Delete fixtures_image_utils.py

fixtures_image_utils.py

@@ -1,78 +0,0 @@
-# coding=utf-8
-# Copyright 2021 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-import textwrap
-import datasets
-_CITATION = """\\n"""
-_DESCRIPTION = """\\n"""
-class FixturesImageUtilsConfig(datasets.BuilderConfig):
-    """BuilderConfig for fixtures ImageUtils"""
-    def __init__(
-        self,
-        data_url,
-        url,
-        task_templates=None,
-        **kwargs,
-    ):
-        super(FixturesImageUtilsConfig, self).__init__(
-            version=datasets.Version("1.9.0", ""), **kwargs
-        )
-        self.data_url = data_url
-        self.url = url
-        self.task_templates = task_templates
-class FixturesImageUtils(datasets.GeneratorBasedBuilder):
-    """Fixtures for ImageUtils. Includes 1 image."""
-    BUILDER_CONFIGS = [
-        FixturesImageUtilsConfig(
-            name="image",
-            description=textwrap.dedent(""),
-            url="",
-            data_url="",
-        )
-    ]
-    DEFAULT_CONFIG_NAME = "image"
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "id": datasets.Value("string"),
-                    "file": datasets.Value("string"),
-                }
-            ),
-            supervised_keys=("file",),
-            homepage=self.config.url,
-            citation=_CITATION,
-        )
-    def _split_generators(self, dl_manager):
-        DL_URLS = [
-            f"https://huggingface.co/datasets/hf-internal-testing/fixtures_image_utils/raw/main/{name}"
-            for name in ["lena.png", "parrots.png", "tree.png", "cat-rotated.jpg", "cats.jpg", "selena.jpeg"]
-        ]
-        archive_path = dl_manager.download_and_extract(DL_URLS)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"archive_path": archive_path},
-            ),
-        ]
-    def _generate_examples(self, archive_path):
-        """Generate examples."""
-        for i, filename in enumerate(archive_path):
-            key = str(i)
-            example = {
-                "id": key,
-                "file": filename,
-            }
-            yield key, example