# coding=utf-8
# Copyright 2021 The IDEA Authors. All rights reserved.

# 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.

from typing import TYPE_CHECKING

from transformers.file_utils import _LazyModule, is_torch_available


_import_structure = {
    "configuration_longformer": ["LongformerConfig"],
    "tokenization_longformer": ["LongformerTokenizer"],
}

if is_torch_available():
    _import_structure["modeling_longformer"] = [
        "LongformerModel",
        "LongformerForMaskedLM",
        "LongformerForMultipleChoice",
        "LongformerPreTrainedModel",
        "LongformerForQuestionAnswering",
        "LongformerForSequenceClassification",
        "LongformerForTokenClassification",
    ]


if TYPE_CHECKING:
    from .configuration_longformer import LongformerConfig
    from .tokenization_longformer import LongformerTokenizer

    if is_torch_available():
        from .modeling_longformer import (
            LongformerModel,
            LongformerForMaskedLM,
            LongformerForMultipleChoice,
            LongformerPreTrainedModel,
            LongformerForQuestionAnswering,
            LongformerForSequenceClassification,
            LongformerForTokenClassification,
        )
else:
    import sys

    sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure)