# flake8: noqa
# There's no way to ignore "F401 '...' imported but unused" warnings in this
# module, but to preserve other warnings. So, don't check this module at all.

# Copyright 2020 The HuggingFace Team. 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 ...file_utils import (
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


_import_structure = {
    "configuration_pegasus": ["PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP", "PegasusConfig"],
}

if is_sentencepiece_available():
    _import_structure["tokenization_pegasus"] = ["PegasusTokenizer"]

if is_tokenizers_available():
    _import_structure["tokenization_pegasus_fast"] = ["PegasusTokenizerFast"]

if is_torch_available():
    _import_structure["modeling_pegasus"] = [
        "PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST",
        "PegasusForCausalLM",
        "PegasusForConditionalGeneration",
        "PegasusModel",
        "PegasusPreTrainedModel",
    ]

if is_tf_available():
    _import_structure["modeling_tf_pegasus"] = [
        "TFPegasusForConditionalGeneration",
        "TFPegasusModel",
        "TFPegasusPreTrainedModel",
    ]

if is_flax_available():
    _import_structure["modeling_flax_pegasus"] = [
        "FlaxPegasusForConditionalGeneration",
        "FlaxPegasusModel",
        "FlaxPegasusPreTrainedModel",
    ]


if TYPE_CHECKING:
    from .configuration_pegasus import PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusConfig

    if is_sentencepiece_available():
        from .tokenization_pegasus import PegasusTokenizer

    if is_tokenizers_available():
        from .tokenization_pegasus_fast import PegasusTokenizerFast

    if is_torch_available():
        from .modeling_pegasus import (
            PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST,
            PegasusForCausalLM,
            PegasusForConditionalGeneration,
            PegasusModel,
            PegasusPreTrainedModel,
        )

    if is_tf_available():
        from .modeling_tf_pegasus import TFPegasusForConditionalGeneration, TFPegasusModel, TFPegasusPreTrainedModel

    if is_flax_available():
        from .modeling_flax_pegasus import (
            FlaxPegasusForConditionalGeneration,
            FlaxPegasusModel,
            FlaxPegasusPreTrainedModel,
        )

else:
    import sys

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