# Copyright 2023 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

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_import_structure = {
    "configuration_patchtsmixer": [
        "PATCHTSMIXER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "PatchTSMixerConfig",
    ],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _import_structure["modeling_patchtsmixer"] = [
        "PATCHTSMIXER_PRETRAINED_MODEL_ARCHIVE_LIST",
        "PatchTSMixerPreTrainedModel",
        "PatchTSMixerModel",
        "PatchTSMixerForPretraining",
        "PatchTSMixerForPrediction",
        "PatchTSMixerForTimeSeriesClassification",
        "PatchTSMixerForRegression",
    ]


if TYPE_CHECKING:
    from .configuration_patchtsmixer import (
        PATCHTSMIXER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        PatchTSMixerConfig,
    )

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_patchtsmixer import (
            PATCHTSMIXER_PRETRAINED_MODEL_ARCHIVE_LIST,
            PatchTSMixerForPrediction,
            PatchTSMixerForPretraining,
            PatchTSMixerForRegression,
            PatchTSMixerForTimeSeriesClassification,
            PatchTSMixerModel,
            PatchTSMixerPreTrainedModel,
        )

else:
    import sys

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