# 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

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_import_structure = {
    "configuration_clap": [
        "ClapAudioConfig",
        "ClapConfig",
        "ClapTextConfig",
    ],
    "processing_clap": ["ClapProcessor"],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _import_structure["modeling_clap"] = [
        "ClapModel",
        "ClapPreTrainedModel",
        "ClapTextModel",
        "ClapTextModelWithProjection",
        "ClapAudioModel",
        "ClapAudioModelWithProjection",
    ]
    _import_structure["feature_extraction_clap"] = ["ClapFeatureExtractor"]

if TYPE_CHECKING:
    from .configuration_clap import (
        ClapAudioConfig,
        ClapConfig,
        ClapTextConfig,
    )
    from .processing_clap import ClapProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .feature_extraction_clap import ClapFeatureExtractor
        from .modeling_clap import (
            ClapAudioModel,
            ClapAudioModelWithProjection,
            ClapModel,
            ClapPreTrainedModel,
            ClapTextModel,
            ClapTextModelWithProjection,
        )


else:
    import sys

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