# Copyright 2024 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 transformers.utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
    is_vision_available,
)


_import_structure = {
    "configuration_siglip": [
        "SIGLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "SiglipConfig",
        "SiglipTextConfig",
        "SiglipVisionConfig",
    ],
    "processing_siglip": ["SiglipProcessor"],
    "tokenization_siglip": ["SiglipTokenizer"],
}

try:
    if not is_vision_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _import_structure["image_processing_siglip"] = ["SiglipImageProcessor"]

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _import_structure["modeling_siglip"] = [
        "SIGLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
        "SiglipModel",
        "SiglipPreTrainedModel",
        "SiglipTextModel",
        "SiglipVisionModel",
    ]


if TYPE_CHECKING:
    from .configuration_siglip import (
        SIGLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        SiglipConfig,
        SiglipTextConfig,
        SiglipVisionConfig,
    )
    from .processing_siglip import SiglipProcessor
    from .tokenization_siglip import SiglipTokenizer

    try:
        if not is_vision_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .image_processing_siglip import SiglipImageProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_siglip import (
            SIGLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            SiglipModel,
            SiglipPreTrainedModel,
            SiglipTextModel,
            SiglipVisionModel,
        )


else:
    import sys

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