


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


UpperCamelCase					:       List[str]			    =     {
    """configuration_bridgetower""": [
        """BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """BridgeTowerConfig""",
        """BridgeTowerTextConfig""",
        """BridgeTowerVisionConfig""",
    ],
    """processing_bridgetower""": ["""BridgeTowerProcessor"""],
}

try:
    if not is_vision_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCamelCase					:       int			    =     ["""BridgeTowerImageProcessor"""]

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCamelCase					:       str			    =     [
        """BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST""",
        """BridgeTowerForContrastiveLearning""",
        """BridgeTowerForImageAndTextRetrieval""",
        """BridgeTowerForMaskedLM""",
        """BridgeTowerModel""",
        """BridgeTowerPreTrainedModel""",
    ]


if TYPE_CHECKING:
    from .configuration_bridgetower import (
        BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        BridgeTowerConfig,
        BridgeTowerTextConfig,
        BridgeTowerVisionConfig,
    )
    from .processing_bridgetower import BridgeTowerProcessor

    try:
        if not is_vision_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .image_processing_bridgetower import BridgeTowerImageProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_bridgetower import (
            BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST,
            BridgeTowerForContrastiveLearning,
            BridgeTowerForImageAndTextRetrieval,
            BridgeTowerForMaskedLM,
            BridgeTowerModel,
            BridgeTowerPreTrainedModel,
        )


else:
    import sys

    UpperCamelCase					:       Optional[Any]			    =     _LazyModule(__name__, globals()["""__file__"""], _import_structure)





import warnings

from diffusers import StableDiffusionInpaintPipeline as StableDiffusionInpaintPipeline  # noqa F401


warnings.warn(
    'The `inpainting.py` script is outdated. Please use directly `from diffusers import'
    ' StableDiffusionInpaintPipeline` instead.'
)

