





import warnings

from ...utils import logging
from .image_processing_glpn import GLPNImageProcessor


__lowerCamelCase       :     Optional[Any]   =     logging.get_logger(__name__)



class 					A__   (       __snake_case			):





      def __init__( self       ,							*A_       ,							**A_   ):
       '''simple docstring'''




       warnings.warn(
           "The class GLPNFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
           " use GLPNImageProcessor instead."       ,							A_       ,							)
       super().__init__(*A_       ,							**A_   )







from typing import TYPE_CHECKING

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


__lowerCamelCase       :     Optional[int]   =     {"""configuration_mmbt""": ["""MMBTConfig"""]}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCamelCase       :     List[Any]   =     ["""MMBTForClassification""", """MMBTModel""", """ModalEmbeddings"""]


if TYPE_CHECKING:
    from .configuration_mmbt import MMBTConfig

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_mmbt import MMBTForClassification, MMBTModel, ModalEmbeddings

else:
    import sys

    __lowerCamelCase       :     int   =     _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
