

from typing import TYPE_CHECKING

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


lowerCAmelCase							:  Optional[int]   	=						{
    """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:
						lowerCAmelCase							:  List[Any]   	=						["""BridgeTowerImageProcessor"""]

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase							:  Dict   	=						[
						    """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

						lowerCAmelCase							:  List[str]   	=						_LazyModule(__name__, globals()["""__file__"""], _import_structure)









"""simple docstring"""





def   _A  (  UpperCamelCase_     :       list[int])	->						float:
   '''simple docstring'''


   if not nums:  # Makes sure that the list is not empty
      raise ValueError("List is empty")

   __lowercase								=						sum(UpperCamelCase_) / len(UpperCamelCase_)  # Calculate the average
   return sum(abs(x - average) for x in nums) / len(UpperCamelCase_)


if __name__ == "__main__":
   import doctest

   doctest.testmod()




