


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


snake_case				:    List[Any]       				=     {
    '''configuration_vision_text_dual_encoder''': ['''VisionTextDualEncoderConfig'''],
    '''processing_vision_text_dual_encoder''': ['''VisionTextDualEncoderProcessor'''],
}


try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     snake_case				:    Dict       				=     ['''VisionTextDualEncoderModel''']


try:
     if not is_flax_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     snake_case				:    Tuple       				=     ['''FlaxVisionTextDualEncoderModel''']

try:
     if not is_tf_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     snake_case				:    Dict       				=     ['''TFVisionTextDualEncoderModel''']


if TYPE_CHECKING:
     from .configuration_vision_text_dual_encoder import VisionTextDualEncoderConfig
     from .processing_vision_text_dual_encoder import VisionTextDualEncoderProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_vision_text_dual_encoder import VisionTextDualEncoderModel

     try:
          if not is_flax_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_flax_vision_text_dual_encoder import FlaxVisionTextDualEncoderModel

     try:
          if not is_tf_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_tf_vision_text_dual_encoder import TFVisionTextDualEncoderModel


else:
     import sys

     snake_case				:    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()




