code: 
  
  
  
  
  
  
  lowerCamelCase			:							Tuple       ='''
  # Installation de Transformers
  ! pip install transformers datasets
  # Pour installer à partir du code source au lieu de la dernière version, commentez la commande ci-dessus et décommentez la suivante.
  # ! pip install git+https://github.com/huggingface/transformers.git
  '''
  
  lowerCamelCase			:							int       =[{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
  lowerCamelCase			:							List[Any]       ={
      '''{processor_class}''': '''FakeProcessorClass''',
      '''{model_class}''': '''FakeModelClass''',
      '''{object_class}''': '''FakeObjectClass''',
  }
style_context: 
  
  
  
  
  
  
  from __future__ import annotations
  
  
  
  
  
  
  
  def 	SCREAMING_SNAKE_CASE							(      __lowerCAmelCase    )				->			list[int]:
       assert (
           isinstance(__lowerCAmelCase      ,					__lowerCAmelCase    ) and mask > 0
       ), f'mask needs to be positive integer, your input {mask}'
       UpperCamelCase__    :     Any        =						[]
       UpperCamelCase__    :     int        =						mask
  
       while submask:
            all_submasks.append(__lowerCAmelCase    )
            UpperCamelCase__    :     List[str]        =						(submask - 1) & mask
  
       return all_submasks
  
  
  if __name__ == "__main__":
   import doctest
  
   doctest.testmod()