code: 
  
  from __future__ import annotations
  def 		SCREAMING_SNAKE_CASE__				(							_UpperCAmelCase				)					-> int | float:
  
  
  
      '''simple docstring'''
  
  
  
  
  
  
      if len(_UpperCAmelCase				) == 0:
          raise ValueError('find_max() arg is an empty sequence'				)
      lowerCAmelCase				:			Optional[int]    			=      nums[0]
      for x in nums:
          if x > max_num:
              lowerCAmelCase				:			Any    			=      x
      return max_num
  
  
  if __name__ == "__main__":
   import doctest
  
   doctest.testmod(verbose=True)
  
  
  
  
  
  
style_context: 
  
  __A   :     List[Any]      =			'''
  # 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
  '''
  
  __A   :     Dict      =			[{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
  __A   :     Tuple      =			{
      '''{processor_class}''': '''FakeProcessorClass''',
      '''{model_class}''': '''FakeModelClass''',
      '''{object_class}''': '''FakeObjectClass''',
  }
  
  
  
  
  
  