code: 
  
  
  
  
  
  '''simple docstring'''
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  lowercase_			       =				logging.get_logger(__name__)
  
  lowercase_			       =				{
      """facebook/regnet-y-040""": """https://huggingface.co/facebook/regnet-y-040/blob/main/config.json""",
  }
  
  
  class       a_  (       snake_case_ ):
  
  				'''simple docstring'''
  				UpperCamelCase									=				"regnet"
  				UpperCamelCase									=				["x", "y"]
  
  
  				def __init__(	self				,	A=3				,	A=32				,	A=[128, 192, 512, 1088]				,	A=[2, 6, 12, 2]				,	A=64				,	A="y"				,	A="relu"				,	**A				,	)	->     Tuple:
  								super().__init__(**UpperCamelCase_ )
  								if layer_type not in self.layer_types:
  												raise ValueError(f'layer_type={layer_type} is not one of {",".join(self.layer_types )}' )
  								_SCREAMING_SNAKE_CASE             =    num_channels
  								_SCREAMING_SNAKE_CASE             =    embedding_size
  								_SCREAMING_SNAKE_CASE             =    hidden_sizes
  								_SCREAMING_SNAKE_CASE             =    depths
  								_SCREAMING_SNAKE_CASE             =    groups_width
  								_SCREAMING_SNAKE_CASE             =    layer_type
  								_SCREAMING_SNAKE_CASE             =    hidden_act
  								# always downsample in the first stage
  								_SCREAMING_SNAKE_CASE             =    True
  
  
  
  
style_context: 
  
  
  
  
  
  '''simple docstring'''
  
  def lowerCamelCase		(  __lowerCamelCase				:					str					)		->str:
      _SCREAMING_SNAKE_CASE             =    word.upper()
      _SCREAMING_SNAKE_CASE             =    0
      _SCREAMING_SNAKE_CASE             =    {}
      _SCREAMING_SNAKE_CASE             =    []
  
      for letter in word:
          if letter not in letter_nums:
              _SCREAMING_SNAKE_CASE             =    str(__lowerCamelCase					)
              next_num += 1
          word_pattern.append(letter_nums[letter]					)
      return ".".join(__lowerCamelCase					)
  
  
  if __name__ == "__main__":
        import pprint
        import time
  
        lowercase_			       =				time.time()
        with open("""dictionary.txt""") as in_file:
              lowercase_			       =				in_file.read().splitlines()
  
        lowercase_			       =				{}
        for word in word_list:
              lowercase_			       =				get_word_pattern(word)
              if pattern in all_patterns:
                    all_patterns[pattern].append(word)
              else:
                    lowercase_			       =				[word]
  
        with open("""word_patterns.txt""", """w""") as out_file:
              out_file.write(pprint.pformat(all_patterns))
  
        lowercase_			       =				round(time.time() - start_time, 2)
        print(f"""Done!  {len(all_patterns):,} word patterns found in {total_time} seconds.""")
        # Done!  9,581 word patterns found in 0.58 seconds.
  
  
  
  