code: from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  _SCREAMING_SNAKE_CASE   						=    logging.get_logger(__name__)
  
  _SCREAMING_SNAKE_CASE   						=    {
      '''bert-base-uncased''': '''https://huggingface.co/bert-base-uncased/resolve/main/config.json''',
      # QDQBERT models can be loaded from any BERT checkpoint, available at https://huggingface.co/models?filter=bert
  }
  
  
  
  
  
  
  
  class 					UpperCAmelCase_				(							_a    ):
      UpperCAmelCase_			:       Tuple						 =							"qdqbert"
  
  
  
  
      def __init__(					self  :   Any      ,      lowerCAmelCase  :   Optional[Any]=30522      ,      lowerCAmelCase  :   Optional[Any]=768      ,      lowerCAmelCase  :   Optional[Any]=12      ,      lowerCAmelCase  :   Union[str, Any]=12      ,      lowerCAmelCase  :   Tuple=3072      ,      lowerCAmelCase  :   Union[str, Any]="gelu"      ,      lowerCAmelCase  :   List[str]=0.1      ,      lowerCAmelCase  :   int=0.1      ,      lowerCAmelCase  :   Optional[int]=512      ,      lowerCAmelCase  :   List[Any]=2      ,      lowerCAmelCase  :   List[Any]=0.02      ,      lowerCAmelCase  :   str=1e-1_2      ,      lowerCAmelCase  :   List[Any]=True      ,      lowerCAmelCase  :   int=1      ,      lowerCAmelCase  :   Optional[Any]=0      ,      lowerCAmelCase  :   str=2      ,      **lowerCAmelCase  :   List[Any]      ,      )	-> List[Any]:
        super().__init__(pad_token_id=UpperCAmelCase_      ,      bos_token_id=UpperCAmelCase_      ,      eos_token_id=UpperCAmelCase_      ,      **UpperCAmelCase_   )
  
        a__     		= vocab_size
        a__     		= max_position_embeddings
        a__     		= hidden_size
        a__     		= num_hidden_layers
        a__     		= num_attention_heads
        a__     		= intermediate_size
        a__     		= hidden_act
        a__     		= hidden_dropout_prob
        a__     		= attention_probs_dropout_prob
        a__     		= initializer_range
        a__     		= type_vocab_size
        a__     		= layer_norm_eps
        a__     		= use_cache
  
  
style_context: def 				__lowercase	(						lowerCamelCase__ = "mytext.txt" ,				lowerCamelCase__ = False					)				->None:
  
    '''simple docstring'''
  
  
  
  
    import socket
  
    a__     		=     1_23_12  # Reserve a port for your service.
    a__     		=     socket.socket()  # Create a socket object
    a__     		=     socket.gethostname()  # Get local machine name
    sock.bind((host, port)					)  # Bind to the port
    sock.listen(5					)  # Now wait for client connection.
  
    print("Server listening...."					)
  
    while True:
      a__		,a__     		=     sock.accept()  # Establish connection with client.
      print(f"Got connection from {addr}"					)
      a__     		=     conn.recv(10_24					)
      print(f"Server received: {data = }"					)
  
      with open(lowerCamelCase__ ,				"rb"					) as in_file:
        a__     		=     in_file.read(10_24					)
        while data:
          conn.send(lowerCamelCase__					)
          print(f"Sent {data!r}"					)
          a__     		=     in_file.read(10_24					)
  
      print("Done sending"					)
      conn.close()
      if testing:  # Allow the test to complete
        break
  
    sock.shutdown(1					)
    sock.close()
  
  
  if __name__ == "__main__":
       send_file()
  
  