





from ...configuration_utils import PretrainedConfig
from ...utils import logging


snake_case_				=			logging.get_logger(__name__)

snake_case_				=			{
    'google/canine-s': 'https://huggingface.co/google/canine-s/resolve/main/config.json',
    # See all CANINE models at https://huggingface.co/models?filter=canine
}

class 		SCREAMING_SNAKE_CASE__				(       _UpperCAmelCase  ):
      A_						:				Optional[Any]							=    'canine'


      def __init__(self       :      int				,			a__       :      Optional[int]=768				,			a__       :      List[str]=12				,			a__       :      Dict=12				,			a__       :      Dict=3072				,			a__       :      Tuple="gelu"				,			a__       :      Union[str, Any]=0.1				,			a__       :      Optional[int]=0.1				,			a__       :      Any=1_6384				,			a__       :      Dict=16				,			a__       :      Any=0.0_2				,			a__       :      Any=1E-12				,			a__       :      Tuple=0				,			a__       :      List[Any]=0xe_0_0_0				,			a__       :      List[str]=0xe_0_0_1				,			a__       :      List[Any]=4				,			a__       :      Union[str, Any]=4				,			a__       :      Dict=8				,			a__       :      Dict=1_6384				,			a__       :      str=128				,			**a__       :      Optional[Any]				,			):





         """simple docstring"""



         super().__init__(pad_token_id=a__				,			bos_token_id=a__				,			eos_token_id=a__				,			**a__      )

         __snake_case							       =   max_position_embeddings
         __snake_case							       =   hidden_size
         __snake_case							       =   num_hidden_layers
         __snake_case							       =   num_attention_heads
         __snake_case							       =   intermediate_size
         __snake_case							       =   hidden_act
         __snake_case							       =   hidden_dropout_prob
         __snake_case							       =   attention_probs_dropout_prob
         __snake_case							       =   initializer_range
         __snake_case							       =   type_vocab_size
         __snake_case							       =   layer_norm_eps

         # Character config:
         __snake_case							       =   downsampling_rate
         __snake_case							       =   upsampling_kernel_size
         __snake_case							       =   num_hash_functions
         __snake_case							       =   num_hash_buckets
         __snake_case							       =   local_transformer_stride








import socket






def lowerCamelCase__    (							)      ->				Any:
   __snake_case							       =   socket.socket(socket.AF_INET       ,      socket.SOCK_STREAM       )
   __snake_case							       =   socket.gethostname()
   __snake_case							       =   1_2312

   sock.connect((host, port)       )
   sock.send(B'''Hello server!'''       )

   with open('''Received_file'''       ,      '''wb'''       ) as out_file:
      print('''File opened'''       )
      print('''Receiving data...'''       )
      while True:
         __snake_case							       =   sock.recv(1024       )
         if not data:
            break
         out_file.write(snake_case_       )

   print('''Successfully received the file'''       )
   sock.close()
   print('''Connection closed'''       )


if __name__ == "__main__":
    main()

