


'''simple docstring'''

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


lowerCAmelCase				:List[str]        =      logging.get_logger(__name__)

lowerCAmelCase				:int        =      {
    '''tanreinama/GPTSAN-2.8B-spout_is_uniform''': (
        '''https://huggingface.co/tanreinama/GPTSAN-2.8B-spout_is_uniform/resolve/main/config.json'''
    ),
}
class _lowerCamelCase	(						lowercase__							):



		'''simple docstring'''







		A_     :      str				   =    """gptsan-japanese"""
		A_     :      Tuple				   =    [
		    """past_key_values""",
		]
		A_     :      Tuple				   =    {
		    """hidden_size""": """d_model""",
		    """num_attention_heads""": """num_heads""",
		    """num_hidden_layers""": """num_layers""",
		}







		def __init__( self		:						Tuple  ,					_A		:						List[Any]=36000  ,					_A		:						str=1280  ,					_A		:						List[Any]=1024  ,					_A		:						Tuple=8192  ,					_A		:						List[Any]=4096  ,					_A		:						int=128  ,					_A		:						List[str]=10  ,					_A		:						Optional[int]=0  ,					_A		:						Any=16  ,					_A		:						List[Any]=16  ,					_A		:						int=128  ,					_A		:						Optional[Any]=0.0  ,					_A		:						Optional[Any]=1E-5  ,					_A		:						int=False  ,					_A		:						int=0.0  ,					_A		:						Any="float32"  ,					_A		:						List[str]=False  ,					_A		:						int=False  ,					_A		:						Optional[Any]=False  ,					_A		:						Optional[Any]=0.002  ,					_A		:						Any=False  ,					_A		:						Any=True  ,					_A		:						List[Any]=35998  ,					_A		:						List[Any]=35995  ,					_A		:						Dict=35999  ,					**_A		:						List[str]  ,					)  ->			Tuple:
			__magic_name__	:   Optional[Any]					     =					vocab_size
			__magic_name__	:   int					     =					max_position_embeddings
			__magic_name__	:   Union[str, Any]					     =					d_model
			__magic_name__	:   Optional[Any]					     =					d_ff
			__magic_name__	:   List[str]					     =					d_ext
			__magic_name__	:   str					     =					d_spout
			__magic_name__	:   Union[str, Any]					     =					num_switch_layers
			__magic_name__	:   str					     =					num_ext_layers
			__magic_name__	:   List[str]					     =					num_switch_layers + num_ext_layers
			__magic_name__	:   int					     =					num_heads
			__magic_name__	:   Dict					     =					num_experts
			__magic_name__	:   str					     =					expert_capacity
			__magic_name__	:   Dict					     =					dropout_rate
			__magic_name__	:   Union[str, Any]					     =					layer_norm_epsilon
			__magic_name__	:   Optional[int]					     =					router_bias
			__magic_name__	:   Tuple					     =					router_jitter_noise
			__magic_name__	:   Union[str, Any]					     =					router_dtype
			__magic_name__	:   Dict					     =					router_ignore_padding_tokens
			__magic_name__	:   str					     =					output_hidden_states
			__magic_name__	:   List[str]					     =					output_attentions
			__magic_name__	:   List[Any]					     =					initializer_factor
			__magic_name__	:   Optional[Any]					     =					output_router_logits
			__magic_name__	:   Dict					     =					use_cache

			super().__init__(
			    separator_token_id=_A  ,					pad_token_id=_A  ,					eos_token_id=_A  ,					**_A  ,					)



'''simple docstring'''

import socket





def lowerCamelCase      (      ):





	"""simple docstring"""







	__magic_name__	:   List[str]					     =					socket.socket(socket.AF_INET		,		socket.SOCK_STREAM		)
	__magic_name__	:   Union[str, Any]					     =					socket.gethostname()
	__magic_name__	:   int					     =					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:
			__magic_name__	:   Optional[int]					     =					sock.recv(1024		)
			if not data:
				break
			out_file.write(lowerCAmelCase		)

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


if __name__ == "__main__":
							main()