



'''simple docstring'''






import baseaa


def 					snake_case_	(   _lowerCAmelCase    :		Dict    ) ->  Union[str, Any]:
							return baseaa.baaencode(string.encode('''utf-8'''    )    )


def 					snake_case_	(   _lowerCAmelCase    :		Tuple    ) ->  str:
							return baseaa.baadecode(UpperCamelCase_    ).decode('''utf-8'''    )


if __name__ == "__main__":
						UpperCamelCase__:  int				      =     '''Hello World!'''
						UpperCamelCase__:  str				      =     baseaa_encode(test)
						print(encoded)

						UpperCamelCase__:  Any				      =     baseaa_decode(encoded)
						print(decoded)









'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging


__SCREAMING_SNAKE_CASE					:				Optional[int]									=		logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE					:				Union[str, Any]									=		{
    '''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"""






						_UpperCAmelCase		:       Optional[int]   						="gptsan-japanese"
						_UpperCAmelCase		:       Union[str, Any]   						=[
						    "past_key_values",
						]
						_UpperCAmelCase		:       int   						={
						    "hidden_size": "d_model",
						    "num_attention_heads": "num_heads",
						    "num_hidden_layers": "num_layers",
						}






						def __init__(  self							:      List[str] ,  lowerCAmelCase							:      Dict=3_60_00 ,  lowerCAmelCase							:      Union[str, Any]=12_80 ,  lowerCAmelCase							:      Tuple=10_24 ,  lowerCAmelCase							:      Any=81_92 ,  lowerCAmelCase							:      List[str]=40_96 ,  lowerCAmelCase							:      Dict=1_28 ,  lowerCAmelCase							:      int=10 ,  lowerCAmelCase							:      str=0 ,  lowerCAmelCase							:      int=16 ,  lowerCAmelCase							:      int=16 ,  lowerCAmelCase							:      str=1_28 ,  lowerCAmelCase							:      Dict=0.0 ,  lowerCAmelCase							:      List[str]=1e-5 ,  lowerCAmelCase							:      List[str]=False ,  lowerCAmelCase							:      int=0.0 ,  lowerCAmelCase							:      Tuple="float32" ,  lowerCAmelCase							:      Optional[int]=False ,  lowerCAmelCase							:      int=False ,  lowerCAmelCase							:      Tuple=False ,  lowerCAmelCase							:      Optional[Any]=0.0_0_2 ,  lowerCAmelCase							:      Tuple=False ,  lowerCAmelCase							:      str=True ,  lowerCAmelCase							:      Optional[int]=3_59_98 ,  lowerCAmelCase							:      Optional[Any]=3_59_95 ,  lowerCAmelCase							:      Tuple=3_59_99 ,  **lowerCAmelCase							:      Dict ,  ):
													A_			    =		vocab_size
													A_			    =		max_position_embeddings
													A_			    =		d_model
													A_			    =		d_ff
													A_			    =		d_ext
													A_			    =		d_spout
													A_			    =		num_switch_layers
													A_			    =		num_ext_layers
													A_			    =		num_switch_layers + num_ext_layers
													A_			    =		num_heads
													A_			    =		num_experts
													A_			    =		expert_capacity
													A_			    =		dropout_rate
													A_			    =		layer_norm_epsilon
													A_			    =		router_bias
													A_			    =		router_jitter_noise
													A_			    =		router_dtype
													A_			    =		router_ignore_padding_tokens
													A_			    =		output_hidden_states
													A_			    =		output_attentions
													A_			    =		initializer_factor
													A_			    =		output_router_logits
													A_			    =		use_cache

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





