




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


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

lowerCamelCase__					:  List[str]      							=				{
    'tanreinama/GPTSAN-2.8B-spout_is_uniform': (
        'https://huggingface.co/tanreinama/GPTSAN-2.8B-spout_is_uniform/resolve/main/config.json'
    ),
}





class 			lowerCamelCase_				( _SCREAMING_SNAKE_CASE   ):


 '''simple docstring'''







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



 def __init__(				self    :						List[str]							,							_lowerCAmelCase    :						Any=36_000							,							_lowerCAmelCase    :						Any=1_280							,							_lowerCAmelCase    :						Any=1_024							,							_lowerCAmelCase    :						Union[str, Any]=8_192							,							_lowerCAmelCase    :						int=4_096							,							_lowerCAmelCase    :						int=128							,							_lowerCAmelCase    :						int=10							,							_lowerCAmelCase    :						Tuple=0							,							_lowerCAmelCase    :						Union[str, Any]=16							,							_lowerCAmelCase    :						Union[str, Any]=16							,							_lowerCAmelCase    :						Any=128							,							_lowerCAmelCase    :						Dict=0.0							,							_lowerCAmelCase    :						List[str]=1E-5							,							_lowerCAmelCase    :						Union[str, Any]=False							,							_lowerCAmelCase    :						Optional[Any]=0.0							,							_lowerCAmelCase    :						Any="float32"							,							_lowerCAmelCase    :						Union[str, Any]=False							,							_lowerCAmelCase    :						List[Any]=False							,							_lowerCAmelCase    :						int=False							,							_lowerCAmelCase    :						int=0.002							,							_lowerCAmelCase    :						Tuple=False							,							_lowerCAmelCase    :						List[Any]=True							,							_lowerCAmelCase    :						List[str]=35_998							,							_lowerCAmelCase    :						int=35_995							,							_lowerCAmelCase    :						str=35_999							,							**_lowerCAmelCase    :						str							,							):
       SCREAMING_SNAKE_CASE_      		=     vocab_size
       SCREAMING_SNAKE_CASE_      		=     max_position_embeddings
       SCREAMING_SNAKE_CASE_      		=     d_model
       SCREAMING_SNAKE_CASE_      		=     d_ff
       SCREAMING_SNAKE_CASE_      		=     d_ext
       SCREAMING_SNAKE_CASE_      		=     d_spout
       SCREAMING_SNAKE_CASE_      		=     num_switch_layers
       SCREAMING_SNAKE_CASE_      		=     num_ext_layers
       SCREAMING_SNAKE_CASE_      		=     num_switch_layers + num_ext_layers
       SCREAMING_SNAKE_CASE_      		=     num_heads
       SCREAMING_SNAKE_CASE_      		=     num_experts
       SCREAMING_SNAKE_CASE_      		=     expert_capacity
       SCREAMING_SNAKE_CASE_      		=     dropout_rate
       SCREAMING_SNAKE_CASE_      		=     layer_norm_epsilon
       SCREAMING_SNAKE_CASE_      		=     router_bias
       SCREAMING_SNAKE_CASE_      		=     router_jitter_noise
       SCREAMING_SNAKE_CASE_      		=     router_dtype
       SCREAMING_SNAKE_CASE_      		=     router_ignore_padding_tokens
       SCREAMING_SNAKE_CASE_      		=     output_hidden_states
       SCREAMING_SNAKE_CASE_      		=     output_attentions
       SCREAMING_SNAKE_CASE_      		=     initializer_factor
       SCREAMING_SNAKE_CASE_      		=     output_router_logits
       SCREAMING_SNAKE_CASE_      		=     use_cache

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







UpperCAmelCase__      			=						'''Input must be a string of 8 numbers plus letter'''
UpperCAmelCase__      			=						'''TRWAGMYFPDXBNJZSQVHLCKE'''







def     a_   (__A      )				->						bool:



					"""simple docstring"""

					if not isinstance(__A				,       __A      ):
										__a					:						Any      =					f'Expected string as input, found {type(__A      ).__name__}'
										raise TypeError(__A      )

					__a					:						int      =					spanish_id.replace("-"				,       ""      ).upper()
					if len(__A      ) != 9:
										raise ValueError(__A      )

					try:
										__a					:						Tuple      =					int(spanish_id_clean[0:8]      )
										__a					:						Optional[int]      =					spanish_id_clean[8]
					except ValueError as ex:
										raise ValueError(__A      ) from ex

					if letter.isdigit():
										raise ValueError(__A      )

					return letter == LOOKUP_LETTERS[number % 23]


if __name__ == "__main__":
			import doctest

			doctest.testmod()





