


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






def 		_A		(		_lowercase )					-> bool:


     """simple docstring"""


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

     __UpperCamelCase =			spanish_id.replace('-'					,  '' ).upper()
     if len(_lowercase ) != 9:
          raise ValueError(_lowercase )

     try:
          __UpperCamelCase =			int(spanish_id_clean[0:8] )
          __UpperCamelCase =			spanish_id_clean[8]
     except ValueError as ex:
          raise ValueError(_lowercase ) from ex

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

     return letter == LOOKUP_LETTERS[number % 23]


if __name__ == "__main__":
    import doctest

    doctest.testmod()






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


UpperCAmelCase   :    Union[str, Any]     =		logging.get_logger(__name__)

UpperCAmelCase   :    List[Any]     =		{
    "SCUT-DLVCLab/lilt-roberta-en-base": (
        "https://huggingface.co/SCUT-DLVCLab/lilt-roberta-en-base/resolve/main/config.json"
    ),
}







class        __lowercase       (							a_  ):



		"""simple docstring"""

		UpperCamelCase     :					List[str]			       =		"lilt"







		def __init__( self		,      A=3_05_22		,      A=7_68		,      A=12		,      A=12		,      A=30_72		,      A="gelu"		,      A=0.1		,      A=0.1		,      A=5_12		,      A=2		,      A=0.02		,      A=1e-1_2		,      A=0		,      A="absolute"		,      A=None		,      A=4		,      A=10_24		,      **A		,      )  -> List[Any]:







					'''simple docstring'''







					super().__init__(pad_token_id=A		,      **A	)

					lowerCamelCase    		=  vocab_size
					lowerCamelCase    		=  hidden_size
					lowerCamelCase    		=  num_hidden_layers
					lowerCamelCase    		=  num_attention_heads
					lowerCamelCase    		=  hidden_act
					lowerCamelCase    		=  intermediate_size
					lowerCamelCase    		=  hidden_dropout_prob
					lowerCamelCase    		=  attention_probs_dropout_prob
					lowerCamelCase    		=  max_position_embeddings
					lowerCamelCase    		=  type_vocab_size
					lowerCamelCase    		=  initializer_range
					lowerCamelCase    		=  layer_norm_eps
					lowerCamelCase    		=  position_embedding_type
					lowerCamelCase    		=  classifier_dropout
					lowerCamelCase    		=  channel_shrink_ratio
					lowerCamelCase    		=  max_ad_position_embeddings

