






'''simple docstring'''

import numpy as np

from transformers import Pipeline



def 				snake_case       (  a_				:			str						)							->					Dict:





      """simple docstring"""

      UpperCamelCase_					: int            =				np.max(a_     , axis=-1     , keepdims=a_						)
      UpperCamelCase_					: str            =				np.exp(outputs - maxes						)
      return shifted_exp / shifted_exp.sum(axis=-1     , keepdims=a_						)




class      A     (   SCREAMING_SNAKE_CASE__    ):






 """simple docstring"""





 def 	_UpperCAmelCase							(				self      ,  **__lowerCAmelCase			):
       UpperCamelCase_					: str            =				{}
       if "second_text" in kwargs:
             UpperCamelCase_					: Union[str, Any]            =				kwargs["""second_text"""]
       return preprocess_kwargs, {}, {}
 def 	_UpperCAmelCase							(				self      ,  __lowerCAmelCase      ,  __lowerCAmelCase=None			):
       return self.tokenizer(__lowerCAmelCase      ,  text_pair=__lowerCAmelCase      ,  return_tensors=self.framework			)
 def 	_UpperCAmelCase							(				self      ,  __lowerCAmelCase			):
       return self.model(**__lowerCAmelCase			)





 def 	_UpperCAmelCase							(				self      ,  __lowerCAmelCase			):
       UpperCamelCase_					: Any            =				model_outputs.logits[0].numpy()
       UpperCamelCase_					: str            =				softmax(__lowerCAmelCase			)

       UpperCamelCase_					: Any            =				np.argmax(__lowerCAmelCase			)
       UpperCamelCase_					: Tuple            =				self.model.config.idalabel[best_class]
       UpperCamelCase_					: List[str]            =				probabilities[best_class].item()
       UpperCamelCase_					: List[str]            =				logits.tolist()
       return {"label": label, "score": score, "logits": logits}














'''simple docstring'''

UpperCamelCase      					="Input must be a string of 8 numbers plus letter"
UpperCamelCase      					="TRWAGMYFPDXBNJZSQVHLCKE"



def 				snake_case       (  a_				:			str						)							->					bool:





      """simple docstring"""

      if not isinstance(a_     , a_						):
            UpperCamelCase_					: List[str]            =				f"Expected string as input, found {type(a_						).__name__}"
            raise TypeError(a_						)

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

      try:
            UpperCamelCase_					: List[str]            =				int(spanish_id_clean[0:8]						)
            UpperCamelCase_					: Any            =				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()






