


"""simple docstring"""


A     :   Dict			    =			"Input must be a string of 8 numbers plus letter"
A     :   Tuple			    =			"TRWAGMYFPDXBNJZSQVHLCKE"


def _lowerCamelCase	(		_UpperCamelCase      ):

			'''simple docstring'''




			if not isinstance(_UpperCamelCase    , _UpperCamelCase      ):
						__lowerCAmelCase				    =			f"Expected string as input, found {type(_UpperCamelCase      ).__name__}"
						raise TypeError(_UpperCamelCase      )

			__lowerCAmelCase				    =			spanish_id.replace("-"    , ""      ).upper()
			if len(_UpperCamelCase      ) != 9:
						raise ValueError(_UpperCamelCase      )

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

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

			return letter == LOOKUP_LETTERS[number % 23]


if __name__ == "__main__":
	import doctest

	doctest.testmod()











import numpy as np

from transformers import Pipeline





def lowerCAmelCase__(__snake_case							)				->      Tuple:







	'''simple docstring'''







	lowerCamelCase__								=		np.max(__snake_case       ,axis=-1       ,keepdims=__snake_case							)
	lowerCamelCase__								=		np.exp(outputs - maxes							)
	return shifted_exp / shifted_exp.sum(axis=-1       ,keepdims=__snake_case							)






class 					__A    (    lowerCAmelCase ):

			'''simple docstring'''







			def 		__lowerCamelCase				(    self       ,  **__lowerCAmelCase							):



				'''simple docstring'''







				lowerCamelCase__								=		{}
				if "second_text" in kwargs:
					lowerCamelCase__								=		kwargs['''second_text''']
				return preprocess_kwargs, {}, {}





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase       ,  __lowerCAmelCase=None							):



				'''simple docstring'''







				return self.tokenizer(__lowerCAmelCase       ,  text_pair=__lowerCAmelCase       ,  return_tensors=self.framework							)





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase							):



				'''simple docstring'''







				return self.model(**__lowerCAmelCase							)





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase							):



				'''simple docstring'''







				lowerCamelCase__								=		model_outputs.logits[0].numpy()
				lowerCamelCase__								=		softmax(__lowerCAmelCase							)

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



