



import numpy as np

from transformers import Pipeline
def  UpperCamelCase						(       _A			:				str    )->       Tuple:





						"""simple docstring"""





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






class      UpperCamelCase    (						_UpperCAmelCase     ):



	def 			__A							(       self			,	**UpperCAmelCase__		):
							A__							=       {}
							if "second_text" in kwargs:
													A__							=       kwargs["second_text"]
							return preprocess_kwargs, {}, {}



	def 			__A							(       self			,	UpperCAmelCase__			,	UpperCAmelCase__=None		):
							return self.tokenizer(UpperCAmelCase__			,	text_pair=UpperCAmelCase__			,	return_tensors=self.framework		)



	def 			__A							(       self			,	UpperCAmelCase__		):
							return self.model(**UpperCAmelCase__		)



	def 			__A							(       self			,	UpperCAmelCase__		):
							A__							=       model_outputs.logits[0].numpy()
							A__							=       softmax(UpperCAmelCase__		)

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










def  UpperCamelCase						(       _A			:				str			,							_A			:				str    )->       str:





						"""simple docstring"""





						A__							=       len(_A    )
						A__							=       len(_A    )
						A__							=       (
						    first_str_length if first_str_length > second_str_length else second_str_length
						)
						A__							=       []
						for char_count in range(_A    ):
												if char_count < first_str_length:
																		output_list.append(first_str[char_count]    )
												if char_count < second_str_length:
																		output_list.append(second_str[char_count]    )
						return "".join(_A    )


if __name__ == "__main__":
						print(alternative_string_arrange("AB", "XYZ"), end=" ")





