


import numpy as np

from transformers import Pipeline





def 	_lowerCAmelCase       (    _lowerCAmelCase )						->	Any:


						'''simple docstring'''






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






class     UpperCamelCase(  _a   ):


					def 							SCREAMING_SNAKE_CASE_  (						self	:		str     ,    **SCREAMING_SNAKE_CASE	:		Optional[int]						)			->	Optional[int]:




											'''simple docstring'''

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


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Optional[Any]     ,    SCREAMING_SNAKE_CASE	:		Dict     ,    SCREAMING_SNAKE_CASE	:		Tuple=None						)			->	Any:




											'''simple docstring'''

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


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Optional[Any]     ,    SCREAMING_SNAKE_CASE	:		str						)			->	Any:




											'''simple docstring'''

											return self.model(**SCREAMING_SNAKE_CASE						)






					def 							SCREAMING_SNAKE_CASE_  (						self	:		str     ,    SCREAMING_SNAKE_CASE	:		List[str]						)			->	Optional[int]:




											'''simple docstring'''

											__snake_case				=		model_outputs.logits[0].numpy()
											__snake_case				=		softmax(SCREAMING_SNAKE_CASE						)

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









from __future__ import annotations

from collections.abc import Iterator






class     UpperCamelCase:


					def __init__(						self	:		Union[str, Any]     ,    SCREAMING_SNAKE_CASE	:		int						)			->	None:




											'''simple docstring'''

											__snake_case				=		value
											__snake_case				=		None
											__snake_case				=		None






class     UpperCamelCase:


					def __init__(						self	:		int     ,    SCREAMING_SNAKE_CASE	:		Node						)			->	None:




											'''simple docstring'''

											__snake_case				=		tree


					def 							SCREAMING_SNAKE_CASE_  (						self	:		List[str]     ,    SCREAMING_SNAKE_CASE	:		Node | None						)			->	int:




											'''simple docstring'''

											if node is None:
																	return 0
											return node.value + (
											    self.depth_first_search(node.left						) + self.depth_first_search(node.right						)
											)






					def __iter__(						self	:		int						)			->	Iterator[int]:




											'''simple docstring'''

											yield self.depth_first_search(self.tree						)


if __name__ == "__main__":
	import doctest

	doctest.testmod()





