

from __future__ import annotations

import bisect
def 						_snake_case(   SCREAMING_SNAKE_CASE__      :     list[int]   ,      SCREAMING_SNAKE_CASE__      :     int   ,      SCREAMING_SNAKE_CASE__      :     int = 0   ,      SCREAMING_SNAKE_CASE__      :     int = -1				)							->				int:





				'''simple docstring'''






				if hi < 0:
								A__   				=       len(SCREAMING_SNAKE_CASE__				)

				while lo < hi:
								A__   				=       lo + (hi - lo) // 2
								if sorted_collection[mid] < item:
												A__   				=       mid + 1
								else:
												A__   				=       mid

				return lo
def 						_snake_case(   SCREAMING_SNAKE_CASE__      :     list[int]   ,      SCREAMING_SNAKE_CASE__      :     int   ,      SCREAMING_SNAKE_CASE__      :     int = 0   ,      SCREAMING_SNAKE_CASE__      :     int = -1				)							->				int:





				'''simple docstring'''






				if hi < 0:
								A__   				=       len(SCREAMING_SNAKE_CASE__				)

				while lo < hi:
								A__   				=       lo + (hi - lo) // 2
								if sorted_collection[mid] <= item:
												A__   				=       mid + 1
								else:
												A__   				=       mid

				return lo
def 						_snake_case(   SCREAMING_SNAKE_CASE__      :     list[int]   ,      SCREAMING_SNAKE_CASE__      :     int   ,      SCREAMING_SNAKE_CASE__      :     int = 0   ,      SCREAMING_SNAKE_CASE__      :     int = -1				)							->				None:





				'''simple docstring'''






				sorted_collection.insert(bisect_left(SCREAMING_SNAKE_CASE__   ,      SCREAMING_SNAKE_CASE__   ,      SCREAMING_SNAKE_CASE__   ,      SCREAMING_SNAKE_CASE__				)   ,      SCREAMING_SNAKE_CASE__				)
def 						_snake_case(   SCREAMING_SNAKE_CASE__      :     list[int]   ,      SCREAMING_SNAKE_CASE__      :     int   ,      SCREAMING_SNAKE_CASE__      :     int = 0   ,      SCREAMING_SNAKE_CASE__      :     int = -1				)							->				None:





				'''simple docstring'''






				sorted_collection.insert(bisect_right(SCREAMING_SNAKE_CASE__   ,      SCREAMING_SNAKE_CASE__   ,      SCREAMING_SNAKE_CASE__   ,      SCREAMING_SNAKE_CASE__				)   ,      SCREAMING_SNAKE_CASE__				)
def 						_snake_case(   SCREAMING_SNAKE_CASE__      :     list[int]   ,      SCREAMING_SNAKE_CASE__      :     int				)							->				int | None:





				'''simple docstring'''






				A__   				=       0
				A__   				=       len(SCREAMING_SNAKE_CASE__				) - 1

				while left <= right:
								A__   				=       left + (right - left) // 2
								A__   				=       sorted_collection[midpoint]
								if current_item == item:
												return midpoint
								elif item < current_item:
												A__   				=       midpoint - 1
								else:
												A__   				=       midpoint + 1
				return None
def 						_snake_case(   SCREAMING_SNAKE_CASE__      :     list[int]   ,      SCREAMING_SNAKE_CASE__      :     int				)							->				int | None:





				'''simple docstring'''






				A__   				=       bisect.bisect_left(SCREAMING_SNAKE_CASE__   ,      SCREAMING_SNAKE_CASE__				)
				if index != len(SCREAMING_SNAKE_CASE__				) and sorted_collection[index] == item:
								return index
				return None
def 						_snake_case(   SCREAMING_SNAKE_CASE__      :     list[int]   ,      SCREAMING_SNAKE_CASE__      :     int   ,      SCREAMING_SNAKE_CASE__      :     int   ,      SCREAMING_SNAKE_CASE__      :     int				)							->				int | None:





				'''simple docstring'''






				if right < left:
								return None

				A__   				=       left + (right - left) // 2

				if sorted_collection[midpoint] == item:
								return midpoint
				elif sorted_collection[midpoint] > item:
								return binary_search_by_recursion(SCREAMING_SNAKE_CASE__   ,      SCREAMING_SNAKE_CASE__   ,      SCREAMING_SNAKE_CASE__   ,      midpoint - 1				)
				else:
								return binary_search_by_recursion(SCREAMING_SNAKE_CASE__   ,      SCREAMING_SNAKE_CASE__   ,      midpoint + 1   ,      SCREAMING_SNAKE_CASE__				)


if __name__ == "__main__":
					lowercase_			=  input("Enter numbers separated by comma:\n").strip()
					lowercase_			=  sorted(int(item) for item in user_input.split(","))
					lowercase_			=  int(input("Enter a single number to be found in the list:\n"))
					lowercase_			=  binary_search(collection, target)
					if result is None:
										print(f"""{target} was not found in {collection}.""")
					else:
										print(f"""{target} was found at position {result} in {collection}.""")




import numpy as np

from transformers import Pipeline
def 						_snake_case(   SCREAMING_SNAKE_CASE__      :     int				)							->				int:





    '''simple docstring'''






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


class 			A						(							_UpperCAmelCase			):







    """simple docstring"""





    def 						snake_case__					(				self			:	Dict,**lowercase_			:	Tuple		)->   Tuple:





        '''simple docstring'''







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


    def 						snake_case__					(				self			:	List[Any],lowercase_			:	int,lowercase_			:	Optional[int]=None		)->   List[str]:





        '''simple docstring'''







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


    def 						snake_case__					(				self			:	str,lowercase_			:	Dict		)->   List[str]:





        '''simple docstring'''







        return self.model(**lowercase_		)


    def 						snake_case__					(				self			:	Dict,lowercase_			:	Optional[int]		)->   Dict:





        '''simple docstring'''







        A__   				=       model_outputs.logits[0].numpy()
        A__   				=       softmax(lowercase_		)

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

