

'''simple docstring'''
import torch

from transformers import AutoTokenizer
class  _snake_case						(__SCREAMING_SNAKE_CASE):






			def __init__(   self       ,_snake_case			):
				UpperCAmelCase_			:	Optional[Any]      =   AutoTokenizer.from_pretrained(_snake_case			)






			def 						UpperCamelCase__				(   self       ,_snake_case			):

				if isinstance(_snake_case       ,_snake_case			) and all(isinstance(_x       ,_snake_case			) for _x in x			):
					UpperCAmelCase_			:	List[str]      =   None
					for l in x:
						UpperCAmelCase_			:	int      =   self.tokenizer(
						    _snake_case       ,padding="max_length"       ,max_length=3_84       ,truncation=_snake_case       ,return_tensors="pt"       ,)
						UpperCAmelCase_			:	List[str]      =   torch.tensor([len(_snake_case			)]			)
						if d is not None:
							for k in d.keys():
								UpperCAmelCase_			:	List[str]      =   torch.cat((d[k], t[k])       ,0			)
						else:
							UpperCAmelCase_			:	Union[str, Any]      =   t

					UpperCAmelCase_			:	Tuple      =   torch.tensor(self.tokenizer.convert_tokens_to_ids("[E]"			)			)
					UpperCAmelCase_			:	Any      =   torch.tensor(self.tokenizer.convert_tokens_to_ids("[/E]"			)			)

				elif isinstance(_snake_case       ,_snake_case			) and all(isinstance(_x       ,_snake_case			) for _x in x			):
					UpperCAmelCase_			:	Union[str, Any]      =   self.tokenizer(
					    _snake_case       ,padding="max_length"       ,max_length=3_84       ,truncation=_snake_case       ,return_tensors="pt"       ,)

				else:
					raise Exception(
					    "Type of parameter x was not recognized! Only `list of strings` for query or `list of lists of"
					    " strings` for supports are supported."			)

				return d






			def 						UpperCamelCase__				(   self       ,_snake_case       ,_snake_case       ,_snake_case       ,_snake_case       ,_snake_case=0.70			):
				UpperCAmelCase_			:	Dict      =   []
				for idx in range(len(W_query["input_ids"]			)			):
					UpperCAmelCase_			:	Tuple      =   range(p_start.shape[1]			)

					UpperCAmelCase_			:	Tuple      =   []
					for start_id in start_indexes:
						for end_id in end_indexes:
							if start_id < end_id:
								output.append(
								    (
								        start_id,
								        end_id,
								        p_start[idx][start_id].item(),
								        p_end[idx][end_id].item(),
								    )			)

					output.sort(key=lambda _snake_case			: (tup[2] * tup[3])       ,reverse=_snake_case			)
					UpperCAmelCase_			:	Union[str, Any]      =   []
					for k in range(len(_snake_case			)			):
						if output[k][2] * output[k][3] >= thresh:
							UpperCAmelCase_ , UpperCAmelCase_			:	Optional[int]      =   output[k][0], output[k][1]
							UpperCAmelCase_			:	Optional[Any]      =   self.tokenizer.decode(W_query["input_ids"][idx][c_start_pos:c_end_pos]			)
							temp.append((decoded, output[k][2] * output[k][3])			)

					final_outputs.append(_snake_case			)

				return final_outputs







'''simple docstring'''
def       a__    (  _SCREAMING_SNAKE_CASE					:    list     ,							_SCREAMING_SNAKE_CASE					:    int							)			-> int:


	"""simple docstring"""





	for index, item in enumerate(_SCREAMING_SNAKE_CASE							):
		if item == target:
			return index
	return -1


def       a__    (  _SCREAMING_SNAKE_CASE					:    list     ,							_SCREAMING_SNAKE_CASE					:    int     ,							_SCREAMING_SNAKE_CASE					:    int     ,							_SCREAMING_SNAKE_CASE					:    int							)			-> int:


	"""simple docstring"""





	if not (0 <= high < len(_SCREAMING_SNAKE_CASE							) and 0 <= low < len(_SCREAMING_SNAKE_CASE							)):
		raise Exception("Invalid upper or lower bound!"							)
	if high < low:
		return -1
	if sequence[low] == target:
		return low
	if sequence[high] == target:
		return high
	return rec_linear_search(_SCREAMING_SNAKE_CASE     ,							low + 1     ,							high - 1     ,							_SCREAMING_SNAKE_CASE							)


if __name__ == "__main__":
					_lowerCamelCase	 =			input("""Enter numbers separated by comma:\n""").strip()
					_lowerCamelCase	 =			[int(item.strip()) for item in user_input.split(""",""")]

					_lowerCamelCase	 =			int(input("""Enter a single number to be found in the list:\n""").strip())
					_lowerCamelCase	 =			linear_search(sequence, target)
					if result != -1:
										print(f"""linear_search({sequence}, {target}) = {result}""")
					else:
										print(f"""{target} was not found in {sequence}""")




