


import torch

from transformers import AutoTokenizer



class 			a      (      UpperCamelCase_   ):






		def __init__(  self	,     __UpperCamelCase							)->			Tuple:
						'''simple docstring'''


						A__     :							int   				=AutoTokenizer.from_pretrained(__UpperCamelCase							)






		def       lowerCAmelCase_  (  self	,     __UpperCamelCase							)->			Optional[Any]:
						'''simple docstring'''


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

										A__     :							Optional[int]   				=torch.tensor(self.tokenizer.convert_tokens_to_ids('''[E]'''							)							)
										A__     :							Tuple   				=torch.tensor(self.tokenizer.convert_tokens_to_ids('''[/E]'''							)							)

						elif isinstance(__UpperCamelCase	,     __UpperCamelCase							) and all(isinstance(_x	,     __UpperCamelCase							) for _x in x							):
										A__     :							Dict   				=self.tokenizer(
										    __UpperCamelCase	,     padding='''max_length'''	,     max_length=3_84	,     truncation=__UpperCamelCase	,     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       lowerCAmelCase_  (  self	,     __UpperCamelCase	,     __UpperCamelCase	,     __UpperCamelCase	,     __UpperCamelCase	,     __UpperCamelCase=0.70							)->			List[str]:
						'''simple docstring'''


						A__     :							int   				=[]
						for idx in range(len(W_query['''input_ids''']							)							):
										A__     :							List[str]   				=range(p_start.shape[1]							)

										A__     :							Dict   				=[]
										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 __UpperCamelCase							: (tup[2] * tup[3])	,     reverse=__UpperCamelCase							)
										A__     :							str   				=[]
										for k in range(len(__UpperCamelCase							)							):
														if output[k][2] * output[k][3] >= thresh:
																		A__				,  A__     :							str   				=output[k][0], output[k][1]
																		A__     :							List[str]   				=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(__UpperCamelCase							)

						return final_outputs







def   SCREAMING_SNAKE_CASE__						(							snake_case_	)			->							int:
				if number != int(snake_case_	):
								raise ValueError('''factorial() only accepts integral values'''	)
				if number < 0:
								raise ValueError('''factorial() not defined for negative values'''	)
				A__     :							Union[str, Any]   				=1
				for i in range(1,	number + 1	):
								value *= i
				return value



def   SCREAMING_SNAKE_CASE__						(							snake_case_	)			->							int:
				if not isinstance(snake_case_,	snake_case_	):
								raise ValueError('''factorial() only accepts integral values'''	)
				if n < 0:
								raise ValueError('''factorial() not defined for negative values'''	)
				return 1 if n == 0 or n == 1 else n * factorial(n - 1	)


if __name__ == "__main__":
						import doctest

						doctest.testmod()

						__lowerCamelCase       :       Any				   =			int(input("Enter a positive integer: ").strip() or 0)
						print(F"factorial{n} is {factorial(n)}")



