code: 
  
  
  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
  
  
  
  
style_context: 
  
  
  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)}")
  
  
  
  