



'''simple docstring'''





import torch

from transformers import AutoTokenizer



class        __snake_case		(  UpperCamelCase_		):




							def __init__( self  : List[str]       ,       A_  : Tuple):
									lowerCAmelCase_    :  Union[str, Any]             =				AutoTokenizer.from_pretrained(A_)




							def      UpperCAmelCase__    ( self  : str       ,       A_  : Union[str, Any]):






									if isinstance(A_       ,       A_) and all(isinstance(_x       ,       A_) for _x in x):
											lowerCAmelCase_    :  Dict             =				None
											for l in x:
													lowerCAmelCase_    :  Dict             =				self.tokenizer(
													    A_       ,       padding='''max_length'''       ,       max_length=3_8_4       ,       truncation=A_       ,       return_tensors='''pt'''       ,       )
													lowerCAmelCase_    :  Any             =				torch.tensor([len(A_)])
													if d is not None:
															for k in d.keys():
																	lowerCAmelCase_    :  str             =				torch.cat((d[k], t[k])       ,       0)
													else:
															lowerCAmelCase_    :  str             =				t

											lowerCAmelCase_    :  str             =				torch.tensor(self.tokenizer.convert_tokens_to_ids('''[E]'''))
											lowerCAmelCase_    :  Optional[Any]             =				torch.tensor(self.tokenizer.convert_tokens_to_ids('''[/E]'''))

									elif isinstance(A_       ,       A_) and all(isinstance(_x       ,       A_) for _x in x):
											lowerCAmelCase_    :  Union[str, Any]             =				self.tokenizer(
											    A_       ,       padding='''max_length'''       ,       max_length=3_8_4       ,       truncation=A_       ,       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  : Optional[int]       ,       A_  : Any       ,       A_  : int       ,       A_  : Union[str, Any]       ,       A_  : List[Any]       ,       A_  : Optional[Any]=0.70):
									lowerCAmelCase_    :  Union[str, Any]             =				[]
									for idx in range(len(W_query['''input_ids'''])):
											lowerCAmelCase_    :  Optional[int]             =				range(p_start.shape[1])

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

									return final_outputs










from __future__ import annotations

A__						:						Tuple          =      '''Alexander Joslin'''


def     UpperCamelCase(						__UpperCamelCase							:	int				):

		if number <= 0:
				lowerCAmelCase_    :  str             =				f"""n must be greater than 0. Got n = {number}"""
				raise ValueError(__UpperCamelCase				)

		lowerCAmelCase_    :  str             =				[number + 1] * (number + 1)

		# starting position
		lowerCAmelCase_    :  List[Any]             =				0
		for i in range(1  ,__UpperCamelCase				):
				lowerCAmelCase_    :  int             =				min(table[i + 1]  ,table[i] + 1				)
				# check if out of bounds
				if i * 2 <= number:
						lowerCAmelCase_    :  Union[str, Any]             =				min(table[i * 2]  ,table[i] + 1				)
				# check if out of bounds
				if i * 3 <= number:
						lowerCAmelCase_    :  Union[str, Any]             =				min(table[i * 3]  ,table[i] + 1				)
		return table[number]


if __name__ == "__main__":
						import doctest

						doctest.testmod()





