

import torch

from transformers import AutoTokenizer



class    A__(a_    ):
						"""simple docstring"""






						def __init__(  self       ,     _lowercase  )      ->				Union[str, Any]:
									a_		:		Any				    =				AutoTokenizer.from_pretrained(_lowercase  )





						def 	UpperCamelCase__			(  self       ,     _lowercase  )      ->				Any:

									if isinstance(_lowercase       ,     _lowercase  ) and all(isinstance(_x       ,     _lowercase  ) for _x in x  ):
												a_		:		List[Any]				    =				None
												for l in x:
															a_		:		Dict				    =				self.tokenizer(
															    _lowercase       ,     padding="""max_length"""       ,     max_length=384       ,     truncation=_lowercase       ,     return_tensors="""pt"""       ,     )
															a_		:		Union[str, Any]				    =				torch.tensor([len(_lowercase  )]  )
															if d is not None:
																		for k in d.keys():
																					a_		:		Optional[Any]				    =				torch.cat((d[k], t[k])       ,     0  )
															else:
																		a_		:		Union[str, Any]				    =				t

												a_		:		int				    =				torch.tensor(self.tokenizer.convert_tokens_to_ids("""[E]"""  )  )
												a_		:		Optional[int]				    =				torch.tensor(self.tokenizer.convert_tokens_to_ids("""[/E]"""  )  )

									elif isinstance(_lowercase       ,     _lowercase  ) and all(isinstance(_x       ,     _lowercase  ) for _x in x  ):
												a_		:		int				    =				self.tokenizer(
												    _lowercase       ,     padding="""max_length"""       ,     max_length=384       ,     truncation=_lowercase       ,     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       ,     _lowercase       ,     _lowercase       ,     _lowercase       ,     _lowercase       ,     _lowercase=0.7_0  )      ->				List[str]:
									a_		:		Optional[int]				    =				[]
									for idx in range(len(W_query["""input_ids"""]  )  ):
												a_		:		str				    =				range(p_start.shape[1]  )

												a_		:		int				    =				[]
												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 _lowercase  : (tup[2] * tup[3])       ,     reverse=_lowercase  )
												a_		:		str				    =				[]
												for k in range(len(_lowercase  )  ):
															if output[k][2] * output[k][3] >= thresh:
																		a_    ,			a_		:		Any				    =				output[k][0], output[k][1]
																		a_		:		Optional[int]				    =				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(_lowercase  )

									return final_outputs





from collections import namedtuple

__snake_case							:     Optional[Any] 						=	namedtuple("""from_to""", """from_ to""")

__snake_case							:     Tuple 						=	{
    """millimeter""": """mm""",
    """centimeter""": """cm""",
    """meter""": """m""",
    """kilometer""": """km""",
    """inch""": """in""",
    """inche""": """in""",  # Trailing 's' has been stripped off
    """feet""": """ft""",
    """foot""": """ft""",
    """yard""": """yd""",
    """mile""": """mi""",
}

__snake_case							:     Optional[int] 						=	{
    """mm""": from_to(0.001, 10_00),
    """cm""": from_to(0.01, 1_00),
    """m""": from_to(1, 1),
    """km""": from_to(10_00, 0.001),
    """in""": from_to(0.0254, 39.3701),
    """ft""": from_to(0.3048, 3.2_8084),
    """yd""": from_to(0.9144, 1.0_9361),
    """mi""": from_to(1609.34, 0.0_0062_1371),
}


def 			_UpperCAmelCase							(		a__       ,					a__       ,					a__):

			'''simple docstring'''



			a_		:		List[str]				    =				from_type.lower().rstrip("""s""")
			a_		:		Union[str, Any]				    =				TYPE_CONVERSION.get(a__       ,					a__)
			a_		:		Optional[int]				    =				to_type.lower().rstrip("""s""")
			a_		:		Optional[int]				    =				TYPE_CONVERSION.get(a__       ,					a__)
			if new_from not in METRIC_CONVERSION:
						a_		:		Any				    =				(
						    f'''Invalid \'from_type\' value: {from_type!r}.\n'''
						    f'''Conversion abbreviations are: {", ".join(a__)}'''
						)
						raise ValueError(a__)
			if new_to not in METRIC_CONVERSION:
						a_		:		Union[str, Any]				    =				(
						    f'''Invalid \'to_type\' value: {to_type!r}.\n'''
						    f'''Conversion abbreviations are: {", ".join(a__)}'''
						)
						raise ValueError(a__)
			return value * METRIC_CONVERSION[new_from].from_ * METRIC_CONVERSION[new_to].to


if __name__ == "__main__":
	import doctest

	doctest.testmod()


