


import torch

from transformers import AutoTokenizer







class 					snake_case__(				UpperCAmelCase__				):







						'''simple docstring'''




						def __init__(					self ,    __lowercase				)       ->     Optional[Any]:
										lowerCAmelCase_			:   Tuple     					=					AutoTokenizer.from_pretrained(__lowercase				)




						def     lowercase_			(					self ,    __lowercase				)       ->     str:

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

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

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

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

										return final_outputs



from transformers import PretrainedConfig







class 					snake_case__(				UpperCAmelCase__				):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__   :	Optional[int]       =				"""custom"""




						def __init__(					self ,    __lowercase=1 ,    **__lowercase				)       ->     Dict:
										lowerCAmelCase_			:   List[Any]     					=					attribute
										super().__init__(**__lowercase				)







class 					snake_case__(				UpperCAmelCase__				):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__   :	int       =				"""custom"""




						def __init__(					self ,    __lowercase=1 ,    **__lowercase				)       ->     List[Any]:
										lowerCAmelCase_			:   Optional[Any]     					=					attribute