



"""simple docstring"""






import torch

from transformers import AutoTokenizer




class    __snake_case(					__A       ):




    def __init__(   self    ,							A_			):





      '''simple docstring'''



      _SCREAMING_SNAKE_CASE        =			AutoTokenizer.from_pretrained(a__			)




    def   A   (   self    ,							A_			):





      '''simple docstring'''



      if isinstance(a__    ,							a__			) and all(isinstance(_x    ,							a__			) for _x in x			):
        _SCREAMING_SNAKE_CASE        =			None
        for l in x:
          _SCREAMING_SNAKE_CASE        =			self.tokenizer(
              a__    ,							padding='''max_length'''    ,							max_length=384    ,							truncation=a__    ,							return_tensors='''pt'''    ,							)
          _SCREAMING_SNAKE_CASE        =			torch.tensor([len(a__			)]			)
          if d is not None:
            for k in d.keys():
              _SCREAMING_SNAKE_CASE        =			torch.cat((d[k], t[k])    ,							0			)
          else:
            _SCREAMING_SNAKE_CASE        =			t

        _SCREAMING_SNAKE_CASE        =			torch.tensor(self.tokenizer.convert_tokens_to_ids('''[E]'''			)			)
        _SCREAMING_SNAKE_CASE        =			torch.tensor(self.tokenizer.convert_tokens_to_ids('''[/E]'''			)			)

      elif isinstance(a__    ,							a__			) and all(isinstance(_x    ,							a__			) for _x in x			):
        _SCREAMING_SNAKE_CASE        =			self.tokenizer(
            a__    ,							padding='''max_length'''    ,							max_length=384    ,							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   A   (   self    ,							A_    ,							A_    ,							A_    ,							A_    ,							A_=0.70			):





      '''simple docstring'''



      _SCREAMING_SNAKE_CASE        =			[]
      for idx in range(len(W_query['''input_ids''']			)			):
        _SCREAMING_SNAKE_CASE        =			_SCREAMING_SNAKE_CASE        =			range(p_start.shape[1]			)

        _SCREAMING_SNAKE_CASE        =			[]
        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__			)
        _SCREAMING_SNAKE_CASE        =			[]
        for k in range(len(a__			)			):
          if output[k][2] * output[k][3] >= thresh:
            _SCREAMING_SNAKE_CASE    ,     _SCREAMING_SNAKE_CASE        =			output[k][0], output[k][1]
            _SCREAMING_SNAKE_CASE        =			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







"""simple docstring"""






def    __lowerCamelCase     (							SCREAMING_SNAKE_CASE				)		->							bool:






       """simple docstring"""




       if not isinstance(SCREAMING_SNAKE_CASE,SCREAMING_SNAKE_CASE				):
              raise ValueError('Input series is not valid, valid series - [2, 4, 8]'				)
       if len(SCREAMING_SNAKE_CASE				) == 0:
              raise ValueError('Input list must be a non empty list'				)
       if len(SCREAMING_SNAKE_CASE				) == 1:
              return True
       try:
              _UpperCAmelCase			     =  series[1] / series[0]
              for index in range(len(SCREAMING_SNAKE_CASE				) - 1				):
                     if series[index + 1] / series[index] != common_ratio:
                            return False
       except ZeroDivisionError:
              return False
       return True

def    __lowerCamelCase     (							SCREAMING_SNAKE_CASE				)		->							float:






       """simple docstring"""




       if not isinstance(SCREAMING_SNAKE_CASE,SCREAMING_SNAKE_CASE				):
              raise ValueError('Input series is not valid, valid series - [2, 4, 8]'				)
       if len(SCREAMING_SNAKE_CASE				) == 0:
              raise ValueError('Input list must be a non empty list'				)
       _UpperCAmelCase			     =  1
       for value in series:
              answer *= value
       return pow(SCREAMING_SNAKE_CASE,1 / len(SCREAMING_SNAKE_CASE				)				)


if __name__ == "__main__":
    import doctest

    doctest.testmod()






