




'''simple docstring'''







import torch

from transformers import AutoTokenizer


class      _a    (      __a					):
       def __init__(      self		:      List[str]  ,							lowercase		:      Optional[Any]							):



           '''simple docstring'''

           UpperCAmelCase     			=						AutoTokenizer.from_pretrained(lowercase							)
       def        A (      self		:      Tuple  ,							lowercase		:      Any							):



           '''simple docstring'''

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

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

           elif isinstance(lowercase  ,							lowercase							) and all(isinstance(_x  ,							lowercase							) for _x in x							):
               UpperCAmelCase     			=						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        A (      self		:      Tuple  ,							lowercase		:      Dict  ,							lowercase		:      Tuple  ,							lowercase		:      Optional[Any]  ,							lowercase		:      Union[str, Any]  ,							lowercase		:      List[str]=0.70							):



           '''simple docstring'''

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

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










'''simple docstring'''







from ..utils import DummyObject, requires_backends


class      _a    (      metaclass=__a					):
       __a							:	str  							=   ["""torch""", """librosa"""]
       def __init__(      self		:      int  ,							*lowercase		:      Any  ,							**lowercase		:      Optional[int]							):



           '''simple docstring'''

           requires_backends(self  ,							['''torch''', '''librosa''']							)
       @classmethod
       def        A (      cls		:      Optional[int]  ,							*lowercase		:      List[str]  ,							**lowercase		:      str							):



           '''simple docstring'''

           requires_backends(cls  ,							['''torch''', '''librosa''']							)







       @classmethod
       def        A (      cls		:      Dict  ,							*lowercase		:      Optional[int]  ,							**lowercase		:      List[Any]							):



           '''simple docstring'''

           requires_backends(cls  ,							['''torch''', '''librosa''']							)






class      _a    (      metaclass=__a					):
       __a							:	List[Any]  							=   ["""torch""", """librosa"""]
       def __init__(      self		:      int  ,							*lowercase		:      Optional[int]  ,							**lowercase		:      Optional[int]							):



           '''simple docstring'''

           requires_backends(self  ,							['''torch''', '''librosa''']							)
       @classmethod
       def        A (      cls		:      Dict  ,							*lowercase		:      Tuple  ,							**lowercase		:      List[str]							):



           '''simple docstring'''

           requires_backends(cls  ,							['''torch''', '''librosa''']							)







       @classmethod
       def        A (      cls		:      Any  ,							*lowercase		:      Any  ,							**lowercase		:      Tuple							):



           '''simple docstring'''

           requires_backends(cls  ,							['''torch''', '''librosa''']							)




