


"""simple docstring"""




import torch

from transformers import AutoTokenizer





class __snake_case		(					_SCREAMING_SNAKE_CASE      ):







   """simple docstring"""




   def __init__(		self							:Tuple				,  UpperCamelCase__							:str       ):
          _a          =				AutoTokenizer.from_pretrained(UpperCamelCase__       )




   def SCREAMING_SNAKE_CASE_      (		self							:List[Any]				,  UpperCamelCase__							:Optional[Any]       ):

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

                 _a          =				torch.tensor(self.tokenizer.convert_tokens_to_ids("[E]"       )       )
                 _a          =				torch.tensor(self.tokenizer.convert_tokens_to_ids("[/E]"       )       )

          elif isinstance(UpperCamelCase__				,  UpperCamelCase__       ) and all(isinstance(_x				,  UpperCamelCase__       ) for _x in x       ):
                 _a          =				self.tokenizer(
                     UpperCamelCase__				,  padding="max_length"				,  max_length=384				,  truncation=UpperCamelCase__				,  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 SCREAMING_SNAKE_CASE_      (		self							:Union[str, Any]				,  UpperCamelCase__							:Union[str, Any]				,  UpperCamelCase__							:Any				,  UpperCamelCase__							:List[Any]				,  UpperCamelCase__							:List[Any]				,  UpperCamelCase__							:str=0.70       ):
          _a          =				[]
          for idx in range(len(W_query["input_ids"]       )       ):
                 _a          =				_a          =				range(p_start.shape[1]       )

                 _a          =				[]
                 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 UpperCamelCase__       : (tup[2] * tup[3])				,  reverse=UpperCamelCase__       )
                 _a          =				[]
                 for k in range(len(UpperCamelCase__       )       ):
                        if output[k][2] * output[k][3] >= thresh:
                               _a   , _a          =				output[k][0], output[k][1]
                               _a          =				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(UpperCamelCase__       )

          return final_outputs




"""simple docstring"""




from __future__ import annotations

from collections.abc import Iterator
from typing import Any





class __snake_case		:







   """simple docstring"""




   def __init__(		self							:List[Any]				,  UpperCamelCase__							:Any       ):
          _a          =				data
          _a          =				None




   def __str__(		self							:Any       ):
          return f'{self.data}'






class __snake_case		:







   """simple docstring"""




   def __init__(		self							:Any       ):
          _a          =				None
          _a          =				None




   def __iter__(		self							:List[str]       ):
          _a          =				self.front
          while node:
                 yield node.data
                 _a          =				node.next




   def __len__(		self							:List[str]       ):
          return len(tuple(iter(self       )       )       )




   def __str__(		self							:Union[str, Any]       ):
          return " <- ".join(str(UpperCamelCase__       ) for item in self       )




   def SCREAMING_SNAKE_CASE_      (		self							:Any       ):
          return len(self       ) == 0




   def SCREAMING_SNAKE_CASE_      (		self							:List[str]				,  UpperCamelCase__							:Any       ):
          _a          =				Node(UpperCamelCase__       )
          if self.is_empty():
                 _a          =				_a          =				node
          else:
                 assert isinstance(self.rear				,  UpperCamelCase__       )
                 _a          =				node
                 _a          =				node




   def SCREAMING_SNAKE_CASE_      (		self							:Tuple       ):
          if self.is_empty():
                 raise IndexError("dequeue from empty queue"       )
          assert isinstance(self.front				,  UpperCamelCase__       )
          _a          =				self.front
          _a          =				self.front.next
          if self.front is None:
                 _a          =				None
          return node.data




   def SCREAMING_SNAKE_CASE_      (		self							:int       ):
          _a          =				_a          =				None


if __name__ == "__main__":
   from doctest import testmod

   testmod()
