code: 
  
  
  """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
  
style_context: 
  
  
  """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()
  