





import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mpnet import MPNetTokenizer


a_    :				Union[str, Any]					=			logging.get_logger(__name__)

a_    :				List[Any]					=			{'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

a_    :				Any					=			{
    'vocab_file': {
        'microsoft/mpnet-base': 'https://huggingface.co/microsoft/mpnet-base/resolve/main/vocab.txt',
    },
    'tokenizer_file': {
        'microsoft/mpnet-base': 'https://huggingface.co/microsoft/mpnet-base/resolve/main/tokenizer.json',
    },
}

a_    :				Dict					=			{
    'microsoft/mpnet-base': 512,
}

a_    :				Any					=			{
    'microsoft/mpnet-base': {'do_lower_case': True},
}



class  SCREAMING_SNAKE_CASE_  ( SCREAMING_SNAKE_CASE__			):


  """simple docstring"""





  _a								=							VOCAB_FILES_NAMES
  _a								=							PRETRAINED_VOCAB_FILES_MAP
  _a								=							PRETRAINED_INIT_CONFIGURATION
  _a								=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  _a								=							MPNetTokenizer
  _a								=							["""input_ids""", """attention_mask"""]





  def __init__(  self	,  A=None	,  A=None	,  A=True	,  A="<s>"	,  A="</s>"	,  A="</s>"	,  A="<s>"	,  A="[UNK]"	,  A="<pad>"	,  A="<mask>"	,  A=True	,  A=None	,  **A	,  )		->   str:





       '''simple docstring'''







       super().__init__(
           A	,  tokenizer_file=A	,  do_lower_case=A	,  bos_token=A	,  eos_token=A	,  sep_token=A	,  cls_token=A	,  unk_token=A	,  pad_token=A	,  mask_token=A	,  tokenize_chinese_chars=A	,  strip_accents=A	,  **A	,  )

       __magic_name__				=       json.loads(self.backend_tokenizer.normalizer.__getstate__()						)
       if (
           pre_tok_state.get('''lowercase'''	,  A						) != do_lower_case
           or pre_tok_state.get('''strip_accents'''	,  A						) != strip_accents
       ):
            __magic_name__				=       getattr(A	,  pre_tok_state.pop('''type'''						)						)
            __magic_name__				=       do_lower_case
            __magic_name__				=       strip_accents
            __magic_name__				=       pre_tok_class(**A						)

       __magic_name__				=       do_lower_case





  @property
  def 			__A      (  self						)		->   str:





       '''simple docstring'''







       if self._mask_token is None:
            if self.verbose:
                 logger.error('''Using mask_token, but it is not set yet.'''						)
            return None
       return str(self._mask_token						)





  @mask_token.setter
  def 			__A      (  self	,  A						)		->   List[str]:





       '''simple docstring'''







       __magic_name__				=       AddedToken(A	,  lstrip=A	,  rstrip=A						) if isinstance(A	,  A						) else value
       __magic_name__				=       value





  def 			__A      (  self	,  A	,  A=None						)		->   str:





       '''simple docstring'''







       __magic_name__				=       [self.bos_token_id] + token_ids_a + [self.eos_token_id]
       if token_ids_a is None:
            return output

       return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]





  def 			__A      (  self	,  A	,  A = None						)		->   List[int]:





       '''simple docstring'''







       __magic_name__				=       [self.sep_token_id]
       __magic_name__				=       [self.cls_token_id]

       if token_ids_a is None:
            return len(cls + token_ids_a + sep						) * [0]
       return len(cls + token_ids_a + sep + sep + token_ids_a + sep						) * [0]







  def 			__A      (  self	,  A	,  A = None						)		->   Tuple[str]:





       '''simple docstring'''







       __magic_name__				=       self._tokenizer.model.save(A	,  name=A						)
       return tuple(A						)






from __future__ import annotations

from enum import Enum, unique
from typing import TypeVar

# Create a generic variable that can be 'Enum', or any subclass.
a_    :				List[str]					=			TypeVar('T', bound='Enum')



@unique
class  SCREAMING_SNAKE_CASE_  ( SCREAMING_SNAKE_CASE__			):


  """simple docstring"""





  _a								=							80
  _a								=							70
  _a								=							60
  _a								=							50
  _a								=							40
  _a								=							30
  _a								=							20
  _a								=							10



@unique
class  SCREAMING_SNAKE_CASE_  ( SCREAMING_SNAKE_CASE__			):


  """simple docstring"""





  _a								=							24
  _a								=							21
  _a								=							18
  _a								=							15
  _a								=							12
  _a								=							9
  _a								=							6
  _a								=							3
  _a								=							2
  _a								=							1
  _a								=							-1
  _a								=							-2
  _a								=							-3
  _a								=							-6
  _a								=							-9
  _a								=							-12
  _a								=							-15
  _a								=							-18
  _a								=							-21
  _a								=							-24





  @classmethod
  def 			__A      (  cls						)		->   dict:





       '''simple docstring'''







       return {unit.name: unit.value for unit in cls if unit.value > 0}







  @classmethod
  def 			__A      (  cls						)		->   dict:





       '''simple docstring'''







       return {unit.name: unit.value for unit in cls if unit.value < 0}




def   _SCREAMING_SNAKE_CASE      (	snake_case_		:						float						):
     __magic_name__				=       SIUnit.get_positive() if value > 0 else SIUnit.get_negative()
     for name_prefix, value_prefix in prefixes.items():
          __magic_name__				=       value / (10**value_prefix)
          if numerical_part > 1:
               return f'{numerical_part!s} {name_prefix}'
     return str(snake_case_						)




def   _SCREAMING_SNAKE_CASE      (	snake_case_		:						float						):
     for prefix in BinaryUnit:
          __magic_name__				=       value / (2**prefix.value)
          if numerical_part > 1:
               return f'{numerical_part!s} {prefix.name}'
     return str(snake_case_						)


if __name__ == "__main__":
    import doctest

    doctest.testmod()