code: 
  
  """simple docstring"""
  
  
  
  
  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  :					int												=	logging.get_logger(__name__)
  
  __A  :					str												=	{'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}
  
  __A  :					int												=	{
      '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  :					Optional[Any]												=	{
      'microsoft/mpnet-base': 5_12,
  }
  
  __A  :					int												=	{
      'microsoft/mpnet-base': {'do_lower_case': True},
  }
  
  
  
  
  
  class     __UpperCamelCase				(     _A		):
  		SCREAMING_SNAKE_CASE              =					VOCAB_FILES_NAMES
  		SCREAMING_SNAKE_CASE              =					PRETRAINED_VOCAB_FILES_MAP
  		SCREAMING_SNAKE_CASE              =					PRETRAINED_INIT_CONFIGURATION
  		SCREAMING_SNAKE_CASE              =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  		SCREAMING_SNAKE_CASE              =					MPNetTokenizer
  		SCREAMING_SNAKE_CASE              =					["input_ids", "attention_mask"]
  
  
  		def __init__(self				:	Dict  ,  __SCREAMING_SNAKE_CASE				:	Optional[Any]=None  ,  __SCREAMING_SNAKE_CASE				:	int=None  ,  __SCREAMING_SNAKE_CASE				:	List[str]=True  ,  __SCREAMING_SNAKE_CASE				:	List[str]="<s>"  ,  __SCREAMING_SNAKE_CASE				:	Optional[Any]="</s>"  ,  __SCREAMING_SNAKE_CASE				:	List[str]="</s>"  ,  __SCREAMING_SNAKE_CASE				:	Optional[int]="<s>"  ,  __SCREAMING_SNAKE_CASE				:	Optional[Any]="[UNK]"  ,  __SCREAMING_SNAKE_CASE				:	List[str]="<pad>"  ,  __SCREAMING_SNAKE_CASE				:	Tuple="<mask>"  ,  __SCREAMING_SNAKE_CASE				:	Any=True  ,  __SCREAMING_SNAKE_CASE				:	Dict=None  ,  **__SCREAMING_SNAKE_CASE				:	int  ,  ):
  							super().__init__(
  							    __SCREAMING_SNAKE_CASE  ,  tokenizer_file=__SCREAMING_SNAKE_CASE  ,  do_lower_case=__SCREAMING_SNAKE_CASE  ,  bos_token=__SCREAMING_SNAKE_CASE  ,  eos_token=__SCREAMING_SNAKE_CASE  ,  sep_token=__SCREAMING_SNAKE_CASE  ,  cls_token=__SCREAMING_SNAKE_CASE  ,  unk_token=__SCREAMING_SNAKE_CASE  ,  pad_token=__SCREAMING_SNAKE_CASE  ,  mask_token=__SCREAMING_SNAKE_CASE  ,  tokenize_chinese_chars=__SCREAMING_SNAKE_CASE  ,  strip_accents=__SCREAMING_SNAKE_CASE  ,  **__SCREAMING_SNAKE_CASE  ,  )
  
  							A    =      json.loads(self.backend_tokenizer.normalizer.__getstate__())
  							if (
  							    pre_tok_state.get("lowercase"  ,  __SCREAMING_SNAKE_CASE) != do_lower_case
  							    or pre_tok_state.get("strip_accents"  ,  __SCREAMING_SNAKE_CASE) != strip_accents
  							):
  												A    =      getattr(__SCREAMING_SNAKE_CASE  ,  pre_tok_state.pop("type"))
  												A    =      do_lower_case
  												A    =      strip_accents
  												A    =      pre_tok_class(**__SCREAMING_SNAKE_CASE)
  
  							A    =      do_lower_case
  
  
  		@property
  		def       SCREAMING_SNAKE_CASE__     (self				:	str):
  							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       SCREAMING_SNAKE_CASE__     (self				:	Union[str, Any]  ,  __SCREAMING_SNAKE_CASE				:	List[Any]):
  							A    =      AddedToken(__SCREAMING_SNAKE_CASE  ,  lstrip=__SCREAMING_SNAKE_CASE  ,  rstrip=__SCREAMING_SNAKE_CASE) if isinstance(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE) else value
  							A    =      value
  
  
  		def       SCREAMING_SNAKE_CASE__     (self				:	Optional[Any]  ,  __SCREAMING_SNAKE_CASE				:	str  ,  __SCREAMING_SNAKE_CASE				:	Optional[int]=None):
  							A    =      [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       SCREAMING_SNAKE_CASE__     (self				:	int  ,  __SCREAMING_SNAKE_CASE				:	List[int]  ,  __SCREAMING_SNAKE_CASE				:	Optional[List[int]] = None):
  							A    =      [self.sep_token_id]
  							A    =      [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       SCREAMING_SNAKE_CASE__     (self				:	Union[str, Any]  ,  __SCREAMING_SNAKE_CASE				:	str  ,  __SCREAMING_SNAKE_CASE				:	Optional[str] = None):
  							A    =      self._tokenizer.model.save(__SCREAMING_SNAKE_CASE  ,  name=__SCREAMING_SNAKE_CASE)
  							return tuple(__SCREAMING_SNAKE_CASE)
  
  
  
  
  
  
style_context: 
  
  """simple docstring"""
  
  
  
  
  def      __SCREAMING_SNAKE_CASE		(		lowercase__   ):
  					"""simple docstring"""
  					if not isinstance(lowercase__    ,							lowercase__   ):
  										raise ValueError("double_factorial() only accepts integral values"   )
  					if n < 0:
  										raise ValueError("double_factorial() not defined for negative values"   )
  					return 1 if n <= 1 else n * double_factorial(n - 2   )
  
  
  if __name__ == "__main__":
  	import doctest
  
  	doctest.testmod()
  
  
  
  
  
  