code: 
  
  
  
  
  """simple docstring"""
  
  
  
  import os
  from shutil import copyfile
  from typing import Optional, Tuple
  
  from ...tokenization_utils_fast import PreTrainedTokenizerFast
  from ...utils import is_sentencepiece_available, logging
  
  
  if is_sentencepiece_available():
        from .tokenization_reformer import ReformerTokenizer
  else:
        SCREAMING_SNAKE_CASE       = None
  
  
  SCREAMING_SNAKE_CASE       = logging.get_logger(__name__)
  
  
  SCREAMING_SNAKE_CASE       = "▁"
  
  SCREAMING_SNAKE_CASE       = {"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}
  
  SCREAMING_SNAKE_CASE       = {
      "vocab_file": {
          "google/reformer-crime-and-punishment": (
              "https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model"
          )
      },
      "tokenizer_file": {
          "google/reformer-crime-and-punishment": (
              "https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/tokenizer.json"
          )
      },
  }
  
  SCREAMING_SNAKE_CASE       = {
      "google/reformer-crime-and-punishment": 52_4288,
  }
  
  
  
  
  class 			UpperCAmelCase_						(		A_							):
  
      '''simple docstring'''
  
  
  
  
  
      lowercase__		      =   VOCAB_FILES_NAMES
      lowercase__		      =   PRETRAINED_VOCAB_FILES_MAP
      lowercase__		      =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      lowercase__		      =   ["input_ids", "attention_mask"]
      lowercase__		      =   ReformerTokenizer
  
  
  
  
      def __init__(					self		: Any			,				snake_case_		: Any=None			,				snake_case_		: Tuple=None			,				snake_case_		: List[Any]="</s>"			,				snake_case_		: Tuple="<unk>"			,				snake_case_		: Union[str, Any]=[]			,				**snake_case_		: List[Any]			,				)   ->							Optional[Any]:
  
  
  
  
       '''simple docstring'''
  
       super().__init__(
           snake_case_			,				tokenizer_file=snake_case_			,				eos_token=snake_case_			,				unk_token=snake_case_			,				additional_special_tokens=snake_case_			,				**snake_case_			,				)
  
       A__ =       vocab_file
       A__ =       False if not self.vocab_file else True
  
  
  
  
      def 							__magic_name__							(					self		: Optional[int]			,				snake_case_		: Dict			,				snake_case_		: str = None   )   ->							Tuple[str]:
  
  
  
  
       '''simple docstring'''
  
       if not self.can_save_slow_tokenizer:
        raise ValueError(
            "Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
            "tokenizer."   )
  
       if not os.path.isdir(snake_case_   ):
        logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""   )
        return
       A__ =       os.path.join(
           snake_case_			,				(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]   )
  
       if os.path.abspath(self.vocab_file   ) != os.path.abspath(snake_case_   ):
        copyfile(self.vocab_file			,				snake_case_   )
  
       return (out_vocab_file,)
  
  
  
  
  
  
style_context: 
  
  
  
  
  """simple docstring"""
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import _LazyModule
  
  
  SCREAMING_SNAKE_CASE       = {"tokenization_bert_japanese": ["BertJapaneseTokenizer", "CharacterTokenizer", "MecabTokenizer"]}
  
  
  if TYPE_CHECKING:
        from .tokenization_bert_japanese import BertJapaneseTokenizer, CharacterTokenizer, MecabTokenizer
  
  else:
        import sys
  
        SCREAMING_SNAKE_CASE       = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
  
  
  
  
  
  