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:
   _lowerCAmelCase       :      Tuple							=							None
  
  
  _lowerCAmelCase       :      Tuple							=							logging.get_logger(__name__)
  
  
  _lowerCAmelCase       :      Any							=							"▁"
  
  _lowerCAmelCase       :      List[Any]							=							{"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}
  
  _lowerCAmelCase       :      str							=							{
      "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"
          )
      },
  }
  
  _lowerCAmelCase       :      Union[str, Any]							=							{
      "google/reformer-crime-and-punishment": 52_42_88,
  }
  
  
  
  
  
  
  class 			UpperCAmelCase_						(       _UpperCamelCase		):
        __SCREAMING_SNAKE_CASE		:     Optional[Any]				  =				VOCAB_FILES_NAMES
        __SCREAMING_SNAKE_CASE		:     Dict				  =				PRETRAINED_VOCAB_FILES_MAP
        __SCREAMING_SNAKE_CASE		:     str				  =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
        __SCREAMING_SNAKE_CASE		:     Dict				  =				['input_ids', 'attention_mask']
        __SCREAMING_SNAKE_CASE		:     str				  =				ReformerTokenizer
  
  
  
        def __init__(  self  :			Any  ,			A  :			str=None  ,			A  :			List[Any]=None  ,			A  :			List[Any]="</s>"  ,			A  :			int="<unk>"  ,			A  :			Optional[Any]=[]  ,			**A  :			List[str]  ,			):
             super().__init__(
                 A  ,			tokenizer_file=A  ,			eos_token=A  ,			unk_token=A  ,			additional_special_tokens=A  ,			**A  ,			)
  
             _UpperCAmelCase    :			Union[str, Any]              =					vocab_file
             _UpperCAmelCase    :			Any              =					False if not self.vocab_file else True
  
  
  
        def 		snake_case_      (  self  :			List[Any]  ,			A  :			str  ,			A  :			Optional[str] = None		):
             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(A		):
                  logger.error(f'Vocabulary path ({save_directory}) should be a directory'		)
                  return
             _UpperCAmelCase    :			Optional[int]              =					os.path.join(
                 A  ,			(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]		)
  
             if os.path.abspath(self.vocab_file		) != os.path.abspath(A		):
                  copyfile(self.vocab_file  ,			A		)
  
             return (out_vocab_file,)
  
style_context: 
  
  
  
  """simple docstring"""
  
  
  
  
  def 		__snake_case		(   SCREAMING_SNAKE_CASE__			:		list       )						->     bool:
  
  
  
  
  
       '''simple docstring'''
  
       if not isinstance(SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__       ):
            raise ValueError("Input series is not valid, valid series - [1, 2/3, 2]"       )
       if len(SCREAMING_SNAKE_CASE__       ) == 0:
            raise ValueError("Input list must be a non empty list"       )
       if len(SCREAMING_SNAKE_CASE__       ) == 1 and series[0] != 0:
            return True
       _UpperCAmelCase    :			Tuple              =					[]
       _UpperCAmelCase    :			Any              =					len(SCREAMING_SNAKE_CASE__       )
       for i in range(0		,						SCREAMING_SNAKE_CASE__       ):
            if series[i] == 0:
                 raise ValueError("Input series cannot have 0 as an element"       )
            rec_series.append(1 / series[i]       )
       _UpperCAmelCase    :			Dict              =					rec_series[1] - rec_series[0]
       for index in range(2		,						SCREAMING_SNAKE_CASE__       ):
            if rec_series[index] - rec_series[index - 1] != common_diff:
                 return False
       return True
  
  def 		__snake_case		(   SCREAMING_SNAKE_CASE__			:		list       )						->     float:
  
  
  
  
  
       '''simple docstring'''
  
       if not isinstance(SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__       ):
            raise ValueError("Input series is not valid, valid series - [2, 4, 6]"       )
       if len(SCREAMING_SNAKE_CASE__       ) == 0:
            raise ValueError("Input list must be a non empty list"       )
       _UpperCAmelCase    :			Any              =					0
       for val in series:
            answer += 1 / val
       return len(SCREAMING_SNAKE_CASE__       ) / answer
  
  
  if __name__ == "__main__":
   import doctest
  
   doctest.testmod()
  