




"""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""": 5_2_4_2_8_8,
}







class  _SCREAMING_SNAKE_CASE       (     A__				):



 '''simple docstring'''





 __UpperCAmelCase		   =							VOCAB_FILES_NAMES
 __UpperCAmelCase		   =							PRETRAINED_VOCAB_FILES_MAP
 __UpperCAmelCase		   =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __UpperCAmelCase		   =							['''input_ids''', '''attention_mask''']
 __UpperCAmelCase		   =							ReformerTokenizer






 def __init__(self					,     lowerCAmelCase__=None					,     lowerCAmelCase__=None					,     lowerCAmelCase__="</s>"					,     lowerCAmelCase__="<unk>"					,     lowerCAmelCase__=[]					,     **lowerCAmelCase__					,     ):

  '''simple docstring'''







  super().__init__(
      lowerCAmelCase__					,     tokenizer_file=lowerCAmelCase__					,     eos_token=lowerCAmelCase__					,     unk_token=lowerCAmelCase__					,     additional_special_tokens=lowerCAmelCase__					,     **lowerCAmelCase__					,     )

  _UpperCamelCase      :	int					      =  vocab_file
  _UpperCamelCase      :	List[str]					      =  False if not self.vocab_file else True






 def lowercase_      (self					,     lowerCAmelCase__					,     lowerCAmelCase__ = None   ):

  '''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(lowerCAmelCase__   ):
   logger.error(F"Vocabulary path ({save_directory}) should be a directory"   )
   return
  _UpperCamelCase      :	Tuple					      =  os.path.join(
      lowerCAmelCase__					,     (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]   )

  if os.path.abspath(self.vocab_file   ) != os.path.abspath(lowerCAmelCase__   ):
   copyfile(self.vocab_file					,     lowerCAmelCase__   )

  return (out_vocab_file,)





'''simple docstring'''







def   lowerCAmelCase(  a__    :  float      , a__    :  float      , a__    :  int      ):







       '''simple docstring'''






       lowerCamelCase__				   =      [1 / first_term]
       lowerCamelCase__				   =      1 / first_term
       for _ in range(number_of_terms - 1      ):
              first_term += common_difference
              arithmetic_progression.append(a__      )
       lowerCamelCase__				   =      [1 / step for step in arithmetic_progression]
       return sum(a__      )


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    print(sum_of_harmonic_progression(1 / 2, 2, 2))

