






'''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:
      __A     						= None


__A     						= logging.get_logger(__name__)


__A     						= "▁"

__A     						= {"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

__A     						= {
    "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"
        )
    },
}

__A     						= {
    "google/reformer-crime-and-punishment": 5_2_4_2_8_8,
}




class a_     (     UpperCamelCase_				):
   _snake_case	   =				VOCAB_FILES_NAMES
   _snake_case	   =				PRETRAINED_VOCAB_FILES_MAP
   _snake_case	   =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   _snake_case	   =				["""input_ids""", """attention_mask"""]
   _snake_case	   =				ReformerTokenizer







   def __init__(self       , __a=None       , __a=None       , __a="</s>"       , __a="<unk>"       , __a=[]       , **__a       , )      ->   int:
      """simple docstring"""






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

      __snake_case					:   Optional[int]  				=			vocab_file
      __snake_case					:   int  				=			False if not self.vocab_file else True







   def      SCREAMING_SNAKE_CASE__       (self       , __a       , __a = None)      ->   Union[str, Any]:
      """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
      __snake_case					:   Union[str, Any]  				=			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,)





def    UpperCAmelCase__	(  lowerCamelCase ):
  lowercase     :Optional[int]   						=    len(lowerCamelCase )
  if n in (0, 1):
    return 0
  return sum(query * (n - i - 1) for i, query in enumerate(sorted(lowerCamelCase ) ) )


if __name__ == "__main__":
     import doctest

     doctest.testmod()



