
'''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_      =   None


lowerCAmelCase_      =   logging.get_logger(__name__)


lowerCAmelCase_      =   "▁"

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

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







class 		snake_case_       (						A__						):



   """simple docstring"""





   __lowerCAmelCase	:							Tuple								=VOCAB_FILES_NAMES
   __lowerCAmelCase	:							List[Any]								=PRETRAINED_VOCAB_FILES_MAP
   __lowerCAmelCase	:							Tuple								=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __lowerCAmelCase	:							str								=['''input_ids''', '''attention_mask''']
   __lowerCAmelCase	:							Optional[int]								=ReformerTokenizer







   def __init__( self			,   UpperCamelCase=None			,   UpperCamelCase=None			,   UpperCamelCase="</s>"			,   UpperCamelCase="<unk>"			,   UpperCamelCase=[]			,   **UpperCamelCase			,   ):
          super().__init__(
              UpperCamelCase			,   tokenizer_file=UpperCamelCase			,   eos_token=UpperCamelCase			,   unk_token=UpperCamelCase			,   additional_special_tokens=UpperCamelCase			,   **UpperCamelCase			,   )

          lowerCamelCase__				   =      vocab_file
          lowerCamelCase__				   =      False if not self.vocab_file else True







   def     __UpperCAmelCase      ( self			,   UpperCamelCase			,   UpperCamelCase = 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(UpperCamelCase):
                 logger.error(f"""Vocabulary path ({save_directory}) should be a directory""")
                 return
          lowerCamelCase__				   =      os.path.join(
              UpperCamelCase			,   (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"])

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

          return (out_vocab_file,)



'''simple docstring'''







def   lowerCAmelCase(  a__    :  int = 1000      ):







       '''simple docstring'''






       lowerCamelCase__				   =      0
       for i in range(a__      ):
              if i % 3 == 0 or i % 5 == 0:
                     result += i
       return result


if __name__ == "__main__":
    print(f'{solution() = }')

