



UpperCamelCase_									=   [chr(i) for i in range(32, 126)]
UpperCamelCase_									=   list(range(len(alphabets)))
UpperCamelCase_									=   list(range(len(alphabets)))
UpperCamelCase_									=   list(range(len(alphabets)))
UpperCamelCase_									=   list(reversed(range(len(alphabets))))
UpperCamelCase_									=   []
UpperCamelCase_									=   UpperCamelCase_									=   UpperCamelCase_									=   0







def       lowerCamelCase_  (    ):



    '''simple docstring'''




    global gear_one_pos
    global gear_two_pos
    global gear_three_pos
    UpperCAmelCase_     :       int  		=					gear_one[0]
    gear_one.append(_a    )
    del gear_one[0]
    gear_one_pos += 1
    if gear_one_pos % int(len(_a    )    ) == 0:
        UpperCAmelCase_     :       Tuple  		=					gear_two[0]
        gear_two.append(_a    )
        del gear_two[0]
        gear_two_pos += 1
        if gear_two_pos % int(len(_a    )    ) == 0:
            UpperCAmelCase_     :       Optional[int]  		=					gear_three[0]
            gear_three.append(_a    )
            del gear_three[0]
            gear_three_pos += 1







def       lowerCamelCase_  (    _a       :						Any    ):



    '''simple docstring'''




    UpperCAmelCase_     :       List[Any]  		=					alphabets.index(_a    )
    UpperCAmelCase_     :       Dict  		=					gear_one[target]
    UpperCAmelCase_     :       int  		=					gear_two[target]
    UpperCAmelCase_     :       int  		=					gear_three[target]
    UpperCAmelCase_     :       Optional[Any]  		=					reflector[target]
    UpperCAmelCase_     :       Tuple  		=					gear_three.index(_a    )
    UpperCAmelCase_     :       Optional[Any]  		=					gear_two.index(_a    )
    UpperCAmelCase_     :       str  		=					gear_one.index(_a    )
    code.append(alphabets[target]    )
    rotator()


if __name__ == "__main__":
      UpperCamelCase_									=   list(input('''Type your message:\n'''))
      while True:
            try:
                  UpperCamelCase_									=   int(input('''Please set token:(must be only digits)\n'''))
                  break
            except Exception as error:
                  print(error)
      for _ in range(token):
            rotator()
      for j in decode:
            engine(j)
      print('''\n''' + ''''''.join(code))
      print(
          F"\nYour Token is {token} please write it down.\nIf you want to decode "
          '''this message again you should input same digits as token!'''
      )



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:
       UpperCamelCase__	:   Optional[int]								=     None


UpperCamelCase__	:   Union[str, Any]								=     logging.get_logger(__name__)


UpperCamelCase__	:   Any								=     "▁"

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

UpperCamelCase__	:   List[Any]								=     {
    "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"
        )
    },
}

UpperCamelCase__	:   Optional[Any]								=     {
    "google/reformer-crime-and-punishment": 524_288,
}



class    __snake_case	(     lowerCAmelCase__							):
  __lowerCAmelCase  :						int    			=	VOCAB_FILES_NAMES
  __lowerCAmelCase  :						int    			=	PRETRAINED_VOCAB_FILES_MAP
  __lowerCAmelCase  :						Tuple    			=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  __lowerCAmelCase  :						List[str]    			=	['input_ids', 'attention_mask']
  __lowerCAmelCase  :						Dict    			=	ReformerTokenizer

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

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


  def     lowerCAmelCase__  (       self    ,		_A    ,		_A = 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
      SCREAMING_SNAKE_CASE_						=    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,)


