from typing import Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_openai import OpenAIGPTTokenizer


_SCREAMING_SNAKE_CASE:    Dict     						=							logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE:    Optional[int]     						=							{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

_SCREAMING_SNAKE_CASE:    Optional[int]     						=							{
    'vocab_file': {'openai-gpt': 'https://huggingface.co/openai-gpt/resolve/main/vocab.json'},
    'merges_file': {'openai-gpt': 'https://huggingface.co/openai-gpt/resolve/main/merges.txt'},
    'tokenizer_file': {'openai-gpt': 'https://huggingface.co/openai-gpt/resolve/main/tokenizer.json'},
}

_SCREAMING_SNAKE_CASE:    Tuple     						=							{
    'openai-gpt': 512,
}

class 						_SCREAMING_SNAKE_CASE				(  _SCREAMING_SNAKE_CASE				):






		"""simple docstring"""







		A_    			=   VOCAB_FILES_NAMES
		A_    			=   PRETRAINED_VOCAB_FILES_MAP
		A_    			=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		A_    			=   ['''input_ids''', '''attention_mask''']
		A_    			=   OpenAIGPTTokenizer



		def __init__(      self     :					int	,       __SCREAMING_SNAKE_CASE     :					str=None	,       __SCREAMING_SNAKE_CASE     :					Union[str, Any]=None	,       __SCREAMING_SNAKE_CASE     :					List[Any]=None	,       __SCREAMING_SNAKE_CASE     :					Dict="<unk>"	,       **__SCREAMING_SNAKE_CASE     :					List[str] ):






					"""simple docstring"""
					super().__init__(__SCREAMING_SNAKE_CASE	,       __SCREAMING_SNAKE_CASE	,       tokenizer_file=__SCREAMING_SNAKE_CASE	,       unk_token=__SCREAMING_SNAKE_CASE	,       **__SCREAMING_SNAKE_CASE )



		@property
		def 					_a					(      self     :					Any ):






					"""simple docstring"""
					return True







		def 					_a					(      self     :					Optional[Any]	,       __SCREAMING_SNAKE_CASE     :					str	,       __SCREAMING_SNAKE_CASE     :					Optional[str] = None ):






					"""simple docstring"""
					_snake_case														=   self._tokenizer.model.save(__SCREAMING_SNAKE_CASE	,       name=__SCREAMING_SNAKE_CASE )
					return tuple(__SCREAMING_SNAKE_CASE )



'''simple docstring'''
A__ :		Optional[Any]					=[chr(i) for i in range(32, 126)]
A__ :		Tuple					=list(range(len(alphabets)))
A__ :		int					=list(range(len(alphabets)))
A__ :		Optional[Any]					=list(range(len(alphabets)))
A__ :		Any					=list(reversed(range(len(alphabets))))
A__ :		Optional[int]					=[]
A__ :		Tuple					=0







def 							A_  (    )					->							Any:





  """simple docstring"""

  global gear_one_pos
  global gear_two_pos
  global gear_three_pos
  __A		:  Any       				=		gear_one[0]
  gear_one.append(__SCREAMING_SNAKE_CASE			)
  del gear_one[0]
  gear_one_pos += 1
  if gear_one_pos % int(len(__SCREAMING_SNAKE_CASE			)			) == 0:
    __A		:  Any       				=		gear_two[0]
    gear_two.append(__SCREAMING_SNAKE_CASE			)
    del gear_two[0]
    gear_two_pos += 1
    if gear_two_pos % int(len(__SCREAMING_SNAKE_CASE			)			) == 0:
      __A		:  str       				=		gear_three[0]
      gear_three.append(__SCREAMING_SNAKE_CASE			)
      del gear_three[0]
      gear_three_pos += 1







def 							A_  (    __SCREAMING_SNAKE_CASE    :	str			)					->							List[str]:





  """simple docstring"""

  __A		:  Union[str, Any]       				=		alphabets.index(__SCREAMING_SNAKE_CASE			)
  __A		:  Dict       				=		gear_one[target]
  __A		:  int       				=		gear_two[target]
  __A		:  List[str]       				=		gear_three[target]
  __A		:  List[Any]       				=		reflector[target]
  __A		:  List[Any]       				=		gear_three.index(__SCREAMING_SNAKE_CASE			)
  __A		:  Tuple       				=		gear_two.index(__SCREAMING_SNAKE_CASE			)
  __A		:  List[str]       				=		gear_one.index(__SCREAMING_SNAKE_CASE			)
  code.append(alphabets[target]			)
  rotator()


if __name__ == "__main__":
     A__ :		int					=list(input('Type your message:\n'))
     while True:
          try:
               A__ :		Any					=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!'
     )



