





'''simple docstring'''







lowercase			:      str			=					[chr(i) for i in range(32, 126)]
lowercase			:      List[Any]			=					list(range(len(alphabets)))
lowercase			:      Union[str, Any]			=					list(range(len(alphabets)))
lowercase			:      Dict			=					list(range(len(alphabets)))
lowercase			:      Union[str, Any]			=					list(reversed(range(len(alphabets))))
lowercase			:      List[str]			=					[]
lowercase			:      int			=					0



def 					lowerCamelCase__							(			):
     global gear_one_pos
     global gear_two_pos
     global gear_three_pos
     snake_case :			Union[str, Any]					   = gear_one[0]
     gear_one.append(__A							)
     del gear_one[0]
     gear_one_pos += 1
     if gear_one_pos % int(len(__A							)							) == 0:
          snake_case :			List[str]					   = gear_two[0]
          gear_two.append(__A							)
          del gear_two[0]
          gear_two_pos += 1
          if gear_two_pos % int(len(__A							)							) == 0:
               snake_case :			List[str]					   = gear_three[0]
               gear_three.append(__A							)
               del gear_three[0]
               gear_three_pos += 1



def 					lowerCamelCase__							(			__lowercase							):
     snake_case :			int					   = alphabets.index(__A							)
     snake_case :			Optional[int]					   = gear_one[target]
     snake_case :			Dict					   = gear_two[target]
     snake_case :			str					   = gear_three[target]
     snake_case :			int					   = reflector[target]
     snake_case :			str					   = gear_three.index(__A							)
     snake_case :			Dict					   = gear_two.index(__A							)
     snake_case :			Tuple					   = gear_one.index(__A							)
     code.append(alphabets[target]							)
     rotator()


if __name__ == "__main__":
      lowercase			:      Any			=					list(input("""Type your message:\n"""))
      while True:
            try:
                  lowercase			:      List[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!"""
      )









'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_torch_available


lowercase			:      Tuple			=					{"""configuration_bert_generation""": ["""BertGenerationConfig"""]}

try:
      if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase			:      Tuple			=					["""BertGenerationTokenizer"""]

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase			:      List[Any]			=					[
          """BertGenerationDecoder""",
          """BertGenerationEncoder""",
          """BertGenerationPreTrainedModel""",
          """load_tf_weights_in_bert_generation""",
      ]


if TYPE_CHECKING:
      from .configuration_bert_generation import BertGenerationConfig

      try:
            if not is_sentencepiece_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_bert_generation import BertGenerationTokenizer

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_bert_generation import (
                BertGenerationDecoder,
                BertGenerationEncoder,
                BertGenerationPreTrainedModel,
                load_tf_weights_in_bert_generation,
            )

else:
      import sys

      lowercase			:      Optional[Any]			=					_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



