






'''simple docstring'''
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__	=     0




def 						__SCREAMING_SNAKE_CASE   (					):


   """simple docstring"""




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




def 						__SCREAMING_SNAKE_CASE   (					_UpperCamelCase							):


   """simple docstring"""




   lowercase_		:      Any          =       alphabets.index(_A							)
   lowercase_		:      Tuple          =       gear_one[target]
   lowercase_		:      Optional[Any]          =       gear_two[target]
   lowercase_		:      Optional[int]          =       gear_three[target]
   lowercase_		:      Union[str, Any]          =       reflector[target]
   lowercase_		:      Union[str, Any]          =       gear_three.index(_A							)
   lowercase_		:      List[Any]          =       gear_two.index(_A							)
   lowercase_		:      List[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!'
 )











'''simple docstring'''
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


UpperCamelCase__	=     {
    'configuration_unispeech_sat': ['UNISPEECH_SAT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'UniSpeechSatConfig'],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 UpperCamelCase__	=     [
     'UNISPEECH_SAT_PRETRAINED_MODEL_ARCHIVE_LIST',
     'UniSpeechSatForAudioFrameClassification',
     'UniSpeechSatForCTC',
     'UniSpeechSatForPreTraining',
     'UniSpeechSatForSequenceClassification',
     'UniSpeechSatForXVector',
     'UniSpeechSatModel',
     'UniSpeechSatPreTrainedModel',
 ]

if TYPE_CHECKING:
 from .configuration_unispeech_sat import UNISPEECH_SAT_PRETRAINED_CONFIG_ARCHIVE_MAP, UniSpeechSatConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_unispeech_sat import (
      UNISPEECH_SAT_PRETRAINED_MODEL_ARCHIVE_LIST,
      UniSpeechSatForAudioFrameClassification,
      UniSpeechSatForCTC,
      UniSpeechSatForPreTraining,
      UniSpeechSatForSequenceClassification,
      UniSpeechSatForXVector,
      UniSpeechSatModel,
      UniSpeechSatPreTrainedModel,
  )

else:
 import sys

 UpperCamelCase__	=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




