'''simple docstring'''






_UpperCAmelCase						:    List[str]     					=					[chr(i) for i in range(32, 1_26)]
_UpperCAmelCase						:    Any     					=					list(range(len(alphabets)))
_UpperCAmelCase						:    Optional[Any]     					=					list(range(len(alphabets)))
_UpperCAmelCase						:    List[Any]     					=					list(range(len(alphabets)))
_UpperCAmelCase						:    Dict     					=					list(reversed(range(len(alphabets))))
_UpperCAmelCase						:    Optional[int]     					=					[]
_UpperCAmelCase						:    Optional[Any]     					=					0





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





def    _SCREAMING_SNAKE_CASE		(			__snake_case       : Optional[Any]							):
     _A								=     alphabets.index(__snake_case							)
     _A								=     gear_one[target]
     _A								=     gear_two[target]
     _A								=     gear_three[target]
     _A								=     reflector[target]
     _A								=     gear_three.index(__snake_case							)
     _A								=     gear_two.index(__snake_case							)
     _A								=     gear_one.index(__snake_case							)
     code.append(alphabets[target]							)
     rotator()


if __name__ == "__main__":
   _UpperCAmelCase						:    int     					=					list(input('''Type your message:\n'''))
   while True:
      try:
         _UpperCAmelCase						:    str     					=					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						:    Optional[Any]     					=					{
    '''configuration_unispeech_sat''': ['''UNISPEECH_SAT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''UniSpeechSatConfig'''],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _UpperCAmelCase						:    Dict     					=					[
       '''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						:    int     					=					_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



