



from __future__ import annotations



def   a_	(			__a		,							__a      ):
     A__	,     A__	,     A__				=   '''''', '''''', ''''''
     A__				=   []

     for character in message_part:
          tmp.append(character_to_number[character]      )

     for each in tmp:
          one += each[0]
          two += each[1]
          three += each[2]

     return one + two + three



def   a_	(			__a		,							__a      ):
     A__	,     A__				=   '''''', ''''''
     A__				=   []

     for character in message_part:
          this_part += character_to_number[character]

     for digit in this_part:
          tmp += digit
          if len(__a      ) == len(__a      ):
               result.append(__a      )
               A__				=   ''''''

     return result[0], result[1], result[2]



def   a_	(			__a		,							__a      ):
     # Validate message and alphabet, set to upper and remove spaces
     A__				=   alphabet.replace(''' '''		,							''''''      ).upper()
     A__				=   message.replace(''' '''		,							''''''      ).upper()

     # Check length and characters
     if len(__a      ) != 27:
          raise KeyError('''Length of alphabet has to be 27.'''      )
     for each in message:
          if each not in alphabet:
               raise ValueError('''Each message character has to be included in alphabet!'''      )

    # Generate dictionares
     A__				=   (
         '''111''',
         '''112''',
         '''113''',
         '''121''',
         '''122''',
         '''123''',
         '''131''',
         '''132''',
         '''133''',
         '''211''',
         '''212''',
         '''213''',
         '''221''',
         '''222''',
         '''223''',
         '''231''',
         '''232''',
         '''233''',
         '''311''',
         '''312''',
         '''313''',
         '''321''',
         '''322''',
         '''323''',
         '''331''',
         '''332''',
         '''333''',
     )
     A__				=   {}
     A__				=   {}
     for letter, number in zip(__a		,							__a      ):
          A__				=   number
          A__				=   letter

     return message, alphabet, character_to_number, number_to_character



def   a_	(			__a		,							__a = "ABCDEFGHIJKLMNOPQRSTUVWXYZ."		,							__a = 5      ):
     A__	,     A__	,     A__	,     A__				=   __prepare(
         __a		,							__a      )
     A__	,     A__				=   '''''', ''''''

     for i in range(0		,							len(__a      ) + 1		,							__a      ):
          encrypted_numeric += __encrypt_part(
              message[i : i + period]		,							__a      )

     for i in range(0		,							len(__a      )		,							3      ):
          encrypted += number_to_character[encrypted_numeric[i : i + 3]]

     return encrypted



def   a_	(			__a		,							__a = "ABCDEFGHIJKLMNOPQRSTUVWXYZ."		,							__a = 5      ):
     A__	,     A__	,     A__	,     A__				=   __prepare(
         __a		,							__a      )
     A__				=   []
     A__				=   ''''''

     for i in range(0		,							len(__a      ) + 1		,							__a      ):
          A__	,     A__	,     A__				=   __decrypt_part(message[i : i + period]		,							__a      )

          for j in range(0		,							len(__a      )      ):
               decrypted_numeric.append(a[j] + b[j] + c[j]      )

     for each in decrypted_numeric:
          decrypted += number_to_character[each]

     return decrypted


if __name__ == "__main__":
 __snake_case	:				Union[str, Any]  					=			'DEFEND THE EAST WALL OF THE CASTLE.'
 __snake_case	:				Optional[int]  					=			encrypt_message(msg, 'EPSDUCVWYM.ZLKXNBTFGORIJHAQ')
 __snake_case	:				Union[str, Any]  					=			decrypt_message(encrypted, 'EPSDUCVWYM.ZLKXNBTFGORIJHAQ')
 print(f'Encrypted: {encrypted}\nDecrypted: {decrypted}')








"""simple docstring"""







from typing import TYPE_CHECKING

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


__snake_case	:				List[Any]  					=			{
    'configuration_unispeech_sat': ['UNISPEECH_SAT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'UniSpeechSatConfig'],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __snake_case	:				str  					=			[
     '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

 __snake_case	:				Union[str, Any]  					=			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



