



def _lowercase   (  __A							,__A = 13       ):



 '''simple docstring'''



 __UpperCamelCase				      =  """"""
 for c in s:
  if "A" <= c <= "Z":
   out += chr(ord("""A"""       ) + (ord(__A       ) - ord("""A"""       ) + n) % 26       )
  elif "a" <= c <= "z":
   out += chr(ord("""a"""       ) + (ord(__A       ) - ord("""a"""       ) + n) % 26       )
  else:
   out += c
 return out







def _lowercase   (  ):



 '''simple docstring'''



 __UpperCamelCase				      =  input("""Enter message: """       )

 __UpperCamelCase				      =  dencrypt(__A							,13       )
 print("""Encryption:"""							,__A       )

 __UpperCamelCase				      =  dencrypt(__A							,13       )
 print("""Decryption: """							,__A       )


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 main()










'''simple docstring'''



from typing import TYPE_CHECKING

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


a__						:			Optional[int]										=			{
    'configuration_bark': [
        'BARK_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'BarkCoarseConfig',
        'BarkConfig',
        'BarkFineConfig',
        'BarkSemanticConfig',
    ],
    'processing_bark': ['BarkProcessor'],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 a__						:			Any										=			[
     'BARK_PRETRAINED_MODEL_ARCHIVE_LIST',
     'BarkFineModel',
     'BarkSemanticModel',
     'BarkCoarseModel',
     'BarkModel',
     'BarkPreTrainedModel',
     'BarkCausalModel',
 ]

if TYPE_CHECKING:
 from .configuration_bark import (
     BARK_PRETRAINED_CONFIG_ARCHIVE_MAP,
     BarkCoarseConfig,
     BarkConfig,
     BarkFineConfig,
     BarkSemanticConfig,
 )
 from .processing_bark import BarkProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_bark import (
      BARK_PRETRAINED_MODEL_ARCHIVE_LIST,
      BarkCausalModel,
      BarkCoarseModel,
      BarkFineModel,
      BarkModel,
      BarkPreTrainedModel,
      BarkSemanticModel,
  )

else:
 import sys

 a__						:			Tuple										=			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





