





"""simple docstring"""


def 				a__      (	_UpperCAmelCase						,  _UpperCAmelCase = 1_3						)     ->	str:

 '''simple docstring'''






 snake_case__     				=					""
 for c in s:
  if "A" <= c <= "Z":
   out += chr(ord("A"						) + (ord(_UpperCAmelCase						) - ord("A"						) + n) % 2_6						)
  elif "a" <= c <= "z":
   out += chr(ord("a"						) + (ord(_UpperCAmelCase						) - ord("a"						) + n) % 2_6						)
  else:
   out += c
 return out





def 				a__      (	)     ->	None:

 '''simple docstring'''






 snake_case__     				=					input("Enter message: "						)

 snake_case__     				=					dencrypt(_UpperCAmelCase						,  1_3						)
 print("Encryption:"						,  _UpperCAmelCase						)

 snake_case__     				=					dencrypt(_UpperCAmelCase						,  1_3						)
 print("Decryption: "						,  _UpperCAmelCase						)


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   main()








"""simple docstring"""


from typing import TYPE_CHECKING

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


a__       :  List[Any]       		=					{
    """configuration_realm""": ["""REALM_PRETRAINED_CONFIG_ARCHIVE_MAP""", """RealmConfig"""],
    """tokenization_realm""": ["""RealmTokenizer"""],
}

try:
   if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   a__       :  Union[str, Any]       		=					["""RealmTokenizerFast"""]

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   a__       :  Dict       		=					[
       """REALM_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """RealmEmbedder""",
       """RealmForOpenQA""",
       """RealmKnowledgeAugEncoder""",
       """RealmPreTrainedModel""",
       """RealmReader""",
       """RealmScorer""",
       """load_tf_weights_in_realm""",
   ]
   a__       :  Any       		=					["""RealmRetriever"""]


if TYPE_CHECKING:
   from .configuration_realm import REALM_PRETRAINED_CONFIG_ARCHIVE_MAP, RealmConfig
   from .tokenization_realm import RealmTokenizer

   try:
      if not is_tokenizers_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_realm import RealmTokenizerFast

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_realm import (
          REALM_PRETRAINED_MODEL_ARCHIVE_LIST,
          RealmEmbedder,
          RealmForOpenQA,
          RealmKnowledgeAugEncoder,
          RealmPreTrainedModel,
          RealmReader,
          RealmScorer,
          load_tf_weights_in_realm,
      )
      from .retrieval_realm import RealmRetriever


else:
   import sys

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

