






'''simple docstring'''







def 					SCREAMING_SNAKE_CASE_			(UpperCamelCase							,     UpperCamelCase = 13 ) ->			str:
							lowerCamelCase__   :      Dict			    =			""""""
							for c in s:
														if "A" <= c <= "Z":
																					out += chr(ord("""A""" ) + (ord(UpperCamelCase ) - ord("""A""" ) + n) % 26 )
														elif "a" <= c <= "z":
																					out += chr(ord("""a""" ) + (ord(UpperCamelCase ) - ord("""a""" ) + n) % 26 )
														else:
																					out += c
							return out





def 					SCREAMING_SNAKE_CASE_			() ->			None:
							lowerCamelCase__   :      Dict			    =			input("""Enter message: """ )

							lowerCamelCase__   :      str			    =			dencrypt(UpperCamelCase							,     13 )
							print("""Encryption:"""							,     UpperCamelCase )

							lowerCamelCase__   :      List[str]			    =			dencrypt(UpperCamelCase							,     13 )
							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      :     Optional[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      :     str       	=['''RealmTokenizerFast''']

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_A      :     List[Any]       	=[
			    '''REALM_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''RealmEmbedder''',
			    '''RealmForOpenQA''',
			    '''RealmKnowledgeAugEncoder''',
			    '''RealmPreTrainedModel''',
			    '''RealmReader''',
			    '''RealmScorer''',
			    '''load_tf_weights_in_realm''',
			]
			_A      :     Union[str, 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      :     int       	=_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)

