




from string import ascii_uppercase

__UpperCamelCase   :			Dict          = {char: i for i, char in enumerate(ascii_uppercase)}
__UpperCamelCase   :			Any          = dict(enumerate(ascii_uppercase))





def 						__A						(      __lowerCamelCase				,     __lowerCamelCase       ) ->			str:
	a									=				len(__lowerCamelCase       )
	a									=				0
	while True:
		if x == i:
			a									=				0
		if len(__lowerCamelCase       ) == len(__lowerCamelCase       ):
			break
		key += key[i]
		i += 1
	return key





def 						__A						(      __lowerCamelCase				,     __lowerCamelCase       ) ->			str:
	a									=				""""""
	a									=				0
	for letter in message:
		if letter == " ":
			cipher_text += " "
		else:
			a									=				(dicta[letter] - dicta[key_new[i]]) % 26
			i += 1
			cipher_text += dicta[x]
	return cipher_text





def 						__A						(      __lowerCamelCase				,     __lowerCamelCase       ) ->			str:
	a									=				""""""
	a									=				0
	for letter in cipher_text:
		if letter == " ":
			or_txt += " "
		else:
			a									=				(dicta[letter] + dicta[key_new[i]] + 26) % 26
			i += 1
			or_txt += dicta[x]
	return or_txt





def 						__A						(      ) ->			None:
	a									=				"""THE GERMAN ATTACK"""
	a									=				"""SECRET"""
	a									=				generate_key(__lowerCamelCase				,     __lowerCamelCase       )
	a									=				cipher_text(__lowerCamelCase				,     __lowerCamelCase       )
	print(f'Encrypted Text = {s}'       )
	print(f'Original Text = {original_text(__lowerCamelCase				,     __lowerCamelCase       )}'       )


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		main()







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__UpperCamelCase   :			Optional[int]          = {
    "configuration_jukebox": [
        "JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "JukeboxConfig",
        "JukeboxPriorConfig",
        "JukeboxVQVAEConfig",
    ],
    "tokenization_jukebox": ["JukeboxTokenizer"],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__UpperCamelCase   :			int          = [
		    "JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST",
		    "JukeboxModel",
		    "JukeboxPreTrainedModel",
		    "JukeboxVQVAE",
		    "JukeboxPrior",
		]

if TYPE_CHECKING:
		from .configuration_jukebox import (
		    JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    JukeboxConfig,
		    JukeboxPriorConfig,
		    JukeboxVQVAEConfig,
		)
		from .tokenization_jukebox import JukeboxTokenizer

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_jukebox import (
				    JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST,
				    JukeboxModel,
				    JukeboxPreTrainedModel,
				    JukeboxPrior,
				    JukeboxVQVAE,
				)

else:
		import sys

		__UpperCamelCase   :			List[str]          = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

