





'''simple docstring'''




from string import ascii_uppercase

a__					:			Optional[int]          =     {char: i for i, char in enumerate(ascii_uppercase)}
a__					:			List[str]          =     dict(enumerate(ascii_uppercase))




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




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




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




def 						__lowerCamelCase			(	)   ->None:
	snake_case__	       =   'THE GERMAN ATTACK'
	snake_case__	       =   'SECRET'
	snake_case__	       =   generate_key(UpperCAmelCase_					,				UpperCAmelCase_							)
	snake_case__	       =   cipher_text(UpperCAmelCase_					,				UpperCAmelCase_							)
	print(f'''Encrypted Text = {s}'''							)
	print(f'''Original Text = {original_text(UpperCAmelCase_					,				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__					:			Dict          =     {
    '''configuration_canine''': ['''CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''CanineConfig'''],
    '''tokenization_canine''': ['''CanineTokenizer'''],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			a__					:			Union[str, Any]          =     [
			    '''CANINE_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''CanineForMultipleChoice''',
			    '''CanineForQuestionAnswering''',
			    '''CanineForSequenceClassification''',
			    '''CanineForTokenClassification''',
			    '''CanineLayer''',
			    '''CanineModel''',
			    '''CaninePreTrainedModel''',
			    '''load_tf_weights_in_canine''',
			]


if TYPE_CHECKING:
			from .configuration_canine import CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP, CanineConfig
			from .tokenization_canine import CanineTokenizer

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_canine import (
						    CANINE_PRETRAINED_MODEL_ARCHIVE_LIST,
						    CanineForMultipleChoice,
						    CanineForQuestionAnswering,
						    CanineForSequenceClassification,
						    CanineForTokenClassification,
						    CanineLayer,
						    CanineModel,
						    CaninePreTrainedModel,
						    load_tf_weights_in_canine,
						)


else:
			import sys

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



