



from string import ascii_uppercase

_lowerCamelCase    :		Dict		      =    {char: i for i, char in enumerate(ascii_uppercase)}
_lowerCamelCase    :		Optional[Any]		      =    dict(enumerate(ascii_uppercase))

def        __a			(   __lowerCAmelCase      ,	__lowerCAmelCase   )     ->     str:
					SCREAMING_SNAKE_CASE							:     List[str]						=				len(__lowerCAmelCase   )
					SCREAMING_SNAKE_CASE							:     List[str]						=				0
					while True:
										if x == i:
															SCREAMING_SNAKE_CASE							:     Dict						=				0
										if len(__lowerCAmelCase   ) == len(__lowerCAmelCase   ):
															break
										key += key[i]
										i += 1
					return key

def        __a			(   __lowerCAmelCase      ,	__lowerCAmelCase   )     ->     str:
					SCREAMING_SNAKE_CASE							:     Optional[int]						=				''
					SCREAMING_SNAKE_CASE							:     Optional[int]						=				0
					for letter in message:
										if letter == " ":
															cipher_text += " "
										else:
															SCREAMING_SNAKE_CASE							:     Union[str, Any]						=				(dicta[letter] - dicta[key_new[i]]) % 26
															i += 1
															cipher_text += dicta[x]
					return cipher_text

def        __a			(   __lowerCAmelCase      ,	__lowerCAmelCase   )     ->     str:
					SCREAMING_SNAKE_CASE							:     Union[str, Any]						=				''
					SCREAMING_SNAKE_CASE							:     Dict						=				0
					for letter in cipher_text:
										if letter == " ":
															or_txt += " "
										else:
															SCREAMING_SNAKE_CASE							:     str						=				(dicta[letter] + dicta[key_new[i]] + 26) % 26
															i += 1
															or_txt += dicta[x]
					return or_txt

def        __a			(   )     ->     None:
					SCREAMING_SNAKE_CASE							:     Tuple						=				'THE GERMAN ATTACK'
					SCREAMING_SNAKE_CASE							:     List[str]						=				'SECRET'
					SCREAMING_SNAKE_CASE							:     Any						=				generate_key(__lowerCAmelCase      ,	__lowerCAmelCase   )
					SCREAMING_SNAKE_CASE							:     int						=				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 datetime import datetime

import matplotlib.pyplot as plt
import torch

def        __a			(   __lowerCAmelCase   )     ->     int:
					for param in module.parameters():
										SCREAMING_SNAKE_CASE							:     List[Any]						=				False

def        __a			(   )     ->     List[str]:
					SCREAMING_SNAKE_CASE							:     List[Any]						=				'cuda' if torch.cuda.is_available() else 'cpu'
					if torch.backends.mps.is_available() and torch.backends.mps.is_built():
										SCREAMING_SNAKE_CASE							:     List[str]						=				'mps'
					if device == "mps":
										print(
										    'WARNING: MPS currently doesn\'t seem to work, and messes up backpropagation without any visible torch'
										    ' errors. I recommend using CUDA on a colab notebook or CPU instead if you\'re facing inexplicable issues'
										    ' with generations.'   )
					return device

def        __a			(   __lowerCAmelCase   )     ->     List[Any]:
					SCREAMING_SNAKE_CASE							:     Optional[int]						=				plt.imshow(__lowerCAmelCase   )
					fig.axes.get_xaxis().set_visible(__lowerCAmelCase   )
					fig.axes.get_yaxis().set_visible(__lowerCAmelCase   )
					plt.show()



def        __a			(   )     ->     Optional[Any]:
					SCREAMING_SNAKE_CASE							:     str						=				datetime.now()
					SCREAMING_SNAKE_CASE							:     Optional[int]						=				current_time.strftime('%H:%M:%S'   )
					return timestamp