





import string

def       A__(		__lowerCAmelCase ):
				for key in range(len(string.ascii_uppercase ) ):
								_snake_case :			List[Any]  						=   ''
								for symbol in message:
												if symbol in string.ascii_uppercase:
																_snake_case :			Optional[int]  						=   string.ascii_uppercase.find(__lowerCAmelCase )
																_snake_case :			Tuple  						=   num - key
																if num < 0:
																				_snake_case :			List[Any]  						=   num + len(string.ascii_uppercase )
																_snake_case :			str  						=   translated + string.ascii_uppercase[num]
												else:
																_snake_case :			Union[str, Any]  						=   translated + symbol
								print(F'''Decryption using Key #{key}: {translated}''' )

def       A__(		):
				_snake_case :			Union[str, Any]  						=   input('Encrypted message: ' )
				_snake_case :			Optional[int]  						=   message.upper()
				decrypt(__lowerCAmelCase )


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		main()













lowercase_		:				Tuple				=						'''
# Installazione di Transformers
! pip install transformers datasets
# Per installare dalla fonte invece dell\'ultima versione rilasciata, commenta il comando sopra e
# rimuovi la modalità commento al comando seguente.
# ! pip install git+https://github.com/huggingface/transformers.git
'''

lowercase_		:				Optional[int]				=						[{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
lowercase_		:				str				=						{
    '''{processor_class}''': '''FakeProcessorClass''',
    '''{model_class}''': '''FakeModelClass''',
    '''{object_class}''': '''FakeObjectClass''',
}






