






from __future__ import annotations



def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			str    )						->      list[int]:





    """simple docstring"""

    return [ord(__lowercase    ) - 9_6 for elem in plain]



def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			list[int]    )						->      str:





    """simple docstring"""

    return "".join(chr(elem + 9_6    ) for elem in encoded    )



def 			_SCREAMING_SNAKE_CASE						( )						->      None:





    """simple docstring"""

    __A         =	encode(input("""-> """    ).strip().lower()    )
    print("""Encoded: """			,				__lowercase    )
    print("""Decoded:"""			,				decode(__lowercase    )    )


if __name__ == "__main__":
  main()












from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments



def 			_SCREAMING_SNAKE_CASE						( )						->      Tuple:





    """simple docstring"""

    __A         =	HfArgumentParser(__lowercase    )
    __A         =	parser.parse_args_into_dataclasses()[0]
    __A         =	TensorFlowBenchmark(args=__lowercase    )
    try:
        __A         =	parser.parse_args_into_dataclasses()[0]
    except ValueError as e:
        __A         =	"""Arg --no_{0} is no longer used, please use --no-{0} instead."""
        __A         =	""" """.join(str(__lowercase    ).split(""" """    )[:-1]    )
        __A         =	""""""
        __A         =	eval(str(__lowercase    ).split(""" """    )[-1]    )
        __A         =	[]
        for arg in depreciated_args:
            # arg[2:] removes '--'
            if arg[2:] in TensorFlowBenchmark.deprecated_args:
                # arg[5:] removes '--no_'
                full_error_msg += arg_error_msg.format(arg[5:]    )
            else:
                wrong_args.append(__lowercase    )
        if len(__lowercase    ) > 0:
            __A         =	full_error_msg + begin_error_msg + str(__lowercase    )
        raise ValueError(__lowercase    )
    benchmark.run()


if __name__ == "__main__":
  main()




