


from __future__ import annotations





def 	_lowerCAmelCase					( UpperCamelCase__:  str    )			-> list[int]:





	"""simple docstring"""







	return [ord(UpperCamelCase__    ) - 96 for elem in plain]





def 	_lowerCAmelCase					( UpperCamelCase__:  list[int]    )			-> str:





	"""simple docstring"""







	return "".join(chr(elem + 96    ) for elem in encoded    )





def 	_lowerCAmelCase					( )			-> None:





	"""simple docstring"""







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


if __name__ == "__main__":
				main()







from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments





def 	_lowerCAmelCase					( )			-> str:





	"""simple docstring"""







	A             =					HfArgumentParser(UpperCamelCase__    )
	A             =					parser.parse_args_into_dataclasses()[0]
	A             =					TensorFlowBenchmark(args=UpperCamelCase__    )
	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(UpperCamelCase__    ).split(""" """    )[:-1]    )
		A             =					""""""
		A             =					eval(str(UpperCamelCase__    ).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(UpperCamelCase__    )
		if len(UpperCamelCase__    ) > 0:
			A             =					full_error_msg + begin_error_msg + str(UpperCamelCase__    )
		raise ValueError(UpperCamelCase__    )
	benchmark.run()


if __name__ == "__main__":
				main()



