






import re
def      lowerCamelCase					(						a_	)	->			Optional[int]:
							def docstring_decorator(a_	):
														lowerCAmelCase_										=     fn.__doc__
														lowerCAmelCase_										=     func_doc.split('\n'	)
														lowerCAmelCase_										=     0
														while i < len(a_	) and re.search(R'^\s*Examples?:\s*$' ,						lines[i]	) is None:
																					i += 1
														if i < len(a_	):
																					lowerCAmelCase_										=     example_docstring
																					lowerCAmelCase_										=     '\n'.join(a_	)
														else:
																					raise ValueError(
																					    F'''The function {fn} should have an empty \'Examples:\' in its docstring as placeholder, '''
																					    F'''current docstring is:\n{func_doc}'''	)
														lowerCAmelCase_										=     func_doc
														return fn

							return docstring_decorator











from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments
def      lowerCamelCase					(						)	->			Union[str, Any]:
							lowerCAmelCase_										=     HfArgumentParser(a_	)
							try:
														lowerCAmelCase_										=     parser.parse_args_into_dataclasses()[0]
							except ValueError as e:
														lowerCAmelCase_										=     'Arg --no_{0} is no longer used, please use --no-{0} instead.'
														lowerCAmelCase_										=     ' '.join(str(a_	).split(' '	)[:-1]	)
														lowerCAmelCase_										=     ''
														lowerCAmelCase_										=     eval(str(a_	).split(' '	)[-1]	)
														lowerCAmelCase_										=     []
														for arg in depreciated_args:
																					# arg[2:] removes '--'
																					if arg[2:] in PyTorchBenchmarkArguments.deprecated_args:
																												# arg[5:] removes '--no_'
																												full_error_msg += arg_error_msg.format(arg[5:]	)
																					else:
																												wrong_args.append(a_	)
														if len(a_	) > 0:
																					lowerCAmelCase_										=     full_error_msg + begin_error_msg + str(a_	)
														raise ValueError(a_	)

							lowerCAmelCase_										=     PyTorchBenchmark(args=a_	)
							benchmark.run()


if __name__ == "__main__":
		main()



