


"""simple docstring"""






from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments


def __lowercase  (   ):
				SCREAMING_SNAKE_CASE__  				=					HfArgumentParser(_a	)
				try:
								SCREAMING_SNAKE_CASE__  				=					parser.parse_args_into_dataclasses()[0]
				except ValueError as e:
								SCREAMING_SNAKE_CASE__  				=					"""Arg --no_{0} is no longer used, please use --no-{0} instead."""
								SCREAMING_SNAKE_CASE__  				=					""" """.join(str(_a	).split(" "	)[:-1]	)
								SCREAMING_SNAKE_CASE__  				=					""""""
								SCREAMING_SNAKE_CASE__  				=					eval(str(_a	).split(" "	)[-1]	)
								SCREAMING_SNAKE_CASE__  				=					[]
								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:
												SCREAMING_SNAKE_CASE__  				=					full_error_msg + begin_error_msg + str(_a	)
								raise ValueError(_a	)

				SCREAMING_SNAKE_CASE__  				=					PyTorchBenchmark(args=_a	)
				benchmark.run()


if __name__ == "__main__":
	main()







def 				_lowerCAmelCase			(	_a :       str      )						->      int:
     lowerCAmelCase_       :							Dict			 =		0
     for plain_chr in plain_text:
          lowerCAmelCase_       :							List[Any]			 =		(
              ord(_a      ) + (hash_value << 6) + (hash_value << 16) - hash_value
          )
     return hash_value
