


'''simple docstring'''
from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments



def 				lowerCAmelCase__	(       ):






       """simple docstring"""





       snake_case__					:	str          =					HfArgumentParser(UpperCAmelCase     )
       try:
              snake_case__					:	Any          =					parser.parse_args_into_dataclasses()[0]
       except ValueError as e:
              snake_case__					:	Optional[Any]          =					'Arg --no_{0} is no longer used, please use --no-{0} instead.'
              snake_case__					:	Union[str, Any]          =					' '.join(str(UpperCAmelCase     ).split(""" """     )[:-1]     )
              snake_case__					:	List[str]          =					''
              snake_case__					:	List[str]          =					eval(str(UpperCAmelCase     ).split(""" """     )[-1]     )
              snake_case__					:	List[Any]          =					[]
              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(UpperCAmelCase     )
              if len(UpperCAmelCase     ) > 0:
                     snake_case__					:	Union[str, Any]          =					full_error_msg + begin_error_msg + str(UpperCAmelCase     )
              raise ValueError(UpperCAmelCase     )

       snake_case__					:	Tuple          =					PyTorchBenchmark(args=UpperCAmelCase     )
       benchmark.run()


if __name__ == "__main__":
     main()








from typing import Callable




def   snake_case_	(    snake_case	)    ->							Tuple:

       def wrapper(snake_case	):
              lowercase__:  Tuple         =  function_with_docstring.__doc__
              return target_function

       return wrapper


