

from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments

def    A_  (							):

      """simple docstring"""



      SCREAMING_SNAKE_CASE_				:  Optional[int]           =     HfArgumentParser(a  )
      SCREAMING_SNAKE_CASE_				:  Tuple           =     parser.parse_args_into_dataclasses()[0]
      SCREAMING_SNAKE_CASE_				:  str           =     TensorFlowBenchmark(args=a  )
      try:
            SCREAMING_SNAKE_CASE_				:  int           =     parser.parse_args_into_dataclasses()[0]
      except ValueError as e:
            SCREAMING_SNAKE_CASE_				:  Optional[int]           =     'Arg --no_{0} is no longer used, please use --no-{0} instead.'
            SCREAMING_SNAKE_CASE_				:  Union[str, Any]           =     ' '.join(str(a  ).split(' '  )[:-1]  )
            SCREAMING_SNAKE_CASE_				:  List[Any]           =     ''
            SCREAMING_SNAKE_CASE_				:  Dict           =     eval(str(a  ).split(' '  )[-1]  )
            SCREAMING_SNAKE_CASE_				:  str           =     []
            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(a  )
            if len(a  ) > 0:
                  SCREAMING_SNAKE_CASE_				:  str           =     full_error_msg + begin_error_msg + str(a  )
            raise ValueError(a  )
      benchmark.run()


if __name__ == "__main__":
    main()









from math import pi

def    A_  (							a					,   a  ):

      """simple docstring"""



      return 2 * pi * radius * (angle / 3_6_0)


if __name__ == "__main__":
    print(arc_length(90, 10))






