


def     UpperCAmelCase_						(						_UpperCAmelCase       :List[str] = 1000							)  ->							List[str]:
     '''simple docstring'''


     A_					      =					0
     A_					      =					0
     while 1:
          num += 3
          if num >= n:
               break
          total += num
          num += 2
          if num >= n:
               break
          total += num
          num += 1
          if num >= n:
               break
          total += num
          num += 3
          if num >= n:
               break
          total += num
          num += 1
          if num >= n:
               break
          total += num
          num += 2
          if num >= n:
               break
          total += num
          num += 3
          if num >= n:
               break
          total += num
     return total


if __name__ == "__main__":
      print(f'''{solution() = }''')










from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments

def     UpperCAmelCase_						(						)  ->							Optional[int]:
     '''simple docstring'''


     A_					      =					HfArgumentParser(_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 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:
               A_					      =					full_error_msg + begin_error_msg + str(_UpperCAmelCase							)
          raise ValueError(_UpperCAmelCase							)

     A_					      =					PyTorchBenchmark(args=_UpperCAmelCase							)
     benchmark.run()


if __name__ == "__main__":
      main()



