

'''simple docstring'''




def 						UpperCamelCase       ( a = 1000 )      ->	int:






     '''simple docstring'''
     __magic_name__						   =				0
     __magic_name__						   =				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      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()



