





import math

def      UpperCAmelCase_    (    _UpperCAmelCase							:int				)	->				int:
     '''simple docstring'''


     if not isinstance(_UpperCAmelCase  ,						_UpperCAmelCase				):
          A_          =       f'Input value of [number={number}] must be an integer'
          raise TypeError(_UpperCAmelCase				)

     if number < 1:
          A_          =       f'Input value of [number={number}] must be > 0'
          raise ValueError(_UpperCAmelCase				)
     elif number == 1:
          return 3
     elif number == 2:
          return 5
     else:
          A_          =       int(math.log(number // 3  ,						2				)				) + 2

          A_          =       [3, 5]
          A_          =       2
          A_          =       3
          for block in range(1  ,						_UpperCAmelCase				):
               for _ in range(_UpperCAmelCase				):
                    proth_list.append(2 ** (block + 1) + proth_list[proth_index - 1]				)
                    proth_index += 1
               increment *= 2

     return proth_list[number - 1]


if __name__ == "__main__":
      import doctest

      doctest.testmod()

      for number in range(11):
            a__      :     Optional[Any]         =		0
            try:
                  a__      :     Union[str, Any]         =		proth(number)
            except ValueError:
                  print(f'''ValueError: there is no {number}th Proth number''')
                  continue

            print(f'''The {number}th Proth number: {value}''')










from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments

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


     A_          =       HfArgumentParser(_UpperCAmelCase				)
     A_          =       parser.parse_args_into_dataclasses()[0]
     A_          =       TensorFlowBenchmark(args=_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 TensorFlowBenchmark.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				)
     benchmark.run()


if __name__ == "__main__":
      main()



