





import math
from decimal import Decimal, getcontext

def     UpperCAmelCase_						(						_UpperCAmelCase       :int = 4000000							)  ->							int:
     '''simple docstring'''


     try:
          A_					      =					int(_UpperCAmelCase							)
     except (TypeError, ValueError):
          raise TypeError('''Parameter n must be int or castable to int.'''							)
     if n <= 0:
          raise ValueError('''Parameter n must be greater than or equal to one.'''							)
     A_					      =					100
     A_					      =					(Decimal(5							) ** Decimal(0.5							) + 1) / Decimal(2							)

     A_					      =					(math.floor(math.log(n * (phi + 2)     ,	_UpperCAmelCase							) - 1							) // 3) * 3 + 2
     A_					      =					Decimal(round(phi ** Decimal(index + 1							)							)							) / (phi + 2)
     A_					      =					num // 2
     return int(_UpperCAmelCase							)


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()



