






def      lowerCAmelCase__	(    _a       :			int = 1_00    ):
		snake_case_				:							Tuple						 =       set()

		snake_case_				:							Union[str, Any]						 =       0

		snake_case_				:							Union[str, Any]						 =       n + 1  # maximum limit

		for a in range(2  ,      _a    ):
				for b in range(2  ,      _a    ):
						snake_case_				:							str						 =       a**b  # calculates the current power
						collect_powers.add(_a    )  # adds the result to the set
		return len(_a    )


if __name__ == "__main__":
							print('''Number of terms ''', solution(int(str(input()).strip())))








import fire

from transformers import AutoConfig, AutoModelForSeqaSeqLM, AutoTokenizer

def      lowerCAmelCase__	(    _a       :			str  ,      _a       :			str  ,      **_a       :			Optional[int]    ):
		snake_case_				:							Any						 =       AutoConfig.from_pretrained(_a  ,      **_a    )
		snake_case_				:							str						 =       AutoModelForSeqaSeqLM.from_config(_a    )
		model.save_pretrained(_a    )
		AutoTokenizer.from_pretrained(_a    ).save_pretrained(_a    )
		return model


if __name__ == "__main__":
							fire.Fire(save_randomly_initialized_version)
