
def 	A_ (							snake_case							:   int = 100 )      ->    int:



						'''simple docstring'''

						__UpperCamelCase       =			(n * (n + 1) // 2) ** 2
						__UpperCamelCase       =			n * (n + 1) * (2 * n + 1) // 6
						return sum_cubes - sum_squares


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






import fire

from transformers import AutoConfig, AutoModelForSeqaSeqLM, AutoTokenizer




def 	A_ (							snake_case							:   str ,      snake_case							:   str ,      **snake_case							:   List[str] )      ->    Dict:



						'''simple docstring'''

						__UpperCamelCase       =			AutoConfig.from_pretrained(snake_case ,      **snake_case )
						__UpperCamelCase       =			AutoModelForSeqaSeqLM.from_config(snake_case )
						model.save_pretrained(snake_case )
						AutoTokenizer.from_pretrained(snake_case ).save_pretrained(snake_case )
						return model


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




