
import fire

from transformers import AutoConfig, AutoModelForSeqaSeqLM, AutoTokenizer




def  __magic_name__ (   __lowerCAmelCase	:						str		,  __lowerCAmelCase	:						str		,  **__lowerCAmelCase	:						Union[str, Any]							)			->   Optional[int]:
				__lowerCamelCase    					=	AutoConfig.from_pretrained(__lowerCAmelCase		,  **__lowerCAmelCase							)
				__lowerCamelCase    					=	AutoModelForSeqaSeqLM.from_config(__lowerCAmelCase							)
				model.save_pretrained(__lowerCAmelCase							)
				AutoTokenizer.from_pretrained(__lowerCAmelCase							).save_pretrained(__lowerCAmelCase							)
				return model


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





import os




def  __magic_name__ (   )			->   str:
				__lowerCamelCase    					=	os.path.join(os.path.dirname(__lowerCAmelCase							)		,  '''num.txt'''							)
				with open(__lowerCAmelCase							) as file_hand:
								return str(sum(int(__lowerCAmelCase							) for line in file_hand							)							)[:10]


if __name__ == "__main__":
					print(solution())



