





"""simple docstring"""



import fire

from transformers import AutoConfig, AutoModelForSeqaSeqLM, AutoTokenizer







def 						__lowercase	(  snake_case_    :    str							,snake_case_    :    str							,**snake_case_    :    Any		)  ->Union[str, Any]:



    '''simple docstring'''







    __A       :		List[str]							=	AutoConfig.from_pretrained(snake_case_							,**snake_case_		)
    __A       :		Union[str, Any]							=	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)











"""simple docstring"""



def 						__lowercase	(  snake_case_    :    list		)  ->float:



    '''simple docstring'''







    __A       :		Tuple							=	0
    while len(snake_case_		) > 1:
        __A       :		List[Any]							=	0
        # Consider two files with minimum cost to be merged
        for _ in range(2		):
            __A       :		Dict							=	files.index(min(snake_case_		)		)
            temp += files[min_index]
            files.pop(snake_case_		)
        files.append(snake_case_		)
        optimal_merge_cost += temp
    return optimal_merge_cost


if __name__ == "__main__":
       import doctest

       doctest.testmod()




