

import fire

from transformers import AutoConfig, AutoModelForSeqaSeqLM, AutoTokenizer


def 					_UpperCAmelCase       (  _SCREAMING_SNAKE_CASE					:		str ,   _SCREAMING_SNAKE_CASE					:		str ,   **_SCREAMING_SNAKE_CASE					:		int       )     ->   Dict:





    """simple docstring"""


    SCREAMING_SNAKE_CASE_									=						AutoConfig.from_pretrained(_SCREAMING_SNAKE_CASE ,   **_SCREAMING_SNAKE_CASE       )
    SCREAMING_SNAKE_CASE_									=						AutoModelForSeqaSeqLM.from_config(_SCREAMING_SNAKE_CASE       )
    model.save_pretrained(_SCREAMING_SNAKE_CASE       )
    AutoTokenizer.from_pretrained(_SCREAMING_SNAKE_CASE       ).save_pretrained(_SCREAMING_SNAKE_CASE       )
    return model


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





def 					_UpperCAmelCase       (  _SCREAMING_SNAKE_CASE					:		int = 200       ):





    """simple docstring"""


    SCREAMING_SNAKE_CASE_									=						[1, 2, 5, 10, 20, 50, 100, 200]
    SCREAMING_SNAKE_CASE_									=						[0] * (pence + 1)
    SCREAMING_SNAKE_CASE_									=						1  # base case: 1 way to make 0 pence

    for coin in coins:
        for i in range(_SCREAMING_SNAKE_CASE ,   pence + 1 ,   1       ):
            number_of_ways[i] += number_of_ways[i - coin]
    return number_of_ways[pence]


if __name__ == "__main__":
       assert solution(200) == 73_682


