





"""simple docstring"""



from argparse import ArgumentParser

from . import BaseTransformersCLICommand







def 						__lowercase	(  snake_case_    :    List[Any]		)  ->List[Any]:



    '''simple docstring'''







    return DownloadCommand(args.model							,args.cache_dir							,args.force							,args.trust_remote_code		)






class 						__snake_case   (						SCREAMING_SNAKE_CASE__	):





 """simple docstring"""


 @staticmethod
 def    UpperCamelCase__(       __lowerCamelCase    ):



     '''simple docstring'''




     __A       :		Union[str, Any]							=	parser.add_parser('''download'''    )
     download_parser.add_argument(
         '''--cache-dir'''   ,		type=__lowerCamelCase   ,		default=__lowerCamelCase   ,		help='''Path to location to store the models'''    )
     download_parser.add_argument(
         '''--force'''   ,		action='''store_true'''   ,		help='''Force the model to be download even if already in cache-dir'''    )
     download_parser.add_argument(
         '''--trust-remote-code'''   ,		action='''store_true'''   ,		help='''Whether or not to allow for custom models defined on the Hub in their own modeling files. Use only if you\'ve reviewed the code as it will execute on your local machine'''   ,		)
     download_parser.add_argument('''model'''   ,		type=__lowerCamelCase   ,		help='''Name of the model to download'''    )
     download_parser.set_defaults(func=__lowerCamelCase    )

 def __init__(       self   ,		__lowerCamelCase   ,		__lowerCamelCase   ,		__lowerCamelCase   ,		__lowerCamelCase    ):



     '''simple docstring'''




     __A       :		Any							=	model
     __A       :		Any							=	cache
     __A       :		Any							=	force
     __A       :		Tuple							=	trust_remote_code







 def    UpperCamelCase__(       self    ):



     '''simple docstring'''




     from ..models.auto import AutoModel, AutoTokenizer

     AutoModel.from_pretrained(
         self._model   ,		cache_dir=self._cache   ,		force_download=self._force   ,		trust_remote_code=self._trust_remote_code    )
     AutoTokenizer.from_pretrained(
         self._model   ,		cache_dir=self._cache   ,		force_download=self._force   ,		trust_remote_code=self._trust_remote_code    )











"""simple docstring"""



def 						__lowercase	(  snake_case_    :    int = 2000000		)  ->int:



    '''simple docstring'''







    __A       :		List[Any]							=	[0 for i in range(n + 1		)]
    __A       :		str							=	1
    __A       :		Dict							=	1

    for i in range(2							,int(n**0.5		) + 1		):
        if primality_list[i] == 0:
            for j in range(i * i							,n + 1							,snake_case_		):
                __A       :		List[Any]							=	1
    __A       :		Union[str, Any]							=	0
    for i in range(snake_case_		):
        if primality_list[i] == 0:
            sum_of_primes += i
    return sum_of_primes


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




