






'''simple docstring'''







from argparse import ArgumentParser

from . import BaseTransformersCLICommand





def 		_UpperCAmelCase   (							__A							:   Tuple      ):
				return DownloadCommand(args.model						,		args.cache_dir						,		args.force						,		args.trust_remote_code      )





class 	SCREAMING_SNAKE_CASE					(					SCREAMING_SNAKE_CASE_       ):






			@staticmethod
			def 			SCREAMING_SNAKE_CASE      ( __SCREAMING_SNAKE_CASE      :			ArgumentParser					)			->			Dict:
							a_		:  List[Any]											=      parser.add_parser('''download'''					)
							download_parser.add_argument(
							    '''--cache-dir'''  ,						type=__SCREAMING_SNAKE_CASE  ,						default=__SCREAMING_SNAKE_CASE  ,						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=__SCREAMING_SNAKE_CASE  ,						help='''Name of the model to download'''					)
							download_parser.set_defaults(func=__SCREAMING_SNAKE_CASE					)






			def __init__( self      :			List[Any]  ,						__SCREAMING_SNAKE_CASE      :			str  ,						__SCREAMING_SNAKE_CASE      :			str  ,						__SCREAMING_SNAKE_CASE      :			bool  ,						__SCREAMING_SNAKE_CASE      :			bool					)			->			Tuple:
							a_		:  int											=      model
							a_		:  Any											=      cache
							a_		:  List[Any]											=      force
							a_		:  Optional[Any]											=      trust_remote_code







			def 			SCREAMING_SNAKE_CASE      ( self      :			List[Any]					)			->			int:
							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'''







import sys

__lowerCAmelCase       		=      (
    '73167176531330624919225119674426574742355349194934'
    '96983520312774506326239578318016984801869478851843'
    '85861560789112949495459501737958331952853208805511'
    '12540698747158523863050715693290963295227443043557'
    '66896648950445244523161731856403098711121722383113'
    '62229893423380308135336276614282806444486645238749'
    '30358907296290491560440772390713810515859307960866'
    '70172427121883998797908792274921901699720888093776'
    '65727333001053367881220235421809751254540594752243'
    '52584907711670556013604839586446706324415722155397'
    '53697817977846174064955149290862569321978468622482'
    '83972241375657056057490261407972968652414535100474'
    '82166370484403199890008895243450658541227588666881'
    '16427171479924442928230863465674813919123162824586'
    '17866458359124566529476545682848912883142607690042'
    '24219022671055626321111109370544217506941658960408'
    '07198403850962455444362981230987879927244284909188'
    '84580156166097919133875499200524063689912560717606'
    '05886116467109405077541002256983155200055935729725'
    '71636269561882670428252483600823257530420752963450'
)





def 		_UpperCAmelCase   (							__A							:   str      ):
				a_		:  Tuple											=      1
				for digit in s:
								product *= int(__A      )
				return product





def 		_UpperCAmelCase   (							__A							:   str = N      ):
				a_		:  Dict											=      -sys.maxsize - 1
				a_		:  Optional[int]											=      n[:13]
				a_		:  str											=      13
				while cur_index < len(__A      ) - 13:
								if int(n[cur_index]      ) >= int(substr[0]      ):
												a_		:  Tuple											=      substr[1:] + n[cur_index]
												cur_index += 1
								else:
												a_		:  Dict											=      max(__A						,		str_eval(__A      )      )
												a_		:  List[str]											=      n[cur_index : cur_index + 13]
												cur_index += 13
				return largest_product


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




