




from argparse import ArgumentParser

from . import BaseTransformersCLICommand

def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       List[Any]     ):


      '''simple docstring'''



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







class   A(						__SCREAMING_SNAKE_CASE   ):



 '''simple docstring'''


 @staticmethod
 def 				a__ (				A_					:  Any  )   ->	Tuple:

       """simple docstring"""






       lowerCamelCase_		     =    parser.add_parser('download'  )
       download_parser.add_argument(
           '--cache-dir'						,							type=_a						,							default=_a						,							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=_a						,							help='Name of the model to download'  )
       download_parser.set_defaults(func=_a  )

 def __init__(				self					:  Optional[int]						,							A_					:  Union[str, Any]						,							A_					:  str						,							A_					:  List[Any]						,							A_					:  List[str]  )   ->	Dict:

       """simple docstring"""






       lowerCamelCase_		     =    model
       lowerCamelCase_		     =    cache
       lowerCamelCase_		     =    force
       lowerCamelCase_		     =    trust_remote_code





 def 				a__ (				self					:  Dict  )   ->	str:

       """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							(		lowerCAmelCase__ :     int			) ->      str:
		if number > 0:
				raise ValueError('''input must be a negative integer'''			)
		__a           =			len(bin(lowerCAmelCase__			)[3:]			)
		__a           =			bin(abs(lowerCAmelCase__			) - (1 << binary_number_length)			)[3:]
		__a           =			(
		    (
		        '''1'''
		        + '''0''' * (binary_number_length - len(lowerCAmelCase__			))
		        + twos_complement_number
		    )
		    if number < 0
		    else '''0'''
		)
		return "0b" + twos_complement_number


if __name__ == "__main__":
				import doctest

				doctest.testmod()






