
from argparse import ArgumentParser

from . import BaseTransformersCLICommand





def 						SCREAMING_SNAKE_CASE__     (   __lowerCAmelCase				):
    return DownloadCommand(args.model     ,		args.cache_dir     ,		args.force     ,		args.trust_remote_code				)





class        _SCREAMING_SNAKE_CASE	(   __UpperCamelCase			):
      @staticmethod
      def A_      (      lowerCamelCase			):
          snake_case__    =					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			):
          snake_case__    =					model
          snake_case__    =					cache
          snake_case__    =					force
          snake_case__    =					trust_remote_code



      def A_      (      self			):
          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			)





from math import loga





def 						SCREAMING_SNAKE_CASE__     (   __lowerCAmelCase				):
    if a < 0:
        raise ValueError("Input value must be a positive integer"				)
    elif isinstance(__lowerCAmelCase     ,		__lowerCAmelCase				):
        raise TypeError("Input value must be a 'int' type"				)
    return 0 if (a == 0) else int(loga(a & -a				)				)


if __name__ == "__main__":
     import doctest

     doctest.testmod()



