






"""simple docstring"""




from argparse import ArgumentParser

from . import BaseTransformersCLICommand

def 			lowerCAmelCase__     (     UpperCamelCase__				):



  '''simple docstring'''
  return DownloadCommand(args.model     ,   args.cache_dir     ,   args.force     ,   args.trust_remote_code				)






class        UpperCamelCase			(	snake_case_      ):


 @staticmethod
 def _lowercase	(     UpperCAmelCase__		:						ArgumentParser							)					->       Optional[Any]:
   _a  :       Optional[Any]             =	parser.add_parser("""download"""							)
   download_parser.add_argument(
       """--cache-dir"""							,						type=UpperCAmelCase__							,						default=UpperCAmelCase__							,						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=UpperCAmelCase__							,						help="""Name of the model to download"""							)
   download_parser.set_defaults(func=UpperCAmelCase__							)


 def __init__(     self		:						Optional[Any]							,						UpperCAmelCase__		:						str							,						UpperCAmelCase__		:						str							,						UpperCAmelCase__		:						bool							,						UpperCAmelCase__		:						bool							)					->       int:
   _a  :       Dict             =	model
   _a  :       Dict             =	cache
   _a  :       Optional[Any]             =	force
   _a  :       List[str]             =	trust_remote_code







 def _lowercase	(     self		:						List[Any]							)					->       List[str]:
   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 warnings

from ...utils import logging
from .image_processing_clip import CLIPImageProcessor


_snake_case          =   logging.get_logger(__name__)






class        UpperCamelCase			(	snake_case_      ):


 def __init__(     self		:						Any							,						*UpperCAmelCase__		:						Optional[Any]							,						**UpperCAmelCase__		:						Tuple							)					->       None:
   warnings.warn(
       """The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
       """ use CLIPImageProcessor instead."""							,						UpperCAmelCase__							,						)
   super().__init__(*UpperCAmelCase__							,						**UpperCAmelCase__							)

