"""simple docstring"""




from argparse import ArgumentParser

from . import BaseTransformersCLICommand





def 							SCREAMING_SNAKE_CASE     (			_lowerCamelCase						:       Optional[Any]	)       ->      int:
  return DownloadCommand(args.model			,args.cache_dir			,args.force			,args.trust_remote_code	)






class 						__A							( SCREAMING_SNAKE_CASE_		):






     @staticmethod
     def     __A  (		a__  ):
       _lowerCAmelCase						:       Optional[int]  			=     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				,     a__				,     a__				,     a__				,     a__  ):
       _lowerCAmelCase						:       str  			=     model
       _lowerCAmelCase						:       List[Any]  			=     cache
       _lowerCAmelCase						:       Tuple  			=     force
       _lowerCAmelCase						:       List[Any]  			=     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  )






import pytest

from datasets import inspect_metric, list_metrics, load_metric


@pytest.fixture
def 			UpperCamelCase					(    __lowerCamelCase     : Optional[int]    ):
       monkeypatch.setattr("datasets.utils.deprecation_utils._emitted_deprecation_warnings"				,					set()    )


@pytest.fixture
def 			UpperCamelCase					(    __lowerCamelCase     : str    ):






       class   UpperCAmelCase		:



          def __init__(self		:					Optional[int]    ,						snake_case__		:					str )		->	Any:


                 '''simple docstring'''


                 snake_case       :   List[str]							=      metric_id






       class   UpperCAmelCase		:
          A__					:		List[str]						     =     [MetricMock(A_ ) for metric_id in ["accuracy", "mse", "precision", "codeparrot/apps_metric"]]



          def 				_SCREAMING_SNAKE_CASE   (self		:					int )		->	List[str]:


                 '''simple docstring'''


                 return self._metrics



       monkeypatch.setattr("datasets.inspect.huggingface_hub"				,					HfhMock()    )




@pytest.mark.parametrize(
    "func, args"				,					[(load_metric, ("metrics/mse",)), (list_metrics, ()), (inspect_metric, ("metrics/mse", "tmp_path"))]    )
def 			UpperCamelCase					(    __lowerCamelCase     : Optional[int]				,					__lowerCamelCase     : Any				,					__lowerCamelCase     : Any				,					__lowerCamelCase     : int				,					__lowerCamelCase     : Any    ):
       if "tmp_path" in args:
              snake_case       :   str							=      tuple(arg if arg != "tmp_path" else tmp_path for arg in args    )
       with pytest.warns(__lowerCamelCase				,					match="https://huggingface.co/docs/evaluate"    ):
              func(*__lowerCamelCase    )





