





'''simple docstring'''


import pytest

from datasets import inspect_metric, list_metrics, load_metric
@pytest.fixture
def 							UpperCAmelCase_  (						__lowerCamelCase					:					List[str] ):
   monkeypatch.setattr("datasets.utils.deprecation_utils._emitted_deprecation_warnings"	,set() )
@pytest.fixture
def 							UpperCAmelCase_  (						__lowerCamelCase					:					Any ):
   class       a_   :





        def __init__( self		:					int	,      lowercase		:					int						):





           """simple docstring"""




           lowercase_			:Optional[Any]    			= metric_id







   class       a_   :
        __A      =			[MetricMock(_lowerCAmelCase							) for metric_id in ["accuracy", "mse", "precision", "codeparrot/apps_metric"]]





        def 							lowercase__      ( self		:					Union[str, Any]						):





           """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					:					Union[str, Any]	,__lowerCamelCase					:					int	,__lowerCamelCase					:					Optional[int]	,__lowerCamelCase					:					Union[str, Any]	,__lowerCamelCase					:					Tuple ):
   if "tmp_path" in args:
      lowercase_			:Union[str, Any]    			= 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 )









'''simple docstring'''


from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase					:     Optional[Any]												=logging.get_logger(__name__)

lowerCAmelCase					:     Tuple												={
    '''facebook/vit-mae-base''': '''https://huggingface.co/facebook/vit-mae-base/resolve/main/config.json''',
    # See all ViT MAE models at https://huggingface.co/models?filter=vit-mae
}
class       a_   (				_lowerCAmelCase							):
     __A      =			"vit_mae"





     def __init__( self		:					Any	,      lowercase		:					int=768	,      lowercase		:					Tuple=12	,      lowercase		:					str=12	,      lowercase		:					Optional[Any]=3_072	,      lowercase		:					List[Any]="gelu"	,      lowercase		:					Tuple=0.0	,      lowercase		:					Union[str, Any]=0.0	,      lowercase		:					str=0.02	,      lowercase		:					Optional[int]=1e-1_2	,      lowercase		:					List[Any]=224	,      lowercase		:					str=16	,      lowercase		:					List[str]=3	,      lowercase		:					Optional[Any]=True	,      lowercase		:					int=16	,      lowercase		:					Optional[Any]=512	,      lowercase		:					Optional[Any]=8	,      lowercase		:					Optional[Any]=2_048	,      lowercase		:					List[str]=0.75	,      lowercase		:					str=False	,      **lowercase		:					Union[str, Any]	,      ):





        """simple docstring"""




        super().__init__(**lowercase						)

        lowercase_			:Any    			= hidden_size
        lowercase_			:Optional[Any]    			= num_hidden_layers
        lowercase_			:Optional[Any]    			= num_attention_heads
        lowercase_			:int    			= intermediate_size
        lowercase_			:Optional[int]    			= hidden_act
        lowercase_			:str    			= hidden_dropout_prob
        lowercase_			:Optional[Any]    			= attention_probs_dropout_prob
        lowercase_			:str    			= initializer_range
        lowercase_			:Optional[int]    			= layer_norm_eps
        lowercase_			:str    			= image_size
        lowercase_			:Union[str, Any]    			= patch_size
        lowercase_			:Dict    			= num_channels
        lowercase_			:Any    			= qkv_bias
        lowercase_			:Optional[int]    			= decoder_num_attention_heads
        lowercase_			:Optional[Any]    			= decoder_hidden_size
        lowercase_			:Union[str, Any]    			= decoder_num_hidden_layers
        lowercase_			:List[Any]    			= decoder_intermediate_size
        lowercase_			:Optional[Any]    			= mask_ratio
        lowercase_			:Optional[Any]    			= norm_pix_loss


