





from ... import PretrainedConfig


SCREAMING_SNAKE_CASE_		     = {
    """sijunhe/nezha-cn-base""": """https://huggingface.co/sijunhe/nezha-cn-base/resolve/main/config.json""",
}

class 	UpperCamelCase__				(   lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			Union[str, Any]				=    NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP
     __snake_case					:			Optional[int]				=    "nezha"






     def __init__(							self		:					Optional[int]		,lowerCamelCase__		:					Any=21128		,lowerCamelCase__		:					Optional[Any]=768		,lowerCamelCase__		:					List[str]=12		,lowerCamelCase__		:					Optional[Any]=12		,lowerCamelCase__		:					int=3072		,lowerCamelCase__		:					int="gelu"		,lowerCamelCase__		:					Any=0.1		,lowerCamelCase__		:					str=0.1		,lowerCamelCase__		:					List[str]=512		,lowerCamelCase__		:					str=64		,lowerCamelCase__		:					Tuple=2		,lowerCamelCase__		:					Optional[Any]=0.02		,lowerCamelCase__		:					List[Any]=1e-1_2		,lowerCamelCase__		:					Any=0.1		,lowerCamelCase__		:					str=0		,lowerCamelCase__		:					List[Any]=2		,lowerCamelCase__		:					Any=3		,lowerCamelCase__		:					str=True		,**lowerCamelCase__		:					List[Any]		,)  ->	Optional[int]:




           '''simple docstring'''


           super().__init__(pad_token_id=lowerCamelCase__		,bos_token_id=lowerCamelCase__		,eos_token_id=lowerCamelCase__		,**lowerCamelCase__ )

           SCREAMING_SNAKE_CASE	=		vocab_size
           SCREAMING_SNAKE_CASE	=		hidden_size
           SCREAMING_SNAKE_CASE	=		num_hidden_layers
           SCREAMING_SNAKE_CASE	=		num_attention_heads
           SCREAMING_SNAKE_CASE	=		hidden_act
           SCREAMING_SNAKE_CASE	=		intermediate_size
           SCREAMING_SNAKE_CASE	=		hidden_dropout_prob
           SCREAMING_SNAKE_CASE	=		attention_probs_dropout_prob
           SCREAMING_SNAKE_CASE	=		max_position_embeddings
           SCREAMING_SNAKE_CASE	=		max_relative_position
           SCREAMING_SNAKE_CASE	=		type_vocab_size
           SCREAMING_SNAKE_CASE	=		initializer_range
           SCREAMING_SNAKE_CASE	=		layer_norm_eps
           SCREAMING_SNAKE_CASE	=		classifier_dropout
           SCREAMING_SNAKE_CASE	=		use_cache









import pytest

from datasets import inspect_metric, list_metrics, load_metric



@pytest.fixture
def      __lowercase     (   _SCREAMING_SNAKE_CASE			)				->     List[Any]:


      '''simple docstring'''


      monkeypatch.setattr("""datasets.utils.deprecation_utils._emitted_deprecation_warnings"""				,		set()			)



@pytest.fixture
def      __lowercase     (   _SCREAMING_SNAKE_CASE			)				->     Dict:


      '''simple docstring'''


      class 	UpperCamelCase__				:



           '''simple docstring'''

           def __init__(							self		:					int		,lowerCamelCase__		:					Dict )  ->	List[Any]:




                 '''simple docstring'''


                 SCREAMING_SNAKE_CASE	=		metric_id

      class 	UpperCamelCase__				:



           '''simple docstring'''

           __snake_case					:			List[str]				=    [MetricMock(lowerCAmelCase_     ) for metric_id in ["accuracy", "mse", "precision", "codeparrot/apps_metric"]]






           def        SCREAMING_SNAKE_CASE__						(							self		:					Optional[int] )  ->	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      __lowercase     (   _SCREAMING_SNAKE_CASE				,		_SCREAMING_SNAKE_CASE				,		_SCREAMING_SNAKE_CASE				,		_SCREAMING_SNAKE_CASE				,		_SCREAMING_SNAKE_CASE			)				->     Union[str, Any]:


      '''simple docstring'''


      if "tmp_path" in args:
            SCREAMING_SNAKE_CASE	=		tuple(arg if arg != """tmp_path""" else tmp_path for arg in args			)
      with pytest.warns(_SCREAMING_SNAKE_CASE				,		match="""https://huggingface.co/docs/evaluate"""			):
            func(*_SCREAMING_SNAKE_CASE			)


