
import pytest

from datasets import inspect_metric, list_metrics, load_metric







@pytest.fixture
def     A__   (  lowerCamelCase  )					->		Optional[Any]:
				monkeypatch.setattr("""datasets.utils.deprecation_utils._emitted_deprecation_warnings"""       ,      set()  )







@pytest.fixture
def     A__   (  lowerCamelCase  )					->		Union[str, Any]:

				class     _UpperCamelCase			:






							'''simple docstring'''

							def __init__(    self	:    Any  ,		snake_case_	:    Union[str, Any] ):
											UpperCamelCase_:							int		=  metric_id




				class     _UpperCamelCase			:






							'''simple docstring'''

							__UpperCamelCase :  int    =	[MetricMock(_A					) for metric_id in ["""accuracy""", """mse""", """precision""", """codeparrot/apps_metric"""]]

							def  lowerCAmelCase__		(    self	:    Optional[Any] ):
											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     A__   (  lowerCamelCase       ,      lowerCamelCase       ,      lowerCamelCase       ,      lowerCamelCase       ,      lowerCamelCase  )					->		Optional[int]:
				if "tmp_path" in args:
								UpperCamelCase_:							Optional[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  )








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


lowerCamelCase_  :	Optional[int] 				=					logging.get_logger(__name__)

lowerCamelCase_  :	Dict 				=					{
    """studio-ousia/luke-base""": """https://huggingface.co/studio-ousia/luke-base/resolve/main/config.json""",
    """studio-ousia/luke-large""": """https://huggingface.co/studio-ousia/luke-large/resolve/main/config.json""",
}

class     _UpperCamelCase			(   _A					):






			'''simple docstring'''

			__UpperCamelCase :  Optional[int]    =	"""luke"""

			def __init__(    self	:    Tuple  ,		snake_case_	:    List[Any]=5_0267  ,		snake_case_	:    Any=50_0000  ,		snake_case_	:    str=768  ,		snake_case_	:    int=256  ,		snake_case_	:    str=12  ,		snake_case_	:    int=12  ,		snake_case_	:    Dict=3072  ,		snake_case_	:    Optional[Any]="gelu"  ,		snake_case_	:    Dict=0.1  ,		snake_case_	:    List[str]=0.1  ,		snake_case_	:    int=512  ,		snake_case_	:    Dict=2  ,		snake_case_	:    List[Any]=0.02  ,		snake_case_	:    int=1e-12  ,		snake_case_	:    Union[str, Any]=True  ,		snake_case_	:    Union[str, Any]=None  ,		snake_case_	:    Dict=1  ,		snake_case_	:    Optional[int]=0  ,		snake_case_	:    List[str]=2  ,		**snake_case_	:    Union[str, Any]  ,		):
							super().__init__(pad_token_id=snake_case_  ,		bos_token_id=snake_case_  ,		eos_token_id=snake_case_  ,		**snake_case_ )

							UpperCamelCase_:							Dict		=  vocab_size
							UpperCamelCase_:							Tuple		=  entity_vocab_size
							UpperCamelCase_:							Optional[int]		=  hidden_size
							UpperCamelCase_:							Any		=  entity_emb_size
							UpperCamelCase_:							str		=  num_hidden_layers
							UpperCamelCase_:							Union[str, Any]		=  num_attention_heads
							UpperCamelCase_:							Dict		=  hidden_act
							UpperCamelCase_:							Dict		=  intermediate_size
							UpperCamelCase_:							str		=  hidden_dropout_prob
							UpperCamelCase_:							List[str]		=  attention_probs_dropout_prob
							UpperCamelCase_:							int		=  max_position_embeddings
							UpperCamelCase_:							int		=  type_vocab_size
							UpperCamelCase_:							List[Any]		=  initializer_range
							UpperCamelCase_:							Union[str, Any]		=  layer_norm_eps
							UpperCamelCase_:							Tuple		=  use_entity_aware_attention
							UpperCamelCase_:							int		=  classifier_dropout






