

import pytest

from datasets import inspect_metric, list_metrics, load_metric
@pytest.fixture
def 							__SCREAMING_SNAKE_CASE     (   a__    :   Optional[int]       )					->				int:
	monkeypatch.setattr("""datasets.utils.deprecation_utils._emitted_deprecation_warnings"""			,set()       )
@pytest.fixture
def 							__SCREAMING_SNAKE_CASE     (   a__    :   Optional[Any]       )					->				List[Any]:






	class      lowerCamelCase_      :




		def __init__(     self						:     Any					,      __A						:     Dict							):
			__A :			int		    =			metric_id






	class      lowerCamelCase_      :
		_lowercase		:   int     					=				[MetricMock(_lowercase	) for metric_id in ['''accuracy''', '''mse''', '''precision''', '''codeparrot/apps_metric''']]




		def        lowerCAmelCase_       (     self						:     str							):
			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 							__SCREAMING_SNAKE_CASE     (   a__    :   int			,a__    :   List[str]			,a__    :   str			,a__    :   Optional[Any]			,a__    :   List[Any]       )					->				Optional[Any]:
	if "tmp_path" in args:
		__A :			List[str]		    =			tuple(arg if arg != """tmp_path""" else tmp_path for arg in args       )
	with pytest.warns(a__			,match="""https://huggingface.co/docs/evaluate"""       ):
		func(*a__       )








def 							__SCREAMING_SNAKE_CASE     (   a__    :   int       )					->				int:
	if not isinstance(a__			,a__       ):
		raise TypeError("""Input value must be an 'int' type"""       )

	__A :			Union[str, Any]		    =			0
	while number:
		position += 1
		number >>= 1

	return position


if __name__ == "__main__":
			import doctest

			doctest.testmod()





