



'''simple docstring'''
import pytest

from datasets import inspect_metric, list_metrics, load_metric






@pytest.fixture
def A__   (					UpperCAmelCase_							):
						monkeypatch.setattr('datasets.utils.deprecation_utils._emitted_deprecation_warnings'  ,  set()							)






@pytest.fixture
def A__   (					UpperCAmelCase_							):






						class 							lowercase__     :





							def __init__(			self :    Any			,lowerCamelCase__ :    Any			):







													'''simple docstring'''
													_UpperCamelCase :		int			    =       metric_id






						class 							lowercase__     :
							lowercase__      =      [MetricMock(__a       ) for metric_id in ["""accuracy""", """mse""", """precision""", """codeparrot/apps_metric"""]]





							def      UpperCamelCase_  (			self :    int			):







													'''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 A__   (					UpperCAmelCase_  ,  UpperCAmelCase_  ,  UpperCAmelCase_  ,  UpperCAmelCase_  ,  UpperCAmelCase_							):
						if "tmp_path" in args:
												_UpperCamelCase :		List[Any]			    =       tuple(arg if arg != 'tmp_path' else tmp_path for arg in args							)
						with pytest.warns(UpperCAmelCase_  ,  match='https://huggingface.co/docs/evaluate'							):
												func(*UpperCAmelCase_							)










'''simple docstring'''
from __future__ import annotations

import numpy as np






def A__   (					UpperCAmelCase_							):
						_UpperCamelCase    ,      _UpperCamelCase :		Optional[int]			    =       np.shape(UpperCAmelCase_							)
						if rows != columns:
												_UpperCamelCase :		Union[str, Any]			    =       (
												    '\'table\' has to be of square shaped array but got a '
												    f'{rows}x{columns} array:\n{table}'
												)
												raise ValueError(UpperCAmelCase_							)

						_UpperCamelCase :		Optional[Any]			    =       np.zeros((rows, columns)							)
						_UpperCamelCase :		Tuple			    =       np.zeros((rows, columns)							)
						for i in range(UpperCAmelCase_							):
												for j in range(UpperCAmelCase_							):
																		_UpperCamelCase :		Optional[Any]			    =       sum(lower[i][k] * upper[k][j] for k in range(UpperCAmelCase_							)							)
																		if upper[j][j] == 0:
																								raise ArithmeticError('No LU decomposition exists'							)
																		_UpperCamelCase :		Optional[Any]			    =       (table[i][j] - total) / upper[j][j]
												_UpperCamelCase :		int			    =       1
												for j in range(UpperCAmelCase_  ,  UpperCAmelCase_							):
																		_UpperCamelCase :		Optional[int]			    =       sum(lower[i][k] * upper[k][j] for k in range(UpperCAmelCase_							)							)
																		_UpperCamelCase :		Tuple			    =       table[i][j] - total
						return lower, upper


if __name__ == "__main__":
					import doctest

					doctest.testmod()


