#!/usr/bin/env python
#===============================================================================
# Copyright 2021 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#===============================================================================

import numpy as np
from numpy.testing import assert_allclose
from sklearn.datasets import load_breast_cancer


def test_sklearnex_import_roc_auc():
    from sklearnex.metrics import roc_auc_score
    from sklearnex.linear_model import LogisticRegression
    X, y = load_breast_cancer(return_X_y=True)
    clf = LogisticRegression(solver='liblinear', random_state=0).fit(X, y)
    res = roc_auc_score(y, clf.decision_function(X))
    assert_allclose(res, 0.99, atol=1e-2)


def test_sklearnex_import_pairwise_distances():
    from sklearnex.metrics import pairwise_distances
    rng = np.random.RandomState(0)
    x = np.abs(rng.rand(4), dtype=np.float64)
    x = np.vstack([x, x])
    res = pairwise_distances(x, metric='cosine')
    assert_allclose(res, [[0., 0.], [0., 0.]], atol=1e-2)