From c0d9e32c859af62264be58b5ae8e5af0f132fd8a Mon Sep 17 00:00:00 2001 From: OmarManzoor Date: Fri, 7 Oct 2022 15:08:42 +0500 Subject: [PATCH] TST use global_random_seed in sklearn/cluster/tests/test_dbscan.py --- sklearn/cluster/tests/test_dbscan.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/sklearn/cluster/tests/test_dbscan.py b/sklearn/cluster/tests/test_dbscan.py index 43ec7d1f470ee..f36eb19caeb0f 100644 --- a/sklearn/cluster/tests/test_dbscan.py +++ b/sklearn/cluster/tests/test_dbscan.py @@ -286,7 +286,7 @@ def test_boundaries(): assert 0 not in core -def test_weighted_dbscan(): +def test_weighted_dbscan(global_random_seed): # ensure sample_weight is validated with pytest.raises(ValueError): dbscan([[0], [1]], sample_weight=[2]) @@ -320,7 +320,7 @@ def test_weighted_dbscan(): ) # for non-negative sample_weight, cores should be identical to repetition - rng = np.random.RandomState(42) + rng = np.random.RandomState(global_random_seed) sample_weight = rng.randint(0, 5, X.shape[0]) core1, label1 = dbscan(X, sample_weight=sample_weight) assert len(label1) == len(X)