TST use global_random_seed in sklearn/cluster/tests/test_dbscan.py (#24598)

OmarManzoor · web-flow · commit 625650fa69c3 · 2022-10-17T19:36:59.000+02:00
diff --git 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)
