TST add global_random_seed fixture to sklearn/datasets/tests/test_covtype.py (scikit-learn#25904)

marenwestermann · jeremiedbb · web-flow · commit 01f8d3421aa2 · 2023-03-21T10:45:43.000-04:00
Co-authored-by: Jérémie du Boisberranger &lt;34657725+jeremiedbb@users.noreply.github.com&gt;
Co-authored-by: jeremiedbb &lt;jeremiedbb@yahoo.fr&gt;
diff --git a/sklearn/datasets/tests/test_covtype.py b/sklearn/datasets/tests/test_covtype.py
@@ -6,9 +6,9 @@
 from sklearn.datasets.tests.test_common import check_return_X_y
 
 
-def test_fetch(fetch_covtype_fxt):
-    data1 = fetch_covtype_fxt(shuffle=True, random_state=42)
-    data2 = fetch_covtype_fxt(shuffle=True, random_state=37)
+def test_fetch(fetch_covtype_fxt, global_random_seed):
+    data1 = fetch_covtype_fxt(shuffle=True, random_state=global_random_seed)
+    data2 = fetch_covtype_fxt(shuffle=True, random_state=global_random_seed + 1)
 
     X1, X2 = data1["data"], data2["data"]
     assert (581012, 54) == X1.shape
