add test

glemaitre · glemaitre · commit 89841a74986d · 2022-08-05T14:58:55.000+02:00
diff --git a/sklearn/tests/test_common.py b/sklearn/tests/test_common.py
@@ -460,3 +460,44 @@ def test_estimators_do_not_raise_errors_in_init_or_set_params(Estimator):
 
         # Also do does not raise
         est.set_params(**new_params)
+
+
+# TODO: remove this filter in 1.2
+@pytest.mark.filterwarnings("ignore::FutureWarning:sklearn")
+@pytest.mark.parametrize(
+    "Estimator",
+    [
+        AffinityPropagation,
+        Birch,
+        MeanShift,
+        KNeighborsClassifier,
+        KNeighborsRegressor,
+        RadiusNeighborsClassifier,
+        RadiusNeighborsRegressor,
+        LabelPropagation,
+        LabelSpreading,
+        OPTICS,
+        SpectralClustering,
+        LocalOutlierFactor,
+        LocallyLinearEmbedding,
+        Isomap,
+        TSNE,
+    ],
+)
+def test_f_contiguous_array_estimator(Estimator):
+    # Non-regression test for:
+    # https://github.com/scikit-learn/scikit-learn/issues/23988
+    # https://github.com/scikit-learn/scikit-learn/issues/24013
+
+    X, _ = make_blobs(n_samples=80, n_features=4, random_state=0)
+    X = np.asfortranarray(X)
+    y = np.round(X[:, 0])
+
+    est = Estimator()
+    est.fit(X, y)
+
+    if hasattr(est, "transform"):
+        est.transform(X)
+
+    if hasattr(est, "predict"):
+        est.predict(X)
