test_jaccard_distance_numpy: Check for warning instead of printing it

Author: janezd

Orange/tests/test_distances.py

@@ -4,12 +4,14 @@
 from unittest import TestCase
 from unittest.mock import patch
 import pickle
+from unittest.mock import patch
 
 import numpy as np
 import scipy
 import scipy.spatial
 import scipy.stats
 from scipy.sparse import csr_matrix
+from sklearn.exceptions import DataConversionWarning
 
 from Orange.data import (Table, Domain, ContinuousVariable,
                          DiscreteVariable, StringVariable, Instance)
@@ -499,10 +501,13 @@ def test_jaccard_distance_many_examples(self):
             np.array([[0., 0., 0.5],
                       [0., 0., 0.5]]))
 
-    def test_jaccard_distance_numpy(self):
+    @patch("warnings.warn")
+    def test_jaccard_distance_numpy(self, warn):
         np.testing.assert_almost_equal(
             self.dist(self.titanic[0].x, self.titanic[2].x, axis=1),
             np.array([[0.5]]))
+        self.assertIs(warn.call_args[0][1], DataConversionWarning)
+        warn.assert_called()
         np.testing.assert_almost_equal(
             self.dist(self.titanic.X),
             np.array([[0., 0., 0.5, 0.5],