TST: fix test that fails weirdly when executing the whole test file a…

…nd not just the test

test/metric_learn_test.py

@@ -285,26 +285,6 @@ def test_deprecation_num_labeled(self):
            'removed in 0.6.0')
     assert_warns_message(DeprecationWarning, msg, sdml_supervised.fit, X, y)
 
-  def test_sdml_raises_warning_non_psd(self):
-    """Tests that SDML raises a warning on a toy example where we know the
-    pseudo-covariance matrix is not PSD"""
-    pairs = np.array([[[-10., 0.], [10., 0.]], [[0., 50.], [0., -60]]])
-    y = [1, -1]
-    sdml = SDML(use_cov=True, sparsity_param=0.01, balance_param=0.5)
-    msg = ("Warning, the input matrix of graphical lasso is not "
-           "positive semi-definite (PSD). The algorithm may diverge, "
-           "and lead to degenerate solutions. "
-           "To prevent that, try to decrease the balance parameter "
-           "`balance_param` and/or to set use_covariance=False.")
-    with pytest.warns(ConvergenceWarning) as raised_warning:
-      try:
-        sdml.fit(pairs, y)
-      except Exception:
-        pass
-    # we assert that this warning is in one of the warning raised by the
-    # estimator
-    assert msg in list(map(lambda w: str(w.message), raised_warning))
-
   def test_sdml_converges_if_psd(self):
     """Tests that sdml converges on a simple problem where we know the
     pseudo-covariance matrix is PSD"""
@@ -385,6 +365,27 @@ def test_verbose_has_not_installed_skggm_sdml_supervised(capsys):
   assert "SDML will use scikit-learn's graphical lasso solver." in out
 
 
+def test_sdml_raises_warning_non_psd():
+    """Tests that SDML raises a warning on a toy example where we know the
+    pseudo-covariance matrix is not PSD"""
+    pairs = np.array([[[-10., 0.], [10., 0.]], [[0., 50.], [0., -60]]])
+    y = [1, -1]
+    sdml = SDML(use_cov=True, sparsity_param=0.01, balance_param=0.5)
+    msg = ("Warning, the input matrix of graphical lasso is not "
+           "positive semi-definite (PSD). The algorithm may diverge, "
+           "and lead to degenerate solutions. "
+           "To prevent that, try to decrease the balance parameter "
+           "`balance_param` and/or to set use_covariance=False.")
+    with pytest.warns(ConvergenceWarning) as raised_warning:
+      try:
+        sdml.fit(pairs, y)
+      except Exception:
+        pass
+    # we assert that this warning is in one of the warning raised by the
+    # estimator
+    assert msg in list(map(lambda w: str(w.message), raised_warning))
+
+
 class TestNCA(MetricTestCase):
   def test_iris(self):
     n = self.iris_points.shape[0]