TST skip SparsePCA n_jobs!=1 test on Mac OS X because it hangs

Author: kmike

sklearn/decomposition/tests/test_sparse_pca.py

@@ -11,6 +11,7 @@
 from sklearn.utils.testing import SkipTest
 from sklearn.utils.testing import assert_true
 from sklearn.utils.testing import assert_false
+from sklearn.utils.testing import if_not_mac_os
 
 from sklearn.decomposition import SparsePCA, MiniBatchSparsePCA
 from sklearn.utils import check_random_state
@@ -62,18 +63,29 @@ def test_fit_transform():
     spca_lars = SparsePCA(n_components=3, method='lars', alpha=alpha,
                           random_state=0)
     spca_lars.fit(Y)
+
+    # Test that CD gives similar results
+    spca_lasso = SparsePCA(n_components=3, method='cd', random_state=0,
+                           alpha=alpha)
+    spca_lasso.fit(Y)
+    assert_array_almost_equal(spca_lasso.components_, spca_lars.components_)
+
+
+@if_not_mac_os()
+def test_fit_transform_parallel():
+    alpha = 1
+    rng = np.random.RandomState(0)
+    Y, _, _ = generate_toy_data(3, 10, (8, 8), random_state=rng)  # wide array
+    spca_lars = SparsePCA(n_components=3, method='lars', alpha=alpha,
+                          random_state=0)
+    spca_lars.fit(Y)
     U1 = spca_lars.transform(Y)
     # Test multiple CPUs
     spca = SparsePCA(n_components=3, n_jobs=2, method='lars', alpha=alpha,
                      random_state=0).fit(Y)
     U2 = spca.transform(Y)
     assert_true(not np.all(spca_lars.components_ == 0))
     assert_array_almost_equal(U1, U2)
-    # Test that CD gives similar results
-    spca_lasso = SparsePCA(n_components=3, method='cd', random_state=0,
-                           alpha=alpha)
-    spca_lasso.fit(Y)
-    assert_array_almost_equal(spca_lasso.components_, spca_lars.components_)
 
 
 def test_transform_nan():