Add parallel testing to all tests in test_flows

Author: mfeurer

tests/test_datasets/test_dataset.py

@@ -10,7 +10,7 @@
 
 class OpenMLDatasetTest(unittest.TestCase):
     # Splitting not helpful, these test's don't rely on the server and take less
-    # than 5 seconds.
+    # than 5 seconds + rebuilding the test would potentially be costly
 
     def setUp(self):
         # Load dataset id 1

tests/test_flows/test_flow_functions.py

@@ -8,6 +8,8 @@
 
 
 class TestFlowFunctions(unittest.TestCase):
+    _multiprocess_can_split_ = True
+
     def _check_flow(self, flow):
         self.assertEqual(type(flow), dict)
         self.assertEqual(len(flow), 6)

tests/test_flows/test_sklearn.py

@@ -50,6 +50,8 @@ def fit(self, X, y):
 
 
 class TestSklearn(unittest.TestCase):
+    # Splitting not helpful, these test's don't rely on the server and take less
+    # than 1 seconds
 
     def setUp(self):
         iris = sklearn.datasets.load_iris()