TestOWConfusionMatrix: Unittest refactor

Author: VesnaT

Orange/widgets/evaluate/tests/test_owconfusionmatrix.py

@@ -6,7 +6,8 @@
 from Orange.widgets.evaluate.owconfusionmatrix import OWConfusionMatrix
 from Orange.widgets.tests.base import WidgetTest
 
-class TestOWClassificationTree(WidgetTest):
+
+class TestOWConfusionMatrix(WidgetTest):
     @classmethod
     def setUpClass(cls):
         super().setUpClass()
@@ -28,15 +29,15 @@ def test_selected_learner(self):
         """Check learner and model for various values of all parameters
         when pruning parameters are not checked
         """
-        self.widget.set_results(self.results_2_iris)
+        self.send_signal("Evaluation Results", self.results_2_iris)
         self.assertEqual(self.widget.selected_learner, [0])
         self.widget.selected_learner[:] = [1]
-        self.widget.set_results(self.results_2_titanic)
+        self.send_signal("Evaluation Results", self.results_2_titanic)
         self.widget.selected_learner[:] = [1]
-        self.widget.set_results(self.results_1_iris)
+        self.send_signal("Evaluation Results", self.results_1_iris)
         self.widget.selected_learner[:] = [0]
-        self.widget.set_results(None)
-        self.widget.set_results(self.results_1_iris)
+        self.send_signal("Evaluation Results", None)
+        self.send_signal("Evaluation Results", self.results_1_iris)
         self.widget.selected_learner[:] = [0]
 
     def test_outputs(self):