Some more tests

Orange/widgets/evaluate/tests/test_owpredictions.py

@@ -17,7 +17,8 @@
 from Orange.data import Table, Domain, DiscreteVariable
 from Orange.modelling import ConstantLearner, TreeLearner
 from Orange.evaluation import Results
-from Orange.widgets.tests.utils import excepthook_catch, possible_duplicate_table
+from Orange.widgets.tests.utils import excepthook_catch, \
+    possible_duplicate_table
 from Orange.widgets.utils.colorpalette import ColorPaletteGenerator
 
 
@@ -421,7 +422,6 @@ def test_unique_output_domain(self):
         self.send_signal(self.widget.Inputs.predictors, predictor)
 
         output = self.get_output(self.widget.Outputs.predictions)
-        print(output.domain)
         self.assertEqual(output.domain.metas[0].name, 'constant (1)')
 
 

Orange/widgets/visualize/tests/test_owsilhouetteplot.py

@@ -13,6 +13,7 @@
 from Orange.widgets.utils.annotated_data import ANNOTATED_DATA_SIGNAL_NAME
 from Orange.widgets.visualize.owsilhouetteplot import OWSilhouettePlot
 from Orange.widgets.tests.base import WidgetTest, WidgetOutputsTestMixin
+from Orange.widgets.tests.utils import possible_duplicate_table
 from Orange.widgets.utils.state_summary import format_summary_details
 
 
@@ -252,6 +253,15 @@ def test_summary(self):
         self.assertEqual(info._StateInfo__output_summary.brief, "")
         self.assertEqual(info._StateInfo__output_summary.details, no_output)
 
+    def test_unique_output_domain(self):
+        widget = self.widget
+        data = possible_duplicate_table('Silhouette (iris)')
+        matrix = Orange.distance.Euclidean(data)
+        self.send_signal(widget.Inputs.data, matrix, widget=widget)
+
+        output = self.get_output(self.widget.Outputs.annotated_data)
+        self.assertEqual(output.domain.metas[0].name, 'Silhouette (iris) (1)')
+
 
 if __name__ == "__main__":
     unittest.main()