d90c2edfc32f0a9829270fc6e1f201df05df4630,cellprofiler/modules/tests/test_identifysecondaryobjects.py,TestIdentifySecondaryObjects,test_02_03_two_objects_propagation_image,#TestIdentifySecondaryObjects#,275

Before Change

        self.assertEqual(parents[0],1)

    def test_02_03_two_objects_propagation_image(self):
        p = cpp.Pipeline()
        o_s = cpo.ObjectSet()
        i_l = cpi.ImageSetList()
        img = np.zeros((10,20))
        img[2:7,2:7] = .3
        img[2:7,7:17] = .5
        image = cpi.Image(img)
        objects = cpo.Objects()
        labels = np.zeros((10,20),int)
        labels[3:6,3:6] = 1
        labels[3:6,13:16] = 2
        objects.unedited_segmented = labels 
        objects.small_removed_segmented = labels
        objects.segmented = labels
        o_s.add_objects(objects, "primary")
        i_s = i_l.get_image_set(0)
        i_s.add("my_image",image)
        m = cpm.Measurements()
        module = cpmi2.IdentifySecondary()
        module.primary_objects.value="primary"
        module.objects_name.value="my_objects"
        module.image_name.value = "my_image"
        module.method.value = cpmi2.M_PROPAGATION
        module.regularization_factor.value = 0 // propagate by image
        module.threshold_method.value = cpmi.TM_MANUAL
        module.manual_threshold.value = .2
        workspace = cpw.Workspace(p,module,i_s,o_s,m,i_l)
        module.run(workspace)
        self.assertTrue("my_objects" in m.get_object_names())
        self.assertTrue("Image" in m.get_object_names())
        self.assertTrue("Count_my_objects" in m.get_feature_names("Image"))

After Change

        labels = np.zeros((10,20),int)
        labels[3:6,3:6] = 1
        labels[3:6,13:16] = 2
        workspace, module = self.make_workspace(img, labels)
        module.method.value = cpmi2.M_PROPAGATION
        module.regularization_factor.value = 0 // propagate by image
        module.threshold_method.value = cpmi.TM_MANUAL
        module.manual_threshold.value = .2
        module.run(workspace)
        m = workspace.measurements
        self.assertTrue("my_objects" in m.get_object_names())
        self.assertTrue("Image" in m.get_object_names())
        self.assertTrue("Count_my_objects" in m.get_feature_names("Image"))
        counts = m.get_current_measurement("Image", "Count_my_objects")
        self.assertEqual(np.product(counts.shape), 1)
        self.assertEqual(counts[0],2)
        objects_out = workspace.object_set.get_objects("my_objects")
        expected = np.zeros((10,10),int)
        expected[2:7,2:7] = 1
        expected[2:7,7:17] = 2

Instances