Test that sizeExtendedness plugin fails properly

python/lsst/meas/base/tests.py

@@ -616,7 +616,7 @@ def realize(self, noise, schema, randomSeed=1):
             newHeavy.getMaskArray()[:] = oldHeavy.getMaskArray()
             newHeavy.getVarianceArray()[:] = oldHeavy.getVarianceArray()
             record.setFootprint(newHeavy)
-        lsst.afw.table.updateSourceCoords(exposure.wcs, catalog)
+        lsst.afw.table.updateSourceCoords(exposure.wcs, catalog, include_covariance=False)
         return exposure, catalog
 
 

tests/test_MomentsClassifier.py

@@ -56,6 +56,20 @@ def testSingleFramePlugin(self):
         for ii in range(self.n_stars, self.n_stars + self.n_gals):
             self.assertGreater(catalog[ii].get("base_ClassificationSizeExtendedness_value"), 0.02)
 
+    def testFailure(self):
+        """Test that MeasurementError is raised properly."""
+        config = measBase.SingleFrameMeasurementConfig()
+        task = self.makeSingleFrameMeasurementTask(config=config)
+        exposure, catalog = self.dataset.realize(10.0, task.schema, randomSeed=5)
+        plugin = task.plugins["base_ClassificationSizeExtendedness"]
+        plugin_order = plugin.getExecutionOrder()
+        task.run(catalog, exposure, endOrder=plugin_order)
+        catalog["slot_Shape_flag"] = 1
+        for record in catalog:
+            with self.subTest(id=record["id"]):
+                with self.assertRaises(measBase.MeasurementError):
+                    plugin.measure(record, exposure)
+
     @lsst.utils.tests.methodParameters(noise=(0.001, 0.01))
     def testMonteCarlo(self, noise: float, n_trials: int = 100):
         """Test an ideal simulation, with no noise.