added missing masking when binning xgm data for post-process normalization

src/toolbox_scs/detectors/dssc.py

@@ -171,11 +171,14 @@ class DSSCBinner:
         """
         if self.xgm is not None:
             xgm_data = self.xgm.to_dataset(name='xgm')
+            if self.pulsemask is not None:
+                xgm_data = xgm_data.where(self.pulsemask)
             for b in self.binners:
                 if b in ['trainId', 'pulse']:
                     xgm_data[b+"_binned"] = self.binners[b]
                     xgm_data = xgm_data.groupby(b+"_binned").mean(b)
                     xgm_data = xgm_data.rename(name_dict={b+"_binned": b})
+            log.info('binned xgm data according to dssc binners.')
             return xgm_data.transpose('trainId', 'pulse')
         else:
             log.warning("no xgm data. Use load_xgm() to load the xgm data.")

src/toolbox_scs/test/test_dssc_cls.py

@@ -79,6 +79,7 @@ class TestDSSC(unittest.TestCase):
         run235.add_binner('pulse', binner2)
         xgm_threshold=(300.0, 8000.0)
         run235.create_xgm_mask(xgm_threshold, 1)
+        self.assertIsNotNone(run235.get_xgm_binned())
 
         self.assertEqual(run235.binners['trainId'].values[0],
                          np.float32(7585.52))