Following the breaking change of AxFoundation/strax#910 (#1452)

.gitignore

@@ -63,9 +63,6 @@ docs/_build
 # Pycharm
 .idea
 
-# coverage
-.coverage
-
 # graphviz
 *.gv
 *.dot

straxen/plugins/events/event_top_bottom_params.py

@@ -92,7 +92,7 @@ def infer_dtype(self):
     def compute(self, events):
         result = np.zeros(events.shape, dtype=self.dtype)
         result["time"], result["endtime"] = events["time"], strax.endtime(events)
-        peak_dtype = strax.peak_dtype(n_channels=straxen.n_tpc_pmts, digitize_top=False)
+        peak_dtype = strax.peak_dtype(n_channels=straxen.n_tpc_pmts, store_data_top=False)
         for type_ in self.ptypes:
             for arr_ in self.arrs:
                 # in order to reuse the same definitions as in other parts, we create "fake peaks"

straxen/plugins/merged_s2s/merged_s2s.py

@@ -99,7 +99,8 @@ def compute(self, peaklets, lone_hits):
 
         if "data_top" not in peaklets.dtype.names:
             peaklets_w_field = np.zeros(
-                len(peaklets), dtype=strax.peak_dtype(n_channels=self.n_tpc_pmts, digitize_top=True)
+                len(peaklets),
+                dtype=strax.peak_dtype(n_channels=self.n_tpc_pmts, store_data_top=True),
             )
             strax.copy_to_buffer(peaklets, peaklets_w_field, "_add_data_top_field")
             del peaklets

straxen/plugins/peaklets/peaklets.py

@@ -164,7 +164,7 @@ def infer_dtype(self):
         return dict(
             peaklets=strax.peak_dtype(
                 n_channels=self.n_tpc_pmts,
-                digitize_top=self.sum_waveform_top_array,
+                store_data_top=self.sum_waveform_top_array,
             ),
             lone_hits=strax.hit_dtype,
         )
@@ -205,7 +205,7 @@ def compute(self, records, start, end):
             right_extension=self.peak_right_extension,
             min_channels=self.peak_min_pmts,
             # NB, need to have the data_top field here, will discard if not digitized later
-            result_dtype=strax.peak_dtype(n_channels=self.n_tpc_pmts, digitize_top=True),
+            result_dtype=strax.peak_dtype(n_channels=self.n_tpc_pmts, store_data_top=True),
             max_duration=self.peaklet_max_duration,
         )
 
@@ -543,7 +543,9 @@ def peak_saturation_correction(
         peaks[peak_i]["length"] = p["length"] * p["dt"] / dt
         peaks[peak_i]["dt"] = dt
 
-    strax.sum_waveform(peaks, hitlets, records, rlinks, to_pe, n_top_channels, peak_list)
+    strax.sum_waveform(
+        peaks, hitlets, records, rlinks, to_pe, n_top_channels, select_peaks_indices=peak_list
+    )
     return peak_list
 
 

straxen/plugins/peaklets_he/peaklets_he.py

@@ -73,7 +73,9 @@ def n_tpc_pmts(self):
         return self.n_he_pmts
 
     def infer_dtype(self):
-        return strax.peak_dtype(n_channels=self.n_he_pmts, digitize_top=self.sum_waveform_top_array)
+        return strax.peak_dtype(
+            n_channels=self.n_he_pmts, store_data_top=self.sum_waveform_top_array
+        )
 
     def setup(self):
         self.to_pe = self.gain_model