Fixed #13 and #14

src/damaris/data/ADC_Result.py

@@ -183,7 +183,7 @@ class ADC_Result(Resultable, Drawable, DamarisFFT, Signalpath):
         for i in range(self.get_number_of_channels()):
             tmp_y.append(self.y[i][start:end+1].copy())
 
-        r = ADC_Result(x = tmp_x, y = tmp_y,  index = [(0,len(tmp_y[0])-1)], sampl_freq = self.sampling_rate, desc = self.description, job_id = self.job_id, job_date = self.job_date)
+        r = ADC_Result(x = tmp_x, y = tmp_y,  index = [(0,len(tmp_y[0])-1)], sampl_freq = self.sampling_rate, desc = self.description.copy() if self.description is not None else None, job_id = self.job_id, job_date = self.job_date)
         self.lock.release()
         return r
 

src/damaris/data/Accumulation.py

@@ -118,9 +118,23 @@ class Accumulation(Errorable, Drawable, DamarisFFT, Signalpath):
             tmp_y.append(self.y[i][start:end+1])
 
         r = Accumulation(x = tmp_x, y = tmp_y, n = self.n, index = [(0,len(tmp_y[0])-1)], sampl_freq = self.sampling_rate, error = self.use_error)            
+        if self.uses_statistics():
+            r.y_square = []
+            for i in range(self.get_number_of_channels()):
+                r.y_square.append(self.y_square[i][start:end+1])
+        if self.common_descriptions is not None:
+            r.common_descriptions = self.common_descriptions.copy()
+        r.time_period = self.time_period[:]
+        r.job_ids = self.job_ids.copy()
         self.lock.release()
         return r
 
+    def get_result_by_index(self, index):
+        return self.get_accu_by_index(index)
+
+    def get_Result_by_index(self, index):
+        return self.get_accu_by_index(index)
+
     def get_ysquare(self, channel):
         if self.uses_statistics():
             try:
@@ -1032,10 +1046,10 @@ class Accumulation(Errorable, Drawable, DamarisFFT, Signalpath):
                 self.set_title(self.__title_pattern % self.n)
                 if hasattr(other, "is_clipped"):
                     self.is_clipped = other.is_clipped
-                self.common_descriptions=other.common_desriptions.copy()
+                self.common_descriptions=other.common_descriptions.copy()
                 self.time_period=other.time_period[:]
                 self.job_id = other.job_id      # added by Oleg Petrov
-                self.job_ids += other.job_ids
+                self.job_ids.update(other.job_ids)
                 self.lock.release()
 
                 return self
@@ -1066,6 +1080,7 @@ class Accumulation(Errorable, Drawable, DamarisFFT, Signalpath):
                 self.time_period=[min(self.time_period[0],other.time_period[0]),
                                   max(self.time_period[1],other.time_period[1])]
                 self.job_id = other.job_id
+                self.job_ids.update(other.job_ids)
                 # Removes mismatched common description keys
                 if self.common_descriptions is not None and other.common_descriptions is not None:
                     # Get all keys that exist in both dictionaries