revert blank sensor

kwave/kWaveSimulation.py

@@ -174,12 +174,12 @@ def blank_sensor(self):
         """
 
         fields = ["p", "p_max", "p_min", "p_rms", "u", "u_non_staggered", "u_split_field", "u_max", "u_min", "u_rms", "I", "I_avg"]
-        field_max_all = ["p_max_all", "p_min_all", "p_final", "u_max_all", "u_min_all", "u_final"]
-        if any(self.record.is_set(field_max_all)) and self.sensor.mask is None:
-            self.sensor.mask = True
+        #field_max_all = ["p_max_all", "p_min_all", "p_final", "u_max_all", "u_min_all", "u_final"]
+        #if any(self.record.is_set(field_max_all)) and self.sensor.mask is None:
+        #    self.sensor.mask = True
 
         if not any(self.record.is_set(fields)) and (not self.time_rev):
-            return True
+            return False
 
         return False
 
@@ -1500,7 +1500,9 @@ def create_sensor_variables(self) -> None:
         # define the output variables and mask indices if using the sensor
         if self.use_sensor:
 
-            print('\tuse_sensor:', self.use_sensor)
+            print('\t\tuse_sensor:', self.use_sensor)
+            print('\t\t', isinstance(self.options.save_to_disk, str))
+            print('\t\t', (not self.blank_sensor))
 
             if (not self.blank_sensor) or isinstance(self.options.save_to_disk, str):
 
@@ -1564,7 +1566,7 @@ def create_sensor_variables(self) -> None:
             else:
                 print('Use sensor but is not a blank sensor', (not self.blank_sensor))
                 # set the sensor mask index variable to be empty
-                self.sensor_mask_index = [] # None
+                self.sensor_mask_index = None
         else:
             print("not using a sensor")