Remove use of _ in unpacking of dicts

Author: bouwew

plugwise/helper.py

@@ -744,7 +744,7 @@ def _match_locations(self) -> dict[str, ThermoLoc]:
 
         self._all_appliances()
         for location_id, location_details in self._loc_data.items():
-            for _, appliance_details in self._appl_data.items():
+            for appliance_details in list(self._appl_data.values()):
                 if appliance_details["location"] == location_id:
                     location_details.update(
                         {"master": None, "master_prio": 0, "slaves": set()}

plugwise/smile.py

@@ -53,7 +53,7 @@ class SmileData(SmileHelper):
 
     def update_for_cooling(self, devices: dict[str, DeviceData]) -> None:
         """Helper-function for adding/updating various cooling-related values."""
-        for _, device in devices.items():
+        for device in list(devices.values()):
             # For Adam + on/off cooling, modify heating_state and cooling_state
             # based on provided info by Plugwise
             if (
@@ -252,16 +252,16 @@ def _check_availability(
         # OpenTherm device
         if details["dev_class"] == "heater_central" and details["name"] != "OnOff":
             device_data["available"] = True
-            for _, data in self._notifications.items():
-                for _, msg in data.items():
+            for data in list(self._notifications.values()):
+                for msg in list(data.values()):
                     if "no OpenTherm communication" in msg:
                         device_data["available"] = False
 
         # Smartmeter
         if details["dev_class"] == "smartmeter":
             device_data["available"] = True
-            for _, data in self._notifications.items():
-                for _, msg in data.items():
+            for data in list(self._notifications.values()):
+                for msg in list(data.values()):
                     if "P1 does not seem to be connected to a smart meter" in msg:
                         device_data["available"] = False