From 77c68cb50744a596ddfb9d07859bb2fa76b8f2ce Mon Sep 17 00:00:00 2001
From: Robert Hillis <tkdrob4390@yahoo.com>
Date: Sun, 11 Jul 2021 16:37:41 -0400
Subject: [PATCH] Use entity class attributes for bayesian (#52831)

---
 .../components/bayesian/binary_sensor.py      | 33 ++++---------------
 1 file changed, 7 insertions(+), 26 deletions(-)

diff --git a/homeassistant/components/bayesian/binary_sensor.py b/homeassistant/components/bayesian/binary_sensor.py
index 6879e278bab..41654973ffe 100644
--- a/homeassistant/components/bayesian/binary_sensor.py
+++ b/homeassistant/components/bayesian/binary_sensor.py
@@ -129,13 +129,15 @@ async def async_setup_platform(hass, config, async_add_entities, discovery_info=
 class BayesianBinarySensor(BinarySensorEntity):
     """Representation of a Bayesian sensor."""
 
+    _attr_should_poll = False
+
     def __init__(self, name, prior, observations, probability_threshold, device_class):
         """Initialize the Bayesian sensor."""
-        self._name = name
+        self._attr_name = name
         self._observations = observations
         self._probability_threshold = probability_threshold
-        self._device_class = device_class
-        self._deviation = False
+        self._attr_device_class = device_class
+        self._attr_is_on = False
         self._callbacks = []
 
         self.prior = prior
@@ -238,12 +240,12 @@ class BayesianBinarySensor(BinarySensorEntity):
 
         self.current_observations.update(self._initialize_current_observations())
         self.probability = self._calculate_new_probability()
-        self._deviation = bool(self.probability >= self._probability_threshold)
+        self._attr_is_on = bool(self.probability >= self._probability_threshold)
 
     @callback
     def _recalculate_and_write_state(self):
         self.probability = self._calculate_new_probability()
-        self._deviation = bool(self.probability >= self._probability_threshold)
+        self._attr_is_on = bool(self.probability >= self._probability_threshold)
         self.async_write_ha_state()
 
     def _initialize_current_observations(self):
@@ -363,30 +365,9 @@ class BayesianBinarySensor(BinarySensorEntity):
         except ConditionError:
             return False
 
-    @property
-    def name(self):
-        """Return the name of the sensor."""
-        return self._name
-
-    @property
-    def is_on(self):
-        """Return true if sensor is on."""
-        return self._deviation
-
-    @property
-    def should_poll(self):
-        """No polling needed."""
-        return False
-
-    @property
-    def device_class(self):
-        """Return the sensor class of the sensor."""
-        return self._device_class
-
     @property
     def extra_state_attributes(self):
         """Return the state attributes of the sensor."""
-
         attr_observations_list = [
             obs.copy() for obs in self.current_observations.values() if obs is not None
         ]