Make linter happy

boat_simulator/common/sensors.py

@@ -11,6 +11,7 @@
     GaussianGenerator,
 )
 
+
 class Sensor:
     """
 
@@ -106,7 +107,6 @@ def __init__(
         self.wind_queue: deque = deque()
         self.wind_noisemaker = MVGaussianGenerator(mean=np.array([0, 0]), cov=np.eye(2))
 
-
     @property  # type: ignore
     def wind(self) -> ScalarOrArray:
         # TODO: Ensure attribute value and noisemakers are using the same value shape.
@@ -129,6 +129,7 @@ def wind(self, wind: ScalarOrArray):
         else:
             self.wind_queue_next = True
 
+
 class GPS(Sensor):
     """
     Abstraction for GPS.
@@ -172,7 +173,6 @@ def __init__(
         self.speed_noisemaker: GaussianGenerator = GaussianGenerator(mean=0, stdev=1)
         self.heading_noisemaker: GaussianGenerator = GaussianGenerator(mean=0, stdev=1)
 
-
     @property  # type: ignore
     def lat_lon(self) -> NDArray:
         return (
@@ -192,7 +192,6 @@ def lat_lon(self, lat_lon: NDArray):
         else:
             self.lat_lon_queue_next = True
 
-
     @property  # type: ignore
     def speed(self) -> Scalar:
         return (
@@ -228,4 +227,3 @@ def heading(self, heading: Scalar):
             self._heading = self.heading_queue.popleft()
         else:
             self.heading_queue_next = True
-

boat_simulator/common/unit_conversions.py

@@ -131,10 +131,9 @@ class ConversionFactors(Enum):
     km_to_nautical_mi = nautical_mi_to_km.inverse()
 
     # Time
-
     sec_to_ms = ConversionFactor(factor=1000)
     ms_to_sec = sec_to_ms.inverse()
-    
+
     min_to_sec = ConversionFactor(factor=60)
     sec_to_min = min_to_sec.inverse()
 
@@ -203,7 +202,9 @@ def __init__(self, **kwargs: EnumAttr):
                 belonging to `ConversionFactors`.
         """
         for attr_name, attr_val in kwargs.items():
-            assert isinstance(attr_val, Enum) and isinstance(attr_val.value, ConversionFactor)
+            assert isinstance(attr_val, Enum) and isinstance(
+                attr_val.value, ConversionFactor
+            )
             setattr(self, attr_name, attr_val)
 
     def convert(self, **kwargs: ScalarOrArray) -> Dict[str, ScalarOrArray]:
@@ -227,7 +228,9 @@ def convert(self, **kwargs: ScalarOrArray) -> Dict[str, ScalarOrArray]:
 
         for attr_name, attr_val in kwargs.items():
             attr = getattr(self, attr_name, None)
-            assert attr is not None, f"Attribute name {attr} not found in UnitConverter."
+            assert (
+                attr is not None
+            ), f"Attribute name {attr} not found in UnitConverter."
 
             conversion_factor = attr.value
             converted_values[attr_name] = conversion_factor.forward_convert(attr_val)

tests/unit/common/test_gps_sensor.py

@@ -91,9 +91,8 @@ def test_gps_sensor_update_delay(self):
         # Initialized data is read without delay
         gps = GPS(lat_lon=lat_lon, speed=speed0, heading=heading, enable_delay=True)
         assert gps.read("speed") == speed0
-        
+
         NUM_UPDATES = 3
         for i in range(NUM_UPDATES):
             gps.update(speed=(i + 1))
             assert gps.read("speed") == i
-

tests/unit/common/test_wind_sensor.py

@@ -34,7 +34,6 @@ def test_wind_sensor_read_mv_gaussian_noise(self):
         sample_mean = np.mean(reading, axis=0)
         sample_cov = np.cov(reading, rowvar=False)
 
-
         assert np.allclose(sample_mean, mean, atol=0.2)
         assert np.allclose(sample_cov, cov, atol=0.2)
 
@@ -68,4 +67,3 @@ def test_wind_sensor_update_with_delay(self):
             ws.update(wind=np.array([i + 1, i + 1]))
             wind = ws.read("wind")
             assert np.all(wind == [i, i])
-