Updated sensors and added empty logger for speedup

spatz/sensors/gps/erinome1.py

@@ -3,12 +3,13 @@ from typing import List
 from numpy.typing import ArrayLike
 from spatz.sensors.gps import GPS
 from spatz.dataset import ArrayLike, Dataset
+from spatz.simulations.data_source import DataSource
 from spatz.logger import ArrayLike, Logger
 from spatz.transforms import Transform
 
 
 class Erinome_I(GPS):
-    def __init__(self, dataset: Dataset, logger: Logger, transforms: List[Transform] = []):
+    def __init__(self, dataset: DataSource, logger: Logger, transforms: List[Transform] = []):
         super().__init__(dataset, logger, transforms)
 
     def _get_name(self):

spatz/sensors/gps/gps.py

@@ -8,6 +8,7 @@ from numpy.typing import ArrayLike
 from pandas import NA
 
 from spatz.dataset import ArrayLike, Dataset
+from spatz.simulations.data_source import DataSource
 from spatz.logger import ArrayLike, Logger
 from spatz.sensors import Sensor
 from spatz.transforms import Transform
@@ -17,25 +18,24 @@ from spatz.transforms import Transform
 
 
 class GPS(Sensor):
-    def __init__(self, dataset: Dataset, logger: Logger, transforms: List[Transform] = []):
+    def __init__(self, dataset: DataSource, logger: Logger, transforms: List[Transform] = []):
         """GPS Module which provides the following information:
         - Longitude (in °)
         - Latitiude (in °)
         - Altitude (in m)
+        - Lock (1 or 0)
         """
         super().__init__(dataset, logger, transforms)
 
     def _get_data(self) -> ArrayLike:
-        vel = self._dataset.get_total_velocity()
+        long = self._dataset.get_longitude()
+        lat = self._dataset.get_latitude()
+        alt = self._dataset.get_altitude()
+        lock = 1
 
-        # TODO: At which speed do we assume that GPS becomes unreliable?
-        if vel / self._dataset.get_speed_of_sound() > 1:
-            return np.array([0, 0, 0])
-        
-        x = self._dataset.fetch_values(['latitude', 'longitude', 'altitude'])
-        x = self._sensor_specific_effects(x)
+        self._log('longitude', long)
+        self._log('latitude', lat)
+        self._log('altitude', alt)
+        self._log('lock', lock)
 
-        # Convert to degrees.
-        x *= 180 / math.pi
-
-        return x
+        return np.array([long, lat, alt, lock])