Updated setup class and kalman filter class

spatz/models/kalman.py

@@ -1,10 +1,19 @@
+from typing import Any
+
+
+def A(dt: float):
+    return [[dt, 0], [0, 1]]
+
 
 
 class KalmanFilter:
-    def __init__(self) -> None:
-        pass
+    def __init__(self, A, B) -> None:
+        self.__A = A
+        self.__B = B
+
+    def predict(self, dt: float) -> None:
+        self.__A(dt)
 
-    def predict(self) -> None:
         pass
 
     def correct(self) -> None:

spatz/sensors/gps/gps.py

@@ -2,9 +2,11 @@ from typing import Any, List
 from numpy.linalg import norm
 
 from numpy.typing import ArrayLike
+from pandas import NA
+
 from spatz.dataset import ArrayLike, Dataset
 from spatz.logger import ArrayLike, Logger
-from spatz.sensors import Sensor, NA
+from spatz.sensors import Sensor
 from spatz.transforms import Transform
 
 # WG84 googlen (world model GPS)