from pyprob to pyro probprog engine

Author: Sceki

.github/workflows/build.yml

@@ -26,12 +26,6 @@ jobs:
     - name: Install
       run: |
         python -m pip install --upgrade pip
-        pip install matplotlib
-        pip install jupyter
-        pip install numpy
-        pip install dsgp4
-        pip install pyprob
-        pip install skyfield
         pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
         pip install .[dev]
         pip install sphinx

kessler/cdm.py

@@ -258,10 +258,10 @@ def set_state(self, object_id, state):
         self._update_miss_distance()
 
     def _update_miss_distance(self):
-        state_object1 = self.get_state(0)
+        state_object1 = self.get_state(0)*1e3
         # if np.isnan(state_object1.sum()):
         #     warnings.warn('state_object1 has NaN')
-        state_object2 = self.get_state(1)
+        state_object2 = self.get_state(1)*1e3
         # if np.isnan(state_object2.sum()):
         #     warnings.warn('state_object2 has NaN')
 
@@ -286,10 +286,10 @@ def relative_state(state_obj_1, state_obj_2):
             relative_state[1] = np.array([np.dot(rot_matrix[0], rel_velocity_xyz), np.dot(rot_matrix[1], rel_velocity_xyz), np.dot(rot_matrix[2], rel_velocity_xyz)])
             return relative_state
 
-        state_object1 = self.get_state(0)
+        state_object1 = self.get_state(0)*1e3
         # if np.isnan(state_object1.sum()):
         #     warnings.warn('state_object1 has NaN')
-        state_object2 = self.get_state(1)
+        state_object2 = self.get_state(1)*1e3
         # if np.isnan(state_object2.sum()):
         #     warnings.warn('state_object2 has NaN')