refactoring and init.py

mfg_package/algorithms/static/TSP_dirt_agent.py

@@ -0,0 +1,27 @@
+from mfg_package.algorithms.static.TSP_base_agent import TSPBaseAgent
+
+from mfg_package.modules.clean_up import constants as di
+
+future_planning = 7
+
+
+class TSPDirtAgent(TSPBaseAgent):
+
+    def __init__(self, *args, **kwargs):
+        super(TSPDirtAgent, self).__init__(*args, **kwargs)
+
+    def predict(self, *_, **__):
+        if self._env.state[di.DIRT].by_pos(self.state.pos) is not None:
+            # Translate the action_object to an integer to have the same output as any other model
+            action = di.CLEAN_UP
+        elif door := self._door_is_close():
+            action = self._use_door_or_move(door, di.DIRT)
+        else:
+            action = self._predict_move(di.DIRT)
+        # Translate the action_object to an integer to have the same output as any other model
+        try:
+            action_obj = next(action_i for action_i, a in enumerate(self.state.actions) if a.name == action)
+        except (StopIteration, UnboundLocalError):
+            print('Will not happen')
+            raise EnvironmentError
+        return action_obj