updated stuff

environments/factory/factory_cleaning.py

@@ -16,7 +16,7 @@ class Factory(object):
 
     def reset(self):
         self.done = False
-        self.agents = np.zeros((self.n_agents, *self.level.shape))
+        self.agents = np.zeros((self.n_agents, *self.level.shape), dtype=np.int8)
         free_cells = np.argwhere(self.level == 0)
         np.random.shuffle(free_cells)
         for i in range(self.n_agents):
@@ -24,17 +24,39 @@ class Factory(object):
             self.agents[i, r, c] = 1
         free_cells = free_cells[self.n_agents:]
         self.state = np.concatenate((self.level[np.newaxis, ...], self.agents), 0)
+        return self.state, 0, self.done, {}
 
     def step(self, actions):
         assert type(actions) in [int, list]
         if type(actions) == int:
             actions = [actions]
+        r = 0
         # level, agent 1,..., agent n,
         for i, a in enumerate(actions):
             old_pos, new_pos, valid = h.check_agent_move(state=self.state, dim=i+1, action=a)
-            print(old_pos, new_pos, valid)
+            if valid:
+                self.make_move(i, old_pos, new_pos)
+        collision_vecs = []
+        for i in range(self.n_agents):  # might as well save the positions (redundant)
+            agent_slice = self.state[i+1]
+            x, y = np.argwhere(agent_slice == 1)[0]
+            collisions_vec = self.state[:, x, y]
+            collisions_vec[i+1] = 0  # no self-collisions
+            collision_vecs.append(collisions_vec)
+        self.handle_collisions(collisions_vec)
+
+        return self.state, r, self.done, {}
+
+    def make_move(self, agent_i, old_pos, new_pos):
+        (x, y), (x_new, y_new) = old_pos, new_pos
+        self.state[agent_i, x, y] = 0
+        self.state[agent_i, x_new, y_new] = 1
+
+    def handle_collisions(self, vecs):
+        pass
 
 
 if __name__ == '__main__':
     factory = Factory(n_agents=1)
     factory.step(0)
+    print(factory.state.shape)

environments/helpers.py

@@ -16,7 +16,7 @@ def parse_level(path):
 
 def one_hot_level(level, wall_char=WALL):
     grid = np.array(level)
-    binary_grid = np.zeros(grid.shape)
+    binary_grid = np.zeros(grid.shape, dtype=np.int8)
     binary_grid[grid == wall_char] = 1
     return binary_grid