Rename visualize_sim render

client.py

@@ -35,7 +35,7 @@ def receive_loop():
             i += 1 
             raw_data = client.recv(state_bytes_size)
             state = serialization.from_bytes(state_example, raw_data)
-            Simulation.visualize_sim(state)
+            Simulation.render(state)
 
         except socket.error as e:
             print(e)
@@ -50,7 +50,7 @@ def test():
         i += 1 
         raw_data = client.recv(state_bytes_size)
         state = serialization.from_bytes(state_example, raw_data)
-        Simulation.visualize_sim(state)
+        Simulation.render(state)
     client.close()
 
     print(f"{i = } : {i / EVAL_TIME } data received per second")

simulate.py

@@ -40,7 +40,7 @@ def main():
         state = sim.step(state, step_key)
 
         if args.visualize:
-            Simulation.visualize_sim(state)
+            Simulation.render(state)
     print("\nSimulation ended")
 
 if __name__ == "__main__":

simulationsandbox/environments/lake_env.py

@@ -1,9 +1,4 @@
-# TODO : Créer un aquarium env en jax
-# TODO : Ensure the agents do not spawn in the lake 
-# TODO : Change the init of lake 
 # TODO : Add more elements to the environment
-# TODO : Maybe test particle based with different speeds on earth / lake
-
 
 from functools import partial
 
@@ -28,6 +23,10 @@ class Agents:
     obs: jnp.array
 
 
+class Object:
+    pos: jnp.array
+
+
 @struct.dataclass
 class LakeEnvState(BaseEnvState):
     time: int
@@ -135,7 +134,7 @@ def remove_agent(self, state, agent_idx):
         return state
 
     @staticmethod
-    def visualize_sim(state):
+    def render(state):
         if not plt.fignum_exists(1):
             plt.ion()
             plt.figure(figsize=(10, 10))

simulationsandbox/environments/three_d_example_env.py

@@ -69,7 +69,7 @@ def get_env_params(self):
         return self.grid_size, self.max_agents
 
     @staticmethod
-    def visualize_sim(state):
+    def render(state):
         if not plt.fignum_exists(1):
             plt.ion()
             fig = plt.figure(figsize=(10, 10))

simulationsandbox/environments/two_d_example_env.py

@@ -65,7 +65,7 @@ def get_env_params(self):
         return self.grid_size, self.max_agents
 
     @staticmethod
-    def visualize_sim(state):
+    def render(state):
         if not plt.fignum_exists(1):
             plt.ion()
             plt.figure(figsize=(10, 10))

tests/test_run_sims.py

@@ -51,7 +51,7 @@ def test_simple_simulation_run():
         state = sim.step(state, actions, step_key)
 
         if VIZUALIZE:
-            TwoDEnv.visualize_sim(state)
+            TwoDEnv.render(state)
     print("\nSimulation ended")
 
     assert jnp.sum(state.alive) == 5
@@ -93,7 +93,7 @@ def test_three_d_simulation_run():
         state = sim.step(state, actions, step_key)
 
         if VIZUALIZE:
-            ThreeDEnv.visualize_sim(state)
+            ThreeDEnv.render(state)
 
     plt.close()
     print("\nSimulation ended")