fixed all examples in example folder

examples/complex_rail_benchmark.py

@@ -6,7 +6,7 @@ import numpy as np
 from flatland.envs.rail_env import RailEnv
 from flatland.envs.rail_generators import complex_rail_generator
 from flatland.envs.schedule_generators import complex_schedule_generator
-
+from flatland.envs.observations import TreeObsForRailEnv
 
 def run_benchmark():
     """Run benchmark on a small number of agents in complex rail environment."""
@@ -17,6 +17,7 @@ def run_benchmark():
     env = RailEnv(width=15, height=15,
                   rail_generator=complex_rail_generator(nr_start_goal=5, nr_extra=20, min_dist=12),
                   schedule_generator=complex_schedule_generator(),
+                  obs_builder_object=TreeObsForRailEnv(max_depth=2),
                   number_of_agents=5)
     env.reset()
 
@@ -42,9 +43,6 @@ def run_benchmark():
         # Reset environment
         obs, info = env.reset()
 
-        for a in range(env.get_num_agents()):
-            norm = max(1, max_lt(obs[a], np.inf))
-            obs[a] = np.clip(np.array(obs[a]) / norm, -1, 1)
 
         # Run episode
         for step in range(100):
@@ -56,9 +54,6 @@ def run_benchmark():
 
             # Environment step
             next_obs, all_rewards, done, _ = env.step(action_dict)
-            for a in range(env.get_num_agents()):
-                norm = max(1, max_lt(next_obs[a], np.inf))
-                next_obs[a] = np.clip(np.array(next_obs[a]) / norm, -1, 1)
 
             if done['__all__']:
                 break