removed debug print

examples/flatland_2_0_example.py

-import time
-
 import numpy as np
 
 from flatland.envs.observations import TreeObsForRailEnv, GlobalObsForRailEnv
@@ -115,7 +113,6 @@ for step in range(500):
     # reward and whether their are done
     next_obs, all_rewards, done, _ = env.step(action_dict)
     env_renderer.render_env(show=True, show_observations=False, show_predictions=False)
-    time.sleep(10)
     frame_step += 1
     # Update replay buffer and train agent
     for a in range(env.get_num_agents()):

flatland/envs/rail_generators.py

@@ -581,8 +581,7 @@ def sparse_rail_generator(num_cities=5, min_node_dist=20, node_radius=2,
         inner_connection_points, outer_connection_points, connection_info = _generate_node_connection_points(
             node_positions, node_radius, max_inter_city_rails_allowed,
             tracks_in_city)
-        print(inner_connection_points)
-        print(outer_connection_points)
+
         # Connect the cities through the connection points
         _connect_cities(node_positions, outer_connection_points, connection_info, city_cells, rail_trans, grid_map)