code: def test_step():
      max_steps = 20
      env_all = [init_env(max_steps, env_class) for env_class in ENVS]
  
      for env in env_all:
          obs, info = env.reset()
          check_obs(obs, env)
          assert_logger_buffer_size_two_players(env, n_steps=0)
  
          actions = {
              policy_id: random.randint(0, env.NUM_ACTIONS - 1)
              for policy_id in env.players_ids
          }
          obs, reward, done, truncated, info = env.step(actions)
          check_obs(obs, env)
          assert_logger_buffer_size_two_players(env, n_steps=1)
          assert not done["__all__"]
  
file_path: ray/rllib/examples/env/tests/test_matrix_sequential_social_dilemma.py
imports: import random
  from ray.rllib.examples.env.matrix_sequential_social_dilemma import IteratedPrisonersDilemma, IteratedChicken, IteratedStagHunt, IteratedBoS
label_desc: Use image node_id 5 for calling a global function with example usage: test_step() without return types