code: def test_step():
      max_steps, grid_size = 20, 3
      envs = init_several_env(max_steps, grid_size)
  
      for env in envs:
          obs, info = env.reset()
          check_obs(obs, grid_size)
          assert_logger_buffer_size(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, grid_size)
          assert_logger_buffer_size(env, n_steps=1)
          assert not done["__all__"]
  
imports: import random
  import numpy
  from ray.rllib.examples.env.coin_game_non_vectorized_env import CoinGame, AsymCoinGame
label_desc: Use image node_id 6 for calling a global function with example usage: test_step() without return types