code: def test_multiple_runs(model_name):
      logname = "tb_multiple_runs_" + model_name
      algo, env_id = MODEL_DICT[model_name]
      model = algo(
          "MlpPolicy",
          env_id,
          verbose=1,
          tensorboard_log=TENSORBOARD_DIR,
      )
      model.learn(N_STEPS, tb_log_name=logname)
      model.learn(N_STEPS, tb_log_name=logname)
  
      assert os.path.isdir(TENSORBOARD_DIR + logname + "_1")
      # Check that the log dir name increments correctly
      assert os.path.isdir(TENSORBOARD_DIR + logname + "_2")
  
imports: import os
  import shutil
  import pytest
  from stable_baselines import A2C, ACER, ACKTR, DQN, DDPG, PPO1, PPO2, SAC, TD3, TRPO
label_desc: Use image node_id 2 for calling a global function with example usage: test_multiple_runs(model_name) without return types