code: def test_mcts(self):
      # Create a fake environment to test with.
      num_actions = 5
      environment = fakes.DiscreteEnvironment(
          num_actions=num_actions,
          num_observations=10,
          obs_dtype=np.float32,
          episode_length=10,
      )
      spec = specs.make_environment_spec(environment)
  
      network = snt.Sequential(
          [
              snt.Flatten(),
              snt.nets.MLP([50, 50]),
              networks.PolicyValueHead(spec.actions.num_values),
          ]
      )
      model = simulator.Simulator(environment)
      optimizer = snt.optimizers.Adam(1e-3)
  
      # Construct the agent.
      agent = mcts.MCTS(
          environment_spec=spec,
          network=network,
          model=model,
          optimizer=optimizer,
          n_step=1,
          discount=1.0,
          replay_capacity=100,
          num_simulations=10,
          batch_size=10,
      )
  
      # Try running the environment loop. We have no assertions here because all
      # we care about is that the agent runs without raising any errors.
      loop = acme.EnvironmentLoop(environment, agent)
      loop.run(num_episodes=2)
  
file_path: acme/acme/agents/tf/mcts/agent_test.py
imports: import acme
  from acme import specs
  from acme.agents.tf import mcts
  from acme.agents.tf.mcts.models import simulator
  from acme.testing import fakes
  from acme.tf import networks
  import numpy
  import sonnet
  from absl.testing import absltest
label_desc: Use image node_id 1 for calling the MCTSTest obj's underlying member method code with example usage: obj.test_mcts() without return types