code: def test_dqn_cartpole(setup):
      tempdir = tempfile.TemporaryDirectory()
      config = SnapshotConfig(
          snapshot_dir=tempdir.name,
          snapshot_mode="last",
          snapshot_gap=1,
      )
  
      trainer = Trainer(config)
      algo, env, _, n_epochs, batch_size = setup
      trainer.setup(algo, env)
      last_avg_return = trainer.train(
          n_epochs=n_epochs, batch_size=batch_size
      )
      assert last_avg_return > 10
      env.close()
  
      # test resume from snapshot
      trainer.restore(tempdir.name)
      trainer.resume(n_epochs=1, batch_size=batch_size)
  
imports: import copy
  import tempfile
  from unittest.mock import MagicMock
  import pytest
  import torch
  from torch.nn import functional
  from garage.envs import GymEnv
  from garage.experiment import SnapshotConfig
  from garage.experiment.deterministic import set_seed
  from garage.np.exploration_policies import EpsilonGreedyPolicy
  from garage.replay_buffer import PathBuffer
  from garage.sampler import FragmentWorker, LocalSampler
  from garage.torch import np_to_torch
  from garage.torch.algos import DQN
  from garage.torch.policies import DiscreteQFArgmaxPolicy
  from garage.torch.q_functions import DiscreteMLPQFunction
  from garage.trainer import Trainer
  from tests.fixtures import snapshot_config
label_desc: Use image node_id 2 for calling a global function with example usage: test_dqn_cartpole(setup) without return types