code: def test_works_with_gym_maze_envs():
      env = GymMazeEnv("CartPole-v0")
      policy = RandomPolicy(action_spaces_dict=env.action_spaces_dict)
  
      agent_deployment = AgentDeployment(policy=policy, env=env)
  
      external_env = gym.make("CartPole-v0")
  
      maze_state = external_env.reset()
      reward, done, info = 0, False, {}
  
      for i in range(10):
          maze_action = agent_deployment.act(
              maze_state, reward, done, info
          )
          maze_state, reward, done, info = external_env.step(
              maze_action
          )
  
      agent_deployment.close(maze_state, reward, done, info)
  
imports: from typing import Tuple, Sequence, Optional
  import gym
  import numpy
  import pytest
  from maze.core.agent.random_policy import RandomPolicy
  from maze.core.agent_deployment.agent_deployment import AgentDeployment
  from maze.core.env.action_conversion import ActionType
  from maze.core.env.base_env import BaseEnv
  from maze.core.env.base_env_events import BaseEnvEvents
  from maze.core.env.maze_state import MazeStateType
  from maze.core.env.observation_conversion import ObservationType
  from maze.core.env.structured_env import ActorID
  from maze.core.log_events.episode_event_log import EpisodeEventLog
  from maze.core.log_events.log_events_writer import LogEventsWriter
  from maze.core.log_events.log_events_writer_registry import LogEventsWriterRegistry
  from maze.core.log_events.monitoring_events import RewardEvents
  from maze.core.log_stats.log_stats import LogStatsWriter, LogStats, LogStatsLevel
  from maze.core.log_stats.log_stats import register_log_stats_writer
  from maze.core.trajectory_recording.records.trajectory_record import StateTrajectoryRecord
  from maze.core.trajectory_recording.writers.trajectory_writer import TrajectoryWriter
  from maze.core.trajectory_recording.writers.trajectory_writer_registry import TrajectoryWriterRegistry
  from maze.core.utils.config_utils import EnvFactory, read_hydra_config
  from maze.core.wrappers.log_stats_wrapper import LogStatsWrapper
  from maze.core.wrappers.maze_gym_env_wrapper import GymMazeEnv
  from maze.core.wrappers.trajectory_recording_wrapper import TrajectoryRecordingWrapper
  from maze.test.shared_test_utils.dummy_wrappers.step_skip_in_step_wrapper import StepSkipInStepWrapper
  from maze.test.shared_test_utils.dummy_env.agents.dummy_policy import DummyGreedyPolicy
  from maze.test.shared_test_utils.helper_functions import build_dummy_maze_env, build_dummy_structured_env
label_desc: Use image node_id 9 for calling a global function with example usage: test_works_with_gym_maze_envs() without return types