code: def _env_factory():
      return DummyEnvironment(
          core_env=DummyCoreEnvironment(gym.spaces.Discrete(10)),
          action_conversion=[DoubleActionConversion()],
          observation_conversion=[DoubleObservationConversion()],
      )
  
imports: import pickle
  from typing import Any, Dict, Union, Tuple, List, Optional
  import gym
  import numpy
  from maze.core.env.maze_action import MazeActionType
  from maze.core.env.maze_state import MazeStateType
  from maze.core.env.structured_env import ActorID
  from maze.core.env.structured_env_spaces_mixin import StructuredEnvSpacesMixin
  from maze.core.log_events.step_event_log import StepEventLog
  from maze.core.trajectory_recording.datasets.trajectory_processor import IdentityTrajectoryProcessor
  from maze.core.trajectory_recording.records.spaces_record import SpacesRecord
  from maze.core.trajectory_recording.records.structured_spaces_record import StructuredSpacesRecord
  from maze.core.trajectory_recording.records.state_record import StateRecord
  from maze.core.trajectory_recording.records.trajectory_record import StateTrajectoryRecord, SpacesTrajectoryRecord
  from maze.core.wrappers.maze_gym_env_wrapper import make_gym_maze_env
  from maze.core.wrappers.wrapper import ObservationWrapper
  from maze.test.shared_test_utils.dummy_env.dummy_core_env import DummyCoreEnvironment
  from maze.test.shared_test_utils.dummy_env.dummy_maze_env import DummyEnvironment
  from maze.test.shared_test_utils.dummy_env.space_interfaces.action_conversion.double import DoubleActionConversion
  from maze.test.shared_test_utils.dummy_env.space_interfaces.observation_conversion.double import DoubleObservationConversion
  from maze.test.shared_test_utils.run_maze_utils import run_maze_job
  from maze.core.trajectory_recording.datasets.in_memory_dataset import InMemoryDataset
label_desc: Use image node_id 3 for calling a global function with example usage: _env_factory() and returns: DummyEnvironment