code: def build_dummy_maze_env() -> DummyEnvironment:
      """
      Instantiates the DummyEnvironment.
  
      :return: Instance of a DummyEnvironment
      """
      observation_conversion = ObservationConversion()
  
      return DummyEnvironment(
          core_env=DummyCoreEnvironment(observation_conversion.space()),
          action_conversion=[DictActionConversion()],
          observation_conversion=[observation_conversion],
      )
  
imports: import inspect
  from typing import Tuple, Any, Dict, Type, List, Union
  import numpy
  from torch import nn
  from maze.core.annotations import override
  from maze.core.env.base_env import BaseEnv
  from maze.core.env.maze_env import MazeEnv
  from maze.perception.models.built_in.flatten_concat import FlattenConcatPolicyNet
  from maze.perception.models.custom_model_composer import CustomModelComposer
  from maze.perception.models.policies import ProbabilisticPolicyComposer
  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.dummy_struct_env import DummyStructuredEnvironment
  from maze.test.shared_test_utils.dummy_env.dummy_structured_core_env import DummyStructuredCoreEnvironment
  from maze.test.shared_test_utils.dummy_env.space_interfaces.action_conversion.dict import DictActionConversion
  from maze.test.shared_test_utils.dummy_env.space_interfaces.action_conversion.dict_discrete import DictDiscreteActionConversion
  from maze.test.shared_test_utils.dummy_env.space_interfaces.observation_conversion.dict import ObservationConversion
label_desc: Use image node_id 2 for calling a global function with example usage: build_dummy_maze_env() and returns: DummyEnvironment