code: def build_dummy_base_env() -> BaseEnv:
      """helper function creating a DummyBaseEnv for unit testing.
      :return: A Dummy Base Env.
      """
  
      class SomeBaseEnv(BaseEnv):
          """A dummy base env for unit testing."""
  
          @override(BaseEnv)
          def step(
              self, action: Any
          ) -> Tuple[Any, Any, bool, Dict[Any, Any]]:
              """override of BaseEnv"""
              return None, None, False, {}
  
          @override(BaseEnv)
          def reset(self) -> Any:
              """override of BaseEnv"""
              return None
  
          @override(BaseEnv)
          def seed(self, seed: int) -> None:
              """override of BaseEnv"""
              pass
  
          @override(BaseEnv)
          def close(self) -> None:
              """override of BaseEnv"""
              pass
  
      return SomeBaseEnv()
  
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 1 for calling a global function with example usage: build_dummy_base_env() and returns: SomeBaseEnv, None,  None,  False,  dict, None