class_docstr: Does as little as possible, returns random actions
  
  :param observation_space: The observation space for the environment (in the state to observation interface)
docstr: Nothing needs to be done here, as we are anyway just sampling the observation space for "states
docstr_tok: ["Nothing","needs","to","be","done","here",",","as","we","are","anyway","just","sampling","the","observation","space","for","``","states"]
code: def clone_from(self, env: "CoreEnv") -> None:
      """Nothing needs to be done here, as we are anyway just sampling the observation space for "states"""
      pass
  
imports: from typing import Tuple, Dict, Any, Optional
  import gym
  import numpy
  from maze.core.env.core_env import CoreEnv
  from maze.core.env.structured_env import StepKeyType, ActorID
  from maze.core.events.pubsub import Pubsub
  from maze.core.rendering.renderer import Renderer
  from maze.test.shared_test_utils.dummy_env.dummy_renderer import DummyMatplotlibRenderer
  from maze.test.shared_test_utils.dummy_env.reward.base import RewardAggregator, DummyEnvEvents
label_desc: Use image node_id 13 for calling the DummyCoreEnvironment obj's underlying member method code with example usage: obj.clone_from(env) without return types