class_docstr: A MazeEnv monitoring wrapper logging events for observations, actions and rewards.
  
  :param env: The environment to wrap.
  :param observation_logging: If True observation events are logged.
  :param action_logging: If True action events are logged.
  :param reward_logging: If True additional reward events are logged.
class_docstr_tok: ["A","MazeEnv","monitoring","wrapper","logging","events","for","observations",",","actions","and","rewards",".",":","param","env",":","The","environment","to","wrap",".",":","param","observation_logging",":","If","True","observation","events","are","logged",".",":","param","action_logging",":","If","True","action","events","are","logged",".",":","param","reward_logging",":","If","True","additional","reward","events","are","logged","."]
docstr: implementation of :class:`~maze.core.env.simulated_env_mixin.SimulatedEnvMixin`.
docstr_tok: ["implementation","of",":","class",":","`","~maze.core.env.simulated_env_mixin.SimulatedEnvMixin","`","."]
code: def clone_from(self, env: "MazeEnvMonitoringWrapper") -> None:
      """implementation of :class:`~maze.core.env.simulated_env_mixin.SimulatedEnvMixin`."""
      warnings.warn(
          "Try to avoid wrappers such as the 'MazeEnvMonitoringWrapper'"
          "when working with simulated envs to reduce overhead."
      )
      self.env.clone_from(env)
  
imports: import warnings
  from typing import TypeVar, Union, Any, Tuple, Dict, Optional
  import numpy
  from gym import spaces
  from maze.core.annotations import override
  from maze.core.env.action_conversion import ActionType
  from maze.core.env.base_env import BaseEnv
  from maze.core.env.maze_action import MazeActionType
  from maze.core.env.maze_env import MazeEnv
  from maze.core.env.maze_state import MazeStateType
  from maze.core.env.observation_conversion import ObservationType
  from maze.core.env.simulated_env_mixin import SimulatedEnvMixin
  from maze.core.env.structured_env import StructuredEnv
  from maze.core.log_events.monitoring_events import ActionEvents, RewardEvents, ObservationEvents
  from maze.core.wrappers.wrapper import Wrapper
label_desc: Use image node_id 9 for calling the MazeEnvMonitoringWrapper obj's underlying member method code with example usage: obj.clone_from(env) without return types