code: def __init__(self, *args, **kwargs):
      super().__init__(*args, **kwargs)
  
      low = np.concatenate(
          [np.array([0.0]), self.observation_space.low]
      )
      high = np.concatenate(
          [np.array([1000.0]), self.observation_space.high]
      )
  
      self.observation_space = gym.spaces.Box(
          low, high, shape=(5,), dtype=np.float32
      )
  
      self.timesteps_ = 0
      self._next_action = 0
      self._seed = 1
  
file_path: ray/rllib/algorithms/dreamerv3/utils/debugging.py
imports: import gymnasium
  import numpy
  from PIL import Image, ImageDraw
  from gymnasium.envs.classic_control.cartpole import CartPoleEnv
  from ray.rllib.utils.framework import try_import_tf
label_desc: Use image node_id 1 to create a new CartPoleDebug object from inherited base classes: CartPoleEnv with example: obj = CartPoleDebug()