code: def step(self, action):
      ret = super().step(self._next_action)
  
      self.timesteps_ += 1
      self._next_action = 0 if self._next_action else 1
  
      obs = np.concatenate([np.array([self.timesteps_]), ret[0]])
      reward = 0.1 * self.timesteps_
      return (obs, reward) + ret[2:]
  
file_path: ray/python/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 3 for calling the CartPoleDebug obj's underlying member method code with example usage: obj.step(action) and returns: unknown