class_docstr: Partially observable variant of the CartPole gym environment.
  
  https://github.com/openai/gym/blob/master/gym/envs/classic_control/
  cartpole.py
  
  We delete the x- and angular velocity components of the state, so that it
  can only be solved by a memory enhanced model (policy).
code: def reset(self, *, seed=None, options=None):
      init_obs, init_info = super().reset(seed=seed, options=options)
      # init_obs is [x-pos, x-veloc, angle, angle-veloc]
      return np.array([init_obs[0], init_obs[2]]), init_info
  
file_path: ray/python/ray/rllib/examples/env/stateless_cartpole.py
imports: from gymnasium.spaces import Box
  import numpy
  from gymnasium.envs.classic_control import CartPoleEnv
label_desc: Use image node_id 3 for calling the StatelessCartPole obj's underlying member method code with example usage: obj.reset() and returns: np,  init_info