code: def _get_obs(self, obs):
      # loads
      loads = []
      loads.append(obs.load_p)
      loads.append(obs.load_q)
      loads.append(obs.load_v)
      loads = np.concatenate(loads)
  
      # prods
      prods = []
      prods.append(obs.gen_p)
      prods.append(obs.gen_q)
      prods.append(obs.gen_v)
      prods = np.concatenate(prods)
  
      # rho
      rho = np.array(obs.rho) - 1.0
  
      next_load = obs.nextstep_load_p
  
      # action_space
      action_space_low = obs.action_space["adjust_gen_p"].low.tolist()
      action_space_high = obs.action_space["adjust_gen_p"].high.tolist()
      action_space_low[settings.balanced_id] = 0.0
      action_space_high[settings.balanced_id] = 0.0
  
      features = np.concatenate(
          [
              loads,
              prods,
              rho.tolist(),
              next_load,
              action_space_low,
              action_space_high,
          ]
      )
  
      return features
  
imports: import gym
  import numpy
  from parl.utils import logger
  from Environment.base_env import Environment
  from utilize.settings import settings
  from utilize.form_action import *
label_desc: Use image node_id 2 for calling the ObsTransformerWrapper obj's underlying member method code with example usage: obj._get_obs(obs) and returns: features