code: def _reconnect_action(self):
      disconnected = np.where(self.observation.line_status == False)[
          0
      ].tolist()
  
      least_rho = 2.0
      best_action = None
      for line_id in disconnected:
          if self.observation.time_before_cooldown_line[line_id] == 0:
              action = self.action_space(
                  {"set_line_status": [(line_id, +1)]}
              )
              (
                  obs_simulate,
                  reward_simulate,
                  done_simulate,
                  info_simulate,
              ) = self.observation.simulate(action)
              self.observation._obs_env._reset_to_orig_state()
  
              if (
                  np.max(self.observation.rho) < 1.0
                  and np.max(obs_simulate.rho) >= 1.0
              ):
                  continue
  
              return action
  
imports: import torch
  import numpy
  import pickle
  import os
  from grid2op.Agent import BaseAgent
  from copy import deepcopy
  from powernet_model import CombinedActionModel, UnitaryActionModel
  from utils import FeatureProcessor, UnitaryFeatureProcessor
label_desc: Use image node_id 15 for calling the RLAgent obj's underlying member method code with example usage: obj._reconnect_action() and returns: action