code: def __init__(self, action_space):
      BaseAgent.__init__(self, action_space=action_space)
      self.simulate_times = 0
  
      unitary_action_model = UnitaryActionModel()
      algorithm = ES(unitary_action_model)
      self.unitary_es_agent = UnitaryESAgent(algorithm)
  
      combined_actions_model_1 = CombinedActionsModel()
      combined_actions_model_2 = CombinedActionsModel()
      ensemble_algorithm = EnsembleES(
          combined_actions_model_1, combined_actions_model_2
      )
      self.combine_es_agent = CombineESAgent(ensemble_algorithm)
  
      self.unitary_es_agent.restore(
          "./saved_files", "unitary_action_model.ckpt"
      )
      self.combine_es_agent.restore(
          "./saved_files", "combined_actions_model.ckpt"
      )
  
      unitary_actions_vec = np.load(
          "./saved_files/v6_top500_unitary_actions.npz"
      )["actions"]
      self.unitary_actions = []
      for i in range(unitary_actions_vec.shape[0]):
          action = action_space.from_vect(unitary_actions_vec[i])
          self.unitary_actions.append(action)
  
      redispatch_actions_vec = np.load(
          "./saved_files/redispatch_actions.npz"
      )["actions"]
      self.redispatch_actions = []
      for i in range(redispatch_actions_vec.shape[0]):
          action = action_space.from_vect(redispatch_actions_vec[i])
          self.redispatch_actions.append(action)
  
      with open("./saved_files/action_to_sub_id.pickle", "rb") as f:
          self.action_to_sub_id = pickle.load(f)
  
      self.after_line56_or_line45_disconnect_actions = []
      self.three_sub_action_to_sub_ids = {}
  
      actions_vec = np.load(
          "./saved_files/v10_merge_three_sub_actions.npz"
      )["actions"]
      for i in range(actions_vec.shape[0]):
          action = action_space.from_vect(actions_vec[i])
          self.after_line56_or_line45_disconnect_actions.append(action)
  
      with open(
          "saved_files/three_sub_action_to_sub_ids.pickle", "rb"
      ) as f:
          self.three_sub_action_to_sub_ids = pickle.load(f)
  
      self.used_combine_actions = False
      self.redispatch_cnt = 0
      self.max_redispatch_cnt = 3
      self.serial_actions = []
  
      self.do_nothing_action = action_space({})
      self.action_space = action_space
  
      offset = 59
      self.action_to_sub_topo = {}
      for sub_id, sub_elem_num in enumerate(action_space.sub_info):
          self.action_to_sub_topo[sub_id] = (
              offset,
              offset + sub_elem_num,
          )
          offset += sub_elem_num
  
      self.observation = None
  
      self.redispatch_months = set([3])
  
imports: import numpy
  import pickle
  from grid2op.Agent import BaseAgent
  from grid2op.dtypes import dt_int
  from copy import deepcopy
  from powernet_model import CombinedActionsModel, UnitaryActionModel
  from es import ES, EnsembleES
  from es_agent import CombineESAgent, UnitaryESAgent
label_desc: Use image node_id 1 to create a new Track1PowerNetAgent object from inherited base classes: BaseAgent with example: obj = Track1PowerNetAgent(action_space)