code: def _calc_sub_topo_dict(self):
      offset = 0
      self.sub_toop_dict = {}
      for sub_id, sub_elem_num in enumerate(self.observation.sub_info):
          sub_topo = self.observation.topo_vect[
              offset : offset + sub_elem_num
          ]
          offset += sub_elem_num
          self.sub_toop_dict[sub_id] = sub_topo
  
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 14 for calling the RLAgent obj's underlying member method code with example usage: obj._calc_sub_topo_dict() without return types