class_docstr: NAS Tuner using Evolution Algorithm, with weight sharing enabled
code: def update_search_space(self, data):
      pass
  
imports: import copy
  import json
  import logging
  import random
  import os
  from threading import Event, Lock, current_thread
  from nni.tuner import Tuner
  from nni.utils import extract_scalar_reward
  from graph import Graph, Layer, LayerType, Enum, graph_dumps, graph_loads, unique
label_desc: Use image node_id 7 for calling the CustomerTuner obj's underlying member method code with example usage: obj.update_search_space(data) without return types