code: def __init__(self, optimize_mode, population_size=32):
      self.optimize_mode = OptimizeMode(optimize_mode)
      self.population = init_population(population_size)
  
      assert len(self.population) == population_size
      logger.debug("init population done.")
      return
  
imports: from graph import *
  import copy
  import json
  import logging
  import random
  import numpy
  from nni.tuner import Tuner
  from nni.utils import extract_scalar_reward
label_desc: Use image node_id 1 to create a new CustomerTuner object from inherited base classes: Tuner with example: obj = CustomerTuner(optimize_mode, population_size)