code: def search_test():
      args = parser.parse_args()
      config = args.config
      config = get_config(config, show=True)
      task_config = config.task_config
      data_config = config.data_config
      resource_config = config.resource_config
      algo_config = config.algo_config
      search_space = config.get("search_space", None)
  
      if args.workspace is not None:
          task_config["workspace"] = args.workspace
      workspace = task_config["workspace"]
  
      # 算法，任务，资源，数据，搜索空间(optional)配置导入，
      exper = AutoAugExperiment.create(
          algo_config=algo_config,
          task_config=task_config,
          resource_config=resource_config,
          data_config=data_config,
          search_space=search_space,
          fitter=HubFitterClassifer,
      )
      result = exper.search()  # 开始搜索任务
      policy = result.get_best_policy()  # 最佳策略获取， policy格式见 搜索结果应用格式
      print("policy is:{}".format(policy))
      dump_path = os.path.join(workspace, "auto_aug_config.json")
      result.dump_best_policy(path=dump_path)
  
imports: from auto_augment.autoaug.experiment.experiment import AutoAugExperiment
  from auto_augment.autoaug.utils.yaml_config import get_config
  from hub_fitter import HubFitterClassifer
  import os
  import argparse
  import logging
label_desc: Use image node_id 2 for calling a global function with example usage: search_test() without return types