code: def run_experiments(args):
      res = []
      for i in range(args.num_trials):
          print("Trial {}/{}".format(i + 1, args.num_trials))
          acc, _ = main(args)
          res.append(acc)
  
      mean, err_bd = get_stats(res, conf_interval=True)
      return mean, err_bd
  
file_path: dgl/examples/pytorch/sagpool/grid_search.py
imports: import json
  import os
  from copy import deepcopy
  from main import main, parse_args
  from utils import get_stats
label_desc: Use image node_id 2 for calling a global function with example usage: run_experiments(args) and returns: mean,  err_bd