code: def setup(args):
      args.update(default_configure)
      set_random_seed(args["seed"])
      args["dataset"] = "ACMRaw" if args["hetero"] else "ACM"
      args["device"] = "cuda:0" if torch.cuda.is_available() else "cpu"
      args["log_dir"] = setup_log_dir(args)
      return args
  
imports: import datetime
  import errno
  import os
  import pickle
  import random
  from pprint import pprint
  import dgl
  import numpy
  import torch
  from dgl.data.utils import _get_dgl_url, download, get_download_dir
  from scipy import io, sparse
label_desc: Use image node_id 5 for calling a global function with example usage: setup(args) and returns: args