code: def print_config(config):
      print("**************** MODEL CONFIGURATION ****************")
      for key in sorted(config.keys()):
          val = config[key]
          keystr = "{}".format(key) + (" " * (24 - len(key)))
          print("{} -->  {}".format(keystr, val))
      print("**************** MODEL CONFIGURATION ****************")
  
imports: import argparse
  import os
  import time
  import numpy
  import torch
  import torch.backends.cudnn
  import torch.multiprocessing
  from torch.utils.data import DataLoader
  from graph4nlp.pytorch.datasets.squad import SQuADDataset
  from graph4nlp.pytorch.modules.config import get_basic_args
  from graph4nlp.pytorch.modules.evaluation import BLEU, METEOR, ROUGE
  from graph4nlp.pytorch.modules.utils import constants
  from graph4nlp.pytorch.modules.utils.config_utils import get_yaml_config, update_values
  from graph4nlp.pytorch.modules.utils.copy_utils import prepare_ext_vocab
  from graph4nlp.pytorch.modules.utils.generic_utils import all_to_cuda
  from graph4nlp.pytorch.modules.utils.logger import Logger
  from .main import QGModel
label_desc: Use image node_id 4 for calling a global function with example usage: print_config(config) without return types