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
  from typing import List
  import numpy
  import torch
  import torch.backends.cudnn
  import torch.multiprocessing
  import yaml
  from nltk.tokenize import word_tokenize
  from graph4nlp.pytorch.data.dataset import Text2LabelDataItem, Text2LabelDataset
  from graph4nlp.pytorch.inference_wrapper.classifier_inference_wrapper import ClassifierInferenceWrapper
  from graph4nlp.pytorch.modules.utils import constants
  from .run_text_classifier import TextClassifier
label_desc: Use image node_id 4 for calling a global function with example usage: print_config(config) without return types