code: def get_config(config_path="config.yml"):
      with open(config_path, "r") as setting:
          config = yaml.safe_load(setting)
      return config
  
imports: import os
  import pickle
  from collections import OrderedDict
  import numpy
  import torch
  import torch.nn
  import yaml
  from scipy import sparse
  from sklearn import preprocessing
  from graph4nlp.pytorch.data.data import GraphData
label_desc: Use image node_id 1 for calling a global function with example usage: get_config(config_path) and returns: config