code: def wrap_old_fn(old_fn, **config):
      def wrapper(closure, params, state):
          return old_fn(closure, params, config, state)
  
      return wrapper
  
imports: import contextlib
  import functools
  import re
  import warnings
  from unittest import TestCase
  import torch
  from pytext.optimizer import Lamb, StochasticWeightAveraging
  from torch import nn, optim, sparse
  from torch.autograd import Variable
  from torch.utils import data
label_desc: Use image node_id 3 for calling a global function with example usage: wrap_old_fn(old_fn) and returns: wrapper, old_fn