code: def get_panda_image():
      img_path = os.path.join(DATA_PATH, "panda.jpg")
      img_url = (
          "https://farm1.static.flickr.com/230/524562325_fb0a11d1e1.jpg"
      )
  
      def _load_panda_image():
          from skimage.io import imread
  
          return imread(img_path) / 255.0
  
      if os.path.exists(img_path):
          return _load_panda_image()
      else:
          import urllib
  
          urllib.request.urlretrieve(img_url, img_path)
          return _load_panda_image()
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  import os
  import sys
  import pathlib
  from torch.utils.data.dataset import Subset
  import numpy
  import torch
  import torchvision.transforms
  import torchvision.datasets
  from advertorch.test_utils import LeNet5
label_desc: Use image node_id 14 for calling a global function with example usage: get_panda_image() and returns: unknown, _load_panda_image, _load_panda_image