code: def _load_list(self):
      import json
  
      with open(self.json_path) as f:
          class_idx = json.load(f)
      self.label2classname = [
          class_idx[str(k)][1] for k in range(len(class_idx))
      ]
  
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 1 for calling the ImageNetClassNameLookup obj's underlying member method code with example usage: obj._load_list() without return types