code: def __getitem__(self, index):
      coarse_label_name, fine_label_name = self.labels[
          index % self.num_classes
      ]
      data = self.data[
          "{0}/{1}".format(coarse_label_name, fine_label_name)
      ]
      transform = self.get_transform(index, self.transform)
      target_transform = self.get_target_transform(index)
  
      return CIFAR100Dataset(
          index,
          data,
          coarse_label_name,
          fine_label_name,
          transform=transform,
          target_transform=target_transform,
      )
  
imports: import numpy
  import os
  import json
  import h5py
  from PIL import Image
  from torchvision.datasets.utils import check_integrity, download_url
  from torchmeta.utils.data import Dataset, ClassDataset
label_desc: Use image node_id 2 for calling the CIFAR100ClassDataset obj's underlying member method code with example usage: obj.__getitem__(index) and returns: CIFAR100Dataset