code: def __init__(
      self,
      index,
      data,
      coarse_label_name,
      fine_label_name,
      transform=None,
      target_transform=None,
  ):
      super(CIFAR100Dataset, self).__init__(
          index, transform=transform, target_transform=target_transform
      )
      self.data = data
      self.coarse_label_name = coarse_label_name
      self.fine_label_name = fine_label_name
  
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 1 to create a new CIFAR100Dataset object from inherited base classes: Dataset with example: obj = CIFAR100Dataset(index, data, coarse_label_name, fine_label_name, transform, target_transform)