class_docstr: CLEAR Image Dataset (base class for CLEARImage)
code: def __getitem__(self, index):
      img_path = self.paths[index]
      target = self.targets[index]
  
      img = self.loader(str(self.root / img_path))
  
      if self.transform is not None:
          img = self.transform(img)
      if self.target_transform is not None:
          target = self.target_transform(target)
  
      return img, target
  
imports: from pathlib import Path
  from typing import Optional, Sequence, Tuple, Union, List
  import json
  import os
  import torch
  from torchvision.datasets.folder import default_loader
  from avalanche.benchmarks.datasets import DownloadableDataset, default_dataset_location
  from avalanche.benchmarks.utils import default_flist_reader
  from avalanche.benchmarks.datasets.clear import clear_data
label_desc: Use image node_id 6 for calling the _CLEARImage obj's underlying member method code with example usage: obj.__getitem__(index) and returns: img,  target