code: def __getitem__(self, idx) -> Tuple[np.ndarray, np.ndarray]:
      path = self.files[idx]
  
      if self.loader is not None:
          return self.loader(path), None
  
      img = Image.open(path).convert("RGB")
      if self.transform is not None:
          img = self.transform(img)
      img = TF.to_tensor(img)
      if self.mean is not None and self.std is not None:
          img = TF.normalize(img, self.mean, self.std)
      return img, None
  
file_path: fairseq/examples/data2vec/data/path_dataset.py
imports: import glob
  import os
  from typing import List, Optional, Tuple
  import logging
  import numpy
  import torchvision.transforms.functional
  import PIL
  from PIL import Image
  from torchvision.datasets import VisionDataset
label_desc: Use image node_id 3 for calling the PathDataset obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: img,  None, self,  None