code: def __getitem__(self, index):
      return (
          self.transforms(self.image_files[index]),
          self.labels[index],
      )
  
imports: from __future__ import annotations
  import os
  import unittest
  import warnings
  import numpy
  import torch
  from torch.utils.data import DataLoader
  import monai
  from monai.apps import download_and_extract
  from monai.data import decollate_batch
  from monai.metrics import ROCAUCMetric
  from monai.networks import eval_mode
  from monai.networks.nets import DenseNet121
  from monai.transforms import Activations, AsDiscrete, Compose, EnsureChannelFirst, LoadImage, RandFlip, RandRotate, RandZoom, ScaleIntensity, Transpose
  from monai.utils import set_determinism
  from tests.testing_data.integration_answers import test_integration_value
  from tests.utils import DistTestCase, TimedCall, skip_if_downloading_fails, skip_if_quick, testing_data_config
label_desc: Use image node_id 3 for calling the MedNISTDataset obj's underlying member method code with example usage: obj.__getitem__(index) and returns: self,  self