code: def __getitem__(self, index):
      return {
          DataKeys.INPUT: torch.rand(3, 96, 96),
          DataKeys.TARGET: torch.randint(10, size=(1,)).item(),
      }
  
imports: import os
  from pathlib import Path
  import pytest
  import torch
  from flash import Trainer
  from flash.core.data.io.input import DataKeys
  from flash.core.utilities.imports import _LEARN2LEARN_AVAILABLE, _TOPIC_IMAGE_AVAILABLE
  from flash.image import ImageClassificationData, ImageClassifier
  from flash.image.classification.adapters import TRAINING_STRATEGIES
  from torch.utils.data import DataLoader
  from tests.image.classification.test_data import _rand_image
label_desc: Use image node_id 1 for calling the DummyDataset obj's underlying member method code with example usage: obj.__getitem__(index) and returns: dict