code: def __getitem__(self, item):
      return torch.from_numpy(
          np.ones([3, 32, 32]) * item / 255.0
      ).float(), (torch.FloatTensor([item % 2]))
  
imports: import copy
  from dataclasses import dataclass, asdict
  import numpy
  import pytest
  import torch
  from baal.active import ActiveLearningDataset
  from baal.utils.pytorch_lightning import ActiveLightningModule, BaalTrainer, ResetCallback, BaaLDataModule
  from pytorch_lightning import LightningModule
  from torch.utils.data import Dataset, DataLoader
  from torchvision.models import vgg16
label_desc: Use image node_id 3 for calling the SimpleDataset obj's underlying member method code with example usage: obj.__getitem__(item) and returns: torch,  torch