code: def __getitem__(self, item):
      x = torch.from_numpy(np.ones([3, 10, 10]) * item / 255.0).float()
      if self.n_in > 1:
          x = [x] * self.n_in
      return x, (torch.FloatTensor([item % 2]))
  
imports: import math
  import unittest
  from unittest.mock import Mock
  import numpy
  import pytest
  import torch
  import torchmetrics
  from torch import nn
  from torch.utils.data import Dataset, DataLoader
  from baal.modelwrapper import ModelWrapper, mc_inference
  from baal.utils.metrics import ClassificationReport
label_desc: Use image node_id 3 for calling the DummyDataset obj's underlying member method code with example usage: obj.__getitem__(item) and returns: x,  torch