code: def __getitem__(self, item):
      return torch.from_numpy(
          np.ones([3, 10, 10]) * item / 255.0
      ).float(), (item % 2)
  
imports: import unittest
  from unittest.mock import Mock
  import numpy
  import pytest
  import torch
  from torch import nn
  from torch.utils.data import Dataset
  from baal.calibration import DirichletCalibrator
  from baal.modelwrapper import ModelWrapper
label_desc: Use image node_id 2 for calling the DummyDataset obj's underlying member method code with example usage: obj.__getitem__(item) and returns: torch,  unknown