code: def test_train(self):
      history = self.wrapper.train_on_dataset(
          self.dataset, self.optim, 10, 2, use_cuda=False, workers=0
      )
      assert len(history) == 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 5 for calling the ModelWrapperTest obj's underlying member method code with example usage: obj.test_train() without return types