code: def a_data_module(a_dataset, hparams):
      active_set = ActiveLearningDataset(a_dataset)
      active_set.label_randomly(10)
      return MyDataModule(
          active_dataset=active_set, batch_size=hparams["batch_size"]
      )
  
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 a global function with example usage: a_data_module(a_dataset, hparams) and returns: MyDataModule