code: def __init__(self, active_dataset: ActiveLearningDataset, **kwargs):
      super().__init__(active_dataset, **kwargs)
      self.linear = nn.Linear(784, 10)
  
      self.labeled_data = []
      self.unlabeled_data = []
  
imports: import unittest
  from argparse import Namespace
  import torch
  from baal.active import ActiveLearningDataset
  from pytorch_lightning import Trainer
  from baal.utils.ssl_module import SSLModule
  from torch import nn
  from torch.utils.data import ConcatDataset
  from tests.utils.ssl_iterator_test import SSLTestDataset
label_desc: Use image node_id 1 to create a new TestSSLModule object from inherited base classes: SSLModule with example: obj = TestSSLModule(active_dataset)