code: def test_types(self):
      self.dataset.label_randomly(2)
      assert self.dataset._pool_to_oracle_index(
          1
      ) == self.dataset._pool_to_oracle_index([1])
      assert self.dataset._oracle_to_pool_index(
          1
      ) == self.dataset._oracle_to_pool_index([1])
  
imports: import pickle
  import unittest
  import unittest.mock
  import warnings
  import datasets
  import numpy
  import pytest
  import torch.utils.data
  from torchvision.transforms import Lambda
  from baal.active import ActiveLearningDataset
label_desc: Use image node_id 5 for calling the ActiveDatasetTest obj's underlying member method code with example usage: obj.test_types() without return types