code: def test_label_randomly_full(self):
      dataset_1 = ActiveLearningDataset(MyDataset())
      dataset_1.label_randomly(99)
      assert dataset_1.n_unlabelled == 1
      assert len(dataset_1.pool) == 1
      dataset_1.label_randomly(1)
      assert dataset_1.n_unlabelled == 0
      assert dataset_1.n_labelled == 100
  
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 11 for calling the ActiveDatasetTest obj's underlying member method code with example usage: obj.test_label_randomly_full() without return types