code: def test_get_labels(self):
      ds = self._random_data()
      if self.multi_label:
          self.assertTrue(isinstance(ds.y, csr_matrix))
          y_expected = np.zeros((self.NUM_SAMPLES, self.NUM_LABELS))
          for i, d in enumerate(ds.data):
              labels = d[ds.INDEX_LABEL]
              if labels is not None and labels.shape[0] > 0:
                  y_expected[i, labels] = 1
          y_expected = csr_matrix(y_expected)
          assert_csr_matrix_equal(y_expected, ds.y)
      else:
          self.assertTrue(isinstance(ds.y, np.ndarray))
          self.assertEqual(self.NUM_SAMPLES, ds.y.shape[0])
  
imports: import unittest
  import pytest
  import numpy
  from scipy.sparse import csr_matrix
  from numpy.testing import assert_array_equal
  from parameterized import parameterized_class
  from small_text.base import LABEL_UNLABELED
  from small_text.integrations.pytorch.datasets import PytorchDatasetView
  from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
  from tests.utils.misc import increase_dense_labels_safe
  from tests.utils.testing import assert_array_not_equal, assert_csr_matrix_equal, assert_csr_matrix_not_equal, assert_list_of_tensors_equal, assert_list_of_tensors_not_equal
label_desc: Use image node_id 8 for calling the TransformersDatasetTest obj's underlying member method code with example usage: obj.test_get_labels() without return types