code: def test_get_features(self):
      ds = self._random_data()
      self.assertEqual(self.NUM_SAMPLES, len(ds.x))
  
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 6 for calling the TransformersDatasetTest obj's underlying member method code with example usage: obj.test_get_features() without return types