code: def test_get_flattened_unique_labels(self):
      dataset = random_sklearn_dataset(10)
      labels = get_flattened_unique_labels(dataset)
      assert_array_equal(np.array([0, 1]), labels)
  
imports: import unittest
  import numpy
  from numpy.testing import assert_array_equal
  from scipy.sparse import csr_matrix
  from small_text.base import LABEL_IGNORED, LABEL_UNLABELED
  from small_text.utils.labels import concatenate, csr_to_list, get_flattened_unique_labels, get_ignored_labels_mask, get_num_labels, list_to_csr, remove_by_index
  from tests.utils.testing import assert_csr_matrix_equal
  from tests.utils.datasets import random_sklearn_dataset
label_desc: Use image node_id 15 for calling the LabelUtilsTest obj's underlying member method code with example usage: obj.test_get_flattened_unique_labels() without return types