code: def test_random_initialization_stratified_multilabel_illegal_strategy(
      self,
  ):
      y = np.array(
          [[0, 0, 0, 0]] * 10
          + [[0, 0, 0, 1]] * 10
          + [[0, 0, 1, 0]] * 10
          + [[0, 1, 0, 0]] * 10
          + [[0, 1, 0, 1]] * 10
          + [[1, 0, 0, 0]] * 50
      )
      y = csr_matrix(y)
  
      with self.assertRaises(ValueError):
          random_initialization_stratified(
              y, multilabel_strategy="does-not-exist"
          )
  
imports: import unittest
  import numpy
  from unittest.mock import patch
  from scipy.sparse import csr_matrix
  from small_text.data import balanced_sampling, stratified_sampling
  from small_text.initialization import random_initialization, random_initialization_stratified, random_initialization_balanced
  from tests.utils.datasets import random_sklearn_dataset
label_desc: Use image node_id 4 for calling the RandomInitializationStratifiedTest obj's underlying member method code with example usage: obj.test_random_initialization_stratified_multilabel_illegal_strategy() without return types