code: def test_random_initialization_stratified_num_samples_too_large(self):
      y = np.array([0] * 25 + [1] * 25 + [2] * 25 + [3] * 25)
  
      with self.assertRaises(ValueError):
          random_initialization_stratified(y, n_samples=101)
  
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 2 for calling the RandomInitializationStratifiedTest obj's underlying member method code with example usage: obj.test_random_initialization_stratified_num_samples_too_large() without return types