code: def test_stop(self):
      stopping_criterion = ClassificationChange(2, threshold=0.25)
  
      first_predictions = list_to_csr(
          [[], [0, 1], [1], [0]], shape=(4, 2)
      )
      second_predictions = list_to_csr(
          [[1], [0, 1], [0, 1], [0]], shape=(4, 2)
      )
      third_predictions = list_to_csr(
          [[1], [1], [0, 1], []], shape=(4, 2)
      )
      fourth_predictions = list_to_csr(
          [[1], [], [0, 1], []], shape=(4, 2)
      )
  
      self.assertFalse(
          stopping_criterion.stop(predictions=first_predictions)
      )
      self.assertFalse(
          stopping_criterion.stop(predictions=second_predictions)
      )
      self.assertFalse(
          stopping_criterion.stop(predictions=third_predictions)
      )
      self.assertTrue(
          stopping_criterion.stop(predictions=fourth_predictions)
      )
  
      assert_csr_matrix_equal(
          fourth_predictions, stopping_criterion.last_predictions
      )
  
imports: import unittest
  import numpy
  from numpy.testing import assert_array_equal
  from small_text.stopping_criteria.change import ClassificationChange
  from small_text.utils.labels import list_to_csr
  from tests.utils.testing import assert_csr_matrix_equal
label_desc: Use image node_id 3 for calling the ClassificationChangeMultiLabelStopTest obj's underlying member method code with example usage: obj.test_stop() without return types