code: def test_stop(self):
      stopping_criterion = KappaAverage(2, kappa=0.7)
  
      first_predictions = np.array([0, 1, 1, 0])
      second_predictions = np.array([0, 1, 1, 1])
      third_predictions = np.array([0, 1, 1, 1])
      fourth_predictions = np.array([0, 1, 1, 1])
  
      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)
      )
  
      self.assertEqual(
          [0.5, 1.0, 1.0], stopping_criterion.kappa_history
      )
      assert_array_equal(
          fourth_predictions, stopping_criterion.last_predictions
      )
  
imports: import unittest
  import numpy
  from numpy.testing import assert_array_equal
  from small_text.stopping_criteria.kappa import KappaAverage, _adapted_cohen_kappa_score
label_desc: Use image node_id 5 for calling the KappaAverageTest obj's underlying member method code with example usage: obj.test_stop() without return types