text: import unittest
  import numpy as np
  from diffpriv_laplace.anonymizer.max import DiffPrivMaxAnonymizer
  
  
  class TestDiffPrivMaxAnonymizer(unittest.TestCase):
      def setUp(self):
          pass
  
      def tearDown(self):
          pass
  
      def set_seed(self):
          np.random.seed(31337)
  
      def test_global_sensitivity_getter(self):
          epsilon = 1.0
          anonymizer = DiffPrivMaxAnonymizer(epsilon)
          self.assertEqual(anonymizer.global_sensitivity.value, 1.0)
  
      def test_epsilon_getter(self):
          epsilon = 1.0
          anonymizer = DiffPrivMaxAnonymizer(epsilon)
          self.assertEqual(anonymizer.epsilon, epsilon)
  
      def test_scale_getter(self):
          epsilon = 1.0
          scale = 1.0 / epsilon
          anonymizer = DiffPrivMaxAnonymizer(epsilon)
          self.assertEqual(anonymizer.scale, scale)
  
      def test_apply_single(self):
          expected_value = 87.58645513850368
          epsilon = 1.0
          anonymizer = DiffPrivMaxAnonymizer(epsilon)
          self.set_seed()
          value = anonymizer.apply(87.0)
          np.testing.assert_almost_equal(value, expected_value)
  
      def test_apply_single_many(self):
          expected_values = np.array([87.5864551, 89.701297, 86.4519884])
          epsilon = 1.0
          anonymizer = DiffPrivMaxAnonymizer(epsilon)
          self.set_seed()
          values = anonymizer.apply(87.0, size=3)
          np.testing.assert_almost_equal(values, expected_values)
  
      def test_apply_multiple(self):
          expected_values = np.array([87.5864551, 437.701297])
          epsilon = 1.0
          anonymizer = DiffPrivMaxAnonymizer(epsilon)
          self.set_seed()
          values = anonymizer.apply([87.0, 435.0])
          np.testing.assert_almost_equal(values, expected_values)
  