def test_anonymize_median_multiple(self):
expected_values = np.array([87.5864551, 437.701297])
epsilon = 1.0
anonymizer = DiffPrivLaplaceMechanism(epsilon)
self.set_seed()
anonymized = anonymizer.anonymize_median([87.0, 435.0])
np.testing.assert_almost_equal(anonymized, expected_values)
def test_anonymize_median_single_many(self):
expected_values = np.array([87.5864551, 89.701297, 86.4519884])
epsilon = 1.0
anonymizer = DiffPrivLaplaceMechanism(epsilon)
self.set_seed()
anonymized = anonymizer.anonymize_median(87.0, size=3)
np.testing.assert_almost_equal(anonymized, expected_values)
def test_anonymize_median_single(self):
expected_value = 87.58645513850368
epsilon = 1.0
anonymizer = DiffPrivLaplaceMechanism(epsilon)
self.set_seed()
anonymized = anonymizer.anonymize_median(87.0)
np.testing.assert_almost_equal(anonymized, expected_value)
def test_anonymize_proportion_multiple(self):
expected_values = np.array([87.0586455, 435.2701297])
n = 10.0
epsilon = 1.0
anonymizer = DiffPrivLaplaceMechanism(epsilon)
self.set_seed()
anonymized = anonymizer.anonymize_proportion([87.0, 435.0], n)
np.testing.assert_almost_equal(anonymized, expected_values)
def test_anonymize_proportion_single_many(self):
expected_values = np.array([87.0586455, 87.2701297, 86.9451988])
n = 10.0
epsilon = 1.0
anonymizer = DiffPrivLaplaceMechanism(epsilon)
self.set_seed()
anonymized = anonymizer.anonymize_proportion(87.0, n, size=3)
np.testing.assert_almost_equal(anonymized, expected_values)
def test_anonymize_proportion_single(self):
expected_value = 87.05864551385037
n = 10.0
epsilon = 1.0
anonymizer = DiffPrivLaplaceMechanism(epsilon)
self.set_seed()
anonymized = anonymizer.anonymize_proportion(87.0, n)
np.testing.assert_almost_equal(anonymized, expected_value)
def test_anonymize_sum_multiple(self):
expected_values = np.array([145.0590587, 702.4284063])
lower = 10.0
upper = 99.0
epsilon = 1.0
anonymizer = DiffPrivLaplaceMechanism(epsilon)
self.set_seed()
anonymized = anonymizer.anonymize_sum([87.0, 435.0], lower, upper)
np.testing.assert_almost_equal(anonymized, expected_values)
def test_anonymize_sum_single_many(self):
expected_values = np.array([145.0590587, 354.4284063, 32.746848])
lower = 10.0
upper = 99.0
epsilon = 1.0
anonymizer = DiffPrivLaplaceMechanism(epsilon)
self.set_seed()
anonymized = anonymizer.anonymize_sum(87.0, lower, upper, size=3)
np.testing.assert_almost_equal(anonymized, expected_values)
def test_anonymize_sum_single(self):
expected_value = 145.05905871186388
lower = 10.0
upper = 99.0
epsilon = 1.0
anonymizer = DiffPrivLaplaceMechanism(epsilon)
self.set_seed()
anonymized = anonymizer.anonymize_sum(87.0, lower, upper)
np.testing.assert_almost_equal(anonymized, expected_value)
def test_anonymize_variance_single(self):
expected_value = 133.45311152087612
lower = 10.0
upper = 99.0
n = 100.0
epsilon = 1.0
anonymizer = DiffPrivLaplaceMechanism(epsilon)
self.set_seed()
anonymized = anonymizer.anonymize_variance(87.0, lower, upper, n)
np.testing.assert_almost_equal(anonymized, expected_value)
def test_anonymize_mean_multiple(self):
expected_values = np.array([87.5219451, 437.4041544])
lower = 10.0
upper = 99.0
n = 100.0
epsilon = 1.0
anonymizer = DiffPrivLaplaceMechanism(epsilon)
self.set_seed()
anonymized = anonymizer.anonymize_mean([87.0, 435.0], lower, upper, n)
np.testing.assert_almost_equal(anonymized, expected_values)
def test_anonymize_mean_single_many(self):
expected_values = np.array([87.5219451, 89.4041544, 86.5122696])
lower = 10.0
upper = 99.0
n = 100.0
epsilon = 1.0
anonymizer = DiffPrivLaplaceMechanism(epsilon)
self.set_seed()
anonymized = anonymizer.anonymize_mean(87.0, lower, upper, n, size=3)
np.testing.assert_almost_equal(anonymized, expected_values)
def test_anonymize_mean_single(self):
expected_value = 87.52194507326827
lower = 10.0
upper = 99.0
n = 100.0
epsilon = 1.0
anonymizer = DiffPrivLaplaceMechanism(epsilon)
self.set_seed()
anonymized = anonymizer.anonymize_mean(87.0, lower, upper, n)
np.testing.assert_almost_equal(anonymized, expected_value)
def test_anonymize_variance_multiple(self):
expected_values = np.array([133.4531115, 648.969738])
lower = 10.0
upper = 99.0
n = 100.0
epsilon = 1.0
anonymizer = DiffPrivLaplaceMechanism(epsilon)
self.set_seed()
anonymized = anonymizer.anonymize_variance([87.0, 435.0], lower, upper,
n)
np.testing.assert_almost_equal(anonymized, expected_values)
def test_anonymize_variance_single_many(self):
expected_values = np.array([133.4531115, 300.969738, 43.5919983])
lower = 10.0
upper = 99.0
n = 100.0
epsilon = 1.0
anonymizer = DiffPrivLaplaceMechanism(epsilon)
self.set_seed()
anonymized = anonymizer.anonymize_variance(87.0,
lower,
upper,
n,
size=3)
np.testing.assert_almost_equal(anonymized, expected_values)
def test_epsilon_getter(self):
epsilon = 0.1
anonymizer = DiffPrivLaplaceMechanism(epsilon)
self.assertEqual(anonymizer.epsilon, epsilon)