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_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(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)