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_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(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)