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_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(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)