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_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)