def test_min_single(self):
data = list(range(3, 20))
data.reverse()
data = np.array(data)
expected_value = np.min(data)
self.set_seed()
value = DiffPrivStatistics.min(data, self.epsilon)
self.assertAlmostEqual(value, expected_value, self.decimal_places)
def test_min_multiple(self):
data = list(range(3, 20))
data.reverse()
data = np.array([data] * 3)
expected_values = np.min(data, axis=1)
self.set_seed()
value = DiffPrivStatistics.min(data, self.epsilon, axis=1)
np.testing.assert_almost_equal(value, expected_values, self.decimal_places)