def test_secint(self): secint = mpc.SecInt() y = [1, 3, -2, 3, 1, -2, -2, 4] * 5 random.shuffle(y) x = list(map(secint, y)) self.assertEqual(mpc.run(mpc.output(mean(x))), round(statistics.mean(y))) self.assertEqual(mpc.run(mpc.output(variance(x))), round(statistics.variance(y))) self.assertEqual(mpc.run(mpc.output(variance(x, mean(x)))), round(statistics.variance(y))) self.assertEqual(mpc.run(mpc.output(stdev(x))), round(statistics.stdev(y))) self.assertEqual(mpc.run(mpc.output(pvariance(x))), round(statistics.pvariance(y))) self.assertEqual(mpc.run(mpc.output(pstdev(x))), round(statistics.pstdev(y))) self.assertEqual(mpc.run(mpc.output(mode(x))), round(statistics.mode(y))) self.assertEqual(mpc.run(mpc.output(median(x))), round(statistics.median(y))) self.assertEqual(mpc.run(mpc.output(median_low(x))), round(statistics.median_low(y))) self.assertEqual(mpc.run(mpc.output(median_high(x))), round(statistics.median_high(y))) self.assertEqual(mpc.run(mpc.output(quantiles(x[:2], n=3))), statistics.quantiles(y[:2], n=3)) self.assertEqual(mpc.run(mpc.output(quantiles(x, n=1))), statistics.quantiles(y, n=1)) self.assertEqual(mpc.run(mpc.output(quantiles(x))), statistics.quantiles(y)) x = list(range(16)) y = list(reversed(x)) self.assertAlmostEqual(covariance(x, y), -22.667, 3) x = list(map(secint, x)) y = list(map(secint, y)) self.assertEqual(mpc.run(mpc.output(covariance(x, y))), -23) self.assertRaises(ValueError, quantiles, x, method='wrong')
def test_secint(self): secint = mpc.SecInt() y = [1, 3, -2, 3, 1, -2, -2, 4] * 5 random.shuffle(y) x = list(map(secint, y)) self.assertEqual(mpc.run(mpc.output(mean(x))), round(statistics.mean(y))) self.assertEqual(mpc.run(mpc.output(variance(x))), round(statistics.variance(y))) self.assertEqual(mpc.run(mpc.output(variance(x, mean(x)))), round(statistics.variance(y))) self.assertEqual(mpc.run(mpc.output(stdev(x))), round(statistics.stdev(y))) self.assertEqual(mpc.run(mpc.output(pvariance(x))), round(statistics.pvariance(y))) self.assertEqual(mpc.run(mpc.output(pstdev(x))), round(statistics.pstdev(y))) self.assertEqual(mpc.run(mpc.output(mode(x))), round(statistics.mode(y))) self.assertEqual(mpc.run(mpc.output(median(x))), round(statistics.median(y))) self.assertEqual(mpc.run(mpc.output(median_low(x))), round(statistics.median_low(y))) self.assertEqual(mpc.run(mpc.output(median_high(x))), round(statistics.median_high(y)))