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)))