| use super::*; |
| |
| extern crate test; |
| use self::test::test::Bencher; |
| use std::io; |
| use std::io::prelude::*; |
| |
| // Test vectors generated from R, using the script src/etc/stat-test-vectors.r. |
| |
| macro_rules! assert_approx_eq { |
| ($a: expr, $b: expr) => {{ |
| let (a, b) = (&$a, &$b); |
| assert!((*a - *b).abs() < 1.0e-6, "{} is not approximately equal to {}", *a, *b); |
| }}; |
| } |
| |
| fn check(samples: &[f64], summ: &Summary) { |
| let summ2 = Summary::new(samples); |
| |
| let mut w = io::sink(); |
| let w = &mut w; |
| (write!(w, "\n")).unwrap(); |
| |
| assert_eq!(summ.sum, summ2.sum); |
| assert_eq!(summ.min, summ2.min); |
| assert_eq!(summ.max, summ2.max); |
| assert_eq!(summ.mean, summ2.mean); |
| assert_eq!(summ.median, summ2.median); |
| |
| // We needed a few more digits to get exact equality on these |
| // but they're within float epsilon, which is 1.0e-6. |
| assert_approx_eq!(summ.var, summ2.var); |
| assert_approx_eq!(summ.std_dev, summ2.std_dev); |
| assert_approx_eq!(summ.std_dev_pct, summ2.std_dev_pct); |
| assert_approx_eq!(summ.median_abs_dev, summ2.median_abs_dev); |
| assert_approx_eq!(summ.median_abs_dev_pct, summ2.median_abs_dev_pct); |
| |
| assert_eq!(summ.quartiles, summ2.quartiles); |
| assert_eq!(summ.iqr, summ2.iqr); |
| } |
| |
| #[test] |
| fn test_min_max_nan() { |
| let xs = &[1.0, 2.0, f64::NAN, 3.0, 4.0]; |
| let summary = Summary::new(xs); |
| assert_eq!(summary.min, 1.0); |
| assert_eq!(summary.max, 4.0); |
| } |
| |
| #[test] |
| fn test_norm2() { |
| let val = &[958.0000000000, 924.0000000000]; |
| let summ = &Summary { |
| sum: 1882.0000000000, |
| min: 924.0000000000, |
| max: 958.0000000000, |
| mean: 941.0000000000, |
| median: 941.0000000000, |
| var: 578.0000000000, |
| std_dev: 24.0416305603, |
| std_dev_pct: 2.5549022912, |
| median_abs_dev: 25.2042000000, |
| median_abs_dev_pct: 2.6784484591, |
| quartiles: (932.5000000000, 941.0000000000, 949.5000000000), |
| iqr: 17.0000000000, |
| }; |
| check(val, summ); |
| } |
| #[test] |
| fn test_norm10narrow() { |
| let val = &[ |
| 966.0000000000, |
| 985.0000000000, |
| 1110.0000000000, |
| 848.0000000000, |
| 821.0000000000, |
| 975.0000000000, |
| 962.0000000000, |
| 1157.0000000000, |
| 1217.0000000000, |
| 955.0000000000, |
| ]; |
| let summ = &Summary { |
| sum: 9996.0000000000, |
| min: 821.0000000000, |
| max: 1217.0000000000, |
| mean: 999.6000000000, |
| median: 970.5000000000, |
| var: 16050.7111111111, |
| std_dev: 126.6914010938, |
| std_dev_pct: 12.6742097933, |
| median_abs_dev: 102.2994000000, |
| median_abs_dev_pct: 10.5408964451, |
| quartiles: (956.7500000000, 970.5000000000, 1078.7500000000), |
| iqr: 122.0000000000, |
| }; |
| check(val, summ); |
| } |
| #[test] |
| fn test_norm10medium() { |
| let val = &[ |
| 954.0000000000, |
| 1064.0000000000, |
| 855.0000000000, |
| 1000.0000000000, |
| 743.0000000000, |
| 1084.0000000000, |
| 704.0000000000, |
| 1023.0000000000, |
| 357.0000000000, |
| 869.0000000000, |
| ]; |
| let summ = &Summary { |
| sum: 8653.0000000000, |
| min: 357.0000000000, |
| max: 1084.0000000000, |
| mean: 865.3000000000, |
| median: 911.5000000000, |
| var: 48628.4555555556, |
| std_dev: 220.5186059170, |
| std_dev_pct: 25.4846418487, |
| median_abs_dev: 195.7032000000, |
| median_abs_dev_pct: 21.4704552935, |
| quartiles: (771.0000000000, 911.5000000000, 1017.2500000000), |
| iqr: 246.2500000000, |
| }; |
| check(val, summ); |
| } |
| #[test] |
| fn test_norm10wide() { |
| let val = &[ |
| 505.0000000000, |
| 497.0000000000, |
| 1591.0000000000, |
| 887.0000000000, |
| 1026.0000000000, |
| 136.0000000000, |
| 1580.0000000000, |
| 940.0000000000, |
| 754.0000000000, |
| 1433.0000000000, |
| ]; |
| let summ = &Summary { |
| sum: 9349.0000000000, |
| min: 136.0000000000, |
| max: 1591.0000000000, |
| mean: 934.9000000000, |
| median: 913.5000000000, |
| var: 239208.9888888889, |
| std_dev: 489.0899599142, |
| std_dev_pct: 52.3146817750, |
| median_abs_dev: 611.5725000000, |
| median_abs_dev_pct: 66.9482758621, |
| quartiles: (567.2500000000, 913.5000000000, 1331.2500000000), |
| iqr: 764.0000000000, |
| }; |
| check(val, summ); |
| } |
| #[test] |
| fn test_norm25verynarrow() { |
| let val = &[ |
| 991.0000000000, |
| 1018.0000000000, |
| 998.0000000000, |
| 1013.0000000000, |
| 974.0000000000, |
| 1007.0000000000, |
| 1014.0000000000, |
| 999.0000000000, |
| 1011.0000000000, |
| 978.0000000000, |
| 985.0000000000, |
| 999.0000000000, |
| 983.0000000000, |
| 982.0000000000, |
| 1015.0000000000, |
| 1002.0000000000, |
| 977.0000000000, |
| 948.0000000000, |
| 1040.0000000000, |
| 974.0000000000, |
| 996.0000000000, |
| 989.0000000000, |
| 1015.0000000000, |
| 994.0000000000, |
| 1024.0000000000, |
| ]; |
| let summ = &Summary { |
| sum: 24926.0000000000, |
| min: 948.0000000000, |
| max: 1040.0000000000, |
| mean: 997.0400000000, |
| median: 998.0000000000, |
| var: 393.2066666667, |
| std_dev: 19.8294393937, |
| std_dev_pct: 1.9888308788, |
| median_abs_dev: 22.2390000000, |
| median_abs_dev_pct: 2.2283567134, |
| quartiles: (983.0000000000, 998.0000000000, 1013.0000000000), |
| iqr: 30.0000000000, |
| }; |
| check(val, summ); |
| } |
| #[test] |
| fn test_exp10a() { |
| let val = &[ |
| 23.0000000000, |
| 11.0000000000, |
| 2.0000000000, |
| 57.0000000000, |
| 4.0000000000, |
| 12.0000000000, |
| 5.0000000000, |
| 29.0000000000, |
| 3.0000000000, |
| 21.0000000000, |
| ]; |
| let summ = &Summary { |
| sum: 167.0000000000, |
| min: 2.0000000000, |
| max: 57.0000000000, |
| mean: 16.7000000000, |
| median: 11.5000000000, |
| var: 287.7888888889, |
| std_dev: 16.9643416875, |
| std_dev_pct: 101.5828843560, |
| median_abs_dev: 13.3434000000, |
| median_abs_dev_pct: 116.0295652174, |
| quartiles: (4.2500000000, 11.5000000000, 22.5000000000), |
| iqr: 18.2500000000, |
| }; |
| check(val, summ); |
| } |
| #[test] |
| fn test_exp10b() { |
| let val = &[ |
| 24.0000000000, |
| 17.0000000000, |
| 6.0000000000, |
| 38.0000000000, |
| 25.0000000000, |
| 7.0000000000, |
| 51.0000000000, |
| 2.0000000000, |
| 61.0000000000, |
| 32.0000000000, |
| ]; |
| let summ = &Summary { |
| sum: 263.0000000000, |
| min: 2.0000000000, |
| max: 61.0000000000, |
| mean: 26.3000000000, |
| median: 24.5000000000, |
| var: 383.5666666667, |
| std_dev: 19.5848580967, |
| std_dev_pct: 74.4671410520, |
| median_abs_dev: 22.9803000000, |
| median_abs_dev_pct: 93.7971428571, |
| quartiles: (9.5000000000, 24.5000000000, 36.5000000000), |
| iqr: 27.0000000000, |
| }; |
| check(val, summ); |
| } |
| #[test] |
| fn test_exp10c() { |
| let val = &[ |
| 71.0000000000, |
| 2.0000000000, |
| 32.0000000000, |
| 1.0000000000, |
| 6.0000000000, |
| 28.0000000000, |
| 13.0000000000, |
| 37.0000000000, |
| 16.0000000000, |
| 36.0000000000, |
| ]; |
| let summ = &Summary { |
| sum: 242.0000000000, |
| min: 1.0000000000, |
| max: 71.0000000000, |
| mean: 24.2000000000, |
| median: 22.0000000000, |
| var: 458.1777777778, |
| std_dev: 21.4050876611, |
| std_dev_pct: 88.4507754589, |
| median_abs_dev: 21.4977000000, |
| median_abs_dev_pct: 97.7168181818, |
| quartiles: (7.7500000000, 22.0000000000, 35.0000000000), |
| iqr: 27.2500000000, |
| }; |
| check(val, summ); |
| } |
| #[test] |
| fn test_exp25() { |
| let val = &[ |
| 3.0000000000, |
| 24.0000000000, |
| 1.0000000000, |
| 19.0000000000, |
| 7.0000000000, |
| 5.0000000000, |
| 30.0000000000, |
| 39.0000000000, |
| 31.0000000000, |
| 13.0000000000, |
| 25.0000000000, |
| 48.0000000000, |
| 1.0000000000, |
| 6.0000000000, |
| 42.0000000000, |
| 63.0000000000, |
| 2.0000000000, |
| 12.0000000000, |
| 108.0000000000, |
| 26.0000000000, |
| 1.0000000000, |
| 7.0000000000, |
| 44.0000000000, |
| 25.0000000000, |
| 11.0000000000, |
| ]; |
| let summ = &Summary { |
| sum: 593.0000000000, |
| min: 1.0000000000, |
| max: 108.0000000000, |
| mean: 23.7200000000, |
| median: 19.0000000000, |
| var: 601.0433333333, |
| std_dev: 24.5161851301, |
| std_dev_pct: 103.3565983562, |
| median_abs_dev: 19.2738000000, |
| median_abs_dev_pct: 101.4410526316, |
| quartiles: (6.0000000000, 19.0000000000, 31.0000000000), |
| iqr: 25.0000000000, |
| }; |
| check(val, summ); |
| } |
| #[test] |
| fn test_binom25() { |
| let val = &[ |
| 18.0000000000, |
| 17.0000000000, |
| 27.0000000000, |
| 15.0000000000, |
| 21.0000000000, |
| 25.0000000000, |
| 17.0000000000, |
| 24.0000000000, |
| 25.0000000000, |
| 24.0000000000, |
| 26.0000000000, |
| 26.0000000000, |
| 23.0000000000, |
| 15.0000000000, |
| 23.0000000000, |
| 17.0000000000, |
| 18.0000000000, |
| 18.0000000000, |
| 21.0000000000, |
| 16.0000000000, |
| 15.0000000000, |
| 31.0000000000, |
| 20.0000000000, |
| 17.0000000000, |
| 15.0000000000, |
| ]; |
| let summ = &Summary { |
| sum: 514.0000000000, |
| min: 15.0000000000, |
| max: 31.0000000000, |
| mean: 20.5600000000, |
| median: 20.0000000000, |
| var: 20.8400000000, |
| std_dev: 4.5650848842, |
| std_dev_pct: 22.2037202539, |
| median_abs_dev: 5.9304000000, |
| median_abs_dev_pct: 29.6520000000, |
| quartiles: (17.0000000000, 20.0000000000, 24.0000000000), |
| iqr: 7.0000000000, |
| }; |
| check(val, summ); |
| } |
| #[test] |
| fn test_pois25lambda30() { |
| let val = &[ |
| 27.0000000000, |
| 33.0000000000, |
| 34.0000000000, |
| 34.0000000000, |
| 24.0000000000, |
| 39.0000000000, |
| 28.0000000000, |
| 27.0000000000, |
| 31.0000000000, |
| 28.0000000000, |
| 38.0000000000, |
| 21.0000000000, |
| 33.0000000000, |
| 36.0000000000, |
| 29.0000000000, |
| 37.0000000000, |
| 32.0000000000, |
| 34.0000000000, |
| 31.0000000000, |
| 39.0000000000, |
| 25.0000000000, |
| 31.0000000000, |
| 32.0000000000, |
| 40.0000000000, |
| 24.0000000000, |
| ]; |
| let summ = &Summary { |
| sum: 787.0000000000, |
| min: 21.0000000000, |
| max: 40.0000000000, |
| mean: 31.4800000000, |
| median: 32.0000000000, |
| var: 26.5933333333, |
| std_dev: 5.1568724372, |
| std_dev_pct: 16.3814245145, |
| median_abs_dev: 5.9304000000, |
| median_abs_dev_pct: 18.5325000000, |
| quartiles: (28.0000000000, 32.0000000000, 34.0000000000), |
| iqr: 6.0000000000, |
| }; |
| check(val, summ); |
| } |
| #[test] |
| fn test_pois25lambda40() { |
| let val = &[ |
| 42.0000000000, |
| 50.0000000000, |
| 42.0000000000, |
| 46.0000000000, |
| 34.0000000000, |
| 45.0000000000, |
| 34.0000000000, |
| 49.0000000000, |
| 39.0000000000, |
| 28.0000000000, |
| 40.0000000000, |
| 35.0000000000, |
| 37.0000000000, |
| 39.0000000000, |
| 46.0000000000, |
| 44.0000000000, |
| 32.0000000000, |
| 45.0000000000, |
| 42.0000000000, |
| 37.0000000000, |
| 48.0000000000, |
| 42.0000000000, |
| 33.0000000000, |
| 42.0000000000, |
| 48.0000000000, |
| ]; |
| let summ = &Summary { |
| sum: 1019.0000000000, |
| min: 28.0000000000, |
| max: 50.0000000000, |
| mean: 40.7600000000, |
| median: 42.0000000000, |
| var: 34.4400000000, |
| std_dev: 5.8685603004, |
| std_dev_pct: 14.3978417577, |
| median_abs_dev: 5.9304000000, |
| median_abs_dev_pct: 14.1200000000, |
| quartiles: (37.0000000000, 42.0000000000, 45.0000000000), |
| iqr: 8.0000000000, |
| }; |
| check(val, summ); |
| } |
| #[test] |
| fn test_pois25lambda50() { |
| let val = &[ |
| 45.0000000000, |
| 43.0000000000, |
| 44.0000000000, |
| 61.0000000000, |
| 51.0000000000, |
| 53.0000000000, |
| 59.0000000000, |
| 52.0000000000, |
| 49.0000000000, |
| 51.0000000000, |
| 51.0000000000, |
| 50.0000000000, |
| 49.0000000000, |
| 56.0000000000, |
| 42.0000000000, |
| 52.0000000000, |
| 51.0000000000, |
| 43.0000000000, |
| 48.0000000000, |
| 48.0000000000, |
| 50.0000000000, |
| 42.0000000000, |
| 43.0000000000, |
| 42.0000000000, |
| 60.0000000000, |
| ]; |
| let summ = &Summary { |
| sum: 1235.0000000000, |
| min: 42.0000000000, |
| max: 61.0000000000, |
| mean: 49.4000000000, |
| median: 50.0000000000, |
| var: 31.6666666667, |
| std_dev: 5.6273143387, |
| std_dev_pct: 11.3913245723, |
| median_abs_dev: 4.4478000000, |
| median_abs_dev_pct: 8.8956000000, |
| quartiles: (44.0000000000, 50.0000000000, 52.0000000000), |
| iqr: 8.0000000000, |
| }; |
| check(val, summ); |
| } |
| #[test] |
| fn test_unif25() { |
| let val = &[ |
| 99.0000000000, |
| 55.0000000000, |
| 92.0000000000, |
| 79.0000000000, |
| 14.0000000000, |
| 2.0000000000, |
| 33.0000000000, |
| 49.0000000000, |
| 3.0000000000, |
| 32.0000000000, |
| 84.0000000000, |
| 59.0000000000, |
| 22.0000000000, |
| 86.0000000000, |
| 76.0000000000, |
| 31.0000000000, |
| 29.0000000000, |
| 11.0000000000, |
| 41.0000000000, |
| 53.0000000000, |
| 45.0000000000, |
| 44.0000000000, |
| 98.0000000000, |
| 98.0000000000, |
| 7.0000000000, |
| ]; |
| let summ = &Summary { |
| sum: 1242.0000000000, |
| min: 2.0000000000, |
| max: 99.0000000000, |
| mean: 49.6800000000, |
| median: 45.0000000000, |
| var: 1015.6433333333, |
| std_dev: 31.8691595957, |
| std_dev_pct: 64.1488719719, |
| median_abs_dev: 45.9606000000, |
| median_abs_dev_pct: 102.1346666667, |
| quartiles: (29.0000000000, 45.0000000000, 79.0000000000), |
| iqr: 50.0000000000, |
| }; |
| check(val, summ); |
| } |
| |
| #[test] |
| fn test_sum_f64s() { |
| assert_eq!([0.5f64, 3.2321f64, 1.5678f64].sum(), 5.2999); |
| } |
| #[test] |
| fn test_sum_f64_between_ints_that_sum_to_0() { |
| assert_eq!([1e30f64, 1.2f64, -1e30f64].sum(), 1.2); |
| } |
| |
| #[bench] |
| pub fn sum_three_items(b: &mut Bencher) { |
| b.iter(|| { |
| [1e20f64, 1.5f64, -1e20f64].sum(); |
| }) |
| } |
| #[bench] |
| pub fn sum_many_f64(b: &mut Bencher) { |
| let nums = [-1e30f64, 1e60, 1e30, 1.0, -1e60]; |
| let v = (0..500).map(|i| nums[i % 5]).collect::<Vec<_>>(); |
| |
| b.iter(|| { |
| v.sum(); |
| }) |
| } |
| |
| #[bench] |
| pub fn no_iter(_: &mut Bencher) {} |
