-
Notifications
You must be signed in to change notification settings - Fork 11
/
skewness.rs
106 lines (99 loc) · 3.18 KB
/
skewness.rs
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
use core::iter::Iterator;
use average::{assert_almost_eq, Estimate, Merge, Skewness};
#[test]
fn trivial() {
let mut a = Skewness::new();
assert_eq!(a.len(), 0);
assert!(a.mean().is_nan());
assert!(a.sample_variance().is_nan());
assert!(a.population_variance().is_nan());
assert!(a.error_mean().is_nan());
assert!(a.skewness().is_nan());
a.add(1.0);
assert_eq!(a.len(), 1);
assert_eq!(a.mean(), 1.0);
assert!(a.sample_variance().is_nan());
assert_eq!(a.population_variance(), 0.0);
assert_eq!(a.error_mean(), 0.0);
assert_eq!(a.skewness(), 0.0);
a.add(1.0);
assert_eq!(a.len(), 2);
assert_eq!(a.mean(), 1.0);
assert_eq!(a.sample_variance(), 0.0);
assert_eq!(a.population_variance(), 0.0);
assert_eq!(a.error_mean(), 0.0);
assert_eq!(a.skewness(), 0.0);
}
#[test]
fn simple() {
let mut a: Skewness = (1..6).map(f64::from).collect();
assert_eq!(a.mean(), 3.0);
assert_eq!(a.len(), 5);
assert_eq!(a.sample_variance(), 2.5);
assert_almost_eq!(a.error_mean(), f64::sqrt(0.5), 1e-16);
assert_eq!(a.skewness(), 0.0);
a.add(1.0);
assert_almost_eq!(a.skewness(), 0.2795084971874741, 1e-15);
}
#[test]
fn simple_extend() {
let mut a = Skewness::new();
a.extend((1..6).map(f64::from));
assert_eq!(a.mean(), 3.0);
assert_eq!(a.len(), 5);
assert_eq!(a.sample_variance(), 2.5);
assert_almost_eq!(a.error_mean(), f64::sqrt(0.5), 1e-16);
assert_eq!(a.skewness(), 0.0);
a.add(1.0);
assert_almost_eq!(a.skewness(), 0.2795084971874741, 1e-15);
}
#[cfg(feature = "serde1")]
#[test]
fn simple_serde() {
let a: Skewness = (1..6).map(f64::from).collect();
let b = serde_json::to_string(&a).unwrap();
assert_eq!(
&b,
"{\"avg\":{\"avg\":{\"avg\":3.0,\"n\":5},\"sum_2\":10.0},\"sum_3\":0.0}"
);
let mut c: Skewness = serde_json::from_str(&b).unwrap();
assert_eq!(c.mean(), 3.0);
assert_eq!(c.len(), 5);
assert_eq!(c.sample_variance(), 2.5);
assert_almost_eq!(c.error_mean(), f64::sqrt(0.5), 1e-16);
assert_eq!(c.skewness(), 0.0);
c.add(1.0);
assert_almost_eq!(c.skewness(), 0.2795084971874741, 1e-15);
}
#[test]
fn merge() {
let sequence: &[f64] = &[1., 2., 3., -4., 5., 6., 7., 8., 9., 1.];
for mid in 0..sequence.len() {
let (left, right) = sequence.split_at(mid);
let avg_total: Skewness = sequence.iter().collect();
let mut avg_left: Skewness = left.iter().collect();
let avg_right: Skewness = right.iter().collect();
avg_left.merge(&avg_right);
assert_eq!(avg_total.len(), avg_left.len());
assert_almost_eq!(avg_total.mean(), avg_left.mean(), 1e-14);
assert_almost_eq!(
avg_total.sample_variance(),
avg_left.sample_variance(),
1e-14
);
assert_almost_eq!(avg_total.skewness(), avg_left.skewness(), 1e-14);
}
}
#[test]
fn merge_empty() {
let mut left = Skewness::new();
let right = Skewness::new();
left.merge(&right);
assert_eq!(left.len(), 0);
left.add(1.);
left.add(1.);
left.add(1.);
assert_eq!(left.mean(), 1.);
assert_eq!(left.sample_variance(), 0.);
assert_eq!(left.skewness(), 0.);
}