e4345f5046
This allows to write
let k: Kurtosis = a.iter().collect();
instead of
let k: Kurtosis = a.iter().map(|x| *x).collect();
but breaks type inference for code like
let m: Min = (1..6).map(Into::into).collect();
where
let m: Min = (1..6).map(f64::from).collect();
has to be used instead.
Fixes #8.
95 lines
3.2 KiB
Rust
95 lines
3.2 KiB
Rust
#![cfg_attr(feature = "cargo-clippy", allow(float_cmp, map_clone))]
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#[macro_use] extern crate average;
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extern crate core;
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#[cfg(feature = "serde")]
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extern crate serde_json;
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use core::iter::Iterator;
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use average::{Moments, Merge};
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#[test]
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fn trivial() {
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let mut a = Moments::new();
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assert_eq!(a.len(), 0);
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a.add(1.0);
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assert_eq!(a.len(), 1);
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assert_eq!(a.mean(), 1.0);
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assert_eq!(a.central_moment(0), 1.0);
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assert_eq!(a.central_moment(1), 0.0);
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assert_eq!(a.central_moment(2), 0.0);
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assert_eq!(a.central_moment(3), 0.0);
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a.add(1.0);
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assert_eq!(a.len(), 2);
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assert_eq!(a.mean(), 1.0);
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assert_eq!(a.central_moment(0), 1.0);
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assert_eq!(a.central_moment(1), 0.0);
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assert_eq!(a.central_moment(2), 0.0);
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assert_eq!(a.central_moment(3), 0.0);
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}
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#[test]
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fn simple() {
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let mut a: Moments = (1..6).map(f64::from).collect();
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assert_eq!(a.len(), 5);
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assert_eq!(a.mean(), 3.0);
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assert_eq!(a.central_moment(0), 1.0);
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assert_eq!(a.central_moment(1), 0.0);
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// variance
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assert_eq!(a.central_moment(2), 2.0);
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assert_eq!(a.standardized_moment(0), 5.0);
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assert_eq!(a.standardized_moment(1), 0.0);
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assert_eq!(a.standardized_moment(2), 1.0);
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assert_almost_eq!(a.sample_skewness(), 0.0, 1e-15);
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assert_almost_eq!(a.standardized_moment(3), 0.0, 1e-15);
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a.add(1.0);
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// skewness
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assert_almost_eq!(a.standardized_moment(3), 0.2795084971874741, 1e-15);
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// kurtosis
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assert_almost_eq!(a.standardized_moment(4), -1.365 + 3.0, 1e-14);
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}
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#[cfg(feature = "serde")]
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#[test]
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fn simple_serde() {
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let a: Moments = (1..6).map(f64::from).collect();
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let b = serde_json::to_string(&a).unwrap();
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assert_eq!(&b, "{\"n\":5,\"avg\":3.0,\"m\":[10.0,1.7763568394002506e-15,34.00000000000001]}");
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let mut c: Moments = serde_json::from_str(&b).unwrap();
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assert_eq!(c.len(), 5);
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assert_eq!(c.mean(), 3.0);
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assert_eq!(c.central_moment(0), 1.0);
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assert_eq!(c.central_moment(1), 0.0);
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// variance
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assert_eq!(c.central_moment(2), 2.0);
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assert_eq!(c.standardized_moment(0), 5.0);
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assert_eq!(c.standardized_moment(1), 0.0);
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assert_eq!(c.standardized_moment(2), 1.0);
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assert_almost_eq!(c.sample_skewness(), 0.0, 1e-15);
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assert_almost_eq!(c.standardized_moment(3), 0.0, 1e-15);
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c.add(1.0);
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// skewness
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assert_almost_eq!(c.standardized_moment(3), 0.2795084971874741, 1e-15);
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// kurtosis
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assert_almost_eq!(c.standardized_moment(4), -1.365 + 3.0, 1e-14);
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}
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#[test]
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fn merge() {
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let sequence: &[f64] = &[1., 2., 3., -4., 5.1, 6.3, 7.3, -8., 9., 1.];
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for mid in 0..sequence.len() {
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let (left, right) = sequence.split_at(mid);
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let avg_total: Moments = sequence.iter().collect();
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let mut avg_left: Moments = left.iter().collect();
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let avg_right: Moments = right.iter().collect();
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avg_left.merge(&avg_right);
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assert_eq!(avg_total.len(), avg_left.len());
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assert_almost_eq!(avg_total.mean(), avg_left.mean(), 1e-14);
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assert_almost_eq!(avg_total.central_moment(2), avg_left.central_moment(2), 1e-14);
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assert_almost_eq!(avg_total.central_moment(3), avg_left.central_moment(3), 1e-13);
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assert_almost_eq!(avg_total.central_moment(4), avg_left.central_moment(4), 1e-12);
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}
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}
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