rust-average/tests/kurtosis.rs
Vinzent Steinberg e4345f5046 impl FromIterator<&f64> and FromIterator<&(f64, f64)>
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.
2018-02-28 23:44:40 +01:00

79 lines
2.6 KiB
Rust

#![cfg_attr(feature = "cargo-clippy", allow(float_cmp, map_clone))]
#[macro_use] extern crate average;
extern crate core;
#[cfg(feature = "serde")]
extern crate serde_json;
use core::iter::Iterator;
use average::{Kurtosis, Estimate, Merge};
#[test]
fn trivial() {
let mut a = Kurtosis::new();
assert_eq!(a.len(), 0);
a.add(1.0);
assert_eq!(a.mean(), 1.0);
assert_eq!(a.len(), 1);
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);
a.add(1.0);
assert_eq!(a.mean(), 1.0);
assert_eq!(a.len(), 2);
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: Kurtosis = (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);
assert_almost_eq!(a.kurtosis(), -1.365, 1e-15);
}
#[cfg(feature = "serde")]
#[test]
fn simple_serde() {
let a: Kurtosis = (1..6).map(f64::from).collect();
let b = serde_json::to_string(&a).unwrap();
assert_eq!(&b, "{\"avg\":{\"avg\":{\"avg\":{\"avg\":3.0,\"n\":5},\"sum_2\":10.0},\"sum_3\":0.0},\"sum_4\":34.0}");
let mut c: Kurtosis = 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);
assert_almost_eq!(c.kurtosis(), -1.365, 1e-15);
}
#[test]
fn merge() {
let sequence: &[f64] = &[1., 2., 3., -4., 5.1, 6.3, 7.3, -8., 9., 1.];
for mid in 0..sequence.len() {
let (left, right) = sequence.split_at(mid);
let avg_total: Kurtosis = sequence.iter().collect();
let mut avg_left: Kurtosis = left.iter().collect();
let avg_right: Kurtosis = 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);
assert_almost_eq!(avg_total.kurtosis(), avg_left.kurtosis(), 1e-14);
}
}