rust-average/tests/histogram.rs

118 lines
3.6 KiB
Rust

#[macro_use] extern crate average;
extern crate core;
use core::iter::Iterator;
use average::Histogram;
define_histogram!(Histogram10, 10);
#[test]
fn with_const_width() {
let mut h = Histogram10::with_const_width(0., 100.);
for i in 0..100 {
h.add(i as f64).unwrap();
}
assert_eq!(h.bins(), &[10, 10, 10, 10, 10, 10, 10, 10, 10, 10]);
}
#[test]
fn from_ranges() {
let mut h = Histogram10::from_ranges(
[0., 0.1, 0.2, 0.3, 0.4, 0.5, 0.7, 0.8, 0.9, 1.0, 2.0].iter().cloned()).unwrap();
for &i in &[0.05, 0.7, 1.0, 1.5] {
h.add(i).unwrap();
}
assert_eq!(h.bins(), &[1, 0, 0, 0, 0, 0, 1, 0, 0, 2]);
}
#[test]
fn iter() {
let mut h = Histogram10::from_ranges(
[0., 0.1, 0.2, 0.3, 0.4, 0.5, 0.7, 0.8, 0.9, 1.0, 2.0].iter().cloned()).unwrap();
for &i in &[0.05, 0.7, 1.0, 1.5] {
h.add(i).unwrap();
}
let iterated: Vec<((f64, f64), u64)> = h.iter().collect();
assert_eq!(&iterated, &[
((0., 0.1), 1), ((0.1, 0.2), 0), ((0.2, 0.3), 0), ((0.3, 0.4), 0),
((0.4, 0.5), 0), ((0.5, 0.7), 0), ((0.7, 0.8), 1), ((0.8, 0.9), 0),
((0.9, 1.0), 0), ((1.0, 2.0), 2)
]);
}
#[test]
fn normalized_bins() {
let inf = std::f64::INFINITY;
let mut h = Histogram10::from_ranges(
[-inf, 0.1, 0.2, 0.3, 0.4, 0.4, 0.7, 0.8, 0.9, 1.0, inf].iter().cloned()).unwrap();
for &i in &[0.05, 0.1, 0.7, 1.0, 1.5] {
h.add(i).unwrap();
}
let normalized: Vec<f64> = h.normalized_bins().collect();
let expected = [0., 10., 0., 0., 0., 0., 10., 0., 0., 0.];
for (a, b) in normalized.iter().zip(expected.iter()) {
assert_almost_eq!(a, b, 1e-14);
}
}
#[test]
fn widths() {
let inf = std::f64::INFINITY;
let h = Histogram10::from_ranges(
[-inf, 0.1, 0.2, 0.3, 0.4, 0.4, 0.7, 0.8, 0.9, 1.0, inf].iter().cloned()).unwrap();
let widths: Vec<f64> = h.widths().collect();
let expected = [inf, 0.1, 0.1, 0.1, 0., 0.3, 0.1, 0.1, 0.1, inf];
for (a, b) in widths.iter().zip(expected.iter()) {
assert_almost_eq!(a, b, 1e-14);
}
}
#[test]
fn from_ranges_infinity() {
let inf = std::f64::INFINITY;
let mut h = Histogram10::from_ranges(
[-inf, -0.4, -0.3, -0.2, -0.1, 0.0, 0.1, 0.2, 0.3, 0.4, inf].iter().cloned()).unwrap();
for &i in &[-100., -0.45, 0., 0.25, 0.4, 100.] {
h.add(i).unwrap();
}
assert_eq!(h.bins(), &[2, 0, 0, 0, 0, 1, 0, 1, 0, 2]);
}
#[test]
fn from_ranges_invalid() {
assert!(Histogram10::from_ranges([].iter().cloned()).is_err());
let valid = vec![0., 0.1, 0.2, 0.3, 0.4, 0.5, 0.7, 0.8, 0.9, 1.0, 2.0];
assert!(Histogram10::from_ranges(valid.iter().cloned()).is_ok());
let mut invalid_nan = valid.clone();
invalid_nan[3] = std::f64::NAN;
assert!(Histogram10::from_ranges(invalid_nan.iter().cloned()).is_err());
let mut invalid_order = valid.clone();
invalid_order[10] = 0.9;
assert!(Histogram10::from_ranges(invalid_order.iter().cloned()).is_err());
let mut valid_empty_ranges = valid.clone();
valid_empty_ranges[1] = 0.;
valid_empty_ranges[10] = 1.;
}
#[test]
fn from_ranges_empty() {
let mut h = Histogram10::from_ranges(
[0., 0., 0.2, 0.3, 0.4, 0.5, 0.5, 0.8, 0.9, 2.0, 2.0].iter().cloned()).unwrap();
for &i in &[0.05, 0.7, 1.0, 1.5] {
h.add(i).unwrap();
}
assert_eq!(h.bins(), &[0, 1, 0, 0, 0, 0, 1, 0, 2, 0]);
}
#[test]
fn out_of_range() {
let mut h = Histogram10::with_const_width(0., 100.);
assert_eq!(h.add(-0.1), Err(()));
assert_eq!(h.add(0.0), Ok(()));
assert_eq!(h.add(1.0), Ok(()));
assert_eq!(h.add(100.0), Err(()));
assert_eq!(h.add(100.1), Err(()));
}