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Add uniformity test for unit sphere and circle
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#[macro_use] | ||
extern crate average; | ||
extern crate rand; | ||
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use std as core; | ||
use rand::FromEntropy; | ||
use rand::distributions::Distribution; | ||
use average::Histogram; | ||
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const N_BINS: usize = 100; | ||
const N_SAMPLES: u32 = 1_000_000; | ||
const TOL: f64 = 1e-3; | ||
define_histogram!(hist, 100); | ||
use hist::Histogram as Histogram100; | ||
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#[test] | ||
fn unit_sphere() { | ||
const N_DIM: usize = 3; | ||
let h = Histogram100::with_const_width(-1., 1.); | ||
let mut histograms = [h.clone(), h.clone(), h]; | ||
let dist = rand::distributions::UnitSphereSurface::new(); | ||
let mut rng = rand::rngs::SmallRng::from_entropy(); | ||
for _ in 0..N_SAMPLES { | ||
let v = dist.sample(&mut rng); | ||
for i in 0..N_DIM { | ||
histograms[i].add(v[i]).map_err( | ||
|e| { println!("v: {}", v[i]); e } | ||
).unwrap(); | ||
} | ||
} | ||
for h in &histograms { | ||
let sum: u64 = h.bins().iter().sum(); | ||
println!("{:?}", h); | ||
for &b in h.bins() { | ||
let p = (b as f64) / (sum as f64); | ||
assert!((p - 1.0 / (N_BINS as f64)).abs() < TOL, "{}", p); | ||
} | ||
} | ||
} | ||
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#[test] | ||
fn unit_circle() { | ||
use ::std::f64::consts::PI; | ||
let mut h = Histogram100::with_const_width(-PI, PI); | ||
let dist = rand::distributions::UnitCircle::new(); | ||
let mut rng = rand::rngs::SmallRng::from_entropy(); | ||
for _ in 0..N_SAMPLES { | ||
let v = dist.sample(&mut rng); | ||
h.add(v[0].atan2(v[1])).unwrap(); | ||
} | ||
let sum: u64 = h.bins().iter().sum(); | ||
println!("{:?}", h); | ||
for &b in h.bins() { | ||
let p = (b as f64) / (sum as f64); | ||
assert!((p - 1.0 / (N_BINS as f64)).abs() < TOL, "{}", p); | ||
} | ||
} |