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// Copyright 2018 Developers of the Rand project.
//
// Licensed under the Apache License, Version 2.0 <LICENSE-APACHE or
// https://www.apache.org/licenses/LICENSE-2.0> or the MIT license
// <LICENSE-MIT or https://opensource.org/licenses/MIT>, at your
// option. This file may not be copied, modified, or distributed
// except according to those terms.
use average::Histogram;
use rand::prelude::*;
const N_BINS: usize = 100;
const N_SAMPLES: u32 = 1_000_000;
const TOL: f64 = 1e-3;
average::define_histogram!(hist, 100);
use hist::Histogram as Histogram100;
#[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_distr::UnitSphere;
let mut rng = rand_pcg::Pcg32::from_entropy();
for _ in 0..N_SAMPLES {
let v: [f64; 3] = 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);
}
}
}
#[test]
fn unit_circle() {
use std::f64::consts::PI;
let mut h = Histogram100::with_const_width(-PI, PI);
let dist = rand_distr::UnitCircle;
let mut rng = rand_pcg::Pcg32::from_entropy();
for _ in 0..N_SAMPLES {
let v: [f64; 2] = 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);
}
}
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