diff options
Diffstat (limited to 'rand/rand_distr/tests')
| -rw-r--r-- | rand/rand_distr/tests/uniformity.rs | 59 | 
1 files changed, 59 insertions, 0 deletions
diff --git a/rand/rand_distr/tests/uniformity.rs b/rand/rand_distr/tests/uniformity.rs new file mode 100644 index 0000000..d0d9d97 --- /dev/null +++ b/rand/rand_distr/tests/uniformity.rs @@ -0,0 +1,59 @@ +// 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); +    } +}  | 
