// Copyright 2018 Developers of the Rand project. // // Licensed under the Apache License, Version 2.0 or the MIT license // , at your // option. This file may not be copied, modified, or distributed // except according to those terms. #![allow(deprecated)] #![allow(clippy::all)] use crate::Rng; use crate::distributions::{Distribution, Uniform}; /// Samples uniformly from the edge of the unit circle in two dimensions. /// /// Implemented via a method by von Neumann[^1]. /// /// [^1]: von Neumann, J. (1951) [*Various Techniques Used in Connection with /// Random Digits.*](https://mcnp.lanl.gov/pdf_files/nbs_vonneumann.pdf) /// NBS Appl. Math. Ser., No. 12. Washington, DC: U.S. Government Printing /// Office, pp. 36-38. #[deprecated(since="0.7.0", note="moved to rand_distr crate")] #[derive(Clone, Copy, Debug)] pub struct UnitCircle; impl UnitCircle { /// Construct a new `UnitCircle` distribution. #[inline] pub fn new() -> UnitCircle { UnitCircle } } impl Distribution<[f64; 2]> for UnitCircle { #[inline] fn sample(&self, rng: &mut R) -> [f64; 2] { let uniform = Uniform::new(-1., 1.); let mut x1; let mut x2; let mut sum; loop { x1 = uniform.sample(rng); x2 = uniform.sample(rng); sum = x1*x1 + x2*x2; if sum < 1. { break; } } let diff = x1*x1 - x2*x2; [diff / sum, 2.*x1*x2 / sum] } } #[cfg(test)] mod tests { use crate::distributions::Distribution; use super::UnitCircle; /// Assert that two numbers are almost equal to each other. /// /// On panic, this macro will print the values of the expressions with their /// debug representations. macro_rules! assert_almost_eq { ($a:expr, $b:expr, $prec:expr) => ( let diff = ($a - $b).abs(); if diff > $prec { panic!(format!( "assertion failed: `abs(left - right) = {:.1e} < {:e}`, \ (left: `{}`, right: `{}`)", diff, $prec, $a, $b)); } ); } #[test] fn norm() { let mut rng = crate::test::rng(1); let dist = UnitCircle::new(); for _ in 0..1000 { let x = dist.sample(&mut rng); assert_almost_eq!(x[0]*x[0] + x[1]*x[1], 1., 1e-15); } } #[test] fn value_stability() { let mut rng = crate::test::rng(2); let expected = [ [-0.9965658683520504, -0.08280380447614634], [-0.9790853270389644, -0.20345004884984505], [-0.8449189758898707, 0.5348943112253227], ]; let samples = [ UnitCircle.sample(&mut rng), UnitCircle.sample(&mut rng), UnitCircle.sample(&mut rng), ]; assert_eq!(samples, expected); } }