1 files changed, 0 insertions, 99 deletions
diff --git a/rand/src/distributions/unit_sphere.rs b/rand/src/distributions/unit_sphere.rs
deleted file mode 100644
index 37de88b..0000000
--- a/rand/src/distributions/unit_sphere.rs
+++ /dev/null
@@ -1,99 +0,0 @@
-// 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 Rng;
-use distributions::{Distribution, Uniform};
-
-/// Samples uniformly from the surface of the unit sphere in three dimensions.
-///
-/// Implemented via a method by Marsaglia[^1].
-///
-///
-/// # Example
-///
-/// ```
-/// use rand::distributions::{UnitSphereSurface, Distribution};
-///
-/// let sphere = UnitSphereSurface::new();
-/// let v = sphere.sample(&mut rand::thread_rng());
-/// println!("{:?} is from the unit sphere surface.", v)
-/// ```
-///
-/// [^1]: Marsaglia, George (1972). [*Choosing a Point from the Surface of a
-///       Sphere.*](https://doi.org/10.1214/aoms/1177692644)
-///       Ann. Math. Statist. 43, no. 2, 645--646.
-#[derive(Clone, Copy, Debug)]
-pub struct UnitSphereSurface;
-
-impl UnitSphereSurface {
-    /// Construct a new `UnitSphereSurface` distribution.
-    #[inline]
-    pub fn new() -> UnitSphereSurface {
-        UnitSphereSurface
-    }
-}
-
-impl Distribution<[f64; 3]> for UnitSphereSurface {
-    #[inline]
-    fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> [f64; 3] {
-        let uniform = Uniform::new(-1., 1.);
-        loop {
-            let (x1, x2) = (uniform.sample(rng), uniform.sample(rng));
-            let sum = x1*x1 + x2*x2;
-            if sum >= 1. {
-                continue;
-            }
-            let factor = 2. * (1.0_f64 - sum).sqrt();
-            return [x1 * factor, x2 * factor, 1. - 2.*sum];
-        }
-    }
-}
-
-#[cfg(test)]
-mod tests {
-    use distributions::Distribution;
-    use super::UnitSphereSurface;
-
-    /// 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 = ::test::rng(1);
-        let dist = UnitSphereSurface::new();
-        for _ in 0..1000 {
-            let x = dist.sample(&mut rng);
-            assert_almost_eq!(x[0]*x[0] + x[1]*x[1] + x[2]*x[2], 1., 1e-15);
-        }
-    }
-
-    #[test]
-    fn value_stability() {
-        let mut rng = ::test::rng(2);
-        let dist = UnitSphereSurface::new();
-        assert_eq!(dist.sample(&mut rng),
-                   [-0.24950027180862533, -0.7552572587896719, 0.6060825747478084]);
-        assert_eq!(dist.sample(&mut rng),
-                   [0.47604534507233487, -0.797200864987207, -0.3712837328763685]);
-        assert_eq!(dist.sample(&mut rng),
-                   [0.9795722330927367, 0.18692349236651176, 0.07414747571708524]);
-    }
-}