And I forgot to run the benchmarks after rebasing
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3 changed files with 7 additions and 10 deletions
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@ -1,6 +1,5 @@
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// Perlin noise benchmark from https://gist.github.com/1170424
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use std::f32;
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use std::float;
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use std::int;
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use std::rand::{Rng, RngUtil};
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@ -20,8 +19,8 @@ fn smooth(v: f32) -> f32 { v * v * (3.0 - 2.0 * v) }
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fn random_gradient<R:Rng>(r: &mut R) -> Vec2 {
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let v = 2.0 * float::consts::pi * r.gen();
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Vec2 {
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x: float::cos(v) as f32,
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y: float::sin(v) as f32,
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x: v.cos() as f32,
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y: v.sin() as f32,
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}
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}
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@ -66,8 +65,8 @@ impl Noise2DContext {
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origins: &mut [Vec2, ..4],
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x: f32,
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y: f32) {
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let x0f = f32::floor(x);
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let y0f = f32::floor(y);
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let x0f = x.floor();
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let y0f = y.floor();
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let x0 = x0f as int;
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let y0 = y0f as int;
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let x1 = x0 + 1;
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@ -1,4 +1,3 @@
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use std::f64;
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use std::from_str::FromStr;
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use std::os;
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use std::uint::range;
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@ -90,7 +89,7 @@ fn advance(bodies: &mut [Planet, ..N_BODIES], dt: f64, steps: i32) {
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d[2] = bodies[i].x[2] - bodies[j].x[2];
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let d2 = d[0]*d[0] + d[1]*d[1] + d[2]*d[2];
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let mag = dt / (d2 * f64::sqrt(d2));
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let mag = dt / (d2 * d2.sqrt());
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let a_mass = bodies[i].mass;
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let b_mass = bodies[j].mass;
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@ -124,7 +123,7 @@ fn energy(bodies: &[Planet, ..N_BODIES]) -> f64 {
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for range(0, 3) |k| {
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d[k] = bodies[i].x[k] - bodies[j].x[k];
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}
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let dist = f64::sqrt(d[0]*d[0] + d[1]*d[1] + d[2]*d[2]);
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let dist = (d[0]*d[0] + d[1]*d[1] + d[2]*d[2]).sqrt();
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e -= bodies[i].mass * bodies[j].mass / dist;
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}
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}
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@ -8,7 +8,6 @@
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// option. This file may not be copied, modified, or distributed
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// except according to those terms.
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use std::f64;
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use std::from_str::FromStr;
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use std::os;
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use std::vec;
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@ -62,5 +61,5 @@ fn main() {
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mult_AtAv(v, u, tmp);
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}
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println(fmt!("%.9f", f64::sqrt(dot(u,v) / dot(v,v)) as float));
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println(fmt!("%.9f", (dot(u,v) / dot(v,v)).sqrt() as float));
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}
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