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criterion-based benchmarks
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.gitignore

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.idea
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**/.DS_Store
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.vscode
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flamegraph.svg

Cargo.toml

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[package]
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name = "isosurface"
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version = "0.0.4"
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authors = ["Tristam MacDonald <swiftcoder@gmail.com>"]
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license = "Apache-2.0"
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description = "Isosurface extraction algorithms"
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repository = "https://github.com/swiftcoder/isosurface"
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readme = "README.md"
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edition = "2018"
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license = "Apache-2.0"
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name = "isosurface"
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readme = "README.md"
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repository = "https://github.com/swiftcoder/isosurface"
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version = "0.0.4"
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[dev-dependencies]
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cgmath = "^0.17"
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criterion = "0.3"
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glium = "^0.26"
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glium_text_rusttype = "^0.3"
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cgmath = "^0.17"
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[profile.dev]
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opt-level = 2
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[profile.release]
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opt-level = 3
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lto = true
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[[bench]]
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name = "isosurface"
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harness = false

benches/isosurface.rs

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use criterion::{criterion_group, criterion_main, Criterion};
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use isosurface::{
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linear_hashed_marching_cubes::LinearHashedMarchingCubes, marching_cubes::MarchingCubes,
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source::Source,
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};
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fn torus(x: f32, y: f32, z: f32) -> f32 {
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const R1: f32 = 1.0 / 4.0;
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const R2: f32 = 1.0 / 10.0;
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let q_x = ((x * x + y * y).sqrt()).abs() - R1;
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let len = (q_x * q_x + z * z).sqrt();
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len - R2
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}
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pub struct Torus {}
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impl Source for Torus {
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fn sample(&self, x: f32, y: f32, z: f32) -> f32 {
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torus(x - 0.5, y - 0.5, z - 0.5)
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}
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}
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fn marching_cubes() {
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let torus = Torus {};
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let mut vertices = vec![];
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let mut indices = vec![];
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let mut marching_cubes = MarchingCubes::new(256);
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marching_cubes.extract(&torus, &mut vertices, &mut indices);
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}
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fn linear_hashed_marching_cubes() {
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let torus = Torus {};
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let mut vertices = vec![];
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let mut indices = vec![];
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let mut marching_cubes = LinearHashedMarchingCubes::new(8);
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marching_cubes.extract(&torus, &mut vertices, &mut indices);
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}
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fn marching_cubes_benchmark(c: &mut Criterion) {
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c.bench_function("marching cubes", |b| b.iter(|| marching_cubes()));
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c.bench_function("linear hashed marching cubes", |b| {
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b.iter(|| linear_hashed_marching_cubes())
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});
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}
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criterion_group!(benches, marching_cubes_benchmark);
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criterion_main!(benches);

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