Added benchmarks to find the most appropriate data structure

Cargo.toml

@@ -11,3 +11,9 @@ env_logger = "0.10.0"
 pollster = "0.3.0"
 wgpu = "0.17.0"
 winit = "0.28.6"
+criterion = { version = "0.4", features = ["html_reports"] }
+
+
+[[bench]]
+name = "voxel_map_benchmark"
+harness = false

benches/voxel_map_benchmark.rs

@@ -0,0 +1,37 @@
+use criterion::{black_box, criterion_group, criterion_main, Criterion};
+
+const MAP_WIDTH: usize = 100;
+const MAP_HEIGHT: usize = 100;
+const MAP_DEPTH: usize = 100;
+
+#[derive(Clone, Copy, Debug)]
+struct Voxel {
+    r: u8, g: u8, b: u8
+}
+
+fn voxel_vec_1d(data: Vec<Voxel>) -> Voxel {
+    const X: usize = 0;
+    const Y: usize = 0;
+    const Z: usize = 0;
+
+    return data[X + Y * MAP_WIDTH + Z * MAP_WIDTH * MAP_HEIGHT];
+}
+
+fn voxel_vec_3d(data: Vec<Vec<Vec<Voxel>>>) -> Voxel {
+    const X: usize = 0;
+    const Y: usize = 0;
+    const Z: usize = 0;
+
+    return data[X][Y][Z];
+}
+
+fn criterion_benchmark(c: &mut Criterion) {
+    let vec_1d = vec![Voxel { r: 0, g: 0, b: 0 }; MAP_WIDTH * MAP_HEIGHT * MAP_DEPTH];
+    let vec_3d = vec![vec![vec![Voxel { r: 0, g: 0, b: 0 }; MAP_DEPTH]; MAP_HEIGHT]; MAP_WIDTH];
+
+    c.bench_function("voxels in 1d vector", |b| b.iter(|| voxel_vec_1d(black_box(vec_1d.clone()))));
+    c.bench_function("voxels in 3d vector", |b| b.iter(|| voxel_vec_3d(black_box(vec_3d.clone()))));
+}
+
+criterion_group!(benches, criterion_benchmark);
+criterion_main!(benches);

src/voxel.rs

@@ -1,8 +1,6 @@
 #[derive(PartialEq, Clone, Copy, Debug)]
 struct Voxel {
-    r: u8,
-    g: u8,
-    b: u8
+    r: u8, g: u8, b: u8
 }
 
 const AIR_VOXEL: Voxel = Voxel { r: 0, g: 0, b: 0 };