Implement a basic Sierpinski Gasket IFS
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This commit is contained in:
2026-06-22 20:46:47 -04:00
parent 90f886f971
commit beb1c8526f
8 changed files with 1103 additions and 56 deletions
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use glam::{vec2, Vec2};
use rand::distr::{Distribution, StandardUniform};
use rand::{Rng, RngExt};
use crate::transform::Transform;
struct BiUnit;
impl Distribution<f32> for BiUnit {
fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> f32 {
rng.sample::<f32, _>(StandardUniform) * 2.0 - 1.0
}
}
/// Iterate one step in the chaos game; choose the next transform, apply it,
/// and return the resulting point. Also returns the transform index so that
/// path-dependent weights (the "Xaos" table in Apophysis) can be chosen
/// for the next iteration step.
///
/// # Arguments
///
/// * `weights` - Weights are assumed to be normalized; adding all elements together should return the value 1
pub fn step_chaos_game<R: Rng>(
point: Vec2,
rng: &mut R,
transforms: &[Transform],
weights: &[f32],
) -> (Vec2, u32) {
let mut choice_weight = rng.sample::<f32, _>(StandardUniform);
let mut transform_index: u32 = 0;
for weight in weights {
choice_weight -= weight;
if choice_weight <= 0.0 {
break;
}
transform_index += 1;
}
(
transforms[transform_index as usize].transform_point(point),
transform_index,
)
}
pub struct ChaosGame<'a, R: Rng> {
current_point: Vec2,
rng: &'a mut R,
transforms: &'a [Transform],
weights: &'a [f32],
}
impl<'a, R: Rng> ChaosGame<'a, R> {
pub fn new(rng: &'a mut R, transforms: &'a [Transform], weights: &'a [f32]) -> Self {
let current_point = vec2(rng.sample(BiUnit), rng.sample(BiUnit));
ChaosGame { current_point, rng, transforms, weights }
}
}
impl<'a, R: Rng> Iterator for ChaosGame<'a, R> {
type Item = Vec2;
fn next(&mut self) -> Option<Self::Item> {
let (next_point, _) = step_chaos_game(self.current_point, self.rng, self.transforms, self.weights);
self.current_point = next_point;
Some(next_point)
}
}