Struct noise_functions::NoiseFn

pub struct NoiseFn<F>(pub F);

Wraps a function to make it implement Sample.

The function is expected to take one parameter for the point and optionally a seed parameter.

With a seed parameter it can be used for fractals:

use noise_functions::{ NoiseFn, Sample2, OpenSimplex2s };

let warped = NoiseFn(|point: [f32; 2], seed: i32| {
    let warp_x = OpenSimplex2s.seed(seed + 100).sample2(point);
    let warp_y = OpenSimplex2s.seed(seed + 200).sample2(point);
    let warped = [point[0] + warp_x, point[1] + warp_y];
    OpenSimplex2s.sample2(warped)
});

let warped_fbm = warped.fbm(3, 0.5, 2.0);

let value = warped_fbm.sample2([1.0, 2.0]);

Tuple Fields

0: F

Implementations

impl<F> NoiseFn<F>

pub const fn seed(self, seed: i32) -> Seeded<Self>

pub const fn frequency(self, frequency: f32) -> Frequency<Self>

pub const fn fbm(self, octaves: u32, gain: f32, lacunarity: f32) -> Fbm<Self>

This function is const if the feature nightly-const-fn-float is enabled.

pub const fn ridged( self, octaves: u32, gain: f32, lacunarity: f32 ) -> Ridged<Self>

This function is const if the feature nightly-const-fn-float is enabled.

pub const fn ping_pong( self, octaves: u32, gain: f32, lacunarity: f32, strength: f32 ) -> PingPong<Self>

This function is const if the feature nightly-const-fn-float is enabled.

Trait Implementations

impl<const DIM: usize, Point, F> Sample<DIM, Point> for NoiseFn<F>

where F: Fn(Point) -> f32,

fn sample(&self, point: Point) -> f32