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orx-noise

Randomness for every type of person: Perlin, uniform, value, simplex, fractal and many other types of noise.

Uniform random numbers

val sua = Double.uniform()
val sub = Double.uniform(-1.0, 1.0)

val v2ua = Vector2.uniform()
val v2ub = Vector2.uniform(-1.0, 1.0)
val v2uc = Vector2.uniform(Vector2(0.0, 0.0), Vector2(1.0, 1.0))
val v2ur = Vector2.uniformRing(0.5, 1.0)

val v3ua = Vector3.uniform()
val v3ub = Vector3.uniform(-1.0, 1.0)
val v3uc = Vector3.uniform(Vector3(0.0, 0.0, 0.0), Vector3(1.0, 1.0, 1.0))
val v3ur = Vector3.uniformRing(0.5, 1.0)

val v4ua = Vector4.uniform()
val v4ub = Vector4.uniform(-1.0, 1.0)
val v4uc = Vector4.uniform(Vector4(0.0, 0.0, 0.0, 0.0), Vector4(1.0, 1.0, 1.0, 1.0))
val v4ur = Vector4.uniformRing(0.5, 1.0)

val ringSamples = List(500) { Vector2.uniformRing() }

Noise function composition

Since ORX 0.4 the orx-noise module comes with functional composition tooling that allow one to create complex noise functions.

// create an FBM version of 1D linear perlin noise
val myNoise0 = perlinLinear1D.fbm(octaves=3)
val noiseValue0 = myNoise0(431, seconds)

// create polar version of 2D simplex noise
val myNoise1 = simplex2D.withPolarInput()
val noiseValue1 = myNoise1(5509, Polar(seconds*60.0, 0.5))

// create value linear noise with squared outputs which is then billowed
val myNoise2 = valueLinear1D.mapOutput { it * it }.billow()
val noiseValue2 = myNoise2(993, seconds * 0.1)

Multi-dimensional noise

These are a mostly straight port from FastNoise-Java but have a slightly different interface.

Perlin noise

// -- 1d
val v0 = perlinLinear(seed, x)
val v1 = perlinQuintic(seed, x)
val v2 = perlinHermite(seed, x)

// -- 2d
val v3 = perlinLinear(seed, x, y)
val v4 = perlinQuintic(seed, x, y)
val v5 = perlinHermite(seed, x, y)

// -- 3d
val v6 = perlinLinear(seed, x, y, z)
val v7 = perlinQuintic(seed, x, y, z)
val v8 = perlinHermite(seed, x, y, z)

Value noise

// -- 1d
val v0 = valueLinear(seed, x)
val v1 = valueQuintic(seed, x)
val v2 = valueHermite(seed, x)

// -- 2d
val v2 = valueLinear(seed, x, y)
val v3 = valueQuintic(seed, x, y)
val v4 = valueHermite(seed, x, y)

// -- 3d
val v5 = valueLinear(seed, x, y, z)
val v6 = valueQuintic(seed, x, y, z)
val v7 = valueHermite(seed, x, y ,z)

Simplex noise

// -- 1d
val v0 = simplex(seed, x)

// -- 2d
val v1 = simplex(seed, x, y)

// -- 3d
val v2 = simplex(seed, x, y, z)

// -- 4d
val v3 = simplex(seed, x, y, z, w)

Cubic noise

// -- 1d
val v0 = cubic(seed, x, y)
val v1 = cubicQuintic(seed, x, y)
val v2 = cubicHermite(seed, x, y)

// -- 2d
val v0 = cubic(seed, x, y)
val v1 = cubicQuintic(seed, x, y)
val v2 = cubicHermite(seed, x, y)

// -- 3d
val v3 = cubic(seed, x, y, z)
val v4 = cubicQuintic(seed, x, y, z)
val v5 = cubicHermite(seed, x, y ,z)

Fractal noise

The library provides 3 functions with which fractal noise can be composed.

Fractal brownian motion (FBM)

// 1d
val v0 = fbm(seed, x, ::perlinLinear, octaves, lacunarity, gain)
val v1 = fbm(seed, x, ::simplexLinear, octaves, lacunarity, gain)
val v2 = fbm(seed, x, ::valueLinear, octaves, lacunarity, gain)

// 2d
val v3 = fbm(seed, x, y, ::perlinLinear, octaves, lacunarity, gain)
val v4 = fbm(seed, x, y, ::simplexLinear, octaves, lacunarity, gain)
val v5 = fbm(seed, x, y, ::valueLinear, octaves, lacunarity, gain)

// 3d
val v6 = fbm(seed, x, y, z, ::perlinLinear, octaves, lacunarity, gain)
val v7 = fbm(seed, x, y, z, ::simplexLinear, octaves, lacunarity, gain)
val v8 = fbm(seed, x, y, z, ::valueLinear, octaves, lacunarity, gain)

Rigid

// 1d
val v0 = rigid(seed, x, ::perlinLinear, octaves, lacunarity, gain)
val v1 = rigid(seed, x, ::simplexLinear, octaves, lacunarity, gain)
val v2 = rigid(seed, x, ::valueLinear, octaves, lacunarity, gain)

// 2d
val v2 = rigid(seed, x, y, ::perlinLinear, octaves, lacunarity, gain)
val v3 = rigid(seed, x, y, ::simplexLinear, octaves, lacunarity, gain)
val v4 = rigid(seed, x, y, ::valueLinear, octaves, lacunarity, gain)

// 3d
val v3 = rigid(seed, x, y, z, ::perlinLinear, octaves, lacunarity, gain)
val v4 = rigid(seed, x, y, z, ::simplexLinear, octaves, lacunarity, gain)
val v5 = rigid(seed, x, y, z, ::valueLinear, octaves, lacunarity, gain)

Billow

// 1d
val v0 = billow(seed, x, ::perlinLinear, octaves, lacunarity, gain)
val v1 = billow(seed, x, ::perlinLinear, octaves, lacunarity, gain)
val v2 = billow(seed, x, ::perlinLinear, octaves, lacunarity, gain)

// 2d
val v3 = billow(seed, x, y, ::perlinLinear, octaves, lacunarity, gain)
val v4 = billow(seed, x, y, ::perlinLinear, octaves, lacunarity, gain)
val v5 = billow(seed, x, y, ::perlinLinear, octaves, lacunarity, gain)

// 3d
val v6 = billow(seed, x, y, z, ::perlinLinear, octaves, lacunarity, gain)
val v7 = billow(seed, x, y, z, ::perlinLinear, octaves, lacunarity, gain)
val v8 = billow(seed, x, y, z, ::perlinLinear, octaves, lacunarity, gain)

Demos

DemoCircleHash01

source code

DemoCircleHash01Kt

DemoCubicNoise2D01

source code

DemoCubicNoise2D01Kt

DemoFunctionalComposition01

source code

DemoFunctionalComposition01Kt

DemoGradientPerturb2D

source code

DemoGradientPerturb2DKt

DemoGradientPerturb3D

source code

DemoGradientPerturb3DKt

DemoNoisesGLSLGui

source code

DemoNoisesGLSLGuiKt

DemoNoisesGLSL

source code

DemoNoisesGLSLKt

DemoRectangleHash01

source code

DemoRectangleHash01Kt

DemoScatter01

source code

DemoScatter01Kt

DemoSimplex01

source code

DemoSimplex01Kt

DemoSimplexGLSL

source code

DemoSimplexGLSLKt

DemoTriangleNoise01

source code

DemoTriangleNoise01Kt

DemoUHash01

source code

DemoUHash01Kt

DemoValueNoise2D01

source code

DemoValueNoise2D01Kt

phrases/DemoUHashPhrase01

source code

phrases-DemoUHashPhrase01Kt