Types

Noise = object: A noise instance
perm is a set of random numbers used to generate the results

octaves allows you to combine multiple layers of noise into a single result

persistence is how much impact each successive octave has on the result
NoiseType {.pure.} = enum perlin, simplex: The types of noise available
Point = Point3D[float] | Point3D[int] | Point2D[float] | Point2D[int]: A 2d or 3d point with any kind of precision
Point2D[U] = tuple[x, y: U]: A helper definition for a 3d point
Point3D[U] = tuple[x, y, z: U]: A helper definition for a 3d point
PointND[U] = Point3D[U] | Point2D[U]: a point of N dimensions with a specific precision

Procs

proc buildPermutations(seed: uint32): array[0 .. 511, int] {....raises: [], tags: [], forbids: [].}: Returns a hash lookup table. It is all the numbers from 0 to 255 (inclusive) in a randomly sorted array, twice over
proc newNoise(): Noise {....raises: [], tags: [], forbids: [].}: Creates a new noise instance with a random seed
proc newNoise(octaves: int; persistence: float): Noise {....raises: [], tags: [], forbids: [].}: Creates a new noise instance with a random seed
octaves allows you to combine multiple layers of noise into a single result

persistence is how much impact each successive octave has on the result
proc newNoise(seed: uint32; octaves: int = 1; persistence: float = 0.5): Noise {. ...raises: [], tags: [], forbids: [].}: Creates a new noise instance with the given seed
octaves allows you to combine multiple layers of noise into a single result

persistence is how much impact each successive octave has on the result
proc octaves(noise: Noise): auto {....raises: [], tags: [], forbids: [].}
proc persistence(noise: Noise): auto {....raises: [], tags: [], forbids: [].}