Noise generator based on Open Simplex. This resource allows you to configure and sample a fractal noise space. Here is a brief usage example that configures a SimplexNoise and gets samples at various positions and dimensions: [codeblock] var noise = SimplexNoise.new() # Configure noise.seed = randi() noise.octaves = 4 noise.period = 20.0 noise.persistance = 0.8 #Sample print("Values:") print(noise.get_noise_2d(1.0,1.0)) print(noise.get_noise_3d(0.5,3.0,15.0)) print(noise.get_noise_3d(0.5,1.9,4.7,0.0)) [/codeblock] Generate a noise image with the requested [code]width[/code] and [code]height[/code], based on the current noise parameters. 2D noise value [-1,1] at position [code]x[/code],[code]y[/code]. 2D noise value [-1,1] at position [code]pos.x[/code],[code]pos.y[/code]. 3D noise value [-1,1] at position [code]x[/code],[code]y[/code],[code]z[/code]. 3D noise value [-1,1] at position [code]pos.x[/code],[code]pos.y[/code],[code]pos.z[/code]. 4D noise value [-1,1] at position [code]x[/code],[code]y[/code],[code]z[/code],[code]w[/code]. Generate a tileable noise image, based on the current noise parameters. Generated seamless images are always square ([code]size[/code]x[code]size[/code]). Difference in period between [member octaves]. Number of Simplex Noise layers that are sampled to get the fractal noise. Period of the base octave. A lower period results in a higher frequancy noise (more value changes across the same distance). Contribuiton factor of the different octaves. A [code]persistance[/code] value of 1 means all the octaves have the same contribution, a value of 0.5 means each octave contributes half as much as the previous one. Seed used to generate random values, different seeds will generate different noise maps.