# simplex – Simplex noise generation¶

bravo.simplex.dot2(u, v)[source]

Dot product of two 2-dimensional vectors.

bravo.simplex.dot3(u, v)[source]

Dot product of two 3-dimensional vectors.

bravo.simplex.octaves2(x, y, count)[source]

Generate fractal octaves of noise.

Summing increasingly scaled amounts of noise with itself creates fractal clouds of noise.

Parameters: x (int) – X coordinate y (int) – Y coordinate count (int) – number of octaves Scaled fractal noise
bravo.simplex.octaves3(x, y, z, count)[source]

Generate fractal octaves of noise.

Parameters: x (int) – X coordinate y (int) – Y coordinate z (int) – Z coordinate count (int) – number of octaves Scaled fractal noise
bravo.simplex.offset2(x, y, xoffset, yoffset, octaves=1)[source]

Generate an offset noise difference field.

Parameters: x (int) – X coordinate y (int) – Y coordinate xoffset (int) – X offset yoffset (int) – Y offset Difference of noises
bravo.simplex.reseed(seed)[source]

bravo.simplex.set_seed(seed)[source]

Set the current seed.

bravo.simplex.simplex2(x, y)[source]

Generate simplex noise at the given coordinates.

This particular implementation has very high chaotic features at normal resolution; zooming in by a factor of 16x to 256x is going to yield more pleasing results for most applications.

The gradient field must be seeded prior to calling this function; call reseed() first.

Parameters: Returns: x (int) – X coordinate y (int) – Y coordinate simplex noise the gradient field is not seeded
bravo.simplex.simplex3(x, y, z)[source]

Generate simplex noise at the given coordinates.

This is a 3-dimensional flavor of simplex2(); all of the same caveats apply.

The gradient field must be seeded prior to calling this function; call reseed() first.

Parameters: Returns: x (int) – X coordinate y (int) – Y coordinate z (int) – Z coordinate simplex noise the gradient field is not seeded or you broke the function somehow