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@@ -1,4 +1,4 @@
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-// stb_perlin.h - v0.3 - perlin noise
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+// stb_perlin.h - v0.4 - perlin noise
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// public domain single-file C implementation by Sean Barrett
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//
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// LICENSE
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@@ -18,7 +18,8 @@
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// float z,
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// int x_wrap=0,
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// int y_wrap=0,
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-// int z_wrap=0)
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+// int z_wrap=0,
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+// unsigned char seed=0)
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//
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// This function computes a random value at the coordinate (x,y,z).
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// Adjacent random values are continuous but the noise fluctuates
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@@ -32,6 +33,9 @@
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// details of the implementation, even if you ask for larger or no
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// wrapping.)
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//
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+// Using a different "seed" will provide a unique variation
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+// of the noise output.
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+//
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// Fractal Noise:
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//
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// Three common fractal noise functions are included, which produce
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@@ -41,15 +45,15 @@
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//
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// float stb_perlin_ridge_noise3(float x, float y, float z,
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// float lacunarity, float gain, float offset, int octaves,
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-// int x_wrap, int y_wrap, int z_wrap);
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+// unsigned char seed=0)
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//
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// float stb_perlin_fbm_noise3(float x, float y, float z,
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// float lacunarity, float gain, int octaves,
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-// int x_wrap, int y_wrap, int z_wrap);
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+// unsigned char seed=0);
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//
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// float stb_perlin_turbulence_noise3(float x, float y, float z,
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// float lacunarity, float gain,int octaves,
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-// int x_wrap, int y_wrap, int z_wrap);
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+// unsigned char seed=0)
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//
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// Typical values to start playing with:
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// octaves = 6 -- number of "octaves" of noise3() to sum
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@@ -60,25 +64,27 @@
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//
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// Contributors:
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// Jack Mott - additional noise functions
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+// Jordan Peck - seeded noise
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//
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#ifdef __cplusplus
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extern "C" {
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#endif
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-extern float stb_perlin_noise3(float x, float y, float z, int x_wrap, int y_wrap, int z_wrap);
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-extern float stb_perlin_ridge_noise3(float x, float y, float z,float lacunarity, float gain, float offset, int octaves,int x_wrap, int y_wrap, int z_wrap);
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-extern float stb_perlin_fbm_noise3(float x, float y, float z,float lacunarity, float gain, int octaves,int x_wrap, int y_wrap, int z_wrap);
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-extern float stb_perlin_turbulence_noise3(float x, float y, float z, float lacunarity, float gain, int octaves,int x_wrap, int y_wrap, int z_wrap);
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+extern float stb_perlin_noise3(float x, float y, float z, int x_wrap, int y_wrap, int z_wrap, unsigned char seed);
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+extern float stb_perlin_ridge_noise3(float x, float y, float z, float lacunarity, float gain, float offset, int octaves, unsigned char seed);
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+extern float stb_perlin_fbm_noise3(float x, float y, float z, float lacunarity, float gain, int octaves, unsigned char seed);
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+extern float stb_perlin_turbulence_noise3(float x, float y, float z, float lacunarity, float gain, int octaves, unsigned char seed);
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#ifdef __cplusplus
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}
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#endif
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#ifdef STB_PERLIN_IMPLEMENTATION
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+#include <math.h> // fabs()
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+
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// not same permutation table as Perlin's reference to avoid copyright issues;
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// Perlin's table can be found at http://mrl.nyu.edu/~perlin/noise/
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-// @OPTIMIZE: should this be unsigned char instead of int for cache?
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static unsigned char stb__perlin_randtab[512] =
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{
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23, 125, 161, 52, 103, 117, 70, 37, 247, 101, 203, 169, 124, 126, 44, 123,
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@@ -115,6 +121,50 @@ static unsigned char stb__perlin_randtab[512] =
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131, 11, 163, 99, 234, 81, 227, 147, 156, 176, 17, 142, 69, 12, 110, 62,
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27, 255, 0, 194, 59, 116, 242, 252, 19, 21, 187, 53, 207, 129, 64, 135,
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61, 40, 167, 237, 102, 223, 106, 159, 197, 189, 215, 137, 36, 32, 22, 5,
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+};
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+
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+
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+// perlin's gradient has 12 cases so some get used 1/16th of the time
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+// and some 2/16ths. We reduce bias by changing those fractions
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+// to 21/256ths and 22/256ths
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+
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+// same as array above but with value % 12
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+static unsigned char stb__perlin_randtab_mod12[512] =
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+{
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+ 11, 5, 5, 4, 7, 9, 10, 1, 7, 5, 11, 1, 4, 6, 8, 3,
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+ 8, 10, 1, 9, 3, 6, 1, 10, 0, 4, 4, 1, 9, 6, 11, 0,
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+ 7, 3, 5, 6, 1, 4, 0, 3, 1, 8, 3, 6, 9, 8, 6, 0,
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+ 8, 2, 0, 1, 1, 6, 5, 11, 9, 1, 3, 6, 2, 6, 11, 9,
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+ 9, 4, 10, 1, 0, 2, 5, 0, 7, 6, 1, 0, 8, 2, 7, 5,
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+ 10, 8, 4, 9, 2, 11, 9, 3, 3, 10, 10, 10, 11, 8, 6, 4,
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+ 9, 2, 7, 6, 10, 11, 2, 10, 1, 7, 4, 10, 7, 2, 1, 3,
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+ 5, 7, 10, 8, 1, 8, 7, 8, 8, 3, 4, 8, 4, 4, 7, 2,
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+ 2, 8, 9, 7, 11, 9, 7, 4, 2, 5, 2, 3, 4, 6, 4, 4,
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+ 10, 11, 0, 11, 8, 0, 6, 10, 0, 2, 3, 7, 3, 8, 4, 6,
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+ 0, 0, 11, 0, 0, 6, 2, 1, 10, 2, 0, 1, 2, 4, 5, 3,
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+ 7, 1, 5, 1, 1, 6, 5, 0, 7, 4, 5, 8, 9, 10, 9, 3,
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+ 2, 11, 5, 6, 1, 9, 5, 11, 7, 8, 6, 2, 11, 10, 10, 5,
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+ 11, 11, 7, 3, 6, 9, 11, 3, 0, 8, 5, 10, 9, 0, 2, 2,
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+ 3, 3, 0, 2, 11, 8, 2, 0, 7, 9, 7, 5, 3, 9, 4, 3,
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+ 1, 4, 11, 9, 6, 7, 10, 3, 5, 9, 11, 5, 0, 8, 10, 5,
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+
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+ // and a second copy so we don't need an extra mask or static initializer
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+ 11, 5, 5, 4, 7, 9, 10, 1, 7, 5, 11, 1, 4, 6, 8, 3,
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+ 8, 10, 1, 9, 3, 6, 1, 10, 0, 4, 4, 1, 9, 6, 11, 0,
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+ 7, 3, 5, 6, 1, 4, 0, 3, 1, 8, 3, 6, 9, 8, 6, 0,
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+ 8, 2, 0, 1, 1, 6, 5, 11, 9, 1, 3, 6, 2, 6, 11, 9,
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+ 9, 4, 10, 1, 0, 2, 5, 0, 7, 6, 1, 0, 8, 2, 7, 5,
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+ 10, 8, 4, 9, 2, 11, 9, 3, 3, 10, 10, 10, 11, 8, 6, 4,
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+ 9, 2, 7, 6, 10, 11, 2, 10, 1, 7, 4, 10, 7, 2, 1, 3,
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+ 5, 7, 10, 8, 1, 8, 7, 8, 8, 3, 4, 8, 4, 4, 7, 2,
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+ 2, 8, 9, 7, 11, 9, 7, 4, 2, 5, 2, 3, 4, 6, 4, 4,
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+ 10, 11, 0, 11, 8, 0, 6, 10, 0, 2, 3, 7, 3, 8, 4, 6,
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+ 0, 0, 11, 0, 0, 6, 2, 1, 10, 2, 0, 1, 2, 4, 5, 3,
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+ 7, 1, 5, 1, 1, 6, 5, 0, 7, 4, 5, 8, 9, 10, 9, 3,
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+ 2, 11, 5, 6, 1, 9, 5, 11, 7, 8, 6, 2, 11, 10, 10, 5,
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+ 11, 11, 7, 3, 6, 9, 11, 3, 0, 8, 5, 10, 9, 0, 2, 2,
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+ 3, 3, 0, 2, 11, 8, 2, 0, 7, 9, 7, 5, 3, 9, 4, 3,
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+ 1, 4, 11, 9, 6, 7, 10, 3, 5, 9, 11, 5, 0, 8, 10, 5,
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};
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static float stb__perlin_lerp(float a, float b, float t)
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@@ -124,12 +174,12 @@ static float stb__perlin_lerp(float a, float b, float t)
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static int stb__perlin_fastfloor(float a)
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{
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- int ai = (int) a;
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- return (a < ai) ? ai-1 : ai;
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+ int ai = (int) a;
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+ return (a < ai) ? ai-1 : ai;
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}
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// different grad function from Perlin's, but easy to modify to match reference
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-static float stb__perlin_grad(int hash, float x, float y, float z)
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+static float stb__perlin_grad(int grad_idx, float x, float y, float z)
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{
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static float basis[12][4] =
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{
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@@ -147,26 +197,11 @@ static float stb__perlin_grad(int hash, float x, float y, float z)
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{ 0,-1,-1 },
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};
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- // perlin's gradient has 12 cases so some get used 1/16th of the time
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- // and some 2/16ths. We reduce bias by changing those fractions
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- // to 5/64ths and 6/64ths, and the same 4 cases get the extra weight.
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- static unsigned char indices[64] =
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- {
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- 0,1,2,3,4,5,6,7,8,9,10,11,
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- 0,9,1,11,
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- 0,1,2,3,4,5,6,7,8,9,10,11,
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- 0,1,2,3,4,5,6,7,8,9,10,11,
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- 0,1,2,3,4,5,6,7,8,9,10,11,
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- 0,1,2,3,4,5,6,7,8,9,10,11,
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- };
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-
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- // if you use reference permutation table, change 63 below to 15 to match reference
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- // (this is why the ordering of the table above is funky)
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- float *grad = basis[indices[hash & 63]];
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+ float *grad = basis[grad_idx];
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return grad[0]*x + grad[1]*y + grad[2]*z;
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}
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-float stb_perlin_noise3(float x, float y, float z, int x_wrap, int y_wrap, int z_wrap)
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+float stb_perlin_noise3(float x, float y, float z, int x_wrap, int y_wrap, int z_wrap, unsigned char seed)
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{
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float u,v,w;
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float n000,n001,n010,n011,n100,n101,n110,n111;
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@@ -190,22 +225,22 @@ float stb_perlin_noise3(float x, float y, float z, int x_wrap, int y_wrap, int z
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y -= py; v = stb__perlin_ease(y);
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z -= pz; w = stb__perlin_ease(z);
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- r0 = stb__perlin_randtab[x0];
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- r1 = stb__perlin_randtab[x1];
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+ r0 = stb__perlin_randtab[x0+seed];
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+ r1 = stb__perlin_randtab[x1+seed];
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r00 = stb__perlin_randtab[r0+y0];
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r01 = stb__perlin_randtab[r0+y1];
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r10 = stb__perlin_randtab[r1+y0];
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r11 = stb__perlin_randtab[r1+y1];
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- n000 = stb__perlin_grad(stb__perlin_randtab[r00+z0], x , y , z );
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- n001 = stb__perlin_grad(stb__perlin_randtab[r00+z1], x , y , z-1 );
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- n010 = stb__perlin_grad(stb__perlin_randtab[r01+z0], x , y-1, z );
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- n011 = stb__perlin_grad(stb__perlin_randtab[r01+z1], x , y-1, z-1 );
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- n100 = stb__perlin_grad(stb__perlin_randtab[r10+z0], x-1, y , z );
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- n101 = stb__perlin_grad(stb__perlin_randtab[r10+z1], x-1, y , z-1 );
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- n110 = stb__perlin_grad(stb__perlin_randtab[r11+z0], x-1, y-1, z );
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- n111 = stb__perlin_grad(stb__perlin_randtab[r11+z1], x-1, y-1, z-1 );
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+ n000 = stb__perlin_grad(stb__perlin_randtab_mod12[r00+z0], x , y , z );
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+ n001 = stb__perlin_grad(stb__perlin_randtab_mod12[r00+z1], x , y , z-1 );
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+ n010 = stb__perlin_grad(stb__perlin_randtab_mod12[r01+z0], x , y-1, z );
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+ n011 = stb__perlin_grad(stb__perlin_randtab_mod12[r01+z1], x , y-1, z-1 );
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+ n100 = stb__perlin_grad(stb__perlin_randtab_mod12[r10+z0], x-1, y , z );
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+ n101 = stb__perlin_grad(stb__perlin_randtab_mod12[r10+z1], x-1, y , z-1 );
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+ n110 = stb__perlin_grad(stb__perlin_randtab_mod12[r11+z0], x-1, y-1, z );
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+ n111 = stb__perlin_grad(stb__perlin_randtab_mod12[r11+z1], x-1, y-1, z-1 );
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n00 = stb__perlin_lerp(n000,n001,w);
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n01 = stb__perlin_lerp(n010,n011,w);
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@@ -218,7 +253,7 @@ float stb_perlin_noise3(float x, float y, float z, int x_wrap, int y_wrap, int z
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return stb__perlin_lerp(n0,n1,u);
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}
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-float stb_perlin_ridge_noise3(float x, float y, float z,float lacunarity, float gain, float offset, int octaves,int x_wrap, int y_wrap, int z_wrap)
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+float stb_perlin_ridge_noise3(float x, float y, float z, float lacunarity, float gain, float offset, int octaves, unsigned char seed)
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{
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int i;
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float frequency = 1.0f;
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@@ -227,19 +262,19 @@ float stb_perlin_ridge_noise3(float x, float y, float z,float lacunarity, float
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float sum = 0.0f;
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for (i = 0; i < octaves; i++) {
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- float r = (float)(stb_perlin_noise3(x*frequency,y*frequency,z*frequency,x_wrap,y_wrap,z_wrap));
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- r = r<0 ? -r : r; // fabs()
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- r = offset - r;
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+ float r = stb_perlin_noise3(x*frequency,y*frequency,z*frequency,0,0,0,seed);
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+ r = offset - fabs(r);
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r = r*r;
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sum += r*amplitude*prev;
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prev = r;
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frequency *= lacunarity;
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amplitude *= gain;
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+ seed++;
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}
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return sum;
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}
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-float stb_perlin_fbm_noise3(float x, float y, float z,float lacunarity, float gain, int octaves,int x_wrap, int y_wrap, int z_wrap)
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+float stb_perlin_fbm_noise3(float x, float y, float z, float lacunarity, float gain, int octaves, unsigned char seed)
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{
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int i;
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float frequency = 1.0f;
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@@ -247,14 +282,15 @@ float stb_perlin_fbm_noise3(float x, float y, float z,float lacunarity, float ga
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float sum = 0.0f;
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for (i = 0; i < octaves; i++) {
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- sum += stb_perlin_noise3(x*frequency,y*frequency,z*frequency,x_wrap,y_wrap,z_wrap)*amplitude;
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+ sum += stb_perlin_noise3(x*frequency,y*frequency,z*frequency,0,0,0,seed)*amplitude;
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frequency *= lacunarity;
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amplitude *= gain;
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+ seed++;
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}
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return sum;
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}
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-float stb_perlin_turbulence_noise3(float x, float y, float z, float lacunarity, float gain, int octaves,int x_wrap, int y_wrap, int z_wrap)
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+float stb_perlin_turbulence_noise3(float x, float y, float z, float lacunarity, float gain, int octaves, unsigned char seed)
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{
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int i;
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float frequency = 1.0f;
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@@ -262,11 +298,11 @@ float stb_perlin_turbulence_noise3(float x, float y, float z, float lacunarity,
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float sum = 0.0f;
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for (i = 0; i < octaves; i++) {
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- float r = stb_perlin_noise3(x*frequency,y*frequency,z*frequency,x_wrap,y_wrap,z_wrap)*amplitude;
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- r = r<0 ? -r : r; // fabs()
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- sum += r;
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+ float r = stb_perlin_noise3(x*frequency,y*frequency,z*frequency,0,0,0,seed)*amplitude;
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+ sum += fabs(r);
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frequency *= lacunarity;
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amplitude *= gain;
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+ seed++;
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}
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return sum;
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}
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