/* * * $Id$ * * ***** BEGIN GPL LICENSE BLOCK ***** * * This program is free software; you can redistribute it and/or * modify it under the terms of the GNU General Public License * as published by the Free Software Foundation; either version 2 * of the License, or (at your option) any later version. * * This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with this program; if not, write to the Free Software Foundation, * Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. * * The Original Code is Copyright (C) 2001-2002 by NaN Holding BV. * All rights reserved. * * The Original Code is: all of this file. * * Contributor(s): none yet. * * ***** END GPL LICENSE BLOCK ***** * */ #ifdef _WIN32 #pragma warning (disable : 4244) // "conversion from double to float" #pragma warning (disable : 4305) // "truncation from const double to float" #endif #include #include "BLI_blenlib.h" #ifdef HAVE_CONFIG_H #include #endif /* local */ float noise3_perlin(float vec[3]); float turbulence_perlin(float *point, float lofreq, float hifreq); float turbulencep(float noisesize, float x, float y, float z, int nr); #define HASHVEC(x,y,z) hashvectf+3*hash[ (hash[ (hash[(z) & 255]+(y)) & 255]+(x)) & 255] /* needed for voronoi */ #define HASHPNT(x,y,z) hashpntf+3*hash[ (hash[ (hash[(z) & 255]+(y)) & 255]+(x)) & 255] static float hashpntf[768] = {0.536902, 0.020915, 0.501445, 0.216316, 0.517036, 0.822466, 0.965315, 0.377313, 0.678764, 0.744545, 0.097731, 0.396357, 0.247202, 0.520897, 0.613396, 0.542124, 0.146813, 0.255489, 0.810868, 0.638641, 0.980742, 0.292316, 0.357948, 0.114382, 0.861377, 0.629634, 0.722530, 0.714103, 0.048549, 0.075668, 0.564920, 0.162026, 0.054466, 0.411738, 0.156897, 0.887657, 0.599368, 0.074249, 0.170277, 0.225799, 0.393154, 0.301348, 0.057434, 0.293849, 0.442745, 0.150002, 0.398732, 0.184582, 0.915200, 0.630984, 0.974040, 0.117228, 0.795520, 0.763238, 0.158982, 0.616211, 0.250825, 0.906539, 0.316874, 0.676205, 0.234720, 0.667673, 0.792225, 0.273671, 0.119363, 0.199131, 0.856716, 0.828554, 0.900718, 0.705960, 0.635923, 0.989433, 0.027261, 0.283507, 0.113426, 0.388115, 0.900176, 0.637741, 0.438802, 0.715490, 0.043692, 0.202640, 0.378325, 0.450325, 0.471832, 0.147803, 0.906899, 0.524178, 0.784981, 0.051483, 0.893369, 0.596895, 0.275635, 0.391483, 0.844673, 0.103061, 0.257322, 0.708390, 0.504091, 0.199517, 0.660339, 0.376071, 0.038880, 0.531293, 0.216116, 0.138672, 0.907737, 0.807994, 0.659582, 0.915264, 0.449075, 0.627128, 0.480173, 0.380942, 0.018843, 0.211808, 0.569701, 0.082294, 0.689488, 0.573060, 0.593859, 0.216080, 0.373159, 0.108117, 0.595539, 0.021768, 0.380297, 0.948125, 0.377833, 0.319699, 0.315249, 0.972805, 0.792270, 0.445396, 0.845323, 0.372186, 0.096147, 0.689405, 0.423958, 0.055675, 0.117940, 0.328456, 0.605808, 0.631768, 0.372170, 0.213723, 0.032700, 0.447257, 0.440661, 0.728488, 0.299853, 0.148599, 0.649212, 0.498381, 0.049921, 0.496112, 0.607142, 0.562595, 0.990246, 0.739659, 0.108633, 0.978156, 0.209814, 0.258436, 0.876021, 0.309260, 0.600673, 0.713597, 0.576967, 0.641402, 0.853930, 0.029173, 0.418111, 0.581593, 0.008394, 0.589904, 0.661574, 0.979326, 0.275724, 0.111109, 0.440472, 0.120839, 0.521602, 0.648308, 0.284575, 0.204501, 0.153286, 0.822444, 0.300786, 0.303906, 0.364717, 0.209038, 0.916831, 0.900245, 0.600685, 0.890002, 0.581660, 0.431154, 0.705569, 0.551250, 0.417075, 0.403749, 0.696652, 0.292652, 0.911372, 0.690922, 0.323718, 0.036773, 0.258976, 0.274265, 0.225076, 0.628965, 0.351644, 0.065158, 0.080340, 0.467271, 0.130643, 0.385914, 0.919315, 0.253821, 0.966163, 0.017439, 0.392610, 0.478792, 0.978185, 0.072691, 0.982009, 0.097987, 0.731533, 0.401233, 0.107570, 0.349587, 0.479122, 0.700598, 0.481751, 0.788429, 0.706864, 0.120086, 0.562691, 0.981797, 0.001223, 0.192120, 0.451543, 0.173092, 0.108960, 0.549594, 0.587892, 0.657534, 0.396365, 0.125153, 0.666420, 0.385823, 0.890916, 0.436729, 0.128114, 0.369598, 0.759096, 0.044677, 0.904752, 0.088052, 0.621148, 0.005047, 0.452331, 0.162032, 0.494238, 0.523349, 0.741829, 0.698450, 0.452316, 0.563487, 0.819776, 0.492160, 0.004210, 0.647158, 0.551475, 0.362995, 0.177937, 0.814722, 0.727729, 0.867126, 0.997157, 0.108149, 0.085726, 0.796024, 0.665075, 0.362462, 0.323124, 0.043718, 0.042357, 0.315030, 0.328954, 0.870845, 0.683186, 0.467922, 0.514894, 0.809971, 0.631979, 0.176571, 0.366320, 0.850621, 0.505555, 0.749551, 0.750830, 0.401714, 0.481216, 0.438393, 0.508832, 0.867971, 0.654581, 0.058204, 0.566454, 0.084124, 0.548539, 0.902690, 0.779571, 0.562058, 0.048082, 0.863109, 0.079290, 0.713559, 0.783496, 0.265266, 0.672089, 0.786939, 0.143048, 0.086196, 0.876129, 0.408708, 0.229312, 0.629995, 0.206665, 0.207308, 0.710079, 0.341704, 0.264921, 0.028748, 0.629222, 0.470173, 0.726228, 0.125243, 0.328249, 0.794187, 0.741340, 0.489895, 0.189396, 0.724654, 0.092841, 0.039809, 0.860126, 0.247701, 0.655331, 0.964121, 0.672536, 0.044522, 0.690567, 0.837238, 0.631520, 0.953734, 0.352484, 0.289026, 0.034152, 0.852575, 0.098454, 0.795529, 0.452181, 0.826159, 0.186993, 0.820725, 0.440328, 0.922137, 0.704592, 0.915437, 0.738183, 0.733461, 0.193798, 0.929213, 0.161390, 0.318547, 0.888751, 0.430968, 0.740837, 0.193544, 0.872253, 0.563074, 0.274598, 0.347805, 0.666176, 0.449831, 0.800991, 0.588727, 0.052296, 0.714761, 0.420620, 0.570325, 0.057550, 0.210888, 0.407312, 0.662848, 0.924382, 0.895958, 0.775198, 0.688605, 0.025721, 0.301913, 0.791408, 0.500602, 0.831984, 0.828509, 0.642093, 0.494174, 0.525880, 0.446365, 0.440063, 0.763114, 0.630358, 0.223943, 0.333806, 0.906033, 0.498306, 0.241278, 0.427640, 0.772683, 0.198082, 0.225379, 0.503894, 0.436599, 0.016503, 0.803725, 0.189878, 0.291095, 0.499114, 0.151573, 0.079031, 0.904618, 0.708535, 0.273900, 0.067419, 0.317124, 0.936499, 0.716511, 0.543845, 0.939909, 0.826574, 0.715090, 0.154864, 0.750150, 0.845808, 0.648108, 0.556564, 0.644757, 0.140873, 0.799167, 0.632989, 0.444245, 0.471978, 0.435910, 0.359793, 0.216241, 0.007633, 0.337236, 0.857863, 0.380247, 0.092517, 0.799973, 0.919000, 0.296798, 0.096989, 0.854831, 0.165369, 0.568475, 0.216855, 0.020457, 0.835511, 0.538039, 0.999742, 0.620226, 0.244053, 0.060399, 0.323007, 0.294874, 0.988899, 0.384919, 0.735655, 0.773428, 0.549776, 0.292882, 0.660611, 0.593507, 0.621118, 0.175269, 0.682119, 0.794493, 0.868197, 0.632150, 0.807823, 0.509656, 0.482035, 0.001780, 0.259126, 0.358002, 0.280263, 0.192985, 0.290367, 0.208111, 0.917633, 0.114422, 0.925491, 0.981110, 0.255570, 0.974862, 0.016629, 0.552599, 0.575741, 0.612978, 0.615965, 0.803615, 0.772334, 0.089745, 0.838812, 0.634542, 0.113709, 0.755832, 0.577589, 0.667489, 0.529834, 0.325660, 0.817597, 0.316557, 0.335093, 0.737363, 0.260951, 0.737073, 0.049540, 0.735541, 0.988891, 0.299116, 0.147695, 0.417271, 0.940811, 0.524160, 0.857968, 0.176403, 0.244835, 0.485759, 0.033353, 0.280319, 0.750688, 0.755809, 0.924208, 0.095956, 0.962504, 0.275584, 0.173715, 0.942716, 0.706721, 0.078464, 0.576716, 0.804667, 0.559249, 0.900611, 0.646904, 0.432111, 0.927885, 0.383277, 0.269973, 0.114244, 0.574867, 0.150703, 0.241855, 0.272871, 0.199950, 0.079719, 0.868566, 0.962833, 0.789122, 0.320025, 0.905554, 0.234876, 0.991356, 0.061913, 0.732911, 0.785960, 0.874074, 0.069035, 0.658632, 0.309901, 0.023676, 0.791603, 0.764661, 0.661278, 0.319583, 0.829650, 0.117091, 0.903124, 0.982098, 0.161631, 0.193576, 0.670428, 0.857390, 0.003760, 0.572578, 0.222162, 0.114551, 0.420118, 0.530404, 0.470682, 0.525527, 0.764281, 0.040596, 0.443275, 0.501124, 0.816161, 0.417467, 0.332172, 0.447565, 0.614591, 0.559246, 0.805295, 0.226342, 0.155065, 0.714630, 0.160925, 0.760001, 0.453456, 0.093869, 0.406092, 0.264801, 0.720370, 0.743388, 0.373269, 0.403098, 0.911923, 0.897249, 0.147038, 0.753037, 0.516093, 0.739257, 0.175018, 0.045768, 0.735857, 0.801330, 0.927708, 0.240977, 0.591870, 0.921831, 0.540733, 0.149100, 0.423152, 0.806876, 0.397081, 0.061100, 0.811630, 0.044899, 0.460915, 0.961202, 0.822098, 0.971524, 0.867608, 0.773604, 0.226616, 0.686286, 0.926972, 0.411613, 0.267873, 0.081937, 0.226124, 0.295664, 0.374594, 0.533240, 0.237876, 0.669629, 0.599083, 0.513081, 0.878719, 0.201577, 0.721296, 0.495038, 0.079760, 0.965959, 0.233090, 0.052496, 0.714748, 0.887844, 0.308724, 0.972885, 0.723337, 0.453089, 0.914474, 0.704063, 0.823198, 0.834769, 0.906561, 0.919600, 0.100601, 0.307564, 0.901977, 0.468879, 0.265376, 0.885188, 0.683875, 0.868623, 0.081032, 0.466835, 0.199087, 0.663437, 0.812241, 0.311337, 0.821361, 0.356628, 0.898054, 0.160781, 0.222539, 0.714889, 0.490287, 0.984915, 0.951755, 0.964097, 0.641795, 0.815472, 0.852732, 0.862074, 0.051108, 0.440139, 0.323207, 0.517171, 0.562984, 0.115295, 0.743103, 0.977914, 0.337596, 0.440694, 0.535879, 0.959427, 0.351427, 0.704361, 0.010826, 0.131162, 0.577080, 0.349572, 0.774892, 0.425796, 0.072697, 0.500001, 0.267322, 0.909654, 0.206176, 0.223987, 0.937698, 0.323423, 0.117501, 0.490308, 0.474372, 0.689943, 0.168671, 0.719417, 0.188928, 0.330464, 0.265273, 0.446271, 0.171933, 0.176133, 0.474616, 0.140182, 0.114246, 0.905043, 0.713870, 0.555261, 0.951333}; unsigned char hash[512]= { 0xA2,0xA0,0x19,0x3B,0xF8,0xEB,0xAA,0xEE,0xF3,0x1C,0x67,0x28,0x1D,0xED,0x0,0xDE,0x95,0x2E,0xDC,0x3F,0x3A,0x82,0x35,0x4D,0x6C,0xBA,0x36,0xD0,0xF6,0xC,0x79,0x32,0xD1,0x59,0xF4,0x8,0x8B,0x63,0x89,0x2F,0xB8,0xB4,0x97,0x83,0xF2,0x8F,0x18,0xC7,0x51,0x14,0x65,0x87,0x48,0x20,0x42,0xA8,0x80,0xB5,0x40,0x13,0xB2,0x22,0x7E,0x57, 0xBC,0x7F,0x6B,0x9D,0x86,0x4C,0xC8,0xDB,0x7C,0xD5,0x25,0x4E,0x5A,0x55,0x74,0x50,0xCD,0xB3,0x7A,0xBB,0xC3,0xCB,0xB6,0xE2,0xE4,0xEC,0xFD,0x98,0xB,0x96,0xD3,0x9E,0x5C,0xA1,0x64,0xF1,0x81,0x61,0xE1,0xC4,0x24,0x72,0x49,0x8C,0x90,0x4B,0x84,0x34,0x38,0xAB,0x78,0xCA,0x1F,0x1,0xD7,0x93,0x11,0xC1,0x58,0xA9,0x31,0xF9,0x44,0x6D, 0xBF,0x33,0x9C,0x5F,0x9,0x94,0xA3,0x85,0x6,0xC6,0x9A,0x1E,0x7B,0x46,0x15,0x30,0x27,0x2B,0x1B,0x71,0x3C,0x5B,0xD6,0x6F,0x62,0xAC,0x4F,0xC2,0xC0,0xE,0xB1,0x23,0xA7,0xDF,0x47,0xB0,0x77,0x69,0x5,0xE9,0xE6,0xE7,0x76,0x73,0xF,0xFE,0x6E,0x9B,0x56,0xEF,0x12,0xA5,0x37,0xFC,0xAE,0xD9,0x3,0x8E,0xDD,0x10,0xB9,0xCE,0xC9,0x8D, 0xDA,0x2A,0xBD,0x68,0x17,0x9F,0xBE,0xD4,0xA,0xCC,0xD2,0xE8,0x43,0x3D,0x70,0xB7,0x2,0x7D,0x99,0xD8,0xD,0x60,0x8A,0x4,0x2C,0x3E,0x92,0xE5,0xAF,0x53,0x7,0xE0,0x29,0xA6,0xC5,0xE3,0xF5,0xF7,0x4A,0x41,0x26,0x6A,0x16,0x5E,0x52,0x2D,0x21,0xAD,0xF0,0x91,0xFF,0xEA,0x54,0xFA,0x66,0x1A,0x45,0x39,0xCF,0x75,0xA4,0x88,0xFB,0x5D, 0xA2,0xA0,0x19,0x3B,0xF8,0xEB,0xAA,0xEE,0xF3,0x1C,0x67,0x28,0x1D,0xED,0x0,0xDE,0x95,0x2E,0xDC,0x3F,0x3A,0x82,0x35,0x4D,0x6C,0xBA,0x36,0xD0,0xF6,0xC,0x79,0x32,0xD1,0x59,0xF4,0x8,0x8B,0x63,0x89,0x2F,0xB8,0xB4,0x97,0x83,0xF2,0x8F,0x18,0xC7,0x51,0x14,0x65,0x87,0x48,0x20,0x42,0xA8,0x80,0xB5,0x40,0x13,0xB2,0x22,0x7E,0x57, 0xBC,0x7F,0x6B,0x9D,0x86,0x4C,0xC8,0xDB,0x7C,0xD5,0x25,0x4E,0x5A,0x55,0x74,0x50,0xCD,0xB3,0x7A,0xBB,0xC3,0xCB,0xB6,0xE2,0xE4,0xEC,0xFD,0x98,0xB,0x96,0xD3,0x9E,0x5C,0xA1,0x64,0xF1,0x81,0x61,0xE1,0xC4,0x24,0x72,0x49,0x8C,0x90,0x4B,0x84,0x34,0x38,0xAB,0x78,0xCA,0x1F,0x1,0xD7,0x93,0x11,0xC1,0x58,0xA9,0x31,0xF9,0x44,0x6D, 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0.869934,0.609039,0.009094,-0.79306,0.962494,-0.271088,-0.00885,0.2659,-0.004913,0.963959,0.651245,0.553619,-0.518951,0.280548,-0.84314,0.458618,-0.175293,-0.983215,0.049805,0.035339,-0.979919,0.196045,-0.982941,0.164307,-0.082245,0.233734,-0.97226,-0.005005,-0.747253,-0.611328,0.260437,0.645599, 0.592773,0.481384,0.117706,-0.949524,-0.29068,-0.535004,-0.791901,-0.294312,-0.627167,-0.214447,0.748718,-0.047974,-0.813477,-0.57959,-0.175537,0.477264,-0.860992,0.738556,-0.414246,-0.53183,0.562561,-0.704071,0.433289,-0.754944,0.64801,-0.100586,0.114716,0.044525,-0.992371,0.966003,0.244873,-0.082764, }; /**************************/ /* IMPROVED PERLIN NOISE */ /**************************/ #define lerp(t, a, b) ((a)+(t)*((b)-(a))) #define npfade(t) ((t)*(t)*(t)*((t)*((t)*6-15)+10)) static float grad(int hash, float x, float y, float z) { int h = hash & 15; // CONVERT LO 4 BITS OF HASH CODE float u = h<8 ? x : y, // INTO 12 GRADIENT DIRECTIONS. v = h<4 ? y : h==12||h==14 ? x : z; return ((h&1) == 0 ? u : -u) + ((h&2) == 0 ? v : -v); } /* instead of adding another permutation array, just use hash table defined above */ static float newPerlin(float x, float y, float z) { int A, AA, AB, B, BA, BB; float u=floor(x), v=floor(y), w=floor(z); int X=((int)u) & 255, Y=((int)v) & 255, Z=((int)w) & 255; // FIND UNIT CUBE THAT CONTAINS POINT x -= u; // FIND RELATIVE X,Y,Z y -= v; // OF POINT IN CUBE. z -= w; u = npfade(x); // COMPUTE FADE CURVES v = npfade(y); // FOR EACH OF X,Y,Z. w = npfade(z); A = hash[X ]+Y; AA = hash[A]+Z; AB = hash[A+1]+Z; // HASH COORDINATES OF B = hash[X+1]+Y; BA = hash[B]+Z; BB = hash[B+1]+Z; // THE 8 CUBE CORNERS, return lerp(w, lerp(v, lerp(u, grad(hash[AA ], x , y , z ), // AND ADD grad(hash[BA ], x-1, y , z )), // BLENDED lerp(u, grad(hash[AB ], x , y-1, z ), // RESULTS grad(hash[BB ], x-1, y-1, z ))),// FROM 8 lerp(v, lerp(u, grad(hash[AA+1], x , y , z-1 ), // CORNERS grad(hash[BA+1], x-1, y , z-1 )), // OF CUBE lerp(u, grad(hash[AB+1], x , y-1, z-1 ), grad(hash[BB+1], x-1, y-1, z-1 )))); } /* for use with BLI_gNoise()/BLI_gTurbulence(), returns unsigned improved perlin noise */ static float newPerlinU(float x, float y, float z) { return (0.5+0.5*newPerlin(x, y, z)); } /**************************/ /* END OF IMPROVED PERLIN */ /**************************/ /* Was BLI_hnoise(), removed noisesize, so other functions can call it without scaling. */ static float orgBlenderNoise(float x, float y, float z) { register float cn1, cn2, cn3, cn4, cn5, cn6, i, *h; float ox, oy, oz, jx, jy, jz; float n= 0.5; int ix, iy, iz, b00, b01, b10, b11, b20, b21; ox= (x- (ix= (int)floor(x)) ); oy= (y- (iy= (int)floor(y)) ); oz= (z- (iz= (int)floor(z)) ); jx= ox-1; jy= oy-1; jz= oz-1; cn1=ox*ox; cn2=oy*oy; cn3=oz*oz; cn4=jx*jx; cn5=jy*jy; cn6=jz*jz; cn1= 1.0-3.0*cn1+2.0*cn1*ox; cn2= 1.0-3.0*cn2+2.0*cn2*oy; cn3= 1.0-3.0*cn3+2.0*cn3*oz; cn4= 1.0-3.0*cn4-2.0*cn4*jx; cn5= 1.0-3.0*cn5-2.0*cn5*jy; cn6= 1.0-3.0*cn6-2.0*cn6*jz; b00= hash[ hash[ix & 255]+(iy & 255)]; b10= hash[ hash[(ix+1) & 255]+(iy & 255)]; b01= hash[ hash[ix & 255]+((iy+1) & 255)]; b11= hash[ hash[(ix+1) & 255]+((iy+1) & 255)]; b20=iz & 255; b21= (iz+1) & 255; /* 0 */ i= (cn1*cn2*cn3); h=hashvectf+ 3*hash[b20+b00]; n+= i*(h[0]*ox+h[1]*oy+h[2]*oz); /* 1 */ i= (cn1*cn2*cn6); h=hashvectf+ 3*hash[b21+b00]; n+= i*(h[0]*ox+h[1]*oy+h[2]*jz); /* 2 */ i= (cn1*cn5*cn3); h=hashvectf+ 3*hash[b20+b01]; n+= i*(h[0]*ox+h[1]*jy+h[2]*oz); /* 3 */ i= (cn1*cn5*cn6); h=hashvectf+ 3*hash[b21+b01]; n+= i*(h[0]*ox+h[1]*jy+h[2]*jz); /* 4 */ i= cn4*cn2*cn3; h=hashvectf+ 3*hash[b20+b10]; n+= i*(h[0]*jx+h[1]*oy+h[2]*oz); /* 5 */ i= cn4*cn2*cn6; h=hashvectf+ 3*hash[b21+b10]; n+= i*(h[0]*jx+h[1]*oy+h[2]*jz); /* 6 */ i= cn4*cn5*cn3; h=hashvectf+ 3*hash[b20+b11]; n+= i*(h[0]*jx+h[1]*jy+h[2]*oz); /* 7 */ i= (cn4*cn5*cn6); h=hashvectf+ 3*hash[b21+b11]; n+= i*(h[0]*jx+h[1]*jy+h[2]*jz); if(n<0.0) n=0.0; else if(n>1.0) n=1.0; return n; } /* as orgBlenderNoise(), returning signed noise */ static float orgBlenderNoiseS(float x, float y, float z) { return (2.0*orgBlenderNoise(x, y, z)-1.0); } /* separated from orgBlenderNoise above, with scaling */ float BLI_hnoise(float noisesize, float x, float y, float z) { if(noisesize==0.0) return 0.0; x= (1.0+x)/noisesize; y= (1.0+y)/noisesize; z= (1.0+z)/noisesize; return orgBlenderNoise(x, y, z); } /* original turbulence functions */ float BLI_turbulence(float noisesize, float x, float y, float z, int nr) { float s, d= 0.5, div=1.0; s= BLI_hnoise(noisesize, x, y, z); while(nr>0) { s+= d*BLI_hnoise(noisesize*d, x, y, z); div+= d; d*= 0.5; nr--; } return s/div; } float BLI_turbulence1(float noisesize, float x, float y, float z, int nr) { float s, d= 0.5, div=1.0; s= fabs( (-1.0+2.0*BLI_hnoise(noisesize, x, y, z))); while(nr>0) { s+= fabs(d* (-1.0+2.0*BLI_hnoise(noisesize*d, x, y, z))); div+= d; d*= 0.5; nr--; } return s/div; } /* ********************* FROM PERLIN HIMSELF: ******************** */ static char p[512+2]= { 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0xBF,0x33,0x9C,0x5F,0x9,0x94,0xA3,0x85,0x6,0xC6,0x9A,0x1E,0x7B,0x46,0x15,0x30,0x27,0x2B,0x1B,0x71,0x3C,0x5B,0xD6,0x6F,0x62,0xAC,0x4F,0xC2,0xC0,0xE,0xB1,0x23,0xA7,0xDF,0x47,0xB0,0x77,0x69,0x5,0xE9,0xE6,0xE7,0x76,0x73,0xF,0xFE,0x6E,0x9B,0x56,0xEF,0x12,0xA5,0x37,0xFC,0xAE,0xD9,0x3,0x8E,0xDD,0x10,0xB9,0xCE,0xC9,0x8D, 0xDA,0x2A,0xBD,0x68,0x17,0x9F,0xBE,0xD4,0xA,0xCC,0xD2,0xE8,0x43,0x3D,0x70,0xB7,0x2,0x7D,0x99,0xD8,0xD,0x60,0x8A,0x4,0x2C,0x3E,0x92,0xE5,0xAF,0x53,0x7,0xE0,0x29,0xA6,0xC5,0xE3,0xF5,0xF7,0x4A,0x41,0x26,0x6A,0x16,0x5E,0x52,0x2D,0x21,0xAD,0xF0,0x91,0xFF,0xEA,0x54,0xFA,0x66,0x1A,0x45,0x39,0xCF,0x75,0xA4,0x88,0xFB,0x5D, 0xA2,0xA0}; float g[512+2][3]= { {0.33783, 0.715698, -0.611206}, {-0.944031, -0.326599, -0.045624}, {-0.101074, -0.416443, -0.903503}, {0.799286, 0.49411, -0.341949}, {-0.854645, 0.518036, 0.033936}, {0.42514, -0.437866, -0.792114}, {-0.358948, 0.597046, 0.717377}, {-0.985413, 0.144714, 0.089294}, {-0.601776, -0.33728, -0.723907}, {-0.449921, 0.594513, 0.666382}, {0.208313, -0.10791, 0.972076}, {0.575317, 0.060425, 0.815643}, {0.293365, -0.875702, -0.383453}, {0.293762, 0.465759, 0.834686}, {-0.846008, -0.233398, -0.47934}, {-0.115814, 0.143036, -0.98291}, {0.204681, -0.949036, -0.239532}, {0.946716, -0.263947, 0.184326}, {-0.235596, 0.573822, 0.784332}, {0.203705, -0.372253, -0.905487}, {0.756989, -0.651031, 0.055298}, {0.497803, 0.814697, -0.297363}, {-0.16214, 0.063995, -0.98468}, {-0.329254, 0.834381, 0.441925}, {0.703827, -0.527039, -0.476227}, {0.956421, 0.266113, 0.119781}, {0.480133, 0.482849, 0.7323}, {-0.18631, 0.961212, -0.203125}, {-0.748474, -0.656921, -0.090393}, {-0.085052, -0.165253, 0.982544}, {-0.76947, 0.628174, -0.115234}, {0.383148, 0.537659, 0.751068}, {0.616486, -0.668488, -0.415924}, {-0.259979, -0.630005, 0.73175}, {0.570953, -0.087952, 0.816223}, {-0.458008, 0.023254, 0.888611}, {-0.196167, 0.976563, -0.088287}, {-0.263885, -0.69812, -0.665527}, {0.437134, -0.892273, -0.112793}, {-0.621674, -0.230438, 0.748566}, {0.232422, 0.900574, -0.367249}, {0.22229, -0.796143, 0.562744}, {-0.665497, -0.73764, 0.11377}, {0.670135, 0.704803, 0.232605}, {0.895599, 0.429749, -0.114655}, {-0.11557, -0.474243, 0.872742}, {0.621826, 0.604004, -0.498444}, {-0.832214, 0.012756, 0.55426}, {-0.702484, 0.705994, -0.089661}, {-0.692017, 0.649292, 0.315399}, {-0.175995, -0.977997, 0.111877}, {0.096954, -0.04953, 0.994019}, {0.635284, -0.606689, -0.477783}, {-0.261261, -0.607422, -0.750153}, {0.983276, 0.165436, 0.075958}, {-0.29837, 0.404083, -0.864655}, {-0.638672, 0.507721, 0.578156}, {0.388214, 0.412079, 0.824249}, {0.556183, -0.208832, 0.804352}, {0.778442, 0.562012, 0.27951}, {-0.616577, 0.781921, -0.091522}, {0.196289, 0.051056, 0.979187}, {-0.121216, 0.207153, -0.970734}, {-0.173401, -0.384735, 0.906555}, {0.161499, -0.723236, -0.671387}, {0.178497, -0.006226, -0.983887}, {-0.126038, 0.15799, 0.97934}, {0.830475, -0.024811, 0.556458}, {-0.510132, -0.76944, 0.384247}, {0.81424, 0.200104, -0.544891}, {-0.112549, -0.393311, -0.912445}, {0.56189, 0.152222, -0.813049}, {0.198914, -0.254517, -0.946381}, {-0.41217, 0.690979, -0.593811}, {-0.407257, 0.324524, 0.853668}, {-0.690186, 0.366119, -0.624115}, {-0.428345, 0.844147, -0.322296}, {-0.21228, -0.297546, -0.930756}, {-0.273071, 0.516113, 0.811798}, {0.928314, 0.371643, 0.007233}, {0.785828, -0.479218, -0.390778}, {-0.704895, 0.058929, 0.706818}, {0.173248, 0.203583, 0.963562}, {0.422211, -0.904297, -0.062469}, {-0.363312, -0.182465, 0.913605}, {0.254028, -0.552307, -0.793945}, {-0.28891, -0.765747, -0.574554}, {0.058319, 0.291382, 0.954803}, {0.946136, -0.303925, 0.111267}, {-0.078156, 0.443695, -0.892731}, {0.182098, 0.89389, 0.409515}, {-0.680298, -0.213318, 0.701141}, {0.062469, 0.848389, -0.525635}, {-0.72879, -0.641846, 0.238342}, {-0.88089, 0.427673, 0.202637}, {-0.532501, -0.21405, 0.818878}, {0.948975, -0.305084, 0.07962}, {0.925446, 0.374664, 0.055817}, {0.820923, 0.565491, 0.079102}, {0.25882, 0.099792, -0.960724}, {-0.294617, 0.910522, 0.289978}, {0.137115, 0.320038, -0.937408}, {-0.908386, 0.345276, -0.235718}, {-0.936218, 0.138763, 0.322754}, {0.366577, 0.925934, -0.090637}, {0.309296, -0.686829, -0.657684}, {0.66983, 0.024445, 0.742065}, {-0.917999, -0.059113, -0.392059}, {0.365509, 0.462158, -0.807922}, {0.083374, 0.996399, -0.014801}, {0.593842, 0.253143, -0.763672}, {0.974976, -0.165466, 0.148285}, {0.918976, 0.137299, 0.369537}, {0.294952, 0.694977, 0.655731}, {0.943085, 0.152618, -0.295319}, {0.58783, -0.598236, 0.544495}, {0.203796, 0.678223, 0.705994}, {-0.478821, -0.661011, 0.577667}, {0.719055, -0.1698, -0.673828}, {-0.132172, -0.965332, 0.225006}, {-0.981873, -0.14502, 0.121979}, {0.763458, 0.579742, 0.284546}, {-0.893188, 0.079681, 0.442474}, {-0.795776, -0.523804, 0.303802}, {0.734955, 0.67804, -0.007446}, {0.15506, 0.986267, -0.056183}, {0.258026, 0.571503, -0.778931}, {-0.681549, -0.702087, -0.206116}, {-0.96286, -0.177185, 0.203613}, {-0.470978, -0.515106, 0.716095}, {-0.740326, 0.57135, 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0.299622}, {-0.357819, 0.907654, 0.219238}, {-0.842133, -0.439117, -0.312927}, {-0.313477, 0.84433, 0.434479}, {-0.241211, 0.053253, 0.968994}, {0.063873, 0.823273, 0.563965}, {0.476288, 0.862152, -0.172516}, {0.620941, -0.298126, 0.724915}, {0.25238, -0.749359, -0.612122}, {-0.577545, 0.386566, 0.718994}, {-0.406342, -0.737976, 0.538696}, {0.04718, 0.556305, 0.82959}, {-0.802856, 0.587463, 0.101166}, {-0.707733, -0.705963, 0.026428}, {0.374908, 0.68457, 0.625092}, {0.472137, 0.208405, -0.856506}, {-0.703064, -0.581085, -0.409821}, {-0.417206, -0.736328, 0.532623}, {-0.447876, -0.20285, -0.870728}, {0.086945, -0.990417, 0.107086}, {0.183685, 0.018341, -0.982788}, {0.560638, -0.428864, 0.708282}, {0.296722, -0.952576, -0.0672}, {0.135773, 0.990265, 0.030243}, {-0.068787, 0.654724, 0.752686}, {0.762604, -0.551758, 0.337585}, {-0.819611, -0.407684, 0.402466}, {-0.727844, -0.55072, -0.408539}, {-0.855774, -0.480011, 0.19281}, {0.693176, -0.079285, 0.716339}, {0.226013, 0.650116, 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{-0.920502, 0.229095, -0.316376}, {0.7789, 0.325958, 0.535706}, {-0.912872, 0.185211, -0.36377}, {-0.184784, 0.565369, -0.803833}, {-0.018463, 0.119537, 0.992615}, {-0.259247, -0.935608, 0.239532}, {-0.82373, -0.449127, -0.345947}, {-0.433105, 0.659515, 0.614349}, {-0.822754, 0.378845, -0.423676}, {0.687195, -0.674835, -0.26889}, {-0.246582, -0.800842, 0.545715}, {-0.729187, -0.207794, 0.651978}, {0.653534, -0.610443, -0.447388}, {0.492584, -0.023346, 0.869934}, {0.609039, 0.009094, -0.79306}, {0.962494, -0.271088, -0.00885}, {0.2659, -0.004913, 0.963959}, {0.651245, 0.553619, -0.518951}, {0.280548, -0.84314, 0.458618}, {-0.175293, -0.983215, 0.049805}, {0.035339, -0.979919, 0.196045}, {-0.982941, 0.164307, -0.082245}, {0.233734, -0.97226, -0.005005}, {-0.747253, -0.611328, 0.260437}, {0.645599, 0.592773, 0.481384}, {0.117706, -0.949524, -0.29068}, {-0.535004, -0.791901, -0.294312}, {-0.627167, -0.214447, 0.748718}, {-0.047974, -0.813477, -0.57959}, {-0.175537, 0.477264, -0.860992}, {0.738556, -0.414246, -0.53183}, {0.562561, -0.704071, 0.433289}, {-0.754944, 0.64801, -0.100586}, {0.114716, 0.044525, -0.992371}, {0.966003, 0.244873, -0.082764}, {0.33783, 0.715698, -0.611206}, {-0.944031, -0.326599, -0.045624}, {-0.101074, -0.416443, -0.903503}, {0.799286, 0.49411, -0.341949}, {-0.854645, 0.518036, 0.033936}, {0.42514, -0.437866, -0.792114}, {-0.358948, 0.597046, 0.717377}, {-0.985413, 0.144714, 0.089294}, {-0.601776, -0.33728, -0.723907}, {-0.449921, 0.594513, 0.666382}, {0.208313, -0.10791, 0.972076}, {0.575317, 0.060425, 0.815643}, {0.293365, -0.875702, -0.383453}, {0.293762, 0.465759, 0.834686}, {-0.846008, -0.233398, -0.47934}, {-0.115814, 0.143036, -0.98291}, {0.204681, -0.949036, -0.239532}, {0.946716, -0.263947, 0.184326}, {-0.235596, 0.573822, 0.784332}, {0.203705, -0.372253, -0.905487}, {0.756989, -0.651031, 0.055298}, {0.497803, 0.814697, -0.297363}, {-0.16214, 0.063995, -0.98468}, {-0.329254, 0.834381, 0.441925}, {0.703827, -0.527039, -0.476227}, {0.956421, 0.266113, 0.119781}, {0.480133, 0.482849, 0.7323}, {-0.18631, 0.961212, -0.203125}, {-0.748474, -0.656921, -0.090393}, {-0.085052, -0.165253, 0.982544}, {-0.76947, 0.628174, -0.115234}, {0.383148, 0.537659, 0.751068}, {0.616486, -0.668488, -0.415924}, {-0.259979, -0.630005, 0.73175}, {0.570953, -0.087952, 0.816223}, {-0.458008, 0.023254, 0.888611}, {-0.196167, 0.976563, -0.088287}, {-0.263885, -0.69812, -0.665527}, {0.437134, -0.892273, -0.112793}, {-0.621674, -0.230438, 0.748566}, {0.232422, 0.900574, -0.367249}, {0.22229, -0.796143, 0.562744}, {-0.665497, -0.73764, 0.11377}, {0.670135, 0.704803, 0.232605}, {0.895599, 0.429749, -0.114655}, {-0.11557, -0.474243, 0.872742}, {0.621826, 0.604004, -0.498444}, {-0.832214, 0.012756, 0.55426}, {-0.702484, 0.705994, -0.089661}, {-0.692017, 0.649292, 0.315399}, {-0.175995, -0.977997, 0.111877}, {0.096954, -0.04953, 0.994019}, {0.635284, -0.606689, -0.477783}, {-0.261261, -0.607422, -0.750153}, {0.983276, 0.165436, 0.075958}, {-0.29837, 0.404083, -0.864655}, {-0.638672, 0.507721, 0.578156}, {0.388214, 0.412079, 0.824249}, {0.556183, -0.208832, 0.804352}, {0.778442, 0.562012, 0.27951}, {-0.616577, 0.781921, -0.091522}, {0.196289, 0.051056, 0.979187}, {-0.121216, 0.207153, -0.970734}, {-0.173401, -0.384735, 0.906555}, {0.161499, -0.723236, -0.671387}, {0.178497, -0.006226, -0.983887}, {-0.126038, 0.15799, 0.97934}, {0.830475, -0.024811, 0.556458}, {-0.510132, -0.76944, 0.384247}, {0.81424, 0.200104, -0.544891}, {-0.112549, -0.393311, -0.912445}, {0.56189, 0.152222, -0.813049}, {0.198914, -0.254517, -0.946381}, {-0.41217, 0.690979, -0.593811}, {-0.407257, 0.324524, 0.853668}, {-0.690186, 0.366119, -0.624115}, {-0.428345, 0.844147, -0.322296}, {-0.21228, -0.297546, -0.930756}, {-0.273071, 0.516113, 0.811798}, {0.928314, 0.371643, 0.007233}, {0.785828, -0.479218, -0.390778}, {-0.704895, 0.058929, 0.706818}, {0.173248, 0.203583, 0.963562}, {0.422211, -0.904297, -0.062469}, {-0.363312, -0.182465, 0.913605}, {0.254028, -0.552307, -0.793945}, {-0.28891, -0.765747, -0.574554}, {0.058319, 0.291382, 0.954803}, {0.946136, -0.303925, 0.111267}, {-0.078156, 0.443695, -0.892731}, {0.182098, 0.89389, 0.409515}, {-0.680298, -0.213318, 0.701141}, {0.062469, 0.848389, -0.525635}, {-0.72879, -0.641846, 0.238342}, {-0.88089, 0.427673, 0.202637}, {-0.532501, -0.21405, 0.818878}, {0.948975, -0.305084, 0.07962}, {0.925446, 0.374664, 0.055817}, {0.820923, 0.565491, 0.079102}, {0.25882, 0.099792, -0.960724}, {-0.294617, 0.910522, 0.289978}, {0.137115, 0.320038, -0.937408}, {-0.908386, 0.345276, -0.235718}, {-0.936218, 0.138763, 0.322754}, {0.366577, 0.925934, -0.090637}, {0.309296, -0.686829, -0.657684}, {0.66983, 0.024445, 0.742065}, {-0.917999, -0.059113, -0.392059}, {0.365509, 0.462158, -0.807922}, {0.083374, 0.996399, -0.014801}, {0.593842, 0.253143, -0.763672}, {0.974976, -0.165466, 0.148285}, {0.918976, 0.137299, 0.369537}, {0.294952, 0.694977, 0.655731}, {0.943085, 0.152618, -0.295319}, {0.58783, 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-0.856506}, {-0.703064, -0.581085, -0.409821}, {-0.417206, -0.736328, 0.532623}, {-0.447876, -0.20285, -0.870728}, {0.086945, -0.990417, 0.107086}, {0.183685, 0.018341, -0.982788}, {0.560638, -0.428864, 0.708282}, {0.296722, -0.952576, -0.0672}, {0.135773, 0.990265, 0.030243}, {-0.068787, 0.654724, 0.752686}, {0.762604, -0.551758, 0.337585}, {-0.819611, -0.407684, 0.402466}, {-0.727844, -0.55072, -0.408539}, {-0.855774, -0.480011, 0.19281}, {0.693176, -0.079285, 0.716339}, {0.226013, 0.650116, -0.725433}, {0.246704, 0.953369, -0.173553}, {-0.970398, -0.239227, -0.03244}, {0.136383, -0.394318, 0.908752}, {0.813232, 0.558167, 0.164368}, {0.40451, 0.549042, -0.731323}, {-0.380249, -0.566711, 0.730865}, {0.022156, 0.932739, 0.359741}, {0.00824, 0.996552, -0.082306}, {0.956635, -0.065338, -0.283722}, {-0.743561, 0.008209, 0.668579}, {-0.859589, -0.509674, 0.035767}, {-0.852234, 0.363678, -0.375977}, {-0.201965, -0.970795, -0.12915}, {0.313477, 0.947327, 0.06546}, {-0.254028, -0.528259, 0.81015}, {0.628052, 0.601105, 0.49411}, {-0.494385, 0.868378, 0.037933}, {0.275635, -0.086426, 0.957336}, {-0.197937, 0.468903, -0.860748}, {0.895599, 0.399384, 0.195801}, {0.560791, 0.825012, -0.069214}, {0.304199, -0.849487, 0.43103}, {0.096375, 0.93576, 0.339111}, {-0.051422, 0.408966, -0.911072}, {0.330444, 0.942841, -0.042389}, {-0.452362, -0.786407, 0.420563}, {0.134308, -0.933472, -0.332489}, {0.80191, -0.566711, -0.188934}, {-0.987946, -0.105988, 0.112518}, {-0.24408, 0.892242, -0.379791}, {-0.920502, 0.229095, -0.316376}, {0.7789, 0.325958, 0.535706}, {-0.912872, 0.185211, -0.36377}, {-0.184784, 0.565369, -0.803833}, {-0.018463, 0.119537, 0.992615}, {-0.259247, -0.935608, 0.239532}, {-0.82373, -0.449127, -0.345947}, {-0.433105, 0.659515, 0.614349}, {-0.822754, 0.378845, -0.423676}, {0.687195, -0.674835, -0.26889}, {-0.246582, -0.800842, 0.545715}, {-0.729187, -0.207794, 0.651978}, {0.653534, -0.610443, -0.447388}, {0.492584, -0.023346, 0.869934}, {0.609039, 0.009094, -0.79306}, {0.962494, -0.271088, -0.00885}, {0.2659, -0.004913, 0.963959}, {0.651245, 0.553619, -0.518951}, {0.280548, -0.84314, 0.458618}, {-0.175293, -0.983215, 0.049805}, {0.035339, -0.979919, 0.196045}, {-0.982941, 0.164307, -0.082245}, {0.233734, -0.97226, -0.005005}, {-0.747253, -0.611328, 0.260437}, {0.645599, 0.592773, 0.481384}, {0.117706, -0.949524, -0.29068}, {-0.535004, -0.791901, -0.294312}, {-0.627167, -0.214447, 0.748718}, {-0.047974, -0.813477, -0.57959}, {-0.175537, 0.477264, -0.860992}, {0.738556, -0.414246, -0.53183}, {0.562561, -0.704071, 0.433289}, {-0.754944, 0.64801, -0.100586}, {0.114716, 0.044525, -0.992371}, {0.966003, 0.244873, -0.082764}, {0.33783, 0.715698, -0.611206}, {-0.944031, -0.326599, -0.045624}, }; #define DOT(a,b) (a[0] * b[0] + a[1] * b[1] + a[2] * b[2]) #define setup(i,b0,b1,r0,r1) \ t = vec[i] + 10000.; \ b0 = ((int)t) & 255; \ b1 = (b0+1) & 255; \ r0 = t - (int)t; \ r1 = r0 - 1.; float noise3_perlin(float vec[3]) { int bx0, bx1, by0, by1, bz0, bz1, b00, b10, b01, b11; float rx0, rx1, ry0, ry1, rz0, rz1, *q, sx, sy, sz, a, b, c, d, t, u, v; register int i, j; setup(0, bx0,bx1, rx0,rx1); setup(1, by0,by1, ry0,ry1); setup(2, bz0,bz1, rz0,rz1); i = p[ bx0 ]; j = p[ bx1 ]; b00 = p[ i + by0 ]; b10 = p[ j + by0 ]; b01 = p[ i + by1 ]; b11 = p[ j + by1 ]; #define at(rx,ry,rz) ( rx * q[0] + ry * q[1] + rz * q[2] ) #define surve(t) ( t * t * (3. - 2. * t) ) /* lerp moved to improved perlin above */ sx = surve(rx0); sy = surve(ry0); sz = surve(rz0); q = g[ b00 + bz0 ] ; u = at(rx0,ry0,rz0); q = g[ b10 + bz0 ] ; v = at(rx1,ry0,rz0); a = lerp(sx, u, v); q = g[ b01 + bz0 ] ; u = at(rx0,ry1,rz0); q = g[ b11 + bz0 ] ; v = at(rx1,ry1,rz0); b = lerp(sx, u, v); c = lerp(sy, a, b); /* interpolate in y at lo x */ q = g[ b00 + bz1 ] ; u = at(rx0,ry0,rz1); q = g[ b10 + bz1 ] ; v = at(rx1,ry0,rz1); a = lerp(sx, u, v); q = g[ b01 + bz1 ] ; u = at(rx0,ry1,rz1); q = g[ b11 + bz1 ] ; v = at(rx1,ry1,rz1); b = lerp(sx, u, v); d = lerp(sy, a, b); /* interpolate in y at hi x */ return 1.5 * lerp(sz, c, d); /* interpolate in z */ } float turbulence_perlin(float *point, float lofreq, float hifreq) { float freq, t, p[3]; p[0] = point[0] + 123.456; p[1] = point[1]; p[2] = point[2]; t = 0; for (freq = lofreq ; freq < hifreq ; freq *= 2.) { t += fabs(noise3_perlin(p)) / freq; p[0] *= 2.; p[1] *= 2.; p[2] *= 2.; } return t - 0.3; /* readjust to make mean value = 0.0 */ } /* for use with BLI_gNoise/gTurbulence, returns signed noise */ static float orgPerlinNoise(float x, float y, float z) { float v[3]; v[0] = x; v[1] = y; v[2] = z; return noise3_perlin(v); } /* for use with BLI_gNoise/gTurbulence, returns unsigned noise */ static float orgPerlinNoiseU(float x, float y, float z) { float v[3]; v[0] = x; v[1] = y; v[2] = z; return (0.5+0.5*noise3_perlin(v)); } /* *************** CALL AS: *************** */ float BLI_hnoisep(float noisesize, float x, float y, float z) { float vec[3]; vec[0]= x/noisesize; vec[1]= y/noisesize; vec[2]= z/noisesize; return noise3_perlin(vec); } float turbulencep(float noisesize, float x, float y, float z, int nr) { float vec[3]; vec[0]= x/noisesize; vec[1]= y/noisesize; vec[2]= z/noisesize; nr++; return turbulence_perlin(vec, 1.0, (float)(1<y)?x:y; return ((z>t)?z:t); } /* minkovsky preset exponent 0.5 */ static float dist_MinkovskyH(float x, float y, float z, float e) { float d = sqrt(fabs(x)) + sqrt(fabs(y)) + sqrt(fabs(z)); return (d*d); } /* minkovsky preset exponent 4 */ static float dist_Minkovsky4(float x, float y, float z, float e) { x *= x; y *= y; z *= z; return sqrt(sqrt(x*x + y*y + z*z)); } /* Minkovsky, general case, slow, maybe too slow to be useful */ static float dist_Minkovsky(float x, float y, float z, float e) { return pow(pow(fabs(x), e) + pow(fabs(y), e) + pow(fabs(z), e), 1.0/e); } /* Not 'pure' Worley, but the results are virtually the same. Returns distances in da and point coords in pa */ void voronoi(float x, float y, float z, float* da, float* pa, float me, int dtype) { int xx, yy, zz, xi, yi, zi; float xd, yd, zd, d, *p; float (*distfunc)(float, float, float, float); switch (dtype) { case 1: distfunc = dist_Squared; break; case 2: distfunc = dist_Manhattan; break; case 3: distfunc = dist_Chebychev; break; case 4: distfunc = dist_MinkovskyH; break; case 5: distfunc = dist_Minkovsky4; break; case 6: distfunc = dist_Minkovsky; break; case 0: default: distfunc = dist_Real; } xi = (int)(floor(x)); yi = (int)(floor(y)); zi = (int)(floor(z)); da[0] = da[1] = da[2] = da[3] = 1e10f; for (xx=xi-1;xx<=xi+1;xx++) { for (yy=yi-1;yy<=yi+1;yy++) { for (zz=zi-1;zz<=zi+1;zz++) { p = HASHPNT(xx, yy, zz); xd = x - (p[0] + xx); yd = y - (p[1] + yy); zd = z - (p[2] + zz); d = distfunc(xd, yd, zd, me); if (d1.f) return 1.f; return t; } /* Signed version of all 6 of the above, just 2x-1, not really correct though (range is potentially (0, sqrt(6)). Used in the musgrave functions */ static float voronoi_F1S(float x, float y, float z) { float da[4], pa[12]; voronoi(x, y, z, da, pa, 1, 0); return (2.0*da[0]-1.0); } static float voronoi_F2S(float x, float y, float z) { float da[4], pa[12]; voronoi(x, y, z, da, pa, 1, 0); return (2.0*da[1]-1.0); } static float voronoi_F3S(float x, float y, float z) { float da[4], pa[12]; voronoi(x, y, z, da, pa, 1, 0); return (2.0*da[2]-1.0); } static float voronoi_F4S(float x, float y, float z) { float da[4], pa[12]; voronoi(x, y, z, da, pa, 1, 0); return (2.0*da[3]-1.0); } static float voronoi_F1F2S(float x, float y, float z) { float da[4], pa[12]; voronoi(x, y, z, da, pa, 1, 0); return (2.0*(da[1]-da[0])-1.0); } /* Crackle type pattern, just a scale/clamp of F2-F1 */ static float voronoi_CrS(float x, float y, float z) { float t = 10*voronoi_F1F2(x, y, z); if (t>1.f) return 1.f; return (2.0*t-1.0); } /***************/ /* voronoi end */ /***************/ /*************/ /* CELLNOISE */ /*************/ /* returns unsigned cellnoise */ static float cellNoiseU(float x, float y, float z) { int xi = (int)(floor(x)); int yi = (int)(floor(y)); int zi = (int)(floor(z)); unsigned int n = xi + yi*1301 + zi*314159; n ^= (n<<13); return ((float)(n*(n*n*15731 + 789221) + 1376312589) / 4294967296.0); } /* idem, signed */ float cellNoise(float x, float y, float z) { return (2.0*cellNoiseU(x, y, z)-1.0); } /* returns a vector/point/color in ca, using point hasharray directly */ void cellNoiseV(float x, float y, float z, float *ca) { int xi = (int)(floor(x)); int yi = (int)(floor(y)); int zi = (int)(floor(z)); float *p = HASHPNT(xi, yi, zi); ca[0] = p[0]; ca[1] = p[1]; ca[2] = p[2]; } /*****************/ /* end cellnoise */ /*****************/ /* newnoise: generic noise function for use with different noisebases */ float BLI_gNoise(float noisesize, float x, float y, float z, int hard, int noisebasis) { float (*noisefunc)(float, float, float); switch (noisebasis) { case 1: noisefunc = orgPerlinNoiseU; break; case 2: noisefunc = newPerlinU; break; case 3: noisefunc = voronoi_F1; break; case 4: noisefunc = voronoi_F2; break; case 5: noisefunc = voronoi_F3; break; case 6: noisefunc = voronoi_F4; break; case 7: noisefunc = voronoi_F1F2; break; case 8: noisefunc = voronoi_Cr; break; case 14: noisefunc = cellNoiseU; break; case 0: default: { noisefunc = orgBlenderNoise; /* add one to make return value same as BLI_hnoise */ x += 1; y += 1; z += 1; } } if (noisesize!=0.0) { noisesize = 1.0/noisesize; x *= noisesize; y *= noisesize; z *= noisesize; } if (hard) return fabs(2.0*noisefunc(x, y, z)-1.0); return noisefunc(x, y, z); } /* newnoise: generic turbulence function for use with different noisebasis */ float BLI_gTurbulence(float noisesize, float x, float y, float z, int oct, int hard, int noisebasis) { float (*noisefunc)(float, float, float); float sum, t, amp=1, fscale=1; int i; switch (noisebasis) { case 1: noisefunc = orgPerlinNoiseU; break; case 2: noisefunc = newPerlinU; break; case 3: noisefunc = voronoi_F1; break; case 4: noisefunc = voronoi_F2; break; case 5: noisefunc = voronoi_F3; break; case 6: noisefunc = voronoi_F4; break; case 7: noisefunc = voronoi_F1F2; break; case 8: noisefunc = voronoi_Cr; break; case 14: noisefunc = cellNoiseU; break; case 0: default: noisefunc = orgBlenderNoise; x += 1; y += 1; z += 1; } if (noisesize!=0.0) { noisesize = 1.0/noisesize; x *= noisesize; y *= noisesize; z *= noisesize; } sum = 0; for (i=0;i<=oct;i++, amp*=0.5, fscale*=2) { t = noisefunc(fscale*x, fscale*y, fscale*z); if (hard) t = fabs(2.0*t-1.0); sum += t * amp; } sum *= ((float)(1<0.001) && (i<(int)octaves); i++) { if (weight>1.0) weight=1.0; signal = (noisefunc(x, y, z) + offset) * pwr; pwr *= pwHL; result += weight * signal; weight *= gain * signal; x *= lacunarity; y *= lacunarity; z *= lacunarity; } rmd = octaves - floor(octaves); if (rmd!=0.f) result += rmd * ((noisefunc(x, y, z) + offset) * pwr); return result; } /* HybridMultifractal() */ /* Ridged multifractal terrain model. * * Some good parameter values to start with: * * H: 1.0 * offset: 1.0 * gain: 2.0 */ float mg_RidgedMultiFractal(float x, float y, float z, float H, float lacunarity, float octaves, float offset, float gain, int noisebasis) { float result, signal, weight; int i; float pwHL = pow(lacunarity, -H); float pwr = pwHL; /* starts with i=1 instead of 0 */ float (*noisefunc)(float, float, float); switch (noisebasis) { case 1: noisefunc = orgPerlinNoise; break; case 2: noisefunc = newPerlin; break; case 3: noisefunc = voronoi_F1S; break; case 4: noisefunc = voronoi_F2S; break; case 5: noisefunc = voronoi_F3S; break; case 6: noisefunc = voronoi_F4S; break; case 7: noisefunc = voronoi_F1F2S; break; case 8: noisefunc = voronoi_CrS; break; case 14: noisefunc = cellNoise; break; case 0: default: { noisefunc = orgBlenderNoiseS; } } signal = offset - fabs(noisefunc(x, y, z)); signal *= signal; result = signal; weight = 1.f; for( i=1; i<(int)octaves; i++ ) { x *= lacunarity; y *= lacunarity; z *= lacunarity; weight = signal * gain; if (weight>1.0) weight=1.0; else if (weight<0.0) weight=0.0; signal = offset - fabs(noisefunc(x, y, z)); signal *= signal; signal *= weight; result += signal * pwr; pwr *= pwHL; } return result; } /* RidgedMultifractal() */ /* "Variable Lacunarity Noise" * A distorted variety of Perlin noise. */ float mg_VLNoise(float x, float y, float z, float distortion, int nbas1, int nbas2) { float rv[3]; float (*noisefunc1)(float, float, float); float (*noisefunc2)(float, float, float); switch (nbas1) { case 1: noisefunc1 = orgPerlinNoise; break; case 2: noisefunc1 = newPerlin; break; case 3: noisefunc1 = voronoi_F1S; break; case 4: noisefunc1 = voronoi_F2S; break; case 5: noisefunc1 = voronoi_F3S; break; case 6: noisefunc1 = voronoi_F4S; break; case 7: noisefunc1 = voronoi_F1F2S; break; case 8: noisefunc1 = voronoi_CrS; break; case 14: noisefunc1 = cellNoise; break; case 0: default: { noisefunc1 = orgBlenderNoiseS; } } switch (nbas2) { case 1: noisefunc2 = orgPerlinNoise; break; case 2: noisefunc2 = newPerlin; break; case 3: noisefunc2 = voronoi_F1S; break; case 4: noisefunc2 = voronoi_F2S; break; case 5: noisefunc2 = voronoi_F3S; break; case 6: noisefunc2 = voronoi_F4S; break; case 7: noisefunc2 = voronoi_F1F2S; break; case 8: noisefunc2 = voronoi_CrS; break; case 14: noisefunc2 = cellNoise; break; case 0: default: { noisefunc2 = orgBlenderNoiseS; } } /* get a random vector and scale the randomization */ rv[0] = noisefunc1(x+13.5, y+13.5, z+13.5) * distortion; rv[1] = noisefunc1(x, y, z) * distortion; rv[2] = noisefunc1(x-13.5, y-13.5, z-13.5) * distortion; return noisefunc2(x+rv[0], y+rv[1], z+rv[2]); /* distorted-domain noise */ } /****************/ /* musgrave end */ /****************/