1409 lines
60 KiB
C
1409 lines
60 KiB
C
/*
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*
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* $Id$
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*
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* ***** BEGIN GPL/BL DUAL LICENSE BLOCK *****
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*
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* This program is free software; you can redistribute it and/or
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* modify it under the terms of the GNU General Public License
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* as published by the Free Software Foundation; either version 2
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* of the License, or (at your option) any later version. The Blender
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* Foundation also sells licenses for use in proprietary software under
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* the Blender License. See http://www.blender.org/BL/ for information
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* about this.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program; if not, write to the Free Software Foundation,
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* Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
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*
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* The Original Code is Copyright (C) 2001-2002 by NaN Holding BV.
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* All rights reserved.
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*
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* The Original Code is: all of this file.
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*
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* Contributor(s): none yet.
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*
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* ***** END GPL/BL DUAL LICENSE BLOCK *****
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*
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*/
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#ifdef _WIN32
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#pragma warning (disable : 4244) // "conversion from double to float"
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#pragma warning (disable : 4305) // "truncation from const double to float"
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#endif
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#include <math.h>
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#include "BLI_blenlib.h"
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#ifdef HAVE_CONFIG_H
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#include <config.h>
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#endif
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/* local */
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float noise3_perlin(float vec[3]);
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float turbulence_perlin(float *point, float lofreq, float hifreq);
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float turbulencep(float noisesize, float x, float y, float z, int nr);
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#define HASHVEC(x,y,z) hashvectf+3*hash[ (hash[ (hash[(z) & 255]+(y)) & 255]+(x)) & 255]
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/* needed for voronoi */
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#define HASHPNT(x,y,z) hashpntf+3*hash[ (hash[ (hash[(z) & 255]+(y)) & 255]+(x)) & 255]
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static float hashpntf[768] = {0.536902, 0.020915, 0.501445, 0.216316, 0.517036, 0.822466, 0.965315,
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0.377313, 0.678764, 0.744545, 0.097731, 0.396357, 0.247202, 0.520897,
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0.613396, 0.542124, 0.146813, 0.255489, 0.810868, 0.638641, 0.980742,
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0.292316, 0.357948, 0.114382, 0.861377, 0.629634, 0.722530, 0.714103,
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0.048549, 0.075668, 0.564920, 0.162026, 0.054466, 0.411738, 0.156897,
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0.887657, 0.599368, 0.074249, 0.170277, 0.225799, 0.393154, 0.301348,
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0.057434, 0.293849, 0.442745, 0.150002, 0.398732, 0.184582, 0.915200,
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0.630984, 0.974040, 0.117228, 0.795520, 0.763238, 0.158982, 0.616211,
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0.250825, 0.906539, 0.316874, 0.676205, 0.234720, 0.667673, 0.792225,
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0.273671, 0.119363, 0.199131, 0.856716, 0.828554, 0.900718, 0.705960,
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0.635923, 0.989433, 0.027261, 0.283507, 0.113426, 0.388115, 0.900176,
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0.637741, 0.438802, 0.715490, 0.043692, 0.202640, 0.378325, 0.450325,
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0.471832, 0.147803, 0.906899, 0.524178, 0.784981, 0.051483, 0.893369,
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0.596895, 0.275635, 0.391483, 0.844673, 0.103061, 0.257322, 0.708390,
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0.504091, 0.199517, 0.660339, 0.376071, 0.038880, 0.531293, 0.216116,
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0.138672, 0.907737, 0.807994, 0.659582, 0.915264, 0.449075, 0.627128,
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0.480173, 0.380942, 0.018843, 0.211808, 0.569701, 0.082294, 0.689488,
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0.573060, 0.593859, 0.216080, 0.373159, 0.108117, 0.595539, 0.021768,
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0.380297, 0.948125, 0.377833, 0.319699, 0.315249, 0.972805, 0.792270,
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0.445396, 0.845323, 0.372186, 0.096147, 0.689405, 0.423958, 0.055675,
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0.117940, 0.328456, 0.605808, 0.631768, 0.372170, 0.213723, 0.032700,
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0.447257, 0.440661, 0.728488, 0.299853, 0.148599, 0.649212, 0.498381,
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0.049921, 0.496112, 0.607142, 0.562595, 0.990246, 0.739659, 0.108633,
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0.978156, 0.209814, 0.258436, 0.876021, 0.309260, 0.600673, 0.713597,
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0.576967, 0.641402, 0.853930, 0.029173, 0.418111, 0.581593, 0.008394,
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0.589904, 0.661574, 0.979326, 0.275724, 0.111109, 0.440472, 0.120839,
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0.521602, 0.648308, 0.284575, 0.204501, 0.153286, 0.822444, 0.300786,
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0.303906, 0.364717, 0.209038, 0.916831, 0.900245, 0.600685, 0.890002,
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0.581660, 0.431154, 0.705569, 0.551250, 0.417075, 0.403749, 0.696652,
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0.292652, 0.911372, 0.690922, 0.323718, 0.036773, 0.258976, 0.274265,
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0.225076, 0.628965, 0.351644, 0.065158, 0.080340, 0.467271, 0.130643,
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0.385914, 0.919315, 0.253821, 0.966163, 0.017439, 0.392610, 0.478792,
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0.978185, 0.072691, 0.982009, 0.097987, 0.731533, 0.401233, 0.107570,
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0.349587, 0.479122, 0.700598, 0.481751, 0.788429, 0.706864, 0.120086,
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0.562691, 0.981797, 0.001223, 0.192120, 0.451543, 0.173092, 0.108960,
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0.549594, 0.587892, 0.657534, 0.396365, 0.125153, 0.666420, 0.385823,
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0.890916, 0.436729, 0.128114, 0.369598, 0.759096, 0.044677, 0.904752,
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0.088052, 0.621148, 0.005047, 0.452331, 0.162032, 0.494238, 0.523349,
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0.741829, 0.698450, 0.452316, 0.563487, 0.819776, 0.492160, 0.004210,
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0.647158, 0.551475, 0.362995, 0.177937, 0.814722, 0.727729, 0.867126,
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0.997157, 0.108149, 0.085726, 0.796024, 0.665075, 0.362462, 0.323124,
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0.043718, 0.042357, 0.315030, 0.328954, 0.870845, 0.683186, 0.467922,
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0.514894, 0.809971, 0.631979, 0.176571, 0.366320, 0.850621, 0.505555,
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0.749551, 0.750830, 0.401714, 0.481216, 0.438393, 0.508832, 0.867971,
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0.654581, 0.058204, 0.566454, 0.084124, 0.548539, 0.902690, 0.779571,
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0.562058, 0.048082, 0.863109, 0.079290, 0.713559, 0.783496, 0.265266,
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0.672089, 0.786939, 0.143048, 0.086196, 0.876129, 0.408708, 0.229312,
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0.629995, 0.206665, 0.207308, 0.710079, 0.341704, 0.264921, 0.028748,
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0.629222, 0.470173, 0.726228, 0.125243, 0.328249, 0.794187, 0.741340,
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0.489895, 0.189396, 0.724654, 0.092841, 0.039809, 0.860126, 0.247701,
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0.655331, 0.964121, 0.672536, 0.044522, 0.690567, 0.837238, 0.631520,
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0.953734, 0.352484, 0.289026, 0.034152, 0.852575, 0.098454, 0.795529,
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0.452181, 0.826159, 0.186993, 0.820725, 0.440328, 0.922137, 0.704592,
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0.915437, 0.738183, 0.733461, 0.193798, 0.929213, 0.161390, 0.318547,
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0.888751, 0.430968, 0.740837, 0.193544, 0.872253, 0.563074, 0.274598,
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0.347805, 0.666176, 0.449831, 0.800991, 0.588727, 0.052296, 0.714761,
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0.420620, 0.570325, 0.057550, 0.210888, 0.407312, 0.662848, 0.924382,
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0.895958, 0.775198, 0.688605, 0.025721, 0.301913, 0.791408, 0.500602,
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0.831984, 0.828509, 0.642093, 0.494174, 0.525880, 0.446365, 0.440063,
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0.763114, 0.630358, 0.223943, 0.333806, 0.906033, 0.498306, 0.241278,
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0.427640, 0.772683, 0.198082, 0.225379, 0.503894, 0.436599, 0.016503,
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0.803725, 0.189878, 0.291095, 0.499114, 0.151573, 0.079031, 0.904618,
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0.708535, 0.273900, 0.067419, 0.317124, 0.936499, 0.716511, 0.543845,
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0.939909, 0.826574, 0.715090, 0.154864, 0.750150, 0.845808, 0.648108,
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0.556564, 0.644757, 0.140873, 0.799167, 0.632989, 0.444245, 0.471978,
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0.435910, 0.359793, 0.216241, 0.007633, 0.337236, 0.857863, 0.380247,
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0.092517, 0.799973, 0.919000, 0.296798, 0.096989, 0.854831, 0.165369,
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0.568475, 0.216855, 0.020457, 0.835511, 0.538039, 0.999742, 0.620226,
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0.244053, 0.060399, 0.323007, 0.294874, 0.988899, 0.384919, 0.735655,
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0.773428, 0.549776, 0.292882, 0.660611, 0.593507, 0.621118, 0.175269,
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0.682119, 0.794493, 0.868197, 0.632150, 0.807823, 0.509656, 0.482035,
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0.001780, 0.259126, 0.358002, 0.280263, 0.192985, 0.290367, 0.208111,
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0.917633, 0.114422, 0.925491, 0.981110, 0.255570, 0.974862, 0.016629,
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0.552599, 0.575741, 0.612978, 0.615965, 0.803615, 0.772334, 0.089745,
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0.838812, 0.634542, 0.113709, 0.755832, 0.577589, 0.667489, 0.529834,
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0.325660, 0.817597, 0.316557, 0.335093, 0.737363, 0.260951, 0.737073,
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0.049540, 0.735541, 0.988891, 0.299116, 0.147695, 0.417271, 0.940811,
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0.524160, 0.857968, 0.176403, 0.244835, 0.485759, 0.033353, 0.280319,
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0.750688, 0.755809, 0.924208, 0.095956, 0.962504, 0.275584, 0.173715,
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0.942716, 0.706721, 0.078464, 0.576716, 0.804667, 0.559249, 0.900611,
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0.646904, 0.432111, 0.927885, 0.383277, 0.269973, 0.114244, 0.574867,
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0.150703, 0.241855, 0.272871, 0.199950, 0.079719, 0.868566, 0.962833,
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0.789122, 0.320025, 0.905554, 0.234876, 0.991356, 0.061913, 0.732911,
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0.785960, 0.874074, 0.069035, 0.658632, 0.309901, 0.023676, 0.791603,
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0.764661, 0.661278, 0.319583, 0.829650, 0.117091, 0.903124, 0.982098,
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0.161631, 0.193576, 0.670428, 0.857390, 0.003760, 0.572578, 0.222162,
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0.114551, 0.420118, 0.530404, 0.470682, 0.525527, 0.764281, 0.040596,
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0.443275, 0.501124, 0.816161, 0.417467, 0.332172, 0.447565, 0.614591,
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0.559246, 0.805295, 0.226342, 0.155065, 0.714630, 0.160925, 0.760001,
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0.453456, 0.093869, 0.406092, 0.264801, 0.720370, 0.743388, 0.373269,
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0.403098, 0.911923, 0.897249, 0.147038, 0.753037, 0.516093, 0.739257,
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0.175018, 0.045768, 0.735857, 0.801330, 0.927708, 0.240977, 0.591870,
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0.921831, 0.540733, 0.149100, 0.423152, 0.806876, 0.397081, 0.061100,
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0.811630, 0.044899, 0.460915, 0.961202, 0.822098, 0.971524, 0.867608,
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0.773604, 0.226616, 0.686286, 0.926972, 0.411613, 0.267873, 0.081937,
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0.226124, 0.295664, 0.374594, 0.533240, 0.237876, 0.669629, 0.599083,
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0.513081, 0.878719, 0.201577, 0.721296, 0.495038, 0.079760, 0.965959,
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0.233090, 0.052496, 0.714748, 0.887844, 0.308724, 0.972885, 0.723337,
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0.453089, 0.914474, 0.704063, 0.823198, 0.834769, 0.906561, 0.919600,
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0.100601, 0.307564, 0.901977, 0.468879, 0.265376, 0.885188, 0.683875,
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0.868623, 0.081032, 0.466835, 0.199087, 0.663437, 0.812241, 0.311337,
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0.821361, 0.356628, 0.898054, 0.160781, 0.222539, 0.714889, 0.490287,
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0.984915, 0.951755, 0.964097, 0.641795, 0.815472, 0.852732, 0.862074,
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0.051108, 0.440139, 0.323207, 0.517171, 0.562984, 0.115295, 0.743103,
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0.977914, 0.337596, 0.440694, 0.535879, 0.959427, 0.351427, 0.704361,
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0.010826, 0.131162, 0.577080, 0.349572, 0.774892, 0.425796, 0.072697,
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0.500001, 0.267322, 0.909654, 0.206176, 0.223987, 0.937698, 0.323423,
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0.117501, 0.490308, 0.474372, 0.689943, 0.168671, 0.719417, 0.188928,
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0.330464, 0.265273, 0.446271, 0.171933, 0.176133, 0.474616, 0.140182,
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0.114246, 0.905043, 0.713870, 0.555261, 0.951333};
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unsigned char hash[512]= {
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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,
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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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|
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,
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|
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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|
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,
|
|
};
|
|
|
|
|
|
float hashvectf[768]= {
|
|
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,-0.740326,0.57135,0.354095,-0.56012,-0.824982,-0.074982,-0.507874,0.753204,0.417969,-0.503113,0.038147,0.863342,0.594025,0.673553,-0.439758,-0.119873,-0.005524,-0.992737,0.098267,-0.213776,0.971893,-0.615631,0.643951,0.454163,0.896851,-0.441071,
|
|
0.032166,-0.555023,0.750763,-0.358093,0.398773,0.304688,0.864929,-0.722961,0.303589,0.620544,-0.63559,-0.621948,-0.457306,-0.293243,0.072327,0.953278,-0.491638,0.661041,-0.566772,-0.304199,-0.572083,-0.761688,0.908081,-0.398956,0.127014,-0.523621,-0.549683,-0.650848,-0.932922,-0.19986,0.299408,0.099426,
|
|
0.140869,0.984985,-0.020325,-0.999756,-0.002319,0.952667,0.280853,-0.11615,-0.971893,0.082581,0.220337,0.65921,0.705292,-0.260651,0.733063,-0.175537,0.657043,-0.555206,0.429504,-0.712189,0.400421,-0.89859,0.179352,0.750885,-0.19696,0.630341,0.785675,-0.569336,0.241821,-0.058899,-0.464111,0.883789,
|
|
0.129608,-0.94519,0.299622,-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,-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,
|
|
};
|
|
|
|
/**************************/
|
|
/* 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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|
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,
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|
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,
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|
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};
|
|
|
|
|
|
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,-0.740326,0.57135,0.354095,-0.56012,-0.824982,-0.074982,-0.507874,0.753204,0.417969,-0.503113,0.038147,0.863342,0.594025,0.673553,-0.439758,-0.119873,-0.005524,-0.992737,0.098267,-0.213776,0.971893,-0.615631,0.643951,0.454163,0.896851,-0.441071,
|
|
0.032166,-0.555023,0.750763,-0.358093,0.398773,0.304688,0.864929,-0.722961,0.303589,0.620544,-0.63559,-0.621948,-0.457306,-0.293243,0.072327,0.953278,-0.491638,0.661041,-0.566772,-0.304199,-0.572083,-0.761688,0.908081,-0.398956,0.127014,-0.523621,-0.549683,-0.650848,-0.932922,-0.19986,0.299408,0.099426,
|
|
0.140869,0.984985,-0.020325,-0.999756,-0.002319,0.952667,0.280853,-0.11615,-0.971893,0.082581,0.220337,0.65921,0.705292,-0.260651,0.733063,-0.175537,0.657043,-0.555206,0.429504,-0.712189,0.400421,-0.89859,0.179352,0.750885,-0.19696,0.630341,0.785675,-0.569336,0.241821,-0.058899,-0.464111,0.883789,
|
|
0.129608,-0.94519,0.299622,-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,-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,-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,-0.740326,0.57135,0.354095,-0.56012,-0.824982,-0.074982,-0.507874,0.753204,0.417969,-0.503113,0.038147,0.863342,0.594025,0.673553,-0.439758,-0.119873,-0.005524,-0.992737,0.098267,-0.213776,0.971893,-0.615631,0.643951,0.454163,0.896851,-0.441071,
|
|
0.032166,-0.555023,0.750763,-0.358093,0.398773,0.304688,0.864929,-0.722961,0.303589,0.620544,-0.63559,-0.621948,-0.457306,-0.293243,0.072327,0.953278,-0.491638,0.661041,-0.566772,-0.304199,-0.572083,-0.761688,0.908081,-0.398956,0.127014,-0.523621,-0.549683,-0.650848,-0.932922,-0.19986,0.299408,0.099426,
|
|
0.140869,0.984985,-0.020325,-0.999756,-0.002319,0.952667,0.280853,-0.11615,-0.971893,0.082581,0.220337,0.65921,0.705292,-0.260651,0.733063,-0.175537,0.657043,-0.555206,0.429504,-0.712189,0.400421,-0.89859,0.179352,0.750885,-0.19696,0.630341,0.785675,-0.569336,0.241821,-0.058899,-0.464111,0.883789,
|
|
0.129608,-0.94519,0.299622,-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,-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<<nr));
|
|
}
|
|
|
|
/******************/
|
|
/* VORONOI/WORLEY */
|
|
/******************/
|
|
|
|
/* distance metrics for voronoi, e parameter only used in Minkovsky */
|
|
/* Camberra omitted, didn't seem useful */
|
|
|
|
/* distance squared */
|
|
static float dist_Squared(float x, float y, float z, float e) { return (x*x + y*y + z*z); }
|
|
/* real distance */
|
|
static float dist_Real(float x, float y, float z, float e) { return sqrt(x*x + y*y + z*z); }
|
|
/* manhattan/taxicab/cityblock distance */
|
|
static float dist_Manhattan(float x, float y, float z, float e) { return (fabs(x) + fabs(y) + fabs(z)); }
|
|
/* Chebychev */
|
|
static float dist_Chebychev(float x, float y, float z, float e)
|
|
{
|
|
float t;
|
|
x = fabs(x);
|
|
y = fabs(y);
|
|
z = fabs(z);
|
|
t = (x>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 (d<da[0]) {
|
|
da[3]=da[2]; da[2]=da[1]; da[1]=da[0]; da[0]=d;
|
|
pa[9]=pa[6]; pa[10]=pa[7]; pa[11]=pa[8];
|
|
pa[6]=pa[3]; pa[7]=pa[4]; pa[8]=pa[5];
|
|
pa[3]=pa[0]; pa[4]=pa[1]; pa[5]=pa[2];
|
|
pa[0]=p[0]+xx; pa[1]=p[1]+yy; pa[2]=p[2]+zz;
|
|
}
|
|
else if (d<da[1]) {
|
|
da[3]=da[2]; da[2]=da[1]; da[1]=d;
|
|
pa[9]=pa[6]; pa[10]=pa[7]; pa[11]=pa[8];
|
|
pa[6]=pa[3]; pa[7]=pa[4]; pa[8]=pa[5];
|
|
pa[3]=p[0]+xx; pa[4]=p[1]+yy; pa[5]=p[2]+zz;
|
|
}
|
|
else if (d<da[2]) {
|
|
da[3]=da[2]; da[2]=d;
|
|
pa[9]=pa[6]; pa[10]=pa[7]; pa[11]=pa[8];
|
|
pa[6]=p[0]+xx; pa[7]=p[1]+yy; pa[8]=p[2]+zz;
|
|
}
|
|
else if (d<da[3]) {
|
|
da[3]=d;
|
|
pa[9]=p[0]+xx; pa[10]=p[1]+yy; pa[11]=p[2]+zz;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
/* returns different feature points for use in BLI_gNoise() */
|
|
static float voronoi_F1(float x, float y, float z)
|
|
{
|
|
float da[4], pa[12];
|
|
voronoi(x, y, z, da, pa, 1, 0);
|
|
return da[0];
|
|
}
|
|
|
|
static float voronoi_F2(float x, float y, float z)
|
|
{
|
|
float da[4], pa[12];
|
|
voronoi(x, y, z, da, pa, 1, 0);
|
|
return da[1];
|
|
}
|
|
|
|
static float voronoi_F3(float x, float y, float z)
|
|
{
|
|
float da[4], pa[12];
|
|
voronoi(x, y, z, da, pa, 1, 0);
|
|
return da[2];
|
|
}
|
|
|
|
static float voronoi_F4(float x, float y, float z)
|
|
{
|
|
float da[4], pa[12];
|
|
voronoi(x, y, z, da, pa, 1, 0);
|
|
return da[3];
|
|
}
|
|
|
|
static float voronoi_F1F2(float x, float y, float z)
|
|
{
|
|
float da[4], pa[12];
|
|
voronoi(x, y, z, da, pa, 1, 0);
|
|
return (da[1]-da[0]);
|
|
}
|
|
|
|
/* Crackle type pattern, just a scale/clamp of F2-F1 */
|
|
static float voronoi_Cr(float x, float y, float z)
|
|
{
|
|
float t = 10*voronoi_F1F2(x, y, z);
|
|
if (t>1.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<<oct)/(float)((1<<(oct+1))-1));
|
|
|
|
return sum;
|
|
|
|
}
|
|
|
|
|
|
/*************************************/
|
|
/* NOISE FUNCTIONS BY KEN MUSGRAVE */
|
|
/* Copyright 1994 F. Kenton Musgrave */
|
|
/*************************************/
|
|
|
|
/* All of these are modified to be able to use them with different noisebasis.
|
|
In some cases the original code seemed to contain errors, so it is not exactly
|
|
the same now as the orginal code (from "Texturing and Modelling: A procedural approach") */
|
|
|
|
/*
|
|
* Procedural fBm evaluated at "point"; returns value stored in "value".
|
|
*
|
|
* Copyright 1994 F. Kenton Musgrave
|
|
*
|
|
* Parameters:
|
|
* ``H'' is the fractal increment parameter
|
|
* ``lacunarity'' is the gap between successive frequencies
|
|
* ``octaves'' is the number of frequencies in the fBm
|
|
*/
|
|
float mg_fBm(float x, float y, float z, float H, float lacunarity, float octaves, int noisebasis)
|
|
{
|
|
float rmd, value=0.0, pwr=1.0, pwHL=pow(lacunarity, -H);
|
|
int i;
|
|
|
|
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;
|
|
}
|
|
}
|
|
|
|
for (i=0; i<(int)octaves; i++) {
|
|
value += noisefunc(x, y, z) * pwr;
|
|
pwr *= pwHL;
|
|
x *= lacunarity;
|
|
y *= lacunarity;
|
|
z *= lacunarity;
|
|
}
|
|
|
|
rmd = octaves - floor(octaves);
|
|
if (rmd!=0.f) value += rmd * noisefunc(x, y, z) * pwr;
|
|
|
|
return value;
|
|
|
|
} /* fBm() */
|
|
|
|
|
|
/*
|
|
* Procedural multifractal evaluated at "point";
|
|
* returns value stored in "value".
|
|
*
|
|
* Copyright 1994 F. Kenton Musgrave
|
|
*
|
|
* Parameters:
|
|
* ``H'' determines the highest fractal dimension
|
|
* ``lacunarity'' is gap between successive frequencies
|
|
* ``octaves'' is the number of frequencies in the fBm
|
|
* ``offset'' is the zero offset, which determines multifractality (NOT USED??)
|
|
*/
|
|
/* this one is in fact rather confusing,
|
|
* there seem to be errors in the original source code (in all three versions of proc.text&mod),
|
|
* I modified it to something that made sense to me, so it might be wrong... */
|
|
float mg_MultiFractal(float x, float y, float z, float H, float lacunarity, float octaves, int noisebasis)
|
|
{
|
|
float rmd, value=1.0, pwr=1.0, pwHL=pow(lacunarity, -H);
|
|
int i;
|
|
|
|
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;
|
|
}
|
|
}
|
|
|
|
for (i=0; i<(int)octaves; i++) {
|
|
value *= (pwr * noisefunc(x, y, z) + 1.0);
|
|
pwr *= pwHL;
|
|
x *= lacunarity;
|
|
y *= lacunarity;
|
|
z *= lacunarity;
|
|
}
|
|
rmd = octaves - floor(octaves);
|
|
if (rmd!=0.0) value *= (rmd * noisefunc(x, y, z) * pwr + 1.0);
|
|
|
|
return value;
|
|
|
|
} /* multifractal() */
|
|
|
|
/*
|
|
* Heterogeneous procedural terrain function: stats by altitude method.
|
|
* Evaluated at "point"; returns value stored in "value".
|
|
*
|
|
* Copyright 1994 F. Kenton Musgrave
|
|
*
|
|
* Parameters:
|
|
* ``H'' determines the fractal dimension of the roughest areas
|
|
* ``lacunarity'' is the gap between successive frequencies
|
|
* ``octaves'' is the number of frequencies in the fBm
|
|
* ``offset'' raises the terrain from `sea level'
|
|
*/
|
|
float mg_HeteroTerrain(float x, float y, float z, float H, float lacunarity, float octaves, float offset, int noisebasis)
|
|
{
|
|
float value, increment, rmd;
|
|
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;
|
|
}
|
|
}
|
|
|
|
/* first unscaled octave of function; later octaves are scaled */
|
|
value = offset + noisefunc(x, y, z);
|
|
x *= lacunarity;
|
|
y *= lacunarity;
|
|
z *= lacunarity;
|
|
|
|
for (i=1; i<(int)octaves; i++) {
|
|
increment = (noisefunc(x, y, z) + offset) * pwr * value;
|
|
value += increment;
|
|
pwr *= pwHL;
|
|
x *= lacunarity;
|
|
y *= lacunarity;
|
|
z *= lacunarity;
|
|
}
|
|
|
|
rmd = octaves - floor(octaves);
|
|
if (rmd!=0.0) {
|
|
increment = (noisefunc(x, y, z) + offset) * pwr * value;
|
|
value += rmd * increment;
|
|
}
|
|
return value;
|
|
}
|
|
|
|
|
|
/* Hybrid additive/multiplicative multifractal terrain model.
|
|
*
|
|
* Copyright 1994 F. Kenton Musgrave
|
|
*
|
|
* Some good parameter values to start with:
|
|
*
|
|
* H: 0.25
|
|
* offset: 0.7
|
|
*/
|
|
float mg_HybridMultiFractal(float x, float y, float z, float H, float lacunarity, float octaves, float offset, float gain, int noisebasis)
|
|
{
|
|
float result, signal, weight, rmd;
|
|
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;
|
|
}
|
|
}
|
|
|
|
result = noisefunc(x, y, z) + offset;
|
|
weight = gain * result;
|
|
x *= lacunarity;
|
|
y *= lacunarity;
|
|
z *= lacunarity;
|
|
|
|
for (i=1; (weight>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.
|
|
*
|
|
* Copyright 1994 F. Kenton Musgrave
|
|
*
|
|
* 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.
|
|
*
|
|
* Copyright 1994 F. Kenton Musgrave
|
|
*/
|
|
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 */
|
|
/****************/
|