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Noise.cpp

#define _USE_MATH_DEFINES
#include <cmath>
#include "Noise.h"

#ifdef _MSC_VER
#pragma warning( disable : 4305 )
#pragma warning(disable : 4244)
#endif

extern "C" {
// needed for voronoi
#define HASHPNT(x,y,z) hashpntf+3*hash[ (hash[ (hash[(z) & 255]+(y)) & 255]+(x)) & 255]
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,
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,
};

}

#include "QDRender.h"
__BEGIN_QDRENDER

inline float lerp(float t, float a, float b) { return a + t*(b - a); }

//------------------------------------------------------------------------------------
// New Perlin noise


float newPerlin_t::operator() (const Point3 &pt) const
{
      float x = pt.x, y = pt.y, z = pt.z;
      float u = floorf(x), v = floorf(y), w = floorf(z);
      const 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 = fade(x);  // COMPUTE FADE CURVES
      v = fade(y);  // FOR EACH OF X,Y,Z.
      w = fade(z);
      const int 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,
      const float nv = 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 ))));
      return (0.5f + 0.5f*nv);
}

//------------------------------------------------------------------------------------
// Standard (old) Perlin noise

// unsigned!!
static unsigned char stdp_p[512+2]= {
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,
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};

static float stdp_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 stdp_at(rx,ry,rz) (rx*q[0] + ry*q[1] + rz*q[2])
#define surve(t) (t*t*(3.f - 2.f*t))
#define setup(i, b0, b1, r0, r1) \
        t = vec[i] + 10000.f; \
        b0 = ((int)t) & 255; \
        b1 = (b0 + 1) & 255; \
        r0 = t - (int)t; \
        r1 = r0 - 1.f;

float stdPerlin_t::operator() (const Point3 &pt) const
{
      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;
      float vec[3] = {pt.x, pt.y, pt.z};

      setup(0, bx0,bx1, rx0,rx1);
      setup(1, by0,by1, ry0,ry1);
      setup(2, bz0,bz1, rz0,rz1);

      const int i = stdp_p[ bx0 ], j = stdp_p[ bx1 ];

      b00 = stdp_p[ i + by0 ];
      b10 = stdp_p[ j + by0 ];
      b01 = stdp_p[ i + by1 ];
      b11 = stdp_p[ j + by1 ];

      sx = surve(rx0);
      sy = surve(ry0);
      sz = surve(rz0);

      q = stdp_g[ b00 + bz0 ] ;
      u = stdp_at(rx0,ry0,rz0);
      q = stdp_g[ b10 + bz0 ] ;
      v = stdp_at(rx1,ry0,rz0);
      a = lerp(sx, u, v);

      q = stdp_g[ b01 + bz0 ] ;
      u = stdp_at(rx0,ry1,rz0);
      q = stdp_g[ b11 + bz0 ] ;
      v = stdp_at(rx1,ry1,rz0);
      b = lerp(sx, u, v);

      c = lerp(sy, a, b);

      q = stdp_g[ b00 + bz1 ] ;
      u = stdp_at(rx0,ry0,rz1);
      q = stdp_g[ b10 + bz1 ] ;
      v = stdp_at(rx1,ry0,rz1);
      a = lerp(sx, u, v);

      q = stdp_g[ b01 + bz1 ] ;
      u = stdp_at(rx0,ry1,rz1);
      q = stdp_g[ b11 + bz1 ] ;
      v = stdp_at(rx1,ry1,rz1);
      b = lerp(sx, u, v);

      d = lerp(sy, a, b);

      return 0.5f + 0.75f*lerp(sz, c, d);
}

//------------------------------------------------------------------------------------
// Blender noise, similar to 'standard' perlin

float blenderNoise_t::operator() (const Point3 &pt) const
{
      float i, *h, n = 0.5f;
      int ix, iy, iz, b00, b01, b10, b11, b20, b21;

      const float x = pt.x, y = pt.y, z = pt.z;
      const float ox = x - (ix = (int)floorf(x));
      const float oy = y - (iy = (int)floorf(y));
      const float oz = z - (iz = (int)floorf(z));

      float jx = ox - 1, jy = oy - 1, jz = oz - 1;

      float cn1 = ox*ox, cn2 = oy*oy, cn3=oz*oz;
      float cn4 = jx*jx, cn5 = jy*jy, cn6=jz*jz;

      cn1 = 1.f - 3.f*cn1 + 2.f*cn1*ox;
      cn2 = 1.f - 3.f*cn2 + 2.f*cn2*oy;
      cn3 = 1.f - 3.f*cn3 + 2.f*cn3*oz;
      cn4 = 1.f - 3.f*cn4 - 2.f*cn4*jx;
      cn5 = 1.f - 3.f*cn5 - 2.f*cn5*jy;
      cn6 = 1.f - 3.f*cn6 - 2.f*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);

      return (n < 0.f) ? 0.f : ((n > 1.f) ? 1.f : n);
}

//------------------------------------------------------------------------------------
// Voronoi/Worley/Celullar basis

void voronoi_t::setDistM(dMetricType dm)
{
      switch(dm) {
            case DIST_SQUARED:
                  distfunc = new dist_Squared();
                  break;
            case DIST_MANHATTAN:
                  distfunc = new dist_Manhattan();
                  break;
            case DIST_CHEBYCHEV:
                  distfunc = new dist_Chebychev();
                  break;
            case DIST_MINKOVSKY_HALF:
                  distfunc = new dist_MinkovskyH();
                  break;
            case DIST_MINKOVSKY_FOUR:
                  distfunc = new dist_Minkovsky4();
                  break;
            case DIST_MINKOVSKY:
                  distfunc = new dist_Minkovsky();
                  break;
            default:
            case DIST_REAL:
                  distfunc = new dist_Real();
                  break;
      }
}

voronoi_t::voronoi_t(voronoiType vt, dMetricType dm, float mex)
{
      vType = vt;
      dmType = dm;
      mk_exp = mex;
      setDistM(dmType);
}

void voronoi_t::getFeatures(const Point3 &pt) const
{
      const int xi = (int)(floorf(pt.x));
      const int yi = (int)(floorf(pt.y));
      const int zi = (int)(floorf(pt.z));
      da[0] = da[1] = da[2] = da[3] = 1e10f;
      for (int xx = (xi - 1); xx <= (xi + 1); xx++) {
            for (int yy = (yi - 1); yy <= (yi + 1); yy++) {
                  for (int zz = (zi - 1); zz <= (zi + 1); zz++) {
                        const float* p = HASHPNT(xx, yy, zz);
                        const float xd = pt.x - (p[0] + xx);
                        const float yd = pt.y - (p[1] + yy);
                        const float zd = pt.z - (p[2] + zz);
                        const float d = (*distfunc)(xd, yd, zd, mk_exp);
                        if (d < da[0]) {
                              da[3]=da[2];  da[2]=da[1];  da[1]=da[0];  da[0]=d;
                              pa[3]=pa[2];  pa[2]=pa[1];  pa[1]=pa[0];  pa[0].set(p[0]+xx, p[1]+yy, p[2]+zz);
                        }
                        else if (d < da[1]) {
                              da[3]=da[2];  da[2]=da[1];  da[1]=d;
                              pa[3]=pa[2];  pa[2]=pa[1];  pa[1].set(p[0]+xx, p[1]+yy, p[2]+zz);
                        }
                        else if (d < da[2]) {
                              da[3]=da[2];  da[2]=d;
                              pa[3]=pa[2];  pa[2].set(p[0]+xx, p[1]+yy, p[2]+zz);
                        }
                        else if (d < da[3]) {
                              da[3]=d;
                              pa[3].set(p[0]+xx, p[1]+yy, p[2]+zz);
                        }
                  }
            }
      }
}

float voronoi_t::operator() (const Point3 &pt) const
{
      getFeatures(pt);
      switch (vType) {
            case V_F2:
                  return da[1];
            case V_F3:
                  return da[2];
            case V_F4:
                  return da[3];
            case V_F2F1:
                  return da[1]-da[0];
            case V_CRACKLE: {
                  const float t = 10.f*(da[1] - da[0]);
                  return (t > 1.f) ? 1.f : t;
            }
            default:
            case V_F1:
                  return da[0];
      }
}

// Cell noise
float cellNoise_t::operator() (const Point3 &pt) const
{
  int xi = (int)(floorf(pt.x)), yi = (int)(floorf(pt.y)), zi = (int)(floorf(pt.z));
  unsigned int n = xi + yi*1301 + zi*314159;
  n ^= (n<<13);
  return ((float)(n*(n*n*15731 + 789221) + 1376312589) / 4294967296.0);
}

//------------------------------------------------------------------------------------
// Musgrave


/*
 * 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 fBm_t::operator() (const Point3 &pt) const
{
      float value = 0, pwr = 1;
      const float pwHL = pow(lacunarity, -H);
      Point3 tp(pt);
      for (int i=0; i<(int)octaves; i++) {
            value += getSignedNoise(nGen, tp) * pwr;
            pwr *= pwHL;
            tp *= lacunarity;
      }
      const float rmd = octaves - floorf(octaves);
      if (rmd != 0.f) value += rmd * getSignedNoise(nGen, tp) * pwr;
      return value;
}


/*
 * 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 mFractal_t::operator() (const Point3 &pt) const
{
      float value = 1, pwr = 1;
      const float pwHL = pow(lacunarity, -H);
      Point3 tp(pt);
      for (int i=0; i<(int)octaves; i++) {
            value *= (pwr*getSignedNoise(nGen, tp) + 1.f);
            pwr *= pwHL;
            tp *= lacunarity;
      }
      const float rmd = octaves - floorf(octaves);
      if (rmd != 0.f) value *= (rmd * getSignedNoise(nGen, tp) * pwr + 1.f);
      return value;
}


/*
 * 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 heteroTerrain_t::operator() (const Point3 &pt) const
{
      const float pwHL = pow(lacunarity, -H);
      float pwr = pwHL; // starts with i=1 instead of 0
      Point3 tp(pt);

      // first unscaled octave of function; later octaves are scaled
      float value = offset + getSignedNoise(nGen, tp);
      tp *= lacunarity;
      float increment;
      for (int i=1; i<(int)octaves; i++) {
            increment = (getSignedNoise(nGen, tp) + offset) * pwr * value;
            value += increment;
            pwr *= pwHL;
            tp *= lacunarity;
      }

      const float rmd = octaves - floorf(octaves);
      if (rmd != 0.f) {
            increment = (getSignedNoise(nGen, tp) + 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 hybridMFractal_t::operator() (const Point3 &pt) const
{
      const float pwHL = pow(lacunarity, -H);
      float pwr = pwHL; // starts with i=1 instead of 0
      Point3 tp(pt);

      float result = getSignedNoise(nGen, tp) + offset;
      float weight = gain * result;
      tp *= lacunarity;

      for (int i=1; (weight > 0.001f) && (i<(int)octaves); i++) {
            if (weight > 1.f)  weight = 1.f;
            float signal = (getSignedNoise(nGen, tp) + offset) * pwr;
            pwr *= pwHL;
            result += weight * signal;
            weight *= gain * signal;
            tp *= lacunarity;
      }

      const float rmd = octaves - floorf(octaves);
      if (rmd != 0.f) result += rmd * ((getSignedNoise(nGen, tp) + offset) * pwr);

      return result;

}


/* 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 ridgedMFractal_t::operator() (const Point3 &pt) const
{
      const float pwHL = pow(lacunarity, -H);
      float pwr = pwHL; // starts with i=1 instead of 0
      Point3 tp(pt);

      float signal = offset - fabsf(getSignedNoise(nGen, tp));
      signal *= signal;
      float result = signal;

      for(int i=1; i<(int)octaves; i++ ) {
            tp *= lacunarity;
            float weight = signal * gain;
            if (weight > 1.f) weight = 1.f; else if (weight < 0.f) weight = 0.f;
            signal = offset - fabsf(getSignedNoise(nGen, tp));
            signal *= signal;
            signal *= weight;
            result += signal * pwr;
            pwr *= pwHL;
      }

      return result;

}

//------------------------------------------------------------------------------------


// color cell noise, used by voronoi shader block
Color cellNoiseColor(const Point3 &pt)
{
      const int xi = (int)(floorf(pt.x)), yi = (int)(floorf(pt.y)), zi = (int)(floorf(pt.z));
      const float *cl = HASHPNT(xi, yi, zi);
      return Color(cl[0], cl[1], cl[2]);
}

// turbulence function used by basic blocks
float turbulence(const noiseGenerator_t* ngen, const Point3 &pt, int oct, float size, bool hard)
{
      float amp = 1, sum = 0;
      Point3 tp = size * ngen->offset(pt);      // only blendernoise adds offset
      for (int i=0;i<=oct;i++, amp*=0.5f, tp*=2.f) {
            float val = (*ngen)(tp);
            if (hard) val = fabsf(2.f*val - 1.f);
            sum += amp*val;
      }

      return sum*(float(1 << oct) / float((1 << (oct + 1)) - 1));
}

__END_QDRENDER


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