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181 lines
6.3 KiB
JavaScript
181 lines
6.3 KiB
JavaScript
// http://mrl.nyu.edu/~perlin/noise/
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var ImprovedNoise = function () {
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var p = [151,160,137,91,90,15,131,13,201,95,96,53,194,233,7,225,140,36,103,30,69,142,8,99,37,240,21,10,
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23,190,6,148,247,120,234,75,0,26,197,62,94,252,219,203,117,35,11,32,57,177,33,88,237,149,56,87,
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174,20,125,136,171,168,68,175,74,165,71,134,139,48,27,166,77,146,158,231,83,111,229,122,60,211,
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133,230,220,105,92,41,55,46,245,40,244,102,143,54,65,25,63,161,1,216,80,73,209,76,132,187,208,
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89,18,169,200,196,135,130,116,188,159,86,164,100,109,198,173,186,3,64,52,217,226,250,124,123,5,
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202,38,147,118,126,255,82,85,212,207,206,59,227,47,16,58,17,182,189,28,42,223,183,170,213,119,
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248,152,2,44,154,163,70,221,153,101,155,167,43,172,9,129,22,39,253,19,98,108,110,79,113,224,232,
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178,185,112,104,218,246,97,228,251,34,242,193,238,210,144,12,191,179,162,241,81,51,145,235,249,
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14,239,107,49,192,214,31,181,199,106,157,184,84,204,176,115,121,50,45,127,4,150,254,138,236,205,
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93,222,114,67,29,24,72,243,141,128,195,78,66,215,61,156,180];
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for ( var i = 0; i < 256 ; i++ ) {
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p[ 256 + i ] = p[ i ];
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}
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function fade( t ) {
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return t * t * t * ( t * ( t * 6 - 15 ) + 10 );
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}
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function lerp( t, a, b ) {
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return a + t * ( b - a );
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}
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function grad( hash, x, y, z ) {
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var h = hash & 15;
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var u = h < 8 ? x : y, v = h < 4 ? y : h == 12 || h == 14 ? x : z;
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return ( ( h & 1 ) == 0 ? u : -u ) + ( ( h & 2 ) == 0 ? v : -v );
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}
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return {
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noise: function ( x, y, z ) {
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var floorX = Math.floor( x ), floorY = Math.floor( y ), floorZ = Math.floor( z );
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var X = floorX & 255, Y = floorY & 255, Z = floorZ & 255;
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x -= floorX;
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y -= floorY;
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z -= floorZ;
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var xMinus1 = x -1, yMinus1 = y - 1, zMinus1 = z - 1;
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var u = fade( x ), v = fade( y ), w = fade( z );
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var A = p[ X ] + Y, AA = p[ A ] + Z, AB = p[ A + 1 ] + Z, B = p[ X + 1 ] + Y, BA = p[ B ] + Z, BB = p[ B + 1 ] + Z;
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return lerp( w, lerp( v, lerp( u, grad( p[ AA ], x, y, z ),
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grad( p[ BA ], xMinus1, y, z ) ),
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lerp( u, grad( p[ AB ], x, yMinus1, z ),
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grad( p[ BB ], xMinus1, yMinus1, z ) ) ),
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lerp( v, lerp( u, grad( p[ AA + 1 ], x, y, zMinus1 ),
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grad( p[ BA + 1 ], xMinus1, y, z - 1 ) ),
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lerp( u, grad( p[ AB + 1 ], x, yMinus1, zMinus1 ),
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grad( p[ BB + 1 ], xMinus1, yMinus1, zMinus1 ) ) ) );
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}
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}
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}
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var currentRandom = Math.random;
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// Pseudo-random generator
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function Marsaglia(i1, i2) {
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// from http://www.math.uni-bielefeld.de/~sillke/ALGORITHMS/random/marsaglia-c
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var z=i1 || 362436069, w= i2 || 521288629;
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var nextInt = function() {
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z=(36969*(z&65535)+(z>>>16)) & 0xFFFFFFFF;
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w=(18000*(w&65535)+(w>>>16)) & 0xFFFFFFFF;
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return (((z&0xFFFF)<<16) | (w&0xFFFF)) & 0xFFFFFFFF;
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};
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this.nextDouble = function() {
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var i = nextInt() / 4294967296;
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return i < 0 ? 1 + i : i;
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};
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this.nextInt = nextInt;
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}
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Marsaglia.createRandomized = function() {
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var now = new Date();
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return new Marsaglia((now / 60000) & 0xFFFFFFFF, now & 0xFFFFFFFF);
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};
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// Noise functions and helpers
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function PerlinNoise(seed) {
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var rnd = seed !== undefined ? new Marsaglia(seed) : Marsaglia.createRandomized();
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var i, j;
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// http://www.noisemachine.com/talk1/17b.html
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// http://mrl.nyu.edu/~perlin/noise/
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// generate permutation
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var p = new Array(512);
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for(i=0;i<256;++i) { p[i] = i; }
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for(i=0;i<256;++i) { var t = p[j = rnd.nextInt() & 0xFF]; p[j] = p[i]; p[i] = t; }
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// copy to avoid taking mod in p[0];
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for(i=0;i<256;++i) { p[i + 256] = p[i]; }
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function grad3d(i,x,y,z) {
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var h = i & 15; // convert into 12 gradient directions
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var u = h<8 ? x : y,
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v = h<4 ? y : h===12||h===14 ? x : z;
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return ((h&1) === 0 ? u : -u) + ((h&2) === 0 ? v : -v);
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}
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function grad2d(i,x,y) {
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var v = (i & 1) === 0 ? x : y;
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return (i&2) === 0 ? -v : v;
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}
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function grad1d(i,x) {
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return (i&1) === 0 ? -x : x;
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}
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function lerp(t,a,b) { return a + t * (b - a); }
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this.noise3d = function(x, y, z) {
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var X = Math.floor(x)&255, Y = Math.floor(y)&255, Z = Math.floor(z)&255;
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x -= Math.floor(x); y -= Math.floor(y); z -= Math.floor(z);
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var fx = (3-2*x)*x*x, fy = (3-2*y)*y*y, fz = (3-2*z)*z*z;
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var p0 = p[X]+Y, p00 = p[p0] + Z, p01 = p[p0 + 1] + Z, p1 = p[X + 1] + Y, p10 = p[p1] + Z, p11 = p[p1 + 1] + Z;
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return lerp(fz,
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lerp(fy, lerp(fx, grad3d(p[p00], x, y, z), grad3d(p[p10], x-1, y, z)),
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lerp(fx, grad3d(p[p01], x, y-1, z), grad3d(p[p11], x-1, y-1,z))),
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lerp(fy, lerp(fx, grad3d(p[p00 + 1], x, y, z-1), grad3d(p[p10 + 1], x-1, y, z-1)),
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lerp(fx, grad3d(p[p01 + 1], x, y-1, z-1), grad3d(p[p11 + 1], x-1, y-1,z-1))));
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};
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this.noise2d = function(x, y) {
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var X = Math.floor(x)&255, Y = Math.floor(y)&255;
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x -= Math.floor(x); y -= Math.floor(y);
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var fx = (3-2*x)*x*x, fy = (3-2*y)*y*y;
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var p0 = p[X]+Y, p1 = p[X + 1] + Y;
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return lerp(fy,
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lerp(fx, grad2d(p[p0], x, y), grad2d(p[p1], x-1, y)),
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lerp(fx, grad2d(p[p0 + 1], x, y-1), grad2d(p[p1 + 1], x-1, y-1)));
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};
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this.noise1d = function(x) {
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var X = Math.floor(x)&255;
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x -= Math.floor(x);
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var fx = (3-2*x)*x*x;
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return lerp(fx, grad1d(p[X], x), grad1d(p[X+1], x-1));
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};
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}
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// these are lifted from Processing.js
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// processing defaults
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var noiseProfile = { generator: undefined, octaves: 4, fallout: 0.5, seed: undefined};
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function noise(x, y, z) {
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if(noiseProfile.generator === undefined) {
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// caching
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noiseProfile.generator = new PerlinNoise(noiseProfile.seed);
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}
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var generator = noiseProfile.generator;
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var effect = 1, k = 1, sum = 0;
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for(var i=0; i<noiseProfile.octaves; ++i) {
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effect *= noiseProfile.fallout;
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switch (arguments.length) {
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case 1:
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sum += effect * (1 + generator.noise1d(k*x))/2; break;
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case 2:
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sum += effect * (1 + generator.noise2d(k*x, k*y))/2; break;
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case 3:
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sum += effect * (1 + generator.noise3d(k*x, k*y, k*z))/2; break;
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}
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k *= 2;
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}
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return sum;
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}; |