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OpenSimplex Noise for openprocessing
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OpenSimplexNoise.js
"use strict";
var OpenSimplexNoise;
(function() {
var constants_1 = {
NORM_2D: 1.0 / 47.0,
NORM_3D: 1.0 / 103.0,
NORM_4D: 1.0 / 30.0,
SQUISH_2D: (Math.sqrt(2 + 1) - 1) / 2,
SQUISH_3D: (Math.sqrt(3 + 1) - 1) / 3,
SQUISH_4D: (Math.sqrt(4 + 1) - 1) / 4,
STRETCH_2D: (1 / Math.sqrt(2 + 1) - 1) / 2,
STRETCH_3D: (1 / Math.sqrt(3 + 1) - 1) / 3,
STRETCH_4D: (1 / Math.sqrt(4 + 1) - 1) / 4,
base2D: [[1, 1, 0, 1, 0, 1, 0, 0, 0], [1, 1, 0, 1, 0, 1, 2, 1, 1]],
base3D: [
[0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1],
[2, 1, 1, 0, 2, 1, 0, 1, 2, 0, 1, 1, 3, 1, 1, 1],
[1, 1, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 2, 1, 0, 1, 2, 0, 1, 1]
],
base4D: [
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],
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]
],
gradients2D: [5, 2, 2, 5, -5, 2, -2, 5, 5, -2, 2, -5, -5, -2, -2, -5],
gradients3D: [
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p2D: [
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p4D: [
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]
};
var Contribution2 = /** @class */ (function() {
function Contribution2(multiplier, xsb, ysb) {
this.dx = -xsb - multiplier * constants_1.SQUISH_2D;
this.dy = -ysb - multiplier * constants_1.SQUISH_2D;
this.xsb = xsb;
this.ysb = ysb;
}
return Contribution2;
})();
var Contribution3 = /** @class */ (function() {
function Contribution3(multiplier, xsb, ysb, zsb) {
this.dx = -xsb - multiplier * constants_1.SQUISH_3D;
this.dy = -ysb - multiplier * constants_1.SQUISH_3D;
this.dz = -zsb - multiplier * constants_1.SQUISH_3D;
this.xsb = xsb;
this.ysb = ysb;
this.zsb = zsb;
}
return Contribution3;
})();
var Contribution4 = /** @class */ (function() {
function Contribution4(multiplier, xsb, ysb, zsb, wsb) {
this.dx = -xsb - multiplier * constants_1.SQUISH_4D;
this.dy = -ysb - multiplier * constants_1.SQUISH_4D;
this.dz = -zsb - multiplier * constants_1.SQUISH_4D;
this.dw = -wsb - multiplier * constants_1.SQUISH_4D;
this.xsb = xsb;
this.ysb = ysb;
this.zsb = zsb;
this.wsb = wsb;
}
return Contribution4;
})();
function shuffleSeed(seed) {
var newSeed = new Uint32Array(1);
newSeed[0] = seed[0] * 1664525 + 1013904223;
return newSeed;
}
OpenSimplexNoise = /** @class */ (function() {
function OpenSimplexNoise(clientSeed) {
this.initialize();
this.perm = new Uint8Array(256);
this.perm2D = new Uint8Array(256);
this.perm3D = new Uint8Array(256);
this.perm4D = new Uint8Array(256);
var source = new Uint8Array(256);
for (var i = 0; i < 256; i++) source[i] = i;
var seed = new Uint32Array(1);
seed[0] = clientSeed;
seed = shuffleSeed(shuffleSeed(shuffleSeed(seed)));
for (var i = 255; i >= 0; i--) {
seed = shuffleSeed(seed);
var r = new Uint32Array(1);
r[0] = (seed[0] + 31) % (i + 1);
if (r[0] < 0) r[0] += i + 1;
this.perm[i] = source[r[0]];
this.perm2D[i] = this.perm[i] & 0x0e;
this.perm3D[i] = (this.perm[i] % 24) * 3;
this.perm4D[i] = this.perm[i] & 0xfc;
source[r[0]] = source[i];
}
}
OpenSimplexNoise.prototype.array2D = function(width, height) {
var output = new Array(width);
for (var x = 0; x < width; x++) {
output[x] = new Array(height);
for (var y = 0; y < height; y++) {
output[x][y] = this.noise2D(x, y);
}
}
return output;
};
OpenSimplexNoise.prototype.array3D = function(width, height, depth) {
var output = new Array(width);
for (var x = 0; x < width; x++) {
output[x] = new Array(height);
for (var y = 0; y < height; y++) {
output[x][y] = new Array(depth);
for (var z = 0; z < depth; z++) {
output[x][y][z] = this.noise3D(x, y, z);
}
}
}
return output;
};
OpenSimplexNoise.prototype.array4D = function(
width,
height,
depth,
wLength
) {
var output = new Array(width);
for (var x = 0; x < width; x++) {
output[x] = new Array(height);
for (var y = 0; y < height; y++) {
output[x][y] = new Array(depth);
for (var z = 0; z < depth; z++) {
output[x][y][z] = new Array(wLength);
for (var w = 0; w < wLength; w++) {
output[x][y][z][w] = this.noise4D(x, y, z, w);
}
}
}
}
return output;
};
OpenSimplexNoise.prototype.noise2D = function(x, y) {
var stretchOffset = (x + y) * constants_1.STRETCH_2D;
var xs = x + stretchOffset;
var ys = y + stretchOffset;
var xsb = Math.floor(xs);
var ysb = Math.floor(ys);
var squishOffset = (xsb + ysb) * constants_1.SQUISH_2D;
var dx0 = x - (xsb + squishOffset);
var dy0 = y - (ysb + squishOffset);
var xins = xs - xsb;
var yins = ys - ysb;
var inSum = xins + yins;
var hash =
(xins - yins + 1) |
(inSum << 1) |
((inSum + yins) << 2) |
((inSum + xins) << 4);
var value = 0;
for (var c = this.lookup2D[hash]; c !== undefined; c = c.next) {
var dx = dx0 + c.dx;
var dy = dy0 + c.dy;
var attn = 2 - dx * dx - dy * dy;
if (attn > 0) {
var px = xsb + c.xsb;
var py = ysb + c.ysb;
var indexPartA = this.perm[px & 0xff];
var index = this.perm2D[(indexPartA + py) & 0xff];
var valuePart =
constants_1.gradients2D[index] * dx +
constants_1.gradients2D[index + 1] * dy;
value += attn * attn * attn * attn * valuePart;
}
}
return value * constants_1.NORM_2D;
};
OpenSimplexNoise.prototype.noise3D = function(x, y, z) {
var stretchOffset = (x + y + z) * constants_1.STRETCH_3D;
var xs = x + stretchOffset;
var ys = y + stretchOffset;
var zs = z + stretchOffset;
var xsb = Math.floor(xs);
var ysb = Math.floor(ys);
var zsb = Math.floor(zs);
var squishOffset = (xsb + ysb + zsb) * constants_1.SQUISH_3D;
var dx0 = x - (xsb + squishOffset);
var dy0 = y - (ysb + squishOffset);
var dz0 = z - (zsb + squishOffset);
var xins = xs - xsb;
var yins = ys - ysb;
var zins = zs - zsb;
var inSum = xins + yins + zins;
var hash =
(yins - zins + 1) |
((xins - yins + 1) << 1) |
((xins - zins + 1) << 2) |
(inSum << 3) |
((inSum + zins) << 5) |
((inSum + yins) << 7) |
((inSum + xins) << 9);
var value = 0;
for (var c = this.lookup3D[hash]; c !== undefined; c = c.next) {
var dx = dx0 + c.dx;
var dy = dy0 + c.dy;
var dz = dz0 + c.dz;
var attn = 2 - dx * dx - dy * dy - dz * dz;
if (attn > 0) {
var px = xsb + c.xsb;
var py = ysb + c.ysb;
var pz = zsb + c.zsb;
var indexPartA = this.perm[px & 0xff];
var indexPartB = this.perm[(indexPartA + py) & 0xff];
var index = this.perm3D[(indexPartB + pz) & 0xff];
var valuePart =
constants_1.gradients3D[index] * dx +
constants_1.gradients3D[index + 1] * dy +
constants_1.gradients3D[index + 2] * dz;
value += attn * attn * attn * attn * valuePart;
}
}
return value * constants_1.NORM_3D;
};
OpenSimplexNoise.prototype.noise4D = function(x, y, z, w) {
var stretchOffset = (x + y + z + w) * constants_1.STRETCH_4D;
var xs = x + stretchOffset;
var ys = y + stretchOffset;
var zs = z + stretchOffset;
var ws = w + stretchOffset;
var xsb = Math.floor(xs);
var ysb = Math.floor(ys);
var zsb = Math.floor(zs);
var wsb = Math.floor(ws);
var squishOffset = (xsb + ysb + zsb + wsb) * constants_1.SQUISH_4D;
var dx0 = x - (xsb + squishOffset);
var dy0 = y - (ysb + squishOffset);
var dz0 = z - (zsb + squishOffset);
var dw0 = w - (wsb + squishOffset);
var xins = xs - xsb;
var yins = ys - ysb;
var zins = zs - zsb;
var wins = ws - wsb;
var inSum = xins + yins + zins + wins;
var hash =
(zins - wins + 1) |
((yins - zins + 1) << 1) |
((yins - wins + 1) << 2) |
((xins - yins + 1) << 3) |
((xins - zins + 1) << 4) |
((xins - wins + 1) << 5) |
(inSum << 6) |
((inSum + wins) << 8) |
((inSum + zins) << 11) |
((inSum + yins) << 14) |
((inSum + xins) << 17);
var value = 0;
for (var c = this.lookup4D[hash]; c !== undefined; c = c.next) {
var dx = dx0 + c.dx;
var dy = dy0 + c.dy;
var dz = dz0 + c.dz;
var dw = dw0 + c.dw;
var attn = 2 - dx * dx - dy * dy - dz * dz - dw * dw;
if (attn > 0) {
var px = xsb + c.xsb;
var py = ysb + c.ysb;
var pz = zsb + c.zsb;
var pw = wsb + c.wsb;
var indexPartA = this.perm[px & 0xff];
var indexPartB = this.perm[(indexPartA + py) & 0xff];
var indexPartC = this.perm[(indexPartB + pz) & 0xff];
var index = this.perm4D[(indexPartC + pw) & 0xff];
var valuePart =
constants_1.gradients4D[index] * dx +
constants_1.gradients4D[index + 1] * dy +
constants_1.gradients4D[index + 2] * dz +
constants_1.gradients4D[index + 3] * dw;
value += attn * attn * attn * attn * valuePart;
}
}
return value * constants_1.NORM_4D;
};
OpenSimplexNoise.prototype.initialize = function() {
var contributions2D = [];
for (var i = 0; i < constants_1.p2D.length; i += 4) {
var baseSet = constants_1.base2D[constants_1.p2D[i]];
var previous = null;
var current = null;
for (var k = 0; k < baseSet.length; k += 3) {
current = new Contribution2(
baseSet[k],
baseSet[k + 1],
baseSet[k + 2]
);
if (previous === null) contributions2D[i / 4] = current;
else previous.next = current;
previous = current;
}
current.next = new Contribution2(
constants_1.p2D[i + 1],
constants_1.p2D[i + 2],
constants_1.p2D[i + 3]
);
}
this.lookup2D = [];
for (var i = 0; i < constants_1.lookupPairs2D.length; i += 2) {
this.lookup2D[constants_1.lookupPairs2D[i]] =
contributions2D[constants_1.lookupPairs2D[i + 1]];
}
var contributions3D = [];
for (var i = 0; i < constants_1.p3D.length; i += 9) {
var baseSet = constants_1.base3D[constants_1.p3D[i]];
var previous = null;
var current = null;
for (var k = 0; k < baseSet.length; k += 4) {
current = new Contribution3(
baseSet[k],
baseSet[k + 1],
baseSet[k + 2],
baseSet[k + 3]
);
if (previous === null) contributions3D[i / 9] = current;
else previous.next = current;
previous = current;
}
current.next = new Contribution3(
constants_1.p3D[i + 1],
constants_1.p3D[i + 2],
constants_1.p3D[i + 3],
constants_1.p3D[i + 4]
);
current.next.next = new Contribution3(
constants_1.p3D[i + 5],
constants_1.p3D[i + 6],
constants_1.p3D[i + 7],
constants_1.p3D[i + 8]
);
}
this.lookup3D = [];
for (var i = 0; i < constants_1.lookupPairs3D.length; i += 2) {
this.lookup3D[constants_1.lookupPairs3D[i]] =
contributions3D[constants_1.lookupPairs3D[i + 1]];
}
var contributions4D = [];
for (var i = 0; i < constants_1.p4D.length; i += 16) {
var baseSet = constants_1.base4D[constants_1.p4D[i]];
var previous = null;
var current = null;
for (var k = 0; k < baseSet.length; k += 5) {
current = new Contribution4(
baseSet[k],
baseSet[k + 1],
baseSet[k + 2],
baseSet[k + 3],
baseSet[k + 4]
);
if (previous === null) contributions4D[i / 16] = current;
else previous.next = current;
previous = current;
}
current.next = new Contribution4(
constants_1.p4D[i + 1],
constants_1.p4D[i + 2],
constants_1.p4D[i + 3],
constants_1.p4D[i + 4],
constants_1.p4D[i + 5]
);
current.next.next = new Contribution4(
constants_1.p4D[i + 6],
constants_1.p4D[i + 7],
constants_1.p4D[i + 8],
constants_1.p4D[i + 9],
constants_1.p4D[i + 10]
);
current.next.next.next = new Contribution4(
constants_1.p4D[i + 11],
constants_1.p4D[i + 12],
constants_1.p4D[i + 13],
constants_1.p4D[i + 14],
constants_1.p4D[i + 15]
);
}
this.lookup4D = [];
for (var i = 0; i < constants_1.lookupPairs4D.length; i += 2) {
this.lookup4D[constants_1.lookupPairs4D[i]] =
contributions4D[constants_1.lookupPairs4D[i + 1]];
}
};
return OpenSimplexNoise;
})();
})();
Raw
OpenSimplexNoise2D.js
"use strict";
var OpenSimplexNoise2D;
(function() {
var constants_1 = {
NORM_2D: 1.0 / 47.0,
SQUISH_2D: (Math.sqrt(2 + 1) - 1) / 2,
STRETCH_2D: (1 / Math.sqrt(2 + 1) - 1) / 2,
base2D: [[1, 1, 0, 1, 0, 1, 0, 0, 0], [1, 1, 0, 1, 0, 1, 2, 1, 1]],
gradients2D: [5, 2, 2, 5, -5, 2, -2, 5, 5, -2, 2, -5, -5, -2, -2, -5],
lookupPairs2D: [
0,
1,
1,
0,
4,
1,
17,
0,
20,
2,
21,
2,
22,
5,
23,
5,
26,
4,
39,
3,
42,
4,
43,
3
],
p2D: [
0,
0,
1,
-1,
0,
0,
-1,
1,
0,
2,
1,
1,
1,
2,
2,
0,
1,
2,
0,
2,
1,
0,
0,
0
],
};
var Contribution2 = /** @class */ (function() {
function Contribution2(multiplier, xsb, ysb) {
this.dx = -xsb - multiplier * constants_1.SQUISH_2D;
this.dy = -ysb - multiplier * constants_1.SQUISH_2D;
this.xsb = xsb;
this.ysb = ysb;
}
return Contribution2;
})();
function shuffleSeed(seed) {
var newSeed = new Uint32Array(1);
newSeed[0] = seed[0] * 1664525 + 1013904223;
return newSeed;
}
OpenSimplexNoise2D = /** @class */ (function() {
function OpenSimplexNoise(clientSeed) {
this.initialize();
this.perm = new Uint8Array(256);
this.perm2D = new Uint8Array(256);
var source = new Uint8Array(256);
for (var i = 0; i < 256; i++) source[i] = i;
var seed = new Uint32Array(1);
seed[0] = clientSeed;
seed = shuffleSeed(shuffleSeed(shuffleSeed(seed)));
for (var i = 255; i >= 0; i--) {
seed = shuffleSeed(seed);
var r = new Uint32Array(1);
r[0] = (seed[0] + 31) % (i + 1);
if (r[0] < 0) r[0] += i + 1;
this.perm[i] = source[r[0]];
this.perm2D[i] = this.perm[i] & 0x0e;
source[r[0]] = source[i];
}
}
OpenSimplexNoise.prototype.array2D = function(width, height) {
var output = new Array(width);
for (var x = 0; x < width; x++) {
output[x] = new Array(height);
for (var y = 0; y < height; y++) {
output[x][y] = this.noise2D(x, y);
}
}
return output;
};
OpenSimplexNoise.prototype.noise = function(x, y) {
var stretchOffset = (x + y) * constants_1.STRETCH_2D;
var xs = x + stretchOffset;
var ys = y + stretchOffset;
var xsb = Math.floor(xs);
var ysb = Math.floor(ys);
var squishOffset = (xsb + ysb) * constants_1.SQUISH_2D;
var dx0 = x - (xsb + squishOffset);
var dy0 = y - (ysb + squishOffset);
var xins = xs - xsb;
var yins = ys - ysb;
var inSum = xins + yins;
var hash =
(xins - yins + 1) |
(inSum << 1) |
((inSum + yins) << 2) |
((inSum + xins) << 4);
var value = 0;
for (var c = this.lookup2D[hash]; c !== undefined; c = c.next) {
var dx = dx0 + c.dx;
var dy = dy0 + c.dy;
var attn = 2 - dx * dx - dy * dy;
if (attn > 0) {
var px = xsb + c.xsb;
var py = ysb + c.ysb;
var indexPartA = this.perm[px & 0xff];
var index = this.perm2D[(indexPartA + py) & 0xff];
var valuePart =
constants_1.gradients2D[index] * dx +
constants_1.gradients2D[index + 1] * dy;
value += attn * attn * attn * attn * valuePart;
}
}
return value * constants_1.NORM_2D;
};
OpenSimplexNoise.prototype.initialize = function() {
var contributions2D = [];
for (var i = 0; i < constants_1.p2D.length; i += 4) {
var baseSet = constants_1.base2D[constants_1.p2D[i]];
var previous = null;
var current = null;
for (var k = 0; k < baseSet.length; k += 3) {
current = new Contribution2(
baseSet[k],
baseSet[k + 1],
baseSet[k + 2]
);
if (previous === null) contributions2D[i / 4] = current;
else previous.next = current;
previous = current;
}
current.next = new Contribution2(
constants_1.p2D[i + 1],
constants_1.p2D[i + 2],
constants_1.p2D[i + 3]
);
}
this.lookup2D = [];
for (var i = 0; i < constants_1.lookupPairs2D.length; i += 2) {
this.lookup2D[constants_1.lookupPairs2D[i]] =
contributions2D[constants_1.lookupPairs2D[i + 1]];
}
};
return OpenSimplexNoise;
})();
})();
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