OpenSimplexNoise.js

// Plain JS version of Josh Forisha's implementation of opensimplex noise
// https://github.com/joshforisha/open-simplex-noise-js
// This version is currently posted here https://gist.github.com/PARC6502/85c99c04c9b3c6ae52c3c27605b4df0a
// Will probably be cleaned up and have its own repo, at some point...

"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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        0,
        0,
        0,
        0,
        0,
        1,
        1,
        0,
        0,
        0,
        1,
        0,
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        0,
        1,
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        0,
        1,
        0,
        1,
        0,
        0,
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        1
      ],
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        1,
        1,
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        4,
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      ]
    ],
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    gradients3D: [
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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;
  })();
})();