mirror of
https://github.com/Azgaar/Fantasy-Map-Generator.git
synced 2025-12-17 09:41:24 +01:00
v. 0.55b
This commit is contained in:
parent
13531112d3
commit
0e1dd80812
19 changed files with 810 additions and 119 deletions
2
libs/d3-hexbin.v0.2.min.js
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libs/d3-hexbin.v0.2.min.js
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// https://github.com/d3/d3-hexbin Version 0.2.2. Copyright 2017 Mike Bostock.
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!function(n,t){"object"==typeof exports&&"undefined"!=typeof module?t(exports):"function"==typeof define&&define.amd?define(["exports"],t):t(n.d3=n.d3||{})}(this,function(n){"use strict";function t(n){return n[0]}function r(n){return n[1]}var e=Math.PI/3,u=[0,e,2*e,3*e,4*e,5*e],o=function(){function n(n){var t,r={},e=[],u=n.length;for(t=0;t<u;++t)if(!isNaN(i=+d.call(null,o=n[t],t,n))&&!isNaN(c=+p.call(null,o,t,n))){var o,i,c,s=Math.round(c/=f),h=Math.round(i=i/a-(1&s)/2),l=c-s;if(3*Math.abs(l)>1){var v=i-h,M=h+(i<h?-1:1)/2,x=s+(c<s?-1:1),g=i-M,m=c-x;v*v+l*l>g*g+m*m&&(h=M+(1&s?1:-1)/2,s=x)}var y=h+"-"+s,j=r[y];j?j.push(o):(e.push(j=r[y]=[o]),j.x=(h+(1&s)/2)*a,j.y=s*f)}return e}function o(n){var t=0,r=0;return u.map(function(e){var u=Math.sin(e)*n,o=-Math.cos(e)*n,i=u-t,a=o-r;return t=u,r=o,[i,a]})}var i,a,f,c=0,s=0,h=1,l=1,d=t,p=r;return n.hexagon=function(n){return"m"+o(null==n?i:+n).join("l")+"z"},n.centers=function(){for(var n=[],t=Math.round(s/f),r=Math.round(c/a),e=t*f;e<l+i;e+=f,++t)for(var u=r*a+(1&t)*a/2;u<h+a/2;u+=a)n.push([u,e]);return n},n.mesh=function(){var t=o(i).slice(0,4).join("l");return n.centers().map(function(n){return"M"+n+"m"+t}).join("")},n.x=function(t){return arguments.length?(d=t,n):d},n.y=function(t){return arguments.length?(p=t,n):p},n.radius=function(t){return arguments.length?(i=+t,a=2*i*Math.sin(e),f=1.5*i,n):i},n.size=function(t){return arguments.length?(c=s=0,h=+t[0],l=+t[1],n):[h-c,l-s]},n.extent=function(t){return arguments.length?(c=+t[0][0],s=+t[0][1],h=+t[1][0],l=+t[1][1],n):[[c,s],[h,l]]},n.radius(1)};n.hexbin=o,Object.defineProperty(n,"__esModule",{value:!0})});
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libs/d3-scale-chromatic.v1.min.js
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libs/d3-scale-chromatic.v1.min.js
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libs/d3.v4.min.js
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libs/d3.v4.min.js
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libs/jquery-3.1.1.min.js
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libs/jquery-3.1.1.min.js
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libs/jquery-ui.min.js
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libs/jquery-ui.min.js
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libs/polylabel.js
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libs/polylabel.js
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(function(f){if(typeof exports==="object"&&typeof module!=="undefined"){module.exports=f()}else if(typeof define==="function"&&define.amd){define([],f)}else{var g;if(typeof window!=="undefined"){g=window}else if(typeof global!=="undefined"){g=global}else if(typeof self!=="undefined"){g=self}else{g=this}g.polylabel = f()}})(function(){var define,module,exports;return (function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require=="function"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error("Cannot find module '"+o+"'");throw f.code="MODULE_NOT_FOUND",f}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require=="function"&&require;for(var o=0;o<r.length;o++)s(r[o]);return s})({1:[function(require,module,exports){
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'use strict';
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var Queue = require('tinyqueue');
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module.exports = polylabel;
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function polylabel(polygon, precision, debug) {
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precision = precision || 1.0;
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// find the bounding box of the outer ring
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var minX, minY, maxX, maxY;
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for (var i = 0; i < polygon[0].length; i++) {
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var p = polygon[0][i];
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if (!i || p[0] < minX) minX = p[0];
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if (!i || p[1] < minY) minY = p[1];
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if (!i || p[0] > maxX) maxX = p[0];
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if (!i || p[1] > maxY) maxY = p[1];
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}
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var width = maxX - minX;
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var height = maxY - minY;
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var cellSize = Math.min(width, height);
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var h = cellSize / 2;
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// a priority queue of cells in order of their "potential" (max distance to polygon)
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var cellQueue = new Queue(null, compareMax);
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// cover polygon with initial cells
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for (var x = minX; x < maxX; x += cellSize) {
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for (var y = minY; y < maxY; y += cellSize) {
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cellQueue.push(new Cell(x + h, y + h, h, polygon));
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}
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}
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// take centroid as the first best guess
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var bestCell = getCentroidCell(polygon);
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var numProbes = cellQueue.length;
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while (cellQueue.length) {
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// pick the most promising cell from the queue
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var cell = cellQueue.pop();
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// update the best cell if we found a better one
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if (cell.d > bestCell.d) {
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bestCell = cell;
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if (debug) console.log('found best %d after %d probes', Math.round(1e4 * cell.d) / 1e4, numProbes);
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}
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// do not drill down further if there's no chance of a better solution
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if (cell.max - bestCell.d <= precision) continue;
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// split the cell into four cells
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h = cell.h / 2;
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cellQueue.push(new Cell(cell.x - h, cell.y - h, h, polygon));
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cellQueue.push(new Cell(cell.x + h, cell.y - h, h, polygon));
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cellQueue.push(new Cell(cell.x - h, cell.y + h, h, polygon));
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cellQueue.push(new Cell(cell.x + h, cell.y + h, h, polygon));
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numProbes += 4;
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}
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if (debug) {
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console.log('num probes: ' + numProbes);
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console.log('best distance: ' + bestCell.d);
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}
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return [bestCell.x, bestCell.y];
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}
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function compareMax(a, b) {
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return b.max - a.max;
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}
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function Cell(x, y, h, polygon) {
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this.x = x; // cell center x
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this.y = y; // cell center y
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this.h = h; // half the cell size
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this.d = pointToPolygonDist(x, y, polygon); // distance from cell center to polygon
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this.max = this.d + this.h * Math.SQRT2; // max distance to polygon within a cell
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}
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// signed distance from point to polygon outline (negative if point is outside)
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function pointToPolygonDist(x, y, polygon) {
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var inside = false;
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var minDistSq = Infinity;
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for (var k = 0; k < polygon.length; k++) {
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var ring = polygon[k];
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for (var i = 0, len = ring.length, j = len - 1; i < len; j = i++) {
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var a = ring[i];
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var b = ring[j];
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if ((a[1] > y !== b[1] > y) &&
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(x < (b[0] - a[0]) * (y - a[1]) / (b[1] - a[1]) + a[0])) inside = !inside;
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minDistSq = Math.min(minDistSq, getSegDistSq(x, y, a, b));
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}
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}
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return (inside ? 1 : -1) * Math.sqrt(minDistSq);
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}
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// get polygon centroid
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function getCentroidCell(polygon) {
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var area = 0;
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var x = 0;
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var y = 0;
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var points = polygon[0];
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for (var i = 0, len = points.length, j = len - 1; i < len; j = i++) {
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var a = points[i];
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var b = points[j];
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var f = a[0] * b[1] - b[0] * a[1];
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x += (a[0] + b[0]) * f;
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y += (a[1] + b[1]) * f;
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area += f * 3;
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}
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return new Cell(x / area, y / area, 0, polygon);
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}
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// get squared distance from a point to a segment
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function getSegDistSq(px, py, a, b) {
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var x = a[0];
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var y = a[1];
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var dx = b[0] - x;
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var dy = b[1] - y;
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if (dx !== 0 || dy !== 0) {
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var t = ((px - x) * dx + (py - y) * dy) / (dx * dx + dy * dy);
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if (t > 1) {
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x = b[0];
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y = b[1];
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} else if (t > 0) {
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x += dx * t;
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y += dy * t;
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}
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}
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dx = px - x;
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dy = py - y;
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return dx * dx + dy * dy;
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}
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},{"tinyqueue":2}],2:[function(require,module,exports){
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'use strict';
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module.exports = TinyQueue;
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function TinyQueue(data, compare) {
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if (!(this instanceof TinyQueue)) return new TinyQueue(data, compare);
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this.data = data || [];
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this.length = this.data.length;
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this.compare = compare || defaultCompare;
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if (data) for (var i = Math.floor(this.length / 2); i >= 0; i--) this._down(i);
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}
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function defaultCompare(a, b) {
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return a < b ? -1 : a > b ? 1 : 0;
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}
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TinyQueue.prototype = {
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push: function (item) {
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this.data.push(item);
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this.length++;
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this._up(this.length - 1);
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},
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pop: function () {
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var top = this.data[0];
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this.data[0] = this.data[this.length - 1];
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this.length--;
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this.data.pop();
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this._down(0);
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return top;
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},
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peek: function () {
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return this.data[0];
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},
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_up: function (pos) {
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var data = this.data,
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compare = this.compare;
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while (pos > 0) {
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var parent = Math.floor((pos - 1) / 2);
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if (compare(data[pos], data[parent]) < 0) {
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swap(data, parent, pos);
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pos = parent;
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} else break;
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}
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},
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_down: function (pos) {
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var data = this.data,
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compare = this.compare,
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len = this.length;
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while (true) {
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var left = 2 * pos + 1,
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right = left + 1,
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min = pos;
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if (left < len && compare(data[left], data[min]) < 0) min = left;
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if (right < len && compare(data[right], data[min]) < 0) min = right;
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if (min === pos) return;
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swap(data, min, pos);
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pos = min;
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}
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}
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};
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function swap(data, i, j) {
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var tmp = data[i];
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data[i] = data[j];
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data[j] = tmp;
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}
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},{}]},{},[1])(1)
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});
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387
libs/priority-queue.js
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libs/priority-queue.js
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(function(f){if(typeof exports==="object"&&typeof module!=="undefined"){module.exports=f()}else if(typeof define==="function"&&define.amd){define([],f)}else{var g;if(typeof window!=="undefined"){g=window}else if(typeof global!=="undefined"){g=global}else if(typeof self!=="undefined"){g=self}else{g=this}g.PriorityQueue = f()}})(function(){var define,module,exports;return (function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require=="function"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error("Cannot find module '"+o+"'");throw f.code="MODULE_NOT_FOUND",f}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require=="function"&&require;for(var o=0;o<r.length;o++)s(r[o]);return s})({1:[function(_dereq_,module,exports){
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var AbstractPriorityQueue, ArrayStrategy, BHeapStrategy, BinaryHeapStrategy, PriorityQueue,
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extend = function(child, parent) { for (var key in parent) { if (hasProp.call(parent, key)) child[key] = parent[key]; } function ctor() { this.constructor = child; } ctor.prototype = parent.prototype; child.prototype = new ctor(); child.__super__ = parent.prototype; return child; },
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hasProp = {}.hasOwnProperty;
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AbstractPriorityQueue = _dereq_('./PriorityQueue/AbstractPriorityQueue');
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ArrayStrategy = _dereq_('./PriorityQueue/ArrayStrategy');
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BinaryHeapStrategy = _dereq_('./PriorityQueue/BinaryHeapStrategy');
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BHeapStrategy = _dereq_('./PriorityQueue/BHeapStrategy');
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PriorityQueue = (function(superClass) {
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extend(PriorityQueue, superClass);
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function PriorityQueue(options) {
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options || (options = {});
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options.strategy || (options.strategy = BinaryHeapStrategy);
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options.comparator || (options.comparator = function(a, b) {
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return (a || 0) - (b || 0);
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});
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PriorityQueue.__super__.constructor.call(this, options);
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}
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return PriorityQueue;
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})(AbstractPriorityQueue);
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PriorityQueue.ArrayStrategy = ArrayStrategy;
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PriorityQueue.BinaryHeapStrategy = BinaryHeapStrategy;
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PriorityQueue.BHeapStrategy = BHeapStrategy;
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module.exports = PriorityQueue;
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},{"./PriorityQueue/AbstractPriorityQueue":2,"./PriorityQueue/ArrayStrategy":3,"./PriorityQueue/BHeapStrategy":4,"./PriorityQueue/BinaryHeapStrategy":5}],2:[function(_dereq_,module,exports){
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var AbstractPriorityQueue;
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module.exports = AbstractPriorityQueue = (function() {
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function AbstractPriorityQueue(options) {
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var ref;
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if ((options != null ? options.strategy : void 0) == null) {
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throw 'Must pass options.strategy, a strategy';
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}
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if ((options != null ? options.comparator : void 0) == null) {
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throw 'Must pass options.comparator, a comparator';
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}
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this.priv = new options.strategy(options);
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this.length = (options != null ? (ref = options.initialValues) != null ? ref.length : void 0 : void 0) || 0;
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}
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AbstractPriorityQueue.prototype.queue = function(value) {
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this.length++;
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this.priv.queue(value);
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return void 0;
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};
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AbstractPriorityQueue.prototype.dequeue = function(value) {
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if (!this.length) {
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throw 'Empty queue';
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}
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this.length--;
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return this.priv.dequeue();
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};
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AbstractPriorityQueue.prototype.peek = function(value) {
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if (!this.length) {
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throw 'Empty queue';
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}
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return this.priv.peek();
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};
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AbstractPriorityQueue.prototype.clear = function() {
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this.length = 0;
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return this.priv.clear();
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};
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return AbstractPriorityQueue;
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||||
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})();
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||||
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},{}],3:[function(_dereq_,module,exports){
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var ArrayStrategy, binarySearchForIndexReversed;
|
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|
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binarySearchForIndexReversed = function(array, value, comparator) {
|
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var high, low, mid;
|
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low = 0;
|
||||
high = array.length;
|
||||
while (low < high) {
|
||||
mid = (low + high) >>> 1;
|
||||
if (comparator(array[mid], value) >= 0) {
|
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low = mid + 1;
|
||||
} else {
|
||||
high = mid;
|
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}
|
||||
}
|
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return low;
|
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};
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||||
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||||
module.exports = ArrayStrategy = (function() {
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function ArrayStrategy(options) {
|
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var ref;
|
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this.options = options;
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this.comparator = this.options.comparator;
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this.data = ((ref = this.options.initialValues) != null ? ref.slice(0) : void 0) || [];
|
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this.data.sort(this.comparator).reverse();
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}
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||||
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ArrayStrategy.prototype.queue = function(value) {
|
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var pos;
|
||||
pos = binarySearchForIndexReversed(this.data, value, this.comparator);
|
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this.data.splice(pos, 0, value);
|
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return void 0;
|
||||
};
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||||
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||||
ArrayStrategy.prototype.dequeue = function() {
|
||||
return this.data.pop();
|
||||
};
|
||||
|
||||
ArrayStrategy.prototype.peek = function() {
|
||||
return this.data[this.data.length - 1];
|
||||
};
|
||||
|
||||
ArrayStrategy.prototype.clear = function() {
|
||||
this.data.length = 0;
|
||||
return void 0;
|
||||
};
|
||||
|
||||
return ArrayStrategy;
|
||||
|
||||
})();
|
||||
|
||||
|
||||
},{}],4:[function(_dereq_,module,exports){
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var BHeapStrategy;
|
||||
|
||||
module.exports = BHeapStrategy = (function() {
|
||||
function BHeapStrategy(options) {
|
||||
var arr, i, j, k, len, ref, ref1, shift, value;
|
||||
this.comparator = (options != null ? options.comparator : void 0) || function(a, b) {
|
||||
return a - b;
|
||||
};
|
||||
this.pageSize = (options != null ? options.pageSize : void 0) || 512;
|
||||
this.length = 0;
|
||||
shift = 0;
|
||||
while ((1 << shift) < this.pageSize) {
|
||||
shift += 1;
|
||||
}
|
||||
if (1 << shift !== this.pageSize) {
|
||||
throw 'pageSize must be a power of two';
|
||||
}
|
||||
this._shift = shift;
|
||||
this._emptyMemoryPageTemplate = arr = [];
|
||||
for (i = j = 0, ref = this.pageSize; 0 <= ref ? j < ref : j > ref; i = 0 <= ref ? ++j : --j) {
|
||||
arr.push(null);
|
||||
}
|
||||
this._memory = [];
|
||||
this._mask = this.pageSize - 1;
|
||||
if (options.initialValues) {
|
||||
ref1 = options.initialValues;
|
||||
for (k = 0, len = ref1.length; k < len; k++) {
|
||||
value = ref1[k];
|
||||
this.queue(value);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
BHeapStrategy.prototype.queue = function(value) {
|
||||
this.length += 1;
|
||||
this._write(this.length, value);
|
||||
this._bubbleUp(this.length, value);
|
||||
return void 0;
|
||||
};
|
||||
|
||||
BHeapStrategy.prototype.dequeue = function() {
|
||||
var ret, val;
|
||||
ret = this._read(1);
|
||||
val = this._read(this.length);
|
||||
this.length -= 1;
|
||||
if (this.length > 0) {
|
||||
this._write(1, val);
|
||||
this._bubbleDown(1, val);
|
||||
}
|
||||
return ret;
|
||||
};
|
||||
|
||||
BHeapStrategy.prototype.peek = function() {
|
||||
return this._read(1);
|
||||
};
|
||||
|
||||
BHeapStrategy.prototype.clear = function() {
|
||||
this.length = 0;
|
||||
this._memory.length = 0;
|
||||
return void 0;
|
||||
};
|
||||
|
||||
BHeapStrategy.prototype._write = function(index, value) {
|
||||
var page;
|
||||
page = index >> this._shift;
|
||||
while (page >= this._memory.length) {
|
||||
this._memory.push(this._emptyMemoryPageTemplate.slice(0));
|
||||
}
|
||||
return this._memory[page][index & this._mask] = value;
|
||||
};
|
||||
|
||||
BHeapStrategy.prototype._read = function(index) {
|
||||
return this._memory[index >> this._shift][index & this._mask];
|
||||
};
|
||||
|
||||
BHeapStrategy.prototype._bubbleUp = function(index, value) {
|
||||
var compare, indexInPage, parentIndex, parentValue;
|
||||
compare = this.comparator;
|
||||
while (index > 1) {
|
||||
indexInPage = index & this._mask;
|
||||
if (index < this.pageSize || indexInPage > 3) {
|
||||
parentIndex = (index & ~this._mask) | (indexInPage >> 1);
|
||||
} else if (indexInPage < 2) {
|
||||
parentIndex = (index - this.pageSize) >> this._shift;
|
||||
parentIndex += parentIndex & ~(this._mask >> 1);
|
||||
parentIndex |= this.pageSize >> 1;
|
||||
} else {
|
||||
parentIndex = index - 2;
|
||||
}
|
||||
parentValue = this._read(parentIndex);
|
||||
if (compare(parentValue, value) < 0) {
|
||||
break;
|
||||
}
|
||||
this._write(parentIndex, value);
|
||||
this._write(index, parentValue);
|
||||
index = parentIndex;
|
||||
}
|
||||
return void 0;
|
||||
};
|
||||
|
||||
BHeapStrategy.prototype._bubbleDown = function(index, value) {
|
||||
var childIndex1, childIndex2, childValue1, childValue2, compare;
|
||||
compare = this.comparator;
|
||||
while (index < this.length) {
|
||||
if (index > this._mask && !(index & (this._mask - 1))) {
|
||||
childIndex1 = childIndex2 = index + 2;
|
||||
} else if (index & (this.pageSize >> 1)) {
|
||||
childIndex1 = (index & ~this._mask) >> 1;
|
||||
childIndex1 |= index & (this._mask >> 1);
|
||||
childIndex1 = (childIndex1 + 1) << this._shift;
|
||||
childIndex2 = childIndex1 + 1;
|
||||
} else {
|
||||
childIndex1 = index + (index & this._mask);
|
||||
childIndex2 = childIndex1 + 1;
|
||||
}
|
||||
if (childIndex1 !== childIndex2 && childIndex2 <= this.length) {
|
||||
childValue1 = this._read(childIndex1);
|
||||
childValue2 = this._read(childIndex2);
|
||||
if (compare(childValue1, value) < 0 && compare(childValue1, childValue2) <= 0) {
|
||||
this._write(childIndex1, value);
|
||||
this._write(index, childValue1);
|
||||
index = childIndex1;
|
||||
} else if (compare(childValue2, value) < 0) {
|
||||
this._write(childIndex2, value);
|
||||
this._write(index, childValue2);
|
||||
index = childIndex2;
|
||||
} else {
|
||||
break;
|
||||
}
|
||||
} else if (childIndex1 <= this.length) {
|
||||
childValue1 = this._read(childIndex1);
|
||||
if (compare(childValue1, value) < 0) {
|
||||
this._write(childIndex1, value);
|
||||
this._write(index, childValue1);
|
||||
index = childIndex1;
|
||||
} else {
|
||||
break;
|
||||
}
|
||||
} else {
|
||||
break;
|
||||
}
|
||||
}
|
||||
return void 0;
|
||||
};
|
||||
|
||||
return BHeapStrategy;
|
||||
|
||||
})();
|
||||
|
||||
|
||||
},{}],5:[function(_dereq_,module,exports){
|
||||
var BinaryHeapStrategy;
|
||||
|
||||
module.exports = BinaryHeapStrategy = (function() {
|
||||
function BinaryHeapStrategy(options) {
|
||||
var ref;
|
||||
this.comparator = (options != null ? options.comparator : void 0) || function(a, b) {
|
||||
return a - b;
|
||||
};
|
||||
this.length = 0;
|
||||
this.data = ((ref = options.initialValues) != null ? ref.slice(0) : void 0) || [];
|
||||
this._heapify();
|
||||
}
|
||||
|
||||
BinaryHeapStrategy.prototype._heapify = function() {
|
||||
var i, j, ref;
|
||||
if (this.data.length > 0) {
|
||||
for (i = j = 1, ref = this.data.length; 1 <= ref ? j < ref : j > ref; i = 1 <= ref ? ++j : --j) {
|
||||
this._bubbleUp(i);
|
||||
}
|
||||
}
|
||||
return void 0;
|
||||
};
|
||||
|
||||
BinaryHeapStrategy.prototype.queue = function(value) {
|
||||
this.data.push(value);
|
||||
this._bubbleUp(this.data.length - 1);
|
||||
return void 0;
|
||||
};
|
||||
|
||||
BinaryHeapStrategy.prototype.dequeue = function() {
|
||||
var last, ret;
|
||||
ret = this.data[0];
|
||||
last = this.data.pop();
|
||||
if (this.data.length > 0) {
|
||||
this.data[0] = last;
|
||||
this._bubbleDown(0);
|
||||
}
|
||||
return ret;
|
||||
};
|
||||
|
||||
BinaryHeapStrategy.prototype.peek = function() {
|
||||
return this.data[0];
|
||||
};
|
||||
|
||||
BinaryHeapStrategy.prototype.clear = function() {
|
||||
this.length = 0;
|
||||
this.data.length = 0;
|
||||
return void 0;
|
||||
};
|
||||
|
||||
BinaryHeapStrategy.prototype._bubbleUp = function(pos) {
|
||||
var parent, x;
|
||||
while (pos > 0) {
|
||||
parent = (pos - 1) >>> 1;
|
||||
if (this.comparator(this.data[pos], this.data[parent]) < 0) {
|
||||
x = this.data[parent];
|
||||
this.data[parent] = this.data[pos];
|
||||
this.data[pos] = x;
|
||||
pos = parent;
|
||||
} else {
|
||||
break;
|
||||
}
|
||||
}
|
||||
return void 0;
|
||||
};
|
||||
|
||||
BinaryHeapStrategy.prototype._bubbleDown = function(pos) {
|
||||
var last, left, minIndex, right, x;
|
||||
last = this.data.length - 1;
|
||||
while (true) {
|
||||
left = (pos << 1) + 1;
|
||||
right = left + 1;
|
||||
minIndex = pos;
|
||||
if (left <= last && this.comparator(this.data[left], this.data[minIndex]) < 0) {
|
||||
minIndex = left;
|
||||
}
|
||||
if (right <= last && this.comparator(this.data[right], this.data[minIndex]) < 0) {
|
||||
minIndex = right;
|
||||
}
|
||||
if (minIndex !== pos) {
|
||||
x = this.data[minIndex];
|
||||
this.data[minIndex] = this.data[pos];
|
||||
this.data[pos] = x;
|
||||
pos = minIndex;
|
||||
} else {
|
||||
break;
|
||||
}
|
||||
}
|
||||
return void 0;
|
||||
};
|
||||
|
||||
return BinaryHeapStrategy;
|
||||
|
||||
})();
|
||||
|
||||
|
||||
},{}]},{},[1])(1)
|
||||
});
|
||||
436
libs/quantize.js
Normal file
436
libs/quantize.js
Normal file
|
|
@ -0,0 +1,436 @@
|
|||
// Forked from color-thief.js Copyright 2011 Lokesh Dhakar under MIT license
|
||||
// var pixelArray = [[190,197,190], [202,204,200], [207,214,210]]; // ... etc;
|
||||
// var cmap = MMCQ.quantize(pixelArray, colorCount);
|
||||
// var palette = cmap ? cmap.palette() : null;
|
||||
|
||||
// Protovis. Copyright 2010 Stanford Visualization Group (http://mbostock.github.com/protovis/)
|
||||
// Licensed under the BSD License: http://www.opensource.org/licenses/bsd-license.php
|
||||
if (!pv) {
|
||||
var pv = {
|
||||
map: function(array, f) {
|
||||
var o = {};
|
||||
return f ? array.map(function(d, i) { o.index = i; return f.call(o, d); }) : array.slice();
|
||||
},
|
||||
naturalOrder: function(a, b) {
|
||||
return (a < b) ? -1 : ((a > b) ? 1 : 0);
|
||||
},
|
||||
sum: function(array, f) {
|
||||
var o = {};
|
||||
return array.reduce(f ? function(p, d, i) { o.index = i; return p + f.call(o, d); } : function(p, d) { return p + d; }, 0);
|
||||
},
|
||||
max: function(array, f) {
|
||||
return Math.max.apply(null, f ? pv.map(array, f) : array);
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
// MMCQ (Modified median cut quantization). Algorithm from the Leptonica library, modified by Nick Rabinowitz
|
||||
// quantize.js Copyright 2008 Nick Rabinowitz under MIT license
|
||||
var MMCQ = (function() {
|
||||
// private constants
|
||||
var sigbits = 5,
|
||||
rshift = 8 - sigbits,
|
||||
maxIterations = 1000,
|
||||
fractByPopulations = 0.75;
|
||||
|
||||
// get reduced-space color index for a pixel
|
||||
function getColorIndex(r, g, b) {
|
||||
return (r << (2 * sigbits)) + (g << sigbits) + b;
|
||||
}
|
||||
|
||||
// Simple priority queue
|
||||
function PQueue(comparator) {
|
||||
var contents = [],
|
||||
sorted = false;
|
||||
|
||||
function sort() {
|
||||
contents.sort(comparator);
|
||||
sorted = true;
|
||||
}
|
||||
|
||||
return {
|
||||
push: function(o) {
|
||||
contents.push(o);
|
||||
sorted = false;
|
||||
},
|
||||
peek: function(index) {
|
||||
if (!sorted) sort();
|
||||
if (index===undefined) index = contents.length - 1;
|
||||
return contents[index];
|
||||
},
|
||||
pop: function() {
|
||||
if (!sorted) sort();
|
||||
return contents.pop();
|
||||
},
|
||||
size: function() {
|
||||
return contents.length;
|
||||
},
|
||||
map: function(f) {
|
||||
return contents.map(f);
|
||||
},
|
||||
debug: function() {
|
||||
if (!sorted) sort();
|
||||
return contents;
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
// 3d color space box
|
||||
function VBox(r1, r2, g1, g2, b1, b2, histo) {
|
||||
var vbox = this;
|
||||
vbox.r1 = r1;
|
||||
vbox.r2 = r2;
|
||||
vbox.g1 = g1;
|
||||
vbox.g2 = g2;
|
||||
vbox.b1 = b1;
|
||||
vbox.b2 = b2;
|
||||
vbox.histo = histo;
|
||||
}
|
||||
VBox.prototype = {
|
||||
volume: function(force) {
|
||||
var vbox = this;
|
||||
if (!vbox._volume || force) {
|
||||
vbox._volume = ((vbox.r2 - vbox.r1 + 1) * (vbox.g2 - vbox.g1 + 1) * (vbox.b2 - vbox.b1 + 1));
|
||||
}
|
||||
return vbox._volume;
|
||||
},
|
||||
count: function(force) {
|
||||
var vbox = this,
|
||||
histo = vbox.histo;
|
||||
if (!vbox._count_set || force) {
|
||||
var npix = 0,
|
||||
index, i, j, k;
|
||||
for (i = vbox.r1; i <= vbox.r2; i++) {
|
||||
for (j = vbox.g1; j <= vbox.g2; j++) {
|
||||
for (k = vbox.b1; k <= vbox.b2; k++) {
|
||||
index = getColorIndex(i,j,k);
|
||||
npix += (histo[index] || 0);
|
||||
}
|
||||
}
|
||||
}
|
||||
vbox._count = npix;
|
||||
vbox._count_set = true;
|
||||
}
|
||||
return vbox._count;
|
||||
},
|
||||
copy: function() {
|
||||
var vbox = this;
|
||||
return new VBox(vbox.r1, vbox.r2, vbox.g1, vbox.g2, vbox.b1, vbox.b2, vbox.histo);
|
||||
},
|
||||
avg: function(force) {
|
||||
var vbox = this,
|
||||
histo = vbox.histo;
|
||||
if (!vbox._avg || force) {
|
||||
var ntot = 0,
|
||||
mult = 1 << (8 - sigbits),
|
||||
rsum = 0,
|
||||
gsum = 0,
|
||||
bsum = 0,
|
||||
hval,
|
||||
i, j, k, histoindex;
|
||||
for (i = vbox.r1; i <= vbox.r2; i++) {
|
||||
for (j = vbox.g1; j <= vbox.g2; j++) {
|
||||
for (k = vbox.b1; k <= vbox.b2; k++) {
|
||||
histoindex = getColorIndex(i,j,k);
|
||||
hval = histo[histoindex] || 0;
|
||||
ntot += hval;
|
||||
rsum += (hval * (i + 0.5) * mult);
|
||||
gsum += (hval * (j + 0.5) * mult);
|
||||
bsum += (hval * (k + 0.5) * mult);
|
||||
}
|
||||
}
|
||||
}
|
||||
if (ntot) {
|
||||
vbox._avg = [~~(rsum/ntot), ~~(gsum/ntot), ~~(bsum/ntot)];
|
||||
} else {
|
||||
// console.log('empty box');
|
||||
vbox._avg = [
|
||||
~~(mult * (vbox.r1 + vbox.r2 + 1) / 2),
|
||||
~~(mult * (vbox.g1 + vbox.g2 + 1) / 2),
|
||||
~~(mult * (vbox.b1 + vbox.b2 + 1) / 2)
|
||||
];
|
||||
}
|
||||
}
|
||||
return vbox._avg;
|
||||
},
|
||||
contains: function(pixel) {
|
||||
var vbox = this,
|
||||
rval = pixel[0] >> rshift;
|
||||
gval = pixel[1] >> rshift;
|
||||
bval = pixel[2] >> rshift;
|
||||
return (rval >= vbox.r1 && rval <= vbox.r2 &&
|
||||
gval >= vbox.g1 && gval <= vbox.g2 &&
|
||||
bval >= vbox.b1 && bval <= vbox.b2);
|
||||
}
|
||||
};
|
||||
|
||||
// Color map
|
||||
function CMap() {
|
||||
this.vboxes = new PQueue(function(a,b) {
|
||||
return pv.naturalOrder(
|
||||
a.vbox.count()*a.vbox.volume(),
|
||||
b.vbox.count()*b.vbox.volume()
|
||||
);
|
||||
});
|
||||
}
|
||||
CMap.prototype = {
|
||||
push: function(vbox) {
|
||||
this.vboxes.push({
|
||||
vbox: vbox,
|
||||
color: vbox.avg()
|
||||
});
|
||||
},
|
||||
palette: function() {
|
||||
return this.vboxes.map(function(vb) { return vb.color; });
|
||||
},
|
||||
size: function() {
|
||||
return this.vboxes.size();
|
||||
},
|
||||
map: function(color) {
|
||||
var vboxes = this.vboxes;
|
||||
for (var i=0; i<vboxes.size(); i++) {
|
||||
if (vboxes.peek(i).vbox.contains(color)) {
|
||||
return vboxes.peek(i).color;
|
||||
}
|
||||
}
|
||||
return this.nearest(color);
|
||||
},
|
||||
nearest: function(color) {
|
||||
var vboxes = this.vboxes,
|
||||
d1, d2, pColor;
|
||||
for (var i=0; i<vboxes.size(); i++) {
|
||||
d2 = Math.sqrt(
|
||||
Math.pow(color[0] - vboxes.peek(i).color[0], 2) +
|
||||
Math.pow(color[1] - vboxes.peek(i).color[1], 2) +
|
||||
Math.pow(color[2] - vboxes.peek(i).color[2], 2)
|
||||
);
|
||||
if (d2 < d1 || d1 === undefined) {
|
||||
d1 = d2;
|
||||
pColor = vboxes.peek(i).color;
|
||||
}
|
||||
}
|
||||
return pColor;
|
||||
},
|
||||
forcebw: function() {
|
||||
// XXX: won't work yet
|
||||
var vboxes = this.vboxes;
|
||||
vboxes.sort(function(a,b) { return pv.naturalOrder(pv.sum(a.color), pv.sum(b.color));});
|
||||
|
||||
// force darkest color to black if everything < 5
|
||||
var lowest = vboxes[0].color;
|
||||
if (lowest[0] < 5 && lowest[1] < 5 && lowest[2] < 5)
|
||||
vboxes[0].color = [0,0,0];
|
||||
|
||||
// force lightest color to white if everything > 251
|
||||
var idx = vboxes.length-1,
|
||||
highest = vboxes[idx].color;
|
||||
if (highest[0] > 251 && highest[1] > 251 && highest[2] > 251)
|
||||
vboxes[idx].color = [255,255,255];
|
||||
}
|
||||
};
|
||||
|
||||
// histo (1-d array, giving the number of pixels in
|
||||
// each quantized region of color space), or null on error
|
||||
function getHisto(pixels) {
|
||||
var histosize = 1 << (3 * sigbits),
|
||||
histo = new Array(histosize),
|
||||
index, rval, gval, bval;
|
||||
pixels.forEach(function(pixel) {
|
||||
rval = pixel[0] >> rshift;
|
||||
gval = pixel[1] >> rshift;
|
||||
bval = pixel[2] >> rshift;
|
||||
index = getColorIndex(rval, gval, bval);
|
||||
histo[index] = (histo[index] || 0) + 1;
|
||||
});
|
||||
return histo;
|
||||
}
|
||||
|
||||
function vboxFromPixels(pixels, histo) {
|
||||
var rmin=1000000, rmax=0,
|
||||
gmin=1000000, gmax=0,
|
||||
bmin=1000000, bmax=0,
|
||||
rval, gval, bval;
|
||||
// find min/max
|
||||
pixels.forEach(function(pixel) {
|
||||
rval = pixel[0] >> rshift;
|
||||
gval = pixel[1] >> rshift;
|
||||
bval = pixel[2] >> rshift;
|
||||
if (rval < rmin) rmin = rval;
|
||||
else if (rval > rmax) rmax = rval;
|
||||
if (gval < gmin) gmin = gval;
|
||||
else if (gval > gmax) gmax = gval;
|
||||
if (bval < bmin) bmin = bval;
|
||||
else if (bval > bmax) bmax = bval;
|
||||
});
|
||||
return new VBox(rmin, rmax, gmin, gmax, bmin, bmax, histo);
|
||||
}
|
||||
|
||||
function medianCutApply(histo, vbox) {
|
||||
if (!vbox.count()) return;
|
||||
|
||||
var rw = vbox.r2 - vbox.r1 + 1,
|
||||
gw = vbox.g2 - vbox.g1 + 1,
|
||||
bw = vbox.b2 - vbox.b1 + 1,
|
||||
maxw = pv.max([rw, gw, bw]);
|
||||
// only one pixel, no split
|
||||
if (vbox.count() == 1) {
|
||||
return [vbox.copy()];
|
||||
}
|
||||
/* Find the partial sum arrays along the selected axis. */
|
||||
var total = 0,
|
||||
partialsum = [],
|
||||
lookaheadsum = [],
|
||||
i, j, k, sum, index;
|
||||
if (maxw == rw) {
|
||||
for (i = vbox.r1; i <= vbox.r2; i++) {
|
||||
sum = 0;
|
||||
for (j = vbox.g1; j <= vbox.g2; j++) {
|
||||
for (k = vbox.b1; k <= vbox.b2; k++) {
|
||||
index = getColorIndex(i,j,k);
|
||||
sum += (histo[index] || 0);
|
||||
}
|
||||
}
|
||||
total += sum;
|
||||
partialsum[i] = total;
|
||||
}
|
||||
}
|
||||
else if (maxw == gw) {
|
||||
for (i = vbox.g1; i <= vbox.g2; i++) {
|
||||
sum = 0;
|
||||
for (j = vbox.r1; j <= vbox.r2; j++) {
|
||||
for (k = vbox.b1; k <= vbox.b2; k++) {
|
||||
index = getColorIndex(j,i,k);
|
||||
sum += (histo[index] || 0);
|
||||
}
|
||||
}
|
||||
total += sum;
|
||||
partialsum[i] = total;
|
||||
}
|
||||
}
|
||||
else { /* maxw == bw */
|
||||
for (i = vbox.b1; i <= vbox.b2; i++) {
|
||||
sum = 0;
|
||||
for (j = vbox.r1; j <= vbox.r2; j++) {
|
||||
for (k = vbox.g1; k <= vbox.g2; k++) {
|
||||
index = getColorIndex(j,k,i);
|
||||
sum += (histo[index] || 0);
|
||||
}
|
||||
}
|
||||
total += sum;
|
||||
partialsum[i] = total;
|
||||
}
|
||||
}
|
||||
partialsum.forEach(function(d,i) {
|
||||
lookaheadsum[i] = total-d;
|
||||
});
|
||||
function doCut(color) {
|
||||
var dim1 = color + '1',
|
||||
dim2 = color + '2',
|
||||
left, right, vbox1, vbox2, d2, count2=0;
|
||||
for (i = vbox[dim1]; i <= vbox[dim2]; i++) {
|
||||
if (partialsum[i] > total / 2) {
|
||||
vbox1 = vbox.copy();
|
||||
vbox2 = vbox.copy();
|
||||
left = i - vbox[dim1];
|
||||
right = vbox[dim2] - i;
|
||||
if (left <= right)
|
||||
d2 = Math.min(vbox[dim2] - 1, ~~(i + right / 2));
|
||||
else d2 = Math.max(vbox[dim1], ~~(i - 1 - left / 2));
|
||||
// avoid 0-count boxes
|
||||
while (!partialsum[d2]) d2++;
|
||||
count2 = lookaheadsum[d2];
|
||||
while (!count2 && partialsum[d2-1]) count2 = lookaheadsum[--d2];
|
||||
// set dimensions
|
||||
vbox1[dim2] = d2;
|
||||
vbox2[dim1] = vbox1[dim2] + 1;
|
||||
// console.log('vbox counts:', vbox.count(), vbox1.count(), vbox2.count());
|
||||
return [vbox1, vbox2];
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
// determine the cut planes
|
||||
return maxw == rw ? doCut('r') :
|
||||
maxw == gw ? doCut('g') :
|
||||
doCut('b');
|
||||
}
|
||||
|
||||
function quantize(pixels, maxcolors) {
|
||||
maxcolors++;
|
||||
if (!pixels.length || maxcolors < 2 || maxcolors > 256) {return false;}
|
||||
|
||||
// XXX: check color content and convert to grayscale if insufficient
|
||||
var histo = getHisto(pixels),
|
||||
histosize = 1 << (3 * sigbits);
|
||||
|
||||
// check that we aren't below maxcolors already
|
||||
var nColors = 0;
|
||||
histo.forEach(function() { nColors++; });
|
||||
if (nColors <= maxcolors) {
|
||||
// XXX: generate the new colors from the histo and return
|
||||
}
|
||||
|
||||
// get the beginning vbox from the colors
|
||||
var vbox = vboxFromPixels(pixels, histo),
|
||||
pq = new PQueue(function(a,b) { return pv.naturalOrder(a.count(), b.count()); });
|
||||
pq.push(vbox);
|
||||
|
||||
// inner function to do the iteration
|
||||
function iter(lh, target) {
|
||||
var ncolors = 1,
|
||||
niters = 0,
|
||||
vbox;
|
||||
while (niters < maxIterations) {
|
||||
vbox = lh.pop();
|
||||
if (!vbox.count()) { /* just put it back */
|
||||
lh.push(vbox);
|
||||
niters++;
|
||||
continue;
|
||||
}
|
||||
// do the cut
|
||||
var vboxes = medianCutApply(histo, vbox),
|
||||
vbox1 = vboxes[0],
|
||||
vbox2 = vboxes[1];
|
||||
|
||||
if (!vbox1) {
|
||||
// console.log("vbox1 not defined; shouldn't happen!");
|
||||
return;
|
||||
}
|
||||
lh.push(vbox1);
|
||||
if (vbox2) { /* vbox2 can be null */
|
||||
lh.push(vbox2);
|
||||
ncolors++;
|
||||
}
|
||||
if (ncolors >= target) return;
|
||||
if (niters++ > maxIterations) {
|
||||
// console.log("infinite loop; perhaps too few pixels!");
|
||||
return;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// first set of colors, sorted by population
|
||||
iter(pq, fractByPopulations * maxcolors);
|
||||
|
||||
// Re-sort by the product of pixel occupancy times the size in color space.
|
||||
var pq2 = new PQueue(function(a,b) {
|
||||
return pv.naturalOrder(a.count()*a.volume(), b.count()*b.volume());
|
||||
});
|
||||
while (pq.size()) {
|
||||
pq2.push(pq.pop());
|
||||
}
|
||||
|
||||
// next set - generate the median cuts using the (npix * vol) sorting.
|
||||
iter(pq2, maxcolors - pq2.size());
|
||||
|
||||
// calculate the actual colors
|
||||
var cmap = new CMap();
|
||||
while (pq2.size()) {cmap.push(pq2.pop());}
|
||||
|
||||
return cmap;
|
||||
}
|
||||
|
||||
return {
|
||||
quantize: quantize
|
||||
};
|
||||
})();
|
||||
Loading…
Add table
Add a link
Reference in a new issue