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							- <!Doctype html>
 
- <html>
 
- <head>
 
-     <script src="http://s1.bdstatic.com/r/www/cache/ecom/esl/1-8-8/esl.js"></script>
 
-     
 
-     <script src="http://ubilabs.github.io/kd-tree-javascript/kdTree.js"></script>
 
-     <meta charset="utf-8">
 
- </head>
 
- <style>
 
-     html, body {
 
-         height: 100%;
 
-         margin: 0px;
 
-     }
 
- </style>
 
- <body>
 
-     <canvas id="main"></canvas>
 
- </body>
 
- <script>
 
-     require.config({
 
-         packages: [{
 
-             name: 'echarts',
 
-             location: '../src',
 
-             main: 'echarts'
 
-         }, {
 
-             name: 'zrender',
 
-             location: '../../zrender/src',
 
-             main: 'zrender'
 
-         }]
 
-     });
 
-     require(['echarts/data/KDTree'], function (KDTree) {
 
-         var points = [];
 
-         var points2 = [];
 
-         var width = window.innerWidth;
 
-         var height = window.innerHeight;
 
-         var canvas = document.getElementById('main');
 
-         canvas.width = width;
 
-         canvas.height = height;
 
-         var ctx = canvas.getContext('2d');
 
-         for (var i = 0; i < 50000; i++) {
 
-             var point = [Math.round(width * Math.random()), Math.round(height * Math.random())];
 
-             points.push({
 
-                 array: point
 
-             });
 
-             points2.push(point);
 
-         }
 
-         var time = performance.now();
 
-         var kdTree1 = new KDTree(points);
 
-         console.log(performance.now() - time);
 
-         var squaredDistance = function (a, b) {
 
-             a = a.array;
 
-             b = b.array;
 
-             return (a[0] - b[0]) * (a[0] - b[0]) + (a[1] - b[1]) * (a[1] - b[1]);
 
-         }
 
-         var squaredDistance2 = function (a, b) {
 
-             return (a[0] - b[0]) * (a[0] - b[0]) + (a[1] - b[1]) * (a[1] - b[1]);
 
-         }
 
-         var kdTree2 = new kdTree(points2, squaredDistance2, [0, 1]);
 
-         // Find nearest
 
-         var p2 = [Math.round(width * Math.random()), Math.round(height * Math.random())];
 
-         p = {
 
-             array: p2
 
-         };
 
-         var time = performance.now();
 
-         for (var i = 0; i < 50000; i++) {
 
-             var nearest = kdTree1.nearest(p, squaredDistance);
 
-         }
 
-         console.log(performance.now() - time);
 
-         console.log(p, nearest);
 
-         // Find nearst N
 
-         var nearestN = [];
 
-         var time = performance.now();
 
-         for (var i = 0; i < 50000; i++) {
 
-             var nearest = kdTree1.nearestN(p, 5, squaredDistance, nearestN);
 
-         }
 
-         console.log(performance.now() - time);
 
-         console.log(p.array, nearestN.map(function(a) {
 
-             return a.array;
 
-         }));
 
-         setTimeout(function () {
 
-             var time = performance.now();
 
-             for (var i = 0; i < 50000; i++) {
 
-                 var nearest = kdTree2.nearest(p2, 5);
 
-             }
 
-             console.log(performance.now() - time);
 
-             console.log(p2, nearest.map(function(a) {
 
-                 return a[0];
 
-             }));
 
-         }, 1000);
 
-         // var buildSplitLines = function (node, minx, miny, maxx, maxy) {
 
-         //     switch (node.axis) {
 
-         //         case 0:
 
-         //             var x = node.data[0];
 
-         //             ctx.moveTo(x + 0.5, miny);
 
-         //             ctx.lineTo(x + 0.5, maxy);
 
-         //             ctx.stroke();
 
-         //             node.left && buildSplitLines(node.left, minx, miny, node.data[0], maxy);
 
-         //             node.right && buildSplitLines(node.right, node.data[0], miny, maxx, maxy);
 
-         //             break;
 
-         //         case 1:
 
-         //             var y = node.data[1];
 
-         //             ctx.moveTo(minx, y + 0.5);
 
-         //             ctx.lineTo(maxx, y + 0.5);
 
-         //             ctx.stroke();
 
-         //             node.left && buildSplitLines(node.left, minx, miny, maxx, node.data[1]);
 
-         //             node.right && buildSplitLines(node.right, minx, node.data[1], maxx, maxy);
 
-         //             break;
 
-         //     }
 
-         // }
 
-         // ctx.fillStyle = 'black';
 
-         // buildSplitLines(kdTree1.root, 0, 0, width, height);
 
-         // ctx.fillStyle = 'red';
 
-         // for (var i = 0; i < points.length; i++) {
 
-         //     var p = points[i];
 
-         //     ctx.fillRect(p[0], p[1], 4, 4);
 
-         // }
 
-     })
 
- </script>
 
- </html>
 
 
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