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252 lines
10 KiB
252 lines
10 KiB
<html>
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<head>
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<meta charset="utf-8">
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<meta name="viewport" content="width=device-width, initial-scale=1" />
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<link rel="stylesheet" href="reset.css"/>
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<script src="esl.js"></script>
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<script src="config.js"></script>
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<script src="lib/facePrint.js"></script>
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</head>
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<body>
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<style>
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#main {
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width: 900px;
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height: 650px;
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border: 9px solid #eee;
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}
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</style>
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<div id="info"></div>
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<div id="main"></div>
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<script>
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/**
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* @see <https://en.wikipedia.org/wiki/Michelson%E2%80%93Morley_experiment>
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* @see <http://bl.ocks.org/mbostock/4061502>
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*/
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var chart;
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var data;
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var mean;
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require([
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'echarts',
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'data/Michelson-Morley.json',
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'extension/dataTool/prepareBoxplotData',
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'zrender/core/env',
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'echarts/chart/boxplot',
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'echarts/chart/scatter',
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'echarts/component/title',
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'echarts/component/legend',
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'echarts/component/markLine',
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'echarts/component/markPoint',
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'echarts/component/grid',
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'echarts/component/tooltip',
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'zrender/vml/vml'
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], function (echarts, rawData, prepareBoxplotData, env) {
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chart = echarts.init(document.getElementById('main'), null, {
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renderer: 'canvas'
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});
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update('horizontal');
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// update('vertical');
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initControlPanel(env);
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function update(layout) {
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data = prepareBoxplotData(rawData, {
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layout: layout
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});
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mean = calculateMean(rawData);
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var categoryAxis = {
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type: 'category',
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data: data.axisData,
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boundaryGap: true,
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nameGap: 30,
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splitArea: {
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show: false
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},
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axisLabel: {
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formatter: 'expr {value}'
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},
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splitLine: {
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show: false
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}
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};
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var valueAxis = {
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type: 'value',
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name: 'km/s minus 299,000',
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splitArea: {
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show: true
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}
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};
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chart.setOption({
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title: [
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{
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text: 'Michelson-Morley Experiment',
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left: 'center'
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},
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{
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text: 'upper: Q3 + 1.5 * IRQ \nlower: Q1 - 1.5 * IRQ',
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borderColor: '#999',
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borderWidth: 1,
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textStyle: {
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fontSize: 14
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},
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left: '10%',
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top: '90%'
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}
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],
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legend: {
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data: ['line', 'line2', 'line3']
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},
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tooltip: {
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trigger: 'item',
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axisPointer: {
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type: 'shadow'
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}
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},
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grid: {
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left: '10%',
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right: '10%',
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bottom: '15%'
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},
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xAxis: layout === 'horizontal' ? categoryAxis : valueAxis,
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yAxis: layout === 'vertical' ? categoryAxis : valueAxis,
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series: [
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{
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name: 'boxplot',
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type: 'boxplot',
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data: data.boxData,
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tooltip: {
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formatter: function (param) {
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return [
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'Experiment ' + param.name + ': ',
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'upper: ' + param.data[0],
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'Q1: ' + param.data[1],
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'median: ' + param.data[2],
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'Q3: ' + param.data[3],
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'lower: ' + param.data[4]
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].join('<br/>')
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}
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},
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markPoint: {
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data: [
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{
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name: '某个坐标',
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coord: [2, 300]
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},
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{
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name: '某个屏幕坐标',
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x: 100,
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y: 200,
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label: {
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normal: {
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show: false,
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formatter: 'asdf'
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},
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emphasis: {
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show: true,
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position: 'top',
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formatter: 'zxcv'
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}
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}
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},
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{
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name: 'max value (default)',
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type: 'max'
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},
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{
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name: 'min value (default)',
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type: 'min'
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},
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{
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name: 'max value (dim:Q1)',
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type: 'max',
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valueDim: 'Q1'
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},
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{
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name: 'average value (dim:Q1)',
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type: 'average',
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valueDim: 'Q1'
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}
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]
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},
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markLine: {
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data: [
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[
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{name: '两个坐标之间的标线', coord: [1, 240]},
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{coord: [2, 260]}
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],
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[
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{name: '两个屏幕坐标之间的标线', x: 50, y: 60},
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{x: 70, y: 90}
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],
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[
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{name: 'max - min', type: 'max'},
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{type: 'min'}
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],
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{
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name: 'min line',
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type: 'min'
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},
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{
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name: 'max line on dim:Q3',
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type: 'max',
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valueDim: 'Q3'
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}
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]
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}
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},
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{
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name: 'outlier',
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type: 'scatter',
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data: data.outliers
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}
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]
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});
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}
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function calculateMean(rawData) {
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var sum = 0;
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var count = 0;
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for (var i = 0, len = rawData.length; i < len; i++) {
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for (var j = 0, lenj = rawData[i].length; j < lenj; j++) {
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var value = rawData[i][j];
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count++;
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if (!isNaN(value) && value != null && value !== '') {
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sum += value;
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}
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}
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}
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return sum / count;
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};
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function initControlPanel(env) {
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if (!env.browser.ie || env.browser.ie.version > 8) {
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var scr = document.createElement('script');
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scr.src = 'lib/dat.gui.min.js';
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scr.onload = function () {
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var gui = new dat.GUI();
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var config = {
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layout: 'horizontal'
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};
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gui
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.add(config, 'layout', ['horizontal', 'vertical'])
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.onChange(update);
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};
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document.head.appendChild(scr);
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}
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}
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});
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</script>
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</body>
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</html> |