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drewwells/results.html

Created March 24, 2014 17:16
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DSL simulation with page-repeat
Raw
results.html
<!DOCTYPE html>
<html>
<head>
<title>Telemetry Performance Test Results</title>
<style type="text/css">
section {
background: white;
padding: 10px;
position: relative;
}
.collapsed:before {
content: '\25B8\00A0';
}
.expanded:before {
content: '\25BE\00A0';
}
.line-plots {
padding-left: 25px;
}
.line-plots > div {
display: inline-block;
width: 90px;
height: 40px;
margin-right: 10px;
}
.lage-line-plots {
padding-left: 25px;
}
.large-line-plots > div, .histogram-plots > div {
display: inline-block;
width: 400px;
height: 200px;
margin-right: 10px;
}
.large-line-plot-labels > div, .histogram-plot-labels > div {
display: inline-block;
width: 400px;
height: 11px;
margin-right: 10px;
color: #545454;
text-align: center;
font-size: 11px;
}
.closeButton {
background: #fff;
border: 1px solid black;
border-radius: 2px;
display: inline-block;
float: right;
line-height: 11px;
margin-top: 3px;
width: 11px;
}
.closeButton:hover {
background: #F09C9C;
}
.label {
cursor: text;
}
.label:hover {
background: #ffcc66;
}
section h1 {
text-align: center;
font-size: 1em;
}
section .tooltip {
position: absolute;
text-align: center;
background: #ffcc66;
border-radius: 5px;
padding: 0px 5px;
}
body {
padding: 0px;
margin: 0px;
font-family: sans-serif;
}
table {
background: white;
width: 100%;
}
table, td, th {
border-collapse: collapse;
padding: 5px;
white-space: nowrap;
}
tr.even {
background: #f6f6f6;
}
table td {
position: relative;
font-family: monospace;
}
th, td {
cursor: pointer;
cursor: hand;
}
th {
background: #e6eeee;
background: -webkit-gradient(linear, left top, left bottom, from(rgb(244, 244, 244)), to(rgb(217, 217, 217)));
border: 1px solid #ccc;
}
th:after {
content: ' \25B8';
}
th.headerSortUp:after {
content: ' \25BE';
}
th.headerSortDown:after {
content: ' \25B4';
}
td.comparison, td.result {
text-align: right;
}
td.better {
color: #6c6;
}
td.worse {
color: #c66;
}
td.missing {
color: #aaa;
text-align: center;
}
.checkbox {
display: inline-block;
background: #eee;
background: -webkit-gradient(linear, left bottom, left top, from(rgb(220, 220, 220)), to(rgb(200, 200, 200)));
border: inset 1px #ddd;
border-radius: 5px;
margin: 10px;
font-size: small;
cursor: pointer;
cursor: hand;
-webkit-user-select: none;
font-weight: bold;
}
.checkbox span {
display: inline-block;
line-height: 100%;
padding: 5px 8px;
border: outset 1px transparent;
}
.checkbox .checked {
background: #e6eeee;
background: -webkit-gradient(linear, left top, left bottom, from(rgb(255, 255, 255)), to(rgb(235, 235, 235)));
border: outset 1px #eee;
border-radius: 5px;
}
</style>
</head>
<body onload="init()">
<div style="padding: 0 10px; white-space: nowrap;">
Result <span id="time-memory" class="checkbox"><span class="checked">Time</span><span>Memory</span></span>
Reference <span id="reference" class="checkbox"></span>
Style <span id="scatter-line" class="checkbox"><span class="checked">Scatter</span><span>Line</span></span>
<span class="checkbox"><span class="checked" id="undelete">Undelete</span></span>
Run Telemetry with --reset-results to clear all runs
</div>
<table id="container"></table>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.6.4/jquery.min.js"></script>
<script>
/* Javascript plotting library for jQuery, version 0.8.1.
Copyright (c) 2007-2013 IOLA and Ole Laursen.
Licensed under the MIT license.
*/// first an inline dependency, jquery.colorhelpers.js, we inline it here
// for convenience
/* Plugin for jQuery for working with colors.
*
* Version 1.1.
*
* Inspiration from jQuery color animation plugin by John Resig.
*
* Released under the MIT license by Ole Laursen, October 2009.
*
* Examples:
*
* $.color.parse("#fff").scale('rgb', 0.25).add('a', -0.5).toString()
* var c = $.color.extract($("#mydiv"), 'background-color');
* console.log(c.r, c.g, c.b, c.a);
* $.color.make(100, 50, 25, 0.4).toString() // returns "rgba(100,50,25,0.4)"
*
* Note that .scale() and .add() return the same modified object
* instead of making a new one.
*
* V. 1.1: Fix error handling so e.g. parsing an empty string does
* produce a color rather than just crashing.
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i=0;i<totalRows;i++){var pos=n[i][checkCell];rows.push(r[pos]);if(!table.config.appender){var l=r[pos].length;for(var j=0;j<l;j++){tableBody[0].appendChild(r[pos][j]);}}}if(table.config.appender){table.config.appender(table,rows);}rows=null;if(table.config.debug){benchmark("Rebuilt table:",appendTime);}applyWidget(table);setTimeout(function(){$(table).trigger("sortEnd");},0);};function buildHeaders(table){if(table.config.debug){var time=new Date();}var meta=($.metadata)?true:false;var header_index=computeTableHeaderCellIndexes(table);$tableHeaders=$(table.config.selectorHeaders,table).each(function(index){this.column=header_index[this.parentNode.rowIndex+"-"+this.cellIndex];this.order=formatSortingOrder(table.config.sortInitialOrder);this.count=this.order;if(checkHeaderMetadata(this)||checkHeaderOptions(table,index))this.sortDisabled=true;if(checkHeaderOptionsSortingLocked(table,index))this.order=this.lockedOrder=checkHeaderOptionsSortingLocked(table,index);if(!this.sortDisabled){var $th=$(this).addClass(table.config.cssHeader);if(table.config.onRenderHeader)table.config.onRenderHeader.apply($th);}table.config.headerList[index]=this;});if(table.config.debug){benchmark("Built headers:",time);log($tableHeaders);}return $tableHeaders;};function computeTableHeaderCellIndexes(t){var matrix=[];var lookup={};var thead=t.getElementsByTagName('THEAD')[0];var trs=thead.getElementsByTagName('TR');for(var i=0;i<trs.length;i++){var cells=trs[i].cells;for(var j=0;j<cells.length;j++){var c=cells[j];var rowIndex=c.parentNode.rowIndex;var cellId=rowIndex+"-"+c.cellIndex;var rowSpan=c.rowSpan||1;var colSpan=c.colSpan||1
var firstAvailCol;if(typeof(matrix[rowIndex])=="undefined"){matrix[rowIndex]=[];}for(var k=0;k<matrix[rowIndex].length+1;k++){if(typeof(matrix[rowIndex][k])=="undefined"){firstAvailCol=k;break;}}lookup[cellId]=firstAvailCol;for(var k=rowIndex;k<rowIndex+rowSpan;k++){if(typeof(matrix[k])=="undefined"){matrix[k]=[];}var matrixrow=matrix[k];for(var l=firstAvailCol;l<firstAvailCol+colSpan;l++){matrixrow[l]="x";}}}}return lookup;}function checkCellColSpan(table,rows,row){var arr=[],r=table.tHead.rows,c=r[row].cells;for(var i=0;i<c.length;i++){var cell=c[i];if(cell.colSpan>1){arr=arr.concat(checkCellColSpan(table,headerArr,row++));}else{if(table.tHead.length==1||(cell.rowSpan>1||!r[row+1])){arr.push(cell);}}}return arr;};function checkHeaderMetadata(cell){if(($.metadata)&&($(cell).metadata().sorter===false)){return true;};return false;}function checkHeaderOptions(table,i){if((table.config.headers[i])&&(table.config.headers[i].sorter===false)){return true;};return false;}function checkHeaderOptionsSortingLocked(table,i){if((table.config.headers[i])&&(table.config.headers[i].lockedOrder))return table.config.headers[i].lockedOrder;return false;}function applyWidget(table){var c=table.config.widgets;var l=c.length;for(var i=0;i<l;i++){getWidgetById(c[i]).format(table);}}function getWidgetById(name){var l=widgets.length;for(var i=0;i<l;i++){if(widgets[i].id.toLowerCase()==name.toLowerCase()){return widgets[i];}}};function formatSortingOrder(v){if(typeof(v)!="Number"){return(v.toLowerCase()=="desc")?1:0;}else{return(v==1)?1:0;}}function isValueInArray(v,a){var l=a.length;for(var i=0;i<l;i++){if(a[i][0]==v){return true;}}return false;}function setHeadersCss(table,$headers,list,css){$headers.removeClass(css[0]).removeClass(css[1]);var h=[];$headers.each(function(offset){if(!this.sortDisabled){h[this.column]=$(this);}});var l=list.length;for(var i=0;i<l;i++){h[list[i][0]].addClass(css[list[i][1]]);}}function fixColumnWidth(table,$headers){var c=table.config;if(c.widthFixed){var colgroup=$('<colgroup>');$("tr:first td",table.tBodies[0]).each(function(){colgroup.append($('<col>').css('width',$(this).width()));});$(table).prepend(colgroup);};}function updateHeaderSortCount(table,sortList){var c=table.config,l=sortList.length;for(var i=0;i<l;i++){var s=sortList[i],o=c.headerList[s[0]];o.count=s[1];o.count++;}}function multisort(table,sortList,cache){if(table.config.debug){var sortTime=new Date();}var dynamicExp="var sortWrapper = function(a,b) {",l=sortList.length;for(var i=0;i<l;i++){var c=sortList[i][0];var order=sortList[i][1];var s=(table.config.parsers[c].type=="text")?((order==0)?makeSortFunction("text","asc",c):makeSortFunction("text","desc",c)):((order==0)?makeSortFunction("numeric","asc",c):makeSortFunction("numeric","desc",c));var e="e"+i;dynamicExp+="var "+e+" = "+s;dynamicExp+="if("+e+") { return "+e+"; } ";dynamicExp+="else { ";}var orgOrderCol=cache.normalized[0].length-1;dynamicExp+="return a["+orgOrderCol+"]-b["+orgOrderCol+"];";for(var i=0;i<l;i++){dynamicExp+="}; ";}dynamicExp+="return 0; ";dynamicExp+="}; ";if(table.config.debug){benchmark("Evaling expression:"+dynamicExp,new Date());}eval(dynamicExp);cache.normalized.sort(sortWrapper);if(table.config.debug){benchmark("Sorting on "+sortList.toString()+" and dir "+order+" time:",sortTime);}return cache;};function makeSortFunction(type,direction,index){var a="a["+index+"]",b="b["+index+"]";if(type=='text'&&direction=='asc'){return"("+a+" == "+b+" ? 0 : ("+a+" === null ? Number.POSITIVE_INFINITY : ("+b+" === null ? Number.NEGATIVE_INFINITY : ("+a+" < "+b+") ? -1 : 1 )));";}else if(type=='text'&&direction=='desc'){return"("+a+" == "+b+" ? 0 : ("+a+" === null ? Number.POSITIVE_INFINITY : ("+b+" === null ? Number.NEGATIVE_INFINITY : ("+b+" < "+a+") ? -1 : 1 )));";}else if(type=='numeric'&&direction=='asc'){return"("+a+" === null && "+b+" === null) ? 0 :("+a+" === null ? Number.POSITIVE_INFINITY : ("+b+" === null ? Number.NEGATIVE_INFINITY : "+a+" - "+b+"));";}else if(type=='numeric'&&direction=='desc'){return"("+a+" === null && "+b+" === null) ? 0 :("+a+" === null ? Number.POSITIVE_INFINITY : ("+b+" === null ? Number.NEGATIVE_INFINITY : "+b+" - "+a+"));";}};function makeSortText(i){return"((a["+i+"] < b["+i+"]) ? -1 : ((a["+i+"] > b["+i+"]) ? 1 : 0));";};function makeSortTextDesc(i){return"((b["+i+"] < a["+i+"]) ? -1 : ((b["+i+"] > a["+i+"]) ? 1 : 0));";};function makeSortNumeric(i){return"a["+i+"]-b["+i+"];";};function makeSortNumericDesc(i){return"b["+i+"]-a["+i+"];";};function sortText(a,b){if(table.config.sortLocaleCompare)return a.localeCompare(b);return((a<b)?-1:((a>b)?1:0));};function sortTextDesc(a,b){if(table.config.sortLocaleCompare)return b.localeCompare(a);return((b<a)?-1:((b>a)?1:0));};function sortNumeric(a,b){return a-b;};function sortNumericDesc(a,b){return b-a;};function getCachedSortType(parsers,i){return parsers[i].type;};this.construct=function(settings){return this.each(function(){if(!this.tHead||!this.tBodies)return;var $this,$document,$headers,cache,config,shiftDown=0,sortOrder;this.config={};config=$.extend(this.config,$.tablesorter.defaults,settings);$this=$(this);$.data(this,"tablesorter",config);$headers=buildHeaders(this);this.config.parsers=buildParserCache(this,$headers);cache=buildCache(this);var sortCSS=[config.cssDesc,config.cssAsc];fixColumnWidth(this);$headers.click(function(e){var totalRows=($this[0].tBodies[0]&&$this[0].tBodies[0].rows.length)||0;if(!this.sortDisabled&&totalRows>0){$this.trigger("sortStart");var $cell=$(this);var i=this.column;this.order=this.count++%2;if(this.lockedOrder)this.order=this.lockedOrder;if(!e[config.sortMultiSortKey]){config.sortList=[];if(config.sortForce!=null){var a=config.sortForce;for(var j=0;j<a.length;j++){if(a[j][0]!=i){config.sortList.push(a[j]);}}}config.sortList.push([i,this.order]);}else{if(isValueInArray(i,config.sortList)){for(var j=0;j<config.sortList.length;j++){var s=config.sortList[j],o=config.headerList[s[0]];if(s[0]==i){o.count=s[1];o.count++;s[1]=o.count%2;}}}else{config.sortList.push([i,this.order]);}};setTimeout(function(){setHeadersCss($this[0],$headers,config.sortList,sortCSS);appendToTable($this[0],multisort($this[0],config.sortList,cache));},1);return false;}}).mousedown(function(){if(config.cancelSelection){this.onselectstart=function(){return false};return false;}});$this.bind("update",function(){var me=this;setTimeout(function(){me.config.parsers=buildParserCache(me,$headers);cache=buildCache(me);},1);}).bind("updateCell",function(e,cell){var config=this.config;var pos=[(cell.parentNode.rowIndex-1),cell.cellIndex];cache.normalized[pos[0]][pos[1]]=config.parsers[pos[1]].format(getElementText(config,cell),cell);}).bind("sorton",function(e,list){$(this).trigger("sortStart");config.sortList=list;var sortList=config.sortList;updateHeaderSortCount(this,sortList);setHeadersCss(this,$headers,sortList,sortCSS);appendToTable(this,multisort(this,sortList,cache));}).bind("appendCache",function(){appendToTable(this,cache);}).bind("applyWidgetId",function(e,id){getWidgetById(id).format(this);}).bind("applyWidgets",function(){applyWidget(this);});if($.metadata&&($(this).metadata()&&$(this).metadata().sortlist)){config.sortList=$(this).metadata().sortlist;}if(config.sortList.length>0){$this.trigger("sorton",[config.sortList]);}applyWidget(this);});};this.addParser=function(parser){var l=parsers.length,a=true;for(var i=0;i<l;i++){if(parsers[i].id.toLowerCase()==parser.id.toLowerCase()){a=false;}}if(a){parsers.push(parser);};};this.addWidget=function(widget){widgets.push(widget);};this.formatFloat=function(s){var i=parseFloat(s);return(isNaN(i))?0:i;};this.formatInt=function(s){var i=parseInt(s);return(isNaN(i))?0:i;};this.isDigit=function(s,config){return/^[-+]?\d*$/.test($.trim(s.replace(/[,.']/g,'')));};this.clearTableBody=function(table){if($.browser.msie){function empty(){while(this.firstChild)this.removeChild(this.firstChild);}empty.apply(table.tBodies[0]);}else{table.tBodies[0].innerHTML="";}};}});$.fn.extend({tablesorter:$.tablesorter.construct});var ts=$.tablesorter;ts.addParser({id:"text",is:function(s){return true;},format:function(s){return $.trim(s.toLocaleLowerCase());},type:"text"});ts.addParser({id:"digit",is:function(s,table){var c=table.config;return $.tablesorter.isDigit(s,c);},format:function(s){return $.tablesorter.formatFloat(s);},type:"numeric"});ts.addParser({id:"currency",is:function(s){return/^[£$€?.]/.test(s);},format:function(s){return $.tablesorter.formatFloat(s.replace(new RegExp(/[£$€]/g),""));},type:"numeric"});ts.addParser({id:"ipAddress",is:function(s){return/^\d{2,3}[\.]\d{2,3}[\.]\d{2,3}[\.]\d{2,3}$/.test(s);},format:function(s){var a=s.split("."),r="",l=a.length;for(var i=0;i<l;i++){var item=a[i];if(item.length==2){r+="0"+item;}else{r+=item;}}return $.tablesorter.formatFloat(r);},type:"numeric"});ts.addParser({id:"url",is:function(s){return/^(https?|ftp|file):\/\/$/.test(s);},format:function(s){return jQuery.trim(s.replace(new RegExp(/(https?|ftp|file):\/\//),''));},type:"text"});ts.addParser({id:"isoDate",is:function(s){return/^\d{4}[\/-]\d{1,2}[\/-]\d{1,2}$/.test(s);},format:function(s){return $.tablesorter.formatFloat((s!="")?new Date(s.replace(new RegExp(/-/g),"/")).getTime():"0");},type:"numeric"});ts.addParser({id:"percent",is:function(s){return/\%$/.test($.trim(s));},format:function(s){return $.tablesorter.formatFloat(s.replace(new RegExp(/%/g),""));},type:"numeric"});ts.addParser({id:"usLongDate",is:function(s){return s.match(new RegExp(/^[A-Za-z]{3,10}\.? [0-9]{1,2}, ([0-9]{4}|'?[0-9]{2}) (([0-2]?[0-9]:[0-5][0-9])|([0-1]?[0-9]:[0-5][0-9]\s(AM|PM)))$/));},format:function(s){return $.tablesorter.formatFloat(new Date(s).getTime());},type:"numeric"});ts.addParser({id:"shortDate",is:function(s){return/\d{1,2}[\/\-]\d{1,2}[\/\-]\d{2,4}/.test(s);},format:function(s,table){var c=table.config;s=s.replace(/\-/g,"/");if(c.dateFormat=="us"){s=s.replace(/(\d{1,2})[\/\-](\d{1,2})[\/\-](\d{4})/,"$3/$1/$2");}else if(c.dateFormat=="uk"){s=s.replace(/(\d{1,2})[\/\-](\d{1,2})[\/\-](\d{4})/,"$3/$2/$1");}else if(c.dateFormat=="dd/mm/yy"||c.dateFormat=="dd-mm-yy"){s=s.replace(/(\d{1,2})[\/\-](\d{1,2})[\/\-](\d{2})/,"$1/$2/$3");}return $.tablesorter.formatFloat(new Date(s).getTime());},type:"numeric"});ts.addParser({id:"time",is:function(s){return/^(([0-2]?[0-9]:[0-5][0-9])|([0-1]?[0-9]:[0-5][0-9]\s(am|pm)))$/.test(s);},format:function(s){return $.tablesorter.formatFloat(new Date("2000/01/01 "+s).getTime());},type:"numeric"});ts.addParser({id:"metadata",is:function(s){return false;},format:function(s,table,cell){var c=table.config,p=(!c.parserMetadataName)?'sortValue':c.parserMetadataName;return $(cell).metadata()[p];},type:"numeric"});ts.addWidget({id:"zebra",format:function(table){if(table.config.debug){var time=new Date();}var $tr,row=-1,odd;$("tr:visible",table.tBodies[0]).each(function(i){$tr=$(this);if(!$tr.hasClass(table.config.cssChildRow))row++;odd=(row%2==0);$tr.removeClass(table.config.widgetZebra.css[odd?0:1]).addClass(table.config.widgetZebra.css[odd?1:0])});if(table.config.debug){$.tablesorter.benchmark("Applying Zebra widget",time);}}});})(jQuery);/*
* Copyright (C) 2012, 2013 Apple Inc. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* 1. Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY APPLE INC. AND ITS CONTRIBUTORS ``AS IS''
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
* THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL APPLE INC. OR ITS CONTRIBUTORS
* BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
* CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
* SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
* INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
* CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
* ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
* THE POSSIBILITY OF SUCH DAMAGE.
*/
var Statistics = new (function () {
this.max = function (values) {
return Math.max.apply(Math, values);
}
this.min = function (values) {
return Math.min.apply(Math, values);
}
this.sum = function (values) {
return values.reduce(function (a, b) { return a + b; }, 0);
}
this.squareSum = function (values) {
return values.reduce(function (sum, value) { return sum + value * value;}, 0);
}
// With sum and sum of squares, we can compute the sample standard deviation in O(1).
// See https://rniwa.com/2012-11-10/sample-standard-deviation-in-terms-of-sum-and-square-sum-of-samples/
this.sampleStandardDeviation = function (numberOfSamples, sum, squareSum) {
if (numberOfSamples < 2)
return 0;
return Math.sqrt(squareSum / (numberOfSamples - 1)
- sum * sum / (numberOfSamples - 1) / numberOfSamples);
}
this.supportedConfidenceLevels = function () {
var supportedLevels = [];
for (var quantile in tDistributionInverseCDF)
supportedLevels.push((1 - (1 - quantile) * 2).toFixed(2));
return supportedLevels;
}
// Computes the delta d s.t. (mean - d, mean + d) is the confidence interval with the specified confidence level in O(1).
this.confidenceIntervalDelta = function (confidenceLevel, numberOfSamples, sum, squareSum) {
var probability = (1 - (1 - confidenceLevel) / 2);
if (!(probability in tDistributionInverseCDF)) {
console.warn('We only support ' + this.supportedConfidenceLevels().map(
function (level) { return level * 100 + '%'; } ).join(', ') + ' confidence intervals.');
return NaN;
}
if (numberOfSamples - 2 < 0)
return NaN;
var cdfForProbability = tDistributionInverseCDF[probability];
var degreesOfFreedom = numberOfSamples - 1;
if (degreesOfFreedom > cdfForProbability.length) {
console.warn('We only support up to ' + cdfForProbability.length + ' degrees of freedom');
return NaN;
}
// tDistributionQuantile(degreesOfFreedom, confidenceLevel) * sampleStandardDeviation / sqrt(numberOfSamples) * S/sqrt(numberOfSamples)
var quantile = cdfForProbability[degreesOfFreedom - 1]; // The first entry is for the one degree of freedom.
return quantile * this.sampleStandardDeviation(numberOfSamples, sum, squareSum) / Math.sqrt(numberOfSamples);
}
this.confidenceInterval = function (values, probability) {
var sum = this.sum(values);
var mean = sum / values.length;
var delta = this.confidenceIntervalDelta(probability || 0.95, values.length, sum, this.squareSum(values));
return [mean - delta, mean + delta];
}
// See http://en.wikipedia.org/wiki/Student's_t-distribution#Table_of_selected_values
// This table contains one sided (a.k.a. tail) values.
var tDistributionInverseCDF = {
0.9: [
3.077684, 1.885618, 1.637744, 1.533206, 1.475884, 1.439756, 1.414924, 1.396815, 1.383029, 1.372184,
1.363430, 1.356217, 1.350171, 1.345030, 1.340606, 1.336757, 1.333379, 1.330391, 1.327728, 1.325341,
1.323188, 1.321237, 1.319460, 1.317836, 1.316345, 1.314972, 1.313703, 1.312527, 1.311434, 1.310415,
1.309464, 1.308573, 1.307737, 1.306952, 1.306212, 1.305514, 1.304854, 1.304230, 1.303639, 1.303077,
1.302543, 1.302035, 1.301552, 1.301090, 1.300649, 1.300228, 1.299825, 1.299439, 1.299069, 1.298714,
1.298373, 1.298045, 1.297730, 1.297426, 1.297134, 1.296853, 1.296581, 1.296319, 1.296066, 1.295821,
1.295585, 1.295356, 1.295134, 1.294920, 1.294712, 1.294511, 1.294315, 1.294126, 1.293942, 1.293763,
1.293589, 1.293421, 1.293256, 1.293097, 1.292941, 1.292790, 1.292643, 1.292500, 1.292360, 1.292224,
1.292091, 1.291961, 1.291835, 1.291711, 1.291591, 1.291473, 1.291358, 1.291246, 1.291136, 1.291029,
1.290924, 1.290821, 1.290721, 1.290623, 1.290527, 1.290432, 1.290340, 1.290250, 1.290161, 1.290075],
0.95: [
6.313752, 2.919986, 2.353363, 2.131847, 2.015048, 1.943180, 1.894579, 1.859548, 1.833113, 1.812461,
1.795885, 1.782288, 1.770933, 1.761310, 1.753050, 1.745884, 1.739607, 1.734064, 1.729133, 1.724718,
1.720743, 1.717144, 1.713872, 1.710882, 1.708141, 1.705618, 1.703288, 1.701131, 1.699127, 1.697261,
1.695519, 1.693889, 1.692360, 1.690924, 1.689572, 1.688298, 1.687094, 1.685954, 1.684875, 1.683851,
1.682878, 1.681952, 1.681071, 1.680230, 1.679427, 1.678660, 1.677927, 1.677224, 1.676551, 1.675905,
1.675285, 1.674689, 1.674116, 1.673565, 1.673034, 1.672522, 1.672029, 1.671553, 1.671093, 1.670649,
1.670219, 1.669804, 1.669402, 1.669013, 1.668636, 1.668271, 1.667916, 1.667572, 1.667239, 1.666914,
1.666600, 1.666294, 1.665996, 1.665707, 1.665425, 1.665151, 1.664885, 1.664625, 1.664371, 1.664125,
1.663884, 1.663649, 1.663420, 1.663197, 1.662978, 1.662765, 1.662557, 1.662354, 1.662155, 1.661961,
1.661771, 1.661585, 1.661404, 1.661226, 1.661052, 1.660881, 1.660715, 1.660551, 1.660391, 1.660234],
0.975: [
12.706205, 4.302653, 3.182446, 2.776445, 2.570582, 2.446912, 2.364624, 2.306004, 2.262157, 2.228139,
2.200985, 2.178813, 2.160369, 2.144787, 2.131450, 2.119905, 2.109816, 2.100922, 2.093024, 2.085963,
2.079614, 2.073873, 2.068658, 2.063899, 2.059539, 2.055529, 2.051831, 2.048407, 2.045230, 2.042272,
2.039513, 2.036933, 2.034515, 2.032245, 2.030108, 2.028094, 2.026192, 2.024394, 2.022691, 2.021075,
2.019541, 2.018082, 2.016692, 2.015368, 2.014103, 2.012896, 2.011741, 2.010635, 2.009575, 2.008559,
2.007584, 2.006647, 2.005746, 2.004879, 2.004045, 2.003241, 2.002465, 2.001717, 2.000995, 2.000298,
1.999624, 1.998972, 1.998341, 1.997730, 1.997138, 1.996564, 1.996008, 1.995469, 1.994945, 1.994437,
1.993943, 1.993464, 1.992997, 1.992543, 1.992102, 1.991673, 1.991254, 1.990847, 1.990450, 1.990063,
1.989686, 1.989319, 1.988960, 1.988610, 1.988268, 1.987934, 1.987608, 1.987290, 1.986979, 1.986675,
1.986377, 1.986086, 1.985802, 1.985523, 1.985251, 1.984984, 1.984723, 1.984467, 1.984217, 1.983972],
0.99: [
31.820516, 6.964557, 4.540703, 3.746947, 3.364930, 3.142668, 2.997952, 2.896459, 2.821438, 2.763769,
2.718079, 2.680998, 2.650309, 2.624494, 2.602480, 2.583487, 2.566934, 2.552380, 2.539483, 2.527977,
2.517648, 2.508325, 2.499867, 2.492159, 2.485107, 2.478630, 2.472660, 2.467140, 2.462021, 2.457262,
2.452824, 2.448678, 2.444794, 2.441150, 2.437723, 2.434494, 2.431447, 2.428568, 2.425841, 2.423257,
2.420803, 2.418470, 2.416250, 2.414134, 2.412116, 2.410188, 2.408345, 2.406581, 2.404892, 2.403272,
2.401718, 2.400225, 2.398790, 2.397410, 2.396081, 2.394801, 2.393568, 2.392377, 2.391229, 2.390119,
2.389047, 2.388011, 2.387008, 2.386037, 2.385097, 2.384186, 2.383302, 2.382446, 2.381615, 2.380807,
2.380024, 2.379262, 2.378522, 2.377802, 2.377102, 2.376420, 2.375757, 2.375111, 2.374482, 2.373868,
2.373270, 2.372687, 2.372119, 2.371564, 2.371022, 2.370493, 2.369977, 2.369472, 2.368979, 2.368497,
2.368026, 2.367566, 2.367115, 2.366674, 2.366243, 2.365821, 2.365407, 2.365002, 2.364606, 2.364217]
};
})();
if (typeof module != 'undefined') {
for (var key in Statistics)
module.exports[key] = Statistics[key];
}
</script>
<script>
function TestResult(metric, values, associatedRun) {
if (values[0] instanceof Array) {
var flattenedValues = [];
for (var i = 0; i < values.length; i++)
flattenedValues = flattenedValues.concat(values[i]);
values = flattenedValues;
}
if (jQuery.type(values[0]) === 'string') {
try {
var current = JSON.parse(values[0]);
if (current.params.type === 'HISTOGRAM') {
this.histogramValues = current;
// Histogram results have no values (per se). Instead we calculate
// the values from the histogram bins.
var values = [];
var buckets = current.buckets
for (var i = 0; i < buckets.length; i++) {
var bucket = buckets[i];
var bucket_mean = (bucket.high + bucket.low) / 2;
for (var b = 0; b < bucket.count; b++) {
values.push(bucket_mean);
}
}
}
}
catch (e) { /* ignore, assume not a JSON string */ }
}
this.test = function () { return metric; }
this.values = function () { return values.map(function (value) { return metric.scalingFactor() * value; }); }
this.unscaledMean = function () { return Statistics.sum(values) / values.length; }
this.mean = function () { return metric.scalingFactor() * this.unscaledMean(); }
this.min = function () { return metric.scalingFactor() * Statistics.min(values); }
this.max = function () { return metric.scalingFactor() * Statistics.max(values); }
this.confidenceIntervalDelta = function () {
return metric.scalingFactor() * Statistics.confidenceIntervalDelta(0.95, values.length,
Statistics.sum(values), Statistics.squareSum(values));
}
this.confidenceIntervalDeltaRatio = function () { return this.confidenceIntervalDelta() / this.mean(); }
this.percentDifference = function(other) { return (other.unscaledMean() - this.unscaledMean()) / this.unscaledMean(); }
this.isStatisticallySignificant = function (other) {
var diff = Math.abs(other.mean() - this.mean());
return diff > this.confidenceIntervalDelta() && diff > other.confidenceIntervalDelta();
}
this.run = function () { return associatedRun; }
}
function TestRun(entry) {
this.id = function() { return entry['buildTime']; }
this.revision = function () { return entry['revision']; }
this.label = function () {
if (labelKey in localStorage)
return localStorage[labelKey];
if (entry['label'])
return entry['label'];
return 'r' + this.revision();
}
this.setLabel = function(label) { localStorage[labelKey] = label; }
this.isHidden = function() { return localStorage[hiddenKey]; }
this.hide = function() { localStorage[hiddenKey] = true; }
this.show = function() { localStorage.removeItem(hiddenKey); }
this.description = function() {
var label = this.label();
if (label != 'r' + this.revision())
label = ' ' + label;
else
label = '';
return new Date(entry['buildTime']).toLocaleString() + '\n' + entry['platform'] + ' r' + entry['revision'] + label;
}
var labelKey = 'telemetry_label_' + this.id();
var hiddenKey = 'telemetry_hide_' + this.id();
}
function PerfTestMetric(name, metric, unit, isImportant) {
var testResults = [];
var cachedUnit = null;
var cachedScalingFactor = null;
// We can't do this in TestResult because all results for each test need to share the same unit and the same scaling factor.
function computeScalingFactorIfNeeded() {
// FIXME: We shouldn't be adjusting units on every test result.
// We can only do this on the first test.
if (!testResults.length || cachedUnit)
return;
var mean = testResults[0].unscaledMean(); // FIXME: We should look at all values.
var kilo = unit == 'bytes' ? 1024 : 1000;
if (mean > 10 * kilo * kilo && unit != 'ms') {
cachedScalingFactor = 1 / kilo / kilo;
cachedUnit = 'M ' + unit;
} else if (mean > 10 * kilo) {
cachedScalingFactor = 1 / kilo;
cachedUnit = unit == 'ms' ? 's' : ('K ' + unit);
} else {
cachedScalingFactor = 1;
cachedUnit = unit;
}
}
this.name = function () { return name + ':' + metric; }
this.isImportant = isImportant;
this.isMemoryTest = function () {
return (unit == 'kb' ||
unit == 'KB' ||
unit == 'MB' ||
unit == 'bytes' ||
unit == 'count' ||
!metric.indexOf('V8.'));
}
this.addResult = function (newResult) {
testResults.push(newResult);
cachedUnit = null;
cachedScalingFactor = null;
}
this.results = function () { return testResults; }
this.scalingFactor = function() {
computeScalingFactorIfNeeded();
return cachedScalingFactor;
}
this.unit = function () {
computeScalingFactorIfNeeded();
return cachedUnit;
}
this.biggerIsBetter = function () {
if (window.unitToBiggerIsBetter == undefined) {
window.unitToBiggerIsBetter = {};
var units = JSON.parse(document.getElementById('units-json').textContent);
for (var unit in units) {
if (units[unit].improvement_direction == 'up') {
window.unitToBiggerIsBetter[unit] = true;
}
}
}
return window.unitToBiggerIsBetter[unit];
}
}
function UndeleteManager() {
var key = 'telemetry_undeleteIds'
var undeleteIds = localStorage[key];
if (undeleteIds) {
undeleteIds = JSON.parse(undeleteIds);
} else {
undeleteIds = [];
}
this.ondelete = function(id) {
undeleteIds.push(id);
localStorage[key] = JSON.stringify(undeleteIds);
}
this.undeleteMostRecent = function() {
if (!this.mostRecentlyDeletedId())
return;
undeleteIds.pop();
localStorage[key] = JSON.stringify(undeleteIds);
}
this.mostRecentlyDeletedId = function() {
if (!undeleteIds.length)
return undefined;
return undeleteIds[undeleteIds.length-1];
}
}
var undeleteManager = new UndeleteManager();
var plotColor = 'rgb(230,50,50)';
var subpointsPlotOptions = {
lines: {show:true, lineWidth: 0},
color: plotColor,
points: {show: true, radius: 1},
bars: {show: false}};
var mainPlotOptions = {
xaxis: {
min: -0.5,
tickSize: 1,
},
crosshair: { mode: 'y' },
series: { shadowSize: 0 },
bars: {show: true, align: 'center', barWidth: 0.5},
lines: { show: false },
points: { show: true },
grid: {
borderWidth: 1,
borderColor: '#ccc',
backgroundColor: '#fff',
hoverable: true,
autoHighlight: false,
}
};
var linePlotOptions = {
yaxis: { show: false },
xaxis: { show: false },
lines: { show: true },
grid: { borderWidth: 1, borderColor: '#ccc' },
colors: [ plotColor ]
};
var largeLinePlotOptions = {
xaxis: {
show: true,
tickDecimals: 0,
},
lines: { show: true },
grid: { borderWidth: 1, borderColor: '#ccc' },
colors: [ plotColor ]
};
var histogramPlotOptions = {
bars: {show: true, fill: 1}
};
function createPlot(container, test, useLargeLinePlots) {
if (test.results()[0].histogramValues) {
var section = $('<section><div class="histogram-plots"></div>'
+ '<div class="histogram-plot-labels"></div>'
+ '<span class="tooltip"></span></section>');
$(container).append(section);
attachHistogramPlots(test, section.children('.histogram-plots'));
}
else if (useLargeLinePlots) {
var section = $('<section><div class="large-line-plots"></div>'
+ '<div class="large-line-plot-labels"></div>'
+ '<span class="tooltip"></span></section>');
$(container).append(section);
attachLinePlots(test, section.children('.large-line-plots'), useLargeLinePlots);
attachLinePlotLabels(test, section.children('.large-line-plot-labels'));
} else {
var section = $('<section><div class="plot"></div><div class="line-plots"></div>'
+ '<span class="tooltip"></span></section>');
section.children('.plot').css({'width': (100 * test.results().length + 25) + 'px', 'height': '300px'});
$(container).append(section);
var plotContainer = section.children('.plot');
var minIsZero = true;
attachPlot(test, plotContainer, minIsZero);
attachLinePlots(test, section.children('.line-plots'), useLargeLinePlots);
var tooltip = section.children('.tooltip');
plotContainer.bind('plothover', function (event, position, item) {
if (item) {
var postfix = item.series.id ? ' (' + item.series.id + ')' : '';
tooltip.html(item.datapoint[1].toPrecision(4) + postfix);
var sectionOffset = $(section).offset();
tooltip.css({left: item.pageX - sectionOffset.left - tooltip.outerWidth() / 2, top: item.pageY - sectionOffset.top + 10});
tooltip.fadeIn(200);
} else
tooltip.hide();
});
plotContainer.mouseout(function () {
tooltip.hide();
});
plotContainer.click(function (event) {
event.preventDefault();
minIsZero = !minIsZero;
attachPlot(test, plotContainer, minIsZero);
});
}
return section;
}
function attachLinePlots(test, container, useLargeLinePlots) {
var results = test.results();
var attachedPlot = false;
if (useLargeLinePlots) {
var maximum = 0;
for (var i = 0; i < results.length; i++) {
var values = results[i].values();
if (!values)
continue;
var local_max = Math.max.apply(Math, values);
if (local_max > maximum)
maximum = local_max;
}
}
for (var i = 0; i < results.length; i++) {
container.append('<div></div>');
var values = results[i].values();
if (!values)
continue;
attachedPlot = true;
if (useLargeLinePlots) {
var options = $.extend(true, {}, largeLinePlotOptions,
{yaxis: {min: 0.0, max: maximum},
xaxis: {min: 0.0, max: values.length - 1},
points: {show: (values.length < 2) ? true : false}});
} else {
var options = $.extend(true, {}, linePlotOptions,
{yaxis: {min: Math.min.apply(Math, values) * 0.9, max: Math.max.apply(Math, values) * 1.1},
xaxis: {min: -0.5, max: values.length - 0.5},
points: {show: (values.length < 2) ? true : false}});
}
$.plot(container.children().last(), [values.map(function (value, index) { return [index, value]; })], options);
}
if (!attachedPlot)
container.children().remove();
}
function attachHistogramPlots(test, container) {
var results = test.results();
var attachedPlot = false;
for (var i = 0; i < results.length; i++) {
container.append('<div></div>');
var histogram = results[i].histogramValues
if (!histogram)
continue;
attachedPlot = true;
var buckets = histogram.buckets
var bucket;
var max_count = 0;
for (var j = 0; j < buckets.length; j++) {
bucket = buckets[j];
max_count = Math.max(max_count, bucket.count);
}
var xmax = bucket.high * 1.1;
var ymax = max_count * 1.1;
var options = $.extend(true, {}, histogramPlotOptions,
{yaxis: {min: 0.0, max: ymax},
xaxis: {min: histogram.params.min, max: xmax}});
var plot = $.plot(container.children().last(), [[]], options);
// Flot only supports fixed with bars and our histogram's buckets are
// variable width, so we need to do our own bar drawing.
var ctx = plot.getCanvas().getContext("2d");
ctx.lineWidth="1";
ctx.fillStyle = "rgba(255, 0, 0, 0.2)";
ctx.strokeStyle="red";
for (var j = 0; j < buckets.length; j++) {
bucket = buckets[j];
var bl = plot.pointOffset({ x: bucket.low, y: 0});
var tr = plot.pointOffset({ x: bucket.high, y: bucket.count});
ctx.fillRect(bl.left, bl.top, tr.left - bl.left, tr.top - bl.top);
ctx.strokeRect(bl.left, bl.top, tr.left - bl.left, tr.top - bl.top);
}
}
if (!attachedPlot)
container.children().remove();
}
function attachLinePlotLabels(test, container) {
var results = test.results();
var attachedPlot = false;
for (var i = 0; i < results.length; i++) {
container.append('<div>' + results[i].run().label() + '</div>');
}
}
function attachPlot(test, plotContainer, minIsZero) {
var results = test.results();
var values = results.reduce(function (values, result, index) {
var newValues = result.values();
return newValues ? values.concat(newValues.map(function (value) { return [index, value]; })) : values;
}, []);
var plotData = [$.extend(true, {}, subpointsPlotOptions, {data: values})];
plotData.push({id: '&mu;', data: results.map(function (result, index) { return [index, result.mean()]; }), color: plotColor});
var overallMax = Statistics.max(results.map(function (result, index) { return result.max(); }));
var overallMin = Statistics.min(results.map(function (result, index) { return result.min(); }));
var margin = (overallMax - overallMin) * 0.1;
var currentPlotOptions = $.extend(true, {}, mainPlotOptions, {yaxis: {
min: minIsZero ? 0 : overallMin - margin,
max: minIsZero ? overallMax * 1.1 : overallMax + margin}});
currentPlotOptions.xaxis.max = results.length - 0.5;
currentPlotOptions.xaxis.ticks = results.map(function (result, index) { return [index, result.run().label()]; });
$.plot(plotContainer, plotData, currentPlotOptions);
}
function toFixedWidthPrecision(value) {
var decimal = value.toFixed(2);
return decimal;
}
function formatPercentage(fraction) {
var percentage = fraction * 100;
return (fraction * 100).toFixed(2) + '%';
}
function createTable(tests, runs, shouldIgnoreMemory, referenceIndex, useLargeLinePlots) {
$('#container').html('<thead><tr><th class="headerSortDown">Test</th><th>Unit</th>' + runs.map(function (run, index) {
return '<th colspan="' + (index == referenceIndex ? 2 : 3) + '" class="{sorter: \'comparison\'}" id="' + run.id() + '" title="' + run.description() + '"><span class="label" title="Edit run label">' + run.label() + '</span><div class="closeButton" title="Delete run">x</div></th>';
}).reduce(function (markup, cell) { return markup + cell; }, '') + '</tr></head><tbody></tbody>');
var testNames = [];
for (testName in tests)
testNames.push(testName);
window.isFirstImportantRow = true;
testNames.sort().map(function (testName) {
var test = tests[testName];
if (test.isMemoryTest() != shouldIgnoreMemory)
createTableRow(runs, test, referenceIndex, useLargeLinePlots);
});
$('.closeButton').click(function(event) {
for (var i = 0; i < runs.length; i++) {
if (runs[i].id() == event.target.parentNode.id) {
runs[i].hide();
undeleteManager.ondelete(runs[i].id());
location.reload();
break;
}
}
event.stopPropagation();
});
$('.label').click(function(event) {
for (var i = 0; i < runs.length; i++) {
if (runs[i].id() == event.target.parentNode.id) {
$(event.target).replaceWith('<input id="labelEditor" type="text" value="' + runs[i].label() + '">');
$('#labelEditor').focusout(function() {
runs[i].setLabel(this.value);
location.reload();
});
$('#labelEditor').keypress(function(event) {
if (event.which == 13) {
runs[i].setLabel(this.value);
location.reload();
}
});
$('#labelEditor').click(function (event) {
event.stopPropagation();
});
$('#labelEditor').mousedown(function (event) {
event.stopPropagation();
});
$('#labelEditor').select();
break;
}
}
event.stopPropagation();
});
$('#container').tablesorter({widgets: ['zebra']});
}
function linearRegression(points) {
// Implement http://www.easycalculation.com/statistics/learn-correlation.php.
// x = magnitude
// y = iterations
var sumX = 0;
var sumY = 0;
var sumXSquared = 0;
var sumYSquared = 0;
var sumXTimesY = 0;
for (var i = 0; i < points.length; i++) {
var x = i;
var y = points[i];
sumX += x;
sumY += y;
sumXSquared += x * x;
sumYSquared += y * y;
sumXTimesY += x * y;
}
var r = (points.length * sumXTimesY - sumX * sumY) /
Math.sqrt((points.length * sumXSquared - sumX * sumX) *
(points.length * sumYSquared - sumY * sumY));
if (isNaN(r) || r == Math.Infinity)
r = 0;
var slope = (points.length * sumXTimesY - sumX * sumY) / (points.length * sumXSquared - sumX * sumX);
var intercept = sumY / points.length - slope * sumX / points.length;
return {slope: slope, intercept: intercept, rSquared: r * r};
}
var warningSign = '<svg viewBox="0 0 100 100" style="width: 18px; height: 18px; vertical-align: bottom;" version="1.1">'
+ '<polygon fill="red" points="50,10 90,80 10,80 50,10" stroke="red" stroke-width="10" stroke-linejoin="round" />'
+ '<polygon fill="white" points="47,30 48,29, 50, 28.7, 52,29 53,30 50,60" stroke="white" stroke-width="10" stroke-linejoin="round" />'
+ '<circle cx="50" cy="73" r="6" fill="white" />'
+ '</svg>';
function createTableRow(runs, test, referenceIndex, useLargeLinePlots) {
var tableRow = $('<tr><td class="test collapsed"' + (test.isImportant ? ' style="font-weight:bold"' : '') + '>' + test.name() + '</td><td class="unit">' + test.unit() + '</td></tr>');
function markupForRun(result, referenceResult) {
var comparisonCell = '';
var hiddenValue = '';
var shouldCompare = result !== referenceResult;
if (shouldCompare && referenceResult) {
var percentDifference = referenceResult.percentDifference(result);
var better = test.biggerIsBetter() ? percentDifference > 0 : percentDifference < 0;
var comparison = '';
var className = 'comparison';
if (referenceResult.isStatisticallySignificant(result)) {
comparison = formatPercentage(Math.abs(percentDifference)) + (better ? ' Better' : ' Worse&nbsp;');
className += better ? ' better' : ' worse';
}
hiddenValue = '<span style="display: none">|' + comparison + '</span>';
comparisonCell = '<td class="' + className + '">' + comparison + '</td>';
} else if (shouldCompare)
comparisonCell = '<td class="comparison"></td>';
var values = result.values();
var warning = '';
var regressionAnalysis = '';
if (result.histogramValues) {
// Don't calculate regression result for histograms.
}
else if (values && values.length > 3) {
regressionResult = linearRegression(values);
regressionAnalysis = 'slope=' + toFixedWidthPrecision(regressionResult.slope)
+ ', R^2=' + toFixedWidthPrecision(regressionResult.rSquared);
if (regressionResult.rSquared > 0.6 && Math.abs(regressionResult.slope) > 0.01) {
warning = ' <span class="regression-warning" title="Detected a time dependency with ' + regressionAnalysis + '">' + warningSign + ' </span>';
}
}
var statistics = '&sigma;=' + toFixedWidthPrecision(result.confidenceIntervalDelta()) + ', min=' + toFixedWidthPrecision(result.min())
+ ', max=' + toFixedWidthPrecision(result.max()) + '\n' + regressionAnalysis;
// Tablesorter doesn't know about the second cell so put the comparison in the invisible element.
return '<td class="result" title="' + statistics + '">' + toFixedWidthPrecision(result.mean()) + hiddenValue
+ '</td><td class="confidenceIntervalDelta" title="' + statistics + '">&plusmn; '
+ formatPercentage(result.confidenceIntervalDeltaRatio()) + warning + '</td>' + comparisonCell;
}
function markupForMissingRun(isReference) {
return '<td colspan="' + (isReference ? 2 : 3) + '" class="missing">Missing</td>';
}
var runIndex = 0;
var results = test.results();
var referenceResult = undefined;
var resultIndexMap = {};
for (var i = 0; i < results.length; i++) {
while (runs[runIndex] !== results[i].run())
runIndex++;
if (runIndex == referenceIndex)
referenceResult = results[i];
resultIndexMap[runIndex] = i;
}
for (var i = 0; i < runs.length; i++) {
var resultIndex = resultIndexMap[i];
if (resultIndex == undefined)
tableRow.append(markupForMissingRun(i == referenceIndex));
else
tableRow.append(markupForRun(results[resultIndex], referenceResult));
}
$('#container').children('tbody').last().append(tableRow);
function toggle() {
var firstCell = tableRow.children('td').first();
if (firstCell.children('section').length) {
firstCell.children('section').remove();
tableRow.children('td').css({'padding-bottom': ''});
tableRow.children('td').first().addClass('collapsed');
tableRow.children('td').first().removeClass('expanded');
} else {
var plot = createPlot(firstCell, test, useLargeLinePlots);
plot.css({'position': 'absolute', 'z-index': 2});
var offset = tableRow.offset();
offset.left += 1;
offset.top += tableRow.outerHeight();
plot.offset(offset);
tableRow.children('td').css({'padding-bottom': plot.outerHeight() + 5});
tableRow.children('td').first().removeClass('collapsed');
tableRow.children('td').first().addClass('expanded');
}
return false;
};
tableRow.click(function(event) {
if (event.target != tableRow[0] && event.target.parentNode != tableRow[0])
return;
event.preventDefault();
toggle();
});
if (test.isImportant && window.isFirstImportantRow) {
window.isFirstImportantRow = false;
toggle();
}
}
function init() {
$.tablesorter.addParser({
id: 'comparison',
is: function(s) {
return s.indexOf('|') >= 0;
},
format: function(s) {
var parsed = parseFloat(s.substring(s.indexOf('|') + 1));
return isNaN(parsed) ? 0 : parsed;
},
type: 'numeric',
});
var runs = [];
var metrics = {};
var deletedRunsById = {};
$.each(JSON.parse(document.getElementById('results-json').textContent), function (index, entry) {
var run = new TestRun(entry);
if (run.isHidden()) {
deletedRunsById[run.id()] = run;
return;
}
runs.push(run);
function addTests(tests) {
for (var testName in tests) {
var rawMetrics = tests[testName].metrics;
for (var metricName in rawMetrics) {
var fullMetricName = testName + ':' + metricName;
var metric = metrics[fullMetricName];
if (!metric) {
metric = new PerfTestMetric(testName, metricName, rawMetrics[metricName].units, rawMetrics[metricName].important);
metrics[fullMetricName] = metric;
}
metric.addResult(new TestResult(metric, rawMetrics[metricName].current, run));
}
}
}
addTests(entry.tests);
});
var useLargeLinePlots = false;
var shouldIgnoreMemory= true;
var referenceIndex = 0;
createTable(metrics, runs, shouldIgnoreMemory, referenceIndex, useLargeLinePlots);
$('#time-memory').bind('change', function (event, checkedElement) {
shouldIgnoreMemory = checkedElement.textContent == 'Time';
createTable(metrics, runs, shouldIgnoreMemory, referenceIndex, useLargeLinePlots);
});
$('#scatter-line').bind('change', function (event, checkedElement) {
useLargeLinePlots = checkedElement.textContent == 'Line';
createTable(metrics, runs, shouldIgnoreMemory, referenceIndex, useLargeLinePlots);
});
runs.map(function (run, index) {
$('#reference').append('<span value="' + index + '"' + (index == referenceIndex ? ' class="checked"' : '') + ' title="' + run.description() + '">' + run.label() + '</span>');
})
$('#reference').bind('change', function (event, checkedElement) {
referenceIndex = parseInt(checkedElement.getAttribute('value'));
createTable(metrics, runs, shouldIgnoreMemory, referenceIndex, useLargeLinePlots);
});
$('.checkbox').each(function (index, checkbox) {
$(checkbox).children('span').click(function (event) {
if ($(this).hasClass('checked'))
return;
$(checkbox).children('span').removeClass('checked');
$(this).addClass('checked');
$(checkbox).trigger('change', $(this));
});
});
if (undeleteManager.mostRecentlyDeletedId()) {
$('#undelete').html('Undelete ' + deletedRunsById[undeleteManager.mostRecentlyDeletedId()].label());
$('#undelete').attr('title', deletedRunsById[undeleteManager.mostRecentlyDeletedId()].description());
$('#undelete').click(function (event) {
deletedRunsById[undeleteManager.mostRecentlyDeletedId()].show();
undeleteManager.undeleteMostRecent();
location.reload();
});
} else {
$('#undelete').hide();
}
}
</script>
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<script id="units-json" type="application/json">{
"_description" : "This file contains info about our performance test units, used by the perf dashboard (http://chromeperf.appspot.com).",
"%": {
"improvement_direction": "down",
"why": "Percent CPU usage. Used by cpu metric."
},
"bytes": {
"improvement_direction": "down"
},
"commit_count": {
"improvement_direction": "up",
"why": "layer_tree_host_perftest"
},
"count": {
"improvement_direction": "down",
"why": "Processes"
},
"files": {
"improvement_direction": "down",
"why": "Static initializers"
},
"fps": {
"improvement_direction": "up",
"why": "The faster the better. Used by scirra benchmark."
},
"frames": {
"improvement_direction": "down",
"why": "Dropped frames."
},
"frames-per-second": {
"improvement_direction": "up",
"why": "Synonym for fps."
},
"frame_count": {
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"why": "layer_tree_host_perftest"
},
"frame_time": {
"improvement_direction": "down"
},
"kb": {
"improvement_direction": "down",
"why": "Synonym for KB, used in memory and io metrics."
},
"KB": {
"improvement_direction": "down",
"why": "KB of memory usage. Less memory usage is better. Used in endure."
},
"lines": {
"improvement_direction": "up",
"why": "Coverage. More test coverage is better."
},
"load": {
"improvement_direction": "down"
},
"MB": {
"improvement_direction": "down"
},
"ms": {
"improvement_direction": "down",
"why": "Used in many Telemetry measurements. Fewer ms of time means faster."
},
"milliseconds": {
"improvement_direction": "down",
"why": "Synonym for ms."
},
"milliseconds-per-frame": {
"improvement_direction": "down"
},
"minutes": {
"improvement_direction": "down",
"why": "Used for NaCl build time."
},
"mWh": {
"improvement_direction": "down",
"why": "Fewer milliwatt-hours means less energy consumed."
},
"objects (bigger is better)": {
"improvement_direction": "up",
"why": "Used in spaceport benchmark."
},
"ObjectsAt30FPS": {
"improvement_direction": "up"
},
"percent": {
"improvement_direction": "down",
"why": "Synonym for %, used in memory metric for percent fragmentation."
},
"coverage%": {
"improvement_direction": "up",
"why": "Used in alloy-perf-test/cts%/passed."
},
"points": {
"improvement_direction": "up",
"why": "Synonym for score, used in ChromeOS touchpad tests."
},
"ports": {
"improvement_direction": "down"
},
"relocs": {
"improvement_direction": "down"
},
"runs/ms": {
"improvement_direction": "up",
"why": "Higher runs/ms implies faster execution."
},
"runs/s": {
"improvement_direction": "up",
"why": "Used in dromaeo. Higher runs/s implies faster execution."
},
"runs_per_s": {
"improvement_direction": "up",
"why": "Synonym for runs/s, used in dromaeo data sent by cros bots."
},
"runs_per_second": {
"improvement_direction": "up",
"why": "Synonym for runs/s."
},
"score": {
"improvement_direction": "up",
"why": "Used in a variety of benchmarks where a higher score is better."
},
"score_(bigger_is_better)": {
"improvement_direction": "up",
"why": "Synonym for score."
},
"score (bigger is better)": {
"improvement_direction": "up",
"why": "Synonym for score, used in jsgamebench and dom_perf."
},
"sec": {
"improvement_direction": "down"
},
"seconds": {
"improvement_direction": "down"
},
"us": {
"improvement_direction": "down"
}
}
</script>
</body>
</html>
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