599 lines
20 KiB
HTML
599 lines
20 KiB
HTML
<!DOCTYPE html>
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<html>
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<head>
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<title>Telemetry Performance Test Results</title>
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<style type="text/css">
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section {
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background: white;
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padding: 10px;
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position: relative;
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}
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.time-plots {
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padding-left: 25px;
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}
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.time-plots > div {
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display: inline-block;
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width: 90px;
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height: 40px;
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margin-right: 10px;
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}
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section h1 {
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text-align: center;
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font-size: 1em;
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}
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section .tooltip {
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position: absolute;
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text-align: center;
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background: #ffcc66;
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border-radius: 5px;
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padding: 0px 5px;
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}
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body {
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padding: 0px;
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margin: 0px;
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font-family: sans-serif;
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}
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table {
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background: white;
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width: 100%;
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}
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table, td, th {
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border-collapse: collapse;
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padding: 5px;
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white-space: nowrap;
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}
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tr.even {
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background: #f6f6f6;
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}
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table td {
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position: relative;
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font-family: monospace;
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}
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th, td {
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cursor: pointer;
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cursor: hand;
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}
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th {
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background: #e6eeee;
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background: -webkit-gradient(linear, left top, left bottom, from(rgb(244, 244, 244)), to(rgb(217, 217, 217)));
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border: 1px solid #ccc;
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}
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th:after {
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content: ' \25B8';
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}
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th.headerSortUp:after {
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content: ' \25BE';
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}
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th.headerSortDown:after {
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content: ' \25B4';
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}
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td.comparison, td.result {
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text-align: right;
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}
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td.better {
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color: #6c6;
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}
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td.worse {
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color: #c66;
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}
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td.missing {
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text-align: center;
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}
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.checkbox {
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display: inline-block;
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background: #eee;
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background: -webkit-gradient(linear, left bottom, left top, from(rgb(220, 220, 220)), to(rgb(200, 200, 200)));
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border: inset 1px #ddd;
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border-radius: 5px;
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margin: 10px;
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font-size: small;
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cursor: pointer;
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cursor: hand;
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-webkit-user-select: none;
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font-weight: bold;
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}
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.checkbox span {
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display: inline-block;
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line-height: 100%;
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padding: 5px 8px;
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border: outset 1px transparent;
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}
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.checkbox .checked {
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background: #e6eeee;
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background: -webkit-gradient(linear, left top, left bottom, from(rgb(255, 255, 255)), to(rgb(235, 235, 235)));
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border: outset 1px #eee;
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border-radius: 5px;
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}
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</style>
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</head>
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<body onload="init()">
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<div style="padding: 0 10px; white-space: nowrap;">
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Result <span id="time-memory" class="checkbox"><span class="checked">Time</span><span>Memory</span></span>
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Reference <span id="reference" class="checkbox"></span>
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Run Telemetry with --reset-html-results to clear all runs
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</div>
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<table id="container"></table>
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<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.6.4/jquery.min.js"></script>
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<script>
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%plugins%
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</script>
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<script>
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function TestResult(metric, values, associatedRun) {
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if (values[0] instanceof Array) {
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var flattenedValues = [];
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for (var i = 0; i < values.length; i++)
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flattenedValues = flattenedValues.concat(values[i]);
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values = flattenedValues;
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}
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this.test = function () { return metric; }
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this.values = function () { return values.map(function (value) { return metric.scalingFactor() * value; }); }
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this.unscaledMean = function () { return Statistics.sum(values) / values.length; }
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this.mean = function () { return metric.scalingFactor() * this.unscaledMean(); }
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this.min = function () { return metric.scalingFactor() * Statistics.min(values); }
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this.max = function () { return metric.scalingFactor() * Statistics.max(values); }
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this.confidenceIntervalDelta = function () {
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return metric.scalingFactor() * Statistics.confidenceIntervalDelta(0.95, values.length,
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Statistics.sum(values), Statistics.squareSum(values));
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}
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this.confidenceIntervalDeltaRatio = function () { return this.confidenceIntervalDelta() / this.mean(); }
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this.percentDifference = function(other) { return (other.unscaledMean() - this.unscaledMean()) / this.unscaledMean(); }
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this.isStatisticallySignificant = function (other) {
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var diff = Math.abs(other.mean() - this.mean());
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return diff > this.confidenceIntervalDelta() && diff > other.confidenceIntervalDelta();
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}
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this.run = function () { return associatedRun; }
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}
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function TestRun(entry) {
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this.description = function () { return entry['description']; }
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this.revision = function () { return entry['revision']; }
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this.label = function () {
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var label = 'r' + this.revision();
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if (this.description())
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label += ' ‐ ' + this.description();
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return label;
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}
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}
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function PerfTestMetric(name, metric, unit, isImportant) {
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var testResults = [];
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var cachedUnit = null;
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var cachedScalingFactor = null;
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// We can't do this in TestResult because all results for each test need to share the same unit and the same scaling factor.
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function computeScalingFactorIfNeeded() {
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// FIXME: We shouldn't be adjusting units on every test result.
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// We can only do this on the first test.
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if (!testResults.length || cachedUnit)
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return;
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var mean = testResults[0].unscaledMean(); // FIXME: We should look at all values.
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var kilo = unit == 'bytes' ? 1024 : 1000;
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if (mean > 10 * kilo * kilo && unit != 'ms') {
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cachedScalingFactor = 1 / kilo / kilo;
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cachedUnit = 'M ' + unit;
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} else if (mean > 10 * kilo) {
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cachedScalingFactor = 1 / kilo;
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cachedUnit = unit == 'ms' ? 's' : ('K ' + unit);
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} else {
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cachedScalingFactor = 1;
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cachedUnit = unit;
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}
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}
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this.name = function () { return name + ':' + metric; }
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this.isImportant = isImportant;
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this.isMemoryTest = function () {
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return (unit == 'kb' ||
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unit == 'KB' ||
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unit == 'MB' ||
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unit == 'bytes' ||
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unit == 'count' ||
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!metric.indexOf('V8.'));
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}
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this.addResult = function (newResult) {
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testResults.push(newResult);
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cachedUnit = null;
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cachedScalingFactor = null;
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}
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this.results = function () { return testResults; }
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this.scalingFactor = function() {
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computeScalingFactorIfNeeded();
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return cachedScalingFactor;
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}
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this.unit = function () {
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computeScalingFactorIfNeeded();
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return cachedUnit;
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}
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this.biggerIsBetter = function () {
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if (window.unitToBiggerIsBetter == undefined) {
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window.unitToBiggerIsBetter = {};
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var units = JSON.parse(document.getElementById('units-json').textContent);
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for (var unit in units) {
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if (units[unit].improvement_direction == 'up') {
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window.unitToBiggerIsBetter[unit] = true;
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}
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}
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}
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return window.unitToBiggerIsBetter[unit];
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}
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}
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var plotColor = 'rgb(230,50,50)';
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var subpointsPlotOptions = {
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lines: {show:true, lineWidth: 0},
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color: plotColor,
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points: {show: true, radius: 1},
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bars: {show: false}};
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var mainPlotOptions = {
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xaxis: {
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min: -0.5,
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tickSize: 1,
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},
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crosshair: { mode: 'y' },
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series: { shadowSize: 0 },
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bars: {show: true, align: 'center', barWidth: 0.5},
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lines: { show: false },
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points: { show: true },
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grid: {
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borderWidth: 1,
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borderColor: '#ccc',
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backgroundColor: '#fff',
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hoverable: true,
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autoHighlight: false,
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}
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};
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var timePlotOptions = {
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yaxis: { show: false },
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xaxis: { show: false },
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lines: { show: true },
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grid: { borderWidth: 1, borderColor: '#ccc' },
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colors: [ plotColor ]
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};
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function createPlot(container, test) {
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var section = $('<section><div class="plot"></div><div class="time-plots"></div>'
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+ '<span class="tooltip"></span></section>');
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section.children('.plot').css({'width': (100 * test.results().length + 25) + 'px', 'height': '300px'});
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$(container).append(section);
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var plotContainer = section.children('.plot');
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var minIsZero = true;
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attachPlot(test, plotContainer, minIsZero);
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attachTimePlots(test, section.children('.time-plots'));
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var tooltip = section.children('.tooltip');
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plotContainer.bind('plothover', function (event, position, item) {
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if (item) {
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var postfix = item.series.id ? ' (' + item.series.id + ')' : '';
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tooltip.html(item.datapoint[1].toPrecision(4) + postfix);
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var sectionOffset = $(section).offset();
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tooltip.css({left: item.pageX - sectionOffset.left - tooltip.outerWidth() / 2, top: item.pageY - sectionOffset.top + 10});
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tooltip.fadeIn(200);
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} else
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tooltip.hide();
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});
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plotContainer.mouseout(function () {
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tooltip.hide();
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});
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plotContainer.click(function (event) {
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event.preventDefault();
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minIsZero = !minIsZero;
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attachPlot(test, plotContainer, minIsZero);
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});
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return section;
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}
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function attachTimePlots(test, container) {
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var results = test.results();
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var attachedPlot = false;
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for (var i = 0; i < results.length; i++) {
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container.append('<div></div>');
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var values = results[i].values();
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if (!values)
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continue;
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attachedPlot = true;
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$.plot(container.children().last(), [values.map(function (value, index) { return [index, value]; })],
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$.extend(true, {}, timePlotOptions, {yaxis: {min: Math.min.apply(Math, values) * 0.9, max: Math.max.apply(Math, values) * 1.1},
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xaxis: {min: -0.5, max: values.length - 0.5}}));
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}
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if (!attachedPlot)
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container.children().remove();
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}
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function attachPlot(test, plotContainer, minIsZero) {
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var results = test.results();
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var values = results.reduce(function (values, result, index) {
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var newValues = result.values();
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return newValues ? values.concat(newValues.map(function (value) { return [index, value]; })) : values;
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}, []);
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var plotData = [$.extend(true, {}, subpointsPlotOptions, {data: values})];
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plotData.push({id: 'μ', data: results.map(function (result, index) { return [index, result.mean()]; }), color: plotColor});
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var overallMax = Statistics.max(results.map(function (result, index) { return result.max(); }));
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var overallMin = Statistics.min(results.map(function (result, index) { return result.min(); }));
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var margin = (overallMax - overallMin) * 0.1;
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var currentPlotOptions = $.extend(true, {}, mainPlotOptions, {yaxis: {
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min: minIsZero ? 0 : overallMin - margin,
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max: minIsZero ? overallMax * 1.1 : overallMax + margin}});
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currentPlotOptions.xaxis.max = results.length - 0.5;
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currentPlotOptions.xaxis.ticks = results.map(function (result, index) { return [index, result.run().label()]; });
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$.plot(plotContainer, plotData, currentPlotOptions);
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}
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function toFixedWidthPrecision(value) {
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var decimal = value.toFixed(2);
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return decimal;
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}
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function formatPercentage(fraction) {
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var percentage = fraction * 100;
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return (fraction * 100).toFixed(2) + '%';
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}
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function createTable(tests, runs, shouldIgnoreMemory, referenceIndex) {
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$('#container').html('<thead><tr><th>Test</th><th>Unit</th>' + runs.map(function (run, index) {
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return '<th colspan="' + (index == referenceIndex ? 2 : 3) + '" class="{sorter: \'comparison\'}">' + run.label() + '</th>';
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}).reduce(function (markup, cell) { return markup + cell; }, '') + '</tr></head><tbody></tbody>');
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var testNames = [];
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for (testName in tests)
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testNames.push(testName);
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testNames.sort().map(function (testName) {
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var test = tests[testName];
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if (test.isMemoryTest() != shouldIgnoreMemory)
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createTableRow(runs, test, referenceIndex);
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});
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$('#container').tablesorter({widgets: ['zebra']});
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}
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function linearRegression(points) {
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// Implement http://www.easycalculation.com/statistics/learn-correlation.php.
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// x = magnitude
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// y = iterations
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var sumX = 0;
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var sumY = 0;
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var sumXSquared = 0;
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var sumYSquared = 0;
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var sumXTimesY = 0;
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for (var i = 0; i < points.length; i++) {
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var x = i;
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var y = points[i];
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sumX += x;
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sumY += y;
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sumXSquared += x * x;
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sumYSquared += y * y;
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sumXTimesY += x * y;
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}
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var r = (points.length * sumXTimesY - sumX * sumY) /
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Math.sqrt((points.length * sumXSquared - sumX * sumX) *
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(points.length * sumYSquared - sumY * sumY));
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if (isNaN(r) || r == Math.Infinity)
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r = 0;
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var slope = (points.length * sumXTimesY - sumX * sumY) / (points.length * sumXSquared - sumX * sumX);
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var intercept = sumY / points.length - slope * sumX / points.length;
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return {slope: slope, intercept: intercept, rSquared: r * r};
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}
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var warningSign = '<svg viewBox="0 0 100 100" style="width: 18px; height: 18px; vertical-align: bottom;" version="1.1">'
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+ '<polygon fill="red" points="50,10 90,80 10,80 50,10" stroke="red" stroke-width="10" stroke-linejoin="round" />'
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+ '<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" />'
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+ '<circle cx="50" cy="73" r="6" fill="white" />'
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+ '</svg>';
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function createTableRow(runs, test, referenceIndex) {
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var tableRow = $('<tr><td class="test"' + (test.isImportant ? ' style="font-weight:bold"' : '') + '>' + test.name() + '</td><td class="unit">' + test.unit() + '</td></tr>');
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function markupForRun(result, referenceResult) {
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var comparisonCell = '';
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var hiddenValue = '';
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var shouldCompare = result !== referenceResult;
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if (shouldCompare && referenceResult) {
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var percentDifference = referenceResult.percentDifference(result);
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var better = test.biggerIsBetter() ? percentDifference > 0 : percentDifference < 0;
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var comparison = '';
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var className = 'comparison';
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if (referenceResult.isStatisticallySignificant(result)) {
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comparison = formatPercentage(Math.abs(percentDifference)) + (better ? ' Better' : ' Worse ');
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className += better ? ' better' : ' worse';
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}
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hiddenValue = '<span style="display: none">|' + comparison + '</span>';
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comparisonCell = '<td class="' + className + '">' + comparison + '</td>';
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} else if (shouldCompare)
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comparisonCell = '<td class="comparison"></td>';
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var values = result.values();
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var warning = '';
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var regressionAnalysis = '';
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if (values && values.length > 3) {
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regressionResult = linearRegression(values);
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regressionAnalysis = 'slope=' + toFixedWidthPrecision(regressionResult.slope)
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+ ', R^2=' + toFixedWidthPrecision(regressionResult.rSquared);
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if (regressionResult.rSquared > 0.6 && Math.abs(regressionResult.slope) > 0.01) {
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warning = ' <span class="regression-warning" title="Detected a time dependency with ' + regressionAnalysis + '">' + warningSign + ' </span>';
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}
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}
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var statistics = 'σ=' + toFixedWidthPrecision(result.confidenceIntervalDelta()) + ', min=' + toFixedWidthPrecision(result.min())
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+ ', max=' + toFixedWidthPrecision(result.max()) + '\n' + regressionAnalysis;
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// Tablesorter doesn't know about the second cell so put the comparison in the invisible element.
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return '<td class="result" title="' + statistics + '">' + toFixedWidthPrecision(result.mean()) + hiddenValue
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+ '</td><td class="confidenceIntervalDelta" title="' + statistics + '">± '
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+ formatPercentage(result.confidenceIntervalDeltaRatio()) + warning + '</td>' + comparisonCell;
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}
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function markupForMissingRun(isReference) {
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return '<td colspan="' + (isReference ? 2 : 3) + '" class="missing">Missing</td>';
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}
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var runIndex = 0;
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var results = test.results();
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var referenceResult = undefined;
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var resultIndexMap = {};
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for (var i = 0; i < results.length; i++) {
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while (runs[runIndex] !== results[i].run())
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runIndex++;
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if (runIndex == referenceIndex)
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referenceResult = results[i];
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resultIndexMap[runIndex] = i;
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}
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for (var i = 0; i < runs.length; i++) {
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var resultIndex = resultIndexMap[i];
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if (resultIndex == undefined)
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tableRow.append(markupForMissingRun(i == referenceIndex));
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else
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tableRow.append(markupForRun(results[resultIndex], referenceResult));
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}
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$('#container').children('tbody').last().append(tableRow);
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function toggle() {
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var firstCell = tableRow.children('td').first();
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if (firstCell.children('section').length) {
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firstCell.children('section').remove();
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tableRow.children('td').css({'padding-bottom': ''});
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} else {
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var plot = createPlot(firstCell, test);
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plot.css({'position': 'absolute', 'z-index': 2});
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var offset = tableRow.offset();
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offset.left += 1;
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offset.top += tableRow.outerHeight();
|
|
plot.offset(offset);
|
|
tableRow.children('td').css({'padding-bottom': plot.outerHeight() + 5});
|
|
}
|
|
|
|
return false;
|
|
};
|
|
|
|
tableRow.click(function(event) {
|
|
if (event.target != tableRow[0] && event.target.parentNode != tableRow[0])
|
|
return;
|
|
|
|
event.preventDefault();
|
|
|
|
toggle();
|
|
});
|
|
|
|
if (test.isImportant) {
|
|
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 = {};
|
|
$.each(JSON.parse(document.getElementById('results-json').textContent), function (index, entry) {
|
|
var run = new TestRun(entry);
|
|
runs.push(run);
|
|
|
|
function addTests(tests, parentFullName) {
|
|
for (var testName in tests) {
|
|
var fullTestName = parentFullName + '/' + testName;
|
|
var rawMetrics = tests[testName].metrics;
|
|
|
|
for (var metricName in rawMetrics) {
|
|
var fullMetricName = fullTestName + ':' + metricName;
|
|
var metric = metrics[fullMetricName];
|
|
if (!metric) {
|
|
metric = new PerfTestMetric(fullTestName, metricName, rawMetrics[metricName].units, rawMetrics[metricName].important);
|
|
metrics[fullMetricName] = metric;
|
|
}
|
|
metric.addResult(new TestResult(metric, rawMetrics[metricName].current, run));
|
|
}
|
|
|
|
if (tests[testName].tests)
|
|
addTests(tests[testName].tests, fullTestName);
|
|
}
|
|
}
|
|
|
|
addTests(entry.tests, '');
|
|
});
|
|
|
|
var shouldIgnoreMemory= true;
|
|
var referenceIndex = 0;
|
|
|
|
createTable(metrics, runs, shouldIgnoreMemory, referenceIndex);
|
|
|
|
$('#time-memory').bind('change', function (event, checkedElement) {
|
|
shouldIgnoreMemory = checkedElement.textContent == 'Time';
|
|
createTable(metrics, runs, shouldIgnoreMemory, referenceIndex);
|
|
});
|
|
|
|
runs.map(function (run, index) {
|
|
$('#reference').append('<span value="' + index + '"' + (index == referenceIndex ? ' class="checked"' : '') + '>' + run.label() + '</span>');
|
|
})
|
|
|
|
$('#reference').bind('change', function (event, checkedElement) {
|
|
referenceIndex = parseInt(checkedElement.getAttribute('value'));
|
|
createTable(metrics, runs, shouldIgnoreMemory, referenceIndex);
|
|
});
|
|
|
|
$('.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));
|
|
});
|
|
});
|
|
}
|
|
|
|
</script>
|
|
<script id="results-json" type="application/json">%json_results%</script>
|
|
<script id="units-json" type="application/json">%json_units%</script>
|
|
</body>
|
|
</html>
|