| Index: tools/telemetry/support/html_output/results-template.html
|
| diff --git a/tools/telemetry/support/html_output/results-template.html b/tools/telemetry/support/html_output/results-template.html
|
| new file mode 100644
|
| index 0000000000000000000000000000000000000000..b0b84c7f7f134c9313c512c72533c5a8370bd94f
|
| --- /dev/null
|
| +++ b/tools/telemetry/support/html_output/results-template.html
|
| @@ -0,0 +1,596 @@
|
| +<!DOCTYPE html>
|
| +<html>
|
| +<head>
|
| +<title>Telemetry Performance Test Results</title>
|
| +<style type="text/css">
|
| +
|
| +section {
|
| + background: white;
|
| + padding: 10px;
|
| + position: relative;
|
| +}
|
| +
|
| +.time-plots {
|
| + padding-left: 25px;
|
| +}
|
| +
|
| +.time-plots > div {
|
| + display: inline-block;
|
| + width: 90px;
|
| + height: 40px;
|
| + margin-right: 10px;
|
| +}
|
| +
|
| +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 {
|
| + 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>
|
| +Run Telemetry with --reset-html-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>
|
| +%plugins%
|
| +</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;
|
| + }
|
| +
|
| + 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.description = function () { return entry['description']; }
|
| + this.revision = function () { return entry['revision']; }
|
| + this.label = function () {
|
| + var label = 'r' + this.revision();
|
| + if (this.description())
|
| + label += ' ‐ ' + this.description();
|
| + return label;
|
| + }
|
| +}
|
| +
|
| +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');
|
| + }
|
| + 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];
|
| + }
|
| +}
|
| +
|
| +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 timePlotOptions = {
|
| + yaxis: { show: false },
|
| + xaxis: { show: false },
|
| + lines: { show: true },
|
| + grid: { borderWidth: 1, borderColor: '#ccc' },
|
| + colors: [ plotColor ]
|
| +};
|
| +
|
| +function createPlot(container, test) {
|
| + var section = $('<section><div class="plot"></div><div class="time-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);
|
| +
|
| + attachTimePlots(test, section.children('.time-plots'));
|
| +
|
| + 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 attachTimePlots(test, container) {
|
| + var results = test.results();
|
| + var attachedPlot = false;
|
| + for (var i = 0; i < results.length; i++) {
|
| + container.append('<div></div>');
|
| + var values = results[i].values();
|
| + if (!values)
|
| + continue;
|
| + attachedPlot = true;
|
| +
|
| + $.plot(container.children().last(), [values.map(function (value, index) { return [index, value]; })],
|
| + $.extend(true, {}, timePlotOptions, {yaxis: {min: Math.min.apply(Math, values) * 0.9, max: Math.max.apply(Math, values) * 1.1},
|
| + xaxis: {min: -0.5, max: values.length - 0.5}}));
|
| + }
|
| + if (!attachedPlot)
|
| + container.children().remove();
|
| +}
|
| +
|
| +function attachPlot(test, plotContainer, minIsZero) {
|
| + var results = test.results();
|
| +
|
| + var values = results.reduce(function (values, result, index) {
|
| + var newValues = result.values();
|
| + return newValues ? values.concat(newValues.map(function (value) { return [index, value]; })) : values;
|
| + }, []);
|
| +
|
| + var plotData = [$.extend(true, {}, subpointsPlotOptions, {data: values})];
|
| + plotData.push({id: 'μ', 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) {
|
| + $('#container').html('<thead><tr><th>Test</th><th>Unit</th>' + runs.map(function (run, index) {
|
| + return '<th colspan="' + (index == referenceIndex ? 2 : 3) + '" class="{sorter: \'comparison\'}">' + run.label() + '</th>';
|
| + }).reduce(function (markup, cell) { return markup + cell; }, '') + '</tr></head><tbody></tbody>');
|
| +
|
| + var testNames = [];
|
| + for (testName in tests)
|
| + testNames.push(testName);
|
| +
|
| + testNames.sort().map(function (testName) {
|
| + var test = tests[testName];
|
| + if (test.isMemoryTest() != shouldIgnoreMemory)
|
| + createTableRow(runs, test, referenceIndex);
|
| + });
|
| +
|
| + $('#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) {
|
| + var tableRow = $('<tr><td class="test"' + (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 ');
|
| + 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 (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 = 'σ=' + 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 + '">± '
|
| + + 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': ''});
|
| + } else {
|
| + var plot = createPlot(firstCell, test);
|
| + 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});
|
| + }
|
| +
|
| + 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>
|
|
|
Chromium Code Reviews
Issue 22325006:
Revert "Revert 215542 "[Telemetry] Add HTML output and make it the default."" (Closed)
Base URL: svn://svn.chromium.org/chrome/trunk/src