| Index: chrome/test/data/third_party/kraken/resources/compare-results.js
|
| diff --git a/chrome/test/data/third_party/kraken/resources/compare-results.js b/chrome/test/data/third_party/kraken/resources/compare-results.js
|
| deleted file mode 100644
|
| index 583173e1e53f27b16f741e0b1005f25a34390321..0000000000000000000000000000000000000000
|
| --- a/chrome/test/data/third_party/kraken/resources/compare-results.js
|
| +++ /dev/null
|
| @@ -1,381 +0,0 @@
|
| -/*
|
| - * Copyright (C) 2007 Apple Inc. All rights reserved.
|
| - * Copyright (C) 2010 Mozilla Foundation
|
| - *
|
| - * 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 COMPUTER, INC. ``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 COMPUTER, INC. OR
|
| - * 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.
|
| - */
|
| -
|
| -function sunspiderCompareResults(output1, output2)
|
| -{
|
| - var count1 = output1.length;
|
| - var count2 = output2.length;
|
| -
|
| - var itemTotals1 = {};
|
| - itemTotals1.length = count1;
|
| -
|
| - var total1 = 0;
|
| - var categoryTotals1 = {};
|
| - var testTotalsByCategory1 = {};
|
| -
|
| - var mean1 = 0;
|
| - var categoryMeans1 = {};
|
| - var testMeansByCategory1 = {};
|
| -
|
| - var stdDev1 = 0;
|
| - var categoryStdDevs1 = {};
|
| - var testStdDevsByCategory1 = {};
|
| -
|
| - var stdErr1 = 0;
|
| - var categoryStdErrs1 = {};
|
| - var testStdErrsByCategory1 = {};
|
| -
|
| - var itemTotals2 = {};
|
| - itemTotals2.length = count2;
|
| -
|
| - var total2 = 0;
|
| - var categoryTotals2 = {};
|
| - var testTotalsByCategory2 = {};
|
| -
|
| - var mean2 = 0;
|
| - var categoryMeans2 = {};
|
| - var testMeansByCategory2 = {};
|
| -
|
| - var stdDev2 = 0;
|
| - var categoryStdDevs2 = {};
|
| - var testStdDevsByCategory2 = {};
|
| -
|
| - var stdErr2 = 0;
|
| - var categoryStdErrs2 = {};
|
| - var testStdErrsByCategory2 = {};
|
| -
|
| - function initialize()
|
| - {
|
| - itemTotals1 = {total: []};
|
| -
|
| - for (var i = 0; i < categories.length; i++) {
|
| - var category = categories[i];
|
| - itemTotals1[category] = [];
|
| - categoryTotals1[category] = 0;
|
| - testTotalsByCategory1[category] = {};
|
| - categoryMeans1[category] = 0;
|
| - testMeansByCategory1[category] = {};
|
| - categoryStdDevs1[category] = 0;
|
| - testStdDevsByCategory1[category] = {};
|
| - categoryStdErrs1[category] = 0;
|
| - testStdErrsByCategory1[category] = {};
|
| - }
|
| -
|
| - for (var i = 0; i < tests.length; i++) {
|
| - var test = tests[i];
|
| - itemTotals1[test] = [];
|
| - var category = test.replace(/-.*/, "");
|
| - testTotalsByCategory1[category][test] = 0;
|
| - testMeansByCategory1[category][test] = 0;
|
| - testStdDevsByCategory1[category][test] = 0;
|
| - testStdErrsByCategory1[category][test] = 0;
|
| - }
|
| -
|
| - for (var i = 0; i < count1; i++) {
|
| - itemTotals1["total"][i] = 0;
|
| - for (var category in categoryTotals1) {
|
| - itemTotals1[category][i] = 0;
|
| - for (var test in testTotalsByCategory1[category]) {
|
| - itemTotals1[test][i] = 0;
|
| - }
|
| - }
|
| - }
|
| -
|
| - itemTotals2 = {total: []};
|
| -
|
| - for (var i = 0; i < categories.length; i++) {
|
| - var category = categories[i];
|
| - itemTotals2[category] = [];
|
| - categoryTotals2[category] = 0;
|
| - testTotalsByCategory2[category] = {};
|
| - categoryMeans2[category] = 0;
|
| - testMeansByCategory2[category] = {};
|
| - categoryStdDevs2[category] = 0;
|
| - testStdDevsByCategory2[category] = {};
|
| - categoryStdErrs2[category] = 0;
|
| - testStdErrsByCategory2[category] = {};
|
| - }
|
| -
|
| - for (var i = 0; i < tests.length; i++) {
|
| - var test = tests[i];
|
| - itemTotals2[test] = [];
|
| - var category = test.replace(/-.*/, "");
|
| - testTotalsByCategory2[category][test] = 0;
|
| - testMeansByCategory2[category][test] = 0;
|
| - testStdDevsByCategory2[category][test] = 0;
|
| - testStdErrsByCategory2[category][test] = 0;
|
| - }
|
| -
|
| - for (var i = 0; i < count2; i++) {
|
| - itemTotals2["total"][i] = 0;
|
| - for (var category in categoryTotals2) {
|
| - itemTotals2[category][i] = 0;
|
| - for (var test in testTotalsByCategory2[category]) {
|
| - itemTotals2[test][i] = 0;
|
| - }
|
| - }
|
| - }
|
| -
|
| - }
|
| -
|
| - function computeItemTotals(output, itemTotals)
|
| - {
|
| - for (var i = 0; i < output.length; i++) {
|
| - var result = output[i];
|
| - for (var test in result) {
|
| - var time = result[test];
|
| - var category = test.replace(/-.*/, "");
|
| - itemTotals["total"][i] += time;
|
| - itemTotals[category][i] += time;
|
| - itemTotals[test][i] += time;
|
| - }
|
| - }
|
| - }
|
| -
|
| - function computeTotals(output, categoryTotals, testTotalsByCategory)
|
| - {
|
| - var total = 0;
|
| -
|
| - for (var i = 0; i < output.length; i++) {
|
| - var result = output[i];
|
| - for (var test in result) {
|
| - var time = result[test];
|
| - var category = test.replace(/-.*/, "");
|
| - total += time;
|
| - categoryTotals[category] += time;
|
| - testTotalsByCategory[category][test] += time;
|
| - }
|
| - }
|
| -
|
| - return total;
|
| - }
|
| -
|
| - function computeMeans(count, total, categoryTotals, categoryMeans, testTotalsByCategory, testMeansByCategory)
|
| - {
|
| - var mean = total / count;
|
| - for (var category in categoryTotals) {
|
| - categoryMeans[category] = categoryTotals[category] / count;
|
| - for (var test in testTotalsByCategory[category]) {
|
| - testMeansByCategory[category][test] = testTotalsByCategory[category][test] / count;
|
| - }
|
| - }
|
| - return mean;
|
| - }
|
| -
|
| - function standardDeviation(mean, items)
|
| - {
|
| - var deltaSquaredSum = 0;
|
| - for (var i = 0; i < items.length; i++) {
|
| - var delta = items[i] - mean;
|
| - deltaSquaredSum += delta * delta;
|
| - }
|
| - variance = deltaSquaredSum / (items.length - 1);
|
| - return Math.sqrt(variance);
|
| - }
|
| -
|
| - function computeStdDevs(mean, itemTotals, categoryStdDevs, categoryMeans, testStdDevsByCategory, testMeansByCategory)
|
| - {
|
| - var stdDev = standardDeviation(mean, itemTotals["total"]);
|
| - for (var category in categoryStdDevs) {
|
| - categoryStdDevs[category] = standardDeviation(categoryMeans[category], itemTotals[category]);
|
| - }
|
| - for (var category in categoryStdDevs) {
|
| - for (var test in testStdDevsByCategory[category]) {
|
| - testStdDevsByCategory[category][test] = standardDeviation(testMeansByCategory[category][test], itemTotals[test]);
|
| - }
|
| - }
|
| - return stdDev;
|
| - }
|
| -
|
| - function computeStdErrors(count, stdDev, categoryStdErrs, categoryStdDevs, testStdErrsByCategory, testStdDevsByCategory)
|
| - {
|
| - var sqrtCount = Math.sqrt(count);
|
| -
|
| - var stdErr = stdDev / sqrtCount;
|
| - for (var category in categoryStdErrs) {
|
| - categoryStdErrs[category] = categoryStdDevs[category] / sqrtCount;
|
| - }
|
| - for (var category in categoryStdDevs) {
|
| - for (var test in testStdErrsByCategory[category]) {
|
| - testStdErrsByCategory[category][test] = testStdDevsByCategory[category][test] / sqrtCount;
|
| - }
|
| - }
|
| -
|
| - return stdErr;
|
| - }
|
| -
|
| - var tDistribution = [NaN, NaN, 12.71, 4.30, 3.18, 2.78, 2.57, 2.45, 2.36, 2.31, 2.26, 2.23, 2.20, 2.18, 2.16, 2.14, 2.13, 2.12, 2.11, 2.10, 2.09, 2.09, 2.08, 2.07, 2.07, 2.06, 2.06, 2.06, 2.05, 2.05, 2.05, 2.04, 2.04, 2.04, 2.03, 2.03, 2.03, 2.03, 2.03, 2.02, 2.02, 2.02, 2.02, 2.02, 2.02, 2.02, 2.01, 2.01, 2.01, 2.01, 2.01, 2.01, 2.01, 2.01, 2.01, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.96];
|
| - var tMax = tDistribution.length;
|
| - var tLimit = 1.96;
|
| -
|
| - function tDist(n)
|
| - {
|
| - if (n > tMax)
|
| - return tLimit;
|
| - return tDistribution[n];
|
| - }
|
| -
|
| -
|
| - function formatMean(meanWidth, mean, stdErr, count)
|
| - {
|
| - var meanString = mean.toFixed(1).toString();
|
| - while (meanString.length < meanWidth) {
|
| - meanString = " " + meanString;
|
| - }
|
| -
|
| - var error = "+/- " + ((tDist(count) * stdErr / mean) * 100).toFixed(1) + "% ";
|
| -
|
| - return meanString + "ms " + error;
|
| - }
|
| -
|
| - function computeLabelWidth()
|
| - {
|
| - var width = "Total".length;
|
| - for (var category in categoryMeans1) {
|
| - if (category.length + 2 > width)
|
| - width = category.length + 2;
|
| - }
|
| - for (var i = 0; i < tests.length; i++) {
|
| - var shortName = tests[i].replace(/^[^-]*-/, "");
|
| - if (shortName.length + 4 > width)
|
| - width = shortName.length + 4;
|
| - }
|
| -
|
| - return width;
|
| - }
|
| -
|
| - function computeMeanWidth(mean, categoryMeans, testMeansByCategory)
|
| - {
|
| - var width = mean.toFixed(1).toString().length;
|
| - for (var category in categoryMeans) {
|
| - var candidate = categoryMeans[category].toFixed(1).toString().length;
|
| - if (candidate > width)
|
| - width = candidate;
|
| - for (var test in testMeansByCategory[category]) {
|
| - var candidate = testMeansByCategory[category][test].toFixed(1).toString().length;
|
| - if (candidate > width)
|
| - width = candidate;
|
| - }
|
| - }
|
| -
|
| - return width;
|
| - }
|
| -
|
| - function pad(str, n)
|
| - {
|
| - while (str.length < n) {
|
| - str += " ";
|
| - }
|
| - return str;
|
| - }
|
| -
|
| - function resultLine(labelWidth, indent, label, meanWidth1, mean1, stdErr1, meanWidth2, mean2, stdErr2)
|
| - {
|
| - result = pad("", indent);
|
| - result += label + ": ";
|
| - result = pad(result, labelWidth + 2);
|
| -
|
| - var t = (mean1 - mean2) / (Math.sqrt((stdErr1 * stdErr1) + (stdErr2 * stdErr2)));
|
| - var df = count1 + count2 - 2;
|
| -
|
| - var statisticallySignificant = (Math.abs(t) > tDist(df+1));
|
| - var diff = mean2 - mean1;
|
| - var percentage = 100 * diff / mean1;
|
| - var isFaster = diff < 0;
|
| - var probablySame = (percentage < 0.1) && !statisticallySignificant;
|
| - var ratio = isFaster ? (mean1 / mean2) : (mean2 / mean1);
|
| - var fixedRatio = (ratio < 1.2) ? ratio.toFixed(3).toString() : ((ratio < 10) ? ratio.toFixed(2).toString() : ratio.toFixed(1).toString());
|
| - var formattedRatio = isFaster ? fixedRatio + "x as fast" : "*" + fixedRatio + "x as slow*";
|
| -
|
| - var diffSummary;
|
| - var diffDetail;
|
| -
|
| - if (probablySame) {
|
| - diffSummary = "-";
|
| - diffDetail = "";
|
| - } else if (!statisticallySignificant) {
|
| - diffSummary = "??";
|
| - diffDetail = " might be " + formattedRatio;
|
| - } else {
|
| - diffSummary = formattedRatio;
|
| - diffDetail = " significant";
|
| - }
|
| -
|
| - return result + pad(diffSummary, 18) + formatMean(meanWidth1, mean1, stdErr1, count1) + " " + formatMean(meanWidth2, mean2, stdErr2, count2) + diffDetail;
|
| - }
|
| -
|
| - function printOutput()
|
| - {
|
| - var labelWidth = computeLabelWidth();
|
| - var meanWidth1 = computeMeanWidth(mean1, categoryMeans1, testMeansByCategory1);
|
| - var meanWidth2 = computeMeanWidth(mean2, categoryMeans2, testMeansByCategory2);
|
| -
|
| - print("\n");
|
| - var header = "TEST";
|
| - while (header.length < labelWidth)
|
| - header += " ";
|
| - header += " COMPARISON FROM TO DETAILS";
|
| - print(header);
|
| - print("");
|
| - print("====================================================================================");
|
| - print("");
|
| - print(resultLine(labelWidth, 0, "** TOTAL **", meanWidth1, mean1, stdErr1, meanWidth2, mean2, stdErr2));
|
| - print("");
|
| - print("====================================================================================");
|
| -
|
| - for (var category in categoryMeans1) {
|
| - print("");
|
| - print(resultLine(labelWidth, 2, category,
|
| - meanWidth1, categoryMeans1[category], categoryStdErrs1[category],
|
| - meanWidth2, categoryMeans2[category], categoryStdErrs2[category]));
|
| - for (var test in testMeansByCategory1[category]) {
|
| - var shortName = test.replace(/^[^-]*-/, "");
|
| - print(resultLine(labelWidth, 4, shortName,
|
| - meanWidth1, testMeansByCategory1[category][test], testStdErrsByCategory1[category][test],
|
| - meanWidth2, testMeansByCategory2[category][test], testStdErrsByCategory2[category][test]));
|
| - }
|
| - }
|
| - }
|
| -
|
| - initialize();
|
| -
|
| - computeItemTotals(output1, itemTotals1);
|
| - computeItemTotals(output2, itemTotals2);
|
| -
|
| - total1 = computeTotals(output1, categoryTotals1, testTotalsByCategory1);
|
| - total2 = computeTotals(output2, categoryTotals2, testTotalsByCategory2);
|
| -
|
| - mean1 = computeMeans(count1, total1, categoryTotals1, categoryMeans1, testTotalsByCategory1, testMeansByCategory1);
|
| - mean2 = computeMeans(count2, total2, categoryTotals2, categoryMeans2, testTotalsByCategory2, testMeansByCategory2);
|
| -
|
| - stdDev1 = computeStdDevs(mean1, itemTotals1, categoryStdDevs1, categoryMeans1, testStdDevsByCategory1, testMeansByCategory1);
|
| - stdDev2 = computeStdDevs(mean2, itemTotals2, categoryStdDevs2, categoryMeans2, testStdDevsByCategory2, testMeansByCategory2);
|
| -
|
| - stdErr1 = computeStdErrors(count1, stdDev1, categoryStdErrs1, categoryStdDevs1, testStdErrsByCategory1, testStdDevsByCategory1);
|
| - stdErr2 = computeStdErrors(count2, stdDev2, categoryStdErrs2, categoryStdDevs2, testStdErrsByCategory2, testStdDevsByCategory2);
|
| -
|
| - printOutput();
|
| -}
|
|
|
Chromium Code Reviews
Issue 11348021:
Automate Kraken benchmark with Chrome Remote Control. (Closed)
Base URL: svn://svn.chromium.org/chrome/trunk/src