Chromium Code Reviews| Index: chrome/test/data/sunspider/sunspider-analyze-results.js |
| =================================================================== |
| --- chrome/test/data/sunspider/sunspider-analyze-results.js (revision 0) |
| +++ chrome/test/data/sunspider/sunspider-analyze-results.js (revision 0) |
| @@ -0,0 +1,268 @@ |
| +/* |
| + * Copyright (C) 2007 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 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. |
| + */ |
| + |
| +var count = output.length; |
| + |
| +var itemTotals = {}; |
| +itemTotals.length = count; |
| + |
| +var total = 0; |
| +var categoryTotals = {}; |
| +var testTotalsByCategory = {}; |
| + |
| +var mean = 0; |
| +var categoryMeans = {}; |
| +var testMeansByCategory = {}; |
| + |
| +var stdDev = 0; |
| +var categoryStdDevs = {}; |
| +var testStdDevsByCategory = {}; |
| + |
| +var stdErr = 0; |
| +var categoryStdErrs = {}; |
| +var testStdErrsByCategory = {}; |
| + |
| +function initialize() |
| +{ |
| + itemTotals = {total: []}; |
| + |
| + for (var i = 0; i < categories.length; i++) { |
| + var category = categories[i]; |
| + itemTotals[category] = []; |
| + categoryTotals[category] = 0; |
| + testTotalsByCategory[category] = {}; |
| + categoryMeans[category] = 0; |
| + testMeansByCategory[category] = {}; |
| + categoryStdDevs[category] = 0; |
| + testStdDevsByCategory[category] = {}; |
| + categoryStdErrs[category] = 0; |
| + testStdErrsByCategory[category] = {}; |
| + } |
| + |
| + for (var i = 0; i < tests.length; i++) { |
| + var test = tests[i]; |
| + itemTotals[test] = []; |
| + var category = test.replace(/-.*/, ""); |
| + testTotalsByCategory[category][test] = 0; |
| + testMeansByCategory[category][test] = 0; |
| + testStdDevsByCategory[category][test] = 0; |
| + testStdErrsByCategory[category][test] = 0; |
| + } |
| + |
| + for (var i = 0; i < count; i++) { |
| + itemTotals["total"][i] = 0; |
| + for (var category in categoryTotals) { |
| + itemTotals[category][i] = 0; |
| + for (var test in testTotalsByCategory[category]) { |
| + itemTotals[test][i] = 0; |
| + } |
| + } |
| + } |
| +} |
| + |
| +function computeItemTotals() |
| +{ |
| + 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() |
| +{ |
| + 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; |
| + } |
| + } |
| +} |
| + |
| +function computeMeans() |
| +{ |
| + 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; |
| + } |
| + } |
| +} |
| + |
| +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() |
| +{ |
| + 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]); |
| + } |
| + } |
| +} |
| + |
| +function computeStdErrors() |
| +{ |
| + var sqrtCount = Math.sqrt(count); |
| + |
| + 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; |
| + } |
| + } |
| + |
| +} |
| + |
| +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 formatResult(meanWidth, mean, stdErr, n) |
| +{ |
| + var meanString = mean.toFixed(1).toString(); |
| + while (meanString.length < meanWidth) { |
| + meanString = " " + meanString; |
| + } |
| + |
| + if (n == 1) |
| + return meanString + "ms"; |
| + |
| + return meanString + "ms +/- " + ((tDist(n) * stdErr / mean) * 100).toFixed(1) + "%"; |
| +} |
| + |
| +function computeLabelWidth() |
| +{ |
| + var width = "Total".length; |
| + for (var category in categoryMeans) { |
| + 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() |
| +{ |
| + var width = mean.toFixed(1).toString().length; |
| + for (var category in categoryMeans) { |
| + var candidate = categoryMeans[category].toFixed(2).toString().length; |
| + if (candidate > width) |
| + width = candidate; |
| + for (var test in testMeansByCategory[category]) { |
| + var candidate = testMeansByCategory[category][test].toFixed(2).toString().length; |
| + if (candidate > width) |
| + width = candidate; |
| + } |
| + } |
| + |
| + return width; |
| +} |
| + |
| +function resultLine(labelWidth, indent, label, meanWidth, mean, stdErr) |
| +{ |
| + var result = ""; |
| + for (i = 0; i < indent; i++) { |
| + result += " "; |
| + } |
| + |
| + result += label + ": "; |
| + |
| + for (i = 0; i < (labelWidth - (label.length + indent)); i++) { |
| + result += " "; |
| + } |
| + |
| + return result + formatResult(meanWidth, mean, stdErr, count); |
| +} |
| + |
| +function printOutput() |
| +{ |
| + var labelWidth = computeLabelWidth(); |
| + var meanWidth = computeMeanWidth(); |
| + |
| + print("\n"); |
| + print("============================================"); |
| + if (count == 1) |
| + print("RESULTS"); |
| + else |
| + print("RESULTS (means and 95% confidence intervals)"); |
| + print("--------------------------------------------"); |
| + print(resultLine(labelWidth, 0, "Total", meanWidth, mean, stdErr)); |
| + print("--------------------------------------------"); |
| + for (var category in categoryMeans) { |
| + print(""); |
| + print(resultLine(labelWidth, 2, category, meanWidth, categoryMeans[category], categoryStdErrs[category])); |
| + for (var test in testMeansByCategory[category]) { |
| + var shortName = test.replace(/^[^-]*-/, ""); |
| + print(resultLine(labelWidth, 4, shortName, meanWidth, testMeansByCategory[category][test], testStdErrsByCategory[category][test])); |
| + } |
| + } |
| +} |
| + |
| +initialize(); |
| +computeItemTotals(); |
| +computeTotals(); |
| +computeMeans(); |
| +computeStdDevs(); |
| +computeStdErrors(); |
| +printOutput(); |
| Property changes on: chrome\test\data\sunspider\sunspider-analyze-results.js |
| ___________________________________________________________________ |
| Added: svn:eol-style |
| + LF |