| /* |
| * 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 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 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) + (stdErr1 * 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 = " not conclusive: 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(); |
| } |
