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 |