diff options
Diffstat (limited to 'SunSpider/resources/sunspider-analyze-results.js')
-rw-r--r-- | SunSpider/resources/sunspider-analyze-results.js | 268 |
1 files changed, 0 insertions, 268 deletions
diff --git a/SunSpider/resources/sunspider-analyze-results.js b/SunSpider/resources/sunspider-analyze-results.js deleted file mode 100644 index d849f59..0000000 --- a/SunSpider/resources/sunspider-analyze-results.js +++ /dev/null @@ -1,268 +0,0 @@ -/* - * 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(); |