chrome/test/data/third_party/kraken/hosted/compare-results.js

   1 /*
   2  * Copyright (C) 2007 Apple Inc.  All rights reserved.
   3  * Copyright (C) 2010 Mozilla Foundation
   4  *
   5  * Redistribution and use in source and binary forms, with or without
   6  * modification, are permitted provided that the following conditions
   7  * are met:
   8  * 1. Redistributions of source code must retain the above copyright
   9  *    notice, this list of conditions and the following disclaimer.
  10  * 2. Redistributions in binary form must reproduce the above copyright
  11  *    notice, this list of conditions and the following disclaimer in the
  12  *    documentation and/or other materials provided with the distribution.
  13  *
  14  * THIS SOFTWARE IS PROVIDED BY APPLE COMPUTER, INC. ``AS IS'' AND ANY
  15  * EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
  16  * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
  17  * PURPOSE ARE DISCLAIMED.  IN NO EVENT SHALL APPLE COMPUTER, INC. OR
  18  * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
  19  * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
  20  * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
  21  * PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
  22  * OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
  23  * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
  24  * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
  25  */
  26
  27 function sunspiderCompareResults(output1, output2)
  28 {
  29     var count1 = output1.length;
  30     var count2 = output2.length;
  31
  32     var itemTotals1 = {};
  33     itemTotals1.length = count1;
  34
  35     var total1 = 0;
  36     var categoryTotals1 = {};
  37     var testTotalsByCategory1 = {};
  38
  39     var mean1 = 0;
  40     var categoryMeans1 = {};
  41     var testMeansByCategory1 = {};
  42
  43     var stdDev1 = 0;
  44     var categoryStdDevs1 = {};
  45     var testStdDevsByCategory1 = {};
  46
  47     var stdErr1 = 0;
  48     var categoryStdErrs1 = {};
  49     var testStdErrsByCategory1 = {};
  50
  51     var itemTotals2 = {};
  52     itemTotals2.length = count2;
  53
  54     var total2 = 0;
  55     var categoryTotals2 = {};
  56     var testTotalsByCategory2 = {};
  57
  58     var mean2 = 0;
  59     var categoryMeans2 = {};
  60     var testMeansByCategory2 = {};
  61
  62     var stdDev2 = 0;
  63     var categoryStdDevs2 = {};
  64     var testStdDevsByCategory2 = {};
  65
  66     var stdErr2 = 0;
  67     var categoryStdErrs2 = {};
  68     var testStdErrsByCategory2 = {};
  69
  70     function initialize()
  71     {
  72         itemTotals1 = {total: []};
  73
  74         for (var i = 0; i < categories.length; i++) {
  75             var category = categories[i];
  76             itemTotals1[category] = [];
  77             categoryTotals1[category] = 0;
  78             testTotalsByCategory1[category] = {};
  79             categoryMeans1[category] = 0;
  80             testMeansByCategory1[category] = {};
  81             categoryStdDevs1[category] = 0;
  82             testStdDevsByCategory1[category] = {};
  83             categoryStdErrs1[category] = 0;
  84             testStdErrsByCategory1[category] = {};
  85         }
  86
  87         for (var i = 0; i < tests.length; i++) {
  88             var test = tests[i];
  89             itemTotals1[test] = [];
  90             var category = test.replace(/-.*/, "");
  91             testTotalsByCategory1[category][test] = 0;
  92             testMeansByCategory1[category][test] = 0;
  93             testStdDevsByCategory1[category][test] = 0;
  94             testStdErrsByCategory1[category][test] = 0;
  95         }
  96
  97         for (var i = 0; i < count1; i++) {
  98             itemTotals1["total"][i] = 0;
  99             for (var category in categoryTotals1) {
 100                 itemTotals1[category][i] = 0;
 101                 for (var test in testTotalsByCategory1[category]) {
 102                     itemTotals1[test][i] = 0;
 103                 }
 104             }
 105         }
 106
 107         itemTotals2 = {total: []};
 108
 109         for (var i = 0; i < categories.length; i++) {
 110             var category = categories[i];
 111             itemTotals2[category] = [];
 112             categoryTotals2[category] = 0;
 113             testTotalsByCategory2[category] = {};
 114             categoryMeans2[category] = 0;
 115             testMeansByCategory2[category] = {};
 116             categoryStdDevs2[category] = 0;
 117             testStdDevsByCategory2[category] = {};
 118             categoryStdErrs2[category] = 0;
 119             testStdErrsByCategory2[category] = {};
 120         }
 121
 122         for (var i = 0; i < tests.length; i++) {
 123             var test = tests[i];
 124             itemTotals2[test] = [];
 125             var category = test.replace(/-.*/, "");
 126             testTotalsByCategory2[category][test] = 0;
 127             testMeansByCategory2[category][test] = 0;
 128             testStdDevsByCategory2[category][test] = 0;
 129             testStdErrsByCategory2[category][test] = 0;
 130         }
 131
 132         for (var i = 0; i < count2; i++) {
 133             itemTotals2["total"][i] = 0;
 134             for (var category in categoryTotals2) {
 135                 itemTotals2[category][i] = 0;
 136                 for (var test in testTotalsByCategory2[category]) {
 137                     itemTotals2[test][i] = 0;
 138                 }
 139             }
 140         }
 141
 142     }
 143
 144     function computeItemTotals(output, itemTotals)
 145     {
 146         for (var i = 0; i < output.length; i++) {
 147             var result = output[i];
 148             for (var test in result) {
 149                 var time = result[test];
 150                 var category = test.replace(/-.*/, "");
 151                 itemTotals["total"][i] += time;
 152                 itemTotals[category][i] += time;
 153                 itemTotals[test][i] += time;
 154             }
 155         }
 156     }
 157
 158     function computeTotals(output, categoryTotals, testTotalsByCategory)
 159     {
 160         var total = 0;
 161
 162         for (var i = 0; i < output.length; i++) {
 163             var result = output[i];
 164             for (var test in result) {
 165                 var time = result[test];
 166                 var category = test.replace(/-.*/, "");
 167                 total += time;
 168                 categoryTotals[category] += time;
 169                 testTotalsByCategory[category][test] += time;
 170             }
 171         }
 172
 173         return total;
 174     }
 175
 176     function computeMeans(count, total, categoryTotals, categoryMeans, testTotalsByCategory, testMeansByCategory)
 177     {
 178         var mean = total / count;
 179         for (var category in categoryTotals) {
 180             categoryMeans[category] = categoryTotals[category] / count;
 181             for (var test in testTotalsByCategory[category]) {
 182                 testMeansByCategory[category][test] = testTotalsByCategory[category][test] / count;
 183             }
 184         }
 185         return mean;
 186     }
 187
 188     function standardDeviation(mean, items)
 189     {
 190         var deltaSquaredSum = 0;
 191         for (var i = 0; i < items.length; i++) {
 192             var delta = items[i] - mean;
 193             deltaSquaredSum += delta * delta;
 194         }
 195         variance = deltaSquaredSum / (items.length - 1);
 196         return Math.sqrt(variance);
 197     }
 198
 199     function computeStdDevs(mean, itemTotals, categoryStdDevs, categoryMeans, testStdDevsByCategory, testMeansByCategory)
 200     {
 201         var stdDev = standardDeviation(mean, itemTotals["total"]);
 202         for (var category in categoryStdDevs) {
 203             categoryStdDevs[category] = standardDeviation(categoryMeans[category], itemTotals[category]);
 204         }
 205         for (var category in categoryStdDevs) {
 206             for (var test in testStdDevsByCategory[category]) {
 207                 testStdDevsByCategory[category][test] = standardDeviation(testMeansByCategory[category][test], itemTotals[test]);
 208             }
 209         }
 210         return stdDev;
 211     }
 212
 213     function computeStdErrors(count, stdDev, categoryStdErrs, categoryStdDevs, testStdErrsByCategory, testStdDevsByCategory)
 214     {
 215         var sqrtCount = Math.sqrt(count);
 216
 217         var stdErr = stdDev / sqrtCount;
 218         for (var category in categoryStdErrs) {
 219             categoryStdErrs[category] = categoryStdDevs[category] / sqrtCount;
 220         }
 221         for (var category in categoryStdDevs) {
 222             for (var test in testStdErrsByCategory[category]) {
 223                 testStdErrsByCategory[category][test] = testStdDevsByCategory[category][test] / sqrtCount;
 224             }
 225         }
 226
 227         return stdErr;
 228     }
 229
 230     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];
 231     var tMax = tDistribution.length;
 232     var tLimit = 1.96;
 233
 234     function tDist(n)
 235     {
 236         if (n > tMax)
 237             return tLimit;
 238         return tDistribution[n];
 239     }
 240
 241
 242     function formatMean(meanWidth, mean, stdErr, count)
 243     {
 244         var meanString = mean.toFixed(1).toString();
 245         while (meanString.length < meanWidth) {
 246             meanString = " " + meanString;
 247         }
 248
 249         var error = "+/- " + ((tDist(count) * stdErr / mean) * 100).toFixed(1) + "% ";
 250
 251         return meanString + "ms " + error;
 252     }
 253
 254     function computeLabelWidth()
 255     {
 256         var width = "Total".length;
 257         for (var category in categoryMeans1) {
 258             if (category.length + 2 > width)
 259                 width = category.length + 2;
 260         }
 261         for (var i = 0; i < tests.length; i++) {
 262             var shortName = tests[i].replace(/^[^-]*-/, "");
 263             if (shortName.length + 4 > width)
 264                 width = shortName.length + 4;
 265         }
 266
 267         return width;
 268     }
 269
 270     function computeMeanWidth(mean, categoryMeans, testMeansByCategory)
 271     {
 272         var width = mean.toFixed(1).toString().length;
 273         for (var category in categoryMeans) {
 274             var candidate = categoryMeans[category].toFixed(1).toString().length;
 275             if (candidate > width)
 276                 width = candidate;
 277             for (var test in testMeansByCategory[category]) {
 278                 var candidate = testMeansByCategory[category][test].toFixed(1).toString().length;
 279                 if (candidate > width)
 280                     width = candidate;
 281             }
 282         }
 283
 284         return width;
 285     }
 286
 287     function pad(str, n)
 288     {
 289         while (str.length < n) {
 290             str += " ";
 291         }
 292         return str;
 293     }
 294
 295     function resultLine(labelWidth, indent, label, meanWidth1, mean1, stdErr1, meanWidth2, mean2, stdErr2)
 296     {
 297         result = pad("", indent);
 298         result += label + ": ";
 299         result = pad(result, labelWidth + 2);
 300
 301         var t = (mean1 - mean2) / (Math.sqrt((stdErr1 * stdErr1) + (stdErr2 * stdErr2)));
 302         var df = count1 + count2 - 2;
 303
 304         var statisticallySignificant = (Math.abs(t) > tDist(df+1));
 305         var diff = mean2 - mean1;
 306         var percentage = 100 * diff / mean1;
 307         var isFaster = diff < 0;
 308         var probablySame = (percentage < 0.1) && !statisticallySignificant;
 309         var ratio = isFaster ? (mean1 / mean2) : (mean2 / mean1);
 310         var fixedRatio = (ratio < 1.2) ? ratio.toFixed(3).toString() : ((ratio < 10) ? ratio.toFixed(2).toString() : ratio.toFixed(1).toString());
 311         var formattedRatio = isFaster ? fixedRatio + "x as fast" : "*" + fixedRatio + "x as slow*";
 312
 313         var diffSummary;
 314         var diffDetail;
 315
 316         if (probablySame) {
 317             diffSummary = "-";
 318             diffDetail = "";
 319         } else if (!statisticallySignificant) {
 320             diffSummary = "??";
 321             diffDetail =  "    might be " + formattedRatio;
 322         } else {
 323             diffSummary = formattedRatio;
 324             diffDetail = "    significant";
 325         }
 326
 327         return result + pad(diffSummary, 18) + formatMean(meanWidth1, mean1, stdErr1, count1) + "  " + formatMean(meanWidth2, mean2, stdErr2, count2) + diffDetail;
 328     }
 329
 330     function printOutput()
 331     {
 332         var labelWidth = computeLabelWidth();
 333         var meanWidth1 = computeMeanWidth(mean1, categoryMeans1, testMeansByCategory1);
 334         var meanWidth2 = computeMeanWidth(mean2, categoryMeans2, testMeansByCategory2);
 335
 336         print("\n");
 337         var header = "TEST";
 338         while (header.length < labelWidth)
 339             header += " ";
 340         header += "  COMPARISON            FROM                 TO               DETAILS";
 341         print(header);
 342         print("");
 343         print("====================================================================================");
 344         print("");
 345         print(resultLine(labelWidth, 0, "** TOTAL **", meanWidth1, mean1, stdErr1, meanWidth2, mean2, stdErr2));
 346         print("");
 347         print("====================================================================================");
 348
 349         for (var category in categoryMeans1) {
 350             print("");
 351             print(resultLine(labelWidth, 2, category,
 352                              meanWidth1, categoryMeans1[category], categoryStdErrs1[category],
 353                              meanWidth2, categoryMeans2[category], categoryStdErrs2[category]));
 354             for (var test in testMeansByCategory1[category]) {
 355                 var shortName = test.replace(/^[^-]*-/, "");
 356                 print(resultLine(labelWidth, 4, shortName,
 357                                  meanWidth1, testMeansByCategory1[category][test], testStdErrsByCategory1[category][test],
 358                                  meanWidth2, testMeansByCategory2[category][test], testStdErrsByCategory2[category][test]));
 359             }
 360         }
 361     }
 362
 363     initialize();
 364
 365     computeItemTotals(output1, itemTotals1);
 366     computeItemTotals(output2, itemTotals2);
 367
 368     total1 = computeTotals(output1, categoryTotals1, testTotalsByCategory1);
 369     total2 = computeTotals(output2, categoryTotals2, testTotalsByCategory2);
 370
 371     mean1 = computeMeans(count1, total1, categoryTotals1, categoryMeans1, testTotalsByCategory1, testMeansByCategory1);
 372     mean2 = computeMeans(count2, total2, categoryTotals2, categoryMeans2, testTotalsByCategory2, testMeansByCategory2);
 373
 374     stdDev1 = computeStdDevs(mean1, itemTotals1, categoryStdDevs1, categoryMeans1, testStdDevsByCategory1, testMeansByCategory1);
 375     stdDev2 = computeStdDevs(mean2, itemTotals2, categoryStdDevs2, categoryMeans2, testStdDevsByCategory2, testMeansByCategory2);
 376
 377     stdErr1 = computeStdErrors(count1, stdDev1, categoryStdErrs1, categoryStdDevs1, testStdErrsByCategory1, testStdDevsByCategory1);
 378     stdErr2 = computeStdErrors(count2, stdDev2, categoryStdErrs2, categoryStdDevs2, testStdErrsByCategory2, testStdDevsByCategory2);
 379
 380     printOutput();
 381 }