Update SunSpider benchmark from 0.9.1 to 1.0.

chrome/test/data/sunspider/sunspider-analyze-results.js

 /*
  * 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
@@ skipping 155 matching lines @@
 var tLimit = 1.96;
 
 function tDist(n)
 {
     if (n > tMax)
         return tLimit;
     return tDistribution[n];
 }
 
 
-function formatResult(meanWidth, mean, stdErr, n)
+function formatResult(meanWidth, mean, stdErr, n, mode)
 {
+    // NaN mean means that the test did not run correctly.
+    if (mean != mean) {
+        var result = "";
+        for (var i = 0; i < meanWidth - 3; ++i)
+            result += " ";
+        if (mode == "test")
+            result += "ERROR: Invalid test run.";
+        else
+            result += "ERROR: Some tests failed.";
+        return result;
+    }
+    
     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) + "%";
 }
@@ skipping 24 matching lines @@
         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)
+function resultLine(labelWidth, indent, label, meanWidth, mean, stdErr, mode)
 {
     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);
+    return result + formatResult(meanWidth, mean, stdErr, count, mode);
 }
 
 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(resultLine(labelWidth, 0, "Total", meanWidth, mean, stdErr, "total"));
     print("--------------------------------------------");
     for (var category in categoryMeans) {
         print("");
-        print(resultLine(labelWidth, 2, category, meanWidth, categoryMeans[category], categoryStdErrs[category]));
+        print(resultLine(labelWidth, 2, category, meanWidth, categoryMeans[category], categoryStdErrs[category], "category"));
         for (var test in testMeansByCategory[category]) {
             var shortName = test.replace(/^[^-]*-/, "");
-            print(resultLine(labelWidth, 4, shortName, meanWidth, testMeansByCategory[category][test], testStdErrsByCategory[category][test]));
+            print(resultLine(labelWidth, 4, shortName, meanWidth, testMeansByCategory[category][test], testStdErrsByCategory[category][test], "test"));
         }
     }
 }
 
 initialize();
 computeItemTotals();
 computeTotals();
 computeMeans();
 computeStdDevs();
 computeStdErrors();
 printOutput();