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| 1 <script> | |
| 2 function PerfRunner(options) { | |
| 3 this.unit_ = options.unit || "ms"; | |
| 4 this.iterationsRemaining_ = options.iterations || 10; | |
| 5 this.results_ = []; | |
| 6 this.setup_ = options.setup; | |
| 7 this.logLines_ = []; | |
| 8 } | |
| 9 | |
| 10 PerfRunner.prototype.log = function(line) { | |
| 11 this.logLines_.push(line); | |
| 12 }; | |
| 13 | |
| 14 PerfRunner.prototype.recordResult = function(result) { | |
| 15 this.results_.push(result); | |
| 16 }; | |
| 17 | |
| 18 PerfRunner.prototype.runAsync = function(test) { | |
| 19 var self = this; | |
| 20 window.setTimeout(function() { | |
| 21 if (self.setup_) { | |
| 22 var setup = self.setup_; | |
| 23 setup(); | |
| 24 } | |
| 25 | |
| 26 var startTime = Date.now(); | |
| 27 test(function() { | |
| 28 var endTime = Date.now(); | |
| 29 | |
| 30 self.recordResult(endTime - startTime); | |
| 31 if (--self.iterationsRemaining_ > 0) | |
| 32 self.runAsync(test); | |
| 33 else | |
| 34 self.finish(); | |
| 35 }); | |
| 36 }); | |
| 37 }; | |
| 38 | |
| 39 PerfRunner.prototype.computeStatistics = function() { | |
| 40 var data = this.results_.slice(); | |
| 41 | |
| 42 // Add values from the smallest to the largest to avoid the loss of significan
ce | |
| 43 data.sort(function(a, b) { return a - b; }); | |
| 44 | |
| 45 var middle = Math.floor(data.length / 2); | |
| 46 var stats = { | |
| 47 min: data[0], | |
| 48 max: data[data.length - 1], | |
| 49 median: data.length % 2 ? data[middle] : (data[middle - 1] + data[middle]) /
2, | |
| 50 }; | |
| 51 | |
| 52 // Compute the mean and variance using Knuth's online algorithm (has good nume
rical stability). | |
| 53 var squareSum = 0; | |
| 54 stats.values = this.results_; | |
| 55 stats.mean = 0; | |
| 56 for (var i = 0; i < data.length; ++i) { | |
| 57 var x = data[i]; | |
| 58 var delta = x - stats.mean; | |
| 59 var sweep = i + 1.0; | |
| 60 stats.mean += delta / sweep; | |
| 61 squareSum += delta * (x - stats.mean); | |
| 62 } | |
| 63 stats.variance = data.length <= 1 ? 0 : squareSum / (data.length - 1); | |
| 64 stats.stdev = Math.sqrt(stats.variance); | |
| 65 stats.unit = this.unit_; | |
| 66 | |
| 67 return stats; | |
| 68 }; | |
| 69 | |
| 70 PerfRunner.prototype.logStatistics = function(title) { | |
| 71 var stats = this.computeStatistics(); | |
| 72 this.log(""); | |
| 73 this.log(title); | |
| 74 if (stats.values) | |
| 75 this.log("values " + stats.values.join(", ") + " " + stats.unit); | |
| 76 this.log("avg " + stats.mean + " " + stats.unit); | |
| 77 this.log("median " + stats.median + " " + stats.unit); | |
| 78 this.log("stdev " + stats.stdev + " " + stats.unit); | |
| 79 this.log("min " + stats.min + " " + stats.unit); | |
| 80 this.log("max " + stats.max + " " + stats.unit); | |
| 81 }; | |
| 82 | |
| 83 PerfRunner.prototype.finish = function () { | |
| 84 this.logStatistics("Time:"); | |
| 85 internals.notifyTestComplete(this.logLines_.join('\n')); | |
| 86 } | |
| 87 | |
| 88 module.exports = PerfRunner; | |
| 89 </script> | |
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