| <script> |
| function PerfRunner(options) { |
| this.unit_ = options.unit || "ms"; |
| this.iterationsRemaining_ = options.iterations || 10; |
| this.results_ = []; |
| this.setup_ = options.setup; |
| this.logLines_ = []; |
| } |
| |
| PerfRunner.prototype.log = function(line) { |
| this.logLines_.push(line); |
| }; |
| |
| PerfRunner.prototype.recordResult = function(result) { |
| this.results_.push(result); |
| }; |
| |
| PerfRunner.prototype.runAsync = function(test) { |
| var self = this; |
| window.setTimeout(function() { |
| if (self.setup_) { |
| var setup = self.setup_; |
| setup(); |
| } |
| |
| var startTime = Date.now(); |
| test(function() { |
| var endTime = Date.now(); |
| |
| self.recordResult(endTime - startTime); |
| if (--self.iterationsRemaining_ > 0) |
| self.runAsync(test); |
| else |
| self.finish(); |
| }); |
| }); |
| }; |
| |
| PerfRunner.prototype.computeStatistics = function() { |
| var data = this.results_.slice(); |
| |
| // Add values from the smallest to the largest to avoid the loss of significance |
| data.sort(function(a, b) { return a - b; }); |
| |
| var middle = Math.floor(data.length / 2); |
| var stats = { |
| min: data[0], |
| max: data[data.length - 1], |
| median: data.length % 2 ? data[middle] : (data[middle - 1] + data[middle]) / 2, |
| }; |
| |
| // Compute the mean and variance using Knuth's online algorithm (has good numerical stability). |
| var squareSum = 0; |
| stats.values = this.results_; |
| stats.mean = 0; |
| for (var i = 0; i < data.length; ++i) { |
| var x = data[i]; |
| var delta = x - stats.mean; |
| var sweep = i + 1.0; |
| stats.mean += delta / sweep; |
| squareSum += delta * (x - stats.mean); |
| } |
| stats.variance = data.length <= 1 ? 0 : squareSum / (data.length - 1); |
| stats.stdev = Math.sqrt(stats.variance); |
| stats.unit = this.unit_; |
| |
| return stats; |
| }; |
| |
| PerfRunner.prototype.logStatistics = function(title) { |
| var stats = this.computeStatistics(); |
| this.log(""); |
| this.log(title); |
| if (stats.values) |
| this.log("values " + stats.values.join(", ") + " " + stats.unit); |
| this.log("avg " + stats.mean + " " + stats.unit); |
| this.log("median " + stats.median + " " + stats.unit); |
| this.log("stdev " + stats.stdev + " " + stats.unit); |
| this.log("min " + stats.min + " " + stats.unit); |
| this.log("max " + stats.max + " " + stats.unit); |
| }; |
| |
| PerfRunner.prototype.finish = function () { |
| this.logStatistics("Time:"); |
| internals.notifyTestComplete(this.logLines_.join('\n')); |
| } |
| |
| module.exports = PerfRunner; |
| </script> |