blob: 8497a612dbf0a72f7efe7806e27739704bcb6ffb [file] [log] [blame] [edit]
<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>