| Index: utils/tests/string_encoding/benchmark_runner.dart
|
| diff --git a/utils/tests/string_encoding/benchmark_runner.dart b/utils/tests/string_encoding/benchmark_runner.dart
|
| new file mode 100644
|
| index 0000000000000000000000000000000000000000..873979d190c4a527837b9d7033c6f74522971224
|
| --- /dev/null
|
| +++ b/utils/tests/string_encoding/benchmark_runner.dart
|
| @@ -0,0 +1,459 @@
|
| +// Copyright (c) 2011, the Dart project authors. Please see the AUTHORS file
|
| +// for details. All rights reserved. Use of this source code is governed by a
|
| +// BSD-style license that can be found in the LICENSE file.
|
| +
|
| +/**
|
| + * The results of a single block of tests (count times run, overall time).
|
| + */
|
| +class BlockSample {
|
| + BlockSample(this.count, this.durationNanos);
|
| + int count;
|
| + int durationNanos;
|
| +
|
| + static int _totalCount(List<BlockSample> samples) =>
|
| + _sum(samples, int (BlockSample s) => s.count);
|
| +
|
| + static int _totalTime(List<BlockSample> samples) =>
|
| + _sum(samples, int (BlockSample s) => s.durationNanos);
|
| +
|
| + static BlockSample _select(List<BlockSample> samples,
|
| + BlockSample selector(BlockSample a, BlockSample b)) {
|
| + BlockSample r = null;
|
| + for (BlockSample s in samples) {
|
| + r = (r == null) ? s : selector(r, s);
|
| + }
|
| + return r;
|
| + }
|
| +
|
| + static int _sum(List<BlockSample> samples, int extract(BlockSample s)) {
|
| + int total = 0;
|
| + for (BlockSample s in samples) {
|
| + total += extract(s);
|
| + }
|
| + return total;
|
| + }
|
| +}
|
| +
|
| +/**
|
| + * Uses sample data to build a performance model for a test. Construct
|
| + * the model from a set of sample results, and it generates a simple
|
| + * predivtive model for execution of future requests. It uses
|
| + * a simple least-squares linear solution to build the model.
|
| + */
|
| +class PerformanceModel {
|
| + PerformanceModel.calculate(List<BlockSample> source) {
|
| + if (0 == source.length) {
|
| + throw "Missing data exception";
|
| + } else if (1 == source.length) {
|
| + overheadNanos = 0;
|
| + perRequestNanos = source[0].durationNanos / source[0].count;
|
| + } else {
|
| + double n = source.length.toDouble();
|
| + double sumY = BlockSample._totalTime(source).toDouble();
|
| + double sumXSquared = BlockSample._sum(source,
|
| + int _(BlockSample s) => s.count * s.count).toDouble();
|
| + double sumX = BlockSample._totalCount(source).toDouble();
|
| + double sumXY = BlockSample._sum(source,
|
| + int _(BlockSample s) => s.durationNanos * s.count).toDouble();
|
| +
|
| + overheadNanos =
|
| + ((((sumY * sumXSquared) - (sumX * sumXY)) /
|
| + ((n * sumXSquared) - (sumX * sumX))) / source.length).toInt();
|
| +
|
| + perRequestNanos =
|
| + (((n * sumXY) - (sumX * sumY)) /
|
| + ((n * sumXSquared) - (sumX * sumX))).toInt();
|
| + }
|
| + }
|
| +
|
| + bool isValid() => overheadNanos >= 0 && perRequestNanos >= 0;
|
| +
|
| + int overheadNanos;
|
| + int perRequestNanos;
|
| + int repsFor(int targetDurationNanos, [int blocksize = -1]) {
|
| + if (blocksize <= 0) {
|
| + return ((targetDurationNanos - overheadNanos) / perRequestNanos).toInt();
|
| + } else {
|
| + int blockTime = overheadNanos + (blocksize * perRequestNanos);
|
| + int fullBlocks = targetDurationNanos ~/ blockTime;
|
| + int extraReps =
|
| + ((targetDurationNanos - (fullBlocks * blockTime)) - overheadNanos)
|
| + ~/ perRequestNanos;
|
| + return ((fullBlocks * blocksize) + extraReps).toInt();
|
| + }
|
| + }
|
| +}
|
| +
|
| +/**
|
| + * Report overall test performance
|
| + */
|
| +class TestReport {
|
| + TestReport(this.id, this.desc, this.warmup, this.results) {
|
| + spaceChar = " ".charCodes()[0];
|
| + }
|
| +
|
| + int spaceChar;
|
| +
|
| + int resultsCount() => BlockSample._totalCount(results);
|
| +
|
| + int resultsNanos() => BlockSample._totalTime(results);
|
| +
|
| + int resultsBestNanos() {
|
| + BlockSample best = bestBlock(results);
|
| + return best.durationNanos ~/ best.count;
|
| + }
|
| +
|
| + int resultsMeanNanos() =>
|
| + (BlockSample._totalTime(results) /
|
| + BlockSample._totalCount(results)).toInt();
|
| +
|
| + int resultsWorstNanos() {
|
| + BlockSample worst = worstBlock(results);
|
| + return worst.durationNanos / worst.count;
|
| + }
|
| +
|
| + int warmupBestNanos() {
|
| + BlockSample best = bestBlock(warmup);
|
| + return best.durationNanos / best.count;
|
| + }
|
| +
|
| + int warmupMeanNanos() => _totalTime(warmup) / _totalCount(warmup);
|
| +
|
| + int warmupWorstNanos() {
|
| + BlockSample worst = worstBlock(warmup);
|
| + return worst.durationNanos / worst.count;
|
| + }
|
| +
|
| + BlockSample bestBlock(List<BlockSample> samples) {
|
| + return BlockSample._select(samples,
|
| + BlockSample selector(BlockSample a, BlockSample b) {
|
| + return a.durationNanos <= b.durationNanos ? a : b;
|
| + });
|
| + }
|
| +
|
| + BlockSample worstBlock(List<BlockSample> samples) {
|
| + return BlockSample._select(samples,
|
| + BlockSample selector(BlockSample a, BlockSample b) {
|
| + return a.durationNanos >= b.durationNanos ? a : b;
|
| + });
|
| + }
|
| +
|
| + void printReport() {
|
| + String text = _leftAlign("${id}", 30);
|
| + String totalCount = _rightAlign(resultsCount().toString(), 10);
|
| + String totalDurationMs =
|
| + _rightAlign(_stringifyDoubleAsInt(resultsNanos() / 1E6), 6);
|
| + String meanDuration =
|
| + _rightAlign(_stringifyDoubleAsInt(resultsMeanNanos().toDouble()), 8);
|
| +
|
| + print("${text} total time:${totalDurationMs} ms" +
|
| + " iterations:${totalCount} mean:${meanDuration} ns");
|
| + }
|
| +
|
| + void printReportWithThroughput(int sizeBytes) {
|
| + String text = _leftAlign("${id}", 30);
|
| + String totalCount = _rightAlign(resultsCount().toString(), 10);
|
| + String totalDurationMs =
|
| + _rightAlign(_stringifyDoubleAsInt(resultsNanos() / 1E6), 6);
|
| + String meanDuration =
|
| + _rightAlign(_stringifyDoubleAsInt(resultsMeanNanos()), 8);
|
| +
|
| + int totalBytes = sizeBytes * resultsCount();
|
| + String mbPerSec = (((1E9 * sizeBytes * resultsCount()) /
|
| + (1024 * 1024 * resultsNanos()))).toString();
|
| + print("${text} total time:${totalDurationMs} ms" +
|
| + " iterations:${totalCount}" +
|
| + " mean:${meanDuration} ns; ${mbPerSec} MB/sec");
|
| + }
|
| +
|
| + String _leftAlign(String s, int width) {
|
| + List<int> outCodes = [];
|
| + outCodes.insertRange(0, width, spaceChar);
|
| + outCodes.setRange(0, Math.min(width, s.length), s.charCodes());
|
| + return new String.fromCharCodes(outCodes);
|
| + }
|
| +
|
| + String _rightAlign(String s, int width) {
|
| + List<int> outCodes = [];
|
| + outCodes.insertRange(0, width, spaceChar);
|
| + outCodes.setRange(Math.max(0, width - s.length), Math.min(width, s.length),
|
| + s.charCodes());
|
| + return new String.fromCharCodes(outCodes);
|
| + }
|
| +
|
| + static String _stringifyDoubleAsInt(double val) {
|
| + if (val.isInfinite() || val.isNaN()) {
|
| + return "NaN";
|
| + } else {
|
| + return val.toInt().toString();
|
| + }
|
| + }
|
| +
|
| + String id;
|
| + String desc;
|
| + List<BlockSample> warmup;
|
| + List<BlockSample> results;
|
| +}
|
| +
|
| +class Runner {
|
| + static bool runTest(String testId) {
|
| + Options opts = new Options();
|
| + return opts.arguments.length == 0 ||
|
| + opts.arguments.some(_(String id) => id == testId);
|
| + }
|
| +}
|
| +
|
| +/**
|
| + * Run traditional blocking-style tests. Tests may be run a specified number
|
| + * of times, or they can be run based on performance to estimate a particular
|
| + * duration.
|
| + */
|
| +class BenchmarkRunner extends Runner {
|
| + static void runCount(String id, String desc, CountTestConfig config,
|
| + Function test) {
|
| + if (runTest(id)) {
|
| + List<BlockSample> warmupSamples = _runTests(test, config._warmup, 1);
|
| + List<BlockSample> resultSamples = _runTests(test, config._reps, 1);
|
| + config.reportHandler(
|
| + new TestReport(id, desc, warmupSamples, resultSamples));
|
| + }
|
| + }
|
| +
|
| + static void runTimed(String id, String desc, TimedTestConfig config,
|
| + Function test) {
|
| + if (runTest(id)) {
|
| + List<BlockSample> warmupSamples = _runTests(test, config._warmup, 1);
|
| + PerformanceModel model = _calibrate(config._minSampleTimeMs, 16, test);
|
| + int reps = model.repsFor(1E6 * config._targetTimeMs, config._blocksize);
|
| + int blocksize = config._blocksize < 0 ? reps : config._blocksize;
|
| + List<BlockSample> resultSamples = _runTests(test, reps, blocksize);
|
| + config.reportHandler(
|
| + new TestReport(id, desc, warmupSamples, resultSamples));
|
| + }
|
| + }
|
| +
|
| + static PerformanceModel _calibrate(int minSampleTimeMs, int maxAttempts,
|
| + Function test) {
|
| + PerformanceModel model;
|
| + int i = 0;
|
| + do {
|
| + model = _buildPerformanceModel(minSampleTimeMs, test);
|
| + i++;
|
| + } while (i < maxAttempts && !model.isValid());
|
| + return model;
|
| + }
|
| +
|
| + static PerformanceModel _buildPerformanceModel(
|
| + int minSampleTimeMs, Function test) {
|
| + int iterations = 1;
|
| + List<BlockSample> calibrationResults = [];
|
| + BlockSample calibration = _execBlock(test, iterations);
|
| + calibrationResults.add(calibration);
|
| + while (calibration.durationNanos < (1E6 * minSampleTimeMs)) {
|
| + iterations *= 2;
|
| + calibration = _execBlock(test, iterations);
|
| + calibrationResults.add(calibration);
|
| + }
|
| + return new PerformanceModel.calculate(calibrationResults);
|
| + }
|
| +
|
| + static List<BlockSample> _runTests(Function test, int count, int blocksize) {
|
| + List<BlockSample> samples = [];
|
| + for (int rem = count; rem > 0; rem -= blocksize) {
|
| + BlockSample bs = _execBlock(test, Math.min(blocksize, rem));
|
| + samples.add(bs);
|
| + }
|
| + return samples;
|
| + }
|
| +
|
| + static BlockSample _execBlock(Function test, int count) {
|
| + Stopwatch s = new Stopwatch();
|
| + s.start();
|
| + for (int i = 0; i < count; i++) {
|
| + test();
|
| + }
|
| + s.stop();
|
| + return new BlockSample(count, s.elapsedInUs() * 1000);
|
| + }
|
| +}
|
| +
|
| +/**
|
| + * Define CPSTest type.
|
| + */
|
| +typedef void CPSTest(Function continuation);
|
| +
|
| +typedef void ReportHandler(TestReport r);
|
| +
|
| +/**
|
| + * Run non-blocking-style using Continuation Passing Style callbacks. Tests may
|
| + * be run a specified number of times, or they can be run based on performance
|
| + * to estimate a particular duration.
|
| + */
|
| +class CPSBenchmarkRunner extends Runner {
|
| +
|
| + CPSBenchmarkRunner(): _cpsTests = [];
|
| +
|
| + void addTest(CPSTest test) {
|
| + _cpsTests.add(test);
|
| + }
|
| +
|
| + void runTests([int index = 0, Function continuation = null]) {
|
| + if (index < _cpsTests.length) {
|
| + _cpsTests[index](_(){
|
| + _addToEventQueue(_() => runTests(index + 1, continuation));
|
| + });
|
| + } else {
|
| + if (null != continuation) {
|
| + _addToEventQueue(_() => continuation());
|
| + }
|
| + }
|
| + }
|
| +
|
| + List<CPSTest> _cpsTests;
|
| +
|
| + static void runCount(String id, String desc, CountTestConfig config,
|
| + CPSTest test, void continuation()) {
|
| + if (runTest(id)) {
|
| + _runTests(test, config._warmup, 1, (List<BlockSample> warmupSamples){
|
| + int blocksize =
|
| + config._blocksize <= 0 ? config._reps : config._blocksize;
|
| + _runTests(test, config._reps, blocksize,
|
| + _(List<BlockSample> resultSamples) {
|
| + config.reportHandler(
|
| + new TestReport(id, desc, warmupSamples, resultSamples));
|
| + continuation();
|
| + });
|
| + });
|
| + } else {
|
| + continuation();
|
| + }
|
| + }
|
| +
|
| + static void runTimed(String id, String desc, TimedTestConfig config,
|
| + CPSTest test, void continuation()) {
|
| + if (runTest(id)) {
|
| + _runTests(test, config._warmup, 1, (List<BlockSample> warmupSamples){
|
| + _calibrate(config._minSampleTimeMs, 5, test, (PerformanceModel model){
|
| + int reps =
|
| + model.repsFor(1E6 * config._targetTimeMs, config._blocksize);
|
| + int blocksize =
|
| + config._blocksize <= 0 ? reps : config._blocksize;
|
| + _runTests(test, reps, blocksize, (List<BlockSample> results) {
|
| + config.reportHandler(
|
| + new TestReport(id, desc, warmupSamples, results));
|
| + continuation();
|
| + });
|
| + });
|
| + });
|
| + } else {
|
| + continuation();
|
| + }
|
| + }
|
| +
|
| + static void nextTest(Function testLoop, int iteration) {
|
| + _addToEventQueue(() => testLoop(iteration + 1));
|
| + }
|
| +
|
| + static void _calibrate(int minSampleTimeMs, int maxAttempts,
|
| + CPSTest test, void continuation(PerformanceModel model)) {
|
| + _buildPerformanceModel(minSampleTimeMs, test, (PerformanceModel model){
|
| + if (maxAttempts > 1 && !model.isValid()) {
|
| + _calibrate(minSampleTimeMs, maxAttempts - 1, test, continuation);
|
| + } else {
|
| + continuation(model);
|
| + }
|
| + });
|
| + }
|
| +
|
| + static void _buildPerformanceModel(
|
| + int minSampleTimeMs, CPSTest test, void continuation(PerformanceModel m),
|
| + [int iterations = 1, List<BlockSample> calibrationResults = null]) {
|
| + List<BlockSample> _calibrationResults =
|
| + null == calibrationResults ? [] : calibrationResults;
|
| + _runTests(test, iterations, 1000, (List<BlockSample> calibration) {
|
| + _calibrationResults.addAll(calibration);
|
| + if (BlockSample._totalTime(calibration) < (1E6 * minSampleTimeMs)) {
|
| + _buildPerformanceModel(minSampleTimeMs, test, continuation,
|
| + iterations: iterations * 2,
|
| + calibrationResults: _calibrationResults);
|
| + } else {
|
| + PerformanceModel model =
|
| + new PerformanceModel.calculate(_calibrationResults);
|
| + continuation(model);
|
| + }
|
| + });
|
| + }
|
| +
|
| + static void _runTests(CPSTest test, int reps, int blocksize,
|
| + void continuation(List<BlockSample> samples),
|
| + [List<BlockSample> samples = null]) {
|
| + List<BlockSample> localSamples = (null == samples) ? [] : samples;
|
| + if (reps > 0) {
|
| + int blockCount = Math.min(blocksize, reps);
|
| + _execBlock(test, blockCount, (BlockSample sample){
|
| + localSamples.add(sample);
|
| + _addToEventQueue(() =>
|
| + _runTests(test, reps - blockCount, blocksize,
|
| + continuation, localSamples));
|
| + });
|
| + } else {
|
| + continuation(localSamples);
|
| + }
|
| + }
|
| +
|
| + static void _execBlock(CPSTest test, int count,
|
| + void continuation(BlockSample sample)) {
|
| + Stopwatch s = new Stopwatch();
|
| + s.start();
|
| + _innerLoop(test, count, () {
|
| + s.stop();
|
| + continuation(new BlockSample(count, s.elapsedInUs() * 1000));
|
| + });
|
| + }
|
| +
|
| + static void _innerLoop(CPSTest test, int remainingCount,
|
| + Function continuation) {
|
| + if (remainingCount > 1) {
|
| + test(() => _innerLoop(test, remainingCount - 1, continuation));
|
| + } else {
|
| + continuation();
|
| + }
|
| + }
|
| +
|
| + static void _addToEventQueue(Function action) {
|
| + new Timer(_(Timer t) => action(), 0);
|
| + }
|
| +}
|
| +
|
| +class CountTestConfig {
|
| + CountTestConfig(int this._warmup, int this._reps,
|
| + [int blocksize = -1, ReportHandler reportHandler = null]) {
|
| + this._blocksize = blocksize;
|
| + this._reportHandler = (null == reportHandler) ?
|
| + _(TestReport r) => r.printReport() : reportHandler;
|
| + }
|
| +
|
| + Function _reportHandler;
|
| + Function get reportHandler() => _reportHandler;
|
| + int _warmup;
|
| + int _reps;
|
| + int _blocksize;
|
| +}
|
| +
|
| +class TimedTestConfig {
|
| + TimedTestConfig(int this._warmup, int this._targetTimeMs,
|
| + [int minSampleTimeMs = 100, int blocksize = -1,
|
| + ReportHandler reportHandler = null]) :
|
| + this._minSampleTimeMs = minSampleTimeMs,
|
| + this._blocksize = blocksize {
|
| + this._reportHandler = (null == reportHandler) ?
|
| + _(TestReport r) => r.printReport() : reportHandler;
|
| + }
|
| +
|
| + Function _reportHandler;
|
| + Function get reportHandler() => _reportHandler;
|
| + int _warmup;
|
| + int _targetTimeMs;
|
| + int _minSampleTimeMs;
|
| + int _blocksize;
|
| +}
|
|
|