// Copyright (c) Six Labors. // Licensed under the Apache License, Version 2.0. using System; using SixLabors.ImageSharp.Tests.Formats.Jpg; using SixLabors.ImageSharp.Tests.PixelFormats.PixelOperations; using SixLabors.ImageSharp.Tests.ProfilingBenchmarks; using Xunit.Abstractions; // in this file, comments are used for disabling stuff for local execution #pragma warning disable SA1515 #pragma warning disable SA1512 namespace SixLabors.ImageSharp.Tests.ProfilingSandbox { public class Program { private class ConsoleOutput : ITestOutputHelper { public void WriteLine(string message) => Console.WriteLine(message); public void WriteLine(string format, params object[] args) => Console.WriteLine(format, args); } /// /// The main entry point. Useful for executing benchmarks and performance unit tests manually, /// when the IDE test runners lack some of the functionality. Eg.: it's not possible to run JetBrains memory profiler for unit tests. /// /// /// The arguments to pass to the program. /// public static void Main(string[] args) { LoadResizeSaveParallelMemoryStress.Run(); // RunJpegEncoderProfilingTests(); // RunJpegColorProfilingTests(); // RunDecodeJpegProfilingTests(); // RunToVector4ProfilingTest(); // RunResizeProfilingTest(); // Console.ReadLine(); } private static void RunJpegEncoderProfilingTests() { var benchmarks = new JpegProfilingBenchmarks(new ConsoleOutput()); benchmarks.EncodeJpeg_SingleMidSize(); } private static void RunJpegColorProfilingTests() { new JpegColorConverterTests(new ConsoleOutput()).BenchmarkYCbCr(false); new JpegColorConverterTests(new ConsoleOutput()).BenchmarkYCbCr(true); } private static void RunResizeProfilingTest() { var test = new ResizeProfilingBenchmarks(new ConsoleOutput()); test.ResizeBicubic(4000, 4000); } private static void RunToVector4ProfilingTest() { var tests = new PixelOperationsTests.Rgba32_OperationsTests(new ConsoleOutput()); tests.Benchmark_ToVector4(); } private static void RunDecodeJpegProfilingTests() { Console.WriteLine("RunDecodeJpegProfilingTests..."); var benchmarks = new JpegProfilingBenchmarks(new ConsoleOutput()); foreach (object[] data in JpegProfilingBenchmarks.DecodeJpegData) { string fileName = (string)data[0]; int executionCount = (int)data[1]; benchmarks.DecodeJpeg(fileName, executionCount); } Console.WriteLine("DONE."); } } }