using System; using System.IO; using System.Text; using SixLabors.ImageSharp.PixelFormats; using SixLabors.ImageSharp.Processing; using SixLabors.ImageSharp.Processing.Processors.Transforms; using SixLabors.Primitives; using Xunit; using Xunit.Abstractions; namespace SixLabors.ImageSharp.Tests.Processing.Processors.Transforms { public class KernelMapTests { private ITestOutputHelper Output { get; } public KernelMapTests(ITestOutputHelper output) { this.Output = output; } [Theory] [InlineData(500, 200, nameof(KnownResamplers.Bicubic))] [InlineData(50, 40, nameof(KnownResamplers.Bicubic))] [InlineData(40, 30, nameof(KnownResamplers.Bicubic))] [InlineData(15, 10, nameof(KnownResamplers.Bicubic))] [InlineData(500, 200, nameof(KnownResamplers.Lanczos8))] [InlineData(100, 80, nameof(KnownResamplers.Lanczos8))] [InlineData(100, 10, nameof(KnownResamplers.Lanczos8))] [InlineData(10, 100, nameof(KnownResamplers.Lanczos8))] public void PrintKernelMap(int srcSize, int destSize, string resamplerName) { var resampler = (IResampler)typeof(KnownResamplers).GetProperty(resamplerName).GetValue(null); var kernelMap = KernelMap.Calculate(resampler, destSize, srcSize, Configuration.Default.MemoryAllocator); var bld = new StringBuilder(); foreach (ResizeKernel kernel in kernelMap.Kernels) { bld.Append($"({kernel.Left:D3}) || "); Span span = kernel.GetValues(); for (int i = 0; i < kernel.Length; i++) { float value = span[i]; bld.Append($"{value,7:F5}"); bld.Append(" | "); } bld.AppendLine(); } string outDir = TestEnvironment.CreateOutputDirectory("." + nameof(this.PrintKernelMap)); string fileName = $@"{outDir}\{resamplerName}_{srcSize}_{destSize}.MD"; File.WriteAllText(fileName, bld.ToString()); this.Output.WriteLine(bld.ToString()); } } }