📷 A modern, cross-platform, 2D Graphics library for .NET
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 

161 lines
5.3 KiB

// <copyright file="GeneralFormatTests.cs" company="James Jackson-South">
// Copyright (c) James Jackson-South and contributors.
// Licensed under the Apache License, Version 2.0.
// </copyright>
namespace ImageSharp.Tests
{
using System.IO;
using Xunit;
public class GeneralFormatTests : FileTestBase
{
[Fact]
public void ResolutionShouldChange()
{
string path = this.CreateOutputDirectory("Resolution");
foreach (TestFile file in Files)
{
using (Image image = file.CreateImage())
{
using (FileStream output = File.OpenWrite($"{path}/{file.FileName}"))
{
image.MetaData.VerticalResolution = 150;
image.MetaData.HorizontalResolution = 150;
image.Save(output);
}
}
}
}
[Fact]
public void ImageCanEncodeToString()
{
string path = this.CreateOutputDirectory("ToString");
foreach (TestFile file in Files)
{
using (Image image = file.CreateImage())
{
string filename = path + "/" + file.FileNameWithoutExtension + ".txt";
File.WriteAllText(filename, image.ToBase64String());
}
}
}
[Fact]
public void DecodeThenEncodeImageFromStreamShouldSucceed()
{
string path = this.CreateOutputDirectory("Encode");
foreach (TestFile file in Files)
{
using (Image image = file.CreateImage())
{
using (FileStream output = File.OpenWrite($"{path}/{file.FileName}"))
{
image.Save(output);
}
}
}
}
[Fact]
public void QuantizeImageShouldPreserveMaximumColorPrecision()
{
string path = this.CreateOutputDirectory("Quantize");
foreach (TestFile file in Files)
{
using (Image srcImage = file.CreateImage())
{
using (Image image = new Image(srcImage))
{
using (FileStream output = File.OpenWrite($"{path}/Octree-{file.FileName}"))
{
image.Quantize(Quantization.Octree)
.Save(output, image.CurrentImageFormat);
}
}
using (Image image = new Image(srcImage))
{
using (FileStream output = File.OpenWrite($"{path}/Wu-{file.FileName}"))
{
image.Quantize(Quantization.Wu)
.Save(output, image.CurrentImageFormat);
}
}
using (Image image = new Image(srcImage))
{
using (FileStream output = File.OpenWrite($"{path}/Palette-{file.FileName}"))
{
image.Quantize(Quantization.Palette)
.Save(output, image.CurrentImageFormat);
}
}
}
}
}
[Fact]
public void ImageCanConvertFormat()
{
string path = this.CreateOutputDirectory("Format");
foreach (TestFile file in Files)
{
using (Image image = file.CreateImage())
{
using (FileStream output = File.OpenWrite($"{path}/{file.FileNameWithoutExtension}.bmp"))
{
image.SaveAsBmp(output);
}
using (FileStream output = File.OpenWrite($"{path}/{file.FileNameWithoutExtension}.jpg"))
{
image.SaveAsJpeg(output);
}
using (FileStream output = File.OpenWrite($"{path}/{file.FileNameWithoutExtension}.png"))
{
image.SaveAsPng(output);
}
using (FileStream output = File.OpenWrite($"{path}/{file.FileNameWithoutExtension}.gif"))
{
image.SaveAsGif(output);
}
}
}
}
[Fact]
public void ImageShouldPreservePixelByteOrderWhenSerialized()
{
string path = this.CreateOutputDirectory("Serialized");
foreach (TestFile file in Files)
{
byte[] serialized;
using (Image image = file.CreateImage())
using (MemoryStream memoryStream = new MemoryStream())
{
image.Save(memoryStream);
memoryStream.Flush();
serialized = memoryStream.ToArray();
}
using (Image image2 = Image.Load(serialized))
using (FileStream output = File.OpenWrite($"{path}/{file.FileName}"))
{
image2.Save(output);
}
}
}
}
}