📷 A modern, cross-platform, 2D Graphics library for .NET
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// Copyright (c) Six Labors and contributors.
// Licensed under the Apache License, Version 2.0.
using System.Linq;
using SixLabors.ImageSharp.PixelFormats;
using SixLabors.ImageSharp.Processing;
using SixLabors.ImageSharp.Processing.Drawing;
using SixLabors.ImageSharp.Processing.Drawing.Brushes.GradientBrushes;
using Xunit;
namespace SixLabors.ImageSharp.Tests.Drawing
{
public class FillLinearGradientBrushTests : FileTestBase
{
[Fact]
public void LinearGradientBrushWithEqualColorsReturnsUnicolorImage()
{
string path = TestEnvironment.CreateOutputDirectory("Fill", "LinearGradientBrush");
using (var image = new Image<Rgba32>(10, 10))
{
LinearGradientBrush<Rgba32> unicolorLinearGradientBrush =
new LinearGradientBrush<Rgba32>(
new SixLabors.Primitives.Point(0, 0),
new SixLabors.Primitives.Point(10, 0),
new ColorStop<Rgba32>(0, Rgba32.Red),
new ColorStop<Rgba32>(1, Rgba32.Red));
image.Mutate(x => x.Fill(unicolorLinearGradientBrush));
image.Save($"{path}/UnicolorGradient.png");
using (PixelAccessor<Rgba32> sourcePixels = image.Lock())
{
Assert.Equal(Rgba32.Red, sourcePixels[0, 0]);
Assert.Equal(Rgba32.Red, sourcePixels[9, 9]);
Assert.Equal(Rgba32.Red, sourcePixels[5, 5]);
Assert.Equal(Rgba32.Red, sourcePixels[3, 8]);
}
}
}
[Fact]
public void HorizontalLinearGradientBrushReturnsUnicolorColumns()
{
int width = 500;
int height = 10;
int lastColumnIndex = width - 1;
string path = TestEnvironment.CreateOutputDirectory("Fill", "LinearGradientBrush");
using (var image = new Image<Rgba32>(width, height))
{
LinearGradientBrush<Rgba32> unicolorLinearGradientBrush =
new LinearGradientBrush<Rgba32>(
new SixLabors.Primitives.Point(0, 0),
new SixLabors.Primitives.Point(500, 0),
new ColorStop<Rgba32>(0, Rgba32.Red),
new ColorStop<Rgba32>(1, Rgba32.Yellow));
image.Mutate(x => x.Fill(unicolorLinearGradientBrush));
image.Save($"{path}/horizontalRedToYellow.png");
using (PixelAccessor<Rgba32> sourcePixels = image.Lock())
{
Rgba32 columnColor0 = sourcePixels[0, 0];
Rgba32 columnColor23 = sourcePixels[23, 0];
Rgba32 columnColor42 = sourcePixels[42, 0];
Rgba32 columnColor333 = sourcePixels[333, 0];
Rgba32 lastColumnColor = sourcePixels[lastColumnIndex, 0];
for (int i = 0; i < height; i++)
{
// check first and last column:
Assert.Equal(columnColor0, sourcePixels[0, i]);
Assert.Equal(lastColumnColor, sourcePixels[lastColumnIndex, i]);
// check the random colors:
Assert.True(columnColor23 == sourcePixels[23, i], $"at {i}");
Assert.Equal(columnColor42, sourcePixels[42, i]);
Assert.Equal(columnColor333, sourcePixels[333, i]);
}
}
}
}
[Theory]
[InlineData(new[] { 0.5f })]
[InlineData(new[] { 0.2f, 0.4f, 0.6f, 0.8f })]
[InlineData(new[] { 0.1f, 0.3f, 0.6f })]
public void LinearGradientsWithDoubledStopsProduceDashedPatterns(
float[] pattern)
{
int width = 200;
int height = 10;
// ensure the input data is valid
Assert.True(pattern.Length > 0);
// create the input pattern: 0, followed by each of the arguments twice, followed by 1.0 - toggling black and white.
ColorStop<Rgba32>[] colorStops =
Enumerable.Repeat(new ColorStop<Rgba32>(0, Rgba32.Black), 1)
.Concat(
pattern
.SelectMany((f, index) => new[]
{
new ColorStop<Rgba32>(f, index % 2 == 0 ? Rgba32.Black : Rgba32.White),
new ColorStop<Rgba32>(f, index % 2 == 0 ? Rgba32.White : Rgba32.Black)
}))
.Concat(Enumerable.Repeat(new ColorStop<Rgba32>(1, pattern.Length % 2 == 0 ? Rgba32.Black : Rgba32.White), 1))
.ToArray();
string path = TestEnvironment.CreateOutputDirectory("Fill", "LinearGradientBrush");
using (var image = new Image<Rgba32>(width, height))
{
LinearGradientBrush<Rgba32> unicolorLinearGradientBrush =
new LinearGradientBrush<Rgba32>(
new SixLabors.Primitives.Point(0, 0),
new SixLabors.Primitives.Point(width, 0),
colorStops);
image.Mutate(x => x.Fill(unicolorLinearGradientBrush));
image.Save($"{path}/blackAndWhite{pattern[0]}.png");
using (PixelAccessor<Rgba32> sourcePixels = image.Lock())
{
// the result must be a black and white pattern, no other color should occur:
Assert.All(
Enumerable.Range(0, width).Select(i => sourcePixels[i, 0]),
color => Assert.True(color == Rgba32.Black || color == Rgba32.White));
}
}
}
[Fact]
public void VerticalLinearGradientBrushReturnsUnicolorColumns()
{
int width = 10;
int height = 500;
int lastRowIndex = height - 1;
string path = TestEnvironment.CreateOutputDirectory("Fill", "LinearGradientBrush");
using (var image = new Image<Rgba32>(width, height))
{
LinearGradientBrush<Rgba32> unicolorLinearGradientBrush =
new LinearGradientBrush<Rgba32>(
new SixLabors.Primitives.Point(0, 0),
new SixLabors.Primitives.Point(0, 500),
new ColorStop<Rgba32>(0, Rgba32.Red),
new ColorStop<Rgba32>(1, Rgba32.Yellow));
image.Mutate(x => x.Fill(unicolorLinearGradientBrush));
image.Save($"{path}/verticalRedToYellow.png");
using (PixelAccessor<Rgba32> sourcePixels = image.Lock())
{
Rgba32 firstRowColor = sourcePixels[0, 0];
Rgba32 columnColor23 = sourcePixels[0, 23];
Rgba32 columnColor42 = sourcePixels[0, 42];
Rgba32 columnColor333 = sourcePixels[0, 333];
Rgba32 lastRowColor = sourcePixels[0, lastRowIndex];
for (int i = 0; i < width; i++)
{
// check first and last column, these are known:
Assert.Equal(firstRowColor, sourcePixels[i, 0]);
Assert.Equal(lastRowColor, sourcePixels[i, lastRowIndex]);
// check the random colors:
Assert.Equal(columnColor23, sourcePixels[i, 23]);
Assert.Equal(columnColor42, sourcePixels[i, 42]);
Assert.Equal(columnColor333, sourcePixels[i, 333]);
}
}
}
}
[Theory]
[InlineData(0, 0, 499, 499)]
[InlineData(0, 499, 499, 0)]
[InlineData(499, 499, 0, 0)]
[InlineData(499, 0, 0, 499)]
public void DiagonalLinearGradientBrushReturnsUnicolorColumns(
int startX, int startY, int endX, int endY)
{
int size = 500;
string path = TestEnvironment.CreateOutputDirectory("Fill", "LinearGradientBrush");
using (var image = new Image<Rgba32>(size, size))
{
LinearGradientBrush<Rgba32> unicolorLinearGradientBrush =
new LinearGradientBrush<Rgba32>(
new SixLabors.Primitives.Point(startX, startY),
new SixLabors.Primitives.Point(endX, endY),
new ColorStop<Rgba32>(0, Rgba32.Red),
new ColorStop<Rgba32>(1, Rgba32.Yellow));
image.Mutate(x => x.Fill(unicolorLinearGradientBrush));
image.Save($"{path}/diagonalRedToYellowFrom{startX}_{startY}.png");
using (PixelAccessor<Rgba32> sourcePixels = image.Lock())
{
// check first and last pixel, these are known:
Assert.Equal(Rgba32.Red, sourcePixels[startX, startY]);
Assert.Equal(Rgba32.Yellow, sourcePixels[endX, endY]);
for (int i = 0; i < size; i++)
{
// it's diagonal, so for any (a, a) on the gradient line, for all (a-x, b+x) - +/- depending on the diagonal direction - must be the same color)
}
}
}
}
[Theory]
[InlineData("a", 0, 0, 499, 499, new[] { 0f, .2f, .5f, .9f }, new[] { 0, 0, 1, 1 })]
[InlineData("b", 0, 499, 499, 0, new[] { 0f, 0.2f, 0.5f, 0.9f }, new[] { 0, 1, 2, 3 })]
[InlineData("c", 499, 499, 0, 0, new[] { 0f, 0.7f, 0.8f, 0.9f}, new[] { 0, 1, 2, 0 })]
[InlineData("d", 0, 0, 499, 499, new[] { 0f, .5f, 1f}, new[]{0, 1, 3})]
public void ArbitraryLinearGradientsProduceImagesVisualCheckOnly(
string filenameSuffix,
int startX, int startY,
int endX, int endY,
float[] stopPositions,
int[] stopColorCodes)
{
var colors = new Rgba32[]
{
Rgba32.Navy,
Rgba32.LightGreen,
Rgba32.Yellow,
Rgba32.Red
};
var colorStops = new ColorStop<Rgba32>[stopPositions.Length];
for (int i = 0; i < stopPositions.Length; i++)
{
colorStops[i] = new ColorStop<Rgba32>(
stopPositions[i],
colors[stopColorCodes[i]]);
}
int size = 500;
string path = TestEnvironment.CreateOutputDirectory("Fill", "LinearGradientBrush");
using (var image = new Image<Rgba32>(size, size))
{
LinearGradientBrush<Rgba32> unicolorLinearGradientBrush =
new LinearGradientBrush<Rgba32>(
new SixLabors.Primitives.Point(startX, startY),
new SixLabors.Primitives.Point(endX, endY),
colorStops);
image.Mutate(x => x.Fill(unicolorLinearGradientBrush));
image.Save($"{path}/arbitraryGradient_{filenameSuffix}.png");
}
}
}
}