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76 lines
2.2 KiB
76 lines
2.2 KiB
// Copyright (c) Six Labors and contributors.
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// Licensed under the Apache License, Version 2.0.
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using System;
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using System.Linq;
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using System.Numerics;
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using Xunit;
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namespace SixLabors.ImageSharp.Tests.Helpers
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{
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public class Vector4ExtensionsTests
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{
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[Theory]
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[InlineData(0)]
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[InlineData(1)]
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[InlineData(30)]
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public void Premultiply_VectorSpan(int length)
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{
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var rnd = new Random(42);
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Vector4[] source = rnd.GenerateRandomVectorArray(length, 0, 1);
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Vector4[] expected = source.Select(v => v.Premultiply()).ToArray();
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Vector4Extensions.Premultiply(source);
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Assert.Equal(expected, source, new ApproximateFloatComparer(1e-6f));
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}
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[Theory]
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[InlineData(0)]
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[InlineData(1)]
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[InlineData(30)]
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public void UnPremultiply_VectorSpan(int length)
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{
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var rnd = new Random(42);
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Vector4[] source = rnd.GenerateRandomVectorArray(length, 0, 1);
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Vector4[] expected = source.Select(v => v.UnPremultiply()).ToArray();
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Vector4Extensions.UnPremultiply(source);
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Assert.Equal(expected, source, new ApproximateFloatComparer(1e-6f));
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}
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[Theory]
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[InlineData(0)]
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[InlineData(1)]
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[InlineData(30)]
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public void Expand_VectorSpan(int length)
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{
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var rnd = new Random(42);
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Vector4[] source = rnd.GenerateRandomVectorArray(length, 0, 1);
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Vector4[] expected = source.Select(v => v.Expand()).ToArray();
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Vector4Extensions.Expand(source);
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Assert.Equal(expected, source, new ApproximateFloatComparer(1e-6f));
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}
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[Theory]
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[InlineData(0)]
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[InlineData(1)]
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[InlineData(30)]
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public void Compress_VectorSpan(int length)
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{
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var rnd = new Random(42);
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Vector4[] source = rnd.GenerateRandomVectorArray(length, 0, 1);
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Vector4[] expected = source.Select(v => v.Compress()).ToArray();
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Vector4Extensions.Compress(source);
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Assert.Equal(expected, source, new ApproximateFloatComparer(1e-6f));
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}
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}
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}
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