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309 lines
8.4 KiB
309 lines
8.4 KiB
// Copyright (c) Six Labors.
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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 NumericsTests
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{
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private delegate void SpanAction<T, in TArg, in TArg1>(Span<T> span, TArg arg, TArg1 arg1);
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private readonly ApproximateFloatComparer approximateFloatComparer = new ApproximateFloatComparer(1e-6f);
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[Theory]
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[InlineData(0)]
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[InlineData(1)]
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[InlineData(2)]
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[InlineData(3)]
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[InlineData(4)]
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[InlineData(100)]
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[InlineData(123)]
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[InlineData(53436353)]
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public void Modulo2(int x)
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{
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int actual = Numerics.Modulo2(x);
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Assert.Equal(x % 2, actual);
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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(2)]
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[InlineData(3)]
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[InlineData(4)]
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[InlineData(100)]
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[InlineData(123)]
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[InlineData(53436353)]
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public void Modulo4(int x)
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{
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int actual = Numerics.Modulo4(x);
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Assert.Equal(x % 4, actual);
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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(2)]
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[InlineData(6)]
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[InlineData(7)]
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[InlineData(8)]
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[InlineData(100)]
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[InlineData(123)]
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[InlineData(53436353)]
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[InlineData(975)]
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public void Modulo8(int x)
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{
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int actual = Numerics.Modulo8(x);
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Assert.Equal(x % 8, actual);
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}
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[Theory]
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[InlineData(0, 2)]
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[InlineData(1, 2)]
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[InlineData(2, 2)]
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[InlineData(0, 4)]
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[InlineData(3, 4)]
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[InlineData(5, 4)]
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[InlineData(5, 8)]
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[InlineData(8, 8)]
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[InlineData(8, 16)]
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[InlineData(15, 16)]
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[InlineData(17, 16)]
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[InlineData(17, 32)]
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[InlineData(31, 32)]
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[InlineData(32, 32)]
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[InlineData(33, 32)]
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public void Modulo2P(int x, int m)
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{
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int actual = Numerics.ModuloP2(x, m);
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Assert.Equal(x % m, actual);
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}
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[Theory]
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[InlineData(-5)]
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[InlineData(-17)]
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[InlineData(-12856)]
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[InlineData(-32)]
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[InlineData(-7425)]
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[InlineData(5)]
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[InlineData(17)]
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[InlineData(12856)]
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[InlineData(32)]
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[InlineData(7425)]
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public void Abs(int x)
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{
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int expected = Math.Abs(x);
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Assert.Equal(expected, Numerics.Abs(x));
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}
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[Theory]
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[InlineData(-5)]
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[InlineData(-17)]
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[InlineData(-12856)]
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[InlineData(-32)]
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[InlineData(-7425)]
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[InlineData(5)]
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[InlineData(17)]
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[InlineData(12856)]
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[InlineData(32)]
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[InlineData(7425)]
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public void Pow2(float x)
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{
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float expected = (float)Math.Pow(x, 2);
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Assert.Equal(expected, Numerics.Pow2(x));
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}
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[Theory]
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[InlineData(-5)]
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[InlineData(-17)]
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[InlineData(-12856)]
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[InlineData(-32)]
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[InlineData(5)]
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[InlineData(17)]
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[InlineData(12856)]
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[InlineData(32)]
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public void Pow3(float x)
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{
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float expected = (float)Math.Pow(x, 3);
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Assert.Equal(expected, Numerics.Pow3(x));
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}
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[Theory]
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[InlineData(1, 1, 1)]
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[InlineData(1, 42, 1)]
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[InlineData(10, 8, 2)]
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[InlineData(12, 18, 6)]
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[InlineData(4536, 1000, 8)]
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[InlineData(1600, 1024, 64)]
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public void GreatestCommonDivisor(int a, int b, int expected)
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{
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int actual = Numerics.GreatestCommonDivisor(a, b);
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Assert.Equal(expected, actual);
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}
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[Theory]
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[InlineData(1, 1, 1)]
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[InlineData(1, 42, 42)]
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[InlineData(3, 4, 12)]
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[InlineData(6, 4, 12)]
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[InlineData(1600, 1024, 25600)]
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[InlineData(3264, 100, 81600)]
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public void LeastCommonMultiple(int a, int b, int expected)
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{
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int actual = Numerics.LeastCommonMultiple(a, b);
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Assert.Equal(expected, actual);
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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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[InlineData(63)]
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public void PremultiplyVectorSpan(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 =>
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{
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Numerics.Premultiply(ref v);
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return v;
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}).ToArray();
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Numerics.Premultiply(source);
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Assert.Equal(expected, source, this.approximateFloatComparer);
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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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[InlineData(63)]
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public void UnPremultiplyVectorSpan(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 =>
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{
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Numerics.UnPremultiply(ref v);
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return v;
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}).ToArray();
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Numerics.UnPremultiply(source);
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Assert.Equal(expected, source, this.approximateFloatComparer);
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}
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[Theory]
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[InlineData(64, 36, 96)]
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[InlineData(128, 16, 196)]
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[InlineData(567, 18, 142)]
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[InlineData(1024, 0, 255)]
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public void ClampByte(int length, byte min, byte max)
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{
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TestClampSpan(
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length,
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min,
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max,
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(s, m1, m2) => Numerics.Clamp(s, m1, m2),
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(v, m1, m2) => Numerics.Clamp(v, m1, m2));
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}
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[Theory]
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[InlineData(64, 36, 96)]
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[InlineData(128, 16, 196)]
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[InlineData(567, 18, 142)]
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[InlineData(1024, 0, 255)]
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public void ClampInt(int length, int min, int max)
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{
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TestClampSpan(
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length,
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min,
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max,
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(s, m1, m2) => Numerics.Clamp(s, m1, m2),
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(v, m1, m2) => Numerics.Clamp(v, m1, m2));
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}
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[Theory]
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[InlineData(64, 36, 96)]
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[InlineData(128, 16, 196)]
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[InlineData(567, 18, 142)]
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[InlineData(1024, 0, 255)]
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public void ClampUInt(int length, uint min, uint max)
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{
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TestClampSpan(
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length,
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min,
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max,
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(s, m1, m2) => Numerics.Clamp(s, m1, m2),
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(v, m1, m2) => Numerics.Clamp(v, m1, m2));
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}
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[Theory]
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[InlineData(64, 36, 96)]
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[InlineData(128, 16, 196)]
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[InlineData(567, 18, 142)]
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[InlineData(1024, 0, 255)]
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public void ClampFloat(int length, float min, float max)
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{
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TestClampSpan(
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length,
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min,
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max,
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(s, m1, m2) => Numerics.Clamp(s, m1, m2),
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(v, m1, m2) => Numerics.Clamp(v, m1, m2));
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}
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[Theory]
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[InlineData(64, 36, 96)]
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[InlineData(128, 16, 196)]
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[InlineData(567, 18, 142)]
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[InlineData(1024, 0, 255)]
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public void ClampDouble(int length, double min, double max)
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{
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TestClampSpan(
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length,
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min,
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max,
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(s, m1, m2) => Numerics.Clamp(s, m1, m2),
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(v, m1, m2) => Numerics.Clamp(v, m1, m2));
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}
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private static void TestClampSpan<T>(
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int length,
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T min,
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T max,
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SpanAction<T, T, T> clampAction,
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Func<T, T, T, T> refClampFunc)
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where T : unmanaged, IComparable<T>
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{
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Span<T> actual = new T[length];
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var r = new Random();
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for (int i = 0; i < length; i++)
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{
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actual[i] = (T)Convert.ChangeType(r.Next(byte.MinValue, byte.MaxValue), typeof(T));
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}
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Span<T> expected = new T[length];
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actual.CopyTo(expected);
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for (int i = 0; i < expected.Length; i++)
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{
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ref T v = ref expected[i];
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v = refClampFunc(v, min, max);
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}
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clampAction(actual, min, max);
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for (int i = 0; i < expected.Length; i++)
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{
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Assert.Equal(expected[i], actual[i]);
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}
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}
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}
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}
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