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99
FastRngTests/Double/Distributions/Beta.cs
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99
FastRngTests/Double/Distributions/Beta.cs
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using System;
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using System.Diagnostics.CodeAnalysis;
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using System.Linq;
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using System.Threading.Tasks;
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using FastRng.Double;
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using NUnit.Framework;
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namespace FastRngTests.Double.Distributions
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{
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[ExcludeFromCodeCoverage]
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public class Beta
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{
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[Test]
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[Category(TestCategories.COVER)]
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[Category(TestCategories.NORMAL)]
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public async Task TestBetaDistribution01()
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{
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const double A = 7.0;
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const double B = 2.0;
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const double MEAN = A / (A + B);
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const double VARIANCE = MEAN * (1 - MEAN) / (A + B + 1);
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var dist = new FastRng.Double.Distributions.Beta{ A = A, B = B };
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var stats = new RunningStatistics();
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var rng = new MultiThreadedRng();
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for (var n = 0; n < 100_000; n++)
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stats.Push(await rng.NextNumber(dist));
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rng.StopProducer();
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TestContext.WriteLine($"mean={MEAN} vs. {stats.Mean}");
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TestContext.WriteLine($"variance={VARIANCE} vs {stats.Variance}");
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Assert.That(stats.Mean, Is.EqualTo(MEAN).Within(0.4), "Mean is out of range");
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Assert.That(stats.Variance, Is.EqualTo(VARIANCE).Within(0.4), "Variance is out of range");
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}
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[Test]
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[Category(TestCategories.COVER)]
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[Category(TestCategories.NORMAL)]
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public async Task TestBetaGeneratorWithRange01()
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{
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var rng = new MultiThreadedRng();
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var samples = new double[1_000];
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for (var n = 0; n < samples.Length; n++)
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samples[n] = await rng.NextNumber(-1.0, 1.0, new FastRng.Double.Distributions.Beta());
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rng.StopProducer();
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Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min out of range");
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Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max out of range");
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}
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[Test]
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[Category(TestCategories.COVER)]
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[Category(TestCategories.NORMAL)]
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public async Task TestBetaGeneratorWithRange02()
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{
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var rng = new MultiThreadedRng();
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var samples = new double[1_000];
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for (var n = 0; n < samples.Length; n++)
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samples[n] = await rng.NextNumber(0.0, 1.0, new FastRng.Double.Distributions.Beta());
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rng.StopProducer();
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Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range");
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Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range");
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}
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[Test]
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[Category(TestCategories.COVER)]
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[Category(TestCategories.NORMAL)]
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public void ParameterTest01()
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{
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var dist = new FastRng.Double.Distributions.Beta();
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Assert.Throws<ArgumentOutOfRangeException>(() => dist.A = 0);
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Assert.Throws<ArgumentOutOfRangeException>(() => dist.A = -78);
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Assert.DoesNotThrow(() => dist.A = 0.0001);
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Assert.DoesNotThrow(() => dist.A = 4);
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Assert.Throws<ArgumentOutOfRangeException>(() => dist.B = 0);
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Assert.Throws<ArgumentOutOfRangeException>(() => dist.B = -78);
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Assert.DoesNotThrow(() => dist.B = 0.0001);
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Assert.DoesNotThrow(() => dist.B = 4);
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}
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[Test]
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[Category(TestCategories.COVER)]
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[Category(TestCategories.NORMAL)]
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public async Task NoRandomNumberGenerator01()
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{
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var dist = new FastRng.Double.Distributions.Beta();
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Assert.DoesNotThrowAsync(async () => await dist.GetDistributedValue());
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Assert.That(await dist.GetDistributedValue(), Is.NaN);
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}
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}
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}
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76
FastRngTests/Double/Distributions/Cauchy.cs
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76
FastRngTests/Double/Distributions/Cauchy.cs
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using System;
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using System.Diagnostics.CodeAnalysis;
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using System.Linq;
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using System.Threading.Tasks;
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using FastRng.Double;
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using NUnit.Framework;
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namespace FastRngTests.Double.Distributions
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{
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[ExcludeFromCodeCoverage]
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public class Cauchy
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{
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public void TestCauchyDistribution01()
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{
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// The properties of the cauchy distribution cannot be tested by mean, media or variance,
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// cf. https://en.wikipedia.org/wiki/Cauchy_distribution#Explanation_of_undefined_moments
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}
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[Test]
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[Category(TestCategories.COVER)]
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[Category(TestCategories.NORMAL)]
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public async Task TestCauchyGeneratorWithRange01()
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{
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var rng = new MultiThreadedRng();
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var samples = new double[1_000];
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for (var n = 0; n < samples.Length; n++)
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samples[n] = await rng.NextNumber(-1.0, 1.0, new FastRng.Double.Distributions.Cauchy());
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rng.StopProducer();
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Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min is out of range");
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Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range");
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}
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[Test]
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[Category(TestCategories.COVER)]
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[Category(TestCategories.NORMAL)]
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public async Task TestCauchyGeneratorWithRange02()
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{
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var rng = new MultiThreadedRng();
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var samples = new double[1_000];
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for (var n = 0; n < samples.Length; n++)
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samples[n] = await rng.NextNumber(0.0, 1.0, new FastRng.Double.Distributions.Cauchy());
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rng.StopProducer();
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Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range");
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Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range");
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}
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[Test]
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[Category(TestCategories.COVER)]
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[Category(TestCategories.NORMAL)]
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public void ParameterTest01()
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{
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var dist = new FastRng.Double.Distributions.Cauchy();
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Assert.Throws<ArgumentOutOfRangeException>(() => dist.Scale = 0);
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Assert.Throws<ArgumentOutOfRangeException>(() => dist.Scale = -78);
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Assert.DoesNotThrow(() => dist.Scale = 0.0001);
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Assert.DoesNotThrow(() => dist.Scale = 4);
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Assert.DoesNotThrow(() => dist.Median = -45);
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Assert.DoesNotThrow(() => dist.Median = 15);
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Assert.DoesNotThrow(() => dist.Median = 0);
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}
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[Test]
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[Category(TestCategories.COVER)]
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[Category(TestCategories.NORMAL)]
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public async Task NoRandomNumberGenerator01()
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{
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var dist = new FastRng.Double.Distributions.Cauchy();
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Assert.DoesNotThrowAsync(async () => await dist.GetDistributedValue());
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Assert.That(await dist.GetDistributedValue(), Is.NaN);
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}
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}
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}
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122
FastRngTests/Double/Distributions/Gamma.cs
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122
FastRngTests/Double/Distributions/Gamma.cs
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using System;
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using System.Diagnostics.CodeAnalysis;
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using System.Linq;
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using System.Threading.Tasks;
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using FastRng.Double;
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using NUnit.Framework;
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namespace FastRngTests.Double.Distributions
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{
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[ExcludeFromCodeCoverage]
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public class Gamma
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{
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[Test]
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[Category(TestCategories.COVER)]
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[Category(TestCategories.NORMAL)]
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public async Task TestGammaDistribution01()
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{
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const double SHAPE = 10.0;
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const double SCALE = 2.0;
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const double MEAN = SHAPE * SCALE;
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const double VARIANCE = SHAPE * SCALE * SCALE;
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var dist = new FastRng.Double.Distributions.Gamma{ Shape = SHAPE, Scale = SCALE };
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var stats = new RunningStatistics();
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var rng = new MultiThreadedRng();
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for (var n = 0; n < 100_000; n++)
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stats.Push(await rng.NextNumber(dist));
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rng.StopProducer();
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TestContext.WriteLine($"mean={MEAN} vs. {stats.Mean}");
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TestContext.WriteLine($"variance={VARIANCE} vs {stats.Variance}");
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Assert.That(stats.Mean, Is.EqualTo(MEAN).Within(0.4), "Mean is out of range");
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Assert.That(stats.Variance, Is.EqualTo(VARIANCE).Within(0.4), "Variance is out of range");
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}
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[Test]
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[Category(TestCategories.COVER)]
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[Category(TestCategories.NORMAL)]
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public async Task TestGammaDistribution02()
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{
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const double SHAPE = 0.5;
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const double SCALE = 2.0;
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const double MEAN = SHAPE * SCALE;
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const double VARIANCE = SHAPE * SCALE * SCALE;
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var dist = new FastRng.Double.Distributions.Gamma{ Shape = SHAPE, Scale = SCALE };
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var stats = new RunningStatistics();
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var rng = new MultiThreadedRng();
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for (var n = 0; n < 100_000; n++)
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stats.Push(await rng.NextNumber(dist));
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rng.StopProducer();
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TestContext.WriteLine($"mean={MEAN} vs. {stats.Mean}");
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TestContext.WriteLine($"variance={VARIANCE} vs {stats.Variance}");
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Assert.That(stats.Mean, Is.EqualTo(MEAN).Within(0.4), "Mean is out of range");
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Assert.That(stats.Variance, Is.EqualTo(VARIANCE).Within(0.4), "Variance is out of range");
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}
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[Test]
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[Category(TestCategories.COVER)]
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[Category(TestCategories.NORMAL)]
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public async Task TestGammaGeneratorWithRange01()
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{
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var rng = new MultiThreadedRng();
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var samples = new double[1_000];
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for (var n = 0; n < samples.Length; n++)
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samples[n] = await rng.NextNumber(-1.0, 1.0, new FastRng.Double.Distributions.Gamma());
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rng.StopProducer();
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Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min is out of range");
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Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range");
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}
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[Test]
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[Category(TestCategories.COVER)]
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[Category(TestCategories.NORMAL)]
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public async Task TestGammaGeneratorWithRange02()
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{
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var rng = new MultiThreadedRng();
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var samples = new double[1_000];
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for (var n = 0; n < samples.Length; n++)
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samples[n] = await rng.NextNumber(0.0, 1.0, new FastRng.Double.Distributions.Gamma());
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rng.StopProducer();
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Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range");
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Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range");
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}
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[Test]
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[Category(TestCategories.COVER)]
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[Category(TestCategories.NORMAL)]
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public void ParameterTest01()
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{
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var dist = new FastRng.Double.Distributions.Gamma();
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Assert.DoesNotThrow(() => dist.Scale = -45);
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Assert.DoesNotThrow(() => dist.Scale = 15);
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Assert.DoesNotThrow(() => dist.Scale = 0);
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Assert.Throws<ArgumentOutOfRangeException>(() => dist.Shape = 0);
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Assert.Throws<ArgumentOutOfRangeException>(() => dist.Shape = -78);
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Assert.DoesNotThrow(() => dist.Shape = 0.0001);
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Assert.DoesNotThrow(() => dist.Shape = 4);
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}
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[Test]
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[Category(TestCategories.COVER)]
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[Category(TestCategories.NORMAL)]
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public async Task NoRandomNumberGenerator01()
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{
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var dist = new FastRng.Double.Distributions.Gamma();
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Assert.DoesNotThrowAsync(async () => await dist.GetDistributedValue());
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Assert.That(await dist.GetDistributedValue(), Is.NaN);
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}
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}
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}
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90
FastRngTests/Double/Distributions/Normal.cs
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90
FastRngTests/Double/Distributions/Normal.cs
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using System;
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using System.Diagnostics.CodeAnalysis;
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using System.Linq;
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using System.Threading.Tasks;
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using FastRng.Double;
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using NUnit.Framework;
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namespace FastRngTests.Double.Distributions
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{
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[ExcludeFromCodeCoverage]
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public class Normal
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{
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public async Task TestNormalDistribution01()
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{
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const double DESIRED_MEAN = 2.0;
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const double STANDARD_DEVIATION = 5.0;
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var dist = new FastRng.Double.Distributions.Normal{ Mean = DESIRED_MEAN, StandardDeviation = STANDARD_DEVIATION };
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var stats = new RunningStatistics();
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var rng = new MultiThreadedRng();
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for (var n = 0; n < 100_000; n++)
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stats.Push(await rng.NextNumber(dist));
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rng.StopProducer();
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TestContext.WriteLine($"mean={DESIRED_MEAN} vs. {stats.Mean}");
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TestContext.WriteLine($"variance={STANDARD_DEVIATION * STANDARD_DEVIATION} vs {stats.Variance}");
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Assert.That(stats.Mean, Is.EqualTo(DESIRED_MEAN).Within(0.4), "Mean is out of range");
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Assert.That(stats.Variance, Is.EqualTo(STANDARD_DEVIATION*STANDARD_DEVIATION).Within(0.4), "Variance is out of range");
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}
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[Test]
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[Category(TestCategories.COVER)]
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[Category(TestCategories.NORMAL)]
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public async Task TestNormalGeneratorWithRange01()
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{
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var rng = new MultiThreadedRng();
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var samples = new double[1_000];
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for (var n = 0; n < samples.Length; n++)
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samples[n] = await rng.NextNumber(-1.0, 1.0, new FastRng.Double.Distributions.Normal());
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rng.StopProducer();
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Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min is out of range");
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Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range");
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}
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[Test]
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[Category(TestCategories.COVER)]
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[Category(TestCategories.NORMAL)]
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public async Task TestNormalGeneratorWithRange02()
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{
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var rng = new MultiThreadedRng();
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var samples = new double[1_000];
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for (var n = 0; n < samples.Length; n++)
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samples[n] = await rng.NextNumber(0.0, 1.0, new FastRng.Double.Distributions.Normal());
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rng.StopProducer();
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Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range");
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Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range");
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}
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[Test]
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[Category(TestCategories.COVER)]
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[Category(TestCategories.NORMAL)]
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public void ParameterTest01()
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{
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var dist = new FastRng.Double.Distributions.Normal();
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Assert.DoesNotThrow(() => dist.Mean = -45);
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Assert.DoesNotThrow(() => dist.Mean = 15);
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Assert.DoesNotThrow(() => dist.Mean = 0);
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Assert.Throws<ArgumentOutOfRangeException>(() => dist.StandardDeviation = 0);
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Assert.Throws<ArgumentOutOfRangeException>(() => dist.StandardDeviation = -78);
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Assert.DoesNotThrow(() => dist.StandardDeviation = 0.0001);
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Assert.DoesNotThrow(() => dist.StandardDeviation = 4);
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}
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[Test]
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[Category(TestCategories.COVER)]
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[Category(TestCategories.NORMAL)]
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public async Task NoRandomNumberGenerator01()
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{
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var dist = new FastRng.Double.Distributions.Normal();
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Assert.DoesNotThrowAsync(async () => await dist.GetDistributedValue());
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Assert.That(await dist.GetDistributedValue(), Is.NaN);
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}
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}
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}
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