From da392742628c1fad1f12aceabb40cbc17586803b Mon Sep 17 00:00:00 2001 From: Thorsten Sommer Date: Sat, 26 Sep 2020 22:05:35 +0200 Subject: [PATCH] Initial --- .../Double/Distributions/InverseGamma.cs | 95 +++++++++++++++++++ 1 file changed, 95 insertions(+) create mode 100644 FastRngTests/Double/Distributions/InverseGamma.cs diff --git a/FastRngTests/Double/Distributions/InverseGamma.cs b/FastRngTests/Double/Distributions/InverseGamma.cs new file mode 100644 index 0000000..4cdfe59 --- /dev/null +++ b/FastRngTests/Double/Distributions/InverseGamma.cs @@ -0,0 +1,95 @@ +using System; +using System.Diagnostics.CodeAnalysis; +using System.Linq; +using System.Threading.Tasks; +using FastRng.Double; +using NUnit.Framework; + +namespace FastRngTests.Double.Distributions +{ + [ExcludeFromCodeCoverage] + public class InverseGamma + { + [Test] + [Category(TestCategories.COVER)] + [Category(TestCategories.NORMAL)] + public async Task TestInverseGammaDistribution01() + { + const double SHAPE = 3.0; + const double SCALE = 1.2; + const double MEAN = SCALE / (SHAPE - 1); + const double VARIANCE = SCALE * SCALE / ((SHAPE - 1) * (SHAPE - 1) * (SHAPE - 2)); + + var dist = new FastRng.Double.Distributions.InverseGamma{ Shape = SHAPE, Scale = SCALE }; + var stats = new RunningStatistics(); + var rng = new MultiThreadedRng(); + + for (var n = 0; n < 100_000; n++) + stats.Push(await rng.NextNumber(dist)); + + rng.StopProducer(); + TestContext.WriteLine($"mean={MEAN} vs. {stats.Mean}"); + TestContext.WriteLine($"variance={VARIANCE} vs {stats.Variance}"); + + Assert.That(stats.Mean, Is.EqualTo(MEAN).Within(0.4), "Mean is out of range"); + Assert.That(stats.Variance, Is.EqualTo(VARIANCE).Within(0.4), "Variance is out of range"); + } + + [Test] + [Category(TestCategories.COVER)] + [Category(TestCategories.NORMAL)] + public async Task TestInverseGammaGeneratorWithRange01() + { + var rng = new MultiThreadedRng(); + var samples = new double[1_000]; + for (var n = 0; n < samples.Length; n++) + samples[n] = await rng.NextNumber(-1.0, 1.0, new FastRng.Double.Distributions.InverseGamma()); + + rng.StopProducer(); + Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min out of range"); + Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max out of range"); + } + + [Test] + [Category(TestCategories.COVER)] + [Category(TestCategories.NORMAL)] + public async Task TestInverseGammaGeneratorWithRange02() + { + var rng = new MultiThreadedRng(); + var samples = new double[1_000]; + for (var n = 0; n < samples.Length; n++) + samples[n] = await rng.NextNumber(0.0, 1.0, new FastRng.Double.Distributions.InverseGamma()); + + rng.StopProducer(); + Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range"); + Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range"); + } + + [Test] + [Category(TestCategories.COVER)] + [Category(TestCategories.NORMAL)] + public void ParameterTest01() + { + var dist = new FastRng.Double.Distributions.InverseGamma(); + + Assert.Throws(() => dist.Shape = 0); + Assert.Throws(() => dist.Shape = -78); + Assert.DoesNotThrow(() => dist.Shape = 0.0001); + Assert.DoesNotThrow(() => dist.Shape = 4); + + Assert.DoesNotThrow(() => dist.Scale = -45); + Assert.DoesNotThrow(() => dist.Scale = 15); + Assert.DoesNotThrow(() => dist.Scale = 0); + } + + [Test] + [Category(TestCategories.COVER)] + [Category(TestCategories.NORMAL)] + public async Task NoRandomNumberGenerator01() + { + var dist = new FastRng.Double.Distributions.InverseGamma(); + Assert.DoesNotThrowAsync(async () => await dist.GetDistributedValue()); + Assert.That(await dist.GetDistributedValue(), Is.NaN); + } + } +} \ No newline at end of file