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 CauchyLorentzX0 { [Test] [Category(TestCategories.COVER)] [Category(TestCategories.NORMAL)] public async Task TestCauchyDistribution01() { // The properties of the cauchy distribution cannot be tested by mean, media or variance, // cf. https://en.wikipedia.org/wiki/Cauchy_distribution#Explanation_of_undefined_moments var dist = new FastRng.Double.Distributions.CauchyLorentzX0(); var fqa = new FrequencyAnalysis(); var rng = new MultiThreadedRng(); for (var n = 0; n < 100_000; n++) fqa.CountThis(await rng.NextNumber(dist)); rng.StopProducer(); var result = fqa.NormalizeAndPlotEvents(TestContext.WriteLine); Assert.That(result[0], Is.EqualTo(0.976990739772031).Within(0.04)); Assert.That(result[1], Is.EqualTo(0.948808314586299).Within(0.06)); Assert.That(result[2], Is.EqualTo(0.905284997403441).Within(0.05)); Assert.That(result[21], Is.EqualTo(0.168965864241396).Within(0.04)); Assert.That(result[22], Is.EqualTo(0.156877686354491).Within(0.04)); Assert.That(result[23], Is.EqualTo(0.145970509936354).Within(0.04)); Assert.That(result[50], Is.EqualTo(0.036533159835978).Within(0.01)); Assert.That(result[75], Is.EqualTo(0.016793067514802).Within(0.01)); Assert.That(result[85], Is.EqualTo(0.01316382933791).Within(0.005)); Assert.That(result[90], Is.EqualTo(0.011773781734516).Within(0.005)); Assert.That(result[97], Is.EqualTo(0.010168596941156).Within(0.005)); Assert.That(result[98], Is.EqualTo(0.009966272570142).Within(0.005)); Assert.That(result[99], Is.EqualTo(0.00976990739772).Within(0.005)); } [Test] [Category(TestCategories.COVER)] [Category(TestCategories.NORMAL)] public async Task TestCauchyGeneratorWithRange01() { var dist = new FastRng.Double.Distributions.CauchyLorentzX0(); 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, dist); rng.StopProducer(); Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "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 async Task TestCauchyGeneratorWithRange02() { var dist = new FastRng.Double.Distributions.CauchyLorentzX0(); 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, dist); 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 async Task TestCauchyGeneratorWithRange03() { var rng = new MultiThreadedRng(); var dist = new FastRng.Double.Distributions.CauchyLorentzX0 { Random = rng }; // Test default parameters var samples = new double[1_000]; for (var n = 0; n < samples.Length; n++) samples[n] = await dist.GetDistributedValue(); 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 async Task NoRandomNumberGenerator01() { var dist = new FastRng.Double.Distributions.CauchyLorentzX0(); Assert.DoesNotThrowAsync(async () => await dist.GetDistributedValue()); Assert.That(await dist.GetDistributedValue(), Is.NaN); } } }