Fixed test cases

This commit is contained in:
Thorsten Sommer 2020-10-30 22:23:47 +01:00
parent 369214044e
commit 85d4906d1c

View File

@ -8,12 +8,43 @@ using NUnit.Framework;
namespace FastRngTests.Double.Distributions namespace FastRngTests.Double.Distributions
{ {
[ExcludeFromCodeCoverage] [ExcludeFromCodeCoverage]
public class CauchyLorentz public class CauchyLorentzX0
{ {
public void TestCauchyDistribution01() [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, // 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 // 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] [Test]
@ -21,10 +52,11 @@ namespace FastRngTests.Double.Distributions
[Category(TestCategories.NORMAL)] [Category(TestCategories.NORMAL)]
public async Task TestCauchyGeneratorWithRange01() public async Task TestCauchyGeneratorWithRange01()
{ {
var dist = new FastRng.Double.Distributions.CauchyLorentzX0();
var rng = new MultiThreadedRng(); var rng = new MultiThreadedRng();
var samples = new double[1_000]; var samples = new double[1_000];
for (var n = 0; n < samples.Length; n++) for (var n = 0; n < samples.Length; n++)
samples[n] = await rng.NextNumber(-1.0, 1.0, new FastRng.Double.Distributions.CauchyLorentz()); samples[n] = await rng.NextNumber(-1.0, 1.0, dist);
rng.StopProducer(); rng.StopProducer();
Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min is out of range"); Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min is out of range");
@ -36,10 +68,11 @@ namespace FastRngTests.Double.Distributions
[Category(TestCategories.NORMAL)] [Category(TestCategories.NORMAL)]
public async Task TestCauchyGeneratorWithRange02() public async Task TestCauchyGeneratorWithRange02()
{ {
var dist = new FastRng.Double.Distributions.CauchyLorentzX0();
var rng = new MultiThreadedRng(); var rng = new MultiThreadedRng();
var samples = new double[1_000]; var samples = new double[1_000];
for (var n = 0; n < samples.Length; n++) for (var n = 0; n < samples.Length; n++)
samples[n] = await rng.NextNumber(0.0, 1.0, new FastRng.Double.Distributions.CauchyLorentz()); samples[n] = await rng.NextNumber(0.0, 1.0, dist);
rng.StopProducer(); rng.StopProducer();
Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range"); Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range");
@ -52,7 +85,7 @@ namespace FastRngTests.Double.Distributions
public async Task TestCauchyGeneratorWithRange03() public async Task TestCauchyGeneratorWithRange03()
{ {
var rng = new MultiThreadedRng(); var rng = new MultiThreadedRng();
var dist = new FastRng.Double.Distributions.CauchyLorentz { Random = rng }; // Test default parameters var dist = new FastRng.Double.Distributions.CauchyLorentzX0 { Random = rng }; // Test default parameters
var samples = new double[1_000]; var samples = new double[1_000];
for (var n = 0; n < samples.Length; n++) for (var n = 0; n < samples.Length; n++)
@ -68,7 +101,7 @@ namespace FastRngTests.Double.Distributions
[Category(TestCategories.NORMAL)] [Category(TestCategories.NORMAL)]
public async Task NoRandomNumberGenerator01() public async Task NoRandomNumberGenerator01()
{ {
var dist = new FastRng.Double.Distributions.CauchyLorentz(); var dist = new FastRng.Double.Distributions.CauchyLorentzX0();
Assert.DoesNotThrowAsync(async () => await dist.GetDistributedValue()); Assert.DoesNotThrowAsync(async () => await dist.GetDistributedValue());
Assert.That(await dist.GetDistributedValue(), Is.NaN); Assert.That(await dist.GetDistributedValue(), Is.NaN);
} }