Dotnet/FastRng
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Fixed test cases

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This commit is contained in:
Thorsten Sommer 2020-10-30 22:24:09 +01:00
parent 85d4906d1c
commit 64eb754644
3 changed files with 46 additions and 20 deletions
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37
FastRngTests/Double/Distributions/Beta.cs
View File

@ -15,24 +15,33 @@ namespace FastRngTests.Double.Distributions
[Category(TestCategories.NORMAL)]
public async Task TestBetaDistribution01()
{
const double A = 2.0;
const double B = 2.0;
const double MEAN = A / (A + B);
const double VARIANCE = (A * B) / ((A + B) * (A + B) * (A + B + 1.0));
var dist = new FastRng.Double.Distributions.BetaA2B2();
var stats = new RunningStatistics();
var fqa = new FrequencyAnalysis();
var rng = new MultiThreadedRng();
for (var n = 0; n < 100_000; n++)
stats.Push(await rng.NextNumber(dist));
fqa.CountThis(await rng.NextNumber(dist));
rng.StopProducer();
TestContext.WriteLine($"mean={MEAN} vs. {stats.Mean}");
TestContext.WriteLine($"variance={VARIANCE} vs {stats.Variance}");
var result = fqa.NormalizeAndPlotEvents(TestContext.WriteLine);
Assert.That(stats.Mean, Is.EqualTo(MEAN).Within(0.1), "Mean is out of range");
Assert.That(stats.Variance, Is.EqualTo(VARIANCE).Within(0.01), "Variance is out of range");
Assert.That(result[0], Is.EqualTo(0.0396).Within(0.3));
Assert.That(result[1], Is.EqualTo(0.0784).Within(0.3));
Assert.That(result[2], Is.EqualTo(0.1164).Within(0.3));
Assert.That(result[21], Is.EqualTo(0.6864).Within(0.3));
Assert.That(result[22], Is.EqualTo(0.7084).Within(0.3));
Assert.That(result[23], Is.EqualTo(0.7296).Within(0.3));
Assert.That(result[50], Is.EqualTo(0.9996).Within(0.3));
Assert.That(result[75], Is.EqualTo(0.7296).Within(0.3));
Assert.That(result[85], Is.EqualTo(0.4816).Within(0.3));
Assert.That(result[90], Is.EqualTo(0.3276).Within(0.3));
Assert.That(result[97], Is.EqualTo(0.0784).Within(0.3));
Assert.That(result[98], Is.EqualTo(0.0396).Within(0.3));
Assert.That(result[99], Is.EqualTo(0.0000).Within(0.3));
}
[Test]
@ -42,8 +51,9 @@ namespace FastRngTests.Double.Distributions
{
var rng = new MultiThreadedRng();
var samples = new double[1_000];
var dist = new FastRng.Double.Distributions.BetaA2B2();
for (var n = 0; n < samples.Length; n++)
samples[n] = await rng.NextNumber(-1.0, 1.0, new FastRng.Double.Distributions.BetaA2B2());
samples[n] = await rng.NextNumber(-1.0, 1.0, dist);
rng.StopProducer();
Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min out of range");
@ -57,8 +67,9 @@ namespace FastRngTests.Double.Distributions
{
var rng = new MultiThreadedRng();
var samples = new double[1_000];
var dist = new FastRng.Double.Distributions.BetaA2B2();
for (var n = 0; n < samples.Length; n++)
samples[n] = await rng.NextNumber(0.0, 1.0, new FastRng.Double.Distributions.BetaA2B2());
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");

10
FastRngTests/Double/Distributions/Normal.cs
View File

@ -20,15 +20,19 @@ namespace FastRngTests.Double.Distributions
var dist = new FastRng.Double.Distributions.Normal();
var stats = new RunningStatistics();
var fra = new FrequencyAnalysis();
var rng = new MultiThreadedRng();
for (var n = 0; n < 100_000; n++)
{
var nextNumber = await rng.NextNumber(dist);
stats.Push(nextNumber);
fra.CountThis(nextNumber);
}
rng.StopProducer();
fra.NormalizeAndPlotEvents(TestContext.WriteLine);
TestContext.WriteLine($"mean={MEAN} vs. {stats.Mean}");
TestContext.WriteLine($"variance={STANDARD_DEVIATION * STANDARD_DEVIATION} vs {stats.Variance}");
@ -43,8 +47,9 @@ namespace FastRngTests.Double.Distributions
{
var rng = new MultiThreadedRng();
var samples = new double[1_000];
var dist = new FastRng.Double.Distributions.Normal();
for (var n = 0; n < samples.Length; n++)
samples[n] = await rng.NextNumber(-1.0, 1.0, new FastRng.Double.Distributions.Normal());
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");
@ -58,8 +63,9 @@ namespace FastRngTests.Double.Distributions
{
var rng = new MultiThreadedRng();
var samples = new double[1_000];
var dist = new FastRng.Double.Distributions.Normal();
for (var n = 0; n < samples.Length; n++)
samples[n] = await rng.NextNumber(0.0, 1.0, new FastRng.Double.Distributions.Normal());
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");

15
FastRngTests/Double/Distributions/Uniform.cs
View File

@ -23,12 +23,19 @@ namespace FastRngTests.Double.Distributions
const double VARIANCE = (1.0 / 12.0) * (B - A) * (B - A);
var stats = new RunningStatistics();
var fra = new FrequencyAnalysis();
var rng = new MultiThreadedRng();
for (var n = 0; n < 100_000; n++)
stats.Push(await rng.GetUniform());
{
var value = await rng.GetUniform();
stats.Push(value);
fra.CountThis(value);
}
rng.StopProducer();
fra.NormalizeAndPlotEvents(TestContext.WriteLine);
fra.PlotOccurence(TestContext.WriteLine);
TestContext.WriteLine($"mean={MEAN} vs. {stats.Mean}");
TestContext.WriteLine($"variance={VARIANCE} vs {stats.Variance}");
@ -113,8 +120,9 @@ namespace FastRngTests.Double.Distributions
public async Task TestUniformGeneratorWithRange01()
{
var samples = new double[1_000];
var dist = new FastRng.Double.Distributions.Uniform();
for (var n = 0; n < samples.Length; n++)
samples[n] = await rng.NextNumber(-1.0, 1.0, new FastRng.Double.Distributions.Uniform());
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");
@ -127,8 +135,9 @@ namespace FastRngTests.Double.Distributions
public async Task TestUniformGeneratorWithRange02()
{
var samples = new double[1_000];
var dist = new FastRng.Double.Distributions.Uniform();
for (var n = 0; n < samples.Length; n++)
samples[n] = await rng.NextNumber(0.0, 1.0, new FastRng.Double.Distributions.Uniform());
samples[n] = await rng.NextNumber(0.0, 1.0, dist);
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");