public async Task TestLogNormalDistribution01()
{
using var rng = new MultiThreadedRng();
var dist = new FastRng.Double.Distributions.LogNormalS1M0(rng);
var fra = new FrequencyAnalysis();
for (var n = 0; n < 100_000; n++)
{
fra.CountThis(await dist.NextNumber());
}
var result = fra.NormalizeAndPlotEvents(TestContext.WriteLine);
Assert.That(result[0], Is.EqualTo(0.001505531).Within(0.003));
Assert.That(result[1], Is.EqualTo(0.014408709).Within(0.01));
Assert.That(result[2], Is.EqualTo(0.043222256).Within(0.02));
Assert.That(result[21], Is.EqualTo(0.876212056).Within(0.15));
Assert.That(result[22], Is.EqualTo(0.895582226).Within(0.15));
Assert.That(result[23], Is.EqualTo(0.912837250).Within(0.15));
Assert.That(result[50], Is.EqualTo(0.948062005).Within(0.2));
Assert.That(result[75], Is.EqualTo(0.768584762).Within(0.089));
Assert.That(result[85], Is.EqualTo(0.697303612).Within(0.089));
Assert.That(result[90], Is.EqualTo(0.663570581).Within(0.089));
Assert.That(result[97], Is.EqualTo(0.618792767).Within(0.089));
Assert.That(result[98], Is.EqualTo(0.612636410).Within(0.089));
Assert.That(result[99], Is.EqualTo(0.606540679).Within(0.089));
}
public async Task TestLogNormalGeneratorWithRange01()
{
using var rng = new MultiThreadedRng();
var dist = new FastRng.Double.Distributions.LogNormalS1M0(rng);
var samples = new double[1_000];
