Dotnet/FastRng
Dotnet/FastRng
1
0
Fork 0
Code Issues 2 Pull Requests Actions Packages Projects Releases 5 Wiki Activity

Adjusted test for distribution for shape fitter

Browse Source
This commit is contained in:
Thorsten Sommer 2020-09-29 20:33:03 +02:00
parent 4c30dbfc6f
commit 01e6355e4f
1 changed files with 11 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

13
FastRngTests/Double/Distributions/Normal.cs
View File

@ -15,15 +15,20 @@ namespace FastRngTests.Double.Distributions
[Category(TestCategories.NORMAL)] [Category(TestCategories.NORMAL)]
public async Task TestNormalDistribution01() public async Task TestNormalDistribution01()
{ {
const double MEAN = 2.0; const double MEAN = 0.5;
const double STANDARD_DEVIATION = 5.0; const double STANDARD_DEVIATION = 0.4;
var dist = new FastRng.Double.Distributions.Normal{ Mean = MEAN, StandardDeviation = STANDARD_DEVIATION }; var dist = new FastRng.Double.Distributions.Normal();
var stats = new RunningStatistics(); var stats = new RunningStatistics();
var rng = new MultiThreadedRng(); var rng = new MultiThreadedRng();
var sample = new double[100_000];
for (var n = 0; n < 100_000; n++) for (var n = 0; n < 100_000; n++)
stats.Push(await rng.NextNumber(dist)); {
var nextNumber = await rng.NextNumber(dist);
sample[n] = nextNumber;
stats.Push(nextNumber);
}
rng.StopProducer(); rng.StopProducer();
TestContext.WriteLine($"mean={MEAN} vs. {stats.Mean}"); TestContext.WriteLine($"mean={MEAN} vs. {stats.Mean}");