public void SamplesDistributionTest()
{
var source =
DiscreteUniform.Samples(MathTool.GetRandomFactory()(), 0, 10).AsParallel().Take(99999).Select(x => (double)x).ToList();
var histogram = new Histogram(source, 11, 0, 11);
DisplayDistribution("DiscreteUniform", histogram);
}
public void StaticSampleUniform()
{
DiscreteUniform.Sample(new Random(), 0, 10).Should().Be.GreaterThanOrEqualTo(0).And.Be.LessThanOrEqualTo(10);
DiscreteUniform.Samples(new Random(), 0, 10).Take(10).Where(x => x >= 0 && x <= 10).Count().Should().Be(10);
Assert.Throws <InvalidOperationException>(() => DiscreteUniform.Sample(new Random(), 10, 0));
Assert.Throws <InvalidOperationException>(() => DiscreteUniform.Samples(new Random(), 10, 0).First());
}
public void SamplesTest([Values(-10, 0, 10, 20)] int lower,
[Values(10, 4, 20, 20)] int upper)
{
var uniform = new DiscreteUniform(lower, upper);
uniform.Samples().Take(100).RunEach(x => x.Should()
.Be.GreaterThanOrEqualTo(lower)
.And
.Be.LessThanOrEqualTo(upper));
}
public void SamplesTest([Values(-10, 0, 10, 20)] int lower,
[Values(10, 4, 20, 20)] int upper) {
var uniform = new DiscreteUniform(lower, upper);
uniform.Samples().Take(100).RunEach(x => x.Should()
.Be.GreaterThanOrEqualTo(lower)
.And
.Be.LessThanOrEqualTo(upper));
}
