public void DiscreteUniformDistribution_Result()
{
Simulation.NumberOfSamples = ExpectedResults.NumberOfSamples;
//var duhh = ExpectedResults.GetDistributionObject<BernoulliDistribution>();
var testInfo = ExpectedResults.Data["DistributionResults"]["DiscreteUniformDistribution"];
var inputs = testInfo["ConstructorInputs"];
var resultsArray = testInfo["Results"]
.Select(jv => (double)jv).ToArray();
DiscreteUniformDistribution distr = new DiscreteUniformDistribution(
inputs["min"].Value <int>(),
inputs["max"].Value <int>(),
inputs["randomSeed"].Value <int>());
Vector <double> expectedResults = Vector <double> .Build.DenseOfArray(resultsArray);
Assert.AreEqual(expectedResults, distr.GetResult());
distr = new DiscreteUniformDistribution(1, 200);
Assert.AreEqual(distr.Min.ScalarValue, 1);
Assert.AreEqual(distr.Max.ScalarValue, 200);
distr = new DiscreteUniformDistribution();
Assert.AreEqual(distr.Min.ScalarValue, 0);
Assert.AreEqual(distr.Max.ScalarValue, 0);
}
public void ImplicitOperatorDistributionInteger()
{
Simulation.NumberOfSamples = ExpectedResults.NumberOfSamples;
DiscreteUniformDistribution distr = new DiscreteUniformDistribution(1, 1000);
QrtValue qrtVal = distr;
Assert.IsTrue(qrtVal.IsDistribution);
Assert.IsTrue(qrtVal.ConstrainedToInt);
Assert.AreEqual(qrtVal.ScalarValue, 0);
Assert.AreEqual(qrtVal.DistributionValue.GetResult(), distr.GetResult());
}