public void BernoulliDistribution()
{
Simulation.NumberOfSamples = ExpectedResults.NumberOfSamples;
var testInfo = ExpectedResults.Data["DistributionResults"]["BernoulliDistribution"];
var inputs = testInfo["ConstructorInputs"];
var resultsArray = testInfo["Results"]
.Select(jv => (double)jv).ToArray();
BernoulliDistribution distr = new BernoulliDistribution(
inputs["probability"].Value <double>(),
inputs["randomSeed"].Value <int>());
Vector <double> expectedResults = Vector <double> .Build.DenseOfArray(resultsArray);
Assert.AreEqual(expectedResults, distr.GetResult());
distr = new BernoulliDistribution(.567);
Assert.AreEqual(distr.Probability.ScalarValue, .567);
bool exceptionCaught = false;
try
{
distr.Probability = -1;
}
catch (ArgumentException)
{
exceptionCaught = true;
}
Assert.IsTrue(exceptionCaught);
exceptionCaught = false;
try
{
distr.Probability = 1.1;
}
catch (ArgumentException)
{
exceptionCaught = true;
}
Assert.IsTrue(exceptionCaught);
distr.Probability = 0;
distr.Probability = 1;
Assert.IsTrue(distr.ConstrainedToInt);
distr = new BernoulliDistribution();
Assert.AreEqual(1, distr.Probability.ScalarValue);
}
