public void validate_class_can_be_serialized_as_part_of_SimulationInput()
{
var detectorInput = new ROfRhoDetectorInput()
{
Rho = new DoubleRange(10, 20, 51)
};
try
{
new SimulationInput(
10,
"",
new SimulationOptions(),
new DirectionalPointSourceInput(),
new MultiLayerTissueInput(),
new List <IDetectorInput>
{
(ROfRhoDetectorInput)detectorInput
}
).WriteToJson("test.txt");
}
catch
{
Assert.Fail("SimulationInput class could not be serialized.");
}
//var simInputCloned = FileIO.ReadFromXML<SimulationInput>("test");
//Assert.AreEqual(simInputCloned.DetectorInput.Rho.Start, 10);
}
public void validate_deserialized_class_is_correct()
{
var i = new ROfRhoDetectorInput()
{
Rho = new DoubleRange(10, 20, 51)
};
var iCloned = Clone(i);
Assert.AreEqual(iCloned.Rho.Start, 10);
}
public void validate_ROfRhoDetector_deserialized_class_is_correct_when_using_WriteReadDetectorToFile()
{
string detectorName = "testrofrho";
IDetectorInput detectorInput = new ROfRhoDetectorInput()
{
Rho = new DoubleRange(0, 10, 4), TallySecondMoment = false, Name = detectorName
};
var detector = (ROfRhoDetector)detectorInput.CreateDetector();
detector.Mean = new double[] { 100, 200, 300 };
DetectorIO.WriteDetectorToFile(detector, "");
var dcloned = (ROfRhoDetector)DetectorIO.ReadDetectorFromFile(detectorName, "");
Assert.AreEqual(dcloned.Name, detectorName);
Assert.AreEqual(dcloned.Mean[0], 100);
Assert.AreEqual(dcloned.Mean[1], 200);
Assert.AreEqual(dcloned.Mean[2], 300);
}
public void demonstrate_basic_mc_creation()
{
var detectorInput = new ROfRhoDetectorInput
{
TallyType = "ROfRho",
Name = "My First Detector",
TallySecondMoment = false,
Rho = new DoubleRange(0, 1, 5),
};
var simInput = new SimulationInput {
DetectorInputs = new[] { detectorInput }
};
var sim = simInput.CreateSimulation();
var results = sim.Run();
IDetector detector;
var rOfRhoDetector = results.ResultsDictionary.TryGetValue(detectorInput.Name, out detector);
Assert.NotNull(rOfRhoDetector);
}
