public void TestPopulationSeeding()
{
var fTmp = Path.GetTempFileName();
var f = Path.Combine(Path.GetDirectoryName(fTmp), Path.GetFileNameWithoutExtension(fTmp) + ".csv");
int numScores = 5;
var pSet = new ParameterSet(new MockTimeModel());
var expectedMaxBound = 3.0;
pSet.paramSpec("x").max = expectedMaxBound;
var pSpaceReference = new MpiSysConfigTIME(pSet);
IObjectiveScores[] scores = createScores(numScores);
try
{
MetaheuristicsHelper.SaveAsCsv <MpiSysConfig>(scores, f);
var seeds = GridModelHelper.LoadParameterSets(f, pSpaceReference);
Assert.AreEqual(numScores, seeds.Length);
Assert.AreEqual(expectedMaxBound, seeds[0].GetMaxValue("x"));
Assert.AreEqual(MockTimeModel.getX(4), seeds[4].GetValue("x"), 1e-9);
Assert.AreEqual(MockTimeModel.getY(3), seeds[3].GetValue("y"), 1e-9);
}
finally
{
if (File.Exists(f))
{
File.Delete(f);
}
if (File.Exists(fTmp))
{
File.Delete(fTmp);
}
}
}
private IObjectiveScores[] createScores(int p)
{
var parameterSets = new MpiSysConfig[p];
for (int i = 0; i < p; i++)
{
var m = new MockTimeModel();
m.x = MockTimeModel.getX(i);
m.y = MockTimeModel.getY(i);
parameterSets[i] = new MpiSysConfigTIME(new ParameterSet(m));
}
return(InMemoryLoggerTests.CreateTestScores(2, parameterSets));
}
