public void Load()
{
List <AlgorithmSaveBase> algorithms = new List <AlgorithmSaveBase>
{
new GaleShapleyAlgorithmSave
{
AlgorithmName = "galeshapley"
},
new GeneticAlgorithmSave
{
AlgorithmName = "genetic",
AbsoluteSelection = _settings.AbsoluteSelection,
SelectionRate = _settings.SelectionRate,
MutationChance = _settings.MutationChance,
StablePairWeight = _settings.StablePairWeight,
GroupHappinessWeight = _settings.GroupHappinessWeight,
EgalitarianHappinessWeight = _settings.EgalitarianHappinessWeight,
Generations = _settings.Generations,
Size = _settings.Size
}
};
MockPersistence mockPersistence = new MockPersistence
{
MockData = new SaveData
{
Algorithms = algorithms
}
};
NewModel();
_context.Persistence = mockPersistence;
_context.Persistence.Load("");
_model.Load();
Assert.AreEqual(2, _context.Algorithms.Count());
Assert.AreEqual("galeshapley", _context.Algorithms[0].Name);
_visitor = new AlgorithmVisitor(null,
() => Assert.Fail());
_visitor.Visit(_context.Algorithms[0].Element);
Assert.AreEqual("genetic", _context.Algorithms[1].Name);
_visitorParam = new AlgorithmVisitorParam((x) => Assert.Fail(),
(x) =>
{
Assert.AreEqual(x.Settings.AbsoluteSelection, _settings.AbsoluteSelection);
Assert.AreEqual(x.Settings.SelectionRate, _settings.SelectionRate);
Assert.AreEqual(x.Settings.MutationChance, _settings.MutationChance);
Assert.AreEqual(x.Settings.StablePairWeight, _settings.StablePairWeight);
Assert.AreEqual(x.Settings.GroupHappinessWeight, _settings.GroupHappinessWeight);
Assert.AreEqual(x.Settings.EgalitarianHappinessWeight, _settings.EgalitarianHappinessWeight);
Assert.AreEqual(x.Settings.Generations, _settings.Generations);
Assert.AreEqual(x.Settings.Size, _settings.Size);
});
_visitorParam.Visit(_context.Algorithms[1].Element);
}
public void Load()
{
_model.Load();
RefreshPage();
}
