public static IPotteryOptimizer Create(this IPotteryOptimizer ignore)
{
// TODO: Set which optimizer you want to use in the tests here
return(new Bss.Optimization.Pottery.Naive.Optimizer());
// return new Bss.Optimization.Pottery.LP.Optimizer();
// return new Bss.Optimization.Pottery.Glop.Optimizer();
}
public void ReturnTheOptimumNumberOfLargeVasesIfNonStandardConstraintsAreSupplied()
{
var claySupply = 37;
var glazeSupply = 31;
IPotteryOptimizer engine = (null as IPotteryOptimizer).Create();
var result = engine.GetTargets(claySupply, glazeSupply);
Assert.AreEqual(3, result.Large);
}
public void ReturnTheOptimumNumberOfLargeVases()
{
var claySupply = 24;
var glazeSupply = 16;
IPotteryOptimizer engine = (null as IPotteryOptimizer).Create();
var result = engine.GetTargets(claySupply, glazeSupply);
Assert.AreEqual(4, result.Large);
}
public void ReturnQuicklyEvenAtScale()
{
// This test is expected to fail for any optimizer that
// cannot handle a large solution set, such as
// the Naive optimizer in this solution.
var claySupply = Int32.MaxValue; // Huge value
var glazeSupply = Int32.MaxValue - 394; // Huge value picked at random
IPotteryOptimizer engine = (null as IPotteryOptimizer).Create();
var result = engine.GetTargets(claySupply, glazeSupply);
}
public void ReturnAllFeasibleTargets()
{
var claySupply = 24;
var glazeSupply = 16;
IPotteryOptimizer engine = (null as IPotteryOptimizer).Create();
var results = engine.GetFeasibleTargets(claySupply, glazeSupply);
TestContext.WriteLine($"Number of solutions: {results.Count()}");
TestContext.WriteLine("Small, Large");
foreach (var targetSet in results)
{
TestContext.WriteLine($"{targetSet.Small},{targetSet.Large}");
}
Assert.AreEqual(71, results.Count());
}
