public void CompleteLines(int expected, int[] squares)
{
var heuristic = new YiyuanLeeHeuristic();
var board = Build(4, 4, squares);
var completeLines = heuristic.CompleteLines(board);
Assert.AreEqual(expected, completeLines);
}
public void MaximumHeight(int expected, int[] squares)
{
var heuristic = new YiyuanLeeHeuristic();
var board = Build(4, 4, squares);
var maximumHeight = heuristic.MaximumHeight(board);
Assert.AreEqual(expected, maximumHeight);
}
public void AggregateHeight(int expected, int[] squares)
{
var heuristic = new YiyuanLeeHeuristic();
var board = Build(4, 4, squares);
var aggregateHeight = heuristic.AggregateHeight(board);
Assert.AreEqual(expected, aggregateHeight);
}
public void Bumpiness(int expected, int[] squares)
{
var heuristic = new YiyuanLeeHeuristic();
var board = Build(4, 4, squares);
var bumpiness = heuristic.Bumpiness(board);
Assert.AreEqual(expected, bumpiness);
}
public void Holes(int expected, int[] squares)
{
var heuristic = new YiyuanLeeHeuristic();
var board = Build(4, 4, squares);
var holes = heuristic.Holes(board);
Assert.AreEqual(expected, holes);
}
public void TestManyScorings()
{
var gameStates = Enumerable.Range(0, 22 * 22 * 7 * 22)
.Select(x => new Board().Random())
.Select(x => new GameState(x))
.ToList();
var heuristic = new YiyuanLeeHeuristic();
var sw = new Stopwatch();
sw.Start();
foreach (var gs in gameStates)
{
var score = heuristic.Score(gs);
}
sw.Stop();
Debug.WriteLine(sw.ElapsedMilliseconds);
}
static TimeSpan MeasurePredictiveSearch(int number)
{
var gamestates = Enumerable.Range(0, number)
.Select(x => new Board().Random())
.Select(x => new GameState(x, Tetriminos.GetRandom(), Tetriminos.GetRandom()))
.ToList();
var heuristic = new YiyuanLeeHeuristic();
var search = new PredictiveSearch(heuristic);
var sw = new Stopwatch();
sw.Start();
foreach (var gamestate in gamestates)
{
var result = search.Search(gamestate);
}
sw.Stop();
return(sw.Elapsed);
}
public void Constructor()
{
var heuristic = new YiyuanLeeHeuristic();
}
