/// <summary>
///
/// </summary>
/// <param name="maxSearchDepth"></param>
/// <param name="calculator"></param>
/// <param name="placementStrategy">If specified, AB will place pieces, otherwise runs in NoPiecePlacing fidelity</param>
public AlphaBetaMoveMaker(int maxSearchDepth, IUtilityCalculator calculator, IPlacementStrategy placementStrategy = null)
{
_thisThreadPool = _pool.Value;
_maxSearchDepth = maxSearchDepth;
_calculator = calculator;
if (placementStrategy != null)
{
_placementMaker = new PlacementMaker(placementStrategy);
}
}
private void TestStrategy(IPlacementStrategy strategy, int expectPiecesPlaced)
{
var pieces = new PieceCollection();
pieces.Populate(SimulationHelpers.GetRandomPieces(1));
int placed = 0;
var board = new BoardState();
for (var i = 0; i < pieces.Count; i++)
{
if (strategy.TryPlacePiece(board, PieceDefinition.AllPieceDefinitions[pieces[i]], in pieces, i + 1, out var bitmap, out var x, out var y))
{
placed++;
board.Place(bitmap, x, y);
}
static void TestPlacementOnly()
{
var stopwatch = Stopwatch.StartNew();
var strategies = new IPlacementStrategy[]
{
//FirstPossiblePlacementStrategy.Instance,
//SimpleClosestToWallAndCornerStrategy.Instance,
//ClosestToCornerLeastHolesTieBreakerPlacementStrategy.Instance,
//NextToPieceEdgeLeastHolesTieBreakerPlacementStrategy.Instance,
//TightPlacementStrategy.InstanceDoubler,
//TightPlacementStrategy.InstanceIncrement,
ExhaustiveMostFuturePlacementsPlacementStrategy.Instance1_1,
ExhaustiveMostFuturePlacementsPlacementStrategy.Instance1_6,
new BestEvaluatorStrategy(TuneablePattern2x2BoardEvaluator.HandTuned),
new BestEvaluatorStrategy(TuneablePattern2x2BoardEvaluator.Tuning1),
};
//foreach (var strategy in strategies)
Parallel.ForEach(strategies, (strategy) =>
{
//var rand = new Random(0);
int totalPlaced = 0;
for (var i = 0; i < 100; i++)
{
var pieces = new PieceCollection();
pieces.Populate(SimulationHelpers.GetRandomPieces(i));
int index = 0;
int placed = 0;
var board = new BoardState();
while (true)
{
var piece = pieces[index];
pieces.RemoveAt(index);
index = index % pieces.Count;
if (strategy.TryPlacePiece(board, PieceDefinition.AllPieceDefinitions[piece], in pieces, index, out var bitmap, out var x, out var y))
{
placed++;
board.Place(bitmap, x, y);
//Advance to a random one in the next 6 pieces (TODO: Would be good to bias this towards 1-3 as these are more likely)
//index = (index + rand.Next(0, 6)) % pieces.Count;
}
public Placer(Grid grid, IPlacementStrategy placementStrategy)
{
strategy = placementStrategy;
}
public PlacementMaker(IPlacementStrategy strategy)
{
_strategy = strategy;
}
// mainly to test
public Board(Grid grid, IPlacementStrategy strategy)
{
this.grid = grid;
this.placementStrategy = strategy;
this.placer = new Placer(grid, this.placementStrategy);
}
public Board()
{
this.grid = new Grid(GridSize);
this.placementStrategy = new RandomPlacementStrategy(this.grid);
this.placer = new Placer(grid, this.placementStrategy);
}
