private Choosers.BlockGroupChooser GetChooser()
{
//TODO: proper per-handler configs should include the chooser class to use.
var resultChooser = new BagChooser(Tetromino.StandardTetrominoFunctions);
return(resultChooser);
}
public override BlockGroupChooser GetChooser()
{
BagChooser bc = new BagChooser(Tetromino.Tetris2TetrominoFunctions);
bc.ResultAffector = Tetris2NominoTweaker;
return(bc);
}
//Runs a simulation with a given piece of scoring data, and board width and height, and runs one simulated game using that scoring for AI determination and
//returns a valuation of the resulting gameplay using the scoring algorithm with those weights.
public static double RunSimulation(StoredBoardState.TetrisScoringRuleData scoredata, int BoardWidth = 10, int BoardHeight = 22)
{
Debug.Print($"--------Running Simulation " + scoredata.ToString() + "-----");
//create the chooser.
BlockGroupChooser bgc = new BagChooser(Tetromino.StandardTetrominoFunctions);
List <Nomino> ChosenNominos = new List <Nomino>();
NominoBlock[][] Contents = new NominoBlock[TetrisField.DEFAULT_ROWCOUNT][];
for (int row = 0; row < TetrisField.DEFAULT_ROWCOUNT; row++)
{
Contents[row] = new NominoBlock[TetrisField.DEFAULT_COLCOUNT];
}
int Placedpieces = 0;
int rowsFinished = 9;
bool GameEnded = false;
int nominoCount = 0;
while (!GameEnded)
{
//get the next Nomino.
var nextNomino = bgc.RetrieveNext();
ChosenNominos.Add(nextNomino);
//Debug.Print("Processing new Nomino:" + nextNomino.SpecialName);
var PossibleBoardResults = StandardNominoAI.GetPossibleResults(Contents, nextNomino, scoredata);
//score each one based on the scoring rules.
var BestScore = (from p in PossibleBoardResults orderby p.GetScore(typeof(GameStates.GameHandlers.StandardTetrisHandler), scoredata) descending select p).FirstOrDefault();
if (BestScore != null)
{
// we go with the best scoring value of course.
Contents = BestScore.State;
String NewStateString = BestScore.GetBoardString();
//Debug.Print("Found best score location for new Nomino. Board State:");
//Debug.Print("\n\n" + NewStateString);
Placedpieces++;
}
int RemoveLines = RemoveFinishedRows(ref Contents);
rowsFinished += (RemoveLines * RemoveLines); //square it, reason is to give higher scores for AI that manages to land more multi-line clears.
//if the top line has a block than we will consider it Game Ended.
if (Contents[0].Any((r) => r != null))
{
GameEnded = true;
}
}
//Debug.Print("Final Score:" +rowsFinished + Placedpieces);
//Debug.Print($"----------------Completed Simulation Bumpiness:{scoredata.BumpinessScore}, Height:{scoredata.AggregateHeightScore}, Hole:{scoredata.HoleScore}, Row:{scoredata.RowScore} --------");
return(rowsFinished + Placedpieces); //return score for this simulation.
}
public FieldLineActionDissolve(GameplayGameState _BaseState, int[] ClearRows, IEnumerable <Action> pAfterClearActions) : base(_BaseState, ClearRows, pAfterClearActions)
{
List <Point> AllBlockPositions = new List <Point>();
RowClearCount = ClearRows.Length;
foreach (int grabrow in ClearRows)
{
var rowcontent = _BaseState.PlayField.Contents[grabrow];
for (int addblock = 0; addblock < rowcontent.Length; addblock++)
{
if (rowcontent[addblock] != null)
{
AllBlockPositions.Add(new Point(grabrow, addblock));
}
}
}
ClearBlockList = new Queue <Point>();
foreach (var choosernd in BagChooser.Shuffle(new Random(), AllBlockPositions))
{
ClearBlockList.Enqueue(choosernd);
}
}
public static Choosers.BlockGroupChooser BagTetrominoChooser()
{
BlockGroupChooser Chooser = new BagChooser(StandardTetrominoFunctions);
return(Chooser);
}
