/// <summary>
/// Metoda rysująca wykres automatu bądź jego fragment.
/// </summary>
/// <param name="spd">Odwołanie do instancji SPD</param>
/// <param name="x">Współrzedna X lewej górnej komórki wykresu do wyświetlenia</param>
/// <param name="y">Współrzędna Y lewej górnej komórki wykresu do wyświetlenia</param>
/// <param name="width">Ile kolumn automatu będzie wyrysowanych</param>
/// <param name="height">Ile wierszy automatu będzie wyrysowanych</param>
/// <param name="iteration">Dla której iteracji wygenerować wykres (-1 oznacza najbardziej aktualną)</param>
/// <returns>Wyrysowany wykres</returns>
private DrawingImage GenerateImage(SPD.Engine.SPD spd, int x, int y, int width, int height, int iteration = -1)
{
var cellWidth = Canvas.Width / width;
var cellHeight = Canvas.Height / height;
var dg = new DrawingGroup();
var C = GetStateByIteration(iteration < 0?Iteration:iteration);
for (var i = x; i < x + width; i++)
{
for (var j = y; j < y + height; j++)
{
var rg = new RectangleGeometry(new Rect(new Point((i - x) * cellWidth, (j - y) * cellHeight), new Point((i - x + 1) * cellWidth, (j + 1 - y) * cellHeight)));
var c = new IntegerStrategy(C[i, j].Item1);
var gd = new GeometryDrawing
{
Brush =
c.BetrayalThreshold == ToolTipID?new SolidColorBrush(Color.FromRgb(0, 0, 0)):GetBrush(c.BetrayalThreshold),
Geometry = rg
};
dg.Children.Add(gd);
}
}
var result = new DrawingImage(dg);
return(result);
}
/// <summary>
/// Konstruktor okna realizującego symulacje
/// </summary>
/// <param name="PayValues">Tablica zawierająca informacje wyekstrahowane z macierzy wypłat </param>
/// <param name="strategies">Tablica zawierająca początkowe strategie w automacie</param>
/// <param name="torus">Zmienna informująca czy obliczenia automatu realizowane są na torusie</param>
/// <param name="vonneumann">Zmienna informująca czy obliczenia automatu realizowane są z sąsiedztwem Von Neumanna</param>
public SPDView(PointMatrixPick Matrix, int[,] strategies, int _neighboursCount, INeighbourhood _neighbourhood)
{
_tooltip = -1;
_strategyCount = 2 + _neighboursCount;
_sumPointsHistory = new List <double[]>();
_sumPoints = new double[_strategyCount];
DataContext = this;
pointMatrixPick = Matrix;
float[,] fakePoints = new float[strategies.GetLength(0), strategies.GetLength(1)];
AddHistory(strategies, fakePoints);
for (int i = 0; i < _sumPoints.Length; i++)
{
_sumPoints[i] = 0;
}
_strategies = strategies;
neighbourhood = _neighbourhood;
#if DEBUG
var threadNum = 1; //debugging purposes DON'T remove
#else
var threadNum = 16;
#endif
_strategyDictionary = GenerateIntegerStrategies(_strategyCount);
_spd =
new SPD.Engine.SPD(
Matrix.Function,
neighbourhood, strategies,
_strategyDictionary, 10, threadNum, Matrix.ModifiedPointCounting ? OptimizationKind.Relative : OptimizationKind.Absolute);
Speed = 1;
PointsModel = new PlotModel();
CountModel = new PlotModel();
ChangeModel = new PlotModel();
SumModel = new PlotModel();
PointsModel.Title = "Średnie wartości punktowe";
CountModel.Title = "Liczebność strategii";
ChangeModel.Title = "Niestabilność układu";
SumModel.Title = "Punkty dla strategii zagregowane";
_iterations = new List <Tuple <int, string> >();
PointsModel.Axes.Add(new CategoryAxis {
ItemsSource = _iterations, LabelField = "Item2"
});
CountModel.Axes.Add(new CategoryAxis {
ItemsSource = _iterations, LabelField = "Item2"
});
PointsModel.Axes.Add(new LinearAxis {
MinimumPadding = 0, AbsoluteMinimum = 0
});
CountModel.Axes.Add(new LinearAxis {
MinimumPadding = 0, AbsoluteMinimum = 0
});
PointsModel.Series.Add(new ColumnSeries {
ColumnWidth = 10, IsStacked = true
});
CountModel.Series.Add(new ColumnSeries {
ColumnWidth = 10, IsStacked = true
});
ChangeModel.Axes.Add(new CategoryAxis {
ItemsSource = _iterations, LabelField = "Item2"
});
ChangeModel.Axes.Add(new LinearAxis {
MinimumPadding = 0, AbsoluteMinimum = 0
});
ChangeModel.Series.Add(new ColumnSeries {
ColumnWidth = 10, IsStacked = true
});
SumModel.Axes.Add(new CategoryAxis {
ItemsSource = _iterations, LabelField = "Item2"
});
SumModel.Axes.Add(new LinearAxis {
MinimumPadding = 0, AbsoluteMinimum = 0
});
SumModel.Series.Add(new ColumnSeries {
ColumnWidth = 10, IsStacked = true
});
UpdateModels();
InitializeComponent();
Iteration = 0;
var D = SPDAssets.GenerateLegend(Legenda.Height, _strategyCount);
_width = _strategies.GetLength(0);
_height = _strategies.GetLength(1);
var image2 = new Image
{
Source = GenerateImage(_spd, 0, 0, _strategies.GetLength(0), _strategies.GetLength(1))
};
Canvas.SetTop(D, 0);
Canvas.SetLeft(D, 0);
Legenda.Children.Add(D);
Canvas.Children.Add(image2);
}
/// <summary>
/// Konstruktor okna realizującego symulacje
/// </summary>
/// <param name="PayValues">Tablica zawierająca informacje wyekstrahowane z macierzy wypłat </param>
/// <param name="strategies">Tablica zawierająca początkowe strategie w automacie</param>
/// <param name="torus">Zmienna informująca czy obliczenia automatu realizowane są na torusie</param>
/// <param name="vonneumann">Zmienna informująca czy obliczenia automatu realizowane są z sąsiedztwem Von Neumanna</param>
public SPDView(PointMatrixPick Matrix, int[,] strategies, int _neighboursCount, INeighbourhood _neighbourhood)
{
_tooltip = -1;
_strategyCount = 2 + _neighboursCount;
_sumPointsHistory = new List<double[]>();
_sumPoints = new double[_strategyCount];
DataContext = this;
pointMatrixPick = Matrix;
float[,] fakePoints = new float[strategies.GetLength(0), strategies.GetLength(1)];
AddHistory(strategies,fakePoints);
for (int i = 0; i < _sumPoints.Length; i++) _sumPoints[i] = 0;
_strategies = strategies;
neighbourhood = _neighbourhood;
#if DEBUG
var threadNum = 1; //debugging purposes DON'T remove
#else
var threadNum = 16;
#endif
_strategyDictionary = GenerateIntegerStrategies(_strategyCount);
_spd =
new SPD.Engine.SPD(
Matrix.Function,
neighbourhood, strategies,
_strategyDictionary, 10, threadNum, Matrix.ModifiedPointCounting ? OptimizationKind.Relative : OptimizationKind.Absolute);
Speed = 1;
PointsModel = new PlotModel();
CountModel = new PlotModel();
ChangeModel = new PlotModel();
SumModel = new PlotModel();
PointsModel.Title = "Średnie wartości punktowe";
CountModel.Title = "Liczebność strategii";
ChangeModel.Title = "Niestabilność układu";
SumModel.Title = "Punkty dla strategii zagregowane";
_iterations = new List<Tuple<int, string>>();
PointsModel.Axes.Add(new CategoryAxis { ItemsSource = _iterations, LabelField = "Item2" });
CountModel.Axes.Add(new CategoryAxis { ItemsSource = _iterations, LabelField = "Item2" });
PointsModel.Axes.Add(new LinearAxis { MinimumPadding = 0, AbsoluteMinimum = 0 });
CountModel.Axes.Add(new LinearAxis { MinimumPadding = 0, AbsoluteMinimum = 0 });
PointsModel.Series.Add(new ColumnSeries { ColumnWidth = 10, IsStacked = true });
CountModel.Series.Add(new ColumnSeries { ColumnWidth = 10, IsStacked = true });
ChangeModel.Axes.Add(new CategoryAxis { ItemsSource = _iterations, LabelField = "Item2" });
ChangeModel.Axes.Add(new LinearAxis { MinimumPadding = 0, AbsoluteMinimum = 0 });
ChangeModel.Series.Add(new ColumnSeries {ColumnWidth = 10, IsStacked = true});
SumModel.Axes.Add(new CategoryAxis { ItemsSource = _iterations, LabelField = "Item2" });
SumModel.Axes.Add(new LinearAxis { MinimumPadding = 0, AbsoluteMinimum = 0 });
SumModel.Series.Add(new ColumnSeries { ColumnWidth = 10, IsStacked = true });
UpdateModels();
InitializeComponent();
Iteration = 0;
var D = SPDAssets.GenerateLegend(Legenda.Height, _strategyCount);
_width = _strategies.GetLength(0);
_height = _strategies.GetLength(1);
var image2 = new Image
{
Source = GenerateImage(_spd, 0, 0, _strategies.GetLength(0), _strategies.GetLength(1))
};
Canvas.SetTop(D, 0);
Canvas.SetLeft(D, 0);
Legenda.Children.Add(D);
Canvas.Children.Add(image2);
}
