public static void CerrularAutmataStep(this Grid grid, Grid referenceMatrix, Neighbourhood strategy, int x = 100)
{
NeighbourhoodCalculation neighbourAction = NeighbourhoodActive.MooreActivation;
switch (strategy)
{
case Neighbourhood.Moore:
{
neighbourAction = NeighbourhoodActive.MooreActivation;
break;
}
case Neighbourhood.VonNeumann:
{
neighbourAction = NeighbourhoodActive.VonNeumannActivation;
break;
}
case Neighbourhood.MooreExtented:
{
neighbourAction = NeighbourhoodActive.MooreExtented;
break;
}
}
var random = new Random();
Parallel.For(0, grid.Width, (i) => {
Parallel.For(0, grid.Height, (j) => {
if (!grid.NotEmptyCells[i, j])
{
neighbourAction(grid,
new Cell(i, j),
referenceMatrix.Cells,
strategy == Neighbourhood.MooreExtented ? random.Next(100) : 1,
x);
}
});
});
}
public static void AddCAStep(this Matrix matrix, Matrix referenceMatrix, Neighbourhood strategy, int x = 100)
{
NeighbourhoodCalculation neighbourAction = NeighbourhoodActions.MooreAction;
switch (strategy)
{
case Neighbourhood.Moore:
{
neighbourAction = NeighbourhoodActions.MooreAction;
break;
}
case Neighbourhood.VonNeumann:
{
neighbourAction = NeighbourhoodActions.VonNeumannAction;
break;
}
case Neighbourhood.ShapeControl:
{
neighbourAction = NeighbourhoodActions.ShapeControlAction;
break;
}
}
var random = new Random();
Parallel.For(0, matrix.Width, (i) => {
Parallel.For(0, matrix.Height, (j) => {
if (!matrix.NotEmptyCells[i, j])
{
neighbourAction(matrix,
new Cell(i, j),
referenceMatrix.Cells,
strategy == Neighbourhood.ShapeControl ? random.Next(100) : 1,
x);
}
});
});
}
