public PuzzleState(PuzzleState parent, Heuristic_ways tmp) : base(parent)
{
this.table = new int[PuzzleSize, PuzzleSize];
Array.Copy(tmp.Table, this.table, this.table.Length);
// ciało konstruktora
this.id = tmp.ID;
id_list.Add(this.id);
this.x = tmp.x;
this.y = tmp.y;
if (tmp.h != 0)
{
Heuristic_vector(x, y);
}
this.h = tmp.h;
//W stanie w ktorym jestesmy droga jest o jeden większa niż w rodzicu
this.g = parent.g + 1;
}
public void Heuristic_vector(int x, int y)
{
#region Generowanie vektora heurystyk
Heuristic_ways htmp;
int x_tmp = x;
int y_tmp = y;
int tmp;
#region gora
htmp = new Heuristic_ways(1);
htmp.Table = (int[, ])Table.Clone();
if ((x_tmp - 1) >= 0 && (x_tmp - 1) < puzzleSize)
{
tmp = htmp.Table[x_tmp, y];
htmp.Table[x_tmp, y] = htmp.Table[x_tmp - 1, y];
htmp.Table[x_tmp - 1, y] = tmp;
x_tmp--;
htmp.h = ComputeHeuristicGrade(htmp.Table);
}
else
{
htmp.h = infinity;
}
htmp.x = x_tmp;
htmp.y = y_tmp;
htmp.id_generate();
Heuristic_vetor.Add(htmp);
#endregion //gora
#region dol
x_tmp = x;
y_tmp = y;
htmp = new Heuristic_ways(2);
htmp.Table = (int[, ])Table.Clone();
if ((x_tmp + 1) >= 0 && (x_tmp + 1) < puzzleSize)
{
tmp = htmp.Table[x_tmp, y_tmp];
htmp.Table[x_tmp, y_tmp] = htmp.Table[x_tmp + 1, y_tmp];
htmp.Table[x_tmp + 1, y_tmp] = tmp;
x_tmp++;
htmp.h = ComputeHeuristicGrade(htmp.Table);
}
else
{
htmp.h = infinity;
}
htmp.x = x_tmp;
htmp.y = y_tmp;
htmp.id_generate();
Heuristic_vetor.Add(htmp);
#endregion //dol
#region lewo
x_tmp = x;
y_tmp = y;
htmp = new Heuristic_ways(3);
htmp.Table = (int[, ])Table.Clone();
if ((y - 1) >= 0 && (y - 1) < puzzleSize)
{
tmp = htmp.Table[x_tmp, y_tmp];
htmp.Table[x_tmp, y_tmp] = htmp.Table[x_tmp, y_tmp - 1];
htmp.Table[x_tmp, y_tmp - 1] = tmp;
y_tmp--;
htmp.h = ComputeHeuristicGrade(htmp.Table);
}
else
{
htmp.h = infinity;
}
htmp.x = x_tmp;
htmp.y = y_tmp;
htmp.id_generate();
Heuristic_vetor.Add(htmp);
#endregion //lewo
#region prawo
x_tmp = x;
y_tmp = y;
htmp = new Heuristic_ways(4);
htmp.Table = (int[, ])Table.Clone();
if ((y_tmp + 1) >= 0 && (y_tmp + 1) < puzzleSize)
{
tmp = htmp.Table[x_tmp, y_tmp];
htmp.Table[x_tmp, y_tmp] = htmp.Table[x_tmp, y_tmp + 1];
htmp.Table[x_tmp, y_tmp + 1] = tmp;
y_tmp++;
htmp.h = ComputeHeuristicGrade(htmp.Table);
}
else
{
htmp.h = infinity;
}
htmp.x = x_tmp;
htmp.y = y_tmp;
htmp.id_generate();
Heuristic_vetor.Add(htmp);
#endregion //prawo
#endregion //Generowanie vektora heurystyk
}
