private static float GetVornoiHeight(bool domainMap, float voronoiScale, PeakDistance d1, PeakDistance d2, int tx, int ty, double voronoiCells, List <Peak> voronoiSet, SpanningTree tree)
{
if (domainMap)
{
var peakOne = voronoiSet[d1.Id];
var peakTwo = voronoiSet[d2.Id];
var hScore = peakOne.PeakHeight;
if (tree.IsEdgeBetweenVectors(peakOne.PeakPoint, peakTwo.PeakPoint))
{
hScore = GetSlopeHeight(d1, d2, voronoiSet);
}
return(hScore);
}
else
{
var scale = (float)(Math.Abs(d1.Dist - d2.Dist) / ((tx + ty) / Math.Sqrt(voronoiCells)));
var peakOne = voronoiSet[d1.Id];
var h1 = peakOne.PeakHeight;
var hScore = h1 - Math.Abs(d1.Dist / d2.Dist) * h1;
hScore = (hScore * scale * voronoiScale) + (hScore * (1.0f - voronoiScale));
return(hScore);
}
}
private static float GetSlopeHeight(PeakDistance d1, PeakDistance d2, List <Peak> voronoiSet)
{
var pos = d1.Dist / (d1.Dist + d2.Dist);
if (pos < 0.3)
{
return(voronoiSet[d1.Id].PeakHeight);
}
if (pos > 0.7)
{
return(voronoiSet[d2.Id].PeakHeight);
}
pos = (pos - 0.3f) * 2.5f;
var dif = voronoiSet[d2.Id].PeakHeight - voronoiSet[d1.Id].PeakHeight;
return(dif * pos + voronoiSet[d1.Id].PeakHeight);
}
/*protected internal float[,] GenerateCutPattern()
* {
* var tx = (int)_arraySize.X;
* var ty = (int)_arraySize.Y;
* var cutPattern = new float[tx,ty];
* var tree = new PeakSearchTree(_voronoiSet, 30);
* Console.WriteLine("NearestPeakAmount:" + tree.GetNearestPeaks(10, 10, 1).Count);
*
* //delete center Pieces
* var centerDistances = PeakDistances(_voronoiSet, (int)_arraySize.X / 2, (int)_arraySize.Y / 2);
* var toDelete = _voronoiSet.ToArray();
* for (var i = 0; i < centerDistances.Count*0.25; i++)
* {
* _voronoiSet.Remove(toDelete[((PeakDistance)centerDistances[i]).Id]);
* }
*
*
* for (var x = 0; x < _arraySize.X; x++)
* {
* var peakDistances = PeakDistances(_voronoiSet, x, 0);
* var peak = _voronoiSet[((PeakDistance)peakDistances[0]).Id];
* peak.PeakHeight = 0f;
* peakDistances = PeakDistances(_voronoiSet, x, (int)_arraySize.Y - 1);
* peak = _voronoiSet[((PeakDistance)peakDistances[0]).Id];
* peak.PeakHeight = 0f;
* }
*
* for (var x = 0; x <=1; x++)
* {
* x *= (int) _arraySize.X-1;
* for (var y = 0; y < _arraySize.Y; y++)
* {
* var peakDistances = PeakDistances(_voronoiSet, x, y);
* var peak = _voronoiSet[((PeakDistance)peakDistances[0]).Id];
* peak.PeakHeight = 0f;
* }
*
* }
*
* //Colorize pixels
* //_voronoiSet = voronoiSetCopy;
* for (var my = 0; my < ty; my++)
* {
* for (var mx = 0; mx < tx; mx++)
* {
* var peakDistances = PeakDistances(_voronoiSet, mx, my);
* var peak = _voronoiSet[((PeakDistance) peakDistances[0]).Id];
* var hScore = peak.PeakHeight;
* hScore = (int)(hScore*1000) == 0 ? 0.0f : 1.0f;
* cutPattern[mx, my] = hScore;
* }
* }
* return cutPattern;
* }*/
private static ArrayList PeakDistances(List <Peak> voronoiSet, int mx, int my)
{
var peakDistances = new ArrayList();
int i;
for (i = 0; i < voronoiSet.Count; i++)
{
var peakI = voronoiSet[i];
var peakPoint = peakI.PeakPoint;
var distanceToPeak = (peakPoint - new Vector2(mx, my)).magnitude;
var newPeakDistance = new PeakDistance {
Id = i, Dist = distanceToPeak
};
peakDistances.Add(newPeakDistance);
//if (mx == 0) Debug.Log(mx + "/" + my + ": " + _voronoiSet[i].PeakPoint);
}
peakDistances.Sort();
return(peakDistances);
}
