internal void PrepareValues(int seed, int terrainSize, int quantity, int evaluationFunction, int octave)
{
// Preparing the Random Seed and other Stuff
this.evaluationFunction = evaluationFunction;
this.octaveHelper = octave * 2;
rng = new Random(seed);
sizeCompensator = TerrainUtilities.GetSizeCompensator(terrainSize);
CreateGrid(terrainSize, (float)quantity);
}
internal float Evaluate(int x, int z)
{
float value = 0;
if (cellSize > 3)
{
int[] cellAndNeighbourCells = TerrainUtilities.GetPositionAndNeighbours((x + cellSize * octaveHelper) / cellSize, (z + cellSize * octaveHelper) / cellSize, cellQuantity);
float[] distances = new float[cellAndNeighbourCells.Length];
for (int i = 0; i < cellAndNeighbourCells.Length; i++)
{
// Euclidian Distance
int lengthX = 0;
int lengthZ = 0;
if (x > featurePoints[cellAndNeighbourCells[i], 0])
{
lengthX = x - featurePoints[cellAndNeighbourCells[i], 0];
}
else
{
lengthX = featurePoints[cellAndNeighbourCells[i], 0] - x;
}
if (z > featurePoints[cellAndNeighbourCells[i], 1])
{
lengthZ = z - featurePoints[cellAndNeighbourCells[i], 1];
}
else
{
lengthZ = featurePoints[cellAndNeighbourCells[i], 1] - z;
}
float currentDistance = (float)Math.Sqrt((double)(lengthX * lengthX + lengthZ * lengthZ));
distances[i] = currentDistance;
}
Array.Sort(distances);
value = distances[evaluationFunction - 1] / (sizeCompensator * 2);
}
return(value);
}
