internal static void CreateNeurons(out Neuron_SensorPosition[] neuronsR, out Neuron_SensorPosition[] neuronsG, out Neuron_SensorPosition[] neuronsB, out OverlayResult[][] overlayR, out OverlayResult[][] overlayG, out OverlayResult[][] overlayB, out int pixelWidthHeight, ShipPartDNA dna, ItemOptions itemOptions, double neuronDensity)
{
const int MINPIXELWIDTH = 16;
#region Calculate counts
// Figure out how many neurons to make
//NOTE: This radius isn't taking SCALE into account. The other neural parts do this as well, so the neural density properties can be more consistent
double radius = (dna.Scale.X + dna.Scale.Y + dna.Scale.Z) / (3d * 2d); // xyz should all be the same anyway
double area = Math.Pow(radius, itemOptions.Sensor_NeuronGrowthExponent);
int neuronCount = Convert.ToInt32(Math.Ceiling(neuronDensity * area));
if (neuronCount == 0)
{
neuronCount = 1;
}
// Figure out how many pixels to make
pixelWidthHeight = neuronCount / 9; // dividing by 3 to get the number of neurons in a single plate. divide that by 3, because that's a good ratio of neuron cells to pixels
if (pixelWidthHeight < MINPIXELWIDTH)
{
pixelWidthHeight = MINPIXELWIDTH;
}
#endregion
#region Neurons
// Place them evenly in a sphere
//NOTE: An interesting side effect of calling this for each generation is that the parent may not have been perfectly evenly spaced, but calling this
//again will slightly refine the positions
Vector3D[][] positions = GetNeuronPositions(dna.Neurons, neuronCount, 3, radius);
// Create neurons
neuronsR = positions[0].Select(o => new Neuron_SensorPosition(o.ToPoint(), true)).ToArray();
neuronsG = positions[1].Select(o => new Neuron_SensorPosition(o.ToPoint(), true)).ToArray();
neuronsB = positions[2].Select(o => new Neuron_SensorPosition(o.ToPoint(), true)).ToArray();
#endregion
#region Polygons around neurons
// Figure out which pixels each neuron intersects with
VoronoiResult2D[] voronoi = new VoronoiResult2D[3];
voronoi[0] = Math2D.CapVoronoiCircle(Math2D.GetVoronoi(positions[0].Select(o => new Point(o.X, o.Y)).ToArray(), true));
voronoi[1] = Math2D.CapVoronoiCircle(Math2D.GetVoronoi(positions[1].Select(o => new Point(o.X, o.Y)).ToArray(), true));
voronoi[2] = Math2D.CapVoronoiCircle(Math2D.GetVoronoi(positions[2].Select(o => new Point(o.X, o.Y)).ToArray(), true));
#region Figure out the extremes
Point[] allEdgePoints = voronoi.SelectMany(o => o.EdgePoints).ToArray();
Point min = new Point(allEdgePoints.Min(o => o.X), allEdgePoints.Min(o => o.Y));
Point max = new Point(allEdgePoints.Max(o => o.X), allEdgePoints.Max(o => o.Y));
double width = max.X - min.X;
double height = max.Y - min.Y;
// Enlarge a bit
min.X -= width * .05d;
min.Y -= height * .05d;
max.X += width * .05d;
max.Y += height * .05d;
width = max.X - min.X;
height = max.Y - min.Y;
Vector offset = new Vector(-min.X, -min.Y);
#endregion
// Figure out which pixels each polygon overlaps
overlayR = GetIntersections(new Size(width, height), pixelWidthHeight, pixelWidthHeight, GetPolygons(voronoi[0], offset));
overlayG = GetIntersections(new Size(width, height), pixelWidthHeight, pixelWidthHeight, GetPolygons(voronoi[1], offset));
overlayB = GetIntersections(new Size(width, height), pixelWidthHeight, pixelWidthHeight, GetPolygons(voronoi[2], offset));
#endregion
}
internal static void CreateNeurons(out Neuron_SensorPosition[] neuronsR, out Neuron_SensorPosition[] neuronsG, out Neuron_SensorPosition[] neuronsB, out OverlayResult[][] overlayR, out OverlayResult[][] overlayG, out OverlayResult[][] overlayB, out int pixelWidthHeight, ShipPartDNA dna, ItemOptions itemOptions, double neuronDensity)
{
const int MINPIXELWIDTH = 16;
#region Calculate counts
// Figure out how many neurons to make
//NOTE: This radius isn't taking SCALE into account. The other neural parts do this as well, so the neural density properties can be more consistent
double radius = (dna.Scale.X + dna.Scale.Y + dna.Scale.Z) / (3d * 2d); // xyz should all be the same anyway
double area = Math.Pow(radius, itemOptions.Sensor_NeuronGrowthExponent);
int neuronCount = Convert.ToInt32(Math.Ceiling(neuronDensity * area));
if (neuronCount == 0)
{
neuronCount = 1;
}
// Figure out how many pixels to make
pixelWidthHeight = neuronCount / 9; // dividing by 3 to get the number of neurons in a single plate. divide that by 3, because that's a good ratio of neuron cells to pixels
if (pixelWidthHeight < MINPIXELWIDTH)
{
pixelWidthHeight = MINPIXELWIDTH;
}
#endregion
#region Neurons
// Place them evenly in a sphere
//NOTE: An interesting side effect of calling this for each generation is that the parent may not have been perfectly evenly spaced, but calling this
//again will slightly refine the positions
Vector3D[][] positions = GetNeuronPositions(dna.Neurons, neuronCount, 3, radius);
// Create neurons
neuronsR = positions[0].Select(o => new Neuron_SensorPosition(o.ToPoint(), true)).ToArray();
neuronsG = positions[1].Select(o => new Neuron_SensorPosition(o.ToPoint(), true)).ToArray();
neuronsB = positions[2].Select(o => new Neuron_SensorPosition(o.ToPoint(), true)).ToArray();
#endregion
#region Polygons around neurons
// Figure out which pixels each neuron intersects with
VoronoiResult2D[] voronoi = new VoronoiResult2D[3];
voronoi[0] = Math2D.CapVoronoiCircle(Math2D.GetVoronoi(positions[0].Select(o => new Point(o.X, o.Y)).ToArray(), true));
voronoi[1] = Math2D.CapVoronoiCircle(Math2D.GetVoronoi(positions[1].Select(o => new Point(o.X, o.Y)).ToArray(), true));
voronoi[2] = Math2D.CapVoronoiCircle(Math2D.GetVoronoi(positions[2].Select(o => new Point(o.X, o.Y)).ToArray(), true));
#region Figure out the extremes
Point[] allEdgePoints = voronoi.SelectMany(o => o.EdgePoints).ToArray();
Point min = new Point(allEdgePoints.Min(o => o.X), allEdgePoints.Min(o => o.Y));
Point max = new Point(allEdgePoints.Max(o => o.X), allEdgePoints.Max(o => o.Y));
double width = max.X - min.X;
double height = max.Y - min.Y;
// Enlarge a bit
min.X -= width * .05d;
min.Y -= height * .05d;
max.X += width * .05d;
max.Y += height * .05d;
width = max.X - min.X;
height = max.Y - min.Y;
Vector offset = new Vector(-min.X, -min.Y);
#endregion
// Figure out which pixels each polygon overlaps
overlayR = GetIntersections(new Size(width, height), pixelWidthHeight, pixelWidthHeight, GetPolygons(voronoi[0], offset));
overlayG = GetIntersections(new Size(width, height), pixelWidthHeight, pixelWidthHeight, GetPolygons(voronoi[1], offset));
overlayB = GetIntersections(new Size(width, height), pixelWidthHeight, pixelWidthHeight, GetPolygons(voronoi[2], offset));
#endregion
}
