public HyperRect <T> Clone()
{
var rect = new HyperRect <T>();
rect.MinPoint = MinPoint;
rect.MaxPoint = MaxPoint;
return(rect);
}
public static HyperRect <T> Infinite(int dimensions, T minValue, T maxValue)//, ITypeMath<T> math = null)
{
var rect = new HyperRect <T>();
rect.MinPoint = new T[dimensions];
rect.MaxPoint = new T[dimensions];
for (var dimension = 0; dimension < dimensions; dimension++)
{
//rect.MinPoint[dimension] = math.NegativeInfinity;
//rect.MaxPoint[dimension] = math.PositiveInfinity;
rect.MinPoint[dimension] = minValue;
rect.MaxPoint[dimension] = maxValue;
}
return(rect);
}
public Node[] RadialSearch(GetIndex <K> center, K radius, int count)
{
var nearestNeighbours = new NearestNeighbourList <Node, K>(count, this._minValue, this._compareKey);
AddNearestNeighbours(
_root,
center,
HyperRect <K> .Infinite(_dimensions, this._minValue, this._maxValue, this._compareKey),
0,
nearestNeighbours,
this._multiply(radius, radius));
count = nearestNeighbours.Count;
var neighbourArray = new Node[count];
for (var index = 0; index < count; index++)
{
neighbourArray[count - index - 1] = nearestNeighbours.RemoveFurtherest();
}
return(neighbourArray);
}
public Node[] GetNearestNeighbours(GetIndex <K> point, int count)
{
if (count > Count)
{
count = Count;
}
if (count < 0)
{
throw new ArgumentException("Number of neighbors cannot be negative");
}
if (count == 0)
{
return(new Node[0]);
}
var neighbours = new Node[count];
var nearestNeighbours = new NearestNeighbourList <Node, K>(count, this._minValue, this._compareKey);
var rect = HyperRect <K> .Infinite(_dimensions, this._minValue, this._maxValue, this._compareKey);
AddNearestNeighbours(_root, point, rect, 0, nearestNeighbours, this._maxValue);
count = nearestNeighbours.Count;
var neighbourArray = new Node[count];
for (var index = 0; index < count; index++)
{
neighbourArray[count - index - 1] = nearestNeighbours.RemoveFurtherest();
}
return(neighbourArray);
}
internal void AddNearestNeighbours(
Node node,
GetIndex <K> target,
HyperRect <K> rect,
int depth,
NearestNeighbourList <Node, K> nearestNeighbours,
K maxSearchRadiusSquared)
{
if (node == null)
{
return;
}
// Work out the current dimension
int dimension = depth % _dimensions;
// Split our hyper-rect into 2 sub rects along the current
// node's point on the current dimension
var leftRect = rect.Clone();
leftRect.MaxPoint[dimension] = this._locate(node.Value)(dimension);
var rightRect = rect.Clone();
rightRect.MinPoint[dimension] = this._locate(node.Value)(dimension);
// Which side does the target reside in?
CompareResult compareTargetPoint = this._compareKey(target(dimension), this._locate(node.Value)(dimension));
int compareTargetPoint_as_int;
switch (compareTargetPoint)
{
case Equal:
compareTargetPoint_as_int = 0;
break;
case Less:
compareTargetPoint_as_int = -1;
break;
case Greater:
compareTargetPoint_as_int = 1;
break;
default:
throw new System.NotImplementedException();
}
var nearerRect = compareTargetPoint_as_int <= 0 ? leftRect : rightRect;
var furtherRect = compareTargetPoint_as_int <= 0 ? rightRect : leftRect;
var nearerNode = compareTargetPoint_as_int <= 0 ? node.LeftChild : node.RightChild;
var furtherNode = compareTargetPoint_as_int <= 0 ? node.RightChild : node.LeftChild;
// Let's walk down into the nearer branch
if (nearerNode != null)
{
AddNearestNeighbours(
nearerNode,
target,
nearerRect,
depth + 1,
nearestNeighbours,
maxSearchRadiusSquared);
}
K distanceSquaredToTarget;
// Walk down into the further branch but only if our capacity hasn't been reached
// OR if there's a region in the further rect that's closer to the target than our
// current furtherest nearest neighbour
GetIndex <K> closestPointInFurtherRect = furtherRect.GetClosestPoint(target, this._dimensions);
distanceSquaredToTarget = DistanceSquaredBetweenPoints(closestPointInFurtherRect, target);
if (this._compareKey(distanceSquaredToTarget, maxSearchRadiusSquared) == (Less | Equal))
{
if (nearestNeighbours.IsCapacityReached)
{
if (this._compareKey(distanceSquaredToTarget, nearestNeighbours.GetFurtherestDistance()) == Less)
{
AddNearestNeighbours(
furtherNode,
target,
furtherRect,
depth + 1,
nearestNeighbours,
maxSearchRadiusSquared);
}
}
else
{
AddNearestNeighbours(
furtherNode,
target,
furtherRect,
depth + 1,
nearestNeighbours,
maxSearchRadiusSquared);
}
}
// Try to add the current node to our nearest neighbours list
distanceSquaredToTarget = DistanceSquaredBetweenPoints(this._locate(node.Value), target);
if (this._compareKey(distanceSquaredToTarget, maxSearchRadiusSquared) == (Less | Equal))
{
nearestNeighbours.Add(node, distanceSquaredToTarget);
}
}