public void getTree()
{
System.IO.Directory.CreateDirectory(System.IO.Path.Combine(Environment.CurrentDirectory, @"Data\"));
if (tree == null)
{
RTree.RTree <DataPoint> tree = SaveDataController.ReadFromBinaryFile <RTree.RTree <DataPoint> >(System.IO.Path.Combine(Environment.CurrentDirectory, @"Data\", fileName));
//not created before
tree.locker = new System.Threading.ReaderWriterLock();
if (tree.Count == 0)
{
//query database
DATNEntities entities = new DATNEntities();
var query = from p in entities.DataPoints
select p;
List <DataPoint> listItem = query.ToList();
tree = new RTree.RTree <DataPoint>(listItem.Count > 9 ? 9 : listItem.Count / 2, 2);
int count = 0;
foreach (DataPoint p in listItem)
{
count++;
Debug.WriteLine("INTOP - " + count);
RTree.Rectangle rect = new RTree.Rectangle((float)p.rating, (float)p.star, (float)p.rating, (float)p.star, 0, 0);
tree.Add(rect, p);
}
SaveDataController.WriteToBinaryFile(System.IO.Path.Combine(Environment.CurrentDirectory, @"Data\", fileName), tree);
}
this.tree = tree;
treeHelper = new TreeHelper(tree);
}
}
/// <summary>
/// Checks if the two-dimensional rectangle is completely inside
/// the two-dimensional circle.
/// </summary>
/// <remarks>
/// A rectangle is inside a circle if all 4 corners are inside the
/// circle.
/// </remarks>
/// <param name="r">The rectangle.</param>
/// <returns>True if the rectangle is inside the circle; false
/// otherwise.</returns>
public bool Contains(Rectangle r)
{
return Contains(new Point(r.min[0], r.min[1])) &&
Contains(new Point(r.min[0], r.max[1])) &&
Contains(new Point(r.max[0], r.min[1])) &&
Contains(new Point(r.max[0], r.max[1]));
}
public static bool Intersect(double x1, double y1, double x2, double y2, Circle cir)
{
Rectangle rec = new Rectangle((float)x1,
(float)y1,
(float)x2,
(float)y2,
0,
0);
return Intersect(rec, cir);
}
public static bool Intersect(Rectangle rec, Circle cir)
{
if (rec == null || cir == null)
throw new ArgumentNullException();
if (rec.distance(cir.Center) == 0)
return true;
if (rec.distance(cir.Center) > cir.Radius)
return false;
return true;
}
public MBRModel <DataPoint> getRoot()
{
//getTree();
//get root after add to tree
RTree.Rectangle bounds = tree.getBounds();
DataPoint upperRight = new DataPoint(bounds.get(0).GetValueOrDefault().max, bounds.get(1).GetValueOrDefault().max);
DataPoint lowerLeft = new DataPoint(bounds.get(0).GetValueOrDefault().min, bounds.get(1).GetValueOrDefault().min);
//retrun root
return(new MBRModel <DataPoint>(lowerLeft, upperRight, tree.getNode(tree.getRootNodeId())));
}
public MBRModel <WeightVector> getRoot()
{
//getTree();
//get root after add to tree
RTree.Rectangle bounds = tree.getBounds();
WeightVector upperRight = new WeightVector(bounds.get(0).GetValueOrDefault().max, bounds.get(1).GetValueOrDefault().max);
WeightVector lowerLeft = new WeightVector(bounds.get(0).GetValueOrDefault().min, bounds.get(1).GetValueOrDefault().min);
//retrun root
return(new MBRModel <WeightVector>(lowerLeft, upperRight));
}
private static void BuildTree()
{
Stopwatch watch = new Stopwatch ();
watch.Start ();
sensable_tree = new RTree<Sensable> (sensables.Count, sensables.Count);
foreach (Sensable sensable in sensables) {
var pos = sensable.transform.position;
var rect = new Rectangle (new float[]{ pos.x, pos.y, pos.z }, new float[]{ pos.x, pos.y, pos.z });
sensable_tree.Add (rect, sensable);
}
watch.Stop ();
if (watch.Elapsed.TotalMilliseconds > 0)
UnityEngine.Debug.Log ("BUILD TREE: " + watch.Elapsed.TotalMilliseconds.ToString ());
}
static List<Rectangle> getPoint(string w, int d)
{
List<Rectangle> pnts = new List<Rectangle>();
int[] hist = Util.hist(w);
for (int i = 0; i <= level; i++)
{
int[] m = Util.summarize_hist(hist, i);
Point p = null;
if (exact)
p = new Point(m, m.Length);
else
p = new Point(m[0], m[0 + m.Length / 2]);
Rectangle r = new Rectangle(p);
pnts.Add(r.extend(d));
}
return pnts;
}
/**
* Calculate the area by which this rectangle would be enlarged if
* added to the passed rectangle. Neither rectangle is altered.
*
* @param r Rectangle to union with this rectangle, in order to
* compute the difference in area of the union and the
* original rectangle
*/
public float enlargement(Rectangle r)
{
float enlargedArea = (Math.Max(max[0], r.max[0]) - Math.Min(min[0], r.min[0])) *
(Math.Max(max[1], r.max[1]) - Math.Min(min[1], r.min[1]));
return enlargedArea - area();
}
/**
* Determine whether an edge of this rectangle overlies the equivalent
* edge of the passed rectangle
*/
public bool edgeOverlaps(Rectangle r)
{
for (int i = 0; i < DIMENSIONS; i++)
{
if (min[i] == r.min[i] || max[i] == r.max[i])
{
return true;
}
}
return false;
}
/**
* Return the furthst possible distance between this rectangle and
* the passed rectangle.
*
* Find the distance between this rectangle and each corner of the
* passed rectangle, and use the maximum.
*
*/
public float furthestDistance(Rectangle r)
{
float distanceSquared = 0;
for (int i = 0; i < DIMENSIONS; i++)
{
distanceSquared += Math.Max(r.min[i], r.max[i]);
#warning possible didn't convert properly
//distanceSquared += Math.Max(distanceSquared(i, r.min[i]), distanceSquared(i, r.max[i]));
}
return (float)Math.Sqrt(distanceSquared);
}
/**
* Find the the union of this rectangle and the passed rectangle.
* Neither rectangle is altered
*
* @param r The rectangle to union with this rectangle
*/
internal Rectangle union(Rectangle r)
{
Rectangle union = this.copy();
union.add(r);
return union;
}
/**
* Return the distance between this rectangle and the passed rectangle.
* If the rectangles overlap, the distance is zero.
*
* @param r Rectangle to find the distance to
*
* @return distance between this rectangle and the passed rectangle
*/
public float distance(Rectangle r)
{
float distanceSquared = 0;
for (int i = 0; i < DIMENSIONS; i++)
{
float greatestMin = Math.Max(min[i], r.min[i]);
float leastMax = Math.Min(max[i], r.max[i]);
if (greatestMin > leastMax)
{
distanceSquared += ((greatestMin - leastMax) * (greatestMin - leastMax));
}
}
return (float)Math.Sqrt(distanceSquared);
}
public static void Draw()
{
canvas.Width = canvas.Width;
context.Save();
context.Translate(-Offset.X, -Offset.Y);
context.Save();
context.StrokeStyle = "black";
var bigBox = 60;
var rect = new Rectangle(Offset.X, Offset.Y, Offset.X + canvas.Width, Offset.Y + canvas.Height);
for (int x = 0; x < gameSize; x += bigBox)
{
for (int y = 0; y < gameSize; y += bigBox)
{
context.StrokeRect(x * squareSize, y * squareSize, squareSize * bigBox, squareSize * bigBox);
}
}
context.Restore();
foreach (var playerCluster in clusters)
{
var vector2s = playerCluster.Players.Select(a => new Vector2(a.X, a.Y));
var box = BoundingBox.CreateFromPoints(vector2s);
var center = new Vector2(box.Min.X + ((box.Max.X - box.Min.X) / 2), box.Min.Y + ((box.Max.Y - box.Min.Y) / 2));
var polyRect = new Rectangle(box.Min.X * squareSize, box.Min.Y * squareSize, box.Max.X * squareSize, box.Max.Y * squareSize);
if (!rect.intersects(polyRect))
{
continue;
}
var vecs = vector2s.OrderBy(a =>
{
return Math.Atan2(a.Y - center.Y, a.X - center.X);
});
context.Save();
context.StrokeStyle = context.FillStyle = playerCluster.Color;
context.LineWidth = 6;
var lastPlayer = vecs[0];
context.BeginPath();
context.MoveTo(lastPlayer.X * squareSize + squareSize / 2, lastPlayer.Y * squareSize + squareSize / 2);
for (int index = 0; index < vecs.Length; index++)
{
var player = vecs[index];
context.FillRect(player.X * squareSize - (squareSize) / 2, player.Y * squareSize - (squareSize) / 2, squareSize*2, squareSize*2);
context.LineTo(player.X * squareSize + squareSize / 2, player.Y * squareSize + squareSize / 2);
}
context.ClosePath();
if (drawLines)
{
context.Stroke();
}
context.Restore();
context.Save();
context.Font = "30px Arial";
if (vecs.Length > 2)
{
context.FillText(vecs.Length.ToString(), center.X * squareSize + squareSize / 2, center.Y * squareSize + squareSize / 2);
}
context.Restore();
}
context.Restore();
}
/// <summary>
/// Returns a list of features that intersect with the specified rectangle.
/// </summary>
/// <param name="r">The intersection rectangle.</param>
/// <returns></returns>
public FdoFeature[] Intersects(Rectangle r)
{
return _tree.Intersects(r).ToArray();
}
public Group(int cap, Rectangle head)
{
if (cap < 1)
throw new ArgumentOutOfRangeException();
capacity = cap;
entries = new List<Rectangle>();
if (head == null)
return;
entries.Add(head);
mbr = head;
}
public bool Add(Rectangle entry)
{
if (entries.Count == capacity)
return false;
entries.Add(entry);
if (mbr == null)
mbr = entry;
else
mbr.add(entry);
return true;
}
/**
* Determine whether this rectangle intersects the passed rectangle
*
* @param r The rectangle that might intersect this rectangle
*
* @return true if the rectangles intersect, false if they do not intersect
*/
public bool intersects(Rectangle r)
{
// Every dimension must intersect. If any dimension
// does not intersect, return false immediately.
for (int i = 0; i < DIMENSIONS; i++)
{
if (max[i] < r.min[i] || min[i] > r.max[i])
{
return false;
}
}
return true;
}
/// <summary>
/// Returns a list of features that contains the specified rectangle.
/// </summary>
/// <param name="r">The r.</param>
/// <returns></returns>
public FdoFeature[] Contains(Rectangle r)
{
return _tree.Contains(r).ToArray();
}
/**
* Computes the union of this rectangle and the passed rectangle, storing
* the result in this rectangle.
*
* @param r Rectangle to add to this rectangle
*/
public void add(Rectangle r)
{
for (int i = 0; i < DIMENSIONS; i++)
{
if (r.min[i] < min[i])
{
min[i] = r.min[i];
}
if (r.max[i] > max[i])
{
max[i] = r.max[i];
}
}
}
/// <summary>
/// Pick the seeds used to split a node.
/// Select two entries to be the first elements of the groups
/// </summary>
/// <param name="n"></param>
/// <param name="newRect"></param>
/// <param name="newId"></param>
/// <param name="newNode"></param>
private void pickSeeds(Node <T> n, Rectangle newRect, int newId, Node <T> newNode)
{
// Find extreme rectangles along all dimension. Along each dimension,
// find the entry whose rectangle has the highest low side, and the one
// with the lowest high side. Record the separation.
float maxNormalizedSeparation = 0;
int highestLowIndex = 0;
int lowestHighIndex = 0;
// for the purposes of picking seeds, take the MBR of the Node<T> to include
// the new rectangle aswell.
n.mbr.add(newRect);
if (log.IsDebugEnabled)
{
log.Debug("pickSeeds(): NodeId = " + n.nodeId + ", newRect = " + newRect);
}
for (int d = 0; d < Rectangle.DIMENSIONS; d++)
{
float tempHighestLow = newRect.min[d];
int tempHighestLowIndex = -1; // -1 indicates the new rectangle is the seed
float tempLowestHigh = newRect.max[d];
int tempLowestHighIndex = -1;
for (int i = 0; i < n.entryCount; i++)
{
float tempLow = n.entries[i].min[d];
if (tempLow >= tempHighestLow)
{
tempHighestLow = tempLow;
tempHighestLowIndex = i;
}
else
{ // ensure that the same index cannot be both lowestHigh and highestLow
float tempHigh = n.entries[i].max[d];
if (tempHigh <= tempLowestHigh)
{
tempLowestHigh = tempHigh;
tempLowestHighIndex = i;
}
}
// PS2 [Adjust for shape of the rectangle cluster] Normalize the separations
// by dividing by the widths of the entire set along the corresponding
// dimension
float normalizedSeparation = (tempHighestLow - tempLowestHigh) / (n.mbr.max[d] - n.mbr.min[d]);
if (normalizedSeparation > 1 || normalizedSeparation < -1)
{
log.Error("Invalid normalized separation");
}
if (log.IsDebugEnabled)
{
log.Debug("Entry " + i + ", dimension " + d + ": HighestLow = " + tempHighestLow +
" (index " + tempHighestLowIndex + ")" + ", LowestHigh = " +
tempLowestHigh + " (index " + tempLowestHighIndex + ", NormalizedSeparation = " + normalizedSeparation);
}
// PS3 [Select the most extreme pair] Choose the pair with the greatest
// normalized separation along any dimension.
if (normalizedSeparation > maxNormalizedSeparation)
{
maxNormalizedSeparation = normalizedSeparation;
highestLowIndex = tempHighestLowIndex;
lowestHighIndex = tempLowestHighIndex;
}
}
}
// highestLowIndex is the seed for the new node.
if (highestLowIndex == -1)
{
newNode.addEntry(newRect, newId);
}
else
{
newNode.addEntryNoCopy(n.entries[highestLowIndex], n.ids[highestLowIndex]);
n.entries[highestLowIndex] = null;
// move the new rectangle into the space vacated by the seed for the new node
n.entries[highestLowIndex] = newRect;
n.ids[highestLowIndex] = newId;
}
// lowestHighIndex is the seed for the original node.
if (lowestHighIndex == -1)
{
lowestHighIndex = highestLowIndex;
}
entryStatus[lowestHighIndex] = ENTRY_STATUS_ASSIGNED;
n.entryCount = 1;
n.mbr.set(n.entries[lowestHighIndex].min, n.entries[lowestHighIndex].max);
}
/// <summary>
/// Split a node. Algorithm is taken pretty much verbatim from
/// Guttman's original paper.
/// </summary>
/// <param name="n"></param>
/// <param name="newRect"></param>
/// <param name="newId"></param>
/// <returns>return new Node<T> object.</returns>
private Node <T> splitNode(Node <T> n, Rectangle newRect, int newId)
{
// [Pick first entry for each group] Apply algorithm pickSeeds to
// choose two entries to be the first elements of the groups. Assign
// each to a group.
// debug code
float initialArea = 0;
if (log.IsDebugEnabled)
{
Rectangle union = n.mbr.union(newRect);
initialArea = union.area();
}
for (int i = 0; i < maxNodeEntries; i++)
{
entryStatus[i] = initialEntryStatus[i];
}
Node <T> newNode = null;
newNode = new Node <T>(getNextNodeId(), n.level, maxNodeEntries);
nodeMap[newNode.nodeId] = newNode;
pickSeeds(n, newRect, newId, newNode); // this also sets the entryCount to 1
// [Check if done] If all entries have been assigned, stop. If one
// group has so few entries that all the rest must be assigned to it in
// order for it to have the minimum number m, assign them and stop.
while (n.entryCount + newNode.entryCount < maxNodeEntries + 1)
{
if (maxNodeEntries + 1 - newNode.entryCount == minNodeEntries)
{
// assign all remaining entries to original node
for (int i = 0; i < maxNodeEntries; i++)
{
if (entryStatus[i] == ENTRY_STATUS_UNASSIGNED)
{
entryStatus[i] = ENTRY_STATUS_ASSIGNED;
n.mbr.add(n.entries[i]);
n.entryCount++;
}
}
break;
}
if (maxNodeEntries + 1 - n.entryCount == minNodeEntries)
{
// assign all remaining entries to new node
for (int i = 0; i < maxNodeEntries; i++)
{
if (entryStatus[i] == ENTRY_STATUS_UNASSIGNED)
{
entryStatus[i] = ENTRY_STATUS_ASSIGNED;
newNode.addEntryNoCopy(n.entries[i], n.ids[i]);
n.entries[i] = null;
}
}
break;
}
// [Select entry to assign] Invoke algorithm pickNext to choose the
// next entry to assign. Add it to the group whose covering rectangle
// will have to be enlarged least to accommodate it. Resolve ties
// by adding the entry to the group with smaller area, then to the
// the one with fewer entries, then to either. Repeat from S2
pickNext(n, newNode);
}
n.reorganize(this);
// check that the MBR stored for each Node<T> is correct.
if (INTERNAL_CONSISTENCY_CHECKING)
{
if (!n.mbr.Equals(calculateMBR(n)))
{
log.Error("Error: splitNode old Node<T> MBR wrong");
}
if (!newNode.mbr.Equals(calculateMBR(newNode)))
{
log.Error("Error: splitNode new Node<T> MBR wrong");
}
}
// debug code
if (log.IsDebugEnabled)
{
float newArea = n.mbr.area() + newNode.mbr.area();
float percentageIncrease = (100 * (newArea - initialArea)) / initialArea;
log.Debug("Node " + n.nodeId + " split. New area increased by " + percentageIncrease + "%");
}
return(newNode);
}
private void intersects(Rectangle r, intproc v)
{
Node <T> rootNode = getNode(rootNodeId);
intersects(r, v, rootNode);
}
private bool delete(Rectangle r, int id)
{
// FindLeaf algorithm inlined here. Note the "official" algorithm
// searches all overlapping entries. This seems inefficient to me,
// as an entry is only worth searching if it contains (NOT overlaps)
// the rectangle we are searching for.
//
// Also the algorithm has been changed so that it is not recursive.
// FL1 [Search subtrees] If root is not a leaf, check each entry
// to determine if it contains r. For each entry found, invoke
// findLeaf on the Node<T> pointed to by the entry, until r is found or
// all entries have been checked.
parents.Clear();
parents.Push(rootNodeId);
parentsEntry.Clear();
parentsEntry.Push(-1);
Node <T> n = null;
int foundIndex = -1; // index of entry to be deleted in leaf
while (foundIndex == -1 && parents.Count > 0)
{
n = getNode(parents.Peek());
int startIndex = parentsEntry.Peek() + 1;
if (!n.isLeaf())
{
deleteLog.Debug("searching Node<T> " + n.nodeId + ", from index " + startIndex);
bool contains = false;
for (int i = startIndex; i < n.entryCount; i++)
{
if (n.entries[i].contains(r))
{
parents.Push(n.ids[i]);
parentsEntry.Pop();
parentsEntry.Push(i); // this becomes the start index when the child has been searched
parentsEntry.Push(-1);
contains = true;
break; // ie go to next iteration of while()
}
}
if (contains)
{
continue;
}
}
else
{
foundIndex = n.findEntry(r, id);
}
parents.Pop();
parentsEntry.Pop();
} // while not found
if (foundIndex != -1)
{
n.deleteEntry(foundIndex, minNodeEntries);
condenseTree(n);
msize--;
}
// shrink the tree if possible (i.e. if root Node<T%gt; has exactly one entry,and that
// entry is not a leaf node, delete the root (it's entry becomes the new root)
Node <T> root = getNode(rootNodeId);
while (root.entryCount == 1 && treeHeight > 1)
{
root.entryCount = 0;
rootNodeId = root.ids[0];
treeHeight--;
root = getNode(rootNodeId);
}
return(foundIndex != -1);
}
/**
* Find the the union of this rectangle and the passed rectangle.
* Neither rectangle is altered
*
* @param r The rectangle to union with this rectangle
*/
public Rectangle union(Rectangle r)
{
Rectangle union = this.copy();
union.add(r);
return union;
}
/**
* Calculate the area by which this rectangle would be enlarged if
* added to the passed rectangle. Neither rectangle is altered.
*
* @param r Rectangle to union with this rectangle, in order to
* compute the difference in area of the union and the
* original rectangle
*/
internal float enlargement(Rectangle r)
{
float enlargedArea =1;
for(int i=0;i<min.Length;i++)
enlargedArea *= (Math.Max(max[i], r.max[i]) - Math.Min(min[i], r.min[i]));
return enlargedArea - area();
}
/**
* Determine whether this rectangle is contained by the passed rectangle
*
* @param r The rectangle that might contain this rectangle
*
* @return true if the passed rectangle contains this rectangle, false if
* it does not
*/
internal bool containedBy(Rectangle r)
{
for (int i = 0; i < DIMENSIONS; i++)
{
if (max[i] > r.max[i] || min[i] < r.min[i])
{
return false;
}
}
return true;
}
/// <summary>
/// 构造函数
/// </summary>
/// <param name="rectangle">需要提取西南角和东北角经纬度坐标值的矩形框</param>
public RectangleCoordinate(Rectangle rectangle)
{
this.swLongitude = rectangle.Min.ToList<float>()[0];
this.swLatitude = rectangle.Min.ToList<float>()[1];
this.neLongitude = rectangle.Max.ToList<float>()[0];
this.neLatitude = rectangle.Max.ToList<float>()[1];
}
