mirror of https://github.com/tidwall/tile38.git
623 lines
19 KiB
Go
623 lines
19 KiB
Go
// Package rtree - A 2d Implementation of RTree, a bounding rectangle tree.
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//
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// This file is derived from the work done by Toni Gutman. R-Trees: A Dynamic Index Structure for
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// Spatial Searching, Proc. 1984 ACM SIGMOD International Conference on Management of Data, pp.
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// 47-57. The implementation found in SQLite is a refinement of Guttman's original idea, commonly
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// called "R*Trees", that was described by Norbert Beckmann, Hans-Peter Kriegel, Ralf Schneider,
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// Bernhard Seeger: The R*-Tree: An Efficient and Robust Access Method for Points and Rectangles.
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// SIGMOD Conference 1990: 322-331
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//
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// The original C code can be found at "http://www.superliminal.com/sources/sources.htm".
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//
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// And the website carries this message: "Here are a few useful bits of free source code. You're
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// completely free to use them for any purpose whatsoever. All I ask is that if you find one to
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// be particularly valuable, then consider sending feedback. Please send bugs and suggestions too.
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// Enjoy"
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package rtree
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import "math"
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// Item is an rtree item
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type Item interface {
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Rect() (minX, minY, maxX, maxY float64)
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}
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// Rect is a rectangle
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type Rect struct {
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MinX, MinY, MaxX, MaxY float64
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}
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// Rect returns the rectangle
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func (item *Rect) Rect() (minX, minY, maxX, maxY float64) {
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return item.MinX, item.MinY, item.MaxX, item.MaxY
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}
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func min(a, b float64) float64 {
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if a < b {
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return a
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}
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return b
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}
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func max(a, b float64) float64 {
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if a > b {
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return a
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}
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return b
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}
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const (
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unitSphereVolume1 = 2.000000
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unitSphereVolume2 = 3.141593
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unitSphereVolume3 = 4.188790
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unitSphereVolume4 = 4.934802
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)
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const (
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maxNodes = 16
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minNodes = maxNodes / 2
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useSphericalVolume = true
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unitSphereVolume = unitSphereVolume2
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)
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/// Minimal bounding rectangle (n-dimensional)
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type rectT struct {
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min [2]float64 ///< Min dimensions of bounding box
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max [2]float64 ///< Max dimensions of bounding box
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}
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/// May be data or may be another subtree
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/// The parents level determines this.
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/// If the parents level is 0, then this is data
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type branchT struct {
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rect rectT ///< Bounds
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child *nodeT ///< Child node
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item Item ///< Data ID or Ptr
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}
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/// nodeT for each branch level
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type nodeT struct {
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count int ///< Count
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level int ///< Leaf is zero, others positive
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branch [maxNodes]branchT ///< branchT
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}
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func (node *nodeT) isInternalNode() bool { return node.level > 0 } // Not a leaf, but a internal node
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/// A link list of nodes for reinsertion after a delete operation
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type listNodeT struct {
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next *listNodeT ///< Next in list
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node *nodeT ///< nodeT
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}
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/// Variables for finding a split partition
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type partitionVarsT struct {
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partition [maxNodes + 1]int
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total int
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minFill int
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taken [maxNodes + 1]bool
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count [2]int
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cover [2]rectT
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area [2]float64
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branchBuf [maxNodes + 1]branchT
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branchCount int
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coverSplit rectT
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coverSplitArea float64
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}
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// RTree is an implementation of an rtree
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type RTree struct {
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root *nodeT
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}
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func itemRect(item Item) (rect rectT) {
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minX, minY, maxX, maxY := item.Rect()
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return rectT{
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min: [2]float64{minX, minY},
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max: [2]float64{maxX, maxY},
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}
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}
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// New creates a new RTree
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func New() *RTree {
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return &RTree{}
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}
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// Insert inserts item into rtree
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func (tr *RTree) Insert(item Item) {
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if tr.root == nil {
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tr.root = &nodeT{}
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}
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insertRect(itemRect(item), item, &tr.root, 0)
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}
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// Remove removes item from rtree
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func (tr *RTree) Remove(item Item) {
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if tr.root == nil {
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tr.root = &nodeT{}
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}
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removeRect(itemRect(item), item, &tr.root)
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}
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// Search finds all items in bounding box.
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func (tr *RTree) Search(minX, minY, maxX, maxY float64, iterator func(item Item) bool) {
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if iterator == nil {
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return
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}
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rect := rectT{
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min: [2]float64{minX, minY},
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max: [2]float64{maxX, maxY},
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}
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// NOTE: May want to return search result another way, perhaps returning the number of found elements here.
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if tr.root == nil {
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tr.root = &nodeT{}
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}
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search(tr.root, rect, iterator)
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}
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// Count return the number of items in rtree.
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func (tr *RTree) Count() int {
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return countRec(tr.root, 0)
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}
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// RemoveAll removes all items from rtree.
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func (tr *RTree) RemoveAll() {
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tr.root = nil
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}
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func countRec(node *nodeT, counter int) int {
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if node.isInternalNode() { // not a leaf node
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for index := 0; index < node.count; index++ {
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counter = countRec(node.branch[index].child, counter)
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}
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} else { // A leaf node
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if node.count > 256 {
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println(node.count)
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}
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counter += node.count
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}
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return counter
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}
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// Inserts a new data rectangle into the index structure.
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// Recursively descends tree, propagates splits back up.
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// Returns 0 if node was not split. Old node updated.
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// If node was split, returns 1 and sets the pointer pointed to by
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// new_node to point to the new node. Old node updated to become one of two.
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// The level argument specifies the number of steps up from the leaf
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// level to insert; e.g. a data rectangle goes in at level = 0.
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func insertRectRec(rect rectT, item Item, node *nodeT, newNode **nodeT, level int) bool {
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var index int
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var branch branchT
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var otherNode *nodeT
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// Still above level for insertion, go down tree recursively
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if node.level > level {
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index = pickBranch(rect, node)
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if !insertRectRec(rect, item, node.branch[index].child, &otherNode, level) {
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// Child was not split
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node.branch[index].rect = combineRect(rect, node.branch[index].rect)
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return false
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} // Child was split
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node.branch[index].rect = nodeCover(node.branch[index].child)
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branch.child = otherNode
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branch.rect = nodeCover(otherNode)
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return addBranch(&branch, node, newNode)
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} else if node.level == level { // Have reached level for insertion. Add rect, split if necessary
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branch.rect = rect
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branch.item = item
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// Child field of leaves contains id of data record
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return addBranch(&branch, node, newNode)
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} else {
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// Should never occur
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return false
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}
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}
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// Insert a data rectangle into an index structure.
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// InsertRect provides for splitting the root;
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// returns 1 if root was split, 0 if it was not.
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// The level argument specifies the number of steps up from the leaf
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// level to insert; e.g. a data rectangle goes in at level = 0.
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// InsertRect2 does the recursion.
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func insertRect(rect rectT, item Item, root **nodeT, level int) bool {
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var newRoot *nodeT
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var newNode *nodeT
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var branch branchT
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if insertRectRec(rect, item, *root, &newNode, level) { // Root split
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newRoot = &nodeT{} // Grow tree taller and new root
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newRoot.level = (*root).level + 1
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branch.rect = nodeCover(*root)
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branch.child = *root
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addBranch(&branch, newRoot, nil)
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branch.rect = nodeCover(newNode)
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branch.child = newNode
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addBranch(&branch, newRoot, nil)
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*root = newRoot
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return true
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}
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return false
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}
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// Find the smallest rectangle that includes all rectangles in branches of a node.
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func nodeCover(node *nodeT) rectT {
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var firstTime = true
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var rect rectT
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for index := 0; index < node.count; index++ {
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if firstTime {
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rect = node.branch[index].rect
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firstTime = false
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} else {
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rect = combineRect(rect, node.branch[index].rect)
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}
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}
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return rect
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}
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// Add a branch to a node. Split the node if necessary.
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// Returns 0 if node not split. Old node updated.
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// Returns 1 if node split, sets *new_node to address of new node.
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// Old node updated, becomes one of two.
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func addBranch(branch *branchT, node *nodeT, newNode **nodeT) bool {
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if node.count < maxNodes { // Split won't be necessary
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node.branch[node.count] = *branch
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node.count++
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return false
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}
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splitNode(node, branch, newNode)
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return true
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}
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// Disconnect a dependent node.
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// Caller must return (or stop using iteration index) after this as count has changed
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func disconnectBranch(node *nodeT, index int) {
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// Remove element by swapping with the last element to prevent gaps in array
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node.branch[index] = node.branch[node.count-1]
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node.count--
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}
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// Pick a branch. Pick the one that will need the smallest increase
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// in area to accomodate the new rectangle. This will result in the
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// least total area for the covering rectangles in the current node.
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// In case of a tie, pick the one which was smaller before, to get
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// the best resolution when searching.
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func pickBranch(rect rectT, node *nodeT) int {
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var firstTime = true
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var increase float64
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var bestIncr float64 = -1
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var area float64
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var bestArea float64
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var best int
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var tempRect rectT
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for index := 0; index < node.count; index++ {
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curRect := node.branch[index].rect
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area = calcRectVolume(curRect)
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tempRect = combineRect(rect, curRect)
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increase = calcRectVolume(tempRect) - area
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if (increase < bestIncr) || firstTime {
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best = index
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bestArea = area
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bestIncr = increase
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firstTime = false
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} else if (increase == bestIncr) && (area < bestArea) {
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best = index
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bestArea = area
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bestIncr = increase
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}
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}
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return best
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}
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// Combine two rectangles into larger one containing both
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func combineRect(rectA, rectB rectT) rectT {
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var newRect rectT
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for index := 0; index < 2; index++ {
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newRect.min[index] = min(rectA.min[index], rectB.min[index])
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newRect.max[index] = max(rectA.max[index], rectB.max[index])
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}
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return newRect
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}
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// Split a node.
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// Divides the nodes branches and the extra one between two nodes.
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// Old node is one of the new ones, and one really new one is created.
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// Tries more than one method for choosing a partition, uses best result.
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func splitNode(node *nodeT, branch *branchT, newNode **nodeT) {
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// Could just use local here, but member or external is faster since it is reused
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var localVars partitionVarsT
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var parVars = &localVars
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var level int
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// Load all the branches into a buffer, initialize old node
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level = node.level
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getBranches(node, branch, parVars)
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// Find partition
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choosePartition(parVars, minNodes)
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// Put branches from buffer into 2 nodes according to chosen partition
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*newNode = &nodeT{}
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node.level = level
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(*newNode).level = node.level
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loadNodes(node, *newNode, parVars)
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}
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// Calculate the n-dimensional volume of a rectangle
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func rectVolume(rect rectT) float64 {
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var volume float64 = 1
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for index := 0; index < 2; index++ {
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volume *= rect.max[index] - rect.min[index]
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}
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return volume
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}
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// The exact volume of the bounding sphere for the given rectT
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func rectSphericalVolume(rect rectT) float64 {
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var sumOfSquares float64
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var radius float64
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for index := 0; index < 2; index++ {
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var halfExtent = (rect.max[index] - rect.min[index]) * 0.5
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sumOfSquares += halfExtent * halfExtent
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}
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radius = math.Sqrt(sumOfSquares)
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// Pow maybe slow, so test for common dims like 2,3 and just use x*x, x*x*x.
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if 2 == 3 {
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return radius * radius * radius * unitSphereVolume
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} else if 2 == 2 {
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return radius * radius * unitSphereVolume
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} else {
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return math.Pow(radius, 2) * unitSphereVolume
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}
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}
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// Use one of the methods to calculate retangle volume
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func calcRectVolume(rect rectT) float64 {
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if useSphericalVolume {
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return rectSphericalVolume(rect) // Slower but helps certain merge cases
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}
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return rectVolume(rect) // Faster but can cause poor merges
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}
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// Load branch buffer with branches from full node plus the extra branch.
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func getBranches(node *nodeT, branch *branchT, parVars *partitionVarsT) {
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// Load the branch buffer
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for index := 0; index < maxNodes; index++ {
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parVars.branchBuf[index] = node.branch[index]
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}
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parVars.branchBuf[maxNodes] = *branch
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parVars.branchCount = maxNodes + 1
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// Calculate rect containing all in the set
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parVars.coverSplit = parVars.branchBuf[0].rect
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for index := 1; index < maxNodes+1; index++ {
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parVars.coverSplit = combineRect(parVars.coverSplit, parVars.branchBuf[index].rect)
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}
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parVars.coverSplitArea = calcRectVolume(parVars.coverSplit)
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node.count = 0
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node.level = -1
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}
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// Method #0 for choosing a partition:
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// As the seeds for the two groups, pick the two rects that would waste the
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// most area if covered by a single rectangle, i.e. evidently the worst pair
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// to have in the same group.
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// Of the remaining, one at a time is chosen to be put in one of the two groups.
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// The one chosen is the one with the greatest difference in area expansion
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// depending on which group - the rect most strongly attracted to one group
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// and repelled from the other.
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// If one group gets too full (more would force other group to violate min
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// fill requirement) then other group gets the rest.
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// These last are the ones that can go in either group most easily.
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func choosePartition(parVars *partitionVarsT, minFill int) {
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var biggestDiff float64
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var group, chosen, betterGroup int
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initParVars(parVars, parVars.branchCount, minFill)
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pickSeeds(parVars)
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for ((parVars.count[0] + parVars.count[1]) < parVars.total) &&
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(parVars.count[0] < (parVars.total - parVars.minFill)) &&
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(parVars.count[1] < (parVars.total - parVars.minFill)) {
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biggestDiff = -1
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for index := 0; index < parVars.total; index++ {
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if !parVars.taken[index] {
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var curRect = parVars.branchBuf[index].rect
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rect0 := combineRect(curRect, parVars.cover[0])
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rect1 := combineRect(curRect, parVars.cover[1])
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growth0 := calcRectVolume(rect0) - parVars.area[0]
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growth1 := calcRectVolume(rect1) - parVars.area[1]
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diff := growth1 - growth0
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if diff >= 0 {
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group = 0
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} else {
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group = 1
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diff = -diff
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}
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if diff > biggestDiff {
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biggestDiff = diff
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chosen = index
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betterGroup = group
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} else if (diff == biggestDiff) && (parVars.count[group] < parVars.count[betterGroup]) {
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chosen = index
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betterGroup = group
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}
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}
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}
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classify(chosen, betterGroup, parVars)
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}
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// If one group too full, put remaining rects in the other
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if (parVars.count[0] + parVars.count[1]) < parVars.total {
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if parVars.count[0] >= parVars.total-parVars.minFill {
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group = 1
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} else {
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group = 0
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}
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for index := 0; index < parVars.total; index++ {
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if !parVars.taken[index] {
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classify(index, group, parVars)
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}
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}
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}
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}
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// Copy branches from the buffer into two nodes according to the partition.
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func loadNodes(nodeA *nodeT, nodeB *nodeT, parVars *partitionVarsT) {
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for index := 0; index < parVars.total; index++ {
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if parVars.partition[index] == 0 {
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addBranch(&parVars.branchBuf[index], nodeA, nil)
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} else if parVars.partition[index] == 1 {
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addBranch(&parVars.branchBuf[index], nodeB, nil)
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}
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}
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}
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// Initialize a partitionVarsT structure.
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func initParVars(parVars *partitionVarsT, maxRects int, minFill int) {
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parVars.count[1] = 0
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parVars.count[0] = parVars.count[1]
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parVars.area[1] = 0
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parVars.area[0] = parVars.area[1]
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parVars.total = maxRects
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parVars.minFill = minFill
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for index := 0; index < maxRects; index++ {
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parVars.taken[index] = false
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parVars.partition[index] = -1
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}
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}
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func pickSeeds(parVars *partitionVarsT) {
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var seed0, seed1 int
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var worst, waste float64
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var area [maxNodes + 1]float64
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for index := 0; index < parVars.total; index++ {
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area[index] = calcRectVolume(parVars.branchBuf[index].rect)
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}
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worst = -parVars.coverSplitArea - 1
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for indexA := 0; indexA < parVars.total-1; indexA++ {
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for indexB := indexA + 1; indexB < parVars.total; indexB++ {
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var oneRect = combineRect(parVars.branchBuf[indexA].rect, parVars.branchBuf[indexB].rect)
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waste = calcRectVolume(oneRect) - area[indexA] - area[indexB]
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if waste > worst {
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worst = waste
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seed0 = indexA
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seed1 = indexB
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}
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}
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}
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classify(seed0, 0, parVars)
|
|
classify(seed1, 1, parVars)
|
|
}
|
|
|
|
// Put a branch in one of the groups.
|
|
func classify(index int, group int, parVars *partitionVarsT) {
|
|
parVars.partition[index] = group
|
|
parVars.taken[index] = true
|
|
|
|
if parVars.count[group] == 0 {
|
|
parVars.cover[group] = parVars.branchBuf[index].rect
|
|
} else {
|
|
parVars.cover[group] = combineRect(parVars.branchBuf[index].rect, parVars.cover[group])
|
|
}
|
|
parVars.area[group] = calcRectVolume(parVars.cover[group])
|
|
parVars.count[group]++
|
|
}
|
|
|
|
// Delete a data rectangle from an index structure.
|
|
// Pass in a pointer to a rectT, the tid of the record, ptr to ptr to root node.
|
|
// Returns 1 if record not found, 0 if success.
|
|
// RemoveRect provides for eliminating the root.
|
|
func removeRect(rect rectT, item Item, root **nodeT) bool {
|
|
var tempNode *nodeT
|
|
var reInsertList *listNodeT
|
|
if !removeRectRec(rect, item, *root, &reInsertList) {
|
|
// Found and deleted a data item
|
|
// Reinsert any branches from eliminated nodes
|
|
for reInsertList != nil {
|
|
tempNode = reInsertList.node
|
|
for index := 0; index < tempNode.count; index++ {
|
|
insertRect(tempNode.branch[index].rect,
|
|
tempNode.branch[index].item,
|
|
root,
|
|
tempNode.level)
|
|
}
|
|
reInsertList = reInsertList.next
|
|
}
|
|
// Check for redundant root (not leaf, 1 child) and eliminate
|
|
if (*root).count == 1 && (*root).isInternalNode() {
|
|
tempNode = (*root).branch[0].child
|
|
*root = tempNode
|
|
}
|
|
return false
|
|
}
|
|
return true
|
|
}
|
|
|
|
// Delete a rectangle from non-root part of an index structure.
|
|
// Called by RemoveRect. Descends tree recursively,
|
|
// merges branches on the way back up.
|
|
// Returns 1 if record not found, 0 if success.
|
|
func removeRectRec(rect rectT, item Item, node *nodeT, listNode **listNodeT) bool {
|
|
if node.isInternalNode() { // not a leaf node
|
|
for index := 0; index < node.count; index++ {
|
|
if overlap(rect, node.branch[index].rect) {
|
|
if !removeRectRec(rect, item, node.branch[index].child, listNode) {
|
|
if node.branch[index].child.count >= minNodes {
|
|
// child removed, just resize parent rect
|
|
node.branch[index].rect = nodeCover(node.branch[index].child)
|
|
} else {
|
|
// child removed, not enough entries in node, eliminate node
|
|
reInsert(node.branch[index].child, listNode)
|
|
disconnectBranch(node, index) // Must return after this call as count has changed
|
|
}
|
|
return false
|
|
}
|
|
}
|
|
}
|
|
return true
|
|
}
|
|
// A leaf node
|
|
for index := 0; index < node.count; index++ {
|
|
if node.branch[index].item == item {
|
|
disconnectBranch(node, index) // Must return after this call as count has changed
|
|
return false
|
|
}
|
|
}
|
|
return true
|
|
}
|
|
|
|
// Decide whether two rectangles overlap.
|
|
func overlap(rectA rectT, rectB rectT) bool {
|
|
for index := 0; index < 2; index++ {
|
|
if rectA.min[index] > rectB.max[index] ||
|
|
rectB.min[index] > rectA.max[index] {
|
|
return false
|
|
}
|
|
}
|
|
return true
|
|
}
|
|
|
|
// Add a node to the reinsertion list. All its branches will later
|
|
// be reinserted into the index structure.
|
|
func reInsert(node *nodeT, listNode **listNodeT) {
|
|
*listNode = &listNodeT{
|
|
node: node,
|
|
next: *listNode,
|
|
}
|
|
}
|
|
|
|
// Search in an index tree or subtree for all data retangles that overlap the argument rectangle.
|
|
func search(node *nodeT, rect rectT, iterator func(item Item) bool) bool {
|
|
if node.isInternalNode() { // This is an internal node in the tree
|
|
for index := 0; index < node.count; index++ {
|
|
nrect := node.branch[index].rect
|
|
if overlap(rect, nrect) {
|
|
if !search(node.branch[index].child, rect, iterator) {
|
|
return false // Don't continue searching
|
|
}
|
|
}
|
|
}
|
|
} else { // This is a leaf node
|
|
for index := 0; index < node.count; index++ {
|
|
if overlap(rect, node.branch[index].rect) {
|
|
// NOTE: There are different ways to return results. Here's where to modify
|
|
if !iterator(node.branch[index].item) {
|
|
return false // Don't continue searching
|
|
}
|
|
}
|
|
}
|
|
}
|
|
return true // Continue searching
|
|
}
|