Merge pull request #719 from ahocevar/fast-rtree
More sophisticated RTree implementation. r=@tschaub
This commit is contained in:
ahocevar
@@ -70,8 +70,7 @@ ol.extent.containsCoordinate = function(extent, coordinate) {
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/**
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/**
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* Checks if the passed extent is contained or on the edge of the
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* Checks if `extent2` is contained by or on the edge of `extent1`.
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* extent.
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*
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*
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* @param {ol.Extent} extent1 Extent 1.
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* @param {ol.Extent} extent1 Extent 1.
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* @param {ol.Extent} extent2 Extent 2.
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* @param {ol.Extent} extent2 Extent 2.
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@@ -102,8 +102,9 @@ ol.layer.FeatureCache.prototype.getFeaturesObject = function(opt_filter) {
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}
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}
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}
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}
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if (extentFilter && geometryFilter) {
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if (extentFilter && geometryFilter) {
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features = this.rTree_.find(
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var type = geometryFilter.getType();
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extentFilter.getExtent(), geometryFilter.getType());
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features = goog.object.isEmpty(this.geometryTypeIndex_[type]) ? {} :
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this.rTree_.find(extentFilter.getExtent(), type);
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}
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}
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}
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}
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}
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}
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@@ -1,208 +1,579 @@
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/******************************************************************************
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rtree.js - General-Purpose Non-Recursive Javascript R-Tree Library
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Version 0.6.2, December 5st 2009
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Copyright (c) 2009 Jon-Carlos Rivera
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Permission is hereby granted, free of charge, to any person obtaining
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a copy of this software and associated documentation files (the
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"Software"), to deal in the Software without restriction, including
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without limitation the rights to use, copy, modify, merge, publish,
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distribute, sublicense, and/or sell copies of the Software, and to
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permit persons to whom the Software is furnished to do so, subject to
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the following conditions:
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The above copyright notice and this permission notice shall be
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included in all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
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MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
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LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
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OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
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WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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Jon-Carlos Rivera - imbcmdth@hotmail.com
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******************************************************************************/
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goog.provide('ol.structs.RTree');
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goog.provide('ol.structs.RTree');
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goog.require('goog.object');
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goog.require('goog.array');
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goog.require('ol.extent');
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goog.require('ol.extent');
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/**
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* @typedef {{extent: (ol.Extent), leaf: (Object|undefined),
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* nodes: (Array.<ol.structs.RTreeNode>|undefined),
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* target: (Object|undefined), type: (string|undefined)}}
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*/
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ol.structs.RTreeNode;
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/**
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/**
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* @private
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* @param {number=} opt_width Width before a node is split. Default is 6.
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* @constructor
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* @constructor
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* @param {ol.Extent} bounds Extent.
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* @param {ol.structs.RTreeNode_} parent Parent node.
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* @param {number} level Level in the tree hierarchy.
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*/
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*/
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ol.structs.RTreeNode_ = function(bounds, parent, level) {
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ol.structs.RTree = function(opt_width) {
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// Variables to control tree-dimensions
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var minWidth = 3; // Minimum width of any node before a merge
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var maxWidth = 6; // Maximum width of any node before a split
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if (!isNaN(opt_width)) {
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minWidth = Math.floor(opt_width / 2);
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maxWidth = opt_width;
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}
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// Start with an empty root-tree
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var rootTree = /** @type {ol.structs.RTreeNode} */
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({extent: [0, 0, 0, 0], nodes: []});
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/**
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/**
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* @type {ol.Extent}
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* This is Jon-Carlos Rivera's special addition to the world of r-trees.
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* Every other (simple) method he found produced crap trees.
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* This skews insertions to prefering squarer and emptier nodes.
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*
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* @param {number} l L.
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* @param {number} w W.
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* @param {number} fill Fill.
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* @return {number} Squarified ratio.
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*/
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*/
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this.bounds = bounds;
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var squarifiedRatio = function(l, w, fill) {
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// Area of new enlarged rectangle
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var peri = (l + w) / 2; // Average size of a side of the new rectangle
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var area = l * w; // Area of new rectangle
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// return the ratio of the perimeter to the area - the closer to 1 we are,
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// the more "square" a rectangle is. conversly, when approaching zero the
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// more elongated a rectangle is
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var geo = area / (peri * peri);
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return area * fill / geo;
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};
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/**
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/**
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* @type {Object}
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* Generates a minimally bounding rectangle for all rectangles in
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* array "nodes". `rect` is modified into the MBR.
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*
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* @param {Array} nodes Nodes.
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* @param {ol.structs.RTreeNode} rect Rectangle.
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* @return {ol.structs.RTreeNode} Rectangle.
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*/
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*/
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this.object;
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var makeMBR = function(nodes, rect) {
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if (nodes.length < 1) {
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return {extent: [0, 0, 0, 0]};
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}
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rect.extent = nodes[0].extent.concat();
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for (var i = nodes.length - 1; i > 0; --i) {
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ol.extent.extend(rect.extent, nodes[i].extent);
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}
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return rect;
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};
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/**
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/**
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* @type {string}
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* Find the best specific node(s) for object to be deleted from.
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*
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* @param {ol.structs.RTreeNode} rect Rectangle.
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* @param {Object} obj Object.
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* @param {ol.structs.RTreeNode} root Root to start search.
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* @return {Array} Leaf node parent.
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*/
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*/
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this.objectId;
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var removeSubtree = function(rect, obj, root) {
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var hitStack = []; // Contains the elements that overlap
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var countStack = []; // Contains the elements that overlap
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var returnArray = [];
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var currentDepth = 1;
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if (!rect || !ol.extent.intersects(rect.extent, root.extent)) {
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return returnArray;
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}
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/** @type {ol.structs.RTreeNode} */
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var workingObject = /** @type {ol.structs.RTreeNode} */
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({extent: rect.extent.concat(), target: obj});
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countStack.push(root.nodes.length);
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hitStack.push(root);
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do {
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var tree = hitStack.pop();
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var i = countStack.pop() - 1;
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if (goog.isDef(workingObject.target)) {
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// We are searching for a target
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while (i >= 0) {
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var lTree = tree.nodes[i];
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if (ol.extent.intersects(workingObject.extent, lTree.extent)) {
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if ((workingObject.target && goog.isDef(lTree.leaf) &&
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lTree.leaf === workingObject.target) ||
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(!workingObject.target && (goog.isDef(lTree.leaf) ||
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ol.extent.containsExtent(workingObject.extent, lTree.extent))))
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{ // A Match !!
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// Yup we found a match...
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// we can cancel search and start walking up the list
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if (goog.isDef(lTree.nodes)) {
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// If we are deleting a node not a leaf...
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returnArray = searchSubtree(lTree, true, [], lTree);
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tree.nodes.splice(i, 1);
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} else {
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returnArray = tree.nodes.splice(i, 1);
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}
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// Resize MBR down...
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makeMBR(tree.nodes, tree);
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workingObject.target = undefined;
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if (tree.nodes.length < minWidth) { // Underflow
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workingObject.nodes = /** @type {Array} */
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(searchSubtree(tree, true, [], tree));
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}
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break;
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} else if (goog.isDef(lTree.nodes)) {
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// Not a Leaf
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currentDepth += 1;
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countStack.push(i);
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hitStack.push(tree);
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tree = lTree;
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i = lTree.nodes.length;
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}
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}
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i -= 1;
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}
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} else if (goog.isDef(workingObject.nodes)) {
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// We are unsplitting
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tree.nodes.splice(i + 1, 1); // Remove unsplit node
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// workingObject.nodes contains a list of elements removed from the
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// tree so far
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if (tree.nodes.length > 0) {
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makeMBR(tree.nodes, tree);
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}
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for (var t = 0, tt = workingObject.nodes.length; t < tt; ++t) {
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insertSubtree(workingObject.nodes[t], tree);
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}
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workingObject.nodes.length = 0;
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if (hitStack.length === 0 && tree.nodes.length <= 1) {
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// Underflow..on root!
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workingObject.nodes = /** @type {Array} */
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(searchSubtree(tree, true, workingObject.nodes, tree));
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tree.nodes.length = 0;
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hitStack.push(tree);
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countStack.push(1);
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} else if (hitStack.length > 0 && tree.nodes.length < minWidth) {
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// Underflow..AGAIN!
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workingObject.nodes = /** @type {Array} */
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(searchSubtree(tree, true, workingObject.nodes, tree));
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tree.nodes.length = 0;
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} else {
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workingObject.nodes = undefined; // Just start resizing
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}
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} else { // we are just resizing
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makeMBR(tree.nodes, tree);
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}
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currentDepth -= 1;
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} while (hitStack.length > 0);
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return returnArray;
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};
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/**
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/**
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* @type {ol.structs.RTreeNode_}
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* Choose the best damn node for rectangle to be inserted into.
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*
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* @param {ol.structs.RTreeNode} rect Rectangle.
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* @param {ol.structs.RTreeNode} root Root to start search.
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* @return {Array} Leaf node parent.
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*/
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*/
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this.parent = parent;
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var chooseLeafSubtree = function(rect, root) {
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var bestChoiceIndex = -1;
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var bestChoiceStack = [];
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var bestChoiceArea;
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bestChoiceStack.push(root);
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var nodes = root.nodes;
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do {
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if (bestChoiceIndex != -1) {
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bestChoiceStack.push(nodes[bestChoiceIndex]);
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nodes = nodes[bestChoiceIndex].nodes;
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bestChoiceIndex = -1;
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}
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for (var i = nodes.length - 1; i >= 0; --i) {
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var lTree = nodes[i];
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if (goog.isDef(lTree.leaf)) {
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// Bail out of everything and start inserting
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bestChoiceIndex = -1;
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break;
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}
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// Area of new enlarged rectangle
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var oldLRatio = squarifiedRatio(lTree.extent[1] - lTree.extent[0],
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lTree.extent[3] - lTree.extent[2], lTree.nodes.length + 1);
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// Enlarge rectangle to fit new rectangle
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var nw = (lTree.extent[1] > rect.extent[1] ?
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lTree.extent[1] : rect.extent[1]) -
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(lTree.extent[0] < rect.extent[0] ?
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lTree.extent[0] : rect.extent[0]);
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var nh = (lTree.extent[3] > rect.extent[3] ?
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lTree.extent[3] : rect.extent[3]) -
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(lTree.extent[2] < rect.extent[2] ?
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lTree.extent[2] : rect.extent[2]);
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// Area of new enlarged rectangle
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var lRatio = squarifiedRatio(nw, nh, lTree.nodes.length + 2);
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if (bestChoiceIndex < 0 ||
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Math.abs(lRatio - oldLRatio) < bestChoiceArea) {
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bestChoiceArea = Math.abs(lRatio - oldLRatio);
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bestChoiceIndex = i;
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}
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}
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} while (bestChoiceIndex != -1);
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return bestChoiceStack;
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};
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/**
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/**
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* @type {number}
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* Split a set of nodes into two roughly equally-filled nodes.
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*
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* @param {Array.<ol.structs.RTreeNode>} nodes Array of nodes.
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* @return {Array.<Array.<ol.structs.RTreeNode>>} An array of two new arrays
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* of nodes.
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*/
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*/
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this.level = level;
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var linearSplit = function(nodes) {
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var n = pickLinear(nodes);
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while (nodes.length > 0) {
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pickNext(nodes, n[0], n[1]);
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}
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return n;
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};
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/**
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/**
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* @type {Object.<string, boolean>}
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* Insert the best source rectangle into the best fitting parent node: a or b.
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*
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* @param {Array.<ol.structs.RTreeNode>} nodes Source node array.
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* @param {ol.structs.RTreeNode} a Target node array a.
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* @param {ol.structs.RTreeNode} b Target node array b.
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*/
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*/
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this.types = {};
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var pickNext = function(nodes, a, b) {
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// Area of new enlarged rectangle
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var areaA = squarifiedRatio(a.extent[1] - a.extent[0],
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a.extent[3] - a.extent[2], a.nodes.length + 1);
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var areaB = squarifiedRatio(b.extent[1] - b.extent[0],
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b.extent[3] - b.extent[2], b.nodes.length + 1);
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var highAreaDelta;
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var highAreaNode;
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var lowestGrowthGroup;
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for (var i = nodes.length - 1; i >= 0; --i) {
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var l = nodes[i];
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var newAreaA = [
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a.extent[0] < l.extent[0] ? a.extent[0] : l.extent[0],
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a.extent[1] > l.extent[1] ? a.extent[1] : l.extent[1],
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a.extent[2] < l.extent[2] ? a.extent[2] : l.extent[2],
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a.extent[3] > l.extent[3] ? a.extent[3] : l.extent[3]
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];
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var changeNewAreaA = Math.abs(squarifiedRatio(newAreaA[1] - newAreaA[0],
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newAreaA[3] - newAreaA[2], a.nodes.length + 2) - areaA);
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var newAreaB = [
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b.extent[0] < l.extent[0] ? b.extent[0] : l.extent[0],
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b.extent[1] > l.extent[1] ? b.extent[1] : l.extent[1],
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b.extent[2] < l.extent[2] ? b.extent[2] : l.extent[2],
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b.extent[3] > l.extent[3] ? b.extent[3] : l.extent[3]
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];
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var changeNewAreaB = Math.abs(squarifiedRatio(
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newAreaB[1] - newAreaB[0], newAreaB[3] - newAreaB[2],
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b.nodes.length + 2) - areaB);
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var changeNewAreaDelta = Math.abs(changeNewAreaB - changeNewAreaA);
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|
if (!highAreaNode || !highAreaDelta ||
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|
changeNewAreaDelta < highAreaDelta) {
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|
highAreaNode = i;
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|
highAreaDelta = changeNewAreaDelta;
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||||||
|
lowestGrowthGroup = changeNewAreaB < changeNewAreaA ? b : a;
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||||||
|
}
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||||||
|
}
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|
var tempNode = nodes.splice(highAreaNode, 1)[0];
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||||||
|
if (a.nodes.length + nodes.length + 1 <= minWidth) {
|
||||||
|
a.nodes.push(tempNode);
|
||||||
|
ol.extent.extend(a.extent, tempNode.extent);
|
||||||
|
} else if (b.nodes.length + nodes.length + 1 <= minWidth) {
|
||||||
|
b.nodes.push(tempNode);
|
||||||
|
ol.extent.extend(b.extent, tempNode.extent);
|
||||||
|
}
|
||||||
|
else {
|
||||||
|
lowestGrowthGroup.nodes.push(tempNode);
|
||||||
|
ol.extent.extend(lowestGrowthGroup.extent, tempNode.extent);
|
||||||
|
}
|
||||||
|
};
|
||||||
|
|
||||||
/**
|
/**
|
||||||
* @type {Array.<ol.structs.RTreeNode_>}
|
* Pick the "best" two starter nodes to use as seeds using the "linear"
|
||||||
|
* criteria.
|
||||||
|
*
|
||||||
|
* @param {Array.<ol.structs.RTreeNode>} nodes Array of source nodes.
|
||||||
|
* @return {Array.<ol.structs.RTreeNode>} An array of two new arrays
|
||||||
|
* of nodes.
|
||||||
*/
|
*/
|
||||||
this.children = [];
|
var pickLinear = function(nodes) {
|
||||||
|
var lowestHighX = nodes.length - 1;
|
||||||
|
var highestLowX = 0;
|
||||||
|
var lowestHighY = nodes.length - 1;
|
||||||
|
var highestLowY = 0;
|
||||||
|
var t1, t2;
|
||||||
|
|
||||||
};
|
for (var i = nodes.length - 2; i >= 0; --i) {
|
||||||
|
var l = nodes[i];
|
||||||
|
if (l.extent[0] > nodes[highestLowX].extent[0]) {
|
||||||
/**
|
highestLowX = i;
|
||||||
* Find all objects intersected by a rectangle.
|
} else if (l.extent[1] < nodes[lowestHighX].extent[2]) {
|
||||||
* @param {ol.Extent} bounds Bounding box.
|
lowestHighX = i;
|
||||||
* @param {Object.<string, Object>} results Target object for results.
|
}
|
||||||
* @param {string=} opt_type Type for another indexing dimension.
|
if (l.extent[2] > nodes[highestLowY].extent[2]) {
|
||||||
*/
|
highestLowY = i;
|
||||||
ol.structs.RTreeNode_.prototype.find = function(bounds, results, opt_type) {
|
} else if (l.extent[3] < nodes[lowestHighY].extent[3]) {
|
||||||
if ((!goog.isDef(opt_type) || this.types[opt_type] === true) &&
|
lowestHighY = i;
|
||||||
ol.extent.intersects(this.bounds, bounds)) {
|
}
|
||||||
var numChildren = this.children.length;
|
}
|
||||||
if (numChildren === 0) {
|
var dx = Math.abs(nodes[lowestHighX].extent[1] -
|
||||||
if (goog.isDef(this.object)) {
|
nodes[highestLowX].extent[0]);
|
||||||
results[this.objectId] = this.object;
|
var dy = Math.abs(nodes[lowestHighY].extent[3] -
|
||||||
|
nodes[highestLowY].extent[2]);
|
||||||
|
if (dx > dy) {
|
||||||
|
if (lowestHighX > highestLowX) {
|
||||||
|
t1 = nodes.splice(lowestHighX, 1)[0];
|
||||||
|
t2 = nodes.splice(highestLowX, 1)[0];
|
||||||
|
} else {
|
||||||
|
t2 = nodes.splice(highestLowX, 1)[0];
|
||||||
|
t1 = nodes.splice(lowestHighX, 1)[0];
|
||||||
}
|
}
|
||||||
} else {
|
} else {
|
||||||
for (var i = 0; i < numChildren; ++i) {
|
if (lowestHighY > highestLowY) {
|
||||||
this.children[i].find(bounds, results, opt_type);
|
t1 = nodes.splice(lowestHighY, 1)[0];
|
||||||
|
t2 = nodes.splice(highestLowY, 1)[0];
|
||||||
|
} else {
|
||||||
|
t2 = nodes.splice(highestLowY, 1)[0];
|
||||||
|
t1 = nodes.splice(lowestHighY, 1)[0];
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
}
|
return [
|
||||||
};
|
/** @type {ol.structs.RTreeNode} */
|
||||||
|
({extent: t1.extent.concat(), nodes: [t1]}),
|
||||||
|
/** @type {ol.structs.RTreeNode} */
|
||||||
|
({extent: t2.extent.concat(), nodes: [t2]})
|
||||||
|
];
|
||||||
|
};
|
||||||
|
|
||||||
|
|
||||||
/**
|
/**
|
||||||
* Find the appropriate node for insertion.
|
* Non-recursive internal search function
|
||||||
* @param {ol.Extent} bounds Bounding box.
|
*
|
||||||
* @return {ol.structs.RTreeNode_|undefined} Matching node.
|
* @param {ol.structs.RTreeNode} rect Rectangle.
|
||||||
|
* @param {boolean} returnNode Do we return nodes?
|
||||||
|
* @param {Array|Object} result Result.
|
||||||
|
* @param {ol.structs.RTreeNode} root Root.
|
||||||
|
* @param {string=} opt_type Optional type to search for.
|
||||||
|
* @return {Array|Object} Result.
|
||||||
*/
|
*/
|
||||||
ol.structs.RTreeNode_.prototype.get = function(bounds) {
|
var searchSubtree = function(rect, returnNode, result, root, opt_type) {
|
||||||
if (ol.extent.intersects(this.bounds, bounds)) {
|
var hitStack = []; // Contains the elements that overlap
|
||||||
var numChildren = this.children.length;
|
|
||||||
if (numChildren === 0) {
|
|
||||||
return goog.isNull(this.parent) ? this : this.parent;
|
|
||||||
}
|
|
||||||
var node;
|
|
||||||
for (var i = 0; i < numChildren; ++i) {
|
|
||||||
node = this.children[i].get(bounds);
|
|
||||||
if (goog.isDef(node)) {
|
|
||||||
return node;
|
|
||||||
}
|
|
||||||
}
|
|
||||||
return this;
|
|
||||||
}
|
|
||||||
};
|
|
||||||
|
|
||||||
|
if (!ol.extent.intersects(rect.extent, root.extent)) {
|
||||||
|
return result;
|
||||||
|
}
|
||||||
|
|
||||||
/**
|
hitStack.push(root.nodes);
|
||||||
* Update boxes up to the root to ensure correct bounding
|
|
||||||
* @param {ol.Extent} bounds Bounding box.
|
do {
|
||||||
|
var nodes = hitStack.pop();
|
||||||
|
|
||||||
|
for (var i = nodes.length - 1; i >= 0; --i) {
|
||||||
|
var lTree = nodes[i];
|
||||||
|
if (ol.extent.intersects(rect.extent, lTree.extent)) {
|
||||||
|
if (goog.isDef(lTree.nodes)) { // Not a Leaf
|
||||||
|
hitStack.push(lTree.nodes);
|
||||||
|
} else if (goog.isDef(lTree.leaf)) { // A Leaf !!
|
||||||
|
if (!returnNode) {
|
||||||
|
// TODO keep track of type on all nodes so we don't have to
|
||||||
|
// walk all the way in to the leaf to know that we don't need it
|
||||||
|
if (!goog.isDef(opt_type) || lTree.type == opt_type) {
|
||||||
|
var obj = lTree.leaf;
|
||||||
|
result[goog.getUid(obj).toString()] = obj;
|
||||||
|
}
|
||||||
|
} else {
|
||||||
|
result.push(lTree);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
} while (hitStack.length > 0);
|
||||||
|
|
||||||
|
return result;
|
||||||
|
};
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Non-recursive internal insert function.
|
||||||
|
*
|
||||||
|
* @param {ol.structs.RTreeNode} node Node to insert.
|
||||||
|
* @param {ol.structs.RTreeNode} root Root to begin insertion at.
|
||||||
*/
|
*/
|
||||||
ol.structs.RTreeNode_.prototype.update = function(bounds) {
|
var insertSubtree = function(node, root) {
|
||||||
ol.extent.extend(this.bounds, bounds);
|
var bc; // Best Current node
|
||||||
if (!goog.isNull(this.parent)) {
|
// Initial insertion is special because we resize the Tree and we don't
|
||||||
this.parent.update(bounds);
|
// care about any overflow (seriously, how can the first object overflow?)
|
||||||
}
|
if (root.nodes.length === 0) {
|
||||||
};
|
root.extent = node.extent.concat();
|
||||||
|
root.nodes.push(node);
|
||||||
|
|
||||||
/**
|
|
||||||
* Divide @this node's children in half and create two new boxes containing
|
|
||||||
* the split items. The top left will be the topmost leftmost child and the
|
|
||||||
* bottom right will be the rightmost bottommost child.
|
|
||||||
*/
|
|
||||||
ol.structs.RTreeNode_.prototype.divide = function() {
|
|
||||||
var numChildren = this.children.length;
|
|
||||||
if (numChildren === 0) {
|
|
||||||
return;
|
return;
|
||||||
}
|
}
|
||||||
|
|
||||||
var half = Math.ceil(numChildren / 2),
|
// Find the best fitting leaf node
|
||||||
child, node;
|
// chooseLeaf returns an array of all tree levels (including root)
|
||||||
|
// that were traversed while trying to find the leaf
|
||||||
|
var treeStack = chooseLeafSubtree(node, root);
|
||||||
|
var workingObject = node;
|
||||||
|
|
||||||
for (var i = 0; i < numChildren; ++i) {
|
// Walk back up the tree resizing and inserting as needed
|
||||||
child = this.children[i];
|
do {
|
||||||
if (i % half === 0) {
|
//handle the case of an empty node (from a split)
|
||||||
node = new ol.structs.RTreeNode_(
|
if (bc && goog.isDef(bc.nodes) && bc.nodes.length === 0) {
|
||||||
child.bounds.slice(), this, this.level + 1);
|
var pbc = bc; // Past bc
|
||||||
goog.object.extend(this.types, node.types);
|
bc = treeStack.pop();
|
||||||
this.children.push(node);
|
for (var t = 0, tt = bc.nodes.length; t < tt; ++t) {
|
||||||
|
if (bc.nodes[t] === pbc || bc.nodes[t].nodes.length === 0) {
|
||||||
|
bc.nodes.splice(t, 1);
|
||||||
|
break;
|
||||||
}
|
}
|
||||||
child.parent = /** @type {ol.structs.RTreeNode_} */ (node);
|
|
||||||
goog.object.extend(node.types, child.types);
|
|
||||||
node.children.push(child);
|
|
||||||
ol.extent.extend(node.bounds, child.bounds);
|
|
||||||
}
|
}
|
||||||
};
|
} else {
|
||||||
|
bc = treeStack.pop();
|
||||||
|
}
|
||||||
|
|
||||||
|
// If there is data attached to this workingObject
|
||||||
|
var isArray = goog.isArray(workingObject);
|
||||||
|
if (goog.isDef(workingObject.leaf) ||
|
||||||
|
goog.isDef(workingObject.nodes) || isArray) {
|
||||||
|
// Do Insert
|
||||||
|
if (isArray) {
|
||||||
|
for (var ai = 0, aii = workingObject.length; ai < aii; ++ai) {
|
||||||
|
ol.extent.extend(bc.extent, workingObject[ai].extent);
|
||||||
|
}
|
||||||
|
bc.nodes = bc.nodes.concat(workingObject);
|
||||||
|
} else {
|
||||||
|
ol.extent.extend(bc.extent, workingObject.extent);
|
||||||
|
bc.nodes.push(workingObject); // Do Insert
|
||||||
|
}
|
||||||
|
|
||||||
|
if (bc.nodes.length <= maxWidth) { // Start Resizeing Up the Tree
|
||||||
|
workingObject = {extent: bc.extent.concat()};
|
||||||
|
} else { // Otherwise Split this Node
|
||||||
|
// linearSplit() returns an array containing two new nodes
|
||||||
|
// formed from the split of the previous node's overflow
|
||||||
|
var a = linearSplit(bc.nodes);
|
||||||
|
workingObject = a;//[1];
|
||||||
|
|
||||||
/**
|
if (treeStack.length < 1) { // If are splitting the root..
|
||||||
* @constructor
|
bc.nodes.push(a[0]);
|
||||||
*/
|
treeStack.push(bc); // Reconsider the root element
|
||||||
ol.structs.RTree = function() {
|
workingObject = a[1];
|
||||||
|
}
|
||||||
|
}
|
||||||
|
} else { // Otherwise Do Resize
|
||||||
|
//Just keep applying the new bounding rectangle to the parents..
|
||||||
|
ol.extent.extend(bc.extent, workingObject.extent);
|
||||||
|
workingObject = ({extent: bc.extent.concat()});
|
||||||
|
}
|
||||||
|
} while (treeStack.length > 0);
|
||||||
|
};
|
||||||
|
|
||||||
/**
|
/**
|
||||||
* @private
|
* Non-recursive search function
|
||||||
* @type {ol.structs.RTreeNode_}
|
*
|
||||||
|
* @param {ol.Extent} extent Extent.
|
||||||
|
* @param {string=} opt_type Optional type of the objects we want to find.
|
||||||
|
* @return {Object} Result. Keys are UIDs of the values.
|
||||||
|
* @this {ol.structs.RTree}
|
||||||
*/
|
*/
|
||||||
this.root_ = new ol.structs.RTreeNode_(
|
this.find = function(extent, opt_type) {
|
||||||
[-Infinity, Infinity, -Infinity, Infinity], null, 0);
|
var rect = /** @type {ol.structs.RTreeNode} */ ({extent: extent});
|
||||||
|
return searchSubtree.apply(this, [rect, false, {}, rootTree, opt_type]);
|
||||||
|
};
|
||||||
|
|
||||||
};
|
/**
|
||||||
|
* Non-recursive function that deletes a specific region.
|
||||||
|
*
|
||||||
/**
|
* @param {ol.Extent} extent Extent.
|
||||||
* @param {ol.Extent} bounds Bounding box.
|
* @param {Object=} opt_obj Object.
|
||||||
* @param {string=} opt_type Type for another indexing dimension.
|
* @return {Array} Result.
|
||||||
* @return {Object.<string, Object>} Results for the passed bounding box.
|
* @this {ol.structs.RTree}
|
||||||
*/
|
*/
|
||||||
ol.structs.RTree.prototype.find = function(bounds, opt_type) {
|
this.remove = function(extent, opt_obj) {
|
||||||
var results = /** @type {Object.<string, Object>} */ ({});
|
arguments[0] = /** @type {ol.structs.RTreeNode} */ ({extent: extent});
|
||||||
this.root_.find(bounds, results, opt_type);
|
switch (arguments.length) {
|
||||||
return results;
|
case 1:
|
||||||
};
|
arguments[1] = false; // opt_obj == false for conditionals
|
||||||
|
case 2:
|
||||||
|
arguments[2] = rootTree; // Add root node to end of argument list
|
||||||
|
default:
|
||||||
|
arguments.length = 3;
|
||||||
|
}
|
||||||
|
if (arguments[1] === false) { // Do area-wide †
|
||||||
|
var numberDeleted = 0;
|
||||||
|
var result = [];
|
||||||
|
do {
|
||||||
|
numberDeleted = result.length;
|
||||||
|
result = result.concat(removeSubtree.apply(this, arguments));
|
||||||
|
} while (numberDeleted != result.length);
|
||||||
|
return result;
|
||||||
|
} else { // Delete a specific item
|
||||||
|
return removeSubtree.apply(this, arguments);
|
||||||
|
}
|
||||||
|
};
|
||||||
|
|
||||||
|
/**
|
||||||
/**
|
* Non-recursive insert function.
|
||||||
* @param {ol.Extent} bounds Bounding box.
|
*
|
||||||
* @param {Object} object Object to store with the passed bounds.
|
* @param {ol.Extent} extent Extent.
|
||||||
* @param {string=} opt_type Type for another indexing dimension.
|
* @param {Object} obj Object to insert.
|
||||||
|
* @param {string=} opt_type Optional type to store along with the object.
|
||||||
*/
|
*/
|
||||||
ol.structs.RTree.prototype.put = function(bounds, object, opt_type) {
|
this.put = function(extent, obj, opt_type) {
|
||||||
var found = this.root_.get(bounds);
|
var node = /** @type {ol.structs.RTreeNode} */
|
||||||
if (found) {
|
({extent: extent, leaf: obj});
|
||||||
var node = new ol.structs.RTreeNode_(bounds, found, found.level + 1);
|
|
||||||
node.object = object;
|
|
||||||
node.objectId = goog.getUid(object).toString();
|
|
||||||
|
|
||||||
found.children.push(node);
|
|
||||||
found.update(bounds);
|
|
||||||
|
|
||||||
if (goog.isDef(opt_type)) {
|
if (goog.isDef(opt_type)) {
|
||||||
node.types[opt_type] = true;
|
node.type = opt_type;
|
||||||
found.types[opt_type] = true;
|
|
||||||
}
|
}
|
||||||
|
insertSubtree(node, rootTree);
|
||||||
|
};
|
||||||
|
|
||||||
if (found.children.length >= ol.structs.RTree.MAX_OBJECTS &&
|
//End of RTree
|
||||||
found.level < ol.structs.RTree.MAX_SUB_DIVISIONS) {
|
|
||||||
found.divide();
|
|
||||||
}
|
|
||||||
}
|
|
||||||
};
|
};
|
||||||
|
|
||||||
|
|
||||||
/**
|
|
||||||
* @type {number}
|
|
||||||
*/
|
|
||||||
ol.structs.RTree.MAX_SUB_DIVISIONS = 6;
|
|
||||||
|
|
||||||
|
|
||||||
/**
|
|
||||||
* @type {number}
|
|
||||||
*/
|
|
||||||
ol.structs.RTree.MAX_OBJECTS = 6;
|
|
||||||
|
|||||||
@@ -3,8 +3,87 @@ goog.provide('ol.test.structs.RTree');
|
|||||||
|
|
||||||
describe('ol.structs.RTree', function() {
|
describe('ol.structs.RTree', function() {
|
||||||
|
|
||||||
describe('put and find', function() {
|
|
||||||
var rTree = new ol.structs.RTree();
|
var rTree = new ol.structs.RTree();
|
||||||
|
|
||||||
|
describe('creation', function() {
|
||||||
|
it('can insert 1k objects', function() {
|
||||||
|
var i = 1000;
|
||||||
|
while (i > 0) {
|
||||||
|
var bounds = new Array(4);
|
||||||
|
bounds[0] = Math.random() * 10000;
|
||||||
|
bounds[1] = bounds[0] + Math.random() * 500;
|
||||||
|
bounds[2] = Math.random() * 10000;
|
||||||
|
bounds[3] = bounds[2] + Math.random() * 500;
|
||||||
|
rTree.put(bounds, 'JUST A TEST OBJECT!_' + i);
|
||||||
|
i--;
|
||||||
|
}
|
||||||
|
expect(goog.object.getCount(rTree.find([0, 10600, 0, 10600])))
|
||||||
|
.to.be(1000);
|
||||||
|
});
|
||||||
|
it('can insert 1k more objects', function() {
|
||||||
|
var i = 1000;
|
||||||
|
while (i > 0) {
|
||||||
|
var bounds = new Array(4);
|
||||||
|
bounds[0] = Math.random() * 10000;
|
||||||
|
bounds[1] = bounds[0] + Math.random() * 500;
|
||||||
|
bounds[2] = Math.random() * 10000;
|
||||||
|
bounds[3] = bounds[2] + Math.random() * 500;
|
||||||
|
rTree.put(bounds, 'JUST A TEST OBJECT!_' + i);
|
||||||
|
i--;
|
||||||
|
}
|
||||||
|
expect(goog.object.getCount(rTree.find([0, 10600, 0, 10600])))
|
||||||
|
.to.be(2000);
|
||||||
|
});
|
||||||
|
});
|
||||||
|
|
||||||
|
describe('search', function() {
|
||||||
|
it('can perform 1k out-of-bounds searches', function() {
|
||||||
|
var i = 1000;
|
||||||
|
var len = 0;
|
||||||
|
while (i > 0) {
|
||||||
|
var bounds = new Array(4);
|
||||||
|
bounds[0] = -(Math.random() * 10000 + 501);
|
||||||
|
bounds[1] = bounds[0] + Math.random() * 500;
|
||||||
|
bounds[2] = -(Math.random() * 10000 + 501);
|
||||||
|
bounds[3] = bounds[2] + Math.random() * 500;
|
||||||
|
len += goog.object.getCount(rTree.find(bounds));
|
||||||
|
i--;
|
||||||
|
}
|
||||||
|
expect(len).to.be(0);
|
||||||
|
});
|
||||||
|
it('can perform 1k in-bounds searches', function() {
|
||||||
|
var i = 1000;
|
||||||
|
var len = 0;
|
||||||
|
while (i > 0) {
|
||||||
|
var bounds = new Array(4);
|
||||||
|
bounds[0] = -Math.random() * 10000 + 501;
|
||||||
|
bounds[1] = bounds[0] + Math.random() * 500;
|
||||||
|
bounds[2] = -Math.random() * 10000 + 501;
|
||||||
|
bounds[3] = bounds[2] + Math.random() * 500;
|
||||||
|
len += goog.object.getCount(rTree.find(bounds));
|
||||||
|
i--;
|
||||||
|
}
|
||||||
|
expect(len).not.to.be(0);
|
||||||
|
});
|
||||||
|
});
|
||||||
|
|
||||||
|
describe('deletion', function() {
|
||||||
|
var len = 0;
|
||||||
|
it('can delete half the RTree', function() {
|
||||||
|
var bounds = [5000, 10500, 0, 10500];
|
||||||
|
len += rTree.remove(bounds).length;
|
||||||
|
expect(len).to.not.be(0);
|
||||||
|
});
|
||||||
|
it('can delete the other half of the RTree', function() {
|
||||||
|
var bounds = [0, 5000, 0, 10500];
|
||||||
|
len += rTree.remove(bounds).length;
|
||||||
|
expect(len).to.be(2000);
|
||||||
|
});
|
||||||
|
});
|
||||||
|
|
||||||
|
describe('result plausibility', function() {
|
||||||
|
|
||||||
|
it('filters by rectangle', function() {
|
||||||
rTree.put([0, 1, 0, 1], 1);
|
rTree.put([0, 1, 0, 1], 1);
|
||||||
rTree.put([1, 4, 1, 4], 2);
|
rTree.put([1, 4, 1, 4], 2);
|
||||||
rTree.put([2, 3, 2, 3], 3);
|
rTree.put([2, 3, 2, 3], 3);
|
||||||
@@ -12,14 +91,6 @@ describe('ol.structs.RTree', function() {
|
|||||||
rTree.put([-4, -1, -4, -1], 5);
|
rTree.put([-4, -1, -4, -1], 5);
|
||||||
rTree.put([-3, -2, -3, -2], 6);
|
rTree.put([-3, -2, -3, -2], 6);
|
||||||
|
|
||||||
it('stores items', function() {
|
|
||||||
expect(goog.object.getCount(rTree.find([
|
|
||||||
Number.NEGATIVE_INFINITY, Number.POSITIVE_INFINITY,
|
|
||||||
Number.NEGATIVE_INFINITY, Number.POSITIVE_INFINITY
|
|
||||||
]))).to.be(6);
|
|
||||||
});
|
|
||||||
|
|
||||||
it('filters by rectangle', function() {
|
|
||||||
var result;
|
var result;
|
||||||
result = goog.object.getValues(rTree.find([2, 3, 2, 3]));
|
result = goog.object.getValues(rTree.find([2, 3, 2, 3]));
|
||||||
expect(result).to.contain(2);
|
expect(result).to.contain(2);
|
||||||
@@ -34,26 +105,6 @@ describe('ol.structs.RTree', function() {
|
|||||||
expect(goog.object.getCount(rTree.find([5, 6, 5, 6]))).to.be(0);
|
expect(goog.object.getCount(rTree.find([5, 6, 5, 6]))).to.be(0);
|
||||||
});
|
});
|
||||||
|
|
||||||
it('can store thousands of items and find fast', function() {
|
|
||||||
for (var i = 7; i <= 10000; ++i) {
|
|
||||||
rTree.put([
|
|
||||||
Math.random() * -10, Math.random() * 10,
|
|
||||||
Math.random() * -10, Math.random() * 10
|
|
||||||
], i);
|
|
||||||
}
|
|
||||||
expect(goog.object.getCount(rTree.find([-10, 10, -10, 10]))).to.be(10000);
|
|
||||||
var result = rTree.find([0, 0, 0, 0]);
|
|
||||||
expect(goog.object.getCount(result)).to.be(9995);
|
|
||||||
var values = goog.object.getValues(result);
|
|
||||||
expect(values).to.contain(1);
|
|
||||||
expect(values).not.to.contain(2);
|
|
||||||
expect(values).not.to.contain(3);
|
|
||||||
expect(values).not.to.contain(4);
|
|
||||||
expect(values).not.to.contain(5);
|
|
||||||
expect(values).not.to.contain(6);
|
|
||||||
expect(values).to.contain(7);
|
|
||||||
});
|
|
||||||
|
|
||||||
});
|
});
|
||||||
|
|
||||||
});
|
});
|
||||||
|
|||||||
Reference in New Issue
Block a user