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 * contributor license agreements.  See the NOTICE file distributed with
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 * The ASF licenses this file to You under the Apache License, Version 2.0
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package org.apache.commons.math3.geometry.partitioning;

import java.util.ArrayList;
import java.util.List;

import org.apache.commons.math3.exception.MathIllegalStateException;
import org.apache.commons.math3.exception.MathInternalError;
import org.apache.commons.math3.exception.util.LocalizedFormats;
import org.apache.commons.math3.geometry.Point;
import org.apache.commons.math3.geometry.Space;
import org.apache.commons.math3.geometry.Vector;
import org.apache.commons.math3.util.FastMath;

/** This class represent a Binary Space Partition tree.

 * 

BSP trees are an efficient way to represent space partitions and * to associate attributes with each cell. Each node in a BSP tree * represents a convex region which is partitioned in two convex * sub-regions at each side of a cut hyperplane. The root tree * contains the complete space.

*

The main use of such partitions is to use a boolean attribute to * define an inside/outside property, hence representing arbitrary * polytopes (line segments in 1D, polygons in 2D and polyhedrons in * 3D) and to operate on them.

*

Another example would be to represent Voronoi tesselations, the * attribute of each cell holding the defining point of the cell.

*

The application-defined attributes are shared among copied * instances and propagated to split parts. These attributes are not * used by the BSP-tree algorithms themselves, so the application can * use them for any purpose. Since the tree visiting method holds * internal and leaf nodes differently, it is possible to use * different classes for internal nodes attributes and leaf nodes * attributes. This should be used with care, though, because if the * tree is modified in any way after attributes have been set, some * internal nodes may become leaf nodes and some leaf nodes may become * internal nodes.

*

One of the main sources for the development of this package was * Bruce Naylor, John Amanatides and William Thibault paper Merging * BSP Trees Yields Polyhedral Set Operations Proc. Siggraph '90, * Computer Graphics 24(4), August 1990, pp 115-124, published by the * Association for Computing Machinery (ACM).

* @param Type of the space. * @since 3.0 */ public class BSPTree { /** Cut sub-hyperplane. */ private SubHyperplane cut; /** Tree at the plus side of the cut hyperplane. */ private BSPTree plus; /** Tree at the minus side of the cut hyperplane. */ private BSPTree minus; /** Parent tree. */ private BSPTree parent; /** Application-defined attribute. */ private Object attribute; /** Build a tree having only one root cell representing the whole space. */ public BSPTree() { cut = null; plus = null; minus = null; parent = null; attribute = null; } /** Build a tree having only one root cell representing the whole space. * @param attribute attribute of the tree (may be null) */ public BSPTree(final Object attribute) { cut = null; plus = null; minus = null; parent = null; this.attribute = attribute; } /** Build a BSPTree from its underlying elements. *

This method does not perform any verification on * consistency of its arguments, it should therefore be used only * when then caller knows what it is doing.

*

This method is mainly useful to build trees * bottom-up. Building trees top-down is realized with the help of * method {@link #insertCut insertCut}.

* @param cut cut sub-hyperplane for the tree * @param plus plus side sub-tree * @param minus minus side sub-tree * @param attribute attribute associated with the node (may be null) * @see #insertCut */ public BSPTree(final SubHyperplane cut, final BSPTree plus, final BSPTree minus, final Object attribute) { this.cut = cut; this.plus = plus; this.minus = minus; this.parent = null; this.attribute = attribute; plus.parent = this; minus.parent = this; } /** Insert a cut sub-hyperplane in a node. *

The sub-tree starting at this node will be completely * overwritten. The new cut sub-hyperplane will be built from the * intersection of the provided hyperplane with the cell. If the * hyperplane does intersect the cell, the cell will have two * children cells with {@code null} attributes on each side of * the inserted cut sub-hyperplane. If the hyperplane does not * intersect the cell then no cut hyperplane will be * inserted and the cell will be changed to a leaf cell. The * attribute of the node is never changed.

*

This method is mainly useful when called on leaf nodes * (i.e. nodes for which {@link #getCut getCut} returns * {@code null}), in this case it provides a way to build a * tree top-down (whereas the {@link #BSPTree(SubHyperplane, * BSPTree, BSPTree, Object) 4 arguments constructor} is devoted to * build trees bottom-up).

* @param hyperplane hyperplane to insert, it will be chopped in * order to fit in the cell defined by the parent nodes of the * instance * @return true if a cut sub-hyperplane has been inserted (i.e. if * the cell now has two leaf child nodes) * @see #BSPTree(SubHyperplane, BSPTree, BSPTree, Object) */ public boolean insertCut(final Hyperplane hyperplane) { if (cut != null) { plus.parent = null; minus.parent = null; } final SubHyperplane chopped = fitToCell(hyperplane.wholeHyperplane()); if (chopped == null || chopped.isEmpty()) { cut = null; plus = null; minus = null; return false; } cut = chopped; plus = new BSPTree(); plus.parent = this; minus = new BSPTree(); minus.parent = this; return true; } /** Copy the instance. *

The instance created is completely independent of the original * one. A deep copy is used, none of the underlying objects are * shared (except for the nodes attributes and immutable * objects).

* @return a new tree, copy of the instance */ public BSPTree copySelf() { if (cut == null) { return new BSPTree(attribute); } return new BSPTree(cut.copySelf(), plus.copySelf(), minus.copySelf(), attribute); } /** Get the cut sub-hyperplane. * @return cut sub-hyperplane, null if this is a leaf tree */ public SubHyperplane getCut() { return cut; } /** Get the tree on the plus side of the cut hyperplane. * @return tree on the plus side of the cut hyperplane, null if this * is a leaf tree */ public BSPTree getPlus() { return plus; } /** Get the tree on the minus side of the cut hyperplane. * @return tree on the minus side of the cut hyperplane, null if this * is a leaf tree */ public BSPTree getMinus() { return minus; } /** Get the parent node. * @return parent node, null if the node has no parents */ public BSPTree getParent() { return parent; } /** Associate an attribute with the instance. * @param attribute attribute to associate with the node * @see #getAttribute */ public void setAttribute(final Object attribute) { this.attribute = attribute; } /** Get the attribute associated with the instance. * @return attribute associated with the node or null if no * attribute has been explicitly set using the {@link #setAttribute * setAttribute} method * @see #setAttribute */ public Object getAttribute() { return attribute; } /** Visit the BSP tree nodes. * @param visitor object visiting the tree nodes */ public void visit(final BSPTreeVisitor visitor) { if (cut == null) { visitor.visitLeafNode(this); } else { switch (visitor.visitOrder(this)) { case PLUS_MINUS_SUB: plus.visit(visitor); minus.visit(visitor); visitor.visitInternalNode(this); break; case PLUS_SUB_MINUS: plus.visit(visitor); visitor.visitInternalNode(this); minus.visit(visitor); break; case MINUS_PLUS_SUB: minus.visit(visitor); plus.visit(visitor); visitor.visitInternalNode(this); break; case MINUS_SUB_PLUS: minus.visit(visitor); visitor.visitInternalNode(this); plus.visit(visitor); break; case SUB_PLUS_MINUS: visitor.visitInternalNode(this); plus.visit(visitor); minus.visit(visitor); break; case SUB_MINUS_PLUS: visitor.visitInternalNode(this); minus.visit(visitor); plus.visit(visitor); break; default: throw new MathInternalError(); } } } /** Fit a sub-hyperplane inside the cell defined by the instance. *

Fitting is done by chopping off the parts of the * sub-hyperplane that lie outside of the cell using the * cut-hyperplanes of the parent nodes of the instance.

* @param sub sub-hyperplane to fit * @return a new sub-hyperplane, guaranteed to have no part outside * of the instance cell */ private SubHyperplane fitToCell(final SubHyperplane sub) { SubHyperplane s = sub; for (BSPTree tree = this; tree.parent != null && s != null; tree = tree.parent) { if (tree == tree.parent.plus) { s = s.split(tree.parent.cut.getHyperplane()).getPlus(); } else { s = s.split(tree.parent.cut.getHyperplane()).getMinus(); } } return s; } /** Get the cell to which a point belongs. *

If the returned cell is a leaf node the points belongs to the * interior of the node, if the cell is an internal node the points * belongs to the node cut sub-hyperplane.

* @param point point to check * @return the tree cell to which the point belongs * @deprecated as of 3.3, replaced with {@link #getCell(Point, double)} */ @Deprecated public BSPTree getCell(final Vector point) { return getCell((Point) point, 1.0e-10); } /** Get the cell to which a point belongs. *

If the returned cell is a leaf node the points belongs to the * interior of the node, if the cell is an internal node the points * belongs to the node cut sub-hyperplane.

* @param point point to check * @param tolerance tolerance below which points close to a cut hyperplane * are considered to belong to the hyperplane itself * @return the tree cell to which the point belongs */ public BSPTree getCell(final Point point, final double tolerance) { if (cut == null) { return this; } // position of the point with respect to the cut hyperplane final double offset = cut.getHyperplane().getOffset(point); if (FastMath.abs(offset) < tolerance) { return this; } else if (offset <= 0) { // point is on the minus side of the cut hyperplane return minus.getCell(point, tolerance); } else { // point is on the plus side of the cut hyperplane return plus.getCell(point, tolerance); } } /** Get the cells whose cut sub-hyperplanes are close to the point. * @param point point to check * @param maxOffset offset below which a cut sub-hyperplane is considered * close to the point (in absolute value) * @return close cells (may be empty if all cut sub-hyperplanes are farther * than maxOffset from the point) */ public List> getCloseCuts(final Point point, final double maxOffset) { final List> close = new ArrayList>(); recurseCloseCuts(point, maxOffset, close); return close; } /** Get the cells whose cut sub-hyperplanes are close to the point. * @param point point to check * @param maxOffset offset below which a cut sub-hyperplane is considered * close to the point (in absolute value) * @param close list to fill */ private void recurseCloseCuts(final Point point, final double maxOffset, final List> close) { if (cut != null) { // position of the point with respect to the cut hyperplane final double offset = cut.getHyperplane().getOffset(point); if (offset < -maxOffset) { // point is on the minus side of the cut hyperplane minus.recurseCloseCuts(point, maxOffset, close); } else if (offset > maxOffset) { // point is on the plus side of the cut hyperplane plus.recurseCloseCuts(point, maxOffset, close); } else { // point is close to the cut hyperplane close.add(this); minus.recurseCloseCuts(point, maxOffset, close); plus.recurseCloseCuts(point, maxOffset, close); } } } /** Perform condensation on a tree. *

The condensation operation is not recursive, it must be called * explicitly from leaves to root.

*/ private void condense() { if ((cut != null) && (plus.cut == null) && (minus.cut == null) && (((plus.attribute == null) && (minus.attribute == null)) || ((plus.attribute != null) && plus.attribute.equals(minus.attribute)))) { attribute = (plus.attribute == null) ? minus.attribute : plus.attribute; cut = null; plus = null; minus = null; } } /** Merge a BSP tree with the instance. *

All trees are modified (parts of them are reused in the new * tree), it is the responsibility of the caller to ensure a copy * has been done before if any of the former tree should be * preserved, no such copy is done here!

*

The algorithm used here is directly derived from the one * described in the Naylor, Amanatides and Thibault paper (section * III, Binary Partitioning of a BSP Tree).

* @param tree other tree to merge with the instance (will be * unusable after the operation, as well as the * instance itself) * @param leafMerger object implementing the final merging phase * (this is where the semantic of the operation occurs, generally * depending on the attribute of the leaf node) * @return a new tree, result of instance <op> * tree, this value can be ignored if parentTree is not null * since all connections have already been established */ public BSPTree merge(final BSPTree tree, final LeafMerger leafMerger) { return merge(tree, leafMerger, null, false); } /** Merge a BSP tree with the instance. * @param tree other tree to merge with the instance (will be * unusable after the operation, as well as the * instance itself) * @param leafMerger object implementing the final merging phase * (this is where the semantic of the operation occurs, generally * depending on the attribute of the leaf node) * @param parentTree parent tree to connect to (may be null) * @param isPlusChild if true and if parentTree is not null, the * resulting tree should be the plus child of its parent, ignored if * parentTree is null * @return a new tree, result of instance <op> * tree, this value can be ignored if parentTree is not null * since all connections have already been established */ private BSPTree merge(final BSPTree tree, final LeafMerger leafMerger, final BSPTree parentTree, final boolean isPlusChild) { if (cut == null) { // cell/tree operation return leafMerger.merge(this, tree, parentTree, isPlusChild, true); } else if (tree.cut == null) { // tree/cell operation return leafMerger.merge(tree, this, parentTree, isPlusChild, false); } else { // tree/tree operation final BSPTree merged = tree.split(cut); if (parentTree != null) { merged.parent = parentTree; if (isPlusChild) { parentTree.plus = merged; } else { parentTree.minus = merged; } } // merging phase plus.merge(merged.plus, leafMerger, merged, true); minus.merge(merged.minus, leafMerger, merged, false); merged.condense(); if (merged.cut != null) { merged.cut = merged.fitToCell(merged.cut.getHyperplane().wholeHyperplane()); } return merged; } } /** This interface gather the merging operations between a BSP tree * leaf and another BSP tree. *

As explained in Bruce Naylor, John Amanatides and William * Thibault paper Merging * BSP Trees Yields Polyhedral Set Operations, * the operations on {@link BSPTree BSP trees} can be expressed as a * generic recursive merging operation where only the final part, * when one of the operand is a leaf, is specific to the real * operation semantics. For example, a tree representing a region * using a boolean attribute to identify inside cells and outside * cells would use four different objects to implement the final * merging phase of the four set operations union, intersection, * difference and symmetric difference (exclusive or).

* @param Type of the space. */ public interface LeafMerger { /** Merge a leaf node and a tree node. *

This method is called at the end of a recursive merging * resulting from a {@code tree1.merge(tree2, leafMerger)} * call, when one of the sub-trees involved is a leaf (i.e. when * its cut-hyperplane is null). This is the only place where the * precise semantics of the operation are required. For all upper * level nodes in the tree, the merging operation is only a * generic partitioning algorithm.

*

Since the final operation may be non-commutative, it is * important to know if the leaf node comes from the instance tree * ({@code tree1}) or the argument tree * ({@code tree2}). The third argument of the method is * devoted to this. It can be ignored for commutative * operations.

*

The {@link BSPTree#insertInTree BSPTree.insertInTree} method * may be useful to implement this method.

* @param leaf leaf node (its cut hyperplane is guaranteed to be * null) * @param tree tree node (its cut hyperplane may be null or not) * @param parentTree parent tree to connect to (may be null) * @param isPlusChild if true and if parentTree is not null, the * resulting tree should be the plus child of its parent, ignored if * parentTree is null * @param leafFromInstance if true, the leaf node comes from the * instance tree ({@code tree1}) and the tree node comes from * the argument tree ({@code tree2}) * @return the BSP tree resulting from the merging (may be one of * the arguments) */ BSPTree merge(BSPTree leaf, BSPTree tree, BSPTree parentTree, boolean isPlusChild, boolean leafFromInstance); } /** This interface handles the corner cases when an internal node cut sub-hyperplane vanishes. *

* Such cases happens for example when a cut sub-hyperplane is inserted into * another tree (during a merge operation), and is split in several parts, * some of which becomes smaller than the tolerance. The corresponding node * as then no cut sub-hyperplane anymore, but does have children. This interface * specifies how to handle this situation. * setting *

* @since 3.4 */ public interface VanishingCutHandler { /** Fix a node with both vanished cut and children. * @param node node to fix * @return fixed node */ BSPTree fixNode(BSPTree node); } /** Split a BSP tree by an external sub-hyperplane. *

Split a tree in two halves, on each side of the * sub-hyperplane. The instance is not modified.

*

The tree returned is not upward-consistent: despite all of its * sub-trees cut sub-hyperplanes (including its own cut * sub-hyperplane) are bounded to the current cell, it is not * attached to any parent tree yet. This tree is intended to be * later inserted into an higher level tree.

*

The algorithm used here is the one given in Naylor, Amanatides * and Thibault paper (section III, Binary Partitioning of a BSP * Tree).

* @param sub partitioning sub-hyperplane, must be already clipped * to the convex region represented by the instance, will be used as * the cut sub-hyperplane of the returned tree * @return a tree having the specified sub-hyperplane as its cut * sub-hyperplane, the two parts of the split instance as its two * sub-trees and a null parent */ public BSPTree split(final SubHyperplane sub) { if (cut == null) { return new BSPTree(sub, copySelf(), new BSPTree(attribute), null); } final Hyperplane cHyperplane = cut.getHyperplane(); final Hyperplane sHyperplane = sub.getHyperplane(); switch (sub.side(cHyperplane)) { case PLUS : { // the partitioning sub-hyperplane is entirely in the plus sub-tree final BSPTree split = plus.split(sub); if (cut.side(sHyperplane) == Side.PLUS) { split.plus = new BSPTree(cut.copySelf(), split.plus, minus.copySelf(), attribute); split.plus.condense(); split.plus.parent = split; } else { split.minus = new BSPTree(cut.copySelf(), split.minus, minus.copySelf(), attribute); split.minus.condense(); split.minus.parent = split; } return split; } case MINUS : { // the partitioning sub-hyperplane is entirely in the minus sub-tree final BSPTree split = minus.split(sub); if (cut.side(sHyperplane) == Side.PLUS) { split.plus = new BSPTree(cut.copySelf(), plus.copySelf(), split.plus, attribute); split.plus.condense(); split.plus.parent = split; } else { split.minus = new BSPTree(cut.copySelf(), plus.copySelf(), split.minus, attribute); split.minus.condense(); split.minus.parent = split; } return split; } case BOTH : { final SubHyperplane.SplitSubHyperplane cutParts = cut.split(sHyperplane); final SubHyperplane.SplitSubHyperplane subParts = sub.split(cHyperplane); final BSPTree split = new BSPTree(sub, plus.split(subParts.getPlus()), minus.split(subParts.getMinus()), null); split.plus.cut = cutParts.getPlus(); split.minus.cut = cutParts.getMinus(); final BSPTree tmp = split.plus.minus; split.plus.minus = split.minus.plus; split.plus.minus.parent = split.plus; split.minus.plus = tmp; split.minus.plus.parent = split.minus; split.plus.condense(); split.minus.condense(); return split; } default : return cHyperplane.sameOrientationAs(sHyperplane) ? new BSPTree(sub, plus.copySelf(), minus.copySelf(), attribute) : new BSPTree(sub, minus.copySelf(), plus.copySelf(), attribute); } } /** Insert the instance into another tree. *

The instance itself is modified so its former parent should * not be used anymore.

* @param parentTree parent tree to connect to (may be null) * @param isPlusChild if true and if parentTree is not null, the * resulting tree should be the plus child of its parent, ignored if * parentTree is null * @see LeafMerger * @deprecated as of 3.4, replaced with {@link #insertInTree(BSPTree, boolean, VanishingCutHandler)} */ @Deprecated public void insertInTree(final BSPTree parentTree, final boolean isPlusChild) { insertInTree(parentTree, isPlusChild, new VanishingCutHandler() { /** {@inheritDoc} */ public BSPTree fixNode(BSPTree node) { // the cut should not be null throw new MathIllegalStateException(LocalizedFormats.NULL_NOT_ALLOWED); } }); } /** Insert the instance into another tree. *

The instance itself is modified so its former parent should * not be used anymore.

* @param parentTree parent tree to connect to (may be null) * @param isPlusChild if true and if parentTree is not null, the * resulting tree should be the plus child of its parent, ignored if * parentTree is null * @param vanishingHandler handler to use for handling very rare corner * cases of vanishing cut sub-hyperplanes in internal nodes during merging * @see LeafMerger * @since 3.4 */ public void insertInTree(final BSPTree parentTree, final boolean isPlusChild, final VanishingCutHandler vanishingHandler) { // set up parent/child links parent = parentTree; if (parentTree != null) { if (isPlusChild) { parentTree.plus = this; } else { parentTree.minus = this; } } // make sure the inserted tree lies in the cell defined by its parent nodes if (cut != null) { // explore the parent nodes from here towards tree root for (BSPTree tree = this; tree.parent != null; tree = tree.parent) { // this is an hyperplane of some parent node final Hyperplane hyperplane = tree.parent.cut.getHyperplane(); // chop off the parts of the inserted tree that extend // on the wrong side of this parent hyperplane if (tree == tree.parent.plus) { cut = cut.split(hyperplane).getPlus(); plus.chopOffMinus(hyperplane, vanishingHandler); minus.chopOffMinus(hyperplane, vanishingHandler); } else { cut = cut.split(hyperplane).getMinus(); plus.chopOffPlus(hyperplane, vanishingHandler); minus.chopOffPlus(hyperplane, vanishingHandler); } if (cut == null) { // the cut sub-hyperplane has vanished final BSPTree fixed = vanishingHandler.fixNode(this); cut = fixed.cut; plus = fixed.plus; minus = fixed.minus; attribute = fixed.attribute; } } // since we may have drop some parts of the inserted tree, // perform a condensation pass to keep the tree structure simple condense(); } } /** Prune a tree around a cell. *

* This method can be used to extract a convex cell from a tree. * The original cell may either be a leaf node or an internal node. * If it is an internal node, it's subtree will be ignored (i.e. the * extracted cell will be a leaf node in all cases). The original * tree to which the original cell belongs is not touched at all, * a new independent tree will be built. *

* @param cellAttribute attribute to set for the leaf node * corresponding to the initial instance cell * @param otherLeafsAttributes attribute to set for the other leaf * nodes * @param internalAttributes attribute to set for the internal nodes * @return a new tree (the original tree is left untouched) containing * a single branch with the cell as a leaf node, and other leaf nodes * as the remnants of the pruned branches * @since 3.3 */ public BSPTree pruneAroundConvexCell(final Object cellAttribute, final Object otherLeafsAttributes, final Object internalAttributes) { // build the current cell leaf BSPTree tree = new BSPTree(cellAttribute); // build the pruned tree bottom-up for (BSPTree current = this; current.parent != null; current = current.parent) { final SubHyperplane parentCut = current.parent.cut.copySelf(); final BSPTree sibling = new BSPTree(otherLeafsAttributes); if (current == current.parent.plus) { tree = new BSPTree(parentCut, tree, sibling, internalAttributes); } else { tree = new BSPTree(parentCut, sibling, tree, internalAttributes); } } return tree; } /** Chop off parts of the tree. *

The instance is modified in place, all the parts that are on * the minus side of the chopping hyperplane are discarded, only the * parts on the plus side remain.

* @param hyperplane chopping hyperplane * @param vanishingHandler handler to use for handling very rare corner * cases of vanishing cut sub-hyperplanes in internal nodes during merging */ private void chopOffMinus(final Hyperplane hyperplane, final VanishingCutHandler vanishingHandler) { if (cut != null) { cut = cut.split(hyperplane).getPlus(); plus.chopOffMinus(hyperplane, vanishingHandler); minus.chopOffMinus(hyperplane, vanishingHandler); if (cut == null) { // the cut sub-hyperplane has vanished final BSPTree fixed = vanishingHandler.fixNode(this); cut = fixed.cut; plus = fixed.plus; minus = fixed.minus; attribute = fixed.attribute; } } } /** Chop off parts of the tree. *

The instance is modified in place, all the parts that are on * the plus side of the chopping hyperplane are discarded, only the * parts on the minus side remain.

* @param hyperplane chopping hyperplane * @param vanishingHandler handler to use for handling very rare corner * cases of vanishing cut sub-hyperplanes in internal nodes during merging */ private void chopOffPlus(final Hyperplane hyperplane, final VanishingCutHandler vanishingHandler) { if (cut != null) { cut = cut.split(hyperplane).getMinus(); plus.chopOffPlus(hyperplane, vanishingHandler); minus.chopOffPlus(hyperplane, vanishingHandler); if (cut == null) { // the cut sub-hyperplane has vanished final BSPTree fixed = vanishingHandler.fixNode(this); cut = fixed.cut; plus = fixed.plus; minus = fixed.minus; attribute = fixed.attribute; } } } }