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/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
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package org.apache.commons.math3.geometry.partitioning;

import java.util.ArrayList;
import java.util.Collection;
import java.util.Comparator;
import java.util.HashMap;
import java.util.Iterator;
import java.util.Map;
import java.util.TreeSet;

import org.apache.commons.math3.geometry.Point;
import org.apache.commons.math3.geometry.Space;
import org.apache.commons.math3.geometry.Vector;

/** Abstract class for all regions, independently of geometry type or dimension.

 * @param  Type of the space.
 * @param  Type of the sub-space.

 * @since 3.0
 */
public abstract class AbstractRegion implements Region {

    /** Inside/Outside BSP tree. */
    private BSPTree tree;

    /** Tolerance below which points are considered to belong to hyperplanes. */
    private final double tolerance;

    /** Size of the instance. */
    private double size;

    /** Barycenter. */
    private Point barycenter;

    /** Build a region representing the whole space.
     * @param tolerance tolerance below which points are considered identical.
     */
    protected AbstractRegion(final double tolerance) {
        this.tree      = new BSPTree(Boolean.TRUE);
        this.tolerance = tolerance;
    }

    /** Build a region from an inside/outside BSP tree.
     * 

The leaf nodes of the BSP tree must have a * {@code Boolean} attribute representing the inside status of * the corresponding cell (true for inside cells, false for outside * cells). In order to avoid building too many small objects, it is * recommended to use the predefined constants * {@code Boolean.TRUE} and {@code Boolean.FALSE}. The * tree also must have either null internal nodes or * internal nodes representing the boundary as specified in the * {@link #getTree getTree} method).

* @param tree inside/outside BSP tree representing the region * @param tolerance tolerance below which points are considered identical. */ protected AbstractRegion(final BSPTree tree, final double tolerance) { this.tree = tree; this.tolerance = tolerance; } /** Build a Region from a Boundary REPresentation (B-rep). *

The boundary is provided as a collection of {@link * SubHyperplane sub-hyperplanes}. Each sub-hyperplane has the * interior part of the region on its minus side and the exterior on * its plus side.

*

The boundary elements can be in any order, and can form * several non-connected sets (like for example polygons with holes * or a set of disjoints polyhedrons considered as a whole). In * fact, the elements do not even need to be connected together * (their topological connections are not used here). However, if the * boundary does not really separate an inside open from an outside * open (open having here its topological meaning), then subsequent * calls to the {@link #checkPoint(Point) checkPoint} method will not be * meaningful anymore.

*

If the boundary is empty, the region will represent the whole * space.

* @param boundary collection of boundary elements, as a * collection of {@link SubHyperplane SubHyperplane} objects * @param tolerance tolerance below which points are considered identical. */ protected AbstractRegion(final Collection> boundary, final double tolerance) { this.tolerance = tolerance; if (boundary.size() == 0) { // the tree represents the whole space tree = new BSPTree(Boolean.TRUE); } else { // sort the boundary elements in decreasing size order // (we don't want equal size elements to be removed, so // we use a trick to fool the TreeSet) final TreeSet> ordered = new TreeSet>(new Comparator>() { /** {@inheritDoc} */ public int compare(final SubHyperplane o1, final SubHyperplane o2) { final double size1 = o1.getSize(); final double size2 = o2.getSize(); return (size2 < size1) ? -1 : ((o1 == o2) ? 0 : +1); } }); ordered.addAll(boundary); // build the tree top-down tree = new BSPTree(); insertCuts(tree, ordered); // set up the inside/outside flags tree.visit(new BSPTreeVisitor() { /** {@inheritDoc} */ public Order visitOrder(final BSPTree node) { return Order.PLUS_SUB_MINUS; } /** {@inheritDoc} */ public void visitInternalNode(final BSPTree node) { } /** {@inheritDoc} */ public void visitLeafNode(final BSPTree node) { if (node.getParent() == null || node == node.getParent().getMinus()) { node.setAttribute(Boolean.TRUE); } else { node.setAttribute(Boolean.FALSE); } } }); } } /** Build a convex region from an array of bounding hyperplanes. * @param hyperplanes array of bounding hyperplanes (if null, an * empty region will be built) * @param tolerance tolerance below which points are considered identical. */ public AbstractRegion(final Hyperplane[] hyperplanes, final double tolerance) { this.tolerance = tolerance; if ((hyperplanes == null) || (hyperplanes.length == 0)) { tree = new BSPTree(Boolean.FALSE); } else { // use the first hyperplane to build the right class tree = hyperplanes[0].wholeSpace().getTree(false); // chop off parts of the space BSPTree node = tree; node.setAttribute(Boolean.TRUE); for (final Hyperplane hyperplane : hyperplanes) { if (node.insertCut(hyperplane)) { node.setAttribute(null); node.getPlus().setAttribute(Boolean.FALSE); node = node.getMinus(); node.setAttribute(Boolean.TRUE); } } } } /** {@inheritDoc} */ public abstract AbstractRegion buildNew(BSPTree newTree); /** Get the tolerance below which points are considered to belong to hyperplanes. * @return tolerance below which points are considered to belong to hyperplanes */ public double getTolerance() { return tolerance; } /** Recursively build a tree by inserting cut sub-hyperplanes. * @param node current tree node (it is a leaf node at the beginning * of the call) * @param boundary collection of edges belonging to the cell defined * by the node */ private void insertCuts(final BSPTree node, final Collection> boundary) { final Iterator> iterator = boundary.iterator(); // build the current level Hyperplane inserted = null; while ((inserted == null) && iterator.hasNext()) { inserted = iterator.next().getHyperplane(); if (!node.insertCut(inserted.copySelf())) { inserted = null; } } if (!iterator.hasNext()) { return; } // distribute the remaining edges in the two sub-trees final ArrayList> plusList = new ArrayList>(); final ArrayList> minusList = new ArrayList>(); while (iterator.hasNext()) { final SubHyperplane other = iterator.next(); final SubHyperplane.SplitSubHyperplane split = other.split(inserted); switch (split.getSide()) { case PLUS: plusList.add(other); break; case MINUS: minusList.add(other); break; case BOTH: plusList.add(split.getPlus()); minusList.add(split.getMinus()); break; default: // ignore the sub-hyperplanes belonging to the cut hyperplane } } // recurse through lower levels insertCuts(node.getPlus(), plusList); insertCuts(node.getMinus(), minusList); } /** {@inheritDoc} */ public AbstractRegion copySelf() { return buildNew(tree.copySelf()); } /** {@inheritDoc} */ public boolean isEmpty() { return isEmpty(tree); } /** {@inheritDoc} */ public boolean isEmpty(final BSPTree node) { // we use a recursive function rather than the BSPTreeVisitor // interface because we can stop visiting the tree as soon as we // have found an inside cell if (node.getCut() == null) { // if we find an inside node, the region is not empty return !((Boolean) node.getAttribute()); } // check both sides of the sub-tree return isEmpty(node.getMinus()) && isEmpty(node.getPlus()); } /** {@inheritDoc} */ public boolean isFull() { return isFull(tree); } /** {@inheritDoc} */ public boolean isFull(final BSPTree node) { // we use a recursive function rather than the BSPTreeVisitor // interface because we can stop visiting the tree as soon as we // have found an outside cell if (node.getCut() == null) { // if we find an outside node, the region does not cover full space return (Boolean) node.getAttribute(); } // check both sides of the sub-tree return isFull(node.getMinus()) && isFull(node.getPlus()); } /** {@inheritDoc} */ public boolean contains(final Region region) { return new RegionFactory().difference(region, this).isEmpty(); } /** {@inheritDoc} * @since 3.3 */ public BoundaryProjection projectToBoundary(final Point point) { final BoundaryProjector projector = new BoundaryProjector(point); getTree(true).visit(projector); return projector.getProjection(); } /** Check a point with respect to the region. * @param point point to check * @return a code representing the point status: either {@link * Region.Location#INSIDE}, {@link Region.Location#OUTSIDE} or * {@link Region.Location#BOUNDARY} */ public Location checkPoint(final Vector point) { return checkPoint((Point) point); } /** {@inheritDoc} */ public Location checkPoint(final Point point) { return checkPoint(tree, point); } /** Check a point with respect to the region starting at a given node. * @param node root node of the region * @param point point to check * @return a code representing the point status: either {@link * Region.Location#INSIDE INSIDE}, {@link Region.Location#OUTSIDE * OUTSIDE} or {@link Region.Location#BOUNDARY BOUNDARY} */ protected Location checkPoint(final BSPTree node, final Vector point) { return checkPoint(node, (Point) point); } /** Check a point with respect to the region starting at a given node. * @param node root node of the region * @param point point to check * @return a code representing the point status: either {@link * Region.Location#INSIDE INSIDE}, {@link Region.Location#OUTSIDE * OUTSIDE} or {@link Region.Location#BOUNDARY BOUNDARY} */ protected Location checkPoint(final BSPTree node, final Point point) { final BSPTree cell = node.getCell(point, tolerance); if (cell.getCut() == null) { // the point is in the interior of a cell, just check the attribute return ((Boolean) cell.getAttribute()) ? Location.INSIDE : Location.OUTSIDE; } // the point is on a cut-sub-hyperplane, is it on a boundary ? final Location minusCode = checkPoint(cell.getMinus(), point); final Location plusCode = checkPoint(cell.getPlus(), point); return (minusCode == plusCode) ? minusCode : Location.BOUNDARY; } /** {@inheritDoc} */ public BSPTree getTree(final boolean includeBoundaryAttributes) { if (includeBoundaryAttributes && (tree.getCut() != null) && (tree.getAttribute() == null)) { // compute the boundary attributes tree.visit(new BoundaryBuilder()); } return tree; } /** {@inheritDoc} */ public double getBoundarySize() { final BoundarySizeVisitor visitor = new BoundarySizeVisitor(); getTree(true).visit(visitor); return visitor.getSize(); } /** {@inheritDoc} */ public double getSize() { if (barycenter == null) { computeGeometricalProperties(); } return size; } /** Set the size of the instance. * @param size size of the instance */ protected void setSize(final double size) { this.size = size; } /** {@inheritDoc} */ public Point getBarycenter() { if (barycenter == null) { computeGeometricalProperties(); } return barycenter; } /** Set the barycenter of the instance. * @param barycenter barycenter of the instance */ protected void setBarycenter(final Vector barycenter) { setBarycenter((Point) barycenter); } /** Set the barycenter of the instance. * @param barycenter barycenter of the instance */ protected void setBarycenter(final Point barycenter) { this.barycenter = barycenter; } /** Compute some geometrical properties. *

The properties to compute are the barycenter and the size.

*/ protected abstract void computeGeometricalProperties(); /** {@inheritDoc} */ @Deprecated public Side side(final Hyperplane hyperplane) { final InsideFinder finder = new InsideFinder(this); finder.recurseSides(tree, hyperplane.wholeHyperplane()); return finder.plusFound() ? (finder.minusFound() ? Side.BOTH : Side.PLUS) : (finder.minusFound() ? Side.MINUS : Side.HYPER); } /** {@inheritDoc} */ public SubHyperplane intersection(final SubHyperplane sub) { return recurseIntersection(tree, sub); } /** Recursively compute the parts of a sub-hyperplane that are * contained in the region. * @param node current BSP tree node * @param sub sub-hyperplane traversing the region * @return filtered sub-hyperplane */ private SubHyperplane recurseIntersection(final BSPTree node, final SubHyperplane sub) { if (node.getCut() == null) { return (Boolean) node.getAttribute() ? sub.copySelf() : null; } final Hyperplane hyperplane = node.getCut().getHyperplane(); final SubHyperplane.SplitSubHyperplane split = sub.split(hyperplane); if (split.getPlus() != null) { if (split.getMinus() != null) { // both sides final SubHyperplane plus = recurseIntersection(node.getPlus(), split.getPlus()); final SubHyperplane minus = recurseIntersection(node.getMinus(), split.getMinus()); if (plus == null) { return minus; } else if (minus == null) { return plus; } else { return plus.reunite(minus); } } else { // only on plus side return recurseIntersection(node.getPlus(), sub); } } else if (split.getMinus() != null) { // only on minus side return recurseIntersection(node.getMinus(), sub); } else { // on hyperplane return recurseIntersection(node.getPlus(), recurseIntersection(node.getMinus(), sub)); } } /** Transform a region. *

Applying a transform to a region consist in applying the * transform to all the hyperplanes of the underlying BSP tree and * of the boundary (and also to the sub-hyperplanes embedded in * these hyperplanes) and to the barycenter. The instance is not * modified, a new instance is built.

* @param transform transform to apply * @return a new region, resulting from the application of the * transform to the instance */ public AbstractRegion applyTransform(final Transform transform) { // transform the tree, except for boundary attribute splitters final Map, BSPTree> map = new HashMap, BSPTree>(); final BSPTree transformedTree = recurseTransform(getTree(false), transform, map); // set up the boundary attributes splitters for (final Map.Entry, BSPTree> entry : map.entrySet()) { if (entry.getKey().getCut() != null) { @SuppressWarnings("unchecked") BoundaryAttribute original = (BoundaryAttribute) entry.getKey().getAttribute(); if (original != null) { @SuppressWarnings("unchecked") BoundaryAttribute transformed = (BoundaryAttribute) entry.getValue().getAttribute(); for (final BSPTree splitter : original.getSplitters()) { transformed.getSplitters().add(map.get(splitter)); } } } } return buildNew(transformedTree); } /** Recursively transform an inside/outside BSP-tree. * @param node current BSP tree node * @param transform transform to apply * @param map transformed nodes map * @return a new tree */ @SuppressWarnings("unchecked") private BSPTree recurseTransform(final BSPTree node, final Transform transform, final Map, BSPTree> map) { final BSPTree transformedNode; if (node.getCut() == null) { transformedNode = new BSPTree(node.getAttribute()); } else { final SubHyperplane sub = node.getCut(); final SubHyperplane tSub = ((AbstractSubHyperplane) sub).applyTransform(transform); BoundaryAttribute attribute = (BoundaryAttribute) node.getAttribute(); if (attribute != null) { final SubHyperplane tPO = (attribute.getPlusOutside() == null) ? null : ((AbstractSubHyperplane) attribute.getPlusOutside()).applyTransform(transform); final SubHyperplane tPI = (attribute.getPlusInside() == null) ? null : ((AbstractSubHyperplane) attribute.getPlusInside()).applyTransform(transform); // we start with an empty list of splitters, it will be filled in out of recursion attribute = new BoundaryAttribute(tPO, tPI, new NodesSet()); } transformedNode = new BSPTree(tSub, recurseTransform(node.getPlus(), transform, map), recurseTransform(node.getMinus(), transform, map), attribute); } map.put(node, transformedNode); return transformedNode; } }