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The Apache Commons Math project is a library of lightweight, self-contained mathematics and statistics components addressing the most common practical problems not immediately available in the Java programming language or commons-lang.

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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
 * limitations under the License.
 */
package org.apache.commons.math3.geometry.partitioning;

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

/** Utility class checking if inside nodes can be found
 * on the plus and minus sides of an hyperplane.
 * @param  Type of the space.
 * @since 3.4
 */
class InsideFinder {

    /** Region on which to operate. */
    private final Region region;

    /** Indicator of inside leaf nodes found on the plus side. */
    private boolean plusFound;

    /** Indicator of inside leaf nodes found on the plus side. */
    private boolean minusFound;

    /** Simple constructor.
     * @param region region on which to operate
     */
    public InsideFinder(final Region region) {
        this.region = region;
        plusFound  = false;
        minusFound = false;
    }

    /** Search recursively for inside leaf nodes on each side of the given hyperplane.

     * 

The algorithm used here is directly derived from the one * described in section III (Binary Partitioning of a BSP * Tree) of the 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 node current BSP tree node * @param sub sub-hyperplane */ public void recurseSides(final BSPTree node, final SubHyperplane sub) { if (node.getCut() == null) { if ((Boolean) node.getAttribute()) { // this is an inside cell expanding across the hyperplane plusFound = true; minusFound = true; } return; } final Hyperplane hyperplane = node.getCut().getHyperplane(); switch (sub.side(hyperplane)) { case PLUS : // the sub-hyperplane is entirely in the plus sub-tree if (node.getCut().side(sub.getHyperplane()) == Side.PLUS) { if (!region.isEmpty(node.getMinus())) { plusFound = true; } } else { if (!region.isEmpty(node.getMinus())) { minusFound = true; } } if (!(plusFound && minusFound)) { recurseSides(node.getPlus(), sub); } break; case MINUS : // the sub-hyperplane is entirely in the minus sub-tree if (node.getCut().side(sub.getHyperplane()) == Side.PLUS) { if (!region.isEmpty(node.getPlus())) { plusFound = true; } } else { if (!region.isEmpty(node.getPlus())) { minusFound = true; } } if (!(plusFound && minusFound)) { recurseSides(node.getMinus(), sub); } break; case BOTH : // the sub-hyperplane extends in both sub-trees final SubHyperplane.SplitSubHyperplane split = sub.split(hyperplane); // explore first the plus sub-tree recurseSides(node.getPlus(), split.getPlus()); // if needed, explore the minus sub-tree if (!(plusFound && minusFound)) { recurseSides(node.getMinus(), split.getMinus()); } break; default : // the sub-hyperplane and the cut sub-hyperplane share the same hyperplane if (node.getCut().getHyperplane().sameOrientationAs(sub.getHyperplane())) { if ((node.getPlus().getCut() != null) || ((Boolean) node.getPlus().getAttribute())) { plusFound = true; } if ((node.getMinus().getCut() != null) || ((Boolean) node.getMinus().getAttribute())) { minusFound = true; } } else { if ((node.getPlus().getCut() != null) || ((Boolean) node.getPlus().getAttribute())) { minusFound = true; } if ((node.getMinus().getCut() != null) || ((Boolean) node.getMinus().getAttribute())) { plusFound = true; } } } } /** Check if inside leaf nodes have been found on the plus side. * @return true if inside leaf nodes have been found on the plus side */ public boolean plusFound() { return plusFound; } /** Check if inside leaf nodes have been found on the minus side. * @return true if inside leaf nodes have been found on the minus side */ public boolean minusFound() { return minusFound; } }