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+//----------------------------------------------------------------------
+// File: bd_search.cpp
+// Programmer: David Mount
+// Description: Standard bd-tree search
+// Last modified: 01/04/05 (Version 1.0)
+//----------------------------------------------------------------------
+// Copyright (c) 1997-2005 University of Maryland and Sunil Arya and
+// David Mount. All Rights Reserved.
+//
+// This software and related documentation is part of the Approximate
+// Nearest Neighbor Library (ANN). This software is provided under
+// the provisions of the Lesser GNU Public License (LGPL). See the
+// file ../ReadMe.txt for further information.
+//
+// The University of Maryland (U.M.) and the authors make no
+// representations about the suitability or fitness of this software for
+// any purpose. It is provided "as is" without express or implied
+// warranty.
+//----------------------------------------------------------------------
+// History:
+// Revision 0.1 03/04/98
+// Initial release
+//----------------------------------------------------------------------
+
+#include "bd_tree.h" // bd-tree declarations
+#include "kd_search.h" // kd-tree search declarations
+
+namespace geom_bt {
+
+//----------------------------------------------------------------------
+// Approximate searching for bd-trees.
+// See the file kd_search.cpp for general information on the
+// approximate nearest neighbor search algorithm. Here we
+// include the extensions for shrinking nodes.
+//----------------------------------------------------------------------
+
+//----------------------------------------------------------------------
+// bd_shrink::ann_search - search a shrinking node
+//----------------------------------------------------------------------
+
+void ANNbd_shrink::ann_search(ANNdist box_dist)
+{
+ // check dist calc term cond.
+ if (ANNmaxPtsVisited != 0 && ANNptsVisited > ANNmaxPtsVisited) return;
+
+ ANNdist inner_dist = 0; // distance to inner box
+ for (int i = 0; i < n_bnds; i++) { // is query point in the box?
+ if (bnds[i].out(ANNkdQ)) { // outside this bounding side?
+ // add to inner distance
+ inner_dist = (ANNdist) ANN_SUM(inner_dist, bnds[i].dist(ANNkdQ));
+ }
+ }
+ if (inner_dist <= box_dist) { // if inner box is closer
+ child[ANN_IN]->ann_search(inner_dist); // search inner child first
+ child[ANN_OUT]->ann_search(box_dist); // ...then outer child
+ }
+ else { // if outer box is closer
+ child[ANN_OUT]->ann_search(box_dist); // search outer child first
+ child[ANN_IN]->ann_search(inner_dist); // ...then outer child
+ }
+ ANN_FLOP(3*n_bnds) // increment floating ops
+ ANN_SHR(1) // one more shrinking node
+}
+}