[37] | 1 | //---------------------------------------------------------------------- |
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| 2 | // File: kd_dump.cc |
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| 3 | // Programmer: David Mount |
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| 4 | // Description: Dump and Load for kd- and bd-trees |
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| 5 | // Last modified: 01/04/05 (Version 1.0) |
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| 6 | //---------------------------------------------------------------------- |
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| 7 | // Copyright (c) 1997-2005 University of Maryland and Sunil Arya and |
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| 8 | // David Mount. All Rights Reserved. |
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| 9 | // |
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| 10 | // This software and related documentation is part of the Approximate |
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| 11 | // Nearest Neighbor Library (ANN). This software is provided under |
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| 12 | // the provisions of the Lesser GNU Public License (LGPL). See the |
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| 13 | // file ../ReadMe.txt for further information. |
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| 14 | // |
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| 15 | // The University of Maryland (U.M.) and the authors make no |
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| 16 | // representations about the suitability or fitness of this software for |
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| 17 | // any purpose. It is provided "as is" without express or implied |
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| 18 | // warranty. |
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| 19 | //---------------------------------------------------------------------- |
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| 20 | // History: |
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| 21 | // Revision 0.1 03/04/98 |
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| 22 | // Initial release |
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| 23 | // Revision 1.0 04/01/05 |
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| 24 | // Moved dump out of kd_tree.cc into this file. |
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| 25 | // Added kd-tree load constructor. |
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| 26 | //---------------------------------------------------------------------- |
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| 27 | // This file contains routines for dumping kd-trees and bd-trees and |
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| 28 | // reloading them. (It is an abuse of policy to include both kd- and |
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| 29 | // bd-tree routines in the same file, sorry. There should be no problem |
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| 30 | // in deleting the bd- versions of the routines if they are not |
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| 31 | // desired.) |
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| 32 | //---------------------------------------------------------------------- |
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| 33 | |
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| 34 | #include "kd_tree.h" // kd-tree declarations |
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| 35 | #include "bd_tree.h" // bd-tree declarations |
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| 36 | |
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| 37 | using namespace std; // make std:: available |
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| 38 | |
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| 39 | //---------------------------------------------------------------------- |
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| 40 | // Constants |
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| 41 | //---------------------------------------------------------------------- |
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| 42 | |
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| 43 | const int STRING_LEN = 500; // maximum string length |
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| 44 | const double EPSILON = 1E-5; // small number for float comparison |
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| 45 | |
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| 46 | enum ANNtreeType {KD_TREE, BD_TREE}; // tree types (used in loading) |
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| 47 | |
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| 48 | //---------------------------------------------------------------------- |
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| 49 | // Procedure declarations |
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| 50 | //---------------------------------------------------------------------- |
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| 51 | |
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| 52 | static ANNkd_ptr annReadDump( // read dump file |
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| 53 | istream &in, // input stream |
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| 54 | ANNtreeType tree_type, // type of tree expected |
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| 55 | ANNpointArray &the_pts, // new points (if applic) |
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| 56 | ANNidxArray &the_pidx, // point indices (returned) |
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| 57 | int &the_dim, // dimension (returned) |
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| 58 | int &the_n_pts, // number of points (returned) |
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| 59 | int &the_bkt_size, // bucket size (returned) |
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| 60 | ANNpoint &the_bnd_box_lo, // low bounding point |
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| 61 | ANNpoint &the_bnd_box_hi); // high bounding point |
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| 62 | |
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| 63 | static ANNkd_ptr annReadTree( // read tree-part of dump file |
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| 64 | istream &in, // input stream |
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| 65 | ANNtreeType tree_type, // type of tree expected |
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| 66 | ANNidxArray the_pidx, // point indices (modified) |
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| 67 | int &next_idx); // next index (modified) |
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| 68 | |
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| 69 | //---------------------------------------------------------------------- |
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| 70 | // ANN kd- and bd-tree Dump Format |
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| 71 | // The dump file begins with a header containing the version of |
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| 72 | // ANN, an optional section containing the points, followed by |
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| 73 | // a description of the tree. The tree is printed in preorder. |
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| 74 | // |
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| 75 | // Format: |
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| 76 | // #ANN <version number> <comments> [END_OF_LINE] |
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| 77 | // points <dim> <n_pts> (point coordinates: this is optional) |
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| 78 | // 0 <xxx> <xxx> ... <xxx> (point indices and coordinates) |
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| 79 | // 1 <xxx> <xxx> ... <xxx> |
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| 80 | // ... |
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| 81 | // tree <dim> <n_pts> <bkt_size> |
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| 82 | // <xxx> <xxx> ... <xxx> (lower end of bounding box) |
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| 83 | // <xxx> <xxx> ... <xxx> (upper end of bounding box) |
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| 84 | // If the tree is null, then a single line "null" is |
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| 85 | // output. Otherwise the nodes of the tree are printed |
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| 86 | // one per line in preorder. Leaves and splitting nodes |
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| 87 | // have the following formats: |
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| 88 | // Leaf node: |
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| 89 | // leaf <n_pts> <bkt[0]> <bkt[1]> ... <bkt[n-1]> |
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| 90 | // Splitting nodes: |
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| 91 | // split <cut_dim> <cut_val> <lo_bound> <hi_bound> |
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| 92 | // |
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| 93 | // For bd-trees: |
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| 94 | // |
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| 95 | // Shrinking nodes: |
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| 96 | // shrink <n_bnds> |
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| 97 | // <cut_dim> <cut_val> <side> |
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| 98 | // <cut_dim> <cut_val> <side> |
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| 99 | // ... (repeated n_bnds times) |
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| 100 | //---------------------------------------------------------------------- |
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| 101 | |
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| 102 | void ANNkd_tree::Dump( // dump entire tree |
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| 103 | ANNbool with_pts, // print points as well? |
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| 104 | ostream &out) // output stream |
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| 105 | { |
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| 106 | out << "#ANN " << ANNversion << "\n"; |
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| 107 | out.precision(ANNcoordPrec); // use full precision in dumping |
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| 108 | if (with_pts) { // print point coordinates |
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| 109 | out << "points " << dim << " " << n_pts << "\n"; |
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| 110 | for (int i = 0; i < n_pts; i++) { |
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| 111 | out << i << " "; |
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| 112 | annPrintPt(pts[i], dim, out); |
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| 113 | out << "\n"; |
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| 114 | } |
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| 115 | } |
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| 116 | out << "tree " // print tree elements |
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| 117 | << dim << " " |
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| 118 | << n_pts << " " |
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| 119 | << bkt_size << "\n"; |
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| 120 | |
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| 121 | annPrintPt(bnd_box_lo, dim, out); // print lower bound |
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| 122 | out << "\n"; |
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| 123 | annPrintPt(bnd_box_hi, dim, out); // print upper bound |
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| 124 | out << "\n"; |
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| 125 | |
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| 126 | if (root == NULL) // empty tree? |
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| 127 | out << "null\n"; |
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| 128 | else { |
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| 129 | root->dump(out); // invoke printing at root |
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| 130 | } |
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| 131 | out.precision(0); // restore default precision |
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| 132 | } |
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| 133 | |
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| 134 | void ANNkd_split::dump( // dump a splitting node |
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| 135 | ostream &out) // output stream |
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| 136 | { |
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| 137 | out << "split " << cut_dim << " " << cut_val << " "; |
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| 138 | out << cd_bnds[ANN_LO] << " " << cd_bnds[ANN_HI] << "\n"; |
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| 139 | |
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| 140 | child[ANN_LO]->dump(out); // print low child |
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| 141 | child[ANN_HI]->dump(out); // print high child |
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| 142 | } |
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| 143 | |
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| 144 | void ANNkd_leaf::dump( // dump a leaf node |
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| 145 | ostream &out) // output stream |
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| 146 | { |
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| 147 | if (this == KD_TRIVIAL) { // canonical trivial leaf node |
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| 148 | out << "leaf 0\n"; // leaf no points |
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| 149 | } |
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| 150 | else{ |
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| 151 | out << "leaf " << n_pts; |
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| 152 | for (int j = 0; j < n_pts; j++) { |
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| 153 | out << " " << bkt[j]; |
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| 154 | } |
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| 155 | out << "\n"; |
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| 156 | } |
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| 157 | } |
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| 158 | |
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| 159 | void ANNbd_shrink::dump( // dump a shrinking node |
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| 160 | ostream &out) // output stream |
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| 161 | { |
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| 162 | out << "shrink " << n_bnds << "\n"; |
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| 163 | for (int j = 0; j < n_bnds; j++) { |
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| 164 | out << bnds[j].cd << " " << bnds[j].cv << " " << bnds[j].sd << "\n"; |
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| 165 | } |
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| 166 | child[ANN_IN]->dump(out); // print in-child |
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| 167 | child[ANN_OUT]->dump(out); // print out-child |
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| 168 | } |
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| 169 | |
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| 170 | //---------------------------------------------------------------------- |
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| 171 | // Load kd-tree from dump file |
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| 172 | // This rebuilds a kd-tree which was dumped to a file. The dump |
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| 173 | // file contains all the basic tree information according to a |
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| 174 | // preorder traversal. We assume that the dump file also contains |
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| 175 | // point data. (This is to guarantee the consistency of the tree.) |
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| 176 | // If not, then an error is generated. |
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| 177 | // |
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| 178 | // Indirectly, this procedure allocates space for points, point |
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| 179 | // indices, all nodes in the tree, and the bounding box for the |
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| 180 | // tree. When the tree is destroyed, all but the points are |
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| 181 | // deallocated. |
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| 182 | // |
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| 183 | // This routine calls annReadDump to do all the work. |
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| 184 | //---------------------------------------------------------------------- |
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| 185 | |
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| 186 | ANNkd_tree::ANNkd_tree( // build from dump file |
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| 187 | istream &in) // input stream for dump file |
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| 188 | { |
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| 189 | int the_dim; // local dimension |
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| 190 | int the_n_pts; // local number of points |
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| 191 | int the_bkt_size; // local number of points |
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| 192 | ANNpoint the_bnd_box_lo; // low bounding point |
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| 193 | ANNpoint the_bnd_box_hi; // high bounding point |
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| 194 | ANNpointArray the_pts; // point storage |
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| 195 | ANNidxArray the_pidx; // point index storage |
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| 196 | ANNkd_ptr the_root; // root of the tree |
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| 197 | |
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| 198 | the_root = annReadDump( // read the dump file |
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| 199 | in, // input stream |
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| 200 | KD_TREE, // expecting a kd-tree |
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| 201 | the_pts, // point array (returned) |
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| 202 | the_pidx, // point indices (returned) |
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| 203 | the_dim, the_n_pts, the_bkt_size, // basic tree info (returned) |
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| 204 | the_bnd_box_lo, the_bnd_box_hi); // bounding box info (returned) |
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| 205 | |
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| 206 | // create a skeletal tree |
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| 207 | SkeletonTree(the_n_pts, the_dim, the_bkt_size, the_pts, the_pidx); |
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| 208 | |
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| 209 | bnd_box_lo = the_bnd_box_lo; |
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| 210 | bnd_box_hi = the_bnd_box_hi; |
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| 211 | |
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| 212 | root = the_root; // set the root |
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| 213 | } |
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| 214 | |
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| 215 | ANNbd_tree::ANNbd_tree( // build bd-tree from dump file |
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| 216 | istream &in) : ANNkd_tree() // input stream for dump file |
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| 217 | { |
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| 218 | int the_dim; // local dimension |
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| 219 | int the_n_pts; // local number of points |
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| 220 | int the_bkt_size; // local number of points |
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| 221 | ANNpoint the_bnd_box_lo; // low bounding point |
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| 222 | ANNpoint the_bnd_box_hi; // high bounding point |
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| 223 | ANNpointArray the_pts; // point storage |
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| 224 | ANNidxArray the_pidx; // point index storage |
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| 225 | ANNkd_ptr the_root; // root of the tree |
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| 226 | |
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| 227 | the_root = annReadDump( // read the dump file |
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| 228 | in, // input stream |
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| 229 | BD_TREE, // expecting a bd-tree |
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| 230 | the_pts, // point array (returned) |
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| 231 | the_pidx, // point indices (returned) |
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| 232 | the_dim, the_n_pts, the_bkt_size, // basic tree info (returned) |
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| 233 | the_bnd_box_lo, the_bnd_box_hi); // bounding box info (returned) |
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| 234 | |
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| 235 | // create a skeletal tree |
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| 236 | SkeletonTree(the_n_pts, the_dim, the_bkt_size, the_pts, the_pidx); |
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| 237 | bnd_box_lo = the_bnd_box_lo; |
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| 238 | bnd_box_hi = the_bnd_box_hi; |
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| 239 | |
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| 240 | root = the_root; // set the root |
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| 241 | } |
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| 242 | |
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| 243 | //---------------------------------------------------------------------- |
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| 244 | // annReadDump - read a dump file |
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| 245 | // |
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| 246 | // This procedure reads a dump file, constructs a kd-tree |
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| 247 | // and returns all the essential information needed to actually |
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| 248 | // construct the tree. Because this procedure is used for |
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| 249 | // constructing both kd-trees and bd-trees, the second argument |
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| 250 | // is used to indicate which type of tree we are expecting. |
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| 251 | //---------------------------------------------------------------------- |
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| 252 | |
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| 253 | static ANNkd_ptr annReadDump( |
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| 254 | istream &in, // input stream |
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| 255 | ANNtreeType tree_type, // type of tree expected |
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| 256 | ANNpointArray &the_pts, // new points (returned) |
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| 257 | ANNidxArray &the_pidx, // point indices (returned) |
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| 258 | int &the_dim, // dimension (returned) |
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| 259 | int &the_n_pts, // number of points (returned) |
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| 260 | int &the_bkt_size, // bucket size (returned) |
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| 261 | ANNpoint &the_bnd_box_lo, // low bounding point (ret'd) |
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| 262 | ANNpoint &the_bnd_box_hi) // high bounding point (ret'd) |
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| 263 | { |
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| 264 | int j; |
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| 265 | char str[STRING_LEN]; // storage for string |
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| 266 | char version[STRING_LEN]; // ANN version number |
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| 267 | ANNkd_ptr the_root = NULL; |
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| 268 | |
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| 269 | //------------------------------------------------------------------ |
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| 270 | // Input file header |
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| 271 | //------------------------------------------------------------------ |
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| 272 | in >> str; // input header |
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| 273 | if (strcmp(str, "#ANN") != 0) { // incorrect header |
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| 274 | annError("Incorrect header for dump file", ANNabort); |
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| 275 | } |
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| 276 | in.getline(version, STRING_LEN); // get version (ignore) |
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| 277 | |
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| 278 | //------------------------------------------------------------------ |
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| 279 | // Input the points |
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| 280 | // An array the_pts is allocated and points are read from |
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| 281 | // the dump file. |
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| 282 | //------------------------------------------------------------------ |
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| 283 | in >> str; // get major heading |
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| 284 | if (strcmp(str, "points") == 0) { // points section |
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| 285 | in >> the_dim; // input dimension |
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| 286 | in >> the_n_pts; // number of points |
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| 287 | // allocate point storage |
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| 288 | the_pts = annAllocPts(the_n_pts, the_dim); |
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| 289 | for (int i = 0; i < the_n_pts; i++) { // input point coordinates |
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| 290 | ANNidx idx; // point index |
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| 291 | in >> idx; // input point index |
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| 292 | if (idx < 0 || idx >= the_n_pts) { |
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| 293 | annError("Point index is out of range", ANNabort); |
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| 294 | } |
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| 295 | for (j = 0; j < the_dim; j++) { |
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| 296 | in >> the_pts[idx][j]; // read point coordinates |
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| 297 | } |
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| 298 | } |
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| 299 | in >> str; // get next major heading |
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| 300 | } |
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| 301 | else { // no points were input |
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| 302 | annError("Points must be supplied in the dump file", ANNabort); |
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| 303 | } |
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| 304 | |
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| 305 | //------------------------------------------------------------------ |
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| 306 | // Input the tree |
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| 307 | // After the basic header information, we invoke annReadTree |
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| 308 | // to do all the heavy work. We create our own array of |
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| 309 | // point indices (so we can pass them to annReadTree()) |
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| 310 | // but we do not deallocate them. They will be deallocated |
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| 311 | // when the tree is destroyed. |
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| 312 | //------------------------------------------------------------------ |
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| 313 | if (strcmp(str, "tree") == 0) { // tree section |
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| 314 | in >> the_dim; // read dimension |
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| 315 | in >> the_n_pts; // number of points |
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| 316 | in >> the_bkt_size; // bucket size |
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| 317 | the_bnd_box_lo = annAllocPt(the_dim); // allocate bounding box pts |
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| 318 | the_bnd_box_hi = annAllocPt(the_dim); |
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| 319 | |
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| 320 | for (j = 0; j < the_dim; j++) { // read bounding box low |
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| 321 | in >> the_bnd_box_lo[j]; |
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| 322 | } |
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| 323 | for (j = 0; j < the_dim; j++) { // read bounding box low |
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| 324 | in >> the_bnd_box_hi[j]; |
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| 325 | } |
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| 326 | the_pidx = new ANNidx[the_n_pts]; // allocate point index array |
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| 327 | int next_idx = 0; // number of indices filled |
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| 328 | // read the tree and indices |
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| 329 | the_root = annReadTree(in, tree_type, the_pidx, next_idx); |
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| 330 | if (next_idx != the_n_pts) { // didn't see all the points? |
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| 331 | annError("Didn't see as many points as expected", ANNwarn); |
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| 332 | } |
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| 333 | } |
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| 334 | else { |
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| 335 | annError("Illegal dump format. Expecting section heading", ANNabort); |
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| 336 | } |
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| 337 | return the_root; |
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| 338 | } |
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| 339 | |
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| 340 | //---------------------------------------------------------------------- |
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| 341 | // annReadTree - input tree and return pointer |
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| 342 | // |
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| 343 | // annReadTree reads in a node of the tree, makes any recursive |
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| 344 | // calls as needed to input the children of this node (if internal). |
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| 345 | // It returns a pointer to the node that was created. An array |
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| 346 | // of point indices is given along with a pointer to the next |
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| 347 | // available location in the array. As leaves are read, their |
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| 348 | // point indices are stored here, and the point buckets point |
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| 349 | // to the first entry in the array. |
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| 350 | // |
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| 351 | // Recall that these are the formats. The tree is given in |
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| 352 | // preorder. |
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| 353 | // |
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| 354 | // Leaf node: |
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| 355 | // leaf <n_pts> <bkt[0]> <bkt[1]> ... <bkt[n-1]> |
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| 356 | // Splitting nodes: |
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| 357 | // split <cut_dim> <cut_val> <lo_bound> <hi_bound> |
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| 358 | // |
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| 359 | // For bd-trees: |
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| 360 | // |
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| 361 | // Shrinking nodes: |
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| 362 | // shrink <n_bnds> |
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| 363 | // <cut_dim> <cut_val> <side> |
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| 364 | // <cut_dim> <cut_val> <side> |
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| 365 | // ... (repeated n_bnds times) |
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| 366 | //---------------------------------------------------------------------- |
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| 367 | |
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| 368 | static ANNkd_ptr annReadTree( |
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| 369 | istream &in, // input stream |
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| 370 | ANNtreeType tree_type, // type of tree expected |
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| 371 | ANNidxArray the_pidx, // point indices (modified) |
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| 372 | int &next_idx) // next index (modified) |
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| 373 | { |
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| 374 | char tag[STRING_LEN]; // tag (leaf, split, shrink) |
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| 375 | int n_pts; // number of points in leaf |
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| 376 | int cd; // cut dimension |
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| 377 | ANNcoord cv; // cut value |
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| 378 | ANNcoord lb; // low bound |
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| 379 | ANNcoord hb; // high bound |
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| 380 | int n_bnds; // number of bounding sides |
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| 381 | int sd; // which side |
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| 382 | |
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| 383 | in >> tag; // input node tag |
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| 384 | |
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| 385 | if (strcmp(tag, "null") == 0) { // null tree |
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| 386 | return NULL; |
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| 387 | } |
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| 388 | //------------------------------------------------------------------ |
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| 389 | // Read a leaf |
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| 390 | //------------------------------------------------------------------ |
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| 391 | if (strcmp(tag, "leaf") == 0) { // leaf node |
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| 392 | |
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| 393 | in >> n_pts; // input number of points |
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| 394 | int old_idx = next_idx; // save next_idx |
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| 395 | if (n_pts == 0) { // trivial leaf |
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| 396 | return KD_TRIVIAL; |
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| 397 | } |
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| 398 | else { |
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| 399 | for (int i = 0; i < n_pts; i++) { // input point indices |
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| 400 | in >> the_pidx[next_idx++]; // store in array of indices |
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| 401 | } |
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| 402 | } |
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| 403 | return new ANNkd_leaf(n_pts, &the_pidx[old_idx]); |
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| 404 | } |
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| 405 | //------------------------------------------------------------------ |
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| 406 | // Read a splitting node |
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| 407 | //------------------------------------------------------------------ |
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| 408 | else if (strcmp(tag, "split") == 0) { // splitting node |
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| 409 | |
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| 410 | in >> cd >> cv >> lb >> hb; |
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| 411 | |
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| 412 | // read low and high subtrees |
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| 413 | ANNkd_ptr lc = annReadTree(in, tree_type, the_pidx, next_idx); |
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| 414 | ANNkd_ptr hc = annReadTree(in, tree_type, the_pidx, next_idx); |
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| 415 | // create new node and return |
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| 416 | return new ANNkd_split(cd, cv, lb, hb, lc, hc); |
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| 417 | } |
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| 418 | //------------------------------------------------------------------ |
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| 419 | // Read a shrinking node (bd-tree only) |
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| 420 | //------------------------------------------------------------------ |
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| 421 | else if (strcmp(tag, "shrink") == 0) { // shrinking node |
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| 422 | if (tree_type != BD_TREE) { |
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| 423 | annError("Shrinking node not allowed in kd-tree", ANNabort); |
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| 424 | } |
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| 425 | |
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| 426 | in >> n_bnds; // number of bounding sides |
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| 427 | // allocate bounds array |
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| 428 | ANNorthHSArray bds = new ANNorthHalfSpace[n_bnds]; |
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| 429 | for (int i = 0; i < n_bnds; i++) { |
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| 430 | in >> cd >> cv >> sd; // input bounding halfspace |
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| 431 | // copy to array |
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| 432 | bds[i] = ANNorthHalfSpace(cd, cv, sd); |
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| 433 | } |
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| 434 | // read inner and outer subtrees |
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| 435 | ANNkd_ptr ic = annReadTree(in, tree_type, the_pidx, next_idx); |
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| 436 | ANNkd_ptr oc = annReadTree(in, tree_type, the_pidx, next_idx); |
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| 437 | // create new node and return |
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| 438 | return new ANNbd_shrink(n_bnds, bds, ic, oc); |
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| 439 | } |
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| 440 | else { |
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| 441 | annError("Illegal node type in dump file", ANNabort); |
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| 442 | exit(0); // to keep the compiler happy |
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| 443 | } |
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| 444 | } |
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