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+//----------------------------------------------------------------------
+// File: pr_queue_k.h
+// Programmer: Sunil Arya and David Mount
+// Description: Include file for priority queue with k items.
+// 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
+//----------------------------------------------------------------------
+
+#ifndef PR_QUEUE_K_H
+#define PR_QUEUE_K_H
+
+#include <ANN/ANNx.h> // all ANN includes
+#include <ANN/ANNperf.h> // performance evaluation
+
+namespace geom_bt {
+//----------------------------------------------------------------------
+// Basic types
+//----------------------------------------------------------------------
+typedef ANNdist PQKkey; // key field is distance
+typedef int PQKinfo; // info field is int
+
+//----------------------------------------------------------------------
+// Constants
+// The NULL key value is used to initialize the priority queue, and
+// so it should be larger than any valid distance, so that it will
+// be replaced as legal distance values are inserted. The NULL
+// info value must be a nonvalid array index, we use ANN_NULL_IDX,
+// which is guaranteed to be negative.
+//----------------------------------------------------------------------
+
+const PQKkey PQ_NULL_KEY = ANN_DIST_INF; // nonexistent key value
+const PQKinfo PQ_NULL_INFO = ANN_NULL_IDX; // nonexistent info value
+
+//----------------------------------------------------------------------
+// ANNmin_k
+// An ANNmin_k structure is one which maintains the smallest
+// k values (of type PQKkey) and associated information (of type
+// PQKinfo). The special info and key values PQ_NULL_INFO and
+// PQ_NULL_KEY means that thise entry is empty.
+//
+// It is currently implemented using an array with k items.
+// Items are stored in increasing sorted order, and insertions
+// are made through standard insertion sort. (This is quite
+// inefficient, but current applications call for small values
+// of k and relatively few insertions.)
+//
+// Note that the list contains k+1 entries, but the last entry
+// is used as a simple placeholder and is otherwise ignored.
+//----------------------------------------------------------------------
+
+class ANNmin_k {
+ struct mk_node { // node in min_k structure
+ PQKkey key; // key value
+ PQKinfo info; // info field (user defined)
+ };
+
+ int k; // max number of keys to store
+ int n; // number of keys currently active
+ mk_node *mk; // the list itself
+
+public:
+ ANNmin_k(int max) // constructor (given max size)
+ {
+ n = 0; // initially no items
+ k = max; // maximum number of items
+ mk = new mk_node[max+1]; // sorted array of keys
+ }
+
+ ~ANNmin_k() // destructor
+ { delete [] mk; }
+
+ PQKkey ANNmin_key() // return minimum key
+ { return (n > 0 ? mk[0].key : PQ_NULL_KEY); }
+
+ PQKkey max_key() // return maximum key
+ { return (n == k ? mk[k-1].key : PQ_NULL_KEY); }
+
+ PQKkey ith_smallest_key(int i) // ith smallest key (i in [0..n-1])
+ { return (i < n ? mk[i].key : PQ_NULL_KEY); }
+
+ PQKinfo ith_smallest_info(int i) // info for ith smallest (i in [0..n-1])
+ { return (i < n ? mk[i].info : PQ_NULL_INFO); }
+
+ inline void insert( // insert item (inlined for speed)
+ PQKkey kv, // key value
+ PQKinfo inf) // item info
+ {
+ register int i;
+ // slide larger values up
+ for (i = n; i > 0; i--) {
+ if (mk[i-1].key > kv)
+ mk[i] = mk[i-1];
+ else
+ break;
+ }
+ mk[i].key = kv; // store element here
+ mk[i].info = inf;
+ if (n < k) n++; // increment number of items
+ ANN_FLOP(k-i+1) // increment floating ops
+ }
+};
+
+}
+#endif