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thoney (Antal Nemes)
thoneyvazul@gmail.com
Port max. card. search alg. from svn -r3512 (#397) and (#56)
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/* -*- C++ -*-
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 *
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 * This file is a part of LEMON, a generic C++ optimization library
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 *
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 * Copyright (C) 2003-2010
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 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
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 * (Egervary Research Group on Combinatorial Optimization, EGRES).
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 *
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 * Permission to use, modify and distribute this software is granted
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 * provided that this copyright notice appears in all copies. For
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 * precise terms see the accompanying LICENSE file.
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 *
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 * This software is provided "AS IS" with no warranty of any kind,
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 * express or implied, and with no claim as to its suitability for any
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 * purpose.
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 *
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 */
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#ifndef LEMON_MAX_CARDINALITY_SEARCH_H
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#define LEMON_MAX_CARDINALITY_SEARCH_H
21

	
22

	
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/// \ingroup search
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/// \file 
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/// \brief Maximum cardinality search in undirected digraphs.
26

	
27
#include <lemon/bin_heap.h>
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#include <lemon/bucket_heap.h>
29

	
30
#include <lemon/error.h>
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#include <lemon/maps.h>
32

	
33
#include <functional>
34

	
35
namespace lemon {
36

	
37
  /// \brief Default traits class of MaxCardinalitySearch class.
38
  ///
39
  /// Default traits class of MaxCardinalitySearch class.
40
  /// \param Digraph Digraph type.
41
  /// \param CapacityMap Type of capacity map.
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  template <typename GR, typename CAP>
43
  struct MaxCardinalitySearchDefaultTraits {
44
    /// The digraph type the algorithm runs on. 
45
    typedef GR Digraph;
46

	
47
    template <typename CM>
48
    struct CapMapSelector {
49

	
50
      typedef CM CapacityMap;
51

	
52
      static CapacityMap *createCapacityMap(const Digraph& g) {
53
	return new CapacityMap(g);
54
      }
55
    };
56

	
57
    template <typename CM>
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    struct CapMapSelector<ConstMap<CM, Const<int, 1> > > {
59

	
60
      typedef ConstMap<CM, Const<int, 1> > CapacityMap;
61

	
62
      static CapacityMap *createCapacityMap(const Digraph&) {
63
	return new CapacityMap;
64
      }
65
    };
66

	
67
    /// \brief The type of the map that stores the arc capacities.
68
    ///
69
    /// The type of the map that stores the arc capacities.
70
    /// It must meet the \ref concepts::ReadMap "ReadMap" concept.
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    typedef typename CapMapSelector<CAP>::CapacityMap CapacityMap;
72

	
73
    /// \brief The type of the capacity of the arcs.
74
    typedef typename CapacityMap::Value Value;
75

	
76
    /// \brief Instantiates a CapacityMap.
77
    ///
78
    /// This function instantiates a \ref CapacityMap.
79
    /// \param digraph is the digraph, to which we would like to define
80
    /// the CapacityMap.
81
    static CapacityMap *createCapacityMap(const Digraph& digraph) {
82
      return CapMapSelector<CapacityMap>::createCapacityMap(digraph);
83
    }
84

	
85
    /// \brief The cross reference type used by heap.
86
    ///
87
    /// The cross reference type used by heap.
88
    /// Usually it is \c Digraph::NodeMap<int>.
89
    typedef typename Digraph::template NodeMap<int> HeapCrossRef;
90

	
91
    /// \brief Instantiates a HeapCrossRef.
92
    ///
93
    /// This function instantiates a \ref HeapCrossRef. 
94
    /// \param digraph is the digraph, to which we would like to define the 
95
    /// HeapCrossRef.
96
    static HeapCrossRef *createHeapCrossRef(const Digraph &digraph) {
97
      return new HeapCrossRef(digraph);
98
    }
99
    
100
    template <typename CapacityMap>
101
    struct HeapSelector {
102
      template <typename Value, typename Ref>
103
      struct Selector { 
104
        typedef BinHeap<Value, Ref, std::greater<Value> > Heap;
105
      };
106
    };
107

	
108
    template <typename CapacityKey>
109
    struct HeapSelector<ConstMap<CapacityKey, Const<int, 1> > > {
110
      template <typename Value, typename Ref>
111
      struct Selector {
112
        typedef BucketHeap<Ref, false > Heap;
113
      };
114
    };
115

	
116
    /// \brief The heap type used by MaxCardinalitySearch algorithm.
117
    ///
118
    /// The heap type used by MaxCardinalitySearch algorithm. It should
119
    /// maximalize the priorities. The default heap type is
120
    /// the \ref BinHeap, but it is specialized when the
121
    /// CapacityMap is ConstMap<Digraph::Node, Const<int, 1> >
122
    /// to BucketHeap.
123
    ///
124
    /// \sa MaxCardinalitySearch
125
    typedef typename HeapSelector<CapacityMap>
126
    ::template Selector<Value, HeapCrossRef>
127
    ::Heap Heap;
128

	
129
    /// \brief Instantiates a Heap.
130
    ///
131
    /// This function instantiates a \ref Heap. 
132
    /// \param crossref The cross reference of the heap.
133
    static Heap *createHeap(HeapCrossRef& crossref) {
134
      return new Heap(crossref);
135
    }
136

	
137
    /// \brief The type of the map that stores whether a node is processed.
138
    ///
139
    /// The type of the map that stores whether a node is processed.
140
    /// It must meet the \ref concepts::WriteMap "WriteMap" concept.
141
    /// By default it is a NullMap.
142
    typedef NullMap<typename Digraph::Node, bool> ProcessedMap;
143

	
144
    /// \brief Instantiates a ProcessedMap.
145
    ///
146
    /// This function instantiates a \ref ProcessedMap. 
147
    /// \param digraph is the digraph, to which
148
    /// we would like to define the \ref ProcessedMap
149
#ifdef DOXYGEN
150
    static ProcessedMap *createProcessedMap(const Digraph &digraph)
151
#else
152
    static ProcessedMap *createProcessedMap(const Digraph &)
153
#endif
154
    {
155
      return new ProcessedMap();
156
    }
157

	
158
    /// \brief The type of the map that stores the cardinalities of the nodes.
159
    /// 
160
    /// The type of the map that stores the cardinalities of the nodes.
161
    /// It must meet the \ref concepts::WriteMap "WriteMap" concept.
162
    typedef typename Digraph::template NodeMap<Value> CardinalityMap;
163

	
164
    /// \brief Instantiates a CardinalityMap.
165
    ///
166
    /// This function instantiates a \ref CardinalityMap. 
167
    /// \param digraph is the digraph, to which we would like to define the \ref 
168
    /// CardinalityMap
169
    static CardinalityMap *createCardinalityMap(const Digraph &digraph) {
170
      return new CardinalityMap(digraph);
171
    }
172

	
173

	
174
  };
175
  
176
  /// \ingroup search
177
  ///
178
  /// \brief Maximum Cardinality Search algorithm class.
179
  ///
180
  /// This class provides an efficient implementation of Maximum Cardinality 
181
  /// Search algorithm. The maximum cardinality search first chooses any 
182
  /// node of the digraph. Then every time it chooses one unprocessed node
183
  /// with maximum cardinality, i.e the sum of capacities on out arcs to the nodes
184
  /// which were previusly processed.
185
  /// If there is a cut in the digraph the algorithm should choose
186
  /// again any unprocessed node of the digraph.
187

	
188
  /// The arc capacities are passed to the algorithm using a
189
  /// \ref concepts::ReadMap "ReadMap", so it is easy to change it to any 
190
  /// kind of capacity.
191
  ///
192
  /// The type of the capacity is determined by the \ref 
193
  /// concepts::ReadMap::Value "Value" of the capacity map.
194
  ///
195
  /// It is also possible to change the underlying priority heap.
196
  ///
197
  ///
198
  /// \param GR The digraph type the algorithm runs on. The value of
199
  /// Digraph is not used directly by the search algorithm, it 
200
  /// is only passed to \ref MaxCardinalitySearchDefaultTraits.
201
  /// \param CAP This read-only ArcMap determines the capacities of 
202
  /// the arcs. It is read once for each arc, so the map may involve in
203
  /// relatively time consuming process to compute the arc capacity if
204
  /// it is necessary. The default map type is \ref
205
  /// ConstMap "ConstMap<concepts::Digraph::Arc, Const<int,1> >". The value
206
  /// of CapacityMap is not used directly by search algorithm, it is only 
207
  /// passed to \ref MaxCardinalitySearchDefaultTraits.  
208
  /// \param TR Traits class to set various data types used by the 
209
  /// algorithm.  The default traits class is 
210
  /// \ref MaxCardinalitySearchDefaultTraits 
211
  /// "MaxCardinalitySearchDefaultTraits<GR, CAP>".  
212
  /// See \ref MaxCardinalitySearchDefaultTraits 
213
  /// for the documentation of a MaxCardinalitySearch traits class.
214

	
215
#ifdef DOXYGEN
216
  template <typename GR, typename CAP, typename TR>
217
#else
218
  template <typename GR, typename CAP = 
219
	    ConstMap<typename GR::Arc, Const<int,1> >,
220
	    typename TR = 
221
            MaxCardinalitySearchDefaultTraits<GR, CAP> >
222
#endif
223
  class MaxCardinalitySearch {
224
  public:
225

	
226
    typedef TR Traits;
227
    ///The type of the underlying digraph.
228
    typedef typename Traits::Digraph Digraph;
229
    
230
    ///The type of the capacity of the arcs.
231
    typedef typename Traits::CapacityMap::Value Value;
232
    ///The type of the map that stores the arc capacities.
233
    typedef typename Traits::CapacityMap CapacityMap;
234
    ///The type of the map indicating if a node is processed.
235
    typedef typename Traits::ProcessedMap ProcessedMap;
236
    ///The type of the map that stores the cardinalities of the nodes.
237
    typedef typename Traits::CardinalityMap CardinalityMap;
238
    ///The cross reference type used for the current heap.
239
    typedef typename Traits::HeapCrossRef HeapCrossRef;
240
    ///The heap type used by the algorithm. It maximizes the priorities.
241
    typedef typename Traits::Heap Heap;
242
  private:
243
    // Pointer to the underlying digraph.
244
    const Digraph *_graph;
245
    // Pointer to the capacity map
246
    const CapacityMap *_capacity;
247
    // Indicates if \ref _capacity is locally allocated (\c true) or not.
248
    bool local_capacity;
249
    // Pointer to the map of cardinality.
250
    CardinalityMap *_cardinality;
251
    // Indicates if \ref _cardinality is locally allocated (\c true) or not.
252
    bool local_cardinality;
253
    // Pointer to the map of processed status of the nodes.
254
    ProcessedMap *_processed;
255
    // Indicates if \ref _processed is locally allocated (\c true) or not.
256
    bool local_processed;
257
    // Pointer to the heap cross references.
258
    HeapCrossRef *_heap_cross_ref;
259
    // Indicates if \ref _heap_cross_ref is locally allocated (\c true) or not.
260
    bool local_heap_cross_ref;
261
    // Pointer to the heap.
262
    Heap *_heap;
263
    // Indicates if \ref _heap is locally allocated (\c true) or not.
264
    bool local_heap;
265

	
266
  public :
267

	
268
    typedef MaxCardinalitySearch Create;
269
 
270
    ///\name Named template parameters
271

	
272
    ///@{
273

	
274
    template <class T>
275
    struct DefCapacityMapTraits : public Traits {
276
      typedef T CapacityMap;
277
      static CapacityMap *createCapacityMap(const Digraph &) {
278
       	LEMON_ASSERT(false,"Uninitialized parameter.");
279
	return 0;
280
      }
281
    };
282
    /// \brief \ref named-templ-param "Named parameter" for setting 
283
    /// CapacityMap type
284
    ///
285
    /// \ref named-templ-param "Named parameter" for setting CapacityMap type
286
    /// for the algorithm.
287
    template <class T>
288
    struct SetCapacityMap 
289
      : public MaxCardinalitySearch<Digraph, CapacityMap, 
290
                                    DefCapacityMapTraits<T> > { 
291
      typedef MaxCardinalitySearch<Digraph, CapacityMap, 
292
                                   DefCapacityMapTraits<T> > Create;
293
    };
294

	
295
    template <class T>
296
    struct DefCardinalityMapTraits : public Traits {
297
      typedef T CardinalityMap;
298
      static CardinalityMap *createCardinalityMap(const Digraph &) 
299
      {
300
	LEMON_ASSERT(false,"Uninitialized parameter.");
301
	return 0;
302
      }
303
    };
304
    /// \brief \ref named-templ-param "Named parameter" for setting 
305
    /// CardinalityMap type
306
    ///
307
    /// \ref named-templ-param "Named parameter" for setting CardinalityMap 
308
    /// type for the algorithm.
309
    template <class T>
310
    struct SetCardinalityMap 
311
      : public MaxCardinalitySearch<Digraph, CapacityMap, 
312
                                    DefCardinalityMapTraits<T> > { 
313
      typedef MaxCardinalitySearch<Digraph, CapacityMap, 
314
                                   DefCardinalityMapTraits<T> > Create;
315
    };
316
    
317
    template <class T>
318
    struct DefProcessedMapTraits : public Traits {
319
      typedef T ProcessedMap;
320
      static ProcessedMap *createProcessedMap(const Digraph &) {
321
       	LEMON_ASSERT(false,"Uninitialized parameter.");
322
	return 0;
323
      }
324
    };
325
    /// \brief \ref named-templ-param "Named parameter" for setting 
326
    /// ProcessedMap type
327
    ///
328
    /// \ref named-templ-param "Named parameter" for setting ProcessedMap type
329
    /// for the algorithm.
330
    template <class T>
331
    struct SetProcessedMap 
332
      : public MaxCardinalitySearch<Digraph, CapacityMap, 
333
                                    DefProcessedMapTraits<T> > { 
334
      typedef MaxCardinalitySearch<Digraph, CapacityMap, 
335
                                   DefProcessedMapTraits<T> > Create;
336
    };
337
    
338
    template <class H, class CR>
339
    struct DefHeapTraits : public Traits {
340
      typedef CR HeapCrossRef;
341
      typedef H Heap;
342
      static HeapCrossRef *createHeapCrossRef(const Digraph &) {
343
     	LEMON_ASSERT(false,"Uninitialized parameter.");
344
	return 0;
345
      }
346
      static Heap *createHeap(HeapCrossRef &) {
347
       	LEMON_ASSERT(false,"Uninitialized parameter.");
348
	return 0;
349
      }
350
    };
351
    /// \brief \ref named-templ-param "Named parameter" for setting heap 
352
    /// and cross reference type
353
    ///
354
    /// \ref named-templ-param "Named parameter" for setting heap and cross 
355
    /// reference type for the algorithm.
356
    template <class H, class CR = typename Digraph::template NodeMap<int> >
357
    struct SetHeap
358
      : public MaxCardinalitySearch<Digraph, CapacityMap, 
359
                                    DefHeapTraits<H, CR> > { 
360
      typedef MaxCardinalitySearch< Digraph, CapacityMap, 
361
                                    DefHeapTraits<H, CR> > Create;
362
    };
363

	
364
    template <class H, class CR>
365
    struct DefStandardHeapTraits : public Traits {
366
      typedef CR HeapCrossRef;
367
      typedef H Heap;
368
      static HeapCrossRef *createHeapCrossRef(const Digraph &digraph) {
369
	return new HeapCrossRef(digraph);
370
      }
371
      static Heap *createHeap(HeapCrossRef &crossref) {
372
	return new Heap(crossref);
373
      }
374
    };
375

	
376
    /// \brief \ref named-templ-param "Named parameter" for setting heap and 
377
    /// cross reference type with automatic allocation
378
    ///
379
    /// \ref named-templ-param "Named parameter" for setting heap and cross 
380
    /// reference type. It can allocate the heap and the cross reference 
381
    /// object if the cross reference's constructor waits for the digraph as 
382
    /// parameter and the heap's constructor waits for the cross reference.
383
    template <class H, class CR = typename Digraph::template NodeMap<int> >
384
    struct SetStandardHeap
385
      : public MaxCardinalitySearch<Digraph, CapacityMap, 
386
                                    DefStandardHeapTraits<H, CR> > { 
387
      typedef MaxCardinalitySearch<Digraph, CapacityMap, 
388
                                   DefStandardHeapTraits<H, CR> > 
389
      Create;
390
    };
391
    
392
    ///@}
393

	
394

	
395
  protected:
396

	
397
    MaxCardinalitySearch() {}
398

	
399
  public:      
400
    
401
    /// \brief Constructor.
402
    ///
403
    ///\param digraph the digraph the algorithm will run on.
404
    ///\param capacity the capacity map used by the algorithm.
405
    ///When no capacity map given, a constant 1 capacity map will
406
    ///be allocated.
407
#ifdef DOXYGEN
408
    MaxCardinalitySearch(const Digraph& digraph,
409
			 const CapacityMap& capacity=0 ) :
410
#else
411
    MaxCardinalitySearch(const Digraph& digraph,
412
			 const CapacityMap& capacity=*static_cast<const CapacityMap*>(0) ) :
413
#endif
414
      _graph(&digraph),
415
      _capacity(&capacity), local_capacity(false),
416
      _cardinality(0), local_cardinality(false),
417
      _processed(0), local_processed(false),
418
      _heap_cross_ref(0), local_heap_cross_ref(false),
419
      _heap(0), local_heap(false)
420
    { }
421

	
422
    /// \brief Destructor.
423
    ~MaxCardinalitySearch() {
424
      if(local_capacity) delete _capacity;
425
      if(local_cardinality) delete _cardinality;
426
      if(local_processed) delete _processed;
427
      if(local_heap_cross_ref) delete _heap_cross_ref;
428
      if(local_heap) delete _heap;
429
    }
430

	
431
    /// \brief Sets the capacity map.
432
    ///
433
    /// Sets the capacity map.
434
    /// \return <tt> (*this) </tt>
435
    MaxCardinalitySearch &capacityMap(const CapacityMap &m) {
436
      if (local_capacity) {
437
	delete _capacity;
438
	local_capacity=false;
439
      }
440
      _capacity=&m;
441
      return *this;
442
    }
443

	
444
    /// \brief Returns a const reference to the capacity map.
445
    ///
446
    /// Returns a const reference to the capacity map used by
447
    /// the algorithm.
448
    const CapacityMap &capacityMap() const {
449
      return *_capacity;
450
    }
451

	
452
    /// \brief Sets the map storing the cardinalities calculated by the 
453
    /// algorithm.
454
    ///
455
    /// Sets the map storing the cardinalities calculated by the algorithm.
456
    /// If you don't use this function before calling \ref run(),
457
    /// it will allocate one. The destuctor deallocates this
458
    /// automatically allocated map, of course.
459
    /// \return <tt> (*this) </tt>
460
    MaxCardinalitySearch &cardinalityMap(CardinalityMap &m) {
461
      if(local_cardinality) {
462
	delete _cardinality;
463
	local_cardinality=false;
464
      }
465
      _cardinality = &m;
466
      return *this;
467
    }
468

	
469
    /// \brief Sets the map storing the processed nodes.
470
    ///
471
    /// Sets the map storing the processed nodes.
472
    /// If you don't use this function before calling \ref run(),
473
    /// it will allocate one. The destuctor deallocates this
474
    /// automatically allocated map, of course.
475
    /// \return <tt> (*this) </tt>
476
    MaxCardinalitySearch &processedMap(ProcessedMap &m) 
477
    {
478
      if(local_processed) {
479
	delete _processed;
480
	local_processed=false;
481
      }
482
      _processed = &m;
483
      return *this;
484
    }
485

	
486
    /// \brief Returns a const reference to the cardinality map.
487
    ///
488
    /// Returns a const reference to the cardinality map used by
489
    /// the algorithm.
490
    const ProcessedMap &processedMap() const {
491
      return *_processed;
492
    }
493

	
494
    /// \brief Sets the heap and the cross reference used by algorithm.
495
    ///
496
    /// Sets the heap and the cross reference used by algorithm.
497
    /// If you don't use this function before calling \ref run(),
498
    /// it will allocate one. The destuctor deallocates this
499
    /// automatically allocated map, of course.
500
    /// \return <tt> (*this) </tt>
501
    MaxCardinalitySearch &heap(Heap& hp, HeapCrossRef &cr) {
502
      if(local_heap_cross_ref) {
503
	delete _heap_cross_ref;
504
	local_heap_cross_ref = false;
505
      }
506
      _heap_cross_ref = &cr;
507
      if(local_heap) {
508
	delete _heap;
509
	local_heap = false;
510
      }
511
      _heap = &hp;
512
      return *this;
513
    }
514

	
515
    /// \brief Returns a const reference to the heap.
516
    ///
517
    /// Returns a const reference to the heap used by
518
    /// the algorithm.
519
    const Heap &heap() const {
520
      return *_heap;
521
    }
522

	
523
    /// \brief Returns a const reference to the cross reference.
524
    ///
525
    /// Returns a const reference to the cross reference
526
    /// of the heap.
527
    const HeapCrossRef &heapCrossRef() const {
528
      return *_heap_cross_ref;
529
    }
530

	
531
  private:
532

	
533
    typedef typename Digraph::Node Node;
534
    typedef typename Digraph::NodeIt NodeIt;
535
    typedef typename Digraph::Arc Arc;
536
    typedef typename Digraph::InArcIt InArcIt;
537

	
538
    void create_maps() {
539
      if(!_capacity) {
540
	local_capacity = true;
541
	_capacity = Traits::createCapacityMap(*_graph);
542
      }
543
      if(!_cardinality) {
544
	local_cardinality = true;
545
	_cardinality = Traits::createCardinalityMap(*_graph);
546
      }
547
      if(!_processed) {
548
	local_processed = true;
549
	_processed = Traits::createProcessedMap(*_graph);
550
      }
551
      if (!_heap_cross_ref) {
552
	local_heap_cross_ref = true;
553
	_heap_cross_ref = Traits::createHeapCrossRef(*_graph);
554
      }
555
      if (!_heap) {
556
	local_heap = true;
557
	_heap = Traits::createHeap(*_heap_cross_ref);
558
      }
559
    }
560
    
561
    void finalizeNodeData(Node node, Value capacity) {
562
      _processed->set(node, true);
563
      _cardinality->set(node, capacity);
564
    }
565

	
566
  public:
567
    /// \name Execution control
568
    /// The simplest way to execute the algorithm is to use
569
    /// one of the member functions called \ref run().
570
    /// \n
571
    /// If you need more control on the execution,
572
    /// first you must call \ref init(), then you can add several source nodes
573
    /// with \ref addSource().
574
    /// Finally \ref start() will perform the computation.
575

	
576
    ///@{
577

	
578
    /// \brief Initializes the internal data structures.
579
    ///
580
    /// Initializes the internal data structures, and clears the heap.
581
    void init() {
582
      create_maps();
583
      _heap->clear();
584
      for (NodeIt it(*_graph) ; it != INVALID ; ++it) {
585
	_processed->set(it, false);
586
	_heap_cross_ref->set(it, Heap::PRE_HEAP);
587
      }
588
    }
589
    
590
    /// \brief Adds a new source node.
591
    /// 
592
    /// Adds a new source node to the priority heap.
593
    ///
594
    /// It checks if the node has not yet been added to the heap.
595
    void addSource(Node source, Value capacity = 0) {
596
      if(_heap->state(source) == Heap::PRE_HEAP) {
597
	_heap->push(source, capacity);
598
      } 
599
    }
600
    
601
    /// \brief Processes the next node in the priority heap
602
    ///
603
    /// Processes the next node in the priority heap.
604
    ///
605
    /// \return The processed node.
606
    ///
607
    /// \warning The priority heap must not be empty!
608
    Node processNextNode() {
609
      Node node = _heap->top(); 
610
      finalizeNodeData(node, _heap->prio());
611
      _heap->pop();
612
      
613
      for (InArcIt it(*_graph, node); it != INVALID; ++it) {
614
	Node source = _graph->source(it);
615
	switch (_heap->state(source)) {
616
	case Heap::PRE_HEAP:
617
	  _heap->push(source, (*_capacity)[it]);
618
	  break;
619
	case Heap::IN_HEAP:
620
	  _heap->decrease(source, (*_heap)[source] + (*_capacity)[it]);
621
	  break;
622
	case Heap::POST_HEAP:
623
	  break;
624
	}
625
      }
626
      return node;
627
    }
628

	
629
    /// \brief Next node to be processed.
630
    ///
631
    /// Next node to be processed.
632
    ///
633
    /// \return The next node to be processed or INVALID if the 
634
    /// priority heap is empty.
635
    Node nextNode() { 
636
      return !_heap->empty() ? _heap->top() : INVALID;
637
    }
638
 
639
    /// \brief Returns \c false if there are nodes
640
    /// to be processed in the priority heap
641
    ///
642
    /// Returns \c false if there are nodes
643
    /// to be processed in the priority heap
644
    bool emptyQueue() { return _heap->empty(); }
645
    /// \brief Returns the number of the nodes to be processed 
646
    /// in the priority heap
647
    ///
648
    /// Returns the number of the nodes to be processed in the priority heap
649
    int emptySize() { return _heap->size(); }
650
    
651
    /// \brief Executes the algorithm.
652
    ///
653
    /// Executes the algorithm.
654
    ///
655
    ///\pre init() must be called and at least one node should be added
656
    /// with addSource() before using this function.
657
    ///
658
    /// This method runs the Maximum Cardinality Search algorithm from the 
659
    /// source node(s).
660
    void start() {
661
      while ( !_heap->empty() ) processNextNode();
662
    }
663
    
664
    /// \brief Executes the algorithm until \c dest is reached.
665
    ///
666
    /// Executes the algorithm until \c dest is reached.
667
    ///
668
    /// \pre init() must be called and at least one node should be added
669
    /// with addSource() before using this function.
670
    ///
671
    /// This method runs the %MaxCardinalitySearch algorithm from the source 
672
    /// nodes.
673
    void start(Node dest) {
674
      while ( !_heap->empty() && _heap->top()!=dest ) processNextNode();
675
      if ( !_heap->empty() ) finalizeNodeData(_heap->top(), _heap->prio());
676
    }
677
    
678
    /// \brief Executes the algorithm until a condition is met.
679
    ///
680
    /// Executes the algorithm until a condition is met.
681
    ///
682
    /// \pre init() must be called and at least one node should be added
683
    /// with addSource() before using this function.
684
    ///
685
    /// \param nm must be a bool (or convertible) node map. The algorithm
686
    /// will stop when it reaches a node \c v with <tt>nm[v]==true</tt>.
687
    template <typename NodeBoolMap>
688
    void start(const NodeBoolMap &nm) {
689
      while ( !_heap->empty() && !nm[_heap->top()] ) processNextNode();
690
      if ( !_heap->empty() ) finalizeNodeData(_heap->top(),_heap->prio());
691
    }
692
    
693
    /// \brief Runs the maximum cardinality search algorithm from node \c s.
694
    ///
695
    /// This method runs the %MaxCardinalitySearch algorithm from a root 
696
    /// node \c s.
697
    ///
698
    ///\note d.run(s) is just a shortcut of the following code.
699
    ///\code
700
    ///  d.init();
701
    ///  d.addSource(s);
702
    ///  d.start();
703
    ///\endcode
704
    void run(Node s) {
705
      init();
706
      addSource(s);
707
      start();
708
    }
709

	
710
    /// \brief Runs the maximum cardinality search algorithm for the 
711
    /// whole digraph.
712
    ///
713
    /// This method runs the %MaxCardinalitySearch algorithm from all 
714
    /// unprocessed node of the digraph.
715
    ///
716
    ///\note d.run(s) is just a shortcut of the following code.
717
    ///\code
718
    ///  d.init();
719
    ///  for (NodeIt it(digraph); it != INVALID; ++it) {
720
    ///    if (!d.reached(it)) {
721
    ///      d.addSource(s);
722
    ///      d.start();
723
    ///    }
724
    ///  }
725
    ///\endcode
726
    void run() {
727
      init();
728
      for (NodeIt it(*_graph); it != INVALID; ++it) {
729
        if (!reached(it)) {
730
          addSource(it);
731
          start();
732
        }
733
      }
734
    }
735
    
736
    ///@}
737

	
738
    /// \name Query Functions
739
    /// The results of the maximum cardinality search algorithm can be 
740
    /// obtained using these functions.
741
    /// \n
742
    /// Before the use of these functions, either run() or start() must be 
743
    /// called.
744
    
745
    ///@{
746

	
747
    /// \brief The cardinality of a node.
748
    ///
749
    /// Returns the cardinality of a node.
750
    /// \pre \ref run() must be called before using this function.
751
    /// \warning If node \c v in unreachable from the root the return value
752
    /// of this funcion is undefined.
753
    Value cardinality(Node node) const { return (*_cardinality)[node]; }
754

	
755
    /// \brief The current cardinality of a node.
756
    ///
757
    /// Returns the current cardinality of a node.
758
    /// \pre the given node should be reached but not processed
759
    Value currentCardinality(Node node) const { return (*_heap)[node]; }
760

	
761
    /// \brief Returns a reference to the NodeMap of cardinalities.
762
    ///
763
    /// Returns a reference to the NodeMap of cardinalities. \pre \ref run() 
764
    /// must be called before using this function.
765
    const CardinalityMap &cardinalityMap() const { return *_cardinality;}
766
 
767
    /// \brief Checks if a node is reachable from the root.
768
    ///
769
    /// Returns \c true if \c v is reachable from the root.
770
    /// \warning The source nodes are initated as unreached.
771
    /// \pre \ref run() must be called before using this function.
772
    bool reached(Node v) { return (*_heap_cross_ref)[v] != Heap::PRE_HEAP; }
773

	
774
    /// \brief Checks if a node is processed.
775
    ///
776
    /// Returns \c true if \c v is processed, i.e. the shortest
777
    /// path to \c v has already found.
778
    /// \pre \ref run() must be called before using this function.
779
    bool processed(Node v) { return (*_heap_cross_ref)[v] == Heap::POST_HEAP; }
780
    
781
    ///@}
782
  };
783

	
784
}
785

	
786
#endif
1
/* -*- mode: C++; indent-tabs-mode: nil; -*-
2
 *
3
 * This file is a part of LEMON, a generic C++ optimization library.
4
 *
5
 * Copyright (C) 2003-2010
6
 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
7
 * (Egervary Research Group on Combinatorial Optimization, EGRES).
8
 *
9
 * Permission to use, modify and distribute this software is granted
10
 * provided that this copyright notice appears in all copies. For
11
 * precise terms see the accompanying LICENSE file.
12
 *
13
 * This software is provided "AS IS" with no warranty of any kind,
14
 * express or implied, and with no claim as to its suitability for any
15
 * purpose.
16
 *
17
 */
18

	
19
#include <iostream>
20

	
21
#include "test_tools.h"
22
#include <lemon/smart_graph.h>
23
#include <lemon/max_cardinality_search.h>
24
#include <lemon/concepts/digraph.h>
25
#include <lemon/concepts/maps.h>
26
#include <lemon/concepts/heap.h>
27
#include <lemon/lgf_reader.h>
28

	
29
using namespace lemon;
30
using namespace std;
31

	
32
char test_lgf[] =
33
  "@nodes\n"
34
  "label\n"
35
  "0\n"
36
  "1\n"
37
  "2\n"
38
  "3\n"
39
  "@arcs\n"
40
  "    label capacity\n"
41
  "0 1 0     2\n"
42
  "1 0 1     2\n"
43
  "2 1 2     1\n"
44
  "2 3 3     3\n"
45
  "3 2 4     3\n"
46
  "3 1 5     5\n"
47
  "@attributes\n"
48
  "s 0\n"
49
  "x 1\n"
50
  "y 2\n"
51
  "z 3\n";
52

	
53
void checkMaxCardSearchCompile() {
54

	
55
  typedef concepts::Digraph Digraph;
56
  typedef int Value;
57
  typedef Digraph::Node Node;
58
  typedef Digraph::Arc Arc;
59
  typedef concepts::ReadMap<Arc,Value> CapMap;
60
  typedef concepts::ReadWriteMap<Node,Value> CardMap;
61
  typedef concepts::ReadWriteMap<Node,bool> ProcMap;
62
  typedef Digraph::NodeMap<int> HeapCrossRef;
63

	
64
  Digraph g;
65
  Node n,s;
66
  CapMap cap;
67
  CardMap card;
68
  ProcMap proc;
69
  HeapCrossRef crossref(g);
70
  
71
  typedef MaxCardinalitySearch<Digraph,CapMap>
72
    ::SetCapacityMap<CapMap>
73
    ::SetCardinalityMap<CardMap>
74
    ::SetProcessedMap<ProcMap>
75
    ::SetStandardHeap<BinHeap<Value,HeapCrossRef> >
76
    ::Create MaxCardType;
77

	
78
  MaxCardType maxcard(g,cap);
79
  const MaxCardType& const_maxcard = maxcard;
80

	
81
  const MaxCardType::Heap& heap_const = const_maxcard.heap();
82
  MaxCardType::Heap& heap = const_cast<MaxCardType::Heap&>(heap_const);
83
  maxcard.heap(heap,crossref);
84
  
85
  maxcard.capacityMap(cap).cardinalityMap(card).processedMap(proc);
86

	
87
  maxcard.init();
88
  maxcard.addSource(s);
89
  n = maxcard.nextNode();
90
   maxcard.processNextNode();
91
   maxcard.start();
92
   maxcard.run(s);
93
   maxcard.run();
94
 }
95

	
96
 void checkWithIntMap( std::istringstream& input)
97
 {
98
   typedef SmartDigraph Digraph;
99
   typedef Digraph::Node Node;
100
   typedef Digraph::ArcMap<int> CapMap;
101

	
102
   Digraph g;
103
   Node s,x,y,z,a;
104
   CapMap cap(g);
105

	
106
   DigraphReader<Digraph>(g,input).
107
     arcMap("capacity", cap).
108
     node("s",s).
109
     node("x",x).
110
     node("y",y).
111
     node("z",z).
112
     run();
113

	
114
   MaxCardinalitySearch<Digraph,CapMap> maxcard(g,cap);
115

	
116
   maxcard.init();
117
   maxcard.addSource(s);
118
   maxcard.start(x);
119

	
120
   check(maxcard.processed(s) and !maxcard.processed(x) and
121
         !maxcard.processed(y), "Wrong processed()!");
122

	
123
   a=maxcard.nextNode();
124
   check(maxcard.processNextNode()==a,
125
         "Wrong nextNode() or processNextNode() return value!");
126

	
127
   check(maxcard.processed(a), "Wrong processNextNode()!");
128

	
129
   maxcard.start();
130
   check(maxcard.cardinality(x)==2 and maxcard.cardinality(y)>=4,
131
         "Wrong cardinalities!");
132
 }
133

	
134
 void checkWithConst1Map(std::istringstream &input) {
135
   typedef SmartDigraph Digraph;
136
   typedef Digraph::Node Node;
137

	
138
   Digraph g;
139
   Node s,x,y,z;
140

	
141
  DigraphReader<Digraph>(g,input).
142
    node("s",s).
143
    node("x",x).
144
    node("y",y).
145
    node("z",z).
146
    run();
147

	
148
  MaxCardinalitySearch<Digraph> maxcard(g);
149
  maxcard.run(s);
150
  check(maxcard.cardinality(x)==1 &&
151
        maxcard.cardinality(y)+maxcard.cardinality(z)==3,
152
        "Wrong cardinalities!");
153
}
154

	
155
int main() {
156

	
157
  std::istringstream input1(test_lgf);
158
  checkWithIntMap(input1);
159

	
160
  std::istringstream input2(test_lgf);
161
  checkWithConst1Map(input2);
162
}
Ignore white space 6 line context
... ...
@@ -104,12 +104,13 @@
104 104
	lemon/lp_base.h \
105 105
	lemon/lp_skeleton.h \
106 106
	lemon/maps.h \
107 107
	lemon/matching.h \
108 108
	lemon/math.h \
109 109
	lemon/min_cost_arborescence.h \
110
	lemon/max_cardinality_search.h \
110 111
	lemon/nauty_reader.h \
111 112
	lemon/network_simplex.h \
112 113
	lemon/pairing_heap.h \
113 114
	lemon/path.h \
114 115
	lemon/planarity.h \
115 116
	lemon/preflow.h \
Ignore white space 12 line context
... ...
@@ -28,12 +28,13 @@
28 28
  graph_utils_test
29 29
  hao_orlin_test
30 30
  heap_test
31 31
  kruskal_test
32 32
  maps_test
33 33
  matching_test
34
  max_cardinality_search_test
34 35
  max_clique_test
35 36
  min_cost_arborescence_test
36 37
  min_cost_flow_test
37 38
  min_mean_cycle_test
38 39
  path_test
39 40
  planarity_test
Ignore white space 6 line context
... ...
@@ -30,12 +30,13 @@
30 30
	test/graph_utils_test \
31 31
	test/hao_orlin_test \
32 32
	test/heap_test \
33 33
	test/kruskal_test \
34 34
	test/maps_test \
35 35
	test/matching_test \
36
	test/max_cardinality_search_test \
36 37
	test/max_clique_test \
37 38
	test/min_cost_arborescence_test \
38 39
	test/min_cost_flow_test \
39 40
	test/min_mean_cycle_test \
40 41
	test/path_test \
41 42
	test/planarity_test \
... ...
@@ -82,12 +83,13 @@
82 83
test_kruskal_test_SOURCES = test/kruskal_test.cc
83 84
test_hao_orlin_test_SOURCES = test/hao_orlin_test.cc
84 85
test_lp_test_SOURCES = test/lp_test.cc
85 86
test_maps_test_SOURCES = test/maps_test.cc
86 87
test_mip_test_SOURCES = test/mip_test.cc
87 88
test_matching_test_SOURCES = test/matching_test.cc
89
test_max_cardinality_search_test_SOURCES = test/max_cardinality_search_test.cc
88 90
test_max_clique_test_SOURCES = test/max_clique_test.cc
89 91
test_min_cost_arborescence_test_SOURCES = test/min_cost_arborescence_test.cc
90 92
test_min_cost_flow_test_SOURCES = test/min_cost_flow_test.cc
91 93
test_min_mean_cycle_test_SOURCES = test/min_mean_cycle_test.cc
92 94
test_path_test_SOURCES = test/path_test.cc
93 95
test_planarity_test_SOURCES = test/planarity_test.cc
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