LEMON/LEMON-main Changeset - r877:141f9c0db4a3

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Changeset - r877:141f9c0db4a3

« 876:7f6e2b

931:f112c1 »
879:38213a »

r877:141f9c0db4a3

Sat, 06 Mar 2010 15:35:12

[Not Reviewed]

0 comments (0 inline)

alpar (Alpar Juttner)
alpar@cs.elte.hu

Unify the sources (#339)

0 89 0

default

89 files changed with 1054 insertions and 1026 deletions:

demo/arg_parser_demo.cc

doc/groups.dox

doc/mainpage.dox

doc/min_cost_flow.dox

lemon/adaptors.h

lemon/arg_parser.cc

lemon/arg_parser.h

lemon/bellman_ford.h

139

lemon/bfs.h

lemon/binomial_heap.h

lemon/bits/array_map.h

lemon/bits/default_map.h

lemon/bits/edge_set_extender.h

111

lemon/bits/solver_bits.h

lemon/bits/windows.cc

lemon/bucket_heap.h

lemon/capacity_scaling.h

lemon/cbc.h

lemon/circulation.h

lemon/clp.cc

lemon/clp.h

lemon/concepts/digraph.h

lemon/concepts/graph.h

lemon/concepts/graph_components.h

lemon/concepts/heap.h

lemon/connectivity.h

lemon/core.h

lemon/cost_scaling.h

lemon/cplex.cc

lemon/cycle_canceling.h

lemon/dfs.h

lemon/dijkstra.h

lemon/dimacs.h

lemon/edge_set.h

lemon/euler.h

lemon/fractional_matching.h

lemon/full_graph.h

lemon/glpk.cc

lemon/glpk.h

lemon/gomory_hu.h

lemon/graph_to_eps.h

lemon/hao_orlin.h

lemon/hartmann_orlin_mmc.h

lemon/howard_mmc.h

lemon/karp_mmc.h

lemon/lgf_reader.h

lemon/lgf_writer.h

lemon/list_graph.h

lemon/lp.h

lemon/lp_base.cc

lemon/lp_base.h

lemon/lp_skeleton.cc

lemon/lp_skeleton.h

lemon/maps.h

lemon/matching.h

lemon/math.h

lemon/min_cost_arborescence.h

lemon/network_simplex.h

lemon/path.h

lemon/planarity.h

lemon/preflow.h

lemon/smart_graph.h

lemon/soplex.cc

lemon/soplex.h

lemon/static_graph.h

lemon/suurballe.h

lemon/unionfind.h

test/bellman_ford_test.cc

test/bfs_test.cc

test/circulation_test.cc

test/connectivity_test.cc

test/dfs_test.cc

test/digraph_test.cc

test/dijkstra_test.cc

test/edge_set_test.cc

test/euler_test.cc

test/fractional_matching_test.cc

test/gomory_hu_test.cc

test/graph_test.cc

test/hao_orlin_test.cc

test/maps_test.cc

test/matching_test.cc

test/min_cost_arborescence_test.cc

test/min_cost_flow_test.cc

test/min_mean_cycle_test.cc

test/preflow_test.cc

test/suurballe_test.cc

test/test_tools.h

tools/dimacs-solver.cc

↑ Collapse diff ↑

demo/arg_parser_demo.cc

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		///\ingroup demos
 		///\file
 		///\brief Argument parser demo
 		///
 		/// This example shows how the argument parser can be used.
 		///
 		/// \include arg_parser_demo.cc
 		#include <lemon/arg_parser.h>
 		using namespace lemon;
@@ -48,49 +48,49 @@
 		  // Add a string option
 		  ap.refOption("name", "A string input.", s);
 		  // Add bool options
 		  ap.refOption("f", "A switch.", b)
 		    .refOption("nohelp", "", nh)
 		    .refOption("gra", "Choice A", g1)
 		    .refOption("grb", "Choice B", g2)
 		    .refOption("grc", "Choice C", g3);
 		  // Bundle -gr* options into a group
 		  ap.optionGroup("gr", "gra")
 		    .optionGroup("gr", "grb")
 		    .optionGroup("gr", "grc");
 		  // Set the group mandatory
 		  ap.mandatoryGroup("gr");
 		  // Set the options of the group exclusive (only one option can be given)
 		  ap.onlyOneGroup("gr");
 		  // Add non-parsed arguments (e.g. input files)
 		  ap.other("infile", "The input file.")
 		    .other("...");
 		  // Throw an exception when problems occurs. The default behavior is to
 		  // exit(1) on these cases, but this makes Valgrind falsely warn
 		  // about memory leaks.
 		  ap.throwOnProblems();
 		  // Perform the parsing process
 		  // (in case of any error it terminates the program)
 		  // The try {} construct is necessary only if the ap.trowOnProblems()
 		  // setting is in use.
 		  try {
 		    ap.parse();
 		  } catch (ArgParserException &) { return 1; }
 		  // Check each option if it has been given and print its value
 		  std::cout << "Parameters of '" << ap.commandName() << "':\n";
 		  std::cout << "  Value of -n: " << i << std::endl;
 		  if(ap.given("val")) std::cout << "  Value of -val: " << d << std::endl;
 		  if(ap.given("val2")) {
 		    d = ap["val2"];
 		    std::cout << "  Value of -val2: " << d << std::endl;
+		  }
 		  if(ap.given("name")) std::cout << "  Value of -name: " << s << std::endl;
 		  if(ap.given("f")) std::cout << "  -f is given\n";
 		  if(ap.given("nohelp")) std::cout << "  Value of -nohelp: " << nh << std::endl;
 		  if(ap.given("gra")) std::cout << "  -gra is given\n";
 		  if(ap.given("grb")) std::cout << "  -grb is given\n";
 		  if(ap.given("grc")) std::cout << "  -grc is given\n";

doc/groups.dox

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		namespace lemon {
 		/**
 		@defgroup datas Data Structures
 		This group contains the several data structures implemented in LEMON.
 		*/
 		/**
 		@defgroup graphs Graph Structures
 		@ingroup datas
 		\brief Graph structures implemented in LEMON.

doc/mainpage.dox

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		/**
 		\mainpage LEMON Documentation
 		\section intro Introduction
 		<b>LEMON</b> stands for <i><b>L</b>ibrary for <b>E</b>fficient <b>M</b>odeling
 		and <b>O</b>ptimization in <b>N</b>etworks</i>.
 		It is a C++ template library providing efficient implementations of common
 		data structures and algorithms with focus on combinatorial optimization
-		tasks connected mainly with graphs and networks.
 		tasks connected mainly with graphs and networks.
 		<b>
 		LEMON is an <a class="el" href="http://opensource.org/">open&nbsp;source</a>
 		project.
 		You are free to use it in your commercial or
 		non-commercial applications under very permissive
 		\ref license "license terms".
 		</b>
-		The project is maintained by the
 		The project is maintained by the
 		<a href="http://www.cs.elte.hu/egres/">Egerv&aacute;ry Research Group on
 		Combinatorial Optimization</a> \ref egres
 		at the Operations Research Department of the
 		<a href="http://www.elte.hu/en/">E&ouml;tv&ouml;s Lor&aacute;nd University</a>,
 		Budapest, Hungary.
 		LEMON is also a member of the <a href="http://www.coin-or.org/">COIN-OR</a>
 		initiative \ref coinor.
 		\section howtoread How to Read the Documentation
 		If you would like to get to know the library, see
 		<a class="el" href="http://lemon.cs.elte.hu/pub/tutorial/">LEMON Tutorial</a>.
 		If you are interested in starting to use the library, see the <a class="el"
 		href="http://lemon.cs.elte.hu/trac/lemon/wiki/InstallGuide/">Installation
 		Guide</a>.
 		If you know what you are looking for, then try to find it under the
 		<a class="el" href="modules.html">Modules</a> section.
 		If you are a user of the old (0.x) series of LEMON, please check out the
 		\ref migration "Migration Guide" for the backward incompatibilities.
 		*/

doc/min_cost_flow.dox

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		namespace lemon {
 		/**
 		\page min_cost_flow Minimum Cost Flow Problem
 		\section mcf_def Definition (GEQ form)
 		The \e minimum \e cost \e flow \e problem is to find a feasible flow of
 		minimum total cost from a set of supply nodes to a set of demand nodes
 		in a network with capacity constraints (lower and upper bounds)
 		and arc costs \ref amo93networkflows.
@@ -60,87 +60,87 @@
 		\section mcf_algs Algorithms
 		LEMON contains several algorithms for solving this problem, for more
 		information see \ref min_cost_flow_algs "Minimum Cost Flow Algorithms".
 		A feasible solution for this problem can be found using \ref Circulation.
 		\section mcf_dual Dual Solution
 		The dual solution of the minimum cost flow problem is represented by
 		node potentials \f$\pi: V\rightarrow\mathbf{R}\f$.
 		An \f$f: A\rightarrow\mathbf{R}\f$ primal feasible solution is optimal
 		if and only if for some \f$\pi: V\rightarrow\mathbf{R}\f$ node potentials
 		the following \e complementary \e slackness optimality conditions hold.
 		 - For all \f$uv\in A\f$ arcs:
 		   - if \f$cost^\pi(uv)>0\f$, then \f$f(uv)=lower(uv)\f$;
 		   - if \f$lower(uv)<f(uv)<upper(uv)\f$, then \f$cost^\pi(uv)=0\f$;
 		   - if \f$cost^\pi(uv)<0\f$, then \f$f(uv)=upper(uv)\f$.
 		 - For all \f$u\in V\f$ nodes:
 		   - \f$\pi(u)\leq 0\f$;
 		   - if \f$\sum_{uv\in A} f(uv) - \sum_{vu\in A} f(vu) \neq sup(u)\f$,
 		     then \f$\pi(u)=0\f$.
 		Here \f$cost^\pi(uv)\f$ denotes the \e reduced \e cost of the arc
 		\f$uv\in A\f$ with respect to the potential function \f$\pi\f$, i.e.
 		\f[ cost^\pi(uv) = cost(uv) + \pi(u) - \pi(v).\f]
 		All algorithms provide dual solution (node potentials), as well,
 		if an optimal flow is found.
 		\section mcf_eq Equality Form
 		The above \ref mcf_def "definition" is actually more general than the
 		usual formulation of the minimum cost flow problem, in which strict
 		equalities are required in the supply/demand contraints.
 		\f[ \min\sum_{uv\in A} f(uv) \cdot cost(uv) \f]
 		\f[ \sum_{uv\in A} f(uv) - \sum_{vu\in A} f(vu) =
 		    sup(u) \quad \forall u\in V \f]
 		\f[ lower(uv) \leq f(uv) \leq upper(uv) \quad \forall uv\in A \f]
 		However if the sum of the supply values is zero, then these two problems
 		are equivalent.
 		The \ref min_cost_flow_algs "algorithms" in LEMON support the general
 		form, so if you need the equality form, you have to ensure this additional
 		contraint manually.
 		\section mcf_leq Opposite Inequalites (LEQ Form)
 		Another possible definition of the minimum cost flow problem is
 		when there are <em>"less or equal"</em> (LEQ) supply/demand constraints,
 		instead of the <em>"greater or equal"</em> (GEQ) constraints.
 		\f[ \min\sum_{uv\in A} f(uv) \cdot cost(uv) \f]
 		\f[ \sum_{uv\in A} f(uv) - \sum_{vu\in A} f(vu) \leq
 		    sup(u) \quad \forall u\in V \f]
 		\f[ lower(uv) \leq f(uv) \leq upper(uv) \quad \forall uv\in A \f]
-		It means that the total demand must be less or equal to the
 		It means that the total demand must be less or equal to the
 		total supply (i.e. \f$\sum_{u\in V} sup(u)\f$ must be zero or
 		positive) and all the demands have to be satisfied, but there
 		could be supplies that are not carried out from the supply
 		nodes.
 		The equality form is also a special case of this form, of course.
 		You could easily transform this case to the \ref mcf_def "GEQ form"
 		of the problem by reversing the direction of the arcs and taking the
 		negative of the supply values (e.g. using \ref ReverseDigraph and
 		\ref NegMap adaptors).
 		However \ref NetworkSimplex algorithm also supports this form directly
 		for the sake of convenience.
 		Note that the optimality conditions for this supply constraint type are
 		slightly differ from the conditions that are discussed for the GEQ form,
 		namely the potentials have to be non-negative instead of non-positive.
 		An \f$f: A\rightarrow\mathbf{R}\f$ feasible solution of this problem
 		is optimal if and only if for some \f$\pi: V\rightarrow\mathbf{R}\f$
 		node potentials the following conditions hold.
 		 - For all \f$uv\in A\f$ arcs:
 		   - if \f$cost^\pi(uv)>0\f$, then \f$f(uv)=lower(uv)\f$;
 		   - if \f$lower(uv)<f(uv)<upper(uv)\f$, then \f$cost^\pi(uv)=0\f$;
 		   - if \f$cost^\pi(uv)<0\f$, then \f$f(uv)=upper(uv)\f$.

lemon/adaptors.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_ADAPTORS_H
 		#define LEMON_ADAPTORS_H
 		/// \ingroup graph_adaptors
 		/// \file
 		/// \brief Adaptor classes for digraphs and graphs
 		///
 		/// This file contains several useful adaptors for digraphs and graphs.
 		#include <lemon/core.h>
 		#include <lemon/maps.h>
@@ -400,49 +400,49 @@
 		  template<typename DGR>
 		  ReverseDigraph<const DGR> reverseDigraph(const DGR& digraph) {
 		    return ReverseDigraph<const DGR>(digraph);
+		  }
 		  template <typename DGR, typename NF, typename AF, bool ch = true>
 		  class SubDigraphBase : public DigraphAdaptorBase<DGR> {
 		    typedef DigraphAdaptorBase<DGR> Parent;
 		  public:
 		    typedef DGR Digraph;
 		    typedef NF NodeFilterMap;
 		    typedef AF ArcFilterMap;
 		    typedef SubDigraphBase Adaptor;
 		  protected:
 		    NF* _node_filter;
 		    AF* _arc_filter;
 		    SubDigraphBase()
 		      : Parent(), _node_filter(0), _arc_filter(0) { }
 		    void initialize(DGR& digraph, NF& node_filter, AF& arc_filter) {
 		      Parent::initialize(digraph);
 		      _node_filter = &node_filter;
-		      _arc_filter = &arc_filter;
 		      _arc_filter = &arc_filter;
+		    }
 		  public:
 		    typedef typename Parent::Node Node;
 		    typedef typename Parent::Arc Arc;
 		    void first(Node& i) const {
 		      Parent::first(i);
 		      while (i != INVALID && !(*_node_filter)[i]) Parent::next(i);
+		    }
 		    void first(Arc& i) const {
 		      Parent::first(i);
 		      while (i != INVALID && (!(*_arc_filter)[i]
 		                              || !(*_node_filter)[Parent::source(i)]
 		                              || !(*_node_filter)[Parent::target(i)]))
 		        Parent::next(i);
+		    }
 		    void firstIn(Arc& i, const Node& n) const {
 		      Parent::firstIn(i, n);
 		      while (i != INVALID && (!(*_arc_filter)[i]
 		                              || !(*_node_filter)[Parent::source(i)]))
@@ -487,123 +487,123 @@
 		    void status(const Arc& a, bool v) const { _arc_filter->set(a, v); }
 		    bool status(const Node& n) const { return (*_node_filter)[n]; }
 		    bool status(const Arc& a) const { return (*_arc_filter)[a]; }
 		    typedef False NodeNumTag;
 		    typedef False ArcNumTag;
 		    typedef FindArcTagIndicator<DGR> FindArcTag;
 		    Arc findArc(const Node& source, const Node& target,
 		                const Arc& prev = INVALID) const {
 		      if (!(*_node_filter)[source] || !(*_node_filter)[target]) {
 		        return INVALID;
+		      }
 		      Arc arc = Parent::findArc(source, target, prev);
 		      while (arc != INVALID && !(*_arc_filter)[arc]) {
 		        arc = Parent::findArc(source, target, arc);
+		      }
 		      return arc;
+		    }
 		  public:
 		    template <typename V>
 		    class NodeMap
 		      : public SubMapExtender<SubDigraphBase<DGR, NF, AF, ch>,
-			      LEMON_SCOPE_FIX(DigraphAdaptorBase<DGR>, NodeMap<V>)> {
+		    class NodeMap
 		      : public SubMapExtender<SubDigraphBase<DGR, NF, AF, ch>,
 		              LEMON_SCOPE_FIX(DigraphAdaptorBase<DGR>, NodeMap<V>)> {
 		      typedef SubMapExtender<SubDigraphBase<DGR, NF, AF, ch>,
-			LEMON_SCOPE_FIX(DigraphAdaptorBase<DGR>, NodeMap<V>)> Parent;
+		        LEMON_SCOPE_FIX(DigraphAdaptorBase<DGR>, NodeMap<V>)> Parent;
 		    public:
 		      typedef V Value;
 		      NodeMap(const SubDigraphBase<DGR, NF, AF, ch>& adaptor)
 		        : Parent(adaptor) {}
 		      NodeMap(const SubDigraphBase<DGR, NF, AF, ch>& adaptor, const V& value)
 		        : Parent(adaptor, value) {}
 		    private:
 		      NodeMap& operator=(const NodeMap& cmap) {
 		        return operator=<NodeMap>(cmap);
+		      }
 		      template <typename CMap>
 		      NodeMap& operator=(const CMap& cmap) {
 		        Parent::operator=(cmap);
 		        return *this;
+		      }
 		    };
 		    template <typename V>
-		    class ArcMap
 		    class ArcMap
 		      : public SubMapExtender<SubDigraphBase<DGR, NF, AF, ch>,
-			      LEMON_SCOPE_FIX(DigraphAdaptorBase<DGR>, ArcMap<V>)> {
+		              LEMON_SCOPE_FIX(DigraphAdaptorBase<DGR>, ArcMap<V>)> {
 		      typedef SubMapExtender<SubDigraphBase<DGR, NF, AF, ch>,
 		        LEMON_SCOPE_FIX(DigraphAdaptorBase<DGR>, ArcMap<V>)> Parent;
 		    public:
 		      typedef V Value;
 		      ArcMap(const SubDigraphBase<DGR, NF, AF, ch>& adaptor)
 		        : Parent(adaptor) {}
 		      ArcMap(const SubDigraphBase<DGR, NF, AF, ch>& adaptor, const V& value)
 		        : Parent(adaptor, value) {}
 		    private:
 		      ArcMap& operator=(const ArcMap& cmap) {
 		        return operator=<ArcMap>(cmap);
+		      }
 		      template <typename CMap>
 		      ArcMap& operator=(const CMap& cmap) {
 		        Parent::operator=(cmap);
 		        return *this;
+		      }
 		    };
 		  };
 		  template <typename DGR, typename NF, typename AF>
 		  class SubDigraphBase<DGR, NF, AF, false>
 		    : public DigraphAdaptorBase<DGR> {
 		    typedef DigraphAdaptorBase<DGR> Parent;
 		  public:
 		    typedef DGR Digraph;
 		    typedef NF NodeFilterMap;
 		    typedef AF ArcFilterMap;
 		    typedef SubDigraphBase Adaptor;
 		  protected:
 		    NF* _node_filter;
 		    AF* _arc_filter;
 		    SubDigraphBase()
 		      : Parent(), _node_filter(0), _arc_filter(0) { }
 		    void initialize(DGR& digraph, NF& node_filter, AF& arc_filter) {
 		      Parent::initialize(digraph);
 		      _node_filter = &node_filter;
-		      _arc_filter = &arc_filter;
 		      _arc_filter = &arc_filter;
+		    }
 		  public:
 		    typedef typename Parent::Node Node;
 		    typedef typename Parent::Arc Arc;
 		    void first(Node& i) const {
 		      Parent::first(i);
 		      while (i!=INVALID && !(*_node_filter)[i]) Parent::next(i);
+		    }
 		    void first(Arc& i) const {
 		      Parent::first(i);
 		      while (i!=INVALID && !(*_arc_filter)[i]) Parent::next(i);
+		    }
 		    void firstIn(Arc& i, const Node& n) const {
 		      Parent::firstIn(i, n);
 		      while (i!=INVALID && !(*_arc_filter)[i]) Parent::nextIn(i);
+		    }
 		    void firstOut(Arc& i, const Node& n) const {
 		      Parent::firstOut(i, n);
@@ -630,76 +630,76 @@
 		    void status(const Node& n, bool v) const { _node_filter->set(n, v); }
 		    void status(const Arc& a, bool v) const { _arc_filter->set(a, v); }
 		    bool status(const Node& n) const { return (*_node_filter)[n]; }
 		    bool status(const Arc& a) const { return (*_arc_filter)[a]; }
 		    typedef False NodeNumTag;
 		    typedef False ArcNumTag;
 		    typedef FindArcTagIndicator<DGR> FindArcTag;
 		    Arc findArc(const Node& source, const Node& target,
 		                const Arc& prev = INVALID) const {
 		      if (!(*_node_filter)[source] || !(*_node_filter)[target]) {
 		        return INVALID;
+		      }
 		      Arc arc = Parent::findArc(source, target, prev);
 		      while (arc != INVALID && !(*_arc_filter)[arc]) {
 		        arc = Parent::findArc(source, target, arc);
+		      }
 		      return arc;
+		    }
 		    template <typename V>
-		    class NodeMap
 		    class NodeMap
 		      : public SubMapExtender<SubDigraphBase<DGR, NF, AF, false>,
 		          LEMON_SCOPE_FIX(DigraphAdaptorBase<DGR>, NodeMap<V>)> {
-		      typedef SubMapExtender<SubDigraphBase<DGR, NF, AF, false>,
 		      typedef SubMapExtender<SubDigraphBase<DGR, NF, AF, false>,
 		        LEMON_SCOPE_FIX(DigraphAdaptorBase<DGR>, NodeMap<V>)> Parent;
 		    public:
 		      typedef V Value;
 		      NodeMap(const SubDigraphBase<DGR, NF, AF, false>& adaptor)
 		        : Parent(adaptor) {}
 		      NodeMap(const SubDigraphBase<DGR, NF, AF, false>& adaptor, const V& value)
 		        : Parent(adaptor, value) {}
 		    private:
 		      NodeMap& operator=(const NodeMap& cmap) {
 		        return operator=<NodeMap>(cmap);
+		      }
 		      template <typename CMap>
 		      NodeMap& operator=(const CMap& cmap) {
 		        Parent::operator=(cmap);
 		        return *this;
+		      }
 		    };
 		    template <typename V>
-		    class ArcMap
 		    class ArcMap
 		      : public SubMapExtender<SubDigraphBase<DGR, NF, AF, false>,
 		          LEMON_SCOPE_FIX(DigraphAdaptorBase<DGR>, ArcMap<V>)> {
 		      typedef SubMapExtender<SubDigraphBase<DGR, NF, AF, false>,
 		        LEMON_SCOPE_FIX(DigraphAdaptorBase<DGR>, ArcMap<V>)> Parent;
 		    public:
 		      typedef V Value;
 		      ArcMap(const SubDigraphBase<DGR, NF, AF, false>& adaptor)
 		        : Parent(adaptor) {}
 		      ArcMap(const SubDigraphBase<DGR, NF, AF, false>& adaptor, const V& value)
 		        : Parent(adaptor, value) {}
 		    private:
 		      ArcMap& operator=(const ArcMap& cmap) {
 		        return operator=<ArcMap>(cmap);
+		      }
 		      template <typename CMap>
 		      ArcMap& operator=(const CMap& cmap) {
 		        Parent::operator=(cmap);
 		        return *this;
+		      }
 		    };
@@ -1000,146 +1000,146 @@
 		      if (!(*_node_filter)[u] || !(*_node_filter)[v]) {
 		        return INVALID;
+		      }
 		      Arc arc = Parent::findArc(u, v, prev);
 		      while (arc != INVALID && !(*_edge_filter)[arc]) {
 		        arc = Parent::findArc(u, v, arc);
+		      }
 		      return arc;
+		    }
 		    typedef FindEdgeTagIndicator<Graph> FindEdgeTag;
 		    Edge findEdge(const Node& u, const Node& v,
 		                  const Edge& prev = INVALID) const {
 		      if (!(*_node_filter)[u] || !(*_node_filter)[v]) {
 		        return INVALID;
+		      }
 		      Edge edge = Parent::findEdge(u, v, prev);
 		      while (edge != INVALID && !(*_edge_filter)[edge]) {
 		        edge = Parent::findEdge(u, v, edge);
+		      }
 		      return edge;
+		    }
 		    template <typename V>
-		    class NodeMap
 		    class NodeMap
 		      : public SubMapExtender<SubGraphBase<GR, NF, EF, ch>,
 		          LEMON_SCOPE_FIX(GraphAdaptorBase<GR>, NodeMap<V>)> {
-		      typedef SubMapExtender<SubGraphBase<GR, NF, EF, ch>,
 		      typedef SubMapExtender<SubGraphBase<GR, NF, EF, ch>,
 		        LEMON_SCOPE_FIX(GraphAdaptorBase<GR>, NodeMap<V>)> Parent;
 		    public:
 		      typedef V Value;
 		      NodeMap(const SubGraphBase<GR, NF, EF, ch>& adaptor)
 		        : Parent(adaptor) {}
 		      NodeMap(const SubGraphBase<GR, NF, EF, ch>& adaptor, const V& value)
 		        : Parent(adaptor, value) {}
 		    private:
 		      NodeMap& operator=(const NodeMap& cmap) {
 		        return operator=<NodeMap>(cmap);
+		      }
 		      template <typename CMap>
 		      NodeMap& operator=(const CMap& cmap) {
 		        Parent::operator=(cmap);
 		        return *this;
+		      }
 		    };
 		    template <typename V>
-		    class ArcMap
 		    class ArcMap
 		      : public SubMapExtender<SubGraphBase<GR, NF, EF, ch>,
 		          LEMON_SCOPE_FIX(GraphAdaptorBase<GR>, ArcMap<V>)> {
-		      typedef SubMapExtender<SubGraphBase<GR, NF, EF, ch>,
 		      typedef SubMapExtender<SubGraphBase<GR, NF, EF, ch>,
 		        LEMON_SCOPE_FIX(GraphAdaptorBase<GR>, ArcMap<V>)> Parent;
 		    public:
 		      typedef V Value;
 		      ArcMap(const SubGraphBase<GR, NF, EF, ch>& adaptor)
 		        : Parent(adaptor) {}
 		      ArcMap(const SubGraphBase<GR, NF, EF, ch>& adaptor, const V& value)
 		        : Parent(adaptor, value) {}
 		    private:
 		      ArcMap& operator=(const ArcMap& cmap) {
 		        return operator=<ArcMap>(cmap);
+		      }
 		      template <typename CMap>
 		      ArcMap& operator=(const CMap& cmap) {
 		        Parent::operator=(cmap);
 		        return *this;
+		      }
 		    };
 		    template <typename V>
-		    class EdgeMap
 		    class EdgeMap
 		      : public SubMapExtender<SubGraphBase<GR, NF, EF, ch>,
 		        LEMON_SCOPE_FIX(GraphAdaptorBase<GR>, EdgeMap<V>)> {
-		      typedef SubMapExtender<SubGraphBase<GR, NF, EF, ch>,
 		      typedef SubMapExtender<SubGraphBase<GR, NF, EF, ch>,
 		        LEMON_SCOPE_FIX(GraphAdaptorBase<GR>, EdgeMap<V>)> Parent;
 		    public:
 		      typedef V Value;
 		      EdgeMap(const SubGraphBase<GR, NF, EF, ch>& adaptor)
 		        : Parent(adaptor) {}
 		      EdgeMap(const SubGraphBase<GR, NF, EF, ch>& adaptor, const V& value)
 		        : Parent(adaptor, value) {}
 		    private:
 		      EdgeMap& operator=(const EdgeMap& cmap) {
 		        return operator=<EdgeMap>(cmap);
+		      }
 		      template <typename CMap>
 		      EdgeMap& operator=(const CMap& cmap) {
 		        Parent::operator=(cmap);
 		        return *this;
+		      }
 		    };
 		  };
 		  template <typename GR, typename NF, typename EF>
 		  class SubGraphBase<GR, NF, EF, false>
 		    : public GraphAdaptorBase<GR> {
 		    typedef GraphAdaptorBase<GR> Parent;
 		  public:
 		    typedef GR Graph;
 		    typedef NF NodeFilterMap;
 		    typedef EF EdgeFilterMap;
 		    typedef SubGraphBase Adaptor;
 		  protected:
 		    NF* _node_filter;
 		    EF* _edge_filter;
 		    SubGraphBase()
 			  : Parent(), _node_filter(0), _edge_filter(0) { }
 		    SubGraphBase()
 		          : Parent(), _node_filter(0), _edge_filter(0) { }
 		    void initialize(GR& graph, NF& node_filter, EF& edge_filter) {
 		      Parent::initialize(graph);
 		      _node_filter = &node_filter;
 		      _edge_filter = &edge_filter;
+		    }
 		  public:
 		    typedef typename Parent::Node Node;
 		    typedef typename Parent::Arc Arc;
 		    typedef typename Parent::Edge Edge;
 		    void first(Node& i) const {
 		      Parent::first(i);
 		      while (i!=INVALID && !(*_node_filter)[i]) Parent::next(i);
+		    }
 		    void first(Arc& i) const {
 		      Parent::first(i);
 		      while (i!=INVALID && !(*_edge_filter)[i]) Parent::next(i);
+		    }
 		    void first(Edge& i) const {
@@ -1198,107 +1198,107 @@
 		    typedef False ArcNumTag;
 		    typedef False EdgeNumTag;
 		    typedef FindArcTagIndicator<Graph> FindArcTag;
 		    Arc findArc(const Node& u, const Node& v,
 		                const Arc& prev = INVALID) const {
 		      Arc arc = Parent::findArc(u, v, prev);
 		      while (arc != INVALID && !(*_edge_filter)[arc]) {
 		        arc = Parent::findArc(u, v, arc);
+		      }
 		      return arc;
+		    }
 		    typedef FindEdgeTagIndicator<Graph> FindEdgeTag;
 		    Edge findEdge(const Node& u, const Node& v,
 		                  const Edge& prev = INVALID) const {
 		      Edge edge = Parent::findEdge(u, v, prev);
 		      while (edge != INVALID && !(*_edge_filter)[edge]) {
 		        edge = Parent::findEdge(u, v, edge);
+		      }
 		      return edge;
+		    }
 		    template <typename V>
-		    class NodeMap
 		    class NodeMap
 		      : public SubMapExtender<SubGraphBase<GR, NF, EF, false>,
 		          LEMON_SCOPE_FIX(GraphAdaptorBase<GR>, NodeMap<V>)> {
-		      typedef SubMapExtender<SubGraphBase<GR, NF, EF, false>,
 		      typedef SubMapExtender<SubGraphBase<GR, NF, EF, false>,
 		        LEMON_SCOPE_FIX(GraphAdaptorBase<GR>, NodeMap<V>)> Parent;
 		    public:
 		      typedef V Value;
 		      NodeMap(const SubGraphBase<GR, NF, EF, false>& adaptor)
 		        : Parent(adaptor) {}
 		      NodeMap(const SubGraphBase<GR, NF, EF, false>& adaptor, const V& value)
 		        : Parent(adaptor, value) {}
 		    private:
 		      NodeMap& operator=(const NodeMap& cmap) {
 		        return operator=<NodeMap>(cmap);
+		      }
 		      template <typename CMap>
 		      NodeMap& operator=(const CMap& cmap) {
 		        Parent::operator=(cmap);
 		        return *this;
+		      }
 		    };
 		    template <typename V>
-		    class ArcMap
 		    class ArcMap
 		      : public SubMapExtender<SubGraphBase<GR, NF, EF, false>,
 		          LEMON_SCOPE_FIX(GraphAdaptorBase<GR>, ArcMap<V>)> {
-		      typedef SubMapExtender<SubGraphBase<GR, NF, EF, false>,
 		      typedef SubMapExtender<SubGraphBase<GR, NF, EF, false>,
 		        LEMON_SCOPE_FIX(GraphAdaptorBase<GR>, ArcMap<V>)> Parent;
 		    public:
 		      typedef V Value;
 		      ArcMap(const SubGraphBase<GR, NF, EF, false>& adaptor)
 		        : Parent(adaptor) {}
 		      ArcMap(const SubGraphBase<GR, NF, EF, false>& adaptor, const V& value)
 		        : Parent(adaptor, value) {}
 		    private:
 		      ArcMap& operator=(const ArcMap& cmap) {
 		        return operator=<ArcMap>(cmap);
+		      }
 		      template <typename CMap>
 		      ArcMap& operator=(const CMap& cmap) {
 		        Parent::operator=(cmap);
 		        return *this;
+		      }
 		    };
 		    template <typename V>
-		    class EdgeMap
 		    class EdgeMap
 		      : public SubMapExtender<SubGraphBase<GR, NF, EF, false>,
 		        LEMON_SCOPE_FIX(GraphAdaptorBase<GR>, EdgeMap<V>)> {
 		      typedef SubMapExtender<SubGraphBase<GR, NF, EF, false>,
 			LEMON_SCOPE_FIX(GraphAdaptorBase<GR>, EdgeMap<V>)> Parent;
 		      typedef SubMapExtender<SubGraphBase<GR, NF, EF, false>,
 		        LEMON_SCOPE_FIX(GraphAdaptorBase<GR>, EdgeMap<V>)> Parent;
 		    public:
 		      typedef V Value;
 		      EdgeMap(const SubGraphBase<GR, NF, EF, false>& adaptor)
 		        : Parent(adaptor) {}
 		      EdgeMap(const SubGraphBase<GR, NF, EF, false>& adaptor, const V& value)
 		        : Parent(adaptor, value) {}
 		    private:
 		      EdgeMap& operator=(const EdgeMap& cmap) {
 		        return operator=<EdgeMap>(cmap);
+		      }
 		      template <typename CMap>
 		      EdgeMap& operator=(const CMap& cmap) {
 		        Parent::operator=(cmap);
 		        return *this;
+		      }
 		    };
 		  };
@@ -1483,112 +1483,112 @@
 		  /// \tparam GR The type of the adapted digraph or graph.
 		  /// It must conform to the \ref concepts::Digraph "Digraph" concept
 		  /// or the \ref concepts::Graph "Graph" concept.
 		  /// It can also be specified to be \c const.
 		  /// \tparam NF The type of the node filter map.
 		  /// It must be a \c bool (or convertible) node map of the
 		  /// adapted (di)graph. The default type is
 		  /// \ref concepts::Graph::NodeMap "GR::NodeMap<bool>".
 		  ///
 		  /// \note The \c Node and <tt>Arc/Edge</tt> types of this adaptor and the
 		  /// adapted (di)graph are convertible to each other.
 		#ifdef DOXYGEN
 		  template<typename GR, typename NF>
 		  class FilterNodes {
 		#else
 		  template<typename GR,
 		           typename NF = typename GR::template NodeMap<bool>,
 		           typename Enable = void>
 		  class FilterNodes :
 		    public DigraphAdaptorExtender<
 		      SubDigraphBase<GR, NF, ConstMap<typename GR::Arc, Const<bool, true> >,
 		                     true> > {
 		#endif
 		    typedef DigraphAdaptorExtender<
-		      SubDigraphBase<GR, NF, ConstMap<typename GR::Arc, Const<bool, true> >,
 		      SubDigraphBase<GR, NF, ConstMap<typename GR::Arc, Const<bool, true> >,
 		                     true> > Parent;
 		  public:
 		    typedef GR Digraph;
 		    typedef NF NodeFilterMap;
 		    typedef typename Parent::Node Node;
 		  protected:
 		    ConstMap<typename Digraph::Arc, Const<bool, true> > const_true_map;
 		    FilterNodes() : const_true_map() {}
 		  public:
 		    /// \brief Constructor
 		    ///
 		    /// Creates a subgraph for the given digraph or graph with the
 		    /// given node filter map.
-		    FilterNodes(GR& graph, NF& node_filter)
 		    FilterNodes(GR& graph, NF& node_filter)
 		      : Parent(), const_true_map()
+		    {
 		      Parent::initialize(graph, node_filter, const_true_map);
+		    }
 		    /// \brief Sets the status of the given node
 		    ///
 		    /// This function sets the status of the given node.
 		    /// It is done by simply setting the assigned value of \c n
 		    /// to \c v in the node filter map.
 		    void status(const Node& n, bool v) const { Parent::status(n, v); }
 		    /// \brief Returns the status of the given node
 		    ///
 		    /// This function returns the status of the given node.
 		    /// It is \c true if the given node is enabled (i.e. not hidden).
 		    bool status(const Node& n) const { return Parent::status(n); }
 		    /// \brief Disables the given node
 		    ///
 		    /// This function disables the given node, so the iteration
 		    /// jumps over it.
 		    /// It is the same as \ref status() "status(n, false)".
 		    void disable(const Node& n) const { Parent::status(n, false); }
 		    /// \brief Enables the given node
 		    ///
 		    /// This function enables the given node.
 		    /// It is the same as \ref status() "status(n, true)".
 		    void enable(const Node& n) const { Parent::status(n, true); }
 		  };
 		  template<typename GR, typename NF>
 		  class FilterNodes<GR, NF,
 		                    typename enable_if<UndirectedTagIndicator<GR> >::type> :
 		    public GraphAdaptorExtender<
-		      SubGraphBase<GR, NF, ConstMap<typename GR::Edge, Const<bool, true> >,
 		      SubGraphBase<GR, NF, ConstMap<typename GR::Edge, Const<bool, true> >,
 		                   true> > {
 		    typedef GraphAdaptorExtender<
-		      SubGraphBase<GR, NF, ConstMap<typename GR::Edge, Const<bool, true> >,
 		      SubGraphBase<GR, NF, ConstMap<typename GR::Edge, Const<bool, true> >,
 		                   true> > Parent;
 		  public:
 		    typedef GR Graph;
 		    typedef NF NodeFilterMap;
 		    typedef typename Parent::Node Node;
 		  protected:
 		    ConstMap<typename GR::Edge, Const<bool, true> > const_true_map;
 		    FilterNodes() : const_true_map() {}
 		  public:
 		    FilterNodes(GR& graph, NodeFilterMap& node_filter) :
 		      Parent(), const_true_map() {
 		      Parent::initialize(graph, node_filter, const_true_map);
+		    }
 		    void status(const Node& n, bool v) const { Parent::status(n, v); }
 		    bool status(const Node& n) const { return Parent::status(n); }
 		    void disable(const Node& n) const { Parent::status(n, false); }
@@ -1632,49 +1632,49 @@
 		  ///
 		  /// \tparam DGR The type of the adapted digraph.
 		  /// It must conform to the \ref concepts::Digraph "Digraph" concept.
 		  /// It can also be specified to be \c const.
 		  /// \tparam AF The type of the arc filter map.
 		  /// It must be a \c bool (or convertible) arc map of the
 		  /// adapted digraph. The default type is
 		  /// \ref concepts::Digraph::ArcMap "DGR::ArcMap<bool>".
 		  ///
 		  /// \note The \c Node and \c Arc types of this adaptor and the adapted
 		  /// digraph are convertible to each other.
 		#ifdef DOXYGEN
 		  template<typename DGR,
 		           typename AF>
 		  class FilterArcs {
 		#else
 		  template<typename DGR,
 		           typename AF = typename DGR::template ArcMap<bool> >
 		  class FilterArcs :
 		    public DigraphAdaptorExtender<
 		      SubDigraphBase<DGR, ConstMap<typename DGR::Node, Const<bool, true> >,
 		                     AF, false> > {
 		#endif
 		    typedef DigraphAdaptorExtender<
-		      SubDigraphBase<DGR, ConstMap<typename DGR::Node, Const<bool, true> >,
 		      SubDigraphBase<DGR, ConstMap<typename DGR::Node, Const<bool, true> >,
 		                     AF, false> > Parent;
 		  public:
 		    /// The type of the adapted digraph.
 		    typedef DGR Digraph;
 		    /// The type of the arc filter map.
 		    typedef AF ArcFilterMap;
 		    typedef typename Parent::Arc Arc;
 		  protected:
 		    ConstMap<typename DGR::Node, Const<bool, true> > const_true_map;
 		    FilterArcs() : const_true_map() {}
 		  public:
 		    /// \brief Constructor
 		    ///
 		    /// Creates a subdigraph for the given digraph with the given arc
 		    /// filter map.
 		    FilterArcs(DGR& digraph, ArcFilterMap& arc_filter)
 		      : Parent(), const_true_map() {
@@ -1740,78 +1740,78 @@
 		  /// by adding or removing nodes or edges, unless the \c GR template
 		  /// parameter is set to be \c const.
 		  ///
 		  /// This class provides only linear time counting for nodes, edges and arcs.
 		  ///
 		  /// \tparam GR The type of the adapted graph.
 		  /// It must conform to the \ref concepts::Graph "Graph" concept.
 		  /// It can also be specified to be \c const.
 		  /// \tparam EF The type of the edge filter map.
 		  /// It must be a \c bool (or convertible) edge map of the
 		  /// adapted graph. The default type is
 		  /// \ref concepts::Graph::EdgeMap "GR::EdgeMap<bool>".
 		  ///
 		  /// \note The \c Node, \c Edge and \c Arc types of this adaptor and the
 		  /// adapted graph are convertible to each other.
 		#ifdef DOXYGEN
 		  template<typename GR,
 		           typename EF>
 		  class FilterEdges {
 		#else
 		  template<typename GR,
 		           typename EF = typename GR::template EdgeMap<bool> >
 		  class FilterEdges :
 		    public GraphAdaptorExtender<
-		      SubGraphBase<GR, ConstMap<typename GR::Node, Const<bool, true> >,
 		      SubGraphBase<GR, ConstMap<typename GR::Node, Const<bool, true> >,
 		                   EF, false> > {
 		#endif
 		    typedef GraphAdaptorExtender<
-		      SubGraphBase<GR, ConstMap<typename GR::Node, Const<bool, true > >,
 		      SubGraphBase<GR, ConstMap<typename GR::Node, Const<bool, true > >,
 		                   EF, false> > Parent;
 		  public:
 		    /// The type of the adapted graph.
 		    typedef GR Graph;
 		    /// The type of the edge filter map.
 		    typedef EF EdgeFilterMap;
 		    typedef typename Parent::Edge Edge;
 		  protected:
 		    ConstMap<typename GR::Node, Const<bool, true> > const_true_map;
 		    FilterEdges() : const_true_map(true) {
 		      Parent::setNodeFilterMap(const_true_map);
+		    }
 		  public:
 		    /// \brief Constructor
 		    ///
 		    /// Creates a subgraph for the given graph with the given edge
 		    /// filter map.
-		    FilterEdges(GR& graph, EF& edge_filter)
 		    FilterEdges(GR& graph, EF& edge_filter)
 		      : Parent(), const_true_map() {
 		      Parent::initialize(graph, const_true_map, edge_filter);
+		    }
 		    /// \brief Sets the status of the given edge
 		    ///
 		    /// This function sets the status of the given edge.
 		    /// It is done by simply setting the assigned value of \c e
 		    /// to \c v in the edge filter map.
 		    void status(const Edge& e, bool v) const { Parent::status(e, v); }
 		    /// \brief Returns the status of the given edge
 		    ///
 		    /// This function returns the status of the given edge.
 		    /// It is \c true if the given edge is enabled (i.e. not hidden).
 		    bool status(const Edge& e) const { return Parent::status(e); }
 		    /// \brief Disables the given edge
 		    ///
 		    /// This function disables the given edge in the subgraph,
 		    /// so the iteration jumps over it.
 		    /// It is the same as \ref status() "status(e, false)".
 		    void disable(const Edge& e) const { Parent::status(e, false); }
@@ -1837,49 +1837,49 @@
 		  template<typename GR, typename EF>
 		  FilterEdges<const GR, const EF>
 		  filterEdges(const GR& graph, const EF& edge_filter) {
 		    return FilterEdges<const GR, const EF>(graph, edge_filter);
+		  }
 		  template <typename DGR>
 		  class UndirectorBase {
 		  public:
 		    typedef DGR Digraph;
 		    typedef UndirectorBase Adaptor;
 		    typedef True UndirectedTag;
 		    typedef typename Digraph::Arc Edge;
 		    typedef typename Digraph::Node Node;
 		    class Arc {
 		      friend class UndirectorBase;
 		    protected:
 		      Edge _edge;
 		      bool _forward;
-		      Arc(const Edge& edge, bool forward)
 		      Arc(const Edge& edge, bool forward)
 		        : _edge(edge), _forward(forward) {}
 		    public:
 		      Arc() {}
 		      Arc(Invalid) : _edge(INVALID), _forward(true) {}
 		      operator const Edge&() const { return _edge; }
 		      bool operator==(const Arc &other) const {
 		        return _forward == other._forward && _edge == other._edge;
+		      }
 		      bool operator!=(const Arc &other) const {
 		        return _forward != other._forward || _edge != other._edge;
+		      }
 		      bool operator<(const Arc &other) const {
 		        return _forward < other._forward ||
 		          (_forward == other._forward && _edge < other._edge);
+		      }
 		    };
 		    void first(Node& n) const {
 		      _digraph->first(n);
+		    }
@@ -2077,49 +2077,49 @@
 		  private:
 		    template <typename V>
 		    class ArcMapBase {
 		    private:
 		      typedef typename DGR::template ArcMap<V> MapImpl;
 		    public:
 		      typedef typename MapTraits<MapImpl>::ReferenceMapTag ReferenceMapTag;
 		      typedef V Value;
 		      typedef Arc Key;
 		      typedef typename MapTraits<MapImpl>::ConstReturnValue ConstReturnValue;
 		      typedef typename MapTraits<MapImpl>::ReturnValue ReturnValue;
 		      typedef typename MapTraits<MapImpl>::ConstReturnValue ConstReference;
 		      typedef typename MapTraits<MapImpl>::ReturnValue Reference;
 		      ArcMapBase(const UndirectorBase<DGR>& adaptor) :
 		        _forward(*adaptor._digraph), _backward(*adaptor._digraph) {}
 		      ArcMapBase(const UndirectorBase<DGR>& adaptor, const V& value)
-		        : _forward(*adaptor._digraph, value),
 		        : _forward(*adaptor._digraph, value),
 		          _backward(*adaptor._digraph, value) {}
 		      void set(const Arc& a, const V& value) {
 		        if (direction(a)) {
 		          _forward.set(a, value);
 		        } else {
 		          _backward.set(a, value);
+		        }
+		      }
 		      ConstReturnValue operator[](const Arc& a) const {
 		        if (direction(a)) {
 		          return _forward[a];
 		        } else {
 		          return _backward[a];
+		        }
+		      }
 		      ReturnValue operator[](const Arc& a) {
 		        if (direction(a)) {
 		          return _forward[a];
 		        } else {
 		          return _backward[a];
+		        }
@@ -2195,49 +2195,49 @@
 		      explicit EdgeMap(const UndirectorBase<DGR>& adaptor)
 		        : Parent(*adaptor._digraph) {}
 		      EdgeMap(const UndirectorBase<DGR>& adaptor, const V& value)
 		        : Parent(*adaptor._digraph, value) {}
 		    private:
 		      EdgeMap& operator=(const EdgeMap& cmap) {
 		        return operator=<EdgeMap>(cmap);
+		      }
 		      template <typename CMap>
 		      EdgeMap& operator=(const CMap& cmap) {
 		        Parent::operator=(cmap);
 		        return *this;
+		      }
 		    };
 		    typedef typename ItemSetTraits<DGR, Node>::ItemNotifier NodeNotifier;
 		    NodeNotifier& notifier(Node) const { return _digraph->notifier(Node()); }
 		    typedef typename ItemSetTraits<DGR, Edge>::ItemNotifier EdgeNotifier;
 		    EdgeNotifier& notifier(Edge) const { return _digraph->notifier(Edge()); }
 		    typedef EdgeNotifier ArcNotifier;
 		    ArcNotifier& notifier(Arc) const { return _digraph->notifier(Edge()); }
 		  protected:
 		    UndirectorBase() : _digraph(0) {}
 		    DGR* _digraph;
 		    void initialize(DGR& digraph) {
 		      _digraph = &digraph;
+		    }
 		  };
 		  /// \ingroup graph_adaptors
 		  ///
 		  /// \brief Adaptor class for viewing a digraph as an undirected graph.
 		  ///
 		  /// Undirector adaptor can be used for viewing a digraph as an undirected
 		  /// graph. All arcs of the underlying digraph are showed in the
 		  /// adaptor as an edge (and also as a pair of arcs, of course).
 		  /// This adaptor conforms to the \ref concepts::Graph "Graph" concept.
 		  ///
@@ -2707,49 +2707,49 @@
 		  /// the capacities in the flow problem. It is implicitly \c const.
 		  /// The default type is
 		  /// \ref concepts::Digraph::ArcMap "GR::ArcMap<int>".
 		  /// \tparam FM The type of the flow map.
 		  /// It must be an arc map of some numerical type, which defines
 		  /// the flow values in the flow problem. The default type is \c CM.
 		  /// \tparam TL The tolerance type for handling inexact computation.
 		  /// The default tolerance type depends on the value type of the
 		  /// capacity map.
 		  ///
 		  /// \note This adaptor is implemented using Undirector and FilterArcs
 		  /// adaptors.
 		  ///
 		  /// \note The \c Node type of this adaptor and the adapted digraph are
 		  /// convertible to each other, moreover the \c Arc type of the adaptor
 		  /// is convertible to the \c Arc type of the adapted digraph.
 		#ifdef DOXYGEN
 		  template<typename DGR, typename CM, typename FM, typename TL>
 		  class ResidualDigraph
 		#else
 		  template<typename DGR,
 		           typename CM = typename DGR::template ArcMap<int>,
 		           typename FM = CM,
 		           typename TL = Tolerance<typename CM::Value> >
-		  class ResidualDigraph
 		  class ResidualDigraph
 		    : public SubDigraph<
 		        Undirector<const DGR>,
 		        ConstMap<typename DGR::Node, Const<bool, true> >,
 		        typename Undirector<const DGR>::template CombinedArcMap<
 		          _adaptor_bits::ResForwardFilter<const DGR, CM, FM, TL>,
 		          _adaptor_bits::ResBackwardFilter<const DGR, CM, FM, TL> > >
 		#endif
+		  {
 		  public:
 		    /// The type of the underlying digraph.
 		    typedef DGR Digraph;
 		    /// The type of the capacity map.
 		    typedef CM CapacityMap;
 		    /// The type of the flow map.
 		    typedef FM FlowMap;
 		    /// The tolerance type.
 		    typedef TL Tolerance;
 		    typedef typename CapacityMap::Value Value;
 		    typedef ResidualDigraph Adaptor;
 		  protected:
@@ -2764,49 +2764,49 @@
 		                                             FM, TL> BackwardFilter;
 		    typedef typename Undirected::
 		      template CombinedArcMap<ForwardFilter, BackwardFilter> ArcFilter;
 		    typedef SubDigraph<Undirected, NodeFilter, ArcFilter> Parent;
 		    const CapacityMap* _capacity;
 		    FlowMap* _flow;
 		    Undirected _graph;
 		    NodeFilter _node_filter;
 		    ForwardFilter _forward_filter;
 		    BackwardFilter _backward_filter;
 		    ArcFilter _arc_filter;
 		  public:
 		    /// \brief Constructor
 		    ///
 		    /// Constructor of the residual digraph adaptor. The parameters are the
 		    /// digraph, the capacity map, the flow map, and a tolerance object.
 		    ResidualDigraph(const DGR& digraph, const CM& capacity,
 		                    FM& flow, const TL& tolerance = Tolerance())
-		      : Parent(), _capacity(&capacity), _flow(&flow),
 		      : Parent(), _capacity(&capacity), _flow(&flow),
 		        _graph(digraph), _node_filter(),
 		        _forward_filter(capacity, flow, tolerance),
 		        _backward_filter(capacity, flow, tolerance),
 		        _arc_filter(_forward_filter, _backward_filter)
+		    {
 		      Parent::initialize(_graph, _node_filter, _arc_filter);
+		    }
 		    typedef typename Parent::Arc Arc;
 		    /// \brief Returns the residual capacity of the given arc.
 		    ///
 		    /// Returns the residual capacity of the given arc.
 		    Value residualCapacity(const Arc& a) const {
 		      if (Undirected::direction(a)) {
 		        return (*_capacity)[a] - (*_flow)[a];
 		      } else {
 		        return (*_flow)[a];
+		      }
+		    }
 		    /// \brief Augments on the given arc in the residual digraph.
 		    ///
 		    /// Augments on the given arc in the residual digraph. It increases
@@ -2846,49 +2846,49 @@
 		    /// \brief Returns the backward oriented residual arc.
 		    ///
 		    /// Returns the backward oriented residual arc related to the given
 		    /// arc of the underlying digraph.
 		    static Arc backward(const typename Digraph::Arc& a) {
 		      return Undirected::direct(a, false);
+		    }
 		    /// \brief Residual capacity map.
 		    ///
 		    /// This map adaptor class can be used for obtaining the residual
 		    /// capacities as an arc map of the residual digraph.
 		    /// Its value type is inherited from the capacity map.
 		    class ResidualCapacity {
 		    protected:
 		      const Adaptor* _adaptor;
 		    public:
 		      /// The key type of the map
 		      typedef Arc Key;
 		      /// The value type of the map
 		      typedef typename CapacityMap::Value Value;
 		      /// Constructor
-		      ResidualCapacity(const ResidualDigraph<DGR, CM, FM, TL>& adaptor)
 		      ResidualCapacity(const ResidualDigraph<DGR, CM, FM, TL>& adaptor)
 		        : _adaptor(&adaptor) {}
 		      /// Returns the value associated with the given residual arc
 		      Value operator[](const Arc& a) const {
 		        return _adaptor->residualCapacity(a);
+		      }
 		    };
 		    /// \brief Returns a residual capacity map
 		    ///
 		    /// This function just returns a residual capacity map.
 		    ResidualCapacity residualCapacity() const {
 		      return ResidualCapacity(*this);
+		    }
 		  };
 		  /// \brief Returns a (read-only) Residual adaptor
 		  ///
 		  /// This function just returns a (read-only) \ref ResidualDigraph adaptor.
 		  /// \ingroup graph_adaptors
 		  /// \relates ResidualDigraph
 		    template<typename DGR, typename CM, typename FM>
@@ -3426,49 +3426,49 @@
 		    /// \brief Returns the bind arc that corresponds to the given
 		    /// original node.
 		    ///
 		    /// Returns the bind arc in the adaptor that corresponds to the given
 		    /// original node, i.e. the arc connecting the in-node and out-node
 		    /// of \c n.
 		    static Arc arc(const DigraphNode& n) {
 		      return Parent::arc(n);
+		    }
 		    /// \brief Returns the arc that corresponds to the given original arc.
 		    ///
 		    /// Returns the arc in the adaptor that corresponds to the given
 		    /// original arc.
 		    static Arc arc(const DigraphArc& a) {
 		      return Parent::arc(a);
+		    }
 		    /// \brief Node map combined from two original node maps
 		    ///
 		    /// This map adaptor class adapts two node maps of the original digraph
 		    /// to get a node map of the split digraph.
 		    /// Its value type is inherited from the first node map type (\c IN).
-		    /// \tparam IN The type of the node map for the in-nodes.
 		    /// \tparam IN The type of the node map for the in-nodes.
 		    /// \tparam OUT The type of the node map for the out-nodes.
 		    template <typename IN, typename OUT>
 		    class CombinedNodeMap {
 		    public:
 		      /// The key type of the map
 		      typedef Node Key;
 		      /// The value type of the map
 		      typedef typename IN::Value Value;
 		      typedef typename MapTraits<IN>::ReferenceMapTag ReferenceMapTag;
 		      typedef typename MapTraits<IN>::ReturnValue ReturnValue;
 		      typedef typename MapTraits<IN>::ConstReturnValue ConstReturnValue;
 		      typedef typename MapTraits<IN>::ReturnValue Reference;
 		      typedef typename MapTraits<IN>::ConstReturnValue ConstReference;
 		      /// Constructor
 		      CombinedNodeMap(IN& in_map, OUT& out_map)
 		        : _in_map(in_map), _out_map(out_map) {}
 		      /// Returns the value associated with the given key.
 		      Value operator[](const Key& key) const {
 		        if (SplitNodesBase<const DGR>::inNode(key)) {
 		          return _in_map[key];

lemon/arg_parser.cc

Show inline comments

/* -*- mode: C++; indent-tabs-mode: nil; -*-
 *
 * This file is a part of LEMON, a generic C++ optimization library.
 *
 * Copyright (C) 2003-2009
 * Copyright (C) 2003-2010
 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 * (Egervary Research Group on Combinatorial Optimization, EGRES).
 *
 * Permission to use, modify and distribute this software is granted
 * provided that this copyright notice appears in all copies. For
 * precise terms see the accompanying LICENSE file.
 *
 * This software is provided "AS IS" with no warranty of any kind,
 * express or implied, and with no claim as to its suitability for any
 * purpose.
 *
 */

#include <lemon/arg_parser.h>

namespace lemon {

  void ArgParser::_terminate(ArgParserException::Reason reason) const
  {
    if(_exit_on_problems)
      exit(1);
    else throw(ArgParserException(reason));
  }
  
  


  void ArgParser::_showHelp(void *p)
  {
    (static_cast<ArgParser*>(p))->showHelp();
    (static_cast<ArgParser*>(p))->_terminate(ArgParserException::HELP);
  }

  ArgParser::ArgParser(int argc, const char * const *argv)
    :_argc(argc), _argv(argv), _command_name(argv[0]),
    _exit_on_problems(true) {
    funcOption("-help","Print a short help message",_showHelp,this);
    synonym("help","-help");
    synonym("h","-help");
  }

  ArgParser::~ArgParser()
  {
    for(Opts::iterator i=_opts.begin();i!=_opts.end();++i)
      if(i->second.self_delete)
        switch(i->second.type) {
        case BOOL:
          delete i->second.bool_p;
          break;
        case STRING:
          delete i->second.string_p;

lemon/arg_parser.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_ARG_PARSER_H
 		#define LEMON_ARG_PARSER_H
 		#include <vector>
 		#include <map>
 		#include <list>
 		#include <string>
 		#include <iostream>
 		#include <sstream>
 		#include <algorithm>
 		#include <lemon/assert.h>
 		///\ingroup misc
 		///\file
 		///\brief A tool to parse command line arguments.
 		namespace lemon {
 		  ///Exception used by ArgParser
 		  class ArgParserException : public Exception {
 		  public:
 		    enum Reason {
 		      HELP,         /// <tt>--help</tt> option was given
 		      UNKNOWN_OPT,  /// Unknown option was given
 		      INVALID_OPT   /// Invalid combination of options
 		    };
 		  private:
 		    Reason _reason;
 		  public:
 		    ///Constructor
 		    ArgParserException(Reason r) throw() : _reason(r) {}
 		    ///Virtual destructor
 		    virtual ~ArgParserException() throw() {}
 		    ///A short description of the exception
 		    virtual const char* what() const throw() {
 		      switch(_reason)
+		        {
 		        case HELP:
 		          return "lemon::ArgParseException: ask for help";
 		          break;
 		        case UNKNOWN_OPT:
 		          return "lemon::ArgParseException: unknown option";
 		          break;
 		        case INVALID_OPT:
 		          return "lemon::ArgParseException: invalid combination of options";
 		          break;
+		        }
 		      return "";
+		    }
 		    ///Return the reason for the failure
 		    Reason reason() const {return _reason; }
 		  };
@@ -120,63 +120,63 @@
+		    {
 		    public:
 		      typedef std::list<std::string> Opts;
 		      Opts opts;
 		      bool only_one;
 		      bool mandatory;
 		      GroupData() :only_one(false), mandatory(false) {}
 		    };
 		    typedef std::map<std::string,GroupData> Groups;
 		    Groups _groups;
 		    struct OtherArg
+		    {
 		      std::string name;
 		      std::string help;
 		      OtherArg(std::string n, std::string h) :name(n), help(h) {}
 		    };
 		    std::vector<OtherArg> _others_help;
 		    std::vector<std::string> _file_args;
 		    std::string _command_name;
 		  private:
 		    //Bind a function to an option.
 		    //\param name The name of the option. The leading '-' must be omitted.
 		    //\param help A help string.
 		    //\retval func The function to be called when the option is given. It
 		    //  must be of type "void f(void *)"
 		    //\param data Data to be passed to \c func
 		    ArgParser &funcOption(const std::string &name,
 		                    const std::string &help,
 		                    void (*func)(void *),void *data);
 		    bool _exit_on_problems;
 		    void _terminate(ArgParserException::Reason reason) const;
 		  public:
 		    ///Constructor
 		    ArgParser(int argc, const char * const *argv);
 		    ~ArgParser();
 		    ///\name Options
 		    ///
 		    ///@{
 		    ///Add a new integer type option
 		    ///Add a new integer type option.
 		    ///\param name The name of the option. The leading '-' must be omitted.
 		    ///\param help A help string.
 		    ///\param value A default value for the option.
 		    ///\param obl Indicate if the option is mandatory.
 		    ArgParser &intOption(const std::string &name,
 		                    const std::string &help,
 		                    int value=0, bool obl=false);
@@ -402,32 +402,32 @@
 		                     std::string()+"Unkown option: '"+_name+"'");
 		        LEMON_ASSERT(i->second.type==ArgParser::INTEGER,
 		                     std::string()+"'"+_name+"' is an integer option");
 		        return *(i->second.int_p);
+		      }
 		    };
 		    ///Give back the value of an option
 		    ///Give back the value of an option.
 		    ///\sa RefType
 		    RefType operator[](const std::string &n) const
+		    {
 		      return RefType(*this, n);
+		    }
 		    ///Give back the non-option type arguments.
 		    ///Give back a reference to a vector consisting of the program arguments
 		    ///not starting with a '-' character.
 		    const std::vector<std::string> &files() const { return _file_args; }
 		    ///Throw instead of exit in case of problems
-		    void throwOnProblems()
 		    void throwOnProblems()
+		    {
 		      _exit_on_problems=false;
+		    }
 		  };
+		}
 		#endif // LEMON_ARG_PARSER_H

lemon/bellman_ford.h

Show inline comments

 		/* -*- C++ -*-
+		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library
+		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2008
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_BELLMAN_FORD_H
 		#define LEMON_BELLMAN_FORD_H
 		/// \ingroup shortest_path
 		/// \file
 		/// \brief Bellman-Ford algorithm.
 		#include <lemon/list_graph.h>
 		#include <lemon/bits/path_dump.h>
 		#include <lemon/core.h>
 		#include <lemon/error.h>
 		#include <lemon/maps.h>
 		#include <lemon/tolerance.h>
 		#include <lemon/path.h>
 		#include <limits>
 		namespace lemon {
 		  /// \brief Default operation traits for the BellmanFord algorithm class.
-		  ///
 		  ///
 		  /// This operation traits class defines all computational operations
 		  /// and constants that are used in the Bellman-Ford algorithm.
 		  /// The default implementation is based on the \c numeric_limits class.
 		  /// If the numeric type does not have infinity value, then the maximum
 		  /// value is used as extremal infinity value.
 		  ///
 		  /// \see BellmanFordToleranceOperationTraits
 		  template <
-		    typename V,
 		    typename V,
 		    bool has_inf = std::numeric_limits<V>::has_infinity>
 		  struct BellmanFordDefaultOperationTraits {
 		    /// \brief Value type for the algorithm.
 		    typedef V Value;
 		    /// \brief Gives back the zero value of the type.
 		    static Value zero() {
 		      return static_cast<Value>(0);
+		    }
 		    /// \brief Gives back the positive infinity value of the type.
 		    static Value infinity() {
 		      return std::numeric_limits<Value>::infinity();
+		    }
 		    /// \brief Gives back the sum of the given two elements.
 		    static Value plus(const Value& left, const Value& right) {
 		      return left + right;
+		    }
 		    /// \brief Gives back \c true only if the first value is less than
 		    /// the second.
 		    static bool less(const Value& left, const Value& right) {
 		      return left < right;
+		    }
 		  };
 		  template <typename V>
 		  struct BellmanFordDefaultOperationTraits<V, false> {
 		    typedef V Value;
 		    static Value zero() {
 		      return static_cast<Value>(0);
+		    }
 		    static Value infinity() {
 		      return std::numeric_limits<Value>::max();
+		    }
 		    static Value plus(const Value& left, const Value& right) {
 		      if (left == infinity() || right == infinity()) return infinity();
 		      return left + right;
+		    }
 		    static bool less(const Value& left, const Value& right) {
 		      return left < right;
+		    }
 		  };
 		  /// \brief Operation traits for the BellmanFord algorithm class
 		  /// using tolerance.
 		  ///
 		  /// This operation traits class defines all computational operations
 		  /// and constants that are used in the Bellman-Ford algorithm.
 		  /// The only difference between this implementation and
 		  /// \ref BellmanFordDefaultOperationTraits is that this class uses
 		  /// the \ref Tolerance "tolerance technique" in its \ref less()
 		  /// function.
 		  ///
 		  /// \tparam V The value type.
 		  /// \tparam eps The epsilon value for the \ref less() function.
 		  /// By default, it is the epsilon value used by \ref Tolerance
 		  /// "Tolerance<V>".
 		  ///
 		  /// \see BellmanFordDefaultOperationTraits
 		#ifdef DOXYGEN
 		  template <typename V, V eps>
 		#else
 		  template <
 		    typename V,
 		    V eps = Tolerance<V>::def_epsilon>
 		#endif
 		  struct BellmanFordToleranceOperationTraits {
@@ -118,1048 +118,1048 @@
 		      return static_cast<Value>(0);
+		    }
 		    /// \brief Gives back the positive infinity value of the type.
 		    static Value infinity() {
 		      return std::numeric_limits<Value>::infinity();
+		    }
 		    /// \brief Gives back the sum of the given two elements.
 		    static Value plus(const Value& left, const Value& right) {
 		      return left + right;
+		    }
 		    /// \brief Gives back \c true only if the first value is less than
 		    /// the second.
 		    static bool less(const Value& left, const Value& right) {
 		      return left + eps < right;
+		    }
 		  };
 		  /// \brief Default traits class of BellmanFord class.
 		  ///
 		  /// Default traits class of BellmanFord class.
 		  /// \param GR The type of the digraph.
 		  /// \param LEN The type of the length map.
 		  template<typename GR, typename LEN>
 		  struct BellmanFordDefaultTraits {
-		    /// The type of the digraph the algorithm runs on.
 		    /// The type of the digraph the algorithm runs on.
 		    typedef GR Digraph;
 		    /// \brief The type of the map that stores the arc lengths.
 		    ///
 		    /// The type of the map that stores the arc lengths.
 		    /// It must conform to the \ref concepts::ReadMap "ReadMap" concept.
 		    typedef LEN LengthMap;
 		    /// The type of the arc lengths.
 		    typedef typename LEN::Value Value;
 		    /// \brief Operation traits for Bellman-Ford algorithm.
 		    ///
 		    /// It defines the used operations and the infinity value for the
 		    /// given \c Value type.
 		    /// \see BellmanFordDefaultOperationTraits,
 		    /// BellmanFordToleranceOperationTraits
 		    typedef BellmanFordDefaultOperationTraits<Value> OperationTraits;
 		    /// \brief The type of the map that stores the last arcs of the
 		    /// \brief The type of the map that stores the last arcs of the
 		    /// shortest paths.
-		    ///
 		    ///
 		    /// The type of the map that stores the last
 		    /// arcs of the shortest paths.
 		    /// It must conform to the \ref concepts::WriteMap "WriteMap" concept.
 		    typedef typename GR::template NodeMap<typename GR::Arc> PredMap;
 		    /// \brief Instantiates a \c PredMap.
 		    ///
 		    /// This function instantiates a \ref PredMap.
 		    ///
 		    /// This function instantiates a \ref PredMap.
 		    /// \param g is the digraph to which we would like to define the
 		    /// \ref PredMap.
 		    static PredMap *createPredMap(const GR& g) {
 		      return new PredMap(g);
+		    }
 		    /// \brief The type of the map that stores the distances of the nodes.
 		    ///
 		    /// The type of the map that stores the distances of the nodes.
 		    /// It must conform to the \ref concepts::WriteMap "WriteMap" concept.
 		    typedef typename GR::template NodeMap<typename LEN::Value> DistMap;
 		    /// \brief Instantiates a \c DistMap.
 		    ///
 		    /// This function instantiates a \ref DistMap.
 		    /// \param g is the digraph to which we would like to define the
 		    /// This function instantiates a \ref DistMap.
 		    /// \param g is the digraph to which we would like to define the
 		    /// \ref DistMap.
 		    static DistMap *createDistMap(const GR& g) {
 		      return new DistMap(g);
+		    }
 		  };
 		  /// \brief %BellmanFord algorithm class.
 		  ///
 		  /// \ingroup shortest_path
-		  /// This class provides an efficient implementation of the Bellman-Ford
 		  /// This class provides an efficient implementation of the Bellman-Ford
 		  /// algorithm. The maximum time complexity of the algorithm is
 		  /// <tt>O(ne)</tt>.
 		  ///
 		  /// The Bellman-Ford algorithm solves the single-source shortest path
 		  /// problem when the arcs can have negative lengths, but the digraph
 		  /// should not contain directed cycles with negative total length.
 		  /// If all arc costs are non-negative, consider to use the Dijkstra
 		  /// algorithm instead, since it is more efficient.
 		  ///
 		  /// The arc lengths are passed to the algorithm using a
-		  /// \ref concepts::ReadMap "ReadMap", so it is easy to change it to any
 		  /// \ref concepts::ReadMap "ReadMap", so it is easy to change it to any
 		  /// kind of length. The type of the length values is determined by the
 		  /// \ref concepts::ReadMap::Value "Value" type of the length map.
 		  ///
 		  /// There is also a \ref bellmanFord() "function-type interface" for the
 		  /// Bellman-Ford algorithm, which is convenient in the simplier cases and
 		  /// it can be used easier.
 		  ///
 		  /// \tparam GR The type of the digraph the algorithm runs on.
 		  /// The default type is \ref ListDigraph.
 		  /// \tparam LEN A \ref concepts::ReadMap "readable" arc map that specifies
 		  /// the lengths of the arcs. The default map type is
 		  /// \ref concepts::Digraph::ArcMap "GR::ArcMap<int>".
 		  /// \tparam TR The traits class that defines various types used by the
 		  /// algorithm. By default, it is \ref BellmanFordDefaultTraits
 		  /// "BellmanFordDefaultTraits<GR, LEN>".
 		  /// In most cases, this parameter should not be set directly,
 		  /// consider to use the named template parameters instead.
 		#ifdef DOXYGEN
 		  template <typename GR, typename LEN, typename TR>
 		#else
 		  template <typename GR=ListDigraph,
 		            typename LEN=typename GR::template ArcMap<int>,
 		            typename TR=BellmanFordDefaultTraits<GR,LEN> >
 		#endif
 		  class BellmanFord {
 		  public:
 		    ///The type of the underlying digraph.
 		    typedef typename TR::Digraph Digraph;
 		    /// \brief The type of the arc lengths.
 		    typedef typename TR::LengthMap::Value Value;
 		    /// \brief The type of the map that stores the arc lengths.
 		    typedef typename TR::LengthMap LengthMap;
 		    /// \brief The type of the map that stores the last
 		    /// arcs of the shortest paths.
 		    typedef typename TR::PredMap PredMap;
 		    /// \brief The type of the map that stores the distances of the nodes.
 		    typedef typename TR::DistMap DistMap;
 		    /// The type of the paths.
 		    typedef PredMapPath<Digraph, PredMap> Path;
 		    ///\brief The \ref BellmanFordDefaultOperationTraits
 		    /// "operation traits class" of the algorithm.
 		    typedef typename TR::OperationTraits OperationTraits;
 		    ///The \ref BellmanFordDefaultTraits "traits class" of the algorithm.
 		    typedef TR Traits;
 		  private:
 		    typedef typename Digraph::Node Node;
 		    typedef typename Digraph::NodeIt NodeIt;
 		    typedef typename Digraph::Arc Arc;
 		    typedef typename Digraph::OutArcIt OutArcIt;
 		    // Pointer to the underlying digraph.
 		    const Digraph *_gr;
 		    // Pointer to the length map
 		    const LengthMap *_length;
 		    // Pointer to the map of predecessors arcs.
 		    PredMap *_pred;
 		    // Indicates if _pred is locally allocated (true) or not.
 		    bool _local_pred;
 		    // Pointer to the map of distances.
 		    DistMap *_dist;
 		    // Indicates if _dist is locally allocated (true) or not.
 		    bool _local_dist;
 		    typedef typename Digraph::template NodeMap<bool> MaskMap;
 		    MaskMap *_mask;
 		    std::vector<Node> _process;
 		    // Creates the maps if necessary.
 		    void create_maps() {
 		      if(!_pred) {
 			_local_pred = true;
 			_pred = Traits::createPredMap(*_gr);
 		        _local_pred = true;
 		        _pred = Traits::createPredMap(*_gr);
+		      }
 		      if(!_dist) {
 			_local_dist = true;
 			_dist = Traits::createDistMap(*_gr);
 		        _local_dist = true;
 		        _dist = Traits::createDistMap(*_gr);
+		      }
 		      if(!_mask) {
 		        _mask = new MaskMap(*_gr);
+		      }
+		    }
 		  public :
 		    typedef BellmanFord Create;
 		    /// \name Named Template Parameters
 		    ///@{
 		    template <class T>
 		    struct SetPredMapTraits : public Traits {
 		      typedef T PredMap;
 		      static PredMap *createPredMap(const Digraph&) {
 		        LEMON_ASSERT(false, "PredMap is not initialized");
 		        return 0; // ignore warnings
+		      }
 		    };
 		    /// \brief \ref named-templ-param "Named parameter" for setting
 		    /// \c PredMap type.
 		    ///
 		    /// \ref named-templ-param "Named parameter" for setting
 		    /// \c PredMap type.
 		    /// It must conform to the \ref concepts::WriteMap "WriteMap" concept.
 		    template <class T>
-		    struct SetPredMap
 		    struct SetPredMap
 		      : public BellmanFord< Digraph, LengthMap, SetPredMapTraits<T> > {
 		      typedef BellmanFord< Digraph, LengthMap, SetPredMapTraits<T> > Create;
 		    };
 		    template <class T>
 		    struct SetDistMapTraits : public Traits {
 		      typedef T DistMap;
 		      static DistMap *createDistMap(const Digraph&) {
 		        LEMON_ASSERT(false, "DistMap is not initialized");
 		        return 0; // ignore warnings
+		      }
 		    };
 		    /// \brief \ref named-templ-param "Named parameter" for setting
 		    /// \c DistMap type.
 		    ///
 		    /// \ref named-templ-param "Named parameter" for setting
 		    /// \c DistMap type.
 		    /// It must conform to the \ref concepts::WriteMap "WriteMap" concept.
 		    template <class T>
-		    struct SetDistMap
 		    struct SetDistMap
 		      : public BellmanFord< Digraph, LengthMap, SetDistMapTraits<T> > {
 		      typedef BellmanFord< Digraph, LengthMap, SetDistMapTraits<T> > Create;
 		    };
 		    template <class T>
 		    struct SetOperationTraitsTraits : public Traits {
 		      typedef T OperationTraits;
 		    };
 		    /// \brief \ref named-templ-param "Named parameter" for setting
 		    /// \brief \ref named-templ-param "Named parameter" for setting
 		    /// \c OperationTraits type.
 		    ///
 		    /// \ref named-templ-param "Named parameter" for setting
 		    /// \c OperationTraits type.
 		    /// For more information, see \ref BellmanFordDefaultOperationTraits.
 		    template <class T>
 		    struct SetOperationTraits
 		      : public BellmanFord< Digraph, LengthMap, SetOperationTraitsTraits<T> > {
 		      typedef BellmanFord< Digraph, LengthMap, SetOperationTraitsTraits<T> >
 		      Create;
 		    };
 		    ///@}
 		  protected:
 		    BellmanFord() {}
 		  public:
 		  public:
 		    /// \brief Constructor.
 		    ///
 		    /// Constructor.
 		    /// \param g The digraph the algorithm runs on.
 		    /// \param length The length map used by the algorithm.
 		    BellmanFord(const Digraph& g, const LengthMap& length) :
 		      _gr(&g), _length(&length),
 		      _pred(0), _local_pred(false),
 		      _dist(0), _local_dist(false), _mask(0) {}
 		    ///Destructor.
 		    ~BellmanFord() {
 		      if(_local_pred) delete _pred;
 		      if(_local_dist) delete _dist;
 		      if(_mask) delete _mask;
+		    }
 		    /// \brief Sets the length map.
 		    ///
 		    /// Sets the length map.
 		    /// \return <tt>(*this)</tt>
 		    BellmanFord &lengthMap(const LengthMap &map) {
 		      _length = &map;
 		      return *this;
+		    }
 		    /// \brief Sets the map that stores the predecessor arcs.
 		    ///
 		    /// Sets the map that stores the predecessor arcs.
 		    /// If you don't use this function before calling \ref run()
 		    /// or \ref init(), an instance will be allocated automatically.
 		    /// The destructor deallocates this automatically allocated map,
 		    /// of course.
 		    /// \return <tt>(*this)</tt>
 		    BellmanFord &predMap(PredMap &map) {
 		      if(_local_pred) {
 			delete _pred;
 			_local_pred=false;
 		        delete _pred;
 		        _local_pred=false;
+		      }
 		      _pred = &map;
 		      return *this;
+		    }
 		    /// \brief Sets the map that stores the distances of the nodes.
 		    ///
 		    /// Sets the map that stores the distances of the nodes calculated
 		    /// by the algorithm.
 		    /// If you don't use this function before calling \ref run()
 		    /// or \ref init(), an instance will be allocated automatically.
 		    /// The destructor deallocates this automatically allocated map,
 		    /// of course.
 		    /// \return <tt>(*this)</tt>
 		    BellmanFord &distMap(DistMap &map) {
 		      if(_local_dist) {
 			delete _dist;
 			_local_dist=false;
 		        delete _dist;
 		        _local_dist=false;
+		      }
 		      _dist = &map;
 		      return *this;
+		    }
 		    /// \name Execution Control
 		    /// The simplest way to execute the Bellman-Ford algorithm is to use
 		    /// one of the member functions called \ref run().\n
 		    /// If you need better control on the execution, you have to call
 		    /// \ref init() first, then you can add several source nodes
 		    /// with \ref addSource(). Finally the actual path computation can be
 		    /// performed with \ref start(), \ref checkedStart() or
 		    /// \ref limitedStart().
 		    ///@{
 		    /// \brief Initializes the internal data structures.
-		    ///
 		    ///
 		    /// Initializes the internal data structures. The optional parameter
 		    /// is the initial distance of each node.
 		    void init(const Value value = OperationTraits::infinity()) {
 		      create_maps();
 		      for (NodeIt it(*_gr); it != INVALID; ++it) {
 			_pred->set(it, INVALID);
 			_dist->set(it, value);
 		        _pred->set(it, INVALID);
 		        _dist->set(it, value);
+		      }
 		      _process.clear();
 		      if (OperationTraits::less(value, OperationTraits::infinity())) {
 			for (NodeIt it(*_gr); it != INVALID; ++it) {
 			  _process.push_back(it);
 			  _mask->set(it, true);
+			}
 		        for (NodeIt it(*_gr); it != INVALID; ++it) {
 		          _process.push_back(it);
 		          _mask->set(it, true);
+		        }
 		      } else {
 			for (NodeIt it(*_gr); it != INVALID; ++it) {
 			  _mask->set(it, false);
+			}
+		        for (NodeIt it(*_gr); it != INVALID; ++it) {
 		          _mask->set(it, false);
+		        }
+		      }
+		    }
 		    /// \brief Adds a new source node.
 		    ///
 		    /// This function adds a new source node. The optional second parameter
 		    /// is the initial distance of the node.
 		    void addSource(Node source, Value dst = OperationTraits::zero()) {
 		      _dist->set(source, dst);
 		      if (!(*_mask)[source]) {
 			_process.push_back(source);
 			_mask->set(source, true);
 		        _process.push_back(source);
 		        _mask->set(source, true);
+		      }
+		    }
 		    /// \brief Executes one round from the Bellman-Ford algorithm.
 		    ///
 		    /// If the algoritm calculated the distances in the previous round
 		    /// exactly for the paths of at most \c k arcs, then this function
 		    /// will calculate the distances exactly for the paths of at most
 		    /// <tt>k+1</tt> arcs. Performing \c k iterations using this function
 		    /// calculates the shortest path distances exactly for the paths
 		    /// consisting of at most \c k arcs.
 		    ///
 		    /// \warning The paths with limited arc number cannot be retrieved
 		    /// easily with \ref path() or \ref predArc() functions. If you also
 		    /// need the shortest paths and not only the distances, you should
 		    /// store the \ref predMap() "predecessor map" after each iteration
 		    /// and build the path manually.
 		    ///
 		    /// \return \c true when the algorithm have not found more shorter
 		    /// paths.
 		    ///
 		    /// \see ActiveIt
 		    bool processNextRound() {
 		      for (int i = 0; i < int(_process.size()); ++i) {
-			_mask->set(_process[i], false);
+		        _mask->set(_process[i], false);
+		      }
 		      std::vector<Node> nextProcess;
 		      std::vector<Value> values(_process.size());
 		      for (int i = 0; i < int(_process.size()); ++i) {
-			values[i] = (*_dist)[_process[i]];
+		        values[i] = (*_dist)[_process[i]];
+		      }
 		      for (int i = 0; i < int(_process.size()); ++i) {
 			for (OutArcIt it(*_gr, _process[i]); it != INVALID; ++it) {
 			  Node target = _gr->target(it);
 			  Value relaxed = OperationTraits::plus(values[i], (*_length)[it]);
 			  if (OperationTraits::less(relaxed, (*_dist)[target])) {
 			    _pred->set(target, it);
 			    _dist->set(target, relaxed);
 			    if (!(*_mask)[target]) {
 			      _mask->set(target, true);
 			      nextProcess.push_back(target);
+			    }
+			  }
+			}
 		        for (OutArcIt it(*_gr, _process[i]); it != INVALID; ++it) {
 		          Node target = _gr->target(it);
 		          Value relaxed = OperationTraits::plus(values[i], (*_length)[it]);
 		          if (OperationTraits::less(relaxed, (*_dist)[target])) {
 		            _pred->set(target, it);
 		            _dist->set(target, relaxed);
 		            if (!(*_mask)[target]) {
 		              _mask->set(target, true);
 		              nextProcess.push_back(target);
+		            }
+		          }
+		        }
+		      }
 		      _process.swap(nextProcess);
 		      return _process.empty();
+		    }
 		    /// \brief Executes one weak round from the Bellman-Ford algorithm.
 		    ///
 		    /// If the algorithm calculated the distances in the previous round
 		    /// at least for the paths of at most \c k arcs, then this function
 		    /// will calculate the distances at least for the paths of at most
 		    /// <tt>k+1</tt> arcs.
 		    /// This function does not make it possible to calculate the shortest
 		    /// path distances exactly for paths consisting of at most \c k arcs,
 		    /// this is why it is called weak round.
 		    ///
 		    /// \return \c true when the algorithm have not found more shorter
 		    /// paths.
 		    ///
 		    /// \see ActiveIt
 		    bool processNextWeakRound() {
 		      for (int i = 0; i < int(_process.size()); ++i) {
-			_mask->set(_process[i], false);
+		        _mask->set(_process[i], false);
+		      }
 		      std::vector<Node> nextProcess;
 		      for (int i = 0; i < int(_process.size()); ++i) {
 			for (OutArcIt it(*_gr, _process[i]); it != INVALID; ++it) {
 			  Node target = _gr->target(it);
 			  Value relaxed =
 			    OperationTraits::plus((*_dist)[_process[i]], (*_length)[it]);
 			  if (OperationTraits::less(relaxed, (*_dist)[target])) {
 			    _pred->set(target, it);
 			    _dist->set(target, relaxed);
 			    if (!(*_mask)[target]) {
 			      _mask->set(target, true);
 			      nextProcess.push_back(target);
+			    }
+			  }
+			}
+		        for (OutArcIt it(*_gr, _process[i]); it != INVALID; ++it) {
 		          Node target = _gr->target(it);
 		          Value relaxed =
 		            OperationTraits::plus((*_dist)[_process[i]], (*_length)[it]);
 		          if (OperationTraits::less(relaxed, (*_dist)[target])) {
 		            _pred->set(target, it);
 		            _dist->set(target, relaxed);
 		            if (!(*_mask)[target]) {
 		              _mask->set(target, true);
 		              nextProcess.push_back(target);
+		            }
+		          }
+		        }
+		      }
 		      _process.swap(nextProcess);
 		      return _process.empty();
+		    }
 		    /// \brief Executes the algorithm.
 		    ///
 		    /// Executes the algorithm.
 		    ///
 		    /// This method runs the Bellman-Ford algorithm from the root node(s)
 		    /// in order to compute the shortest path to each node.
 		    ///
 		    /// The algorithm computes
 		    /// - the shortest path tree (forest),
 		    /// - the distance of each node from the root(s).
 		    ///
 		    /// \pre init() must be called and at least one root node should be
 		    /// added with addSource() before using this function.
 		    void start() {
 		      int num = countNodes(*_gr) - 1;
 		      for (int i = 0; i < num; ++i) {
-			if (processNextWeakRound()) break;
+		        if (processNextWeakRound()) break;
+		      }
+		    }
 		    /// \brief Executes the algorithm and checks the negative cycles.
 		    ///
 		    /// Executes the algorithm and checks the negative cycles.
 		    ///
 		    /// This method runs the Bellman-Ford algorithm from the root node(s)
 		    /// in order to compute the shortest path to each node and also checks
 		    /// if the digraph contains cycles with negative total length.
 		    ///
-		    /// The algorithm computes
 		    /// The algorithm computes
 		    /// - the shortest path tree (forest),
 		    /// - the distance of each node from the root(s).
-		    ///
 		    ///
 		    /// \return \c false if there is a negative cycle in the digraph.
 		    ///
 		    /// \pre init() must be called and at least one root node should be
-		    /// added with addSource() before using this function.
 		    /// added with addSource() before using this function.
 		    bool checkedStart() {
 		      int num = countNodes(*_gr);
 		      for (int i = 0; i < num; ++i) {
-			if (processNextWeakRound()) return true;
+		        if (processNextWeakRound()) return true;
+		      }
 		      return _process.empty();
+		    }
 		    /// \brief Executes the algorithm with arc number limit.
 		    ///
 		    /// Executes the algorithm with arc number limit.
 		    ///
 		    /// This method runs the Bellman-Ford algorithm from the root node(s)
 		    /// in order to compute the shortest path distance for each node
 		    /// using only the paths consisting of at most \c num arcs.
 		    ///
 		    /// The algorithm computes
 		    /// - the limited distance of each node from the root(s),
 		    /// - the predecessor arc for each node.
 		    ///
 		    /// \warning The paths with limited arc number cannot be retrieved
 		    /// easily with \ref path() or \ref predArc() functions. If you also
 		    /// need the shortest paths and not only the distances, you should
 		    /// store the \ref predMap() "predecessor map" after each iteration
 		    /// and build the path manually.
 		    ///
 		    /// \pre init() must be called and at least one root node should be
-		    /// added with addSource() before using this function.
 		    /// added with addSource() before using this function.
 		    void limitedStart(int num) {
 		      for (int i = 0; i < num; ++i) {
-			if (processNextRound()) break;
+		        if (processNextRound()) break;
+		      }
+		    }
 		    /// \brief Runs the algorithm from the given root node.
-		    ///
 		    ///
 		    /// This method runs the Bellman-Ford algorithm from the given root
 		    /// node \c s in order to compute the shortest path to each node.
 		    ///
 		    /// The algorithm computes
 		    /// - the shortest path tree (forest),
 		    /// - the distance of each node from the root(s).
 		    ///
 		    /// \note bf.run(s) is just a shortcut of the following code.
 		    /// \code
 		    ///   bf.init();
 		    ///   bf.addSource(s);
 		    ///   bf.start();
 		    /// \endcode
 		    void run(Node s) {
 		      init();
 		      addSource(s);
 		      start();
+		    }
 		    /// \brief Runs the algorithm from the given root node with arc
 		    /// number limit.
-		    ///
 		    ///
 		    /// This method runs the Bellman-Ford algorithm from the given root
 		    /// node \c s in order to compute the shortest path distance for each
 		    /// node using only the paths consisting of at most \c num arcs.
 		    ///
 		    /// The algorithm computes
 		    /// - the limited distance of each node from the root(s),
 		    /// - the predecessor arc for each node.
 		    ///
 		    /// \warning The paths with limited arc number cannot be retrieved
 		    /// easily with \ref path() or \ref predArc() functions. If you also
 		    /// need the shortest paths and not only the distances, you should
 		    /// store the \ref predMap() "predecessor map" after each iteration
 		    /// and build the path manually.
 		    ///
 		    /// \note bf.run(s, num) is just a shortcut of the following code.
 		    /// \code
 		    ///   bf.init();
 		    ///   bf.addSource(s);
 		    ///   bf.limitedStart(num);
 		    /// \endcode
 		    void run(Node s, int num) {
 		      init();
 		      addSource(s);
 		      limitedStart(num);
+		    }
 		    ///@}
 		    /// \brief LEMON iterator for getting the active nodes.
 		    ///
 		    /// This class provides a common style LEMON iterator that traverses
 		    /// the active nodes of the Bellman-Ford algorithm after the last
 		    /// phase. These nodes should be checked in the next phase to
 		    /// find augmenting arcs outgoing from them.
 		    class ActiveIt {
 		    public:
 		      /// \brief Constructor.
 		      ///
 		      /// Constructor for getting the active nodes of the given BellmanFord
-		      /// instance.
 		      /// instance.
 		      ActiveIt(const BellmanFord& algorithm) : _algorithm(&algorithm)
+		      {
 		        _index = _algorithm->_process.size() - 1;
+		      }
 		      /// \brief Invalid constructor.
 		      ///
 		      /// Invalid constructor.
 		      ActiveIt(Invalid) : _algorithm(0), _index(-1) {}
 		      /// \brief Conversion to \c Node.
 		      ///
 		      /// Conversion to \c Node.
-		      operator Node() const {
 		      operator Node() const {
 		        return _index >= 0 ? _algorithm->_process[_index] : INVALID;
+		      }
 		      /// \brief Increment operator.
 		      ///
 		      /// Increment operator.
 		      ActiveIt& operator++() {
 		        --_index;
-		        return *this;
 		        return *this;
+		      }
 		      bool operator==(const ActiveIt& it) const {
 		        return static_cast<Node>(*this) == static_cast<Node>(it);
 		      bool operator==(const ActiveIt& it) const {
 		        return static_cast<Node>(*this) == static_cast<Node>(it);
+		      }
 		      bool operator!=(const ActiveIt& it) const {
 		        return static_cast<Node>(*this) != static_cast<Node>(it);
 		      bool operator!=(const ActiveIt& it) const {
 		        return static_cast<Node>(*this) != static_cast<Node>(it);
+		      }
 		      bool operator<(const ActiveIt& it) const {
 		        return static_cast<Node>(*this) < static_cast<Node>(it);
 		      bool operator<(const ActiveIt& it) const {
 		        return static_cast<Node>(*this) < static_cast<Node>(it);
+		      }
 		    private:
 		      const BellmanFord* _algorithm;
 		      int _index;
 		    };
 		    /// \name Query Functions
 		    /// The result of the Bellman-Ford algorithm can be obtained using these
 		    /// functions.\n
 		    /// Either \ref run() or \ref init() should be called before using them.
 		    ///@{
 		    /// \brief The shortest path to the given node.
-		    ///
 		    ///
 		    /// Gives back the shortest path to the given node from the root(s).
 		    ///
 		    /// \warning \c t should be reached from the root(s).
 		    ///
 		    /// \pre Either \ref run() or \ref init() must be called before
 		    /// using this function.
 		    Path path(Node t) const
+		    {
 		      return Path(*_gr, *_pred, t);
+		    }
 		    /// \brief The distance of the given node from the root(s).
 		    ///
 		    /// Returns the distance of the given node from the root(s).
 		    ///
 		    /// \warning If node \c v is not reached from the root(s), then
 		    /// the return value of this function is undefined.
 		    ///
 		    /// \pre Either \ref run() or \ref init() must be called before
 		    /// using this function.
 		    Value dist(Node v) const { return (*_dist)[v]; }
 		    /// \brief Returns the 'previous arc' of the shortest path tree for
 		    /// the given node.
 		    ///
 		    /// This function returns the 'previous arc' of the shortest path
 		    /// tree for node \c v, i.e. it returns the last arc of a
 		    /// shortest path from a root to \c v. It is \c INVALID if \c v
 		    /// is not reached from the root(s) or if \c v is a root.
 		    ///
 		    /// The shortest path tree used here is equal to the shortest path
 		    /// tree used in \ref predNode() and \ref predMap().
 		    ///
 		    /// \pre Either \ref run() or \ref init() must be called before
 		    /// using this function.
 		    Arc predArc(Node v) const { return (*_pred)[v]; }
 		    /// \brief Returns the 'previous node' of the shortest path tree for
 		    /// the given node.
 		    ///
 		    /// This function returns the 'previous node' of the shortest path
 		    /// tree for node \c v, i.e. it returns the last but one node of
 		    /// a shortest path from a root to \c v. It is \c INVALID if \c v
 		    /// is not reached from the root(s) or if \c v is a root.
 		    ///
 		    /// The shortest path tree used here is equal to the shortest path
 		    /// tree used in \ref predArc() and \ref predMap().
 		    ///
 		    /// \pre Either \ref run() or \ref init() must be called before
 		    /// using this function.
 		    Node predNode(Node v) const {
 		      return (*_pred)[v] == INVALID ? INVALID : _gr->source((*_pred)[v]);
 		    Node predNode(Node v) const {
 		      return (*_pred)[v] == INVALID ? INVALID : _gr->source((*_pred)[v]);
+		    }
 		    /// \brief Returns a const reference to the node map that stores the
 		    /// distances of the nodes.
 		    ///
 		    /// Returns a const reference to the node map that stores the distances
 		    /// of the nodes calculated by the algorithm.
 		    ///
 		    /// \pre Either \ref run() or \ref init() must be called before
 		    /// using this function.
 		    const DistMap &distMap() const { return *_dist;}
 		    /// \brief Returns a const reference to the node map that stores the
 		    /// predecessor arcs.
 		    ///
 		    /// Returns a const reference to the node map that stores the predecessor
 		    /// arcs, which form the shortest path tree (forest).
 		    ///
 		    /// \pre Either \ref run() or \ref init() must be called before
 		    /// using this function.
 		    const PredMap &predMap() const { return *_pred; }
 		    /// \brief Checks if a node is reached from the root(s).
 		    ///
 		    /// Returns \c true if \c v is reached from the root(s).
 		    ///
 		    /// \pre Either \ref run() or \ref init() must be called before
 		    /// using this function.
 		    bool reached(Node v) const {
 		      return (*_dist)[v] != OperationTraits::infinity();
+		    }
 		    /// \brief Gives back a negative cycle.
-		    ///
 		    ///
 		    /// This function gives back a directed cycle with negative total
 		    /// length if the algorithm has already found one.
 		    /// Otherwise it gives back an empty path.
 		    lemon::Path<Digraph> negativeCycle() const {
 		      typename Digraph::template NodeMap<int> state(*_gr, -1);
 		      lemon::Path<Digraph> cycle;
 		      for (int i = 0; i < int(_process.size()); ++i) {
 		        if (state[_process[i]] != -1) continue;
 		        for (Node v = _process[i]; (*_pred)[v] != INVALID;
 		             v = _gr->source((*_pred)[v])) {
 		          if (state[v] == i) {
 		            cycle.addFront((*_pred)[v]);
 		            for (Node u = _gr->source((*_pred)[v]); u != v;
 		                 u = _gr->source((*_pred)[u])) {
 		              cycle.addFront((*_pred)[u]);
+		            }
 		            return cycle;
+		          }
 		          else if (state[v] >= 0) {
 		            break;
+		          }
 		          state[v] = i;
+		        }
+		      }
 		      return cycle;
+		    }
 		    ///@}
 		  };
 		  /// \brief Default traits class of bellmanFord() function.
 		  ///
 		  /// Default traits class of bellmanFord() function.
 		  /// \tparam GR The type of the digraph.
 		  /// \tparam LEN The type of the length map.
 		  template <typename GR, typename LEN>
 		  struct BellmanFordWizardDefaultTraits {
-		    /// The type of the digraph the algorithm runs on.
 		    /// The type of the digraph the algorithm runs on.
 		    typedef GR Digraph;
 		    /// \brief The type of the map that stores the arc lengths.
 		    ///
 		    /// The type of the map that stores the arc lengths.
 		    /// It must meet the \ref concepts::ReadMap "ReadMap" concept.
 		    typedef LEN LengthMap;
 		    /// The type of the arc lengths.
 		    typedef typename LEN::Value Value;
 		    /// \brief Operation traits for Bellman-Ford algorithm.
 		    ///
 		    /// It defines the used operations and the infinity value for the
 		    /// given \c Value type.
 		    /// \see BellmanFordDefaultOperationTraits,
 		    /// BellmanFordToleranceOperationTraits
 		    typedef BellmanFordDefaultOperationTraits<Value> OperationTraits;
 		    /// \brief The type of the map that stores the last
 		    /// arcs of the shortest paths.
-		    ///
 		    ///
 		    /// The type of the map that stores the last arcs of the shortest paths.
 		    /// It must conform to the \ref concepts::WriteMap "WriteMap" concept.
 		    typedef typename GR::template NodeMap<typename GR::Arc> PredMap;
 		    /// \brief Instantiates a \c PredMap.
-		    ///
 		    ///
 		    /// This function instantiates a \ref PredMap.
 		    /// \param g is the digraph to which we would like to define the
 		    /// \ref PredMap.
 		    static PredMap *createPredMap(const GR &g) {
 		      return new PredMap(g);
+		    }
 		    /// \brief The type of the map that stores the distances of the nodes.
 		    ///
 		    /// The type of the map that stores the distances of the nodes.
 		    /// It must conform to the \ref concepts::WriteMap "WriteMap" concept.
 		    typedef typename GR::template NodeMap<Value> DistMap;
 		    /// \brief Instantiates a \c DistMap.
 		    ///
-		    /// This function instantiates a \ref DistMap.
 		    /// This function instantiates a \ref DistMap.
 		    /// \param g is the digraph to which we would like to define the
 		    /// \ref DistMap.
 		    static DistMap *createDistMap(const GR &g) {
 		      return new DistMap(g);
+		    }
 		    ///The type of the shortest paths.
 		    ///The type of the shortest paths.
 		    ///It must meet the \ref concepts::Path "Path" concept.
 		    typedef lemon::Path<Digraph> Path;
 		  };
 		  /// \brief Default traits class used by BellmanFordWizard.
 		  ///
 		  /// Default traits class used by BellmanFordWizard.
 		  /// \tparam GR The type of the digraph.
 		  /// \tparam LEN The type of the length map.
 		  template <typename GR, typename LEN>
-		  class BellmanFordWizardBase
 		  class BellmanFordWizardBase
 		    : public BellmanFordWizardDefaultTraits<GR, LEN> {
 		    typedef BellmanFordWizardDefaultTraits<GR, LEN> Base;
 		  protected:
 		    // Type of the nodes in the digraph.
 		    typedef typename Base::Digraph::Node Node;
 		    // Pointer to the underlying digraph.
 		    void *_graph;
 		    // Pointer to the length map
 		    void *_length;
 		    // Pointer to the map of predecessors arcs.
 		    void *_pred;
 		    // Pointer to the map of distances.
 		    void *_dist;
 		    //Pointer to the shortest path to the target node.
 		    void *_path;
 		    //Pointer to the distance of the target node.
 		    void *_di;
 		    public:
 		    /// Constructor.
 		    /// This constructor does not require parameters, it initiates
 		    /// all of the attributes to default values \c 0.
 		    BellmanFordWizardBase() :
 		      _graph(0), _length(0), _pred(0), _dist(0), _path(0), _di(0) {}
 		    /// Constructor.
 		    /// This constructor requires two parameters,
 		    /// others are initiated to \c 0.
 		    /// \param gr The digraph the algorithm runs on.
 		    /// \param len The length map.
 		    BellmanFordWizardBase(const GR& gr,
 					  const LEN& len) :
 		      _graph(reinterpret_cast<void*>(const_cast<GR*>(&gr))),
 		      _length(reinterpret_cast<void*>(const_cast<LEN*>(&len))),
 		    BellmanFordWizardBase(const GR& gr,
 		                          const LEN& len) :
 		      _graph(reinterpret_cast<void*>(const_cast<GR*>(&gr))),
 		      _length(reinterpret_cast<void*>(const_cast<LEN*>(&len))),
 		      _pred(0), _dist(0), _path(0), _di(0) {}
 		  };
 		  /// \brief Auxiliary class for the function-type interface of the
 		  /// \ref BellmanFord "Bellman-Ford" algorithm.
 		  ///
 		  /// This auxiliary class is created to implement the
 		  /// \ref bellmanFord() "function-type interface" of the
 		  /// \ref BellmanFord "Bellman-Ford" algorithm.
 		  /// It does not have own \ref run() method, it uses the
 		  /// functions and features of the plain \ref BellmanFord.
 		  ///
 		  /// This class should only be used through the \ref bellmanFord()
 		  /// function, which makes it easier to use the algorithm.
 		  ///
 		  /// \tparam TR The traits class that defines various types used by the
 		  /// algorithm.
 		  template<class TR>
 		  class BellmanFordWizard : public TR {
 		    typedef TR Base;
 		    typedef typename TR::Digraph Digraph;
 		    typedef typename Digraph::Node Node;
 		    typedef typename Digraph::NodeIt NodeIt;
 		    typedef typename Digraph::Arc Arc;
 		    typedef typename Digraph::OutArcIt ArcIt;
 		    typedef typename TR::LengthMap LengthMap;
 		    typedef typename LengthMap::Value Value;
 		    typedef typename TR::PredMap PredMap;
 		    typedef typename TR::DistMap DistMap;
 		    typedef typename TR::Path Path;
 		  public:
 		    /// Constructor.
 		    BellmanFordWizard() : TR() {}
 		    /// \brief Constructor that requires parameters.
 		    ///
 		    /// Constructor that requires parameters.
 		    /// These parameters will be the default values for the traits class.
 		    /// \param gr The digraph the algorithm runs on.
 		    /// \param len The length map.
-		    BellmanFordWizard(const Digraph& gr, const LengthMap& len)
 		    BellmanFordWizard(const Digraph& gr, const LengthMap& len)
 		      : TR(gr, len) {}
 		    /// \brief Copy constructor
 		    BellmanFordWizard(const TR &b) : TR(b) {}
 		    ~BellmanFordWizard() {}
 		    /// \brief Runs the Bellman-Ford algorithm from the given source node.
-		    ///
 		    ///
 		    /// This method runs the Bellman-Ford algorithm from the given source
 		    /// node in order to compute the shortest path to each node.
 		    void run(Node s) {
 		      BellmanFord<Digraph,LengthMap,TR>
 			bf(*reinterpret_cast<const Digraph*>(Base::_graph),
 		      BellmanFord<Digraph,LengthMap,TR>
 		        bf(*reinterpret_cast<const Digraph*>(Base::_graph),
 		           *reinterpret_cast<const LengthMap*>(Base::_length));
 		      if (Base::_pred) bf.predMap(*reinterpret_cast<PredMap*>(Base::_pred));
 		      if (Base::_dist) bf.distMap(*reinterpret_cast<DistMap*>(Base::_dist));
 		      bf.run(s);
+		    }
 		    /// \brief Runs the Bellman-Ford algorithm to find the shortest path
 		    /// between \c s and \c t.
 		    ///
 		    /// This method runs the Bellman-Ford algorithm from node \c s
 		    /// in order to compute the shortest path to node \c t.
 		    /// Actually, it computes the shortest path to each node, but using
 		    /// this function you can retrieve the distance and the shortest path
 		    /// for a single target node easier.
 		    ///
 		    /// \return \c true if \c t is reachable form \c s.
 		    bool run(Node s, Node t) {
 		      BellmanFord<Digraph,LengthMap,TR>
 		        bf(*reinterpret_cast<const Digraph*>(Base::_graph),
 		           *reinterpret_cast<const LengthMap*>(Base::_length));
 		      if (Base::_pred) bf.predMap(*reinterpret_cast<PredMap*>(Base::_pred));
 		      if (Base::_dist) bf.distMap(*reinterpret_cast<DistMap*>(Base::_dist));
 		      bf.run(s);
 		      if (Base::_path) *reinterpret_cast<Path*>(Base::_path) = bf.path(t);
 		      if (Base::_di) *reinterpret_cast<Value*>(Base::_di) = bf.dist(t);
 		      return bf.reached(t);
+		    }
 		    template<class T>
 		    struct SetPredMapBase : public Base {
 		      typedef T PredMap;
 		      static PredMap *createPredMap(const Digraph &) { return 0; };
 		      SetPredMapBase(const TR &b) : TR(b) {}
 		    };
 		    /// \brief \ref named-templ-param "Named parameter" for setting
 		    /// the predecessor map.
 		    ///
 		    /// \ref named-templ-param "Named parameter" for setting
 		    /// the map that stores the predecessor arcs of the nodes.
 		    template<class T>
 		    BellmanFordWizard<SetPredMapBase<T> > predMap(const T &t) {
 		      Base::_pred=reinterpret_cast<void*>(const_cast<T*>(&t));
 		      return BellmanFordWizard<SetPredMapBase<T> >(*this);
+		    }
 		    template<class T>
 		    struct SetDistMapBase : public Base {
 		      typedef T DistMap;
 		      static DistMap *createDistMap(const Digraph &) { return 0; };
 		      SetDistMapBase(const TR &b) : TR(b) {}
 		    };
 		    /// \brief \ref named-templ-param "Named parameter" for setting
 		    /// the distance map.
 		    ///
 		    /// \ref named-templ-param "Named parameter" for setting
 		    /// the map that stores the distances of the nodes calculated
 		    /// by the algorithm.
 		    template<class T>
 		    BellmanFordWizard<SetDistMapBase<T> > distMap(const T &t) {
 		      Base::_dist=reinterpret_cast<void*>(const_cast<T*>(&t));
 		      return BellmanFordWizard<SetDistMapBase<T> >(*this);
+		    }
 		    template<class T>
 		    struct SetPathBase : public Base {
 		      typedef T Path;
 		      SetPathBase(const TR &b) : TR(b) {}
 		    };
 		    /// \brief \ref named-func-param "Named parameter" for getting
 		    /// the shortest path to the target node.
 		    ///
 		    /// \ref named-func-param "Named parameter" for getting
 		    /// the shortest path to the target node.
 		    template<class T>
 		    BellmanFordWizard<SetPathBase<T> > path(const T &t)
+		    {
 		      Base::_path=reinterpret_cast<void*>(const_cast<T*>(&t));
 		      return BellmanFordWizard<SetPathBase<T> >(*this);
+		    }
 		    /// \brief \ref named-func-param "Named parameter" for getting
 		    /// the distance of the target node.
 		    ///
 		    /// \ref named-func-param "Named parameter" for getting
 		    /// the distance of the target node.
 		    BellmanFordWizard dist(const Value &d)
+		    {
 		      Base::_di=reinterpret_cast<void*>(const_cast<Value*>(&d));
 		      return *this;
+		    }
 		  };
 		  /// \brief Function type interface for the \ref BellmanFord "Bellman-Ford"
 		  /// algorithm.
 		  ///
 		  /// \ingroup shortest_path
 		  /// Function type interface for the \ref BellmanFord "Bellman-Ford"
 		  /// algorithm.
 		  ///
 		  /// This function also has several \ref named-templ-func-param
 		  /// "named parameters", they are declared as the members of class
 		  /// This function also has several \ref named-templ-func-param
 		  /// "named parameters", they are declared as the members of class
 		  /// \ref BellmanFordWizard.
 		  /// The following examples show how to use these parameters.
 		  /// \code
 		  ///   // Compute shortest path from node s to each node
 		  ///   bellmanFord(g,length).predMap(preds).distMap(dists).run(s);
 		  ///
 		  ///   // Compute shortest path from s to t
 		  ///   bool reached = bellmanFord(g,length).path(p).dist(d).run(s,t);
 		  /// \endcode
 		  /// \warning Don't forget to put the \ref BellmanFordWizard::run() "run()"
 		  /// to the end of the parameter list.
 		  /// \sa BellmanFordWizard
 		  /// \sa BellmanFord
 		  template<typename GR, typename LEN>
 		  BellmanFordWizard<BellmanFordWizardBase<GR,LEN> >
 		  bellmanFord(const GR& digraph,
-			      const LEN& length)
+		              const LEN& length)
+		  {
 		    return BellmanFordWizard<BellmanFordWizardBase<GR,LEN> >(digraph, length);
+		  }
 		} //END OF NAMESPACE LEMON
 		#endif

lemon/bfs.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_BFS_H
 		#define LEMON_BFS_H
 		///\ingroup search
 		///\file
 		///\brief BFS algorithm.
 		#include <lemon/list_graph.h>
 		#include <lemon/bits/path_dump.h>
 		#include <lemon/core.h>
 		#include <lemon/error.h>
@@ -61,49 +61,50 @@
 		    ///The type of the map that indicates which nodes are processed.
 		    ///The type of the map that indicates which nodes are processed.
 		    ///It must conform to the \ref concepts::WriteMap "WriteMap" concept.
 		    ///By default, it is a NullMap.
 		    typedef NullMap<typename Digraph::Node,bool> ProcessedMap;
 		    ///Instantiates a \c ProcessedMap.
 		    ///This function instantiates a \ref ProcessedMap.
 		    ///\param g is the digraph, to which
 		    ///we would like to define the \ref ProcessedMap
 		#ifdef DOXYGEN
 		    static ProcessedMap *createProcessedMap(const Digraph &g)
 		#else
 		    static ProcessedMap *createProcessedMap(const Digraph &)
 		#endif
+		    {
 		      return new ProcessedMap();
+		    }
 		    ///The type of the map that indicates which nodes are reached.
 		    ///The type of the map that indicates which nodes are reached.
-		    ///It must conform to the \ref concepts::ReadWriteMap "ReadWriteMap" concept.
 		    ///It must conform to
 		    ///the \ref concepts::ReadWriteMap "ReadWriteMap" concept.
 		    typedef typename Digraph::template NodeMap<bool> ReachedMap;
 		    ///Instantiates a \c ReachedMap.
 		    ///This function instantiates a \ref ReachedMap.
 		    ///\param g is the digraph, to which
 		    ///we would like to define the \ref ReachedMap.
 		    static ReachedMap *createReachedMap(const Digraph &g)
+		    {
 		      return new ReachedMap(g);
+		    }
 		    ///The type of the map that stores the distances of the nodes.
 		    ///The type of the map that stores the distances of the nodes.
 		    ///It must conform to the \ref concepts::WriteMap "WriteMap" concept.
 		    typedef typename Digraph::template NodeMap<int> DistMap;
 		    ///Instantiates a \c DistMap.
 		    ///This function instantiates a \ref DistMap.
 		    ///\param g is the digraph, to which we would like to define the
 		    ///\ref DistMap.
 		    static DistMap *createDistMap(const Digraph &g)
+		    {
 		      return new DistMap(g);
@@ -250,49 +251,50 @@
 		    ///\c DistMap type.
 		    ///
 		    ///\ref named-templ-param "Named parameter" for setting
 		    ///\c DistMap type.
 		    ///It must conform to the \ref concepts::WriteMap "WriteMap" concept.
 		    template <class T>
 		    struct SetDistMap : public Bfs< Digraph, SetDistMapTraits<T> > {
 		      typedef Bfs< Digraph, SetDistMapTraits<T> > Create;
 		    };
 		    template <class T>
 		    struct SetReachedMapTraits : public Traits {
 		      typedef T ReachedMap;
 		      static ReachedMap *createReachedMap(const Digraph &)
+		      {
 		        LEMON_ASSERT(false, "ReachedMap is not initialized");
 		        return 0; // ignore warnings
+		      }
 		    };
 		    ///\brief \ref named-templ-param "Named parameter" for setting
 		    ///\c ReachedMap type.
 		    ///
 		    ///\ref named-templ-param "Named parameter" for setting
 		    ///\c ReachedMap type.
-		    ///It must conform to the \ref concepts::ReadWriteMap "ReadWriteMap" concept.
 		    ///It must conform to
 		    ///the \ref concepts::ReadWriteMap "ReadWriteMap" concept.
 		    template <class T>
 		    struct SetReachedMap : public Bfs< Digraph, SetReachedMapTraits<T> > {
 		      typedef Bfs< Digraph, SetReachedMapTraits<T> > Create;
 		    };
 		    template <class T>
 		    struct SetProcessedMapTraits : public Traits {
 		      typedef T ProcessedMap;
 		      static ProcessedMap *createProcessedMap(const Digraph &)
+		      {
 		        LEMON_ASSERT(false, "ProcessedMap is not initialized");
 		        return 0; // ignore warnings
+		      }
 		    };
 		    ///\brief \ref named-templ-param "Named parameter" for setting
 		    ///\c ProcessedMap type.
 		    ///
 		    ///\ref named-templ-param "Named parameter" for setting
 		    ///\c ProcessedMap type.
 		    ///It must conform to the \ref concepts::WriteMap "WriteMap" concept.
 		    template <class T>
 		    struct SetProcessedMap : public Bfs< Digraph, SetProcessedMapTraits<T> > {
 		      typedef Bfs< Digraph, SetProcessedMapTraits<T> > Create;
 		    };
@@ -851,49 +853,50 @@
 		    ///The type of the map that indicates which nodes are processed.
 		    ///The type of the map that indicates which nodes are processed.
 		    ///It must conform to the \ref concepts::WriteMap "WriteMap" concept.
 		    ///By default, it is a NullMap.
 		    typedef NullMap<typename Digraph::Node,bool> ProcessedMap;
 		    ///Instantiates a ProcessedMap.
 		    ///This function instantiates a ProcessedMap.
 		    ///\param g is the digraph, to which
 		    ///we would like to define the ProcessedMap.
 		#ifdef DOXYGEN
 		    static ProcessedMap *createProcessedMap(const Digraph &g)
 		#else
 		    static ProcessedMap *createProcessedMap(const Digraph &)
 		#endif
+		    {
 		      return new ProcessedMap();
+		    }
 		    ///The type of the map that indicates which nodes are reached.
 		    ///The type of the map that indicates which nodes are reached.
-		    ///It must conform to the \ref concepts::ReadWriteMap "ReadWriteMap" concept.
 		    ///It must conform to
 		    ///the \ref concepts::ReadWriteMap "ReadWriteMap" concept.
 		    typedef typename Digraph::template NodeMap<bool> ReachedMap;
 		    ///Instantiates a ReachedMap.
 		    ///This function instantiates a ReachedMap.
 		    ///\param g is the digraph, to which
 		    ///we would like to define the ReachedMap.
 		    static ReachedMap *createReachedMap(const Digraph &g)
+		    {
 		      return new ReachedMap(g);
+		    }
 		    ///The type of the map that stores the distances of the nodes.
 		    ///The type of the map that stores the distances of the nodes.
 		    ///It must conform to the \ref concepts::WriteMap "WriteMap" concept.
 		    typedef typename Digraph::template NodeMap<int> DistMap;
 		    ///Instantiates a DistMap.
 		    ///This function instantiates a DistMap.
 		    ///\param g is the digraph, to which we would like to define
 		    ///the DistMap
 		    static DistMap *createDistMap(const Digraph &g)
+		    {
 		      return new DistMap(g);
@@ -1244,49 +1247,50 @@
 		        visitor.start(node);
 		        visitor.reach(node);
 		        visitor.process(node);
 		        visitor.discover(arc);
 		        visitor.examine(arc);
+		      }
 		      _Visitor& visitor;
 		    };
 		  };
 		#endif
 		  /// \brief Default traits class of BfsVisit class.
 		  ///
 		  /// Default traits class of BfsVisit class.
 		  /// \tparam GR The type of the digraph the algorithm runs on.
 		  template<class GR>
 		  struct BfsVisitDefaultTraits {
 		    /// \brief The type of the digraph the algorithm runs on.
 		    typedef GR Digraph;
 		    /// \brief The type of the map that indicates which nodes are reached.
 		    ///
 		    /// The type of the map that indicates which nodes are reached.
-		    /// It must conform to the \ref concepts::ReadWriteMap "ReadWriteMap" concept.
 		    /// It must conform to
 		    ///the \ref concepts::ReadWriteMap "ReadWriteMap" concept.
 		    typedef typename Digraph::template NodeMap<bool> ReachedMap;
 		    /// \brief Instantiates a ReachedMap.
 		    ///
 		    /// This function instantiates a ReachedMap.
 		    /// \param digraph is the digraph, to which
 		    /// we would like to define the ReachedMap.
 		    static ReachedMap *createReachedMap(const Digraph &digraph) {
 		      return new ReachedMap(digraph);
+		    }
 		  };
 		  /// \ingroup search
 		  ///
 		  /// \brief BFS algorithm class with visitor interface.
 		  ///
 		  /// This class provides an efficient implementation of the BFS algorithm
 		  /// with visitor interface.
 		  ///
 		  /// The BfsVisit class provides an alternative interface to the Bfs
 		  /// class. It works with callback mechanism, the BfsVisit object calls
 		  /// the member functions of the \c Visitor class on every BFS event.
 		  ///

lemon/binomial_heap.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_BINOMIAL_HEAP_H
 		#define LEMON_BINOMIAL_HEAP_H
 		///\file
 		///\ingroup heaps
 		///\brief Binomial Heap implementation.
 		#include <vector>
 		#include <utility>
 		#include <functional>
 		#include <lemon/math.h>
@@ -237,49 +237,49 @@
 		    /// \brief Remove the given item from the heap.
 		    ///
 		    /// This function removes the given item from the heap if it is
 		    /// already stored.
 		    /// \param item The item to delete.
 		    /// \pre \e item must be in the heap.
 		    void erase (const Item& item) {
 		      int i=_iim[item];
 		      if ( i >= 0 && _data[i].in ) {
 		        decrease( item, _data[_min].prio-1 );
 		        pop();
+		      }
+		    }
 		    /// \brief Decrease the priority of an item to the given value.
 		    ///
 		    /// This function decreases the priority of an item to the given value.
 		    /// \param item The item.
 		    /// \param value The priority.
 		    /// \pre \e item must be stored in the heap with priority at least \e value.
 		    void decrease (Item item, const Prio& value) {
 		      int i=_iim[item];
 		      int p=_data[i].parent;
 		      _data[i].prio=value;
 		      while( p!=-1 && _comp(value, _data[p].prio) ) {
 		        _data[i].name=_data[p].name;
 		        _data[i].prio=_data[p].prio;
 		        _data[p].name=item;
 		        _data[p].prio=value;
 		        _iim[_data[i].name]=i;
 		        i=p;
 		        p=_data[p].parent;
+		      }
 		      _iim[item]=i;
 		      if ( _comp(value, _data[_min].prio) ) _min=i;
+		    }
 		    /// \brief Increase the priority of an item to the given value.
 		    ///
 		    /// This function increases the priority of an item to the given value.
 		    /// \param item The item.
 		    /// \param value The priority.
 		    /// \pre \e item must be stored in the heap with priority at most \e value.
 		    void increase (Item item, const Prio& value) {
 		      erase(item);
 		      push(item, value);
+		    }
@@ -301,124 +301,124 @@
+		    }
 		    /// \brief Set the state of an item in the heap.
 		    ///
 		    /// This function sets the state of the given item in the heap.
 		    /// It can be used to manually clear the heap when it is important
 		    /// to achive better time complexity.
 		    /// \param i The item.
 		    /// \param st The state. It should not be \c IN_HEAP.
 		    void state(const Item& i, State st) {
 		      switch (st) {
 		      case POST_HEAP:
 		      case PRE_HEAP:
 		        if (state(i) == IN_HEAP) {
 		          erase(i);
+		        }
 		        _iim[i] = st;
 		        break;
 		      case IN_HEAP:
 		        break;
+		      }
+		    }
 		  private:
 		    // Find the minimum of the roots
 		    int findMin() {
 		      if( _head!=-1 ) {
 		        int min_loc=_head, min_val=_data[_head].prio;
 		        for( int x=_data[_head].right_neighbor; x!=-1;
 		             x=_data[x].right_neighbor ) {
 		          if( _comp( _data[x].prio,min_val ) ) {
 		            min_val=_data[x].prio;
 		            min_loc=x;
+		          }
+		        }
 		        return min_loc;
+		      }
 		      else return -1;
+		    }
 		    // Merge the heap with another heap starting at the given position
 		    void merge(int a) {
 		      if( _head==-1 || a==-1 ) return;
 		      if( _data[a].right_neighbor==-1 &&
 		          _data[a].degree<=_data[_head].degree ) {
 		        _data[a].right_neighbor=_head;
 		        _head=a;
 		      } else {
 		        interleave(a);
+		      }
 		      if( _data[_head].right_neighbor==-1 ) return;
 		      int x=_head;
 		      int x_prev=-1, x_next=_data[x].right_neighbor;
 		      while( x_next!=-1 ) {
 		        if( _data[x].degree!=_data[x_next].degree ||
 		            ( _data[x_next].right_neighbor!=-1 &&
 		              _data[_data[x_next].right_neighbor].degree==_data[x].degree ) ) {
 		          x_prev=x;
 		          x=x_next;
+		        }
 		        else {
 		          if( _comp(_data[x_next].prio,_data[x].prio) ) {
 		            if( x_prev==-1 ) {
 		              _head=x_next;
 		            } else {
 		              _data[x_prev].right_neighbor=x_next;
+		            }
 		            fuse(x,x_next);
 		            x=x_next;
+		          }
 		          else {
 		            _data[x].right_neighbor=_data[x_next].right_neighbor;
 		            fuse(x_next,x);
+		          }
+		        }
 		        x_next=_data[x].right_neighbor;
+		      }
+		    }
 		    // Interleave the elements of the given list into the list of the roots
 		    void interleave(int a) {
 		      int p=_head, q=a;
 		      int curr=_data.size();
 		      _data.push_back(Store());
 		      while( p!=-1 || q!=-1 ) {
 		        if( q==-1 || ( p!=-1 && _data[p].degree<_data[q].degree ) ) {
 		          _data[curr].right_neighbor=p;
 		          curr=p;
 		          p=_data[p].right_neighbor;
+		        }
 		        else {
 		          _data[curr].right_neighbor=q;
 		          curr=q;
 		          q=_data[q].right_neighbor;
+		        }
+		      }
 		      _head=_data.back().right_neighbor;
 		      _data.pop_back();
+		    }
 		    // Lace node a under node b
 		    void fuse(int a, int b) {
 		      _data[a].parent=b;
 		      _data[a].right_neighbor=_data[b].child;
 		      _data[b].child=a;
 		      ++_data[b].degree;
+		    }
 		    // Unlace node a (if it has siblings)
 		    void unlace(int a) {
 		      int neighb=_data[a].right_neighbor;
 		      int other=_head;
 		      while( _data[other].right_neighbor!=a )
 		        other=_data[other].right_neighbor;
 		      _data[other].right_neighbor=neighb;
+		    }
 		  private:

lemon/bits/array_map.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_BITS_ARRAY_MAP_H
 		#define LEMON_BITS_ARRAY_MAP_H
 		#include <memory>
 		#include <lemon/bits/traits.h>
 		#include <lemon/bits/alteration_notifier.h>
 		#include <lemon/concept_check.h>
 		#include <lemon/concepts/maps.h>
 		// \ingroup graphbits
@@ -49,49 +49,49 @@
 		    // The graph type.
 		    typedef _Graph GraphType;
 		    // The item type.
 		    typedef _Item Item;
 		    // The reference map tag.
 		    typedef True ReferenceMapTag;
 		    // The key type of the map.
 		    typedef _Item Key;
 		    // The value type of the map.
 		    typedef _Value Value;
 		    // The const reference type of the map.
 		    typedef const _Value& ConstReference;
 		    // The reference type of the map.
 		    typedef _Value& Reference;
 		    // The map type.
 		    typedef ArrayMap Map;
 		    // The notifier type.
 		    typedef typename ItemSetTraits<_Graph, _Item>::ItemNotifier Notifier;
 		  private:
 		    // The MapBase of the Map which imlements the core regisitry function.
 		    typedef typename Notifier::ObserverBase Parent;
 		    typedef std::allocator<Value> Allocator;
 		  public:
 		    // \brief Graph initialized map constructor.
 		    //
 		    // Graph initialized map constructor.
 		    explicit ArrayMap(const GraphType& graph) {
 		      Parent::attach(graph.notifier(Item()));
 		      allocate_memory();
 		      Notifier* nf = Parent::notifier();
 		      Item it;
 		      for (nf->first(it); it != INVALID; nf->next(it)) {
 		        int id = nf->id(it);;
 		        allocator.construct(&(values[id]), Value());
+		      }
+		    }
 		    // \brief Constructor to use default value to initialize the map.
 		    //
 		    // It constructs a map and initialize all of the the map.

lemon/bits/default_map.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_BITS_DEFAULT_MAP_H
 		#define LEMON_BITS_DEFAULT_MAP_H
 		#include <lemon/config.h>
 		#include <lemon/bits/array_map.h>
 		#include <lemon/bits/vector_map.h>
 		//#include <lemon/bits/debug_map.h>
 		//\ingroup graphbits
 		//\file
 		//\brief Graph maps that construct and destruct their elements dynamically.
@@ -136,47 +136,47 @@
 		  // pointer
 		  template <typename _Graph, typename _Item, typename _Ptr>
 		  struct DefaultMapSelector<_Graph, _Item, _Ptr*> {
 		    typedef VectorMap<_Graph, _Item, _Ptr*> Map;
 		  };
 		// #else
 		//   template <typename _Graph, typename _Item, typename _Value>
 		//   struct DefaultMapSelector {
 		//     typedef DebugMap<_Graph, _Item, _Value> Map;
 		//   };
 		// #endif
 		  // DefaultMap class
 		  template <typename _Graph, typename _Item, typename _Value>
 		  class DefaultMap
 		    : public DefaultMapSelector<_Graph, _Item, _Value>::Map {
 		    typedef typename DefaultMapSelector<_Graph, _Item, _Value>::Map Parent;
 		  public:
 		    typedef DefaultMap<_Graph, _Item, _Value> Map;
 		    typedef typename Parent::GraphType GraphType;
 		    typedef typename Parent::Value Value;
 		    explicit DefaultMap(const GraphType& graph) : Parent(graph) {}
 		    DefaultMap(const GraphType& graph, const Value& value)
 		      : Parent(graph, value) {}
 		    DefaultMap& operator=(const DefaultMap& cmap) {
 		      return operator=<DefaultMap>(cmap);
+		    }
 		    template <typename CMap>
 		    DefaultMap& operator=(const CMap& cmap) {
 		      Parent::operator=(cmap);
 		      return *this;
+		    }
 		  };
+		}
 		#endif

lemon/bits/edge_set_extender.h

Show inline comments

 		/* -*- C++ -*-
+		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library
+		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2008
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_BITS_EDGE_SET_EXTENDER_H
 		#define LEMON_BITS_EDGE_SET_EXTENDER_H
 		#include <lemon/core.h>
 		#include <lemon/error.h>
 		#include <lemon/bits/default_map.h>
 		#include <lemon/bits/map_extender.h>
 		//\ingroup digraphbits
 		//\file
 		//\brief Extenders for the arc set types
@@ -42,233 +42,233 @@
 		    // Base extensions
 		    typedef typename Parent::Node Node;
 		    typedef typename Parent::Arc Arc;
 		    int maxId(Node) const {
 		      return Parent::maxNodeId();
+		    }
 		    int maxId(Arc) const {
 		      return Parent::maxArcId();
+		    }
 		    Node fromId(int id, Node) const {
 		      return Parent::nodeFromId(id);
+		    }
 		    Arc fromId(int id, Arc) const {
 		      return Parent::arcFromId(id);
+		    }
 		    Node oppositeNode(const Node &n, const Arc &e) const {
 		      if (n == Parent::source(e))
-			return Parent::target(e);
+		        return Parent::target(e);
 		      else if(n==Parent::target(e))
-			return Parent::source(e);
+		        return Parent::source(e);
 		      else
-			return INVALID;
+		        return INVALID;
+		    }
 		    // Alteration notifier extensions
 		    // The arc observer registry.
 		    typedef AlterationNotifier<ArcSetExtender, Arc> ArcNotifier;
 		  protected:
 		    mutable ArcNotifier arc_notifier;
 		  public:
 		    using Parent::notifier;
 		    // Gives back the arc alteration notifier.
 		    ArcNotifier& notifier(Arc) const {
 		      return arc_notifier;
+		    }
 		    // Iterable extensions
-		    class NodeIt : public Node {
 		    class NodeIt : public Node {
 		      const Digraph* digraph;
 		    public:
 		      NodeIt() {}
 		      NodeIt(Invalid i) : Node(i) { }
 		      explicit NodeIt(const Digraph& _graph) : digraph(&_graph) {
-			_graph.first(static_cast<Node&>(*this));
+		        _graph.first(static_cast<Node&>(*this));
+		      }
 		      NodeIt(const Digraph& _graph, const Node& node)
 			: Node(node), digraph(&_graph) {}
 		      NodeIt(const Digraph& _graph, const Node& node)
 		        : Node(node), digraph(&_graph) {}
 		      NodeIt& operator++() {
 			digraph->next(*this);
-			return *this;
+		      NodeIt& operator++() {
 		        digraph->next(*this);
 		        return *this;
+		      }
 		    };
-		    class ArcIt : public Arc {
 		    class ArcIt : public Arc {
 		      const Digraph* digraph;
 		    public:
 		      ArcIt() { }
 		      ArcIt(Invalid i) : Arc(i) { }
 		      explicit ArcIt(const Digraph& _graph) : digraph(&_graph) {
-			_graph.first(static_cast<Arc&>(*this));
+		        _graph.first(static_cast<Arc&>(*this));
+		      }
 		      ArcIt(const Digraph& _graph, const Arc& e) :
 			Arc(e), digraph(&_graph) { }
 		      ArcIt(const Digraph& _graph, const Arc& e) :
 		        Arc(e), digraph(&_graph) { }
 		      ArcIt& operator++() {
 			digraph->next(*this);
-			return *this;
+		      ArcIt& operator++() {
 		        digraph->next(*this);
 		        return *this;
+		      }
 		    };
-		    class OutArcIt : public Arc {
 		    class OutArcIt : public Arc {
 		      const Digraph* digraph;
 		    public:
 		      OutArcIt() { }
 		      OutArcIt(Invalid i) : Arc(i) { }
 		      OutArcIt(const Digraph& _graph, const Node& node)
 			: digraph(&_graph) {
-			_graph.firstOut(*this, node);
+		      OutArcIt(const Digraph& _graph, const Node& node)
 		        : digraph(&_graph) {
 		        _graph.firstOut(*this, node);
+		      }
 		      OutArcIt(const Digraph& _graph, const Arc& arc)
 			: Arc(arc), digraph(&_graph) {}
 		      OutArcIt(const Digraph& _graph, const Arc& arc)
 		        : Arc(arc), digraph(&_graph) {}
 		      OutArcIt& operator++() {
 			digraph->nextOut(*this);
-			return *this;
+		      OutArcIt& operator++() {
 		        digraph->nextOut(*this);
 		        return *this;
+		      }
 		    };
-		    class InArcIt : public Arc {
 		    class InArcIt : public Arc {
 		      const Digraph* digraph;
 		    public:
 		      InArcIt() { }
 		      InArcIt(Invalid i) : Arc(i) { }
 		      InArcIt(const Digraph& _graph, const Node& node)
 			: digraph(&_graph) {
-			_graph.firstIn(*this, node);
+		      InArcIt(const Digraph& _graph, const Node& node)
 		        : digraph(&_graph) {
 		        _graph.firstIn(*this, node);
+		      }
 		      InArcIt(const Digraph& _graph, const Arc& arc) :
 			Arc(arc), digraph(&_graph) {}
 		      InArcIt(const Digraph& _graph, const Arc& arc) :
 		        Arc(arc), digraph(&_graph) {}
 		      InArcIt& operator++() {
 			digraph->nextIn(*this);
-			return *this;
+		      InArcIt& operator++() {
 		        digraph->nextIn(*this);
 		        return *this;
+		      }
 		    };
 		    // \brief Base node of the iterator
 		    //
 		    // Returns the base node (ie. the source in this case) of the iterator
 		    Node baseNode(const OutArcIt &e) const {
 		      return Parent::source(static_cast<const Arc&>(e));
+		    }
 		    // \brief Running node of the iterator
 		    //
 		    // Returns the running node (ie. the target in this case) of the
 		    // iterator
 		    Node runningNode(const OutArcIt &e) const {
 		      return Parent::target(static_cast<const Arc&>(e));
+		    }
 		    // \brief Base node of the iterator
 		    //
 		    // Returns the base node (ie. the target in this case) of the iterator
 		    Node baseNode(const InArcIt &e) const {
 		      return Parent::target(static_cast<const Arc&>(e));
+		    }
 		    // \brief Running node of the iterator
 		    //
 		    // Returns the running node (ie. the source in this case) of the
 		    // iterator
 		    Node runningNode(const InArcIt &e) const {
 		      return Parent::source(static_cast<const Arc&>(e));
+		    }
 		    using Parent::first;
 		    // Mappable extension
 		    template <typename _Value>
-		    class ArcMap
 		    class ArcMap
 		      : public MapExtender<DefaultMap<Digraph, Arc, _Value> > {
 		      typedef MapExtender<DefaultMap<Digraph, Arc, _Value> > Parent;
 		    public:
 		      explicit ArcMap(const Digraph& _g)
 			: Parent(_g) {}
 		      ArcMap(const Digraph& _g, const _Value& _v)
 			: Parent(_g, _v) {}
 		      explicit ArcMap(const Digraph& _g)
 		        : Parent(_g) {}
 		      ArcMap(const Digraph& _g, const _Value& _v)
 		        : Parent(_g, _v) {}
 		      ArcMap& operator=(const ArcMap& cmap) {
-			return operator=<ArcMap>(cmap);
+		        return operator=<ArcMap>(cmap);
+		      }
 		      template <typename CMap>
 		      ArcMap& operator=(const CMap& cmap) {
 		        Parent::operator=(cmap);
-			return *this;
+		        return *this;
+		      }
 		    };
 		    // Alteration extension
 		    Arc addArc(const Node& from, const Node& to) {
 		      Arc arc = Parent::addArc(from, to);
 		      notifier(Arc()).add(arc);
 		      return arc;
+		    }
 		    void clear() {
 		      notifier(Arc()).clear();
 		      Parent::clear();
+		    }
 		    void erase(const Arc& arc) {
 		      notifier(Arc()).erase(arc);
 		      Parent::erase(arc);
+		    }
 		    ArcSetExtender() {
 		      arc_notifier.setContainer(*this);
+		    }
 		    ~ArcSetExtender() {
 		      arc_notifier.clear();
+		    }
 		  };
 		  // \ingroup digraphbits
 		  //
 		  // \brief Extender for the EdgeSets
@@ -289,337 +289,337 @@
+		    }
 		    int maxId(Arc) const {
 		      return Parent::maxArcId();
+		    }
 		    int maxId(Edge) const {
 		      return Parent::maxEdgeId();
+		    }
 		    Node fromId(int id, Node) const {
 		      return Parent::nodeFromId(id);
+		    }
 		    Arc fromId(int id, Arc) const {
 		      return Parent::arcFromId(id);
+		    }
 		    Edge fromId(int id, Edge) const {
 		      return Parent::edgeFromId(id);
+		    }
 		    Node oppositeNode(const Node &n, const Edge &e) const {
 		      if( n == Parent::u(e))
-			return Parent::v(e);
+		        return Parent::v(e);
 		      else if( n == Parent::v(e))
-			return Parent::u(e);
+		        return Parent::u(e);
 		      else
-			return INVALID;
+		        return INVALID;
+		    }
 		    Arc oppositeArc(const Arc &e) const {
 		      return Parent::direct(e, !Parent::direction(e));
+		    }
 		    using Parent::direct;
 		    Arc direct(const Edge &e, const Node &s) const {
 		      return Parent::direct(e, Parent::u(e) == s);
+		    }
 		    typedef AlterationNotifier<EdgeSetExtender, Arc> ArcNotifier;
 		    typedef AlterationNotifier<EdgeSetExtender, Edge> EdgeNotifier;
 		  protected:
 		    mutable ArcNotifier arc_notifier;
 		    mutable EdgeNotifier edge_notifier;
 		  public:
 		    using Parent::notifier;
 		    ArcNotifier& notifier(Arc) const {
 		      return arc_notifier;
+		    }
 		    EdgeNotifier& notifier(Edge) const {
 		      return edge_notifier;
+		    }
-		    class NodeIt : public Node {
 		    class NodeIt : public Node {
 		      const Graph* graph;
 		    public:
 		      NodeIt() {}
 		      NodeIt(Invalid i) : Node(i) { }
 		      explicit NodeIt(const Graph& _graph) : graph(&_graph) {
-			_graph.first(static_cast<Node&>(*this));
+		        _graph.first(static_cast<Node&>(*this));
+		      }
 		      NodeIt(const Graph& _graph, const Node& node)
 			: Node(node), graph(&_graph) {}
 		      NodeIt(const Graph& _graph, const Node& node)
 		        : Node(node), graph(&_graph) {}
 		      NodeIt& operator++() {
 			graph->next(*this);
-			return *this;
+		      NodeIt& operator++() {
 		        graph->next(*this);
 		        return *this;
+		      }
 		    };
-		    class ArcIt : public Arc {
 		    class ArcIt : public Arc {
 		      const Graph* graph;
 		    public:
 		      ArcIt() { }
 		      ArcIt(Invalid i) : Arc(i) { }
 		      explicit ArcIt(const Graph& _graph) : graph(&_graph) {
-			_graph.first(static_cast<Arc&>(*this));
+		        _graph.first(static_cast<Arc&>(*this));
+		      }
 		      ArcIt(const Graph& _graph, const Arc& e) :
 			Arc(e), graph(&_graph) { }
 		      ArcIt(const Graph& _graph, const Arc& e) :
 		        Arc(e), graph(&_graph) { }
 		      ArcIt& operator++() {
 			graph->next(*this);
-			return *this;
+		      ArcIt& operator++() {
 		        graph->next(*this);
 		        return *this;
+		      }
 		    };
-		    class OutArcIt : public Arc {
 		    class OutArcIt : public Arc {
 		      const Graph* graph;
 		    public:
 		      OutArcIt() { }
 		      OutArcIt(Invalid i) : Arc(i) { }
 		      OutArcIt(const Graph& _graph, const Node& node)
 			: graph(&_graph) {
-			_graph.firstOut(*this, node);
+		      OutArcIt(const Graph& _graph, const Node& node)
 		        : graph(&_graph) {
 		        _graph.firstOut(*this, node);
+		      }
 		      OutArcIt(const Graph& _graph, const Arc& arc)
 			: Arc(arc), graph(&_graph) {}
 		      OutArcIt(const Graph& _graph, const Arc& arc)
 		        : Arc(arc), graph(&_graph) {}
 		      OutArcIt& operator++() {
 			graph->nextOut(*this);
-			return *this;
+		      OutArcIt& operator++() {
 		        graph->nextOut(*this);
 		        return *this;
+		      }
 		    };
-		    class InArcIt : public Arc {
 		    class InArcIt : public Arc {
 		      const Graph* graph;
 		    public:
 		      InArcIt() { }
 		      InArcIt(Invalid i) : Arc(i) { }
 		      InArcIt(const Graph& _graph, const Node& node)
 			: graph(&_graph) {
-			_graph.firstIn(*this, node);
+		      InArcIt(const Graph& _graph, const Node& node)
 		        : graph(&_graph) {
 		        _graph.firstIn(*this, node);
+		      }
 		      InArcIt(const Graph& _graph, const Arc& arc) :
 			Arc(arc), graph(&_graph) {}
 		      InArcIt(const Graph& _graph, const Arc& arc) :
 		        Arc(arc), graph(&_graph) {}
 		      InArcIt& operator++() {
 			graph->nextIn(*this);
-			return *this;
+		      InArcIt& operator++() {
 		        graph->nextIn(*this);
 		        return *this;
+		      }
 		    };
-		    class EdgeIt : public Parent::Edge {
 		    class EdgeIt : public Parent::Edge {
 		      const Graph* graph;
 		    public:
 		      EdgeIt() { }
 		      EdgeIt(Invalid i) : Edge(i) { }
 		      explicit EdgeIt(const Graph& _graph) : graph(&_graph) {
-			_graph.first(static_cast<Edge&>(*this));
+		        _graph.first(static_cast<Edge&>(*this));
+		      }
 		      EdgeIt(const Graph& _graph, const Edge& e) :
 			Edge(e), graph(&_graph) { }
 		      EdgeIt(const Graph& _graph, const Edge& e) :
 		        Edge(e), graph(&_graph) { }
 		      EdgeIt& operator++() {
 			graph->next(*this);
-			return *this;
+		      EdgeIt& operator++() {
 		        graph->next(*this);
 		        return *this;
+		      }
 		    };
 		    class IncEdgeIt : public Parent::Edge {
 		      friend class EdgeSetExtender;
 		      const Graph* graph;
 		      bool direction;
 		    public:
 		      IncEdgeIt() { }
 		      IncEdgeIt(Invalid i) : Edge(i), direction(false) { }
 		      IncEdgeIt(const Graph& _graph, const Node &n) : graph(&_graph) {
-			_graph.firstInc(*this, direction, n);
+		        _graph.firstInc(*this, direction, n);
+		      }
 		      IncEdgeIt(const Graph& _graph, const Edge &ue, const Node &n)
 			: graph(&_graph), Edge(ue) {
 			direction = (_graph.source(ue) == n);
 		        : graph(&_graph), Edge(ue) {
 		        direction = (_graph.source(ue) == n);
+		      }
 		      IncEdgeIt& operator++() {
 			graph->nextInc(*this, direction);
 			return *this;
 		        graph->nextInc(*this, direction);
 		        return *this;
+		      }
 		    };
 		    // \brief Base node of the iterator
 		    //
 		    // Returns the base node (ie. the source in this case) of the iterator
 		    Node baseNode(const OutArcIt &e) const {
 		      return Parent::source(static_cast<const Arc&>(e));
+		    }
 		    // \brief Running node of the iterator
 		    //
 		    // Returns the running node (ie. the target in this case) of the
 		    // iterator
 		    Node runningNode(const OutArcIt &e) const {
 		      return Parent::target(static_cast<const Arc&>(e));
+		    }
 		    // \brief Base node of the iterator
 		    //
 		    // Returns the base node (ie. the target in this case) of the iterator
 		    Node baseNode(const InArcIt &e) const {
 		      return Parent::target(static_cast<const Arc&>(e));
+		    }
 		    // \brief Running node of the iterator
 		    //
 		    // Returns the running node (ie. the source in this case) of the
 		    // iterator
 		    Node runningNode(const InArcIt &e) const {
 		      return Parent::source(static_cast<const Arc&>(e));
+		    }
 		    // Base node of the iterator
 		    //
 		    // Returns the base node of the iterator
 		    Node baseNode(const IncEdgeIt &e) const {
 		      return e.direction ? u(e) : v(e);
+		    }
 		    // Running node of the iterator
 		    //
 		    // Returns the running node of the iterator
 		    Node runningNode(const IncEdgeIt &e) const {
 		      return e.direction ? v(e) : u(e);
+		    }
 		    template <typename _Value>
-		    class ArcMap
 		    class ArcMap
 		      : public MapExtender<DefaultMap<Graph, Arc, _Value> > {
 		      typedef MapExtender<DefaultMap<Graph, Arc, _Value> > Parent;
 		    public:
 		      explicit ArcMap(const Graph& _g)
 			: Parent(_g) {}
 		      ArcMap(const Graph& _g, const _Value& _v)
 			: Parent(_g, _v) {}
 		      explicit ArcMap(const Graph& _g)
 		        : Parent(_g) {}
 		      ArcMap(const Graph& _g, const _Value& _v)
 		        : Parent(_g, _v) {}
 		      ArcMap& operator=(const ArcMap& cmap) {
-			return operator=<ArcMap>(cmap);
+		        return operator=<ArcMap>(cmap);
+		      }
 		      template <typename CMap>
 		      ArcMap& operator=(const CMap& cmap) {
 		        Parent::operator=(cmap);
-			return *this;
+		        return *this;
+		      }
 		    };
 		    template <typename _Value>
-		    class EdgeMap
 		    class EdgeMap
 		      : public MapExtender<DefaultMap<Graph, Edge, _Value> > {
 		      typedef MapExtender<DefaultMap<Graph, Edge, _Value> > Parent;
 		    public:
 		      explicit EdgeMap(const Graph& _g)
 			: Parent(_g) {}
 		      explicit EdgeMap(const Graph& _g)
 		        : Parent(_g) {}
 		      EdgeMap(const Graph& _g, const _Value& _v)
 			: Parent(_g, _v) {}
 		      EdgeMap(const Graph& _g, const _Value& _v)
 		        : Parent(_g, _v) {}
 		      EdgeMap& operator=(const EdgeMap& cmap) {
-			return operator=<EdgeMap>(cmap);
+		        return operator=<EdgeMap>(cmap);
+		      }
 		      template <typename CMap>
 		      EdgeMap& operator=(const CMap& cmap) {
 		        Parent::operator=(cmap);
-			return *this;
+		        return *this;
+		      }
 		    };
 		    // Alteration extension
 		    Edge addEdge(const Node& from, const Node& to) {
 		      Edge edge = Parent::addEdge(from, to);
 		      notifier(Edge()).add(edge);
 		      std::vector<Arc> arcs;
 		      arcs.push_back(Parent::direct(edge, true));
 		      arcs.push_back(Parent::direct(edge, false));
 		      notifier(Arc()).add(arcs);
 		      return edge;
+		    }
 		    void clear() {
 		      notifier(Arc()).clear();
 		      notifier(Edge()).clear();
 		      Parent::clear();
+		    }
 		    void erase(const Edge& edge) {
 		      std::vector<Arc> arcs;
 		      arcs.push_back(Parent::direct(edge, true));
 		      arcs.push_back(Parent::direct(edge, false));
 		      notifier(Arc()).erase(arcs);
 		      notifier(Edge()).erase(edge);
 		      Parent::erase(edge);
+		    }
 		    EdgeSetExtender() {
 		      arc_notifier.setContainer(*this);
 		      edge_notifier.setContainer(*this);
+		    }
 		    ~EdgeSetExtender() {
 		      edge_notifier.clear();
 		      arc_notifier.clear();
+		    }
 		  };
+		}
 		#endif

lemon/bits/solver_bits.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2008
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_BITS_SOLVER_BITS_H
 		#define LEMON_BITS_SOLVER_BITS_H
 		#include <vector>
 		namespace lemon {
 		  namespace _solver_bits {
 		    class VarIndex {
 		    private:

lemon/bits/windows.cc

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		///\file
 		///\brief Some basic non-inline functions and static global data.
 		#include<lemon/bits/windows.h>
 		#ifdef WIN32
 		#ifndef WIN32_LEAN_AND_MEAN
 		#define WIN32_LEAN_AND_MEAN
 		#endif
 		#ifndef NOMINMAX
 		#define NOMINMAX
@@ -75,49 +75,49 @@
 		        cstime = 0;
+		      }
 		#else
 		      timeval tv;
 		      gettimeofday(&tv, 0);
 		      rtime=tv.tv_sec+double(tv.tv_usec)/1e6;
 		      tms ts;
 		      double tck=sysconf(_SC_CLK_TCK);
 		      times(&ts);
 		      utime=ts.tms_utime/tck;
 		      stime=ts.tms_stime/tck;
 		      cutime=ts.tms_cutime/tck;
 		      cstime=ts.tms_cstime/tck;
 		#endif
+		    }
 		    std::string getWinFormattedDate()
+		    {
 		      std::ostringstream os;
 		#ifdef WIN32
 		      SYSTEMTIME time;
 		      GetSystemTime(&time);
 		      char buf1[11], buf2[9], buf3[5];
-			  if (GetDateFormat(MY_LOCALE, 0, &time,
+		          if (GetDateFormat(MY_LOCALE, 0, &time,
 		                        ("ddd MMM dd"), buf1, 11) &&
 		          GetTimeFormat(MY_LOCALE, 0, &time,
 		                        ("HH':'mm':'ss"), buf2, 9) &&
 		          GetDateFormat(MY_LOCALE, 0, &time,
 		                        ("yyyy"), buf3, 5)) {
 		        os << buf1 << ' ' << buf2 << ' ' << buf3;
+		      }
 		      else os << "unknown";
 		#else
 		      timeval tv;
 		      gettimeofday(&tv, 0);
 		      char cbuf[26];
 		      ctime_r(&tv.tv_sec,cbuf);
 		      os << cbuf;
 		#endif
 		      return os.str();
+		    }
 		    int getWinRndSeed()
+		    {
 		#ifdef WIN32
 		      FILETIME time;
 		      GetSystemTimeAsFileTime(&time);

lemon/bucket_heap.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_BUCKET_HEAP_H
 		#define LEMON_BUCKET_HEAP_H
 		///\ingroup heaps
 		///\file
 		///\brief Bucket heap implementation.
 		#include <vector>
 		#include <utility>
 		#include <functional>
@@ -363,49 +363,49 @@
 		      int prev, next;
 		    };
 		    ItemIntMap& _iim;
 		    std::vector<int> _first;
 		    std::vector<BucketItem> _data;
 		    mutable int _minimum;
 		  }; // class BucketHeap
 		  /// \ingroup heaps
 		  ///
 		  /// \brief Simplified bucket heap data structure.
 		  ///
 		  /// This class implements a simplified \e bucket \e heap data
 		  /// structure. It does not provide some functionality, but it is
 		  /// faster and simpler than BucketHeap. The main difference is
 		  /// that BucketHeap stores a doubly-linked list for each key while
 		  /// this class stores only simply-linked lists. It supports erasing
 		  /// only for the item having minimum priority and it does not support
 		  /// key increasing and decreasing.
 		  ///
 		  /// Note that this implementation does not conform to the
-		  /// \ref concepts::Heap "heap concept" due to the lack of some
 		  /// \ref concepts::Heap "heap concept" due to the lack of some
 		  /// functionality.
 		  ///
 		  /// \tparam IM A read-writable item map with \c int values, used
 		  /// internally to handle the cross references.
 		  /// \tparam MIN Indicate if the heap is a \e min-heap or a \e max-heap.
 		  /// The default is \e min-heap. If this parameter is set to \c false,
 		  /// then the comparison is reversed, so the top(), prio() and pop()
 		  /// functions deal with the item having maximum priority instead of the
 		  /// minimum.
 		  ///
 		  /// \sa BucketHeap
 		  template <typename IM, bool MIN = true >
 		  class SimpleBucketHeap {
 		  public:
 		    /// Type of the item-int map.
 		    typedef IM ItemIntMap;
 		    /// Type of the priorities.
 		    typedef int Prio;
 		    /// Type of the items stored in the heap.
 		    typedef typename ItemIntMap::Key Item;
 		    /// Type of the item-priority pairs.
 		    typedef std::pair<Item,Prio> Pair;

lemon/capacity_scaling.h

Show inline comments

 		/* -*- C++ -*-
+		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library
+		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2008
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_CAPACITY_SCALING_H
 		#define LEMON_CAPACITY_SCALING_H
 		/// \ingroup min_cost_flow_algs
 		///
 		/// \file
 		/// \brief Capacity Scaling algorithm for finding a minimum cost flow.
 		#include <vector>
 		#include <limits>
 		#include <lemon/core.h>
@@ -112,49 +112,49 @@
 		    /// The \ref CapacityScalingDefaultTraits "traits class" of the algorithm
 		    typedef TR Traits;
 		  public:
 		    /// \brief Problem type constants for the \c run() function.
 		    ///
 		    /// Enum type containing the problem type constants that can be
 		    /// returned by the \ref run() function of the algorithm.
 		    enum ProblemType {
 		      /// The problem has no feasible solution (flow).
 		      INFEASIBLE,
 		      /// The problem has optimal solution (i.e. it is feasible and
 		      /// bounded), and the algorithm has found optimal flow and node
 		      /// potentials (primal and dual solutions).
 		      OPTIMAL,
 		      /// The digraph contains an arc of negative cost and infinite
 		      /// upper bound. It means that the objective function is unbounded
 		      /// on that arc, however, note that it could actually be bounded
 		      /// over the feasible flows, but this algroithm cannot handle
 		      /// these cases.
 		      UNBOUNDED
 		    };
 		  private:
 		    TEMPLATE_DIGRAPH_TYPEDEFS(GR);
 		    typedef std::vector<int> IntVector;
 		    typedef std::vector<Value> ValueVector;
 		    typedef std::vector<Cost> CostVector;
 		    typedef std::vector<char> BoolVector;
 		    // Note: vector<char> is used instead of vector<bool> for efficiency reasons
 		  private:
 		    // Data related to the underlying digraph
 		    const GR &_graph;
 		    int _node_num;
 		    int _arc_num;
 		    int _res_arc_num;
 		    int _root;
 		    // Parameters of the problem
 		    bool _have_lower;
 		    Value _sum_supply;
 		    // Data structures for storing the digraph
@@ -163,79 +163,79 @@
 		    IntArcMap _arc_idb;
 		    IntVector _first_out;
 		    BoolVector _forward;
 		    IntVector _source;
 		    IntVector _target;
 		    IntVector _reverse;
 		    // Node and arc data
 		    ValueVector _lower;
 		    ValueVector _upper;
 		    CostVector _cost;
 		    ValueVector _supply;
 		    ValueVector _res_cap;
 		    CostVector _pi;
 		    ValueVector _excess;
 		    IntVector _excess_nodes;
 		    IntVector _deficit_nodes;
 		    Value _delta;
 		    int _factor;
 		    IntVector _pred;
 		  public:
 		    /// \brief Constant for infinite upper bounds (capacities).
 		    ///
 		    /// Constant for infinite upper bounds (capacities).
 		    /// It is \c std::numeric_limits<Value>::infinity() if available,
 		    /// \c std::numeric_limits<Value>::max() otherwise.
 		    const Value INF;
 		  private:
 		    // Special implementation of the Dijkstra algorithm for finding
 		    // shortest paths in the residual network of the digraph with
 		    // respect to the reduced arc costs and modifying the node
 		    // potentials according to the found distance labels.
 		    class ResidualDijkstra
+		    {
 		    private:
 		      int _node_num;
 		      bool _geq;
 		      const IntVector &_first_out;
 		      const IntVector &_target;
 		      const CostVector &_cost;
 		      const ValueVector &_res_cap;
 		      const ValueVector &_excess;
 		      CostVector &_pi;
 		      IntVector &_pred;
 		      IntVector _proc_nodes;
 		      CostVector _dist;
 		    public:
 		      ResidualDijkstra(CapacityScaling& cs) :
 		        _node_num(cs._node_num), _geq(cs._sum_supply < 0),
 		        _first_out(cs._first_out), _target(cs._target), _cost(cs._cost),
 		        _res_cap(cs._res_cap), _excess(cs._excess), _pi(cs._pi),
 		        _pred(cs._pred), _dist(cs._node_num)
 		      {}
 		      int run(int s, Value delta = 1) {
 		        RangeMap<int> heap_cross_ref(_node_num, Heap::PRE_HEAP);
 		        Heap heap(heap_cross_ref);
 		        heap.push(s, 0);
 		        _pred[s] = -1;
 		        _proc_nodes.clear();
 		        // Process nodes
 		        while (!heap.empty() && _excess[heap.top()] > -delta) {
 		          int u = heap.top(), v;
 		          Cost d = heap.prio() + _pi[u], dn;
 		          _dist[u] = heap.prio();
 		          _proc_nodes.push_back(u);
 		          heap.pop();
@@ -418,49 +418,49 @@
 		    ///
 		    /// This function sets a single source node and a single target node
 		    /// and the required flow value.
 		    /// If neither this function nor \ref supplyMap() is used before
 		    /// calling \ref run(), the supply of each node will be set to zero.
 		    ///
 		    /// Using this function has the same effect as using \ref supplyMap()
 		    /// with such a map in which \c k is assigned to \c s, \c -k is
 		    /// assigned to \c t and all other nodes have zero supply value.
 		    ///
 		    /// \param s The source node.
 		    /// \param t The target node.
 		    /// \param k The required amount of flow from node \c s to node \c t
 		    /// (i.e. the supply of \c s and the demand of \c t).
 		    ///
 		    /// \return <tt>(*this)</tt>
 		    CapacityScaling& stSupply(const Node& s, const Node& t, Value k) {
 		      for (int i = 0; i != _node_num; ++i) {
 		        _supply[i] = 0;
+		      }
 		      _supply[_node_id[s]] =  k;
 		      _supply[_node_id[t]] = -k;
 		      return *this;
+		    }
 		    /// @}
 		    /// \name Execution control
 		    /// The algorithm can be executed using \ref run().
 		    /// @{
 		    /// \brief Run the algorithm.
 		    ///
 		    /// This function runs the algorithm.
 		    /// The paramters can be specified using functions \ref lowerMap(),
 		    /// \ref upperMap(), \ref costMap(), \ref supplyMap(), \ref stSupply().
 		    /// For example,
 		    /// \code
 		    ///   CapacityScaling<ListDigraph> cs(graph);
 		    ///   cs.lowerMap(lower).upperMap(upper).costMap(cost)
 		    ///     .supplyMap(sup).run();
 		    /// \endcode
 		    ///
 		    /// This function can be called more than once. All the given parameters
 		    /// are kept for the next call, unless \ref resetParams() or \ref reset()
 		    /// is used, thus only the modified parameters have to be set again.
 		    /// If the underlying digraph was also modified after the construction
 		    /// of the class (or the last \ref reset() call), then the \ref reset()
@@ -554,93 +554,93 @@
 		    ///
 		    /// See \ref resetParams() for examples.
 		    ///
 		    /// \return <tt>(*this)</tt>
 		    ///
 		    /// \see resetParams(), run()
 		    CapacityScaling& reset() {
 		      // Resize vectors
 		      _node_num = countNodes(_graph);
 		      _arc_num = countArcs(_graph);
 		      _res_arc_num = 2 * (_arc_num + _node_num);
 		      _root = _node_num;
 		      ++_node_num;
 		      _first_out.resize(_node_num + 1);
 		      _forward.resize(_res_arc_num);
 		      _source.resize(_res_arc_num);
 		      _target.resize(_res_arc_num);
 		      _reverse.resize(_res_arc_num);
 		      _lower.resize(_res_arc_num);
 		      _upper.resize(_res_arc_num);
 		      _cost.resize(_res_arc_num);
 		      _supply.resize(_node_num);
 		      _res_cap.resize(_res_arc_num);
 		      _pi.resize(_node_num);
 		      _excess.resize(_node_num);
 		      _pred.resize(_node_num);
 		      // Copy the graph
 		      int i = 0, j = 0, k = 2 * _arc_num + _node_num - 1;
 		      for (NodeIt n(_graph); n != INVALID; ++n, ++i) {
 		        _node_id[n] = i;
+		      }
 		      i = 0;
 		      for (NodeIt n(_graph); n != INVALID; ++n, ++i) {
 		        _first_out[i] = j;
 		        for (OutArcIt a(_graph, n); a != INVALID; ++a, ++j) {
 		          _arc_idf[a] = j;
 		          _forward[j] = true;
 		          _source[j] = i;
 		          _target[j] = _node_id[_graph.runningNode(a)];
+		        }
 		        for (InArcIt a(_graph, n); a != INVALID; ++a, ++j) {
 		          _arc_idb[a] = j;
 		          _forward[j] = false;
 		          _source[j] = i;
 		          _target[j] = _node_id[_graph.runningNode(a)];
+		        }
 		        _forward[j] = false;
 		        _source[j] = i;
 		        _target[j] = _root;
 		        _reverse[j] = k;
 		        _forward[k] = true;
 		        _source[k] = _root;
 		        _target[k] = i;
 		        _reverse[k] = j;
 		        ++j; ++k;
+		      }
 		      _first_out[i] = j;
 		      _first_out[_node_num] = k;
 		      for (ArcIt a(_graph); a != INVALID; ++a) {
 		        int fi = _arc_idf[a];
 		        int bi = _arc_idb[a];
 		        _reverse[fi] = bi;
 		        _reverse[bi] = fi;
+		      }
 		      // Reset parameters
 		      resetParams();
 		      return *this;
+		    }
 		    /// @}
 		    /// \name Query Functions
 		    /// The results of the algorithm can be obtained using these
 		    /// functions.\n
 		    /// The \ref run() function must be called before using them.
 		    /// @{
 		    /// \brief Return the total cost of the found flow.
 		    ///
 		    /// This function returns the total cost of the found flow.
 		    /// Its complexity is O(e).
 		    ///
 		    /// \note The return type of the function can be specified as a
 		    /// template parameter. For example,
 		    /// \code
 		    ///   cs.totalCost<double>();
 		    /// \endcode
@@ -707,97 +707,97 @@
 		    /// \c Value type of the map.
 		    ///
 		    /// \pre \ref run() must be called before using this function.
 		    template <typename PotentialMap>
 		    void potentialMap(PotentialMap &map) const {
 		      for (NodeIt n(_graph); n != INVALID; ++n) {
 		        map.set(n, _pi[_node_id[n]]);
+		      }
+		    }
 		    /// @}
 		  private:
 		    // Initialize the algorithm
 		    ProblemType init() {
 		      if (_node_num <= 1) return INFEASIBLE;
 		      // Check the sum of supply values
 		      _sum_supply = 0;
 		      for (int i = 0; i != _root; ++i) {
 		        _sum_supply += _supply[i];
+		      }
 		      if (_sum_supply > 0) return INFEASIBLE;
 		      // Initialize vectors
 		      for (int i = 0; i != _root; ++i) {
 		        _pi[i] = 0;
 		        _excess[i] = _supply[i];
+		      }
 		      // Remove non-zero lower bounds
 		      const Value MAX = std::numeric_limits<Value>::max();
 		      int last_out;
 		      if (_have_lower) {
 		        for (int i = 0; i != _root; ++i) {
 		          last_out = _first_out[i+1];
 		          for (int j = _first_out[i]; j != last_out; ++j) {
 		            if (_forward[j]) {
 		              Value c = _lower[j];
 		              if (c >= 0) {
 		                _res_cap[j] = _upper[j] < MAX ? _upper[j] - c : INF;
 		              } else {
 		                _res_cap[j] = _upper[j] < MAX + c ? _upper[j] - c : INF;
+		              }
 		              _excess[i] -= c;
 		              _excess[_target[j]] += c;
 		            } else {
 		              _res_cap[j] = 0;
+		            }
+		          }
+		        }
 		      } else {
 		        for (int j = 0; j != _res_arc_num; ++j) {
 		          _res_cap[j] = _forward[j] ? _upper[j] : 0;
+		        }
+		      }
 		      // Handle negative costs
 		      for (int i = 0; i != _root; ++i) {
 		        last_out = _first_out[i+1] - 1;
 		        for (int j = _first_out[i]; j != last_out; ++j) {
 		          Value rc = _res_cap[j];
 		          if (_cost[j] < 0 && rc > 0) {
 		            if (rc >= MAX) return UNBOUNDED;
 		            _excess[i] -= rc;
 		            _excess[_target[j]] += rc;
 		            _res_cap[j] = 0;
 		            _res_cap[_reverse[j]] += rc;
+		          }
+		        }
+		      }
 		      // Handle GEQ supply type
 		      if (_sum_supply < 0) {
 		        _pi[_root] = 0;
 		        _excess[_root] = -_sum_supply;
 		        for (int a = _first_out[_root]; a != _res_arc_num; ++a) {
 		          int ra = _reverse[a];
 		          _res_cap[a] = -_sum_supply + 1;
 		          _res_cap[ra] = 0;
 		          _cost[a] = 0;
 		          _cost[ra] = 0;
+		        }
 		      } else {
 		        _pi[_root] = 0;
 		        _excess[_root] = 0;
 		        for (int a = _first_out[_root]; a != _res_arc_num; ++a) {
 		          int ra = _reverse[a];
 		          _res_cap[a] = 1;
 		          _res_cap[ra] = 0;
 		          _cost[a] = 0;
 		          _cost[ra] = 0;
+		        }
+		      }
 		      // Initialize delta value
@@ -823,51 +823,51 @@
 		      return OPTIMAL;
+		    }
 		    ProblemType start() {
 		      // Execute the algorithm
 		      ProblemType pt;
 		      if (_delta > 1)
 		        pt = startWithScaling();
 		      else
 		        pt = startWithoutScaling();
 		      // Handle non-zero lower bounds
 		      if (_have_lower) {
 		        int limit = _first_out[_root];
 		        for (int j = 0; j != limit; ++j) {
 		          if (!_forward[j]) _res_cap[j] += _lower[j];
+		        }
+		      }
 		      // Shift potentials if necessary
 		      Cost pr = _pi[_root];
 		      if (_sum_supply < 0 || pr > 0) {
 		        for (int i = 0; i != _node_num; ++i) {
 		          _pi[i] -= pr;
+		        }
+		        }
+		      }
 		      return pt;
+		    }
 		    // Execute the capacity scaling algorithm
 		    ProblemType startWithScaling() {
 		      // Perform capacity scaling phases
 		      int s, t;
 		      ResidualDijkstra _dijkstra(*this);
 		      while (true) {
 		        // Saturate all arcs not satisfying the optimality condition
 		        int last_out;
 		        for (int u = 0; u != _node_num; ++u) {
 		          last_out = _sum_supply < 0 ?
 		            _first_out[u+1] : _first_out[u+1] - 1;
 		          for (int a = _first_out[u]; a != last_out; ++a) {
 		            int v = _target[a];
 		            Cost c = _cost[a] + _pi[u] - _pi[v];
 		            Value rc = _res_cap[a];
 		            if (c < 0 && rc >= _delta) {
 		              _excess[u] -= rc;
 		              _excess[v] += rc;
 		              _res_cap[a] = 0;
 		              _res_cap[_reverse[a]] += rc;
+		            }

lemon/cbc.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		// -*- C++ -*-
 		#ifndef LEMON_CBC_H
 		#define LEMON_CBC_H
 		///\file
 		///\brief Header of the LEMON-CBC mip solver interface.
 		///\ingroup lp_group
 		#include <lemon/lp_base.h>
 		class CoinModel;
@@ -100,31 +100,31 @@
 		    virtual void _setObjCoeffs(ExprIterator b, ExprIterator e);
 		    virtual void _getObjCoeffs(InsertIterator b) const;
 		    virtual void _setObjCoeff(int i, Value obj_coef);
 		    virtual Value _getObjCoeff(int i) const;
 		    virtual void _setSense(Sense sense);
 		    virtual Sense _getSense() const;
 		    virtual ColTypes _getColType(int col) const;
 		    virtual void _setColType(int col, ColTypes col_type);
 		    virtual SolveExitStatus _solve();
 		    virtual ProblemType _getType() const;
 		    virtual Value _getSol(int i) const;
 		    virtual Value _getSolValue() const;
 		    virtual void _clear();
 		    virtual void _messageLevel(MessageLevel level);
 		    void _applyMessageLevel();
 		    int _message_level;
 		  };
+		}
 		#endif

lemon/circulation.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_CIRCULATION_H
 		#define LEMON_CIRCULATION_H
 		#include <lemon/tolerance.h>
 		#include <lemon/elevator.h>
 		#include <limits>
 		///\ingroup max_flow
 		///\file
 		///\brief Push-relabel algorithm for finding a feasible circulation.
 		///
@@ -38,50 +38,50 @@
 		  /// \tparam UM The type of the upper bound (capacity) map.
 		  /// \tparam SM The type of the supply map.
 		  template <typename GR, typename LM,
 		            typename UM, typename SM>
 		  struct CirculationDefaultTraits {
 		    /// \brief The type of the digraph the algorithm runs on.
 		    typedef GR Digraph;
 		    /// \brief The type of the lower bound map.
 		    ///
 		    /// The type of the map that stores the lower bounds on the arcs.
 		    /// It must conform to the \ref concepts::ReadMap "ReadMap" concept.
 		    typedef LM LowerMap;
 		    /// \brief The type of the upper bound (capacity) map.
 		    ///
 		    /// The type of the map that stores the upper bounds (capacities)
 		    /// on the arcs.
 		    /// It must conform to the \ref concepts::ReadMap "ReadMap" concept.
 		    typedef UM UpperMap;
 		    /// \brief The type of supply map.
 		    ///
 		    /// The type of the map that stores the signed supply values of the
 		    /// nodes.
 		    /// The type of the map that stores the signed supply values of the
 		    /// nodes.
 		    /// It must conform to the \ref concepts::ReadMap "ReadMap" concept.
 		    typedef SM SupplyMap;
 		    /// \brief The type of the flow and supply values.
 		    typedef typename SupplyMap::Value Value;
 		    /// \brief The type of the map that stores the flow values.
 		    ///
 		    /// The type of the map that stores the flow values.
 		    /// It must conform to the \ref concepts::ReadWriteMap "ReadWriteMap"
 		    /// concept.
 		#ifdef DOXYGEN
 		    typedef GR::ArcMap<Value> FlowMap;
 		#else
 		    typedef typename Digraph::template ArcMap<Value> FlowMap;
 		#endif
 		    /// \brief Instantiates a FlowMap.
 		    ///
 		    /// This function instantiates a \ref FlowMap.
 		    /// \param digraph The digraph for which we would like to define
 		    /// the flow map.
 		    static FlowMap* createFlowMap(const Digraph& digraph) {
 		      return new FlowMap(digraph);
@@ -120,59 +120,59 @@
 		     \ingroup max_flow
 		     This class implements a push-relabel algorithm for the \e network
 		     \e circulation problem.
 		     It is to find a feasible circulation when lower and upper bounds
 		     are given for the flow values on the arcs and lower bounds are
 		     given for the difference between the outgoing and incoming flow
 		     at the nodes.
 		     The exact formulation of this problem is the following.
 		     Let \f$G=(V,A)\f$ be a digraph, \f$lower: A\rightarrow\mathbf{R}\f$
 		     \f$upper: A\rightarrow\mathbf{R}\cup\{\infty\}\f$ denote the lower and
 		     upper bounds on the arcs, for which \f$lower(uv) \leq upper(uv)\f$
 		     holds for all \f$uv\in A\f$, and \f$sup: V\rightarrow\mathbf{R}\f$
 		     denotes the signed supply values of the nodes.
 		     If \f$sup(u)>0\f$, then \f$u\f$ is a supply node with \f$sup(u)\f$
 		     supply, if \f$sup(u)<0\f$, then \f$u\f$ is a demand node with
 		     \f$-sup(u)\f$ demand.
 		     A feasible circulation is an \f$f: A\rightarrow\mathbf{R}\f$
 		     solution of the following problem.
 		     \f[ \sum_{uv\in A} f(uv) - \sum_{vu\in A} f(vu)
 		     \geq sup(u) \quad \forall u\in V, \f]
 		     \f[ lower(uv) \leq f(uv) \leq upper(uv) \quad \forall uv\in A. \f]
 		     The sum of the supply values, i.e. \f$\sum_{u\in V} sup(u)\f$ must be
 		     zero or negative in order to have a feasible solution (since the sum
 		     of the expressions on the left-hand side of the inequalities is zero).
 		     It means that the total demand must be greater or equal to the total
 		     supply and all the supplies have to be carried out from the supply nodes,
 		     but there could be demands that are not satisfied.
 		     If \f$\sum_{u\in V} sup(u)\f$ is zero, then all the supply/demand
 		     constraints have to be satisfied with equality, i.e. all demands
 		     have to be satisfied and all supplies have to be used.
 		     If you need the opposite inequalities in the supply/demand constraints
 		     (i.e. the total demand is less than the total supply and all the demands
 		     have to be satisfied while there could be supplies that are not used),
 		     then you could easily transform the problem to the above form by reversing
 		     the direction of the arcs and taking the negative of the supply values
 		     (e.g. using \ref ReverseDigraph and \ref NegMap adaptors).
 		     This algorithm either calculates a feasible circulation, or provides
 		     a \ref barrier() "barrier", which prooves that a feasible soultion
 		     cannot exist.
 		     Note that this algorithm also provides a feasible solution for the
 		     \ref min_cost_flow "minimum cost flow problem".
 		     \tparam GR The type of the digraph the algorithm runs on.
 		     \tparam LM The type of the lower bound map. The default
 		     map type is \ref concepts::Digraph::ArcMap "GR::ArcMap<int>".
 		     \tparam UM The type of the upper bound (capacity) map.
 		     The default map type is \c LM.
 		     \tparam SM The type of the supply map. The default map type is
 		     \ref concepts::Digraph::NodeMap "GR::NodeMap<UM::Value>".
 		     \tparam TR The traits class that defines various types used by the
 		     algorithm. By default, it is \ref CirculationDefaultTraits
 		     "CirculationDefaultTraits<GR, LM, UM, SM>".
@@ -316,49 +316,49 @@
 		    /// before calling \ref run() or \ref init().
 		    /// \sa SetElevator
 		    template <typename T>
 		    struct SetStandardElevator
 		      : public Circulation<Digraph, LowerMap, UpperMap, SupplyMap,
 		                       SetStandardElevatorTraits<T> > {
 		      typedef Circulation<Digraph, LowerMap, UpperMap, SupplyMap,
 		                      SetStandardElevatorTraits<T> > Create;
 		    };
 		    /// @}
 		  protected:
 		    Circulation() {}
 		  public:
 		    /// Constructor.
 		    /// The constructor of the class.
 		    ///
 		    /// \param graph The digraph the algorithm runs on.
 		    /// \param lower The lower bounds for the flow values on the arcs.
-		    /// \param upper The upper bounds (capacities) for the flow values
 		    /// \param upper The upper bounds (capacities) for the flow values
 		    /// on the arcs.
 		    /// \param supply The signed supply values of the nodes.
 		    Circulation(const Digraph &graph, const LowerMap &lower,
 		                const UpperMap &upper, const SupplyMap &supply)
 		      : _g(graph), _lo(&lower), _up(&upper), _supply(&supply),
 		        _flow(NULL), _local_flow(false), _level(NULL), _local_level(false),
 		        _excess(NULL) {}
 		    /// Destructor.
 		    ~Circulation() {
 		      destroyStructures();
+		    }
 		  private:
 		    bool checkBoundMaps() {
 		      for (ArcIt e(_g);e!=INVALID;++e) {
 		        if (_tol.less((*_up)[e], (*_lo)[e])) return false;
+		      }
 		      return true;
+		    }
 		    void createStructures() {

lemon/clp.cc

Show inline comments

/* -*- mode: C++; indent-tabs-mode: nil; -*-
 *
 * This file is a part of LEMON, a generic C++ optimization library.
 *
 * Copyright (C) 2003-2008
 * Copyright (C) 2003-2010
 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 * (Egervary Research Group on Combinatorial Optimization, EGRES).
 *
 * Permission to use, modify and distribute this software is granted
 * provided that this copyright notice appears in all copies. For
 * precise terms see the accompanying LICENSE file.
 *
 * This software is provided "AS IS" with no warranty of any kind,
 * express or implied, and with no claim as to its suitability for any
 * purpose.
 *
 */

#include <lemon/clp.h>
#include <coin/ClpSimplex.hpp>

namespace lemon {

  ClpLp::ClpLp() {
    _prob = new ClpSimplex();
    _init_temporals();
    messageLevel(MESSAGE_NOTHING);
  }


lemon/clp.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2008
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_CLP_H
 		#define LEMON_CLP_H
 		///\file
 		///\brief Header of the LEMON-CLP lp solver interface.
 		#include <vector>
 		#include <string>
 		#include <lemon/lp_base.h>
@@ -117,48 +117,48 @@
 		    virtual Value _getObjCoeff(int i) const;
 		    virtual void _setSense(Sense sense);
 		    virtual Sense _getSense() const;
 		    virtual SolveExitStatus _solve();
 		    virtual Value _getPrimal(int i) const;
 		    virtual Value _getDual(int i) const;
 		    virtual Value _getPrimalValue() const;
 		    virtual Value _getPrimalRay(int i) const;
 		    virtual Value _getDualRay(int i) const;
 		    virtual VarStatus _getColStatus(int i) const;
 		    virtual VarStatus _getRowStatus(int i) const;
 		    virtual ProblemType _getPrimalType() const;
 		    virtual ProblemType _getDualType() const;
 		    virtual void _clear();
 		    virtual void _messageLevel(MessageLevel);
 		  public:
 		    ///Solves LP with primal simplex method.
 		    SolveExitStatus solvePrimal();
 		    ///Solves LP with dual simplex method.
 		    SolveExitStatus solveDual();
 		    ///Solves LP with barrier method.
 		    SolveExitStatus solveBarrier();
 		    ///Returns the constraint identifier understood by CLP.
 		    int clpRow(Row r) const { return rows(id(r)); }
 		    ///Returns the variable identifier understood by CLP.
 		    int clpCol(Col c) const { return cols(id(c)); }
 		  };
 		} //END OF NAMESPACE LEMON
 		#endif //LEMON_CLP_H

lemon/concepts/digraph.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_CONCEPTS_DIGRAPH_H
 		#define LEMON_CONCEPTS_DIGRAPH_H
 		///\ingroup graph_concepts
 		///\file
 		///\brief The concept of directed graphs.
 		#include <lemon/core.h>
 		#include <lemon/concepts/maps.h>
 		#include <lemon/concept_check.h>
 		#include <lemon/concepts/graph_components.h>
@@ -413,49 +413,49 @@
 		      /// (i.e. the target node of the corresponding arc).
 		      Node baseNode(InArcIt) const { return INVALID; }
 		      /// \brief The running node of the iterator.
 		      ///
 		      /// Returns the running node of the given incomming arc iterator
 		      /// (i.e. the source node of the corresponding arc).
 		      Node runningNode(InArcIt) const { return INVALID; }
 		      /// \brief Standard graph map type for the nodes.
 		      ///
 		      /// Standard graph map type for the nodes.
 		      /// It conforms to the ReferenceMap concept.
 		      template<class T>
 		      class NodeMap : public ReferenceMap<Node, T, T&, const T&> {
 		      public:
 		        /// Constructor
 		        explicit NodeMap(const Digraph&) { }
 		        /// Constructor with given initial value
 		        NodeMap(const Digraph&, T) { }
 		      private:
 		        ///Copy constructor
-		        NodeMap(const NodeMap& nm) :
 		        NodeMap(const NodeMap& nm) :
 		          ReferenceMap<Node, T, T&, const T&>(nm) { }
 		        ///Assignment operator
 		        template <typename CMap>
 		        NodeMap& operator=(const CMap&) {
 		          checkConcept<ReadMap<Node, T>, CMap>();
 		          return *this;
+		        }
 		      };
 		      /// \brief Standard graph map type for the arcs.
 		      ///
 		      /// Standard graph map type for the arcs.
 		      /// It conforms to the ReferenceMap concept.
 		      template<class T>
 		      class ArcMap : public ReferenceMap<Arc, T, T&, const T&> {
 		      public:
 		        /// Constructor
 		        explicit ArcMap(const Digraph&) { }
 		        /// Constructor with given initial value
 		        ArcMap(const Digraph&, T) { }
 		      private:
 		        ///Copy constructor

lemon/concepts/graph.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		///\ingroup graph_concepts
 		///\file
 		///\brief The concept of undirected graphs.
 		#ifndef LEMON_CONCEPTS_GRAPH_H
 		#define LEMON_CONCEPTS_GRAPH_H
 		#include <lemon/concepts/graph_components.h>
 		#include <lemon/concepts/maps.h>
 		#include <lemon/concept_check.h>
 		#include <lemon/core.h>
 		namespace lemon {
 		  namespace concepts {
 		    /// \ingroup graph_concepts
 		    ///
 		    /// \brief Class describing the concept of undirected graphs.
 		    ///
 		    /// This class describes the common interface of all undirected
 		    /// graphs.
 		    ///
 		    /// Like all concept classes, it only provides an interface
 		    /// without any sensible implementation. So any general algorithm for
 		    /// undirected graphs should compile with this class, but it will not
 		    /// run properly, of course.
 		    /// An actual graph implementation like \ref ListGraph or
-		    /// \ref SmartGraph may have additional functionality.
 		    /// \ref SmartGraph may have additional functionality.
 		    ///
 		    /// The undirected graphs also fulfill the concept of \ref Digraph
 		    /// "directed graphs", since each edge can also be regarded as two
 		    /// oppositely directed arcs.
 		    /// Undirected graphs provide an Edge type for the undirected edges and
 		    /// an Arc type for the directed arcs. The Arc type is convertible to
 		    /// Edge or inherited from it, i.e. the corresponding edge can be
 		    /// obtained from an arc.
 		    /// EdgeIt and EdgeMap classes can be used for the edges, while ArcIt
 		    /// and ArcMap classes can be used for the arcs (just like in digraphs).
 		    /// Both InArcIt and OutArcIt iterates on the same edges but with
 		    /// opposite direction. IncEdgeIt also iterates on the same edges
 		    /// as OutArcIt and InArcIt, but it is not convertible to Arc,
 		    /// only to Edge.
 		    ///
 		    /// In LEMON, each undirected edge has an inherent orientation.
 		    /// Thus it can defined if an arc is forward or backward oriented in
 		    /// an undirected graph with respect to this default oriantation of
 		    /// the represented edge.
 		    /// With the direction() and direct() functions the direction
 		    /// of an arc can be obtained and set, respectively.
 		    ///
 		    /// Only nodes and edges can be added to or removed from an undirected
 		    /// graph and the corresponding arcs are added or removed automatically.
 		    ///
 		    /// \sa Digraph
 		    class Graph {
 		    private:
 		      /// Graphs are \e not copy constructible. Use DigraphCopy instead.
 		      Graph(const Graph&) {}
 		      /// \brief Assignment of a graph to another one is \e not allowed.
 		      /// Use DigraphCopy instead.
 		      void operator=(const Graph&) {}
 		    public:
 		      /// Default constructor.
 		      Graph() {}
 		      /// \brief Undirected graphs should be tagged with \c UndirectedTag.
 		      ///
 		      /// Undirected graphs should be tagged with \c UndirectedTag.
-		      ///
 		      ///
 		      /// This tag helps the \c enable_if technics to make compile time
 		      /// specializations for undirected graphs.
 		      typedef True UndirectedTag;
 		      /// The node type of the graph
 		      /// This class identifies a node of the graph. It also serves
 		      /// as a base class of the node iterators,
 		      /// thus they convert to this type.
 		      class Node {
 		      public:
 		        /// Default constructor
 		        /// Default constructor.
 		        /// \warning It sets the object to an undefined value.
 		        Node() { }
 		        /// Copy constructor.
 		        /// Copy constructor.
 		        ///
 		        Node(const Node&) { }
 		        /// %Invalid constructor \& conversion.
@@ -339,49 +339,49 @@
 		        /// \sa Invalid for more details.
 		        Arc(Invalid) { }
 		        /// Equality operator
 		        /// Equality operator.
 		        ///
 		        /// Two iterators are equal if and only if they point to the
 		        /// same object or both are \c INVALID.
 		        bool operator==(Arc) const { return true; }
 		        /// Inequality operator
 		        /// Inequality operator.
 		        bool operator!=(Arc) const { return true; }
 		        /// Artificial ordering operator.
 		        /// Artificial ordering operator.
 		        ///
 		        /// \note This operator only has to define some strict ordering of
 		        /// the arcs; this order has nothing to do with the iteration
 		        /// ordering of the arcs.
 		        bool operator<(Arc) const { return false; }
 		        /// Converison to \c Edge
 		        /// Converison to \c Edge.
 		        ///
 		        operator Edge() const { return Edge(); }
 		      };
 		      /// Iterator class for the arcs.
 		      /// This iterator goes through each directed arc of the graph.
 		      /// Its usage is quite simple, for example, you can count the number
 		      /// of arcs in a graph \c g of type \c %Graph as follows:
 		      ///\code
 		      /// int count=0;
 		      /// for(Graph::ArcIt a(g); a!=INVALID; ++a) ++count;
 		      ///\endcode
 		      class ArcIt : public Arc {
 		      public:
 		        /// Default constructor
 		        /// Default constructor.
 		        /// \warning It sets the iterator to an undefined value.
 		        ArcIt() { }
 		        /// Copy constructor.
 		        /// Copy constructor.

lemon/concepts/graph_components.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		///\ingroup graph_concepts
 		///\file
 		///\brief The concepts of graph components.
 		#ifndef LEMON_CONCEPTS_GRAPH_COMPONENTS_H
 		#define LEMON_CONCEPTS_GRAPH_COMPONENTS_H
 		#include <lemon/core.h>
 		#include <lemon/concepts/maps.h>
 		#include <lemon/bits/alteration_notifier.h>
 		namespace lemon {
 		  namespace concepts {
 		    /// \brief Concept class for \c Node, \c Arc and \c Edge types.
 		    ///
 		    /// This class describes the concept of \c Node, \c Arc and \c Edge
 		    /// subtypes of digraph and graph types.
 		    ///
 		    /// \note This class is a template class so that we can use it to
 		    /// create graph skeleton classes. The reason for this is that \c Node
-		    /// and \c Arc (or \c Edge) types should \e not derive from the same
 		    /// and \c Arc (or \c Edge) types should \e not derive from the same
 		    /// base class. For \c Node you should instantiate it with character
 		    /// \c 'n', for \c Arc with \c 'a' and for \c Edge with \c 'e'.
 		#ifndef DOXYGEN
 		    template <char sel = '0'>
 		#endif
 		    class GraphItem {
 		    public:
 		      /// \brief Default constructor.
 		      ///
 		      /// Default constructor.
 		      /// \warning The default constructor is not required to set
 		      /// the item to some well-defined value. So you should consider it
 		      /// as uninitialized.
 		      GraphItem() {}
 		      /// \brief Copy constructor.
 		      ///
 		      /// Copy constructor.
 		      GraphItem(const GraphItem &) {}
 		      /// \brief Constructor for conversion from \c INVALID.
 		      ///
 		      /// Constructor for conversion from \c INVALID.
 		      /// It initializes the item to be invalid.
@@ -68,82 +68,82 @@
 		      /// \brief Assignment operator.
 		      ///
 		      /// Assignment operator for the item.
 		      GraphItem& operator=(const GraphItem&) { return *this; }
 		      /// \brief Assignment operator for INVALID.
 		      ///
 		      /// This operator makes the item invalid.
 		      GraphItem& operator=(Invalid) { return *this; }
 		      /// \brief Equality operator.
 		      ///
 		      /// Equality operator.
 		      bool operator==(const GraphItem&) const { return false; }
 		      /// \brief Inequality operator.
 		      ///
 		      /// Inequality operator.
 		      bool operator!=(const GraphItem&) const { return false; }
 		      /// \brief Ordering operator.
 		      ///
 		      /// This operator defines an ordering of the items.
-		      /// It makes possible to use graph item types as key types in
 		      /// It makes possible to use graph item types as key types in
 		      /// associative containers (e.g. \c std::map).
 		      ///
 		      /// \note This operator only has to define some strict ordering of
 		      /// the items; this order has nothing to do with the iteration
 		      /// ordering of the items.
 		      bool operator<(const GraphItem&) const { return false; }
 		      template<typename _GraphItem>
 		      struct Constraints {
 		        void constraints() {
 		          _GraphItem i1;
 		          i1=INVALID;
 		          _GraphItem i2 = i1;
 		          _GraphItem i3 = INVALID;
 		          i1 = i2 = i3;
 		          bool b;
 		          b = (ia == ib) && (ia != ib);
 		          b = (ia == INVALID) && (ib != INVALID);
 		          b = (ia < ib);
+		        }
 		        const _GraphItem &ia;
 		        const _GraphItem &ib;
 		      };
 		    };
 		    /// \brief Base skeleton class for directed graphs.
 		    ///
 		    /// This class describes the base interface of directed graph types.
 		    /// All digraph %concepts have to conform to this class.
-		    /// It just provides types for nodes and arcs and functions
 		    /// It just provides types for nodes and arcs and functions
 		    /// to get the source and the target nodes of arcs.
 		    class BaseDigraphComponent {
 		    public:
 		      typedef BaseDigraphComponent Digraph;
 		      /// \brief Node class of the digraph.
 		      ///
 		      /// This class represents the nodes of the digraph.
 		      typedef GraphItem<'n'> Node;
 		      /// \brief Arc class of the digraph.
 		      ///
 		      /// This class represents the arcs of the digraph.
 		      typedef GraphItem<'a'> Arc;
 		      /// \brief Return the source node of an arc.
 		      ///
 		      /// This function returns the source node of an arc.
 		      Node source(const Arc&) const { return INVALID; }
 		      /// \brief Return the target node of an arc.
 		      ///
 		      /// This function returns the target node of an arc.
@@ -405,156 +405,156 @@
 		      ///
 		      /// This function returns an integer greater or equal to the
 		      /// maximum edge id.
 		      int maxEdgeId() const { return -1; }
 		      template <typename _Graph>
 		      struct Constraints {
 		        void constraints() {
 		          checkConcept<IDableDigraphComponent<Base>, _Graph >();
 		          typename _Graph::Edge edge;
 		          int ueid = graph.id(edge);
 		          ueid = graph.id(edge);
 		          edge = graph.edgeFromId(ueid);
 		          ueid = graph.maxEdgeId();
 		          ignore_unused_variable_warning(ueid);
+		        }
 		        const _Graph& graph;
 		      };
 		    };
 		    /// \brief Concept class for \c NodeIt, \c ArcIt and \c EdgeIt types.
 		    ///
-		    /// This class describes the concept of \c NodeIt, \c ArcIt and
 		    /// This class describes the concept of \c NodeIt, \c ArcIt and
 		    /// \c EdgeIt subtypes of digraph and graph types.
 		    template <typename GR, typename Item>
 		    class GraphItemIt : public Item {
 		    public:
 		      /// \brief Default constructor.
 		      ///
 		      /// Default constructor.
 		      /// \warning The default constructor is not required to set
 		      /// the iterator to some well-defined value. So you should consider it
 		      /// as uninitialized.
 		      GraphItemIt() {}
 		      /// \brief Copy constructor.
 		      ///
 		      /// Copy constructor.
 		      GraphItemIt(const GraphItemIt& it) : Item(it) {}
 		      /// \brief Constructor that sets the iterator to the first item.
 		      ///
 		      /// Constructor that sets the iterator to the first item.
 		      explicit GraphItemIt(const GR&) {}
 		      /// \brief Constructor for conversion from \c INVALID.
 		      ///
 		      /// Constructor for conversion from \c INVALID.
 		      /// It initializes the iterator to be invalid.
 		      /// \sa Invalid for more details.
 		      GraphItemIt(Invalid) {}
 		      /// \brief Assignment operator.
 		      ///
 		      /// Assignment operator for the iterator.
 		      GraphItemIt& operator=(const GraphItemIt&) { return *this; }
 		      /// \brief Increment the iterator.
 		      ///
 		      /// This operator increments the iterator, i.e. assigns it to the
 		      /// next item.
 		      GraphItemIt& operator++() { return *this; }
 		      /// \brief Equality operator
 		      ///
 		      /// Equality operator.
 		      /// Two iterators are equal if and only if they point to the
 		      /// same object or both are invalid.
 		      bool operator==(const GraphItemIt&) const { return true;}
 		      /// \brief Inequality operator
 		      ///
 		      /// Inequality operator.
 		      /// Two iterators are equal if and only if they point to the
 		      /// same object or both are invalid.
 		      bool operator!=(const GraphItemIt&) const { return true;}
 		      template<typename _GraphItemIt>
 		      struct Constraints {
 		        void constraints() {
 		          checkConcept<GraphItem<>, _GraphItemIt>();
 		          _GraphItemIt it1(g);
 		          _GraphItemIt it2;
 		          _GraphItemIt it3 = it1;
 		          _GraphItemIt it4 = INVALID;
 		          it2 = ++it1;
 		          ++it2 = it1;
 		          ++(++it1);
 		          Item bi = it1;
 		          bi = it2;
+		        }
 		        const GR& g;
 		      };
 		    };
-		    /// \brief Concept class for \c InArcIt, \c OutArcIt and
 		    /// \brief Concept class for \c InArcIt, \c OutArcIt and
 		    /// \c IncEdgeIt types.
 		    ///
-		    /// This class describes the concept of \c InArcIt, \c OutArcIt
 		    /// This class describes the concept of \c InArcIt, \c OutArcIt
 		    /// and \c IncEdgeIt subtypes of digraph and graph types.
 		    ///
 		    /// \note Since these iterator classes do not inherit from the same
 		    /// base class, there is an additional template parameter (selector)
-		    /// \c sel. For \c InArcIt you should instantiate it with character
 		    /// \c sel. For \c InArcIt you should instantiate it with character
 		    /// \c 'i', for \c OutArcIt with \c 'o' and for \c IncEdgeIt with \c 'e'.
 		    template <typename GR,
 		              typename Item = typename GR::Arc,
 		              typename Base = typename GR::Node,
 		              char sel = '0'>
 		    class GraphIncIt : public Item {
 		    public:
 		      /// \brief Default constructor.
 		      ///
 		      /// Default constructor.
 		      /// \warning The default constructor is not required to set
 		      /// the iterator to some well-defined value. So you should consider it
 		      /// as uninitialized.
 		      GraphIncIt() {}
 		      /// \brief Copy constructor.
 		      ///
 		      /// Copy constructor.
 		      GraphIncIt(const GraphIncIt& it) : Item(it) {}
-		      /// \brief Constructor that sets the iterator to the first
 		      /// \brief Constructor that sets the iterator to the first
 		      /// incoming or outgoing arc.
 		      ///
-		      /// Constructor that sets the iterator to the first arc
 		      /// Constructor that sets the iterator to the first arc
 		      /// incoming to or outgoing from the given node.
 		      explicit GraphIncIt(const GR&, const Base&) {}
 		      /// \brief Constructor for conversion from \c INVALID.
 		      ///
 		      /// Constructor for conversion from \c INVALID.
 		      /// It initializes the iterator to be invalid.
 		      /// \sa Invalid for more details.
 		      GraphIncIt(Invalid) {}
 		      /// \brief Assignment operator.
 		      ///
 		      /// Assignment operator for the iterator.
 		      GraphIncIt& operator=(const GraphIncIt&) { return *this; }
 		      /// \brief Increment the iterator.
 		      ///
 		      /// This operator increments the iterator, i.e. assigns it to the
 		      /// next arc incoming to or outgoing from the given node.
 		      GraphIncIt& operator++() { return *this; }
 		      /// \brief Equality operator
 		      ///
 		      /// Equality operator.
@@ -783,58 +783,58 @@
 		      typedef IterableGraphComponent Graph;
 		      /// \name Base Iteration
 		      ///
 		      /// This interface provides functions for iteration on edges.
 		      ///
 		      /// @{
 		      using IterableDigraphComponent<Base>::first;
 		      using IterableDigraphComponent<Base>::next;
 		      /// \brief Return the first edge.
 		      ///
 		      /// This function gives back the first edge in the iteration order.
 		      void first(Edge&) const {}
 		      /// \brief Return the next edge.
 		      ///
 		      /// This function gives back the next edge in the iteration order.
 		      void next(Edge&) const {}
 		      /// \brief Return the first edge incident to the given node.
 		      ///
-		      /// This function gives back the first edge incident to the given
 		      /// This function gives back the first edge incident to the given
 		      /// node. The bool parameter gives back the direction for which the
-		      /// source node of the directed arc representing the edge is the
 		      /// source node of the directed arc representing the edge is the
 		      /// given node.
 		      void firstInc(Edge&, bool&, const Node&) const {}
 		      /// \brief Gives back the next of the edges from the
 		      /// given node.
 		      ///
-		      /// This function gives back the next edge incident to the given
 		      /// This function gives back the next edge incident to the given
 		      /// node. The bool parameter should be used as \c firstInc() use it.
 		      void nextInc(Edge&, bool&) const {}
 		      using IterableDigraphComponent<Base>::baseNode;
 		      using IterableDigraphComponent<Base>::runningNode;
 		      /// @}
 		      /// \name Class Based Iteration
 		      ///
 		      /// This interface provides iterator classes for edges.
 		      ///
 		      /// @{
 		      /// \brief This iterator goes through each edge.
 		      ///
 		      /// This iterator goes through each edge.
 		      typedef GraphItemIt<Graph, Edge> EdgeIt;
 		      /// \brief This iterator goes trough the incident edges of a
 		      /// node.
 		      ///
 		      /// This iterator goes trough the incident edges of a certain
 		      /// node of a graph.
@@ -969,49 +969,49 @@
 		      /// \brief Return the edge alteration notifier.
 		      ///
 		      /// This function gives back the edge alteration notifier.
 		      EdgeNotifier& notifier(Edge) const {
 		        return EdgeNotifier();
+		      }
 		      template <typename _Graph>
 		      struct Constraints {
 		        void constraints() {
 		          checkConcept<AlterableDigraphComponent<Base>, _Graph>();
 		          typename _Graph::EdgeNotifier& uen
 		            = graph.notifier(typename _Graph::Edge());
 		          ignore_unused_variable_warning(uen);
+		        }
 		        const _Graph& graph;
 		      };
 		    };
 		    /// \brief Concept class for standard graph maps.
 		    ///
 		    /// This class describes the concept of standard graph maps, i.e.
-		    /// the \c NodeMap, \c ArcMap and \c EdgeMap subtypes of digraph and
 		    /// the \c NodeMap, \c ArcMap and \c EdgeMap subtypes of digraph and
 		    /// graph types, which can be used for associating data to graph items.
 		    /// The standard graph maps must conform to the ReferenceMap concept.
 		    template <typename GR, typename K, typename V>
 		    class GraphMap : public ReferenceMap<K, V, V&, const V&> {
 		      typedef ReferenceMap<K, V, V&, const V&> Parent;
 		    public:
 		      /// The key type of the map.
 		      typedef K Key;
 		      /// The value type of the map.
 		      typedef V Value;
 		      /// The reference type of the map.
 		      typedef Value& Reference;
 		      /// The const reference type of the map.
 		      typedef const Value& ConstReference;
 		      // The reference map tag.
 		      typedef True ReferenceMapTag;
 		      /// \brief Construct a new map.
 		      ///
 		      /// Construct a new map for the graph.
 		      explicit GraphMap(const GR&) {}
@@ -1024,72 +1024,72 @@
 		      /// \brief Copy constructor.
 		      ///
 		      /// Copy Constructor.
 		      GraphMap(const GraphMap&) : Parent() {}
 		      /// \brief Assignment operator.
 		      ///
 		      /// Assignment operator. It does not mofify the underlying graph,
 		      /// it just iterates on the current item set and set the  map
 		      /// with the value returned by the assigned map.
 		      template <typename CMap>
 		      GraphMap& operator=(const CMap&) {
 		        checkConcept<ReadMap<Key, Value>, CMap>();
 		        return *this;
+		      }
 		    public:
 		      template<typename _Map>
 		      struct Constraints {
 		        void constraints() {
 		          checkConcept
 		            <ReferenceMap<Key, Value, Value&, const Value&>, _Map>();
 		          _Map m1(g);
 		          _Map m2(g,t);
 		          // Copy constructor
 		          // _Map m3(m);
 		          // Assignment operator
 		          // ReadMap<Key, Value> cmap;
 		          // m3 = cmap;
 		          ignore_unused_variable_warning(m1);
 		          ignore_unused_variable_warning(m2);
 		          // ignore_unused_variable_warning(m3);
+		        }
 		        const _Map &m;
 		        const GR &g;
 		        const typename GraphMap::Value &t;
 		      };
 		    };
 		    /// \brief Skeleton class for mappable directed graphs.
 		    ///
 		    /// This class describes the interface of mappable directed graphs.
-		    /// It extends \ref BaseDigraphComponent with the standard digraph
 		    /// It extends \ref BaseDigraphComponent with the standard digraph
 		    /// map classes, namely \c NodeMap and \c ArcMap.
 		    /// This concept is part of the Digraph concept.
 		    template <typename BAS = BaseDigraphComponent>
 		    class MappableDigraphComponent : public BAS  {
 		    public:
 		      typedef BAS Base;
 		      typedef typename Base::Node Node;
 		      typedef typename Base::Arc Arc;
 		      typedef MappableDigraphComponent Digraph;
 		      /// \brief Standard graph map for the nodes.
 		      ///
 		      /// Standard graph map for the nodes.
 		      /// It conforms to the ReferenceMap concept.
 		      template <typename V>
 		      class NodeMap : public GraphMap<MappableDigraphComponent, Node, V> {
 		        typedef GraphMap<MappableDigraphComponent, Node, V> Parent;
 		      public:
 		        /// \brief Construct a new map.
 		        ///
 		        /// Construct a new map for the digraph.
@@ -1184,49 +1184,49 @@
+		          }
 		          { // int map test
 		            typedef typename _Digraph::template ArcMap<int> IntArcMap;
 		            checkConcept<GraphMap<_Digraph, typename _Digraph::Arc, int>,
 		              IntArcMap >();
 		          } { // bool map test
 		            typedef typename _Digraph::template ArcMap<bool> BoolArcMap;
 		            checkConcept<GraphMap<_Digraph, typename _Digraph::Arc, bool>,
 		              BoolArcMap >();
 		          } { // Dummy map test
 		            typedef typename _Digraph::template ArcMap<Dummy> DummyArcMap;
 		            checkConcept<GraphMap<_Digraph, typename _Digraph::Arc, Dummy>,
 		              DummyArcMap >();
+		          }
+		        }
 		        const _Digraph& digraph;
 		      };
 		    };
 		    /// \brief Skeleton class for mappable undirected graphs.
 		    ///
 		    /// This class describes the interface of mappable undirected graphs.
-		    /// It extends \ref MappableDigraphComponent with the standard graph
 		    /// It extends \ref MappableDigraphComponent with the standard graph
 		    /// map class for edges (\c EdgeMap).
 		    /// This concept is part of the Graph concept.
 		    template <typename BAS = BaseGraphComponent>
 		    class MappableGraphComponent : public MappableDigraphComponent<BAS>  {
 		    public:
 		      typedef BAS Base;
 		      typedef typename Base::Edge Edge;
 		      typedef MappableGraphComponent Graph;
 		      /// \brief Standard graph map for the edges.
 		      ///
 		      /// Standard graph map for the edges.
 		      /// It conforms to the ReferenceMap concept.
 		      template <typename V>
 		      class EdgeMap : public GraphMap<MappableGraphComponent, Edge, V> {
 		        typedef GraphMap<MappableGraphComponent, Edge, V> Parent;
 		      public:
 		        /// \brief Construct a new map.
 		        ///
 		        /// Construct a new map for the graph.
 		        explicit EdgeMap(const MappableGraphComponent& graph)
@@ -1269,176 +1269,176 @@
 		          checkConcept<MappableDigraphComponent<Base>, _Graph>();
 		          { // int map test
 		            typedef typename _Graph::template EdgeMap<int> IntEdgeMap;
 		            checkConcept<GraphMap<_Graph, typename _Graph::Edge, int>,
 		              IntEdgeMap >();
 		          } { // bool map test
 		            typedef typename _Graph::template EdgeMap<bool> BoolEdgeMap;
 		            checkConcept<GraphMap<_Graph, typename _Graph::Edge, bool>,
 		              BoolEdgeMap >();
 		          } { // Dummy map test
 		            typedef typename _Graph::template EdgeMap<Dummy> DummyEdgeMap;
 		            checkConcept<GraphMap<_Graph, typename _Graph::Edge, Dummy>,
 		              DummyEdgeMap >();
+		          }
+		        }
 		        const _Graph& graph;
 		      };
 		    };
 		    /// \brief Skeleton class for extendable directed graphs.
 		    ///
 		    /// This class describes the interface of extendable directed graphs.
-		    /// It extends \ref BaseDigraphComponent with functions for adding
 		    /// It extends \ref BaseDigraphComponent with functions for adding
 		    /// nodes and arcs to the digraph.
 		    /// This concept requires \ref AlterableDigraphComponent.
 		    template <typename BAS = BaseDigraphComponent>
 		    class ExtendableDigraphComponent : public BAS {
 		    public:
 		      typedef BAS Base;
 		      typedef typename Base::Node Node;
 		      typedef typename Base::Arc Arc;
 		      /// \brief Add a new node to the digraph.
 		      ///
 		      /// This function adds a new node to the digraph.
 		      Node addNode() {
 		        return INVALID;
+		      }
 		      /// \brief Add a new arc connecting the given two nodes.
 		      ///
 		      /// This function adds a new arc connecting the given two nodes
 		      /// of the digraph.
 		      Arc addArc(const Node&, const Node&) {
 		        return INVALID;
+		      }
 		      template <typename _Digraph>
 		      struct Constraints {
 		        void constraints() {
 		          checkConcept<Base, _Digraph>();
 		          typename _Digraph::Node node_a, node_b;
 		          node_a = digraph.addNode();
 		          node_b = digraph.addNode();
 		          typename _Digraph::Arc arc;
 		          arc = digraph.addArc(node_a, node_b);
+		        }
 		        _Digraph& digraph;
 		      };
 		    };
 		    /// \brief Skeleton class for extendable undirected graphs.
 		    ///
 		    /// This class describes the interface of extendable undirected graphs.
-		    /// It extends \ref BaseGraphComponent with functions for adding
 		    /// It extends \ref BaseGraphComponent with functions for adding
 		    /// nodes and edges to the graph.
 		    /// This concept requires \ref AlterableGraphComponent.
 		    template <typename BAS = BaseGraphComponent>
 		    class ExtendableGraphComponent : public BAS {
 		    public:
 		      typedef BAS Base;
 		      typedef typename Base::Node Node;
 		      typedef typename Base::Edge Edge;
 		      /// \brief Add a new node to the digraph.
 		      ///
 		      /// This function adds a new node to the digraph.
 		      Node addNode() {
 		        return INVALID;
+		      }
 		      /// \brief Add a new edge connecting the given two nodes.
 		      ///
 		      /// This function adds a new edge connecting the given two nodes
 		      /// of the graph.
 		      Edge addEdge(const Node&, const Node&) {
 		        return INVALID;
+		      }
 		      template <typename _Graph>
 		      struct Constraints {
 		        void constraints() {
 		          checkConcept<Base, _Graph>();
 		          typename _Graph::Node node_a, node_b;
 		          node_a = graph.addNode();
 		          node_b = graph.addNode();
 		          typename _Graph::Edge edge;
 		          edge = graph.addEdge(node_a, node_b);
+		        }
 		        _Graph& graph;
 		      };
 		    };
 		    /// \brief Skeleton class for erasable directed graphs.
 		    ///
 		    /// This class describes the interface of erasable directed graphs.
-		    /// It extends \ref BaseDigraphComponent with functions for removing
 		    /// It extends \ref BaseDigraphComponent with functions for removing
 		    /// nodes and arcs from the digraph.
 		    /// This concept requires \ref AlterableDigraphComponent.
 		    template <typename BAS = BaseDigraphComponent>
 		    class ErasableDigraphComponent : public BAS {
 		    public:
 		      typedef BAS Base;
 		      typedef typename Base::Node Node;
 		      typedef typename Base::Arc Arc;
 		      /// \brief Erase a node from the digraph.
 		      ///
-		      /// This function erases the given node from the digraph and all arcs
 		      /// This function erases the given node from the digraph and all arcs
 		      /// connected to the node.
 		      void erase(const Node&) {}
 		      /// \brief Erase an arc from the digraph.
 		      ///
 		      /// This function erases the given arc from the digraph.
 		      void erase(const Arc&) {}
 		      template <typename _Digraph>
 		      struct Constraints {
 		        void constraints() {
 		          checkConcept<Base, _Digraph>();
 		          const typename _Digraph::Node node(INVALID);
 		          digraph.erase(node);
 		          const typename _Digraph::Arc arc(INVALID);
 		          digraph.erase(arc);
+		        }
 		        _Digraph& digraph;
 		      };
 		    };
 		    /// \brief Skeleton class for erasable undirected graphs.
 		    ///
 		    /// This class describes the interface of erasable undirected graphs.
-		    /// It extends \ref BaseGraphComponent with functions for removing
 		    /// It extends \ref BaseGraphComponent with functions for removing
 		    /// nodes and edges from the graph.
 		    /// This concept requires \ref AlterableGraphComponent.
 		    template <typename BAS = BaseGraphComponent>
 		    class ErasableGraphComponent : public BAS {
 		    public:
 		      typedef BAS Base;
 		      typedef typename Base::Node Node;
 		      typedef typename Base::Edge Edge;
 		      /// \brief Erase a node from the graph.
 		      ///
 		      /// This function erases the given node from the graph and all edges
 		      /// connected to the node.
 		      void erase(const Node&) {}
 		      /// \brief Erase an edge from the digraph.
 		      ///
 		      /// This function erases the given edge from the digraph.
 		      void erase(const Edge&) {}
 		      template <typename _Graph>
 		      struct Constraints {
 		        void constraints() {

lemon/concepts/heap.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_CONCEPTS_HEAP_H
 		#define LEMON_CONCEPTS_HEAP_H
 		///\ingroup concept
 		///\file
 		///\brief The concept of heaps.
 		#include <lemon/core.h>
 		#include <lemon/concept_check.h>
 		namespace lemon {
@@ -71,202 +71,202 @@
 		      ///
 		      /// Each item has a state associated to it. It can be "in heap",
 		      /// "pre-heap" or "post-heap". The latter two are indifferent from the
 		      /// heap's point of view, but may be useful to the user.
 		      ///
 		      /// The item-int map must be initialized in such way that it assigns
 		      /// \c PRE_HEAP (<tt>-1</tt>) to any element to be put in the heap.
 		      enum State {
 		        IN_HEAP = 0,    ///< = 0. The "in heap" state constant.
 		        PRE_HEAP = -1,  ///< = -1. The "pre-heap" state constant.
 		        POST_HEAP = -2  ///< = -2. The "post-heap" state constant.
 		      };
 		      /// \brief Constructor.
 		      ///
 		      /// Constructor.
 		      /// \param map A map that assigns \c int values to keys of type
 		      /// \c Item. It is used internally by the heap implementations to
 		      /// handle the cross references. The assigned value must be
 		      /// \c PRE_HEAP (<tt>-1</tt>) for each item.
 		#ifdef DOXYGEN
 		      explicit Heap(ItemIntMap &map) {}
 		#else
 		      explicit Heap(ItemIntMap&) {}
-		#endif
 		#endif
 		      /// \brief Constructor.
 		      ///
 		      /// Constructor.
 		      /// \param map A map that assigns \c int values to keys of type
 		      /// \c Item. It is used internally by the heap implementations to
 		      /// handle the cross references. The assigned value must be
 		      /// \c PRE_HEAP (<tt>-1</tt>) for each item.
 		      /// \param comp The function object used for comparing the priorities.
 		#ifdef DOXYGEN
 		      explicit Heap(ItemIntMap &map, const CMP &comp) {}
 		#else
 		      explicit Heap(ItemIntMap&, const CMP&) {}
-		#endif
 		#endif
 		      /// \brief The number of items stored in the heap.
 		      ///
 		      /// This function returns the number of items stored in the heap.
 		      int size() const { return 0; }
 		      /// \brief Check if the heap is empty.
 		      ///
 		      /// This function returns \c true if the heap is empty.
 		      bool empty() const { return false; }
 		      /// \brief Make the heap empty.
 		      ///
 		      /// This functon makes the heap empty.
 		      /// It does not change the cross reference map. If you want to reuse
 		      /// a heap that is not surely empty, you should first clear it and
 		      /// then you should set the cross reference map to \c PRE_HEAP
 		      /// for each item.
 		      void clear() {}
 		      /// \brief Insert an item into the heap with the given priority.
 		      ///
 		      /// This function inserts the given item into the heap with the
 		      /// given priority.
 		      /// \param i The item to insert.
 		      /// \param p The priority of the item.
 		      /// \pre \e i must not be stored in the heap.
 		#ifdef DOXYGEN
 		      void push(const Item &i, const Prio &p) {}
 		#else
 		      void push(const Item&, const Prio&) {}
-		#endif
 		#endif
 		      /// \brief Return the item having minimum priority.
 		      ///
 		      /// This function returns the item having minimum priority.
 		      /// \pre The heap must be non-empty.
 		      Item top() const { return Item(); }
 		      /// \brief The minimum priority.
 		      ///
 		      /// This function returns the minimum priority.
 		      /// \pre The heap must be non-empty.
 		      Prio prio() const { return Prio(); }
 		      /// \brief Remove the item having minimum priority.
 		      ///
 		      /// This function removes the item having minimum priority.
 		      /// \pre The heap must be non-empty.
 		      void pop() {}
 		      /// \brief Remove the given item from the heap.
 		      ///
 		      /// This function removes the given item from the heap if it is
 		      /// already stored.
 		      /// \param i The item to delete.
 		      /// \pre \e i must be in the heap.
 		#ifdef DOXYGEN
 		      void erase(const Item &i) {}
 		#else
 		      void erase(const Item&) {}
-		#endif
 		#endif
 		      /// \brief The priority of the given item.
 		      ///
 		      /// This function returns the priority of the given item.
 		      /// \param i The item.
 		      /// \pre \e i must be in the heap.
 		#ifdef DOXYGEN
 		      Prio operator[](const Item &i) const {}
 		#else
 		      Prio operator[](const Item&) const { return Prio(); }
-		#endif
 		#endif
 		      /// \brief Set the priority of an item or insert it, if it is
 		      /// not stored in the heap.
 		      ///
 		      /// This method sets the priority of the given item if it is
 		      /// already stored in the heap. Otherwise it inserts the given
 		      /// item into the heap with the given priority.
 		      ///
 		      /// \param i The item.
 		      /// \param p The priority.
 		#ifdef DOXYGEN
 		      void set(const Item &i, const Prio &p) {}
 		#else
 		      void set(const Item&, const Prio&) {}
-		#endif
 		#endif
 		      /// \brief Decrease the priority of an item to the given value.
 		      ///
 		      /// This function decreases the priority of an item to the given value.
 		      /// \param i The item.
 		      /// \param p The priority.
 		      /// \pre \e i must be stored in the heap with priority at least \e p.
 		#ifdef DOXYGEN
 		      void decrease(const Item &i, const Prio &p) {}
 		#else
 		      void decrease(const Item&, const Prio&) {}
-		#endif
 		#endif
 		      /// \brief Increase the priority of an item to the given value.
 		      ///
 		      /// This function increases the priority of an item to the given value.
 		      /// \param i The item.
 		      /// \param p The priority.
 		      /// \pre \e i must be stored in the heap with priority at most \e p.
 		#ifdef DOXYGEN
 		      void increase(const Item &i, const Prio &p) {}
 		#else
 		      void increase(const Item&, const Prio&) {}
-		#endif
 		#endif
 		      /// \brief Return the state of an item.
 		      ///
 		      /// This method returns \c PRE_HEAP if the given item has never
 		      /// been in the heap, \c IN_HEAP if it is in the heap at the moment,
 		      /// and \c POST_HEAP otherwise.
 		      /// In the latter case it is possible that the item will get back
 		      /// to the heap again.
 		      /// \param i The item.
 		#ifdef DOXYGEN
 		      State state(const Item &i) const {}
 		#else
 		      State state(const Item&) const { return PRE_HEAP; }
-		#endif
 		#endif
 		      /// \brief Set the state of an item in the heap.
 		      ///
 		      /// This function sets the state of the given item in the heap.
 		      /// It can be used to manually clear the heap when it is important
 		      /// to achive better time complexity.
 		      /// \param i The item.
 		      /// \param st The state. It should not be \c IN_HEAP.
 		#ifdef DOXYGEN
 		      void state(const Item& i, State st) {}
 		#else
 		      void state(const Item&, State) {}
-		#endif
 		#endif
 		      template <typename _Heap>
 		      struct Constraints {
 		      public:
 		        void constraints() {
 		          typedef typename _Heap::Item OwnItem;
 		          typedef typename _Heap::Prio OwnPrio;
 		          typedef typename _Heap::State OwnState;
 		          Item item;
 		          Prio prio;
 		          item=Item();
 		          prio=Prio();
 		          ignore_unused_variable_warning(item);
 		          ignore_unused_variable_warning(prio);
 		          OwnItem own_item;
 		          OwnPrio own_prio;
 		          OwnState own_state;
 		          own_item=Item();
 		          own_prio=Prio();
 		          ignore_unused_variable_warning(own_item);
 		          ignore_unused_variable_warning(own_prio);

lemon/connectivity.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_CONNECTIVITY_H
 		#define LEMON_CONNECTIVITY_H
 		#include <lemon/dfs.h>
 		#include <lemon/bfs.h>
 		#include <lemon/core.h>
 		#include <lemon/maps.h>
 		#include <lemon/adaptors.h>
 		#include <lemon/concepts/digraph.h>
 		#include <lemon/concepts/graph.h>
@@ -237,49 +237,49 @@
+		         }
+		      }
 		    private:
 		      const Digraph& _digraph;
 		      ArcMap& _cutMap;
 		      int& _cutNum;
 		      typename Digraph::template NodeMap<int> _compMap;
 		      int _num;
 		    };
+		  }
 		  /// \ingroup graph_properties
 		  ///
 		  /// \brief Check whether a directed graph is strongly connected.
 		  ///
 		  /// This function checks whether the given directed graph is strongly
 		  /// connected, i.e. any two nodes of the digraph are
 		  /// connected with directed paths in both direction.
 		  ///
 		  /// \return \c true if the digraph is strongly connected.
 		  /// \note By definition, the empty digraph is strongly connected.
-		  ///
 		  ///
 		  /// \see countStronglyConnectedComponents(), stronglyConnectedComponents()
 		  /// \see connected()
 		  template <typename Digraph>
 		  bool stronglyConnected(const Digraph& digraph) {
 		    checkConcept<concepts::Digraph, Digraph>();
 		    typedef typename Digraph::Node Node;
 		    typedef typename Digraph::NodeIt NodeIt;
 		    typename Digraph::Node source = NodeIt(digraph);
 		    if (source == INVALID) return true;
 		    using namespace _connectivity_bits;
 		    typedef DfsVisitor<Digraph> Visitor;
 		    Visitor visitor;
 		    DfsVisit<Digraph, Visitor> dfs(digraph, visitor);
 		    dfs.init();
 		    dfs.addSource(source);
 		    dfs.start();
 		    for (NodeIt it(digraph); it != INVALID; ++it) {
 		      if (!dfs.reached(it)) {
@@ -289,49 +289,49 @@
 		    typedef ReverseDigraph<const Digraph> RDigraph;
 		    typedef typename RDigraph::NodeIt RNodeIt;
 		    RDigraph rdigraph(digraph);
 		    typedef DfsVisitor<RDigraph> RVisitor;
 		    RVisitor rvisitor;
 		    DfsVisit<RDigraph, RVisitor> rdfs(rdigraph, rvisitor);
 		    rdfs.init();
 		    rdfs.addSource(source);
 		    rdfs.start();
 		    for (RNodeIt it(rdigraph); it != INVALID; ++it) {
 		      if (!rdfs.reached(it)) {
 		        return false;
+		      }
+		    }
 		    return true;
+		  }
 		  /// \ingroup graph_properties
 		  ///
-		  /// \brief Count the number of strongly connected components of a
 		  /// \brief Count the number of strongly connected components of a
 		  /// directed graph
 		  ///
 		  /// This function counts the number of strongly connected components of
 		  /// the given directed graph.
 		  ///
 		  /// The strongly connected components are the classes of an
 		  /// equivalence relation on the nodes of a digraph. Two nodes are in
 		  /// the same class if they are connected with directed paths in both
 		  /// direction.
 		  ///
 		  /// \return The number of strongly connected components.
 		  /// \note By definition, the empty digraph has zero
 		  /// strongly connected components.
 		  ///
 		  /// \see stronglyConnected(), stronglyConnectedComponents()
 		  template <typename Digraph>
 		  int countStronglyConnectedComponents(const Digraph& digraph) {
 		    checkConcept<concepts::Digraph, Digraph>();
 		    using namespace _connectivity_bits;
 		    typedef typename Digraph::Node Node;
 		    typedef typename Digraph::Arc Arc;
 		    typedef typename Digraph::NodeIt NodeIt;
@@ -723,63 +723,63 @@
+		      }
 		    private:
 		      const Digraph& _graph;
 		      NodeMap& _cutMap;
 		      int& _cutNum;
 		      typename Digraph::template NodeMap<int> _numMap;
 		      typename Digraph::template NodeMap<int> _retMap;
 		      typename Digraph::template NodeMap<Node> _predMap;
 		      std::stack<Edge> _edgeStack;
 		      int _num;
 		      bool rootCut;
 		    };
+		  }
 		  template <typename Graph>
 		  int countBiNodeConnectedComponents(const Graph& graph);
 		  /// \ingroup graph_properties
 		  ///
 		  /// \brief Check whether an undirected graph is bi-node-connected.
 		  ///
-		  /// This function checks whether the given undirected graph is
 		  /// This function checks whether the given undirected graph is
 		  /// bi-node-connected, i.e. any two edges are on same circle.
 		  ///
 		  /// \return \c true if the graph bi-node-connected.
 		  /// \note By definition, the empty graph is bi-node-connected.
 		  ///
 		  /// \see countBiNodeConnectedComponents(), biNodeConnectedComponents()
 		  template <typename Graph>
 		  bool biNodeConnected(const Graph& graph) {
 		    return countBiNodeConnectedComponents(graph) <= 1;
+		  }
 		  /// \ingroup graph_properties
 		  ///
-		  /// \brief Count the number of bi-node-connected components of an
 		  /// \brief Count the number of bi-node-connected components of an
 		  /// undirected graph.
 		  ///
 		  /// This function counts the number of bi-node-connected components of
 		  /// the given undirected graph.
 		  ///
 		  /// The bi-node-connected components are the classes of an equivalence
 		  /// relation on the edges of a undirected graph. Two edges are in the
 		  /// same class if they are on same circle.
 		  ///
 		  /// \return The number of bi-node-connected components.
 		  ///
 		  /// \see biNodeConnected(), biNodeConnectedComponents()
 		  template <typename Graph>
 		  int countBiNodeConnectedComponents(const Graph& graph) {
 		    checkConcept<concepts::Graph, Graph>();
 		    typedef typename Graph::NodeIt NodeIt;
 		    using namespace _connectivity_bits;
 		    typedef CountBiNodeConnectedComponentsVisitor<Graph> Visitor;
 		    int compNum = 0;
 		    Visitor visitor(graph, compNum);
@@ -791,95 +791,95 @@
 		        dfs.addSource(it);
 		        dfs.start();
+		      }
+		    }
 		    return compNum;
+		  }
 		  /// \ingroup graph_properties
 		  ///
 		  /// \brief Find the bi-node-connected components of an undirected graph.
 		  ///
 		  /// This function finds the bi-node-connected components of the given
 		  /// undirected graph.
 		  ///
 		  /// The bi-node-connected components are the classes of an equivalence
 		  /// relation on the edges of a undirected graph. Two edges are in the
 		  /// same class if they are on same circle.
 		  ///
 		  /// \image html node_biconnected_components.png
 		  /// \image latex node_biconnected_components.eps "bi-node-connected components" width=\textwidth
 		  ///
 		  /// \param graph The undirected graph.
 		  /// \retval compMap A writable edge map. The values will be set from 0
 		  /// to the number of the bi-node-connected components minus one. Each
-		  /// value of the map will be set exactly once, and the values of a
 		  /// value of the map will be set exactly once, and the values of a
 		  /// certain component will be set continuously.
 		  /// \return The number of bi-node-connected components.
 		  ///
 		  /// \see biNodeConnected(), countBiNodeConnectedComponents()
 		  template <typename Graph, typename EdgeMap>
 		  int biNodeConnectedComponents(const Graph& graph,
 		                                EdgeMap& compMap) {
 		    checkConcept<concepts::Graph, Graph>();
 		    typedef typename Graph::NodeIt NodeIt;
 		    typedef typename Graph::Edge Edge;
 		    checkConcept<concepts::WriteMap<Edge, int>, EdgeMap>();
 		    using namespace _connectivity_bits;
 		    typedef BiNodeConnectedComponentsVisitor<Graph, EdgeMap> Visitor;
 		    int compNum = 0;
 		    Visitor visitor(graph, compMap, compNum);
 		    DfsVisit<Graph, Visitor> dfs(graph, visitor);
 		    dfs.init();
 		    for (NodeIt it(graph); it != INVALID; ++it) {
 		      if (!dfs.reached(it)) {
 		        dfs.addSource(it);
 		        dfs.start();
+		      }
+		    }
 		    return compNum;
+		  }
 		  /// \ingroup graph_properties
 		  ///
 		  /// \brief Find the bi-node-connected cut nodes in an undirected graph.
 		  ///
 		  /// This function finds the bi-node-connected cut nodes in the given
 		  /// undirected graph.
 		  ///
 		  /// The bi-node-connected components are the classes of an equivalence
 		  /// relation on the edges of a undirected graph. Two edges are in the
 		  /// same class if they are on same circle.
 		  /// The bi-node-connected components are separted by the cut nodes of
 		  /// the components.
 		  ///
 		  /// \param graph The undirected graph.
-		  /// \retval cutMap A writable node map. The values will be set to
 		  /// \retval cutMap A writable node map. The values will be set to
 		  /// \c true for the nodes that separate two or more components
 		  /// (exactly once for each cut node), and will not be changed for
 		  /// other nodes.
 		  /// \return The number of the cut nodes.
 		  ///
 		  /// \see biNodeConnected(), biNodeConnectedComponents()
 		  template <typename Graph, typename NodeMap>
 		  int biNodeConnectedCutNodes(const Graph& graph, NodeMap& cutMap) {
 		    checkConcept<concepts::Graph, Graph>();
 		    typedef typename Graph::Node Node;
 		    typedef typename Graph::NodeIt NodeIt;
 		    checkConcept<concepts::WriteMap<Node, bool>, NodeMap>();
 		    using namespace _connectivity_bits;
 		    typedef BiNodeConnectedCutNodesVisitor<Graph, NodeMap> Visitor;
 		    int cutNum = 0;
 		    Visitor visitor(graph, cutMap, cutNum);
 		    DfsVisit<Graph, Visitor> dfs(graph, visitor);
 		    dfs.init();
 		    for (NodeIt it(graph); it != INVALID; ++it) {
@@ -1064,49 +1064,49 @@
 		        if (_retMap[_graph.source(edge)] > _retMap[_graph.target(edge)]) {
 		          _retMap.set(_graph.source(edge), _retMap[_graph.target(edge)]);
+		        }
+		      }
 		    private:
 		      const Digraph& _graph;
 		      ArcMap& _cutMap;
 		      int& _cutNum;
 		      typename Digraph::template NodeMap<int> _numMap;
 		      typename Digraph::template NodeMap<int> _retMap;
 		      typename Digraph::template NodeMap<Arc> _predMap;
 		      int _num;
 		    };
+		  }
 		  template <typename Graph>
 		  int countBiEdgeConnectedComponents(const Graph& graph);
 		  /// \ingroup graph_properties
 		  ///
 		  /// \brief Check whether an undirected graph is bi-edge-connected.
 		  ///
-		  /// This function checks whether the given undirected graph is
 		  /// This function checks whether the given undirected graph is
 		  /// bi-edge-connected, i.e. any two nodes are connected with at least
 		  /// two edge-disjoint paths.
 		  ///
 		  /// \return \c true if the graph is bi-edge-connected.
 		  /// \note By definition, the empty graph is bi-edge-connected.
 		  ///
 		  /// \see countBiEdgeConnectedComponents(), biEdgeConnectedComponents()
 		  template <typename Graph>
 		  bool biEdgeConnected(const Graph& graph) {
 		    return countBiEdgeConnectedComponents(graph) <= 1;
+		  }
 		  /// \ingroup graph_properties
 		  ///
 		  /// \brief Count the number of bi-edge-connected components of an
 		  /// undirected graph.
 		  ///
 		  /// This function counts the number of bi-edge-connected components of
 		  /// the given undirected graph.
 		  ///
 		  /// The bi-edge-connected components are the classes of an equivalence
 		  /// relation on the nodes of an undirected graph. Two nodes are in the
 		  /// same class if they are connected with at least two edge-disjoint
 		  /// paths.
@@ -1171,49 +1171,49 @@
 		    using namespace _connectivity_bits;
 		    typedef BiEdgeConnectedComponentsVisitor<Graph, NodeMap> Visitor;
 		    int compNum = 0;
 		    Visitor visitor(graph, compMap, compNum);
 		    DfsVisit<Graph, Visitor> dfs(graph, visitor);
 		    dfs.init();
 		    for (NodeIt it(graph); it != INVALID; ++it) {
 		      if (!dfs.reached(it)) {
 		        dfs.addSource(it);
 		        dfs.start();
+		      }
+		    }
 		    return compNum;
+		  }
 		  /// \ingroup graph_properties
 		  ///
 		  /// \brief Find the bi-edge-connected cut edges in an undirected graph.
 		  ///
 		  /// This function finds the bi-edge-connected cut edges in the given
-		  /// undirected graph.
 		  /// undirected graph.
 		  ///
 		  /// The bi-edge-connected components are the classes of an equivalence
 		  /// relation on the nodes of an undirected graph. Two nodes are in the
 		  /// same class if they are connected with at least two edge-disjoint
 		  /// paths.
 		  /// The bi-edge-connected components are separted by the cut edges of
 		  /// the components.
 		  ///
 		  /// \param graph The undirected graph.
 		  /// \retval cutMap A writable edge map. The values will be set to \c true
 		  /// for the cut edges (exactly once for each cut edge), and will not be
 		  /// changed for other edges.
 		  /// \return The number of cut edges.
 		  ///
 		  /// \see biEdgeConnected(), biEdgeConnectedComponents()
 		  template <typename Graph, typename EdgeMap>
 		  int biEdgeConnectedCutEdges(const Graph& graph, EdgeMap& cutMap) {
 		    checkConcept<concepts::Graph, Graph>();
 		    typedef typename Graph::NodeIt NodeIt;
 		    typedef typename Graph::Edge Edge;
 		    checkConcept<concepts::WriteMap<Edge, bool>, EdgeMap>();
 		    using namespace _connectivity_bits;
@@ -1328,49 +1328,49 @@
 		      visitor(order, countNodes(digraph));
 		    DfsVisit<Digraph, TopologicalSortVisitor<Digraph, NodeMap> >
 		      dfs(digraph, visitor);
 		    dfs.init();
 		    for (NodeIt it(digraph); it != INVALID; ++it) {
 		      if (!dfs.reached(it)) {
 		        dfs.addSource(it);
 		        dfs.start();
+		      }
+		    }
+		  }
 		  /// \ingroup graph_properties
 		  ///
 		  /// \brief Sort the nodes of a DAG into topolgical order.
 		  ///
 		  /// This function sorts the nodes of the given acyclic digraph (DAG)
 		  /// into topolgical order and also checks whether the given digraph
 		  /// is DAG.
 		  ///
 		  /// \param digraph The digraph.
 		  /// \retval order A readable and writable node map. The values will be
-		  /// set from 0 to the number of the nodes in the digraph minus one.
 		  /// set from 0 to the number of the nodes in the digraph minus one.
 		  /// Each value of the map will be set exactly once, and the values will
 		  /// be set descending order.
 		  /// \return \c false if the digraph is not DAG.
 		  ///
 		  /// \see dag(), topologicalSort()
 		  template <typename Digraph, typename NodeMap>
 		  bool checkedTopologicalSort(const Digraph& digraph, NodeMap& order) {
 		    using namespace _connectivity_bits;
 		    checkConcept<concepts::Digraph, Digraph>();
 		    checkConcept<concepts::ReadWriteMap<typename Digraph::Node, int>,
 		      NodeMap>();
 		    typedef typename Digraph::Node Node;
 		    typedef typename Digraph::NodeIt NodeIt;
 		    typedef typename Digraph::Arc Arc;
 		    for (NodeIt it(digraph); it != INVALID; ++it) {
 		      order.set(it, -1);
+		    }
 		    TopologicalSortVisitor<Digraph, NodeMap>
 		      visitor(order, countNodes(digraph));

lemon/core.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_CORE_H
 		#define LEMON_CORE_H
 		#include <vector>
 		#include <algorithm>
 		#include <lemon/config.h>
 		#include <lemon/bits/enable_if.h>
 		#include <lemon/bits/traits.h>
 		#include <lemon/assert.h>
@@ -1218,88 +1218,89 @@
 		  ///time bound for arc look-ups. This class also guarantees the
 		  ///optimal time bound in a constant factor for any distribution of
 		  ///queries.
 		  ///
 		  ///\tparam GR The type of the underlying digraph.
 		  ///
 		  ///\sa ArcLookUp
 		  ///\sa AllArcLookUp
 		  template <typename GR>
 		  class DynArcLookUp
 		    : protected ItemSetTraits<GR, typename GR::Arc>::ItemNotifier::ObserverBase
+		  {
 		    typedef typename ItemSetTraits<GR, typename GR::Arc>
 		    ::ItemNotifier::ObserverBase Parent;
 		    TEMPLATE_DIGRAPH_TYPEDEFS(GR);
 		  public:
 		    /// The Digraph type
 		    typedef GR Digraph;
 		  protected:
-		    class AutoNodeMap : public ItemSetTraits<GR, Node>::template Map<Arc>::Type {
 		    class AutoNodeMap : public ItemSetTraits<GR, Node>::template Map<Arc>::Type
+		    {
 		      typedef typename ItemSetTraits<GR, Node>::template Map<Arc>::Type Parent;
 		    public:
 		      AutoNodeMap(const GR& digraph) : Parent(digraph, INVALID) {}
 		      virtual void add(const Node& node) {
 		        Parent::add(node);
 		        Parent::set(node, INVALID);
+		      }
 		      virtual void add(const std::vector<Node>& nodes) {
 		        Parent::add(nodes);
 		        for (int i = 0; i < int(nodes.size()); ++i) {
 		          Parent::set(nodes[i], INVALID);
+		        }
+		      }
 		      virtual void build() {
 		        Parent::build();
 		        Node it;
 		        typename Parent::Notifier* nf = Parent::notifier();
 		        for (nf->first(it); it != INVALID; nf->next(it)) {
 		          Parent::set(it, INVALID);
+		        }
+		      }
 		    };
 		    class ArcLess {
 		      const Digraph &g;
 		    public:
 		      ArcLess(const Digraph &_g) : g(_g) {}
 		      bool operator()(Arc a,Arc b) const
+		      {
 		        return g.target(a)<g.target(b);
+		      }
 		    };
-		  protected:
 		  protected:
 		    const Digraph &_g;
 		    AutoNodeMap _head;
 		    typename Digraph::template ArcMap<Arc> _parent;
 		    typename Digraph::template ArcMap<Arc> _left;
 		    typename Digraph::template ArcMap<Arc> _right;
 		  public:
 		    ///Constructor
 		    ///Constructor.
 		    ///
 		    ///It builds up the search database.
 		    DynArcLookUp(const Digraph &g)
 		      : _g(g),_head(g),_parent(g),_left(g),_right(g)
+		    {
 		      Parent::attach(_g.notifier(typename Digraph::Arc()));
 		      refresh();
+		    }
 		  protected:
 		    virtual void add(const Arc& arc) {

lemon/cost_scaling.h

Show inline comments

 		/* -*- C++ -*-
+		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library
+		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2008
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_COST_SCALING_H
 		#define LEMON_COST_SCALING_H
 		/// \ingroup min_cost_flow_algs
 		/// \file
 		/// \brief Cost scaling algorithm for finding a minimum cost flow.
 		#include <vector>
 		#include <deque>
 		#include <limits>
@@ -71,49 +71,49 @@
 		  // Default traits class for integer cost types
 		  template <typename GR, typename V, typename C>
 		  struct CostScalingDefaultTraits<GR, V, C, true>
+		  {
 		    typedef GR Digraph;
 		    typedef V Value;
 		    typedef C Cost;
 		#ifdef LEMON_HAVE_LONG_LONG
 		    typedef long long LargeCost;
 		#else
 		    typedef long LargeCost;
 		#endif
 		  };
 		  /// \addtogroup min_cost_flow_algs
 		  /// @{
 		  /// \brief Implementation of the Cost Scaling algorithm for
 		  /// finding a \ref min_cost_flow "minimum cost flow".
 		  ///
 		  /// \ref CostScaling implements a cost scaling algorithm that performs
 		  /// push/augment and relabel operations for finding a \ref min_cost_flow
 		  /// "minimum cost flow" \ref amo93networkflows, \ref goldberg90approximation,
-		  /// \ref goldberg97efficient, \ref bunnagel98efficient.
 		  /// \ref goldberg97efficient, \ref bunnagel98efficient.
 		  /// It is a highly efficient primal-dual solution method, which
 		  /// can be viewed as the generalization of the \ref Preflow
 		  /// "preflow push-relabel" algorithm for the maximum flow problem.
 		  ///
 		  /// Most of the parameters of the problem (except for the digraph)
 		  /// can be given using separate functions, and the algorithm can be
 		  /// executed using the \ref run() function. If some parameters are not
 		  /// specified, then default values will be used.
 		  ///
 		  /// \tparam GR The digraph type the algorithm runs on.
 		  /// \tparam V The number type used for flow amounts, capacity bounds
 		  /// and supply values in the algorithm. By default, it is \c int.
 		  /// \tparam C The number type used for costs and potentials in the
 		  /// algorithm. By default, it is the same as \c V.
 		  /// \tparam TR The traits class that defines various types used by the
 		  /// algorithm. By default, it is \ref CostScalingDefaultTraits
 		  /// "CostScalingDefaultTraits<GR, V, C>".
 		  /// In most cases, this parameter should not be set directly,
 		  /// consider to use the named template parameters instead.
 		  ///
 		  /// \warning Both number types must be signed and all input data must
 		  /// be integer.
 		  /// \warning This algorithm does not support negative costs for such
 		  /// arcs that have infinite upper bound.
@@ -168,84 +168,84 @@
 		      /// these cases.
 		      UNBOUNDED
 		    };
 		    /// \brief Constants for selecting the internal method.
 		    ///
 		    /// Enum type containing constants for selecting the internal method
 		    /// for the \ref run() function.
 		    ///
 		    /// \ref CostScaling provides three internal methods that differ mainly
 		    /// in their base operations, which are used in conjunction with the
 		    /// relabel operation.
 		    /// By default, the so called \ref PARTIAL_AUGMENT
 		    /// "Partial Augment-Relabel" method is used, which proved to be
 		    /// the most efficient and the most robust on various test inputs.
 		    /// However, the other methods can be selected using the \ref run()
 		    /// function with the proper parameter.
 		    enum Method {
 		      /// Local push operations are used, i.e. flow is moved only on one
 		      /// admissible arc at once.
 		      PUSH,
 		      /// Augment operations are used, i.e. flow is moved on admissible
 		      /// paths from a node with excess to a node with deficit.
 		      AUGMENT,
-		      /// Partial augment operations are used, i.e. flow is moved on
 		      /// Partial augment operations are used, i.e. flow is moved on
 		      /// admissible paths started from a node with excess, but the
 		      /// lengths of these paths are limited. This method can be viewed
 		      /// as a combined version of the previous two operations.
 		      PARTIAL_AUGMENT
 		    };
 		  private:
 		    TEMPLATE_DIGRAPH_TYPEDEFS(GR);
 		    typedef std::vector<int> IntVector;
 		    typedef std::vector<Value> ValueVector;
 		    typedef std::vector<Cost> CostVector;
 		    typedef std::vector<LargeCost> LargeCostVector;
 		    typedef std::vector<char> BoolVector;
 		    // Note: vector<char> is used instead of vector<bool> for efficiency reasons
 		  private:
 		    template <typename KT, typename VT>
 		    class StaticVectorMap {
 		    public:
 		      typedef KT Key;
 		      typedef VT Value;
 		      StaticVectorMap(std::vector<Value>& v) : _v(v) {}
 		      const Value& operator[](const Key& key) const {
 		        return _v[StaticDigraph::id(key)];
+		      }
 		      Value& operator[](const Key& key) {
 		        return _v[StaticDigraph::id(key)];
+		      }
 		      void set(const Key& key, const Value& val) {
 		        _v[StaticDigraph::id(key)] = val;
+		      }
 		    private:
 		      std::vector<Value>& _v;
 		    };
 		    typedef StaticVectorMap<StaticDigraph::Node, LargeCost> LargeCostNodeMap;
 		    typedef StaticVectorMap<StaticDigraph::Arc, LargeCost> LargeCostArcMap;
 		  private:
 		    // Data related to the underlying digraph
 		    const GR &_graph;
 		    int _node_num;
 		    int _arc_num;
 		    int _res_node_num;
 		    int _res_arc_num;
 		    int _root;
 		    // Parameters of the problem
 		    bool _have_lower;
 		    Value _sum_supply;
@@ -262,59 +262,59 @@
 		    IntVector _reverse;
 		    // Node and arc data
 		    ValueVector _lower;
 		    ValueVector _upper;
 		    CostVector _scost;
 		    ValueVector _supply;
 		    ValueVector _res_cap;
 		    LargeCostVector _cost;
 		    LargeCostVector _pi;
 		    ValueVector _excess;
 		    IntVector _next_out;
 		    std::deque<int> _active_nodes;
 		    // Data for scaling
 		    LargeCost _epsilon;
 		    int _alpha;
 		    IntVector _buckets;
 		    IntVector _bucket_next;
 		    IntVector _bucket_prev;
 		    IntVector _rank;
 		    int _max_rank;
 		    // Data for a StaticDigraph structure
 		    typedef std::pair<int, int> IntPair;
 		    StaticDigraph _sgr;
 		    std::vector<IntPair> _arc_vec;
 		    std::vector<LargeCost> _cost_vec;
 		    LargeCostArcMap _cost_map;
 		    LargeCostNodeMap _pi_map;
 		  public:
 		    /// \brief Constant for infinite upper bounds (capacities).
 		    ///
 		    /// Constant for infinite upper bounds (capacities).
 		    /// It is \c std::numeric_limits<Value>::infinity() if available,
 		    /// \c std::numeric_limits<Value>::max() otherwise.
 		    const Value INF;
 		  public:
 		    /// \name Named Template Parameters
 		    /// @{
 		    template <typename T>
 		    struct SetLargeCostTraits : public Traits {
 		      typedef T LargeCost;
 		    };
 		    /// \brief \ref named-templ-param "Named parameter" for setting
 		    /// \c LargeCost type.
 		    ///
 		    /// \ref named-templ-param "Named parameter" for setting \c LargeCost
 		    /// type, which is used for internal computations in the algorithm.
 		    /// \c Cost must be convertible to \c LargeCost.
 		    template <typename T>
@@ -327,49 +327,49 @@
 		  protected:
 		    CostScaling() {}
 		  public:
 		    /// \brief Constructor.
 		    ///
 		    /// The constructor of the class.
 		    ///
 		    /// \param graph The digraph the algorithm runs on.
 		    CostScaling(const GR& graph) :
 		      _graph(graph), _node_id(graph), _arc_idf(graph), _arc_idb(graph),
 		      _cost_map(_cost_vec), _pi_map(_pi),
 		      INF(std::numeric_limits<Value>::has_infinity ?
 		          std::numeric_limits<Value>::infinity() :
 		          std::numeric_limits<Value>::max())
+		    {
 		      // Check the number types
 		      LEMON_ASSERT(std::numeric_limits<Value>::is_signed,
 		        "The flow type of CostScaling must be signed");
 		      LEMON_ASSERT(std::numeric_limits<Cost>::is_signed,
 		        "The cost type of CostScaling must be signed");
 		      // Reset data structures
 		      reset();
+		    }
 		    /// \name Parameters
 		    /// The parameters of the algorithm can be specified using these
 		    /// functions.
 		    /// @{
 		    /// \brief Set the lower bounds on the arcs.
 		    ///
 		    /// This function sets the lower bounds on the arcs.
 		    /// If it is not used before calling \ref run(), the lower bounds
 		    /// will be set to zero on all arcs.
 		    ///
 		    /// \param map An arc map storing the lower bounds.
 		    /// Its \c Value type must be convertible to the \c Value type
 		    /// of the algorithm.
 		    ///
 		    /// \return <tt>(*this)</tt>
 		    template <typename LowerMap>
 		    CostScaling& lowerMap(const LowerMap& map) {
 		      _have_lower = true;
@@ -443,49 +443,49 @@
 		    ///
 		    /// This function sets a single source node and a single target node
 		    /// and the required flow value.
 		    /// If neither this function nor \ref supplyMap() is used before
 		    /// calling \ref run(), the supply of each node will be set to zero.
 		    ///
 		    /// Using this function has the same effect as using \ref supplyMap()
 		    /// with such a map in which \c k is assigned to \c s, \c -k is
 		    /// assigned to \c t and all other nodes have zero supply value.
 		    ///
 		    /// \param s The source node.
 		    /// \param t The target node.
 		    /// \param k The required amount of flow from node \c s to node \c t
 		    /// (i.e. the supply of \c s and the demand of \c t).
 		    ///
 		    /// \return <tt>(*this)</tt>
 		    CostScaling& stSupply(const Node& s, const Node& t, Value k) {
 		      for (int i = 0; i != _res_node_num; ++i) {
 		        _supply[i] = 0;
+		      }
 		      _supply[_node_id[s]] =  k;
 		      _supply[_node_id[t]] = -k;
 		      return *this;
+		    }
 		    /// @}
 		    /// \name Execution control
 		    /// The algorithm can be executed using \ref run().
 		    /// @{
 		    /// \brief Run the algorithm.
 		    ///
 		    /// This function runs the algorithm.
 		    /// The paramters can be specified using functions \ref lowerMap(),
 		    /// \ref upperMap(), \ref costMap(), \ref supplyMap(), \ref stSupply().
 		    /// For example,
 		    /// \code
 		    ///   CostScaling<ListDigraph> cs(graph);
 		    ///   cs.lowerMap(lower).upperMap(upper).costMap(cost)
 		    ///     .supplyMap(sup).run();
 		    /// \endcode
 		    ///
 		    /// This function can be called more than once. All the given parameters
 		    /// are kept for the next call, unless \ref resetParams() or \ref reset()
 		    /// is used, thus only the modified parameters have to be set again.
 		    /// If the underlying digraph was also modified after the construction
 		    /// of the class (or the last \ref reset() call), then the \ref reset()
@@ -545,132 +545,132 @@
 		    ///   // (the lower bounds will be set to zero on all arcs)
 		    ///   cs.resetParams();
 		    ///   cs.upperMap(capacity).costMap(cost)
 		    ///     .supplyMap(sup).run();
 		    /// \endcode
 		    ///
 		    /// \return <tt>(*this)</tt>
 		    ///
 		    /// \see reset(), run()
 		    CostScaling& resetParams() {
 		      for (int i = 0; i != _res_node_num; ++i) {
 		        _supply[i] = 0;
+		      }
 		      int limit = _first_out[_root];
 		      for (int j = 0; j != limit; ++j) {
 		        _lower[j] = 0;
 		        _upper[j] = INF;
 		        _scost[j] = _forward[j] ? 1 : -1;
+		      }
 		      for (int j = limit; j != _res_arc_num; ++j) {
 		        _lower[j] = 0;
 		        _upper[j] = INF;
 		        _scost[j] = 0;
 		        _scost[_reverse[j]] = 0;
+		      }
+		      }
 		      _have_lower = false;
 		      return *this;
+		    }
 		    /// \brief Reset all the parameters that have been given before.
 		    ///
 		    /// This function resets all the paramaters that have been given
 		    /// before using functions \ref lowerMap(), \ref upperMap(),
 		    /// \ref costMap(), \ref supplyMap(), \ref stSupply().
 		    ///
 		    /// It is useful for multiple run() calls. If this function is not
 		    /// used, all the parameters given before are kept for the next
 		    /// \ref run() call.
 		    /// However, the underlying digraph must not be modified after this
 		    /// class have been constructed, since it copies and extends the graph.
 		    /// \return <tt>(*this)</tt>
 		    CostScaling& reset() {
 		      // Resize vectors
 		      _node_num = countNodes(_graph);
 		      _arc_num = countArcs(_graph);
 		      _res_node_num = _node_num + 1;
 		      _res_arc_num = 2 * (_arc_num + _node_num);
 		      _root = _node_num;
 		      _first_out.resize(_res_node_num + 1);
 		      _forward.resize(_res_arc_num);
 		      _source.resize(_res_arc_num);
 		      _target.resize(_res_arc_num);
 		      _reverse.resize(_res_arc_num);
 		      _lower.resize(_res_arc_num);
 		      _upper.resize(_res_arc_num);
 		      _scost.resize(_res_arc_num);
 		      _supply.resize(_res_node_num);
 		      _res_cap.resize(_res_arc_num);
 		      _cost.resize(_res_arc_num);
 		      _pi.resize(_res_node_num);
 		      _excess.resize(_res_node_num);
 		      _next_out.resize(_res_node_num);
 		      _arc_vec.reserve(_res_arc_num);
 		      _cost_vec.reserve(_res_arc_num);
 		      // Copy the graph
 		      int i = 0, j = 0, k = 2 * _arc_num + _node_num;
 		      for (NodeIt n(_graph); n != INVALID; ++n, ++i) {
 		        _node_id[n] = i;
+		      }
 		      i = 0;
 		      for (NodeIt n(_graph); n != INVALID; ++n, ++i) {
 		        _first_out[i] = j;
 		        for (OutArcIt a(_graph, n); a != INVALID; ++a, ++j) {
 		          _arc_idf[a] = j;
 		          _forward[j] = true;
 		          _source[j] = i;
 		          _target[j] = _node_id[_graph.runningNode(a)];
+		        }
 		        for (InArcIt a(_graph, n); a != INVALID; ++a, ++j) {
 		          _arc_idb[a] = j;
 		          _forward[j] = false;
 		          _source[j] = i;
 		          _target[j] = _node_id[_graph.runningNode(a)];
+		        }
 		        _forward[j] = false;
 		        _source[j] = i;
 		        _target[j] = _root;
 		        _reverse[j] = k;
 		        _forward[k] = true;
 		        _source[k] = _root;
 		        _target[k] = i;
 		        _reverse[k] = j;
 		        ++j; ++k;
+		      }
 		      _first_out[i] = j;
 		      _first_out[_res_node_num] = k;
 		      for (ArcIt a(_graph); a != INVALID; ++a) {
 		        int fi = _arc_idf[a];
 		        int bi = _arc_idb[a];
 		        _reverse[fi] = bi;
 		        _reverse[bi] = fi;
+		      }
 		      // Reset parameters
 		      resetParams();
 		      return *this;
+		    }
 		    /// @}
 		    /// \name Query Functions
 		    /// The results of the algorithm can be obtained using these
 		    /// functions.\n
 		    /// The \ref run() function must be called before using them.
 		    /// @{
 		    /// \brief Return the total cost of the found flow.
 		    ///
 		    /// This function returns the total cost of the found flow.
 		    /// Its complexity is O(e).
 		    ///
 		    /// \note The return type of the function can be specified as a
 		    /// template parameter. For example,
 		    /// \code
 		    ///   cs.totalCost<double>();
 		    /// \endcode
@@ -737,56 +737,56 @@
 		    /// \c Value type of the map.
 		    ///
 		    /// \pre \ref run() must be called before using this function.
 		    template <typename PotentialMap>
 		    void potentialMap(PotentialMap &map) const {
 		      for (NodeIt n(_graph); n != INVALID; ++n) {
 		        map.set(n, static_cast<Cost>(_pi[_node_id[n]]));
+		      }
+		    }
 		    /// @}
 		  private:
 		    // Initialize the algorithm
 		    ProblemType init() {
 		      if (_res_node_num <= 1) return INFEASIBLE;
 		      // Check the sum of supply values
 		      _sum_supply = 0;
 		      for (int i = 0; i != _root; ++i) {
 		        _sum_supply += _supply[i];
+		      }
 		      if (_sum_supply > 0) return INFEASIBLE;
 		      // Initialize vectors
 		      for (int i = 0; i != _res_node_num; ++i) {
 		        _pi[i] = 0;
 		        _excess[i] = _supply[i];
+		      }
 		      // Remove infinite upper bounds and check negative arcs
 		      const Value MAX = std::numeric_limits<Value>::max();
 		      int last_out;
 		      if (_have_lower) {
 		        for (int i = 0; i != _root; ++i) {
 		          last_out = _first_out[i+1];
 		          for (int j = _first_out[i]; j != last_out; ++j) {
 		            if (_forward[j]) {
 		              Value c = _scost[j] < 0 ? _upper[j] : _lower[j];
 		              if (c >= MAX) return UNBOUNDED;
 		              _excess[i] -= c;
 		              _excess[_target[j]] += c;
+		            }
+		          }
+		        }
 		      } else {
 		        for (int i = 0; i != _root; ++i) {
 		          last_out = _first_out[i+1];
 		          for (int j = _first_out[i]; j != last_out; ++j) {
 		            if (_forward[j] && _scost[j] < 0) {
 		              Value c = _upper[j];
 		              if (c >= MAX) return UNBOUNDED;
 		              _excess[i] -= c;
 		              _excess[_target[j]] += c;
@@ -864,271 +864,271 @@
+		        }
 		        for (int a = _first_out[_root]; a != _res_arc_num; ++a) {
 		          int u = _target[a];
 		          int ra = _reverse[a];
 		          _res_cap[a] = -_sum_supply + 1;
 		          _res_cap[ra] = -_excess[u];
 		          _cost[a] = 0;
 		          _cost[ra] = 0;
 		          _excess[u] = 0;
+		        }
 		      } else {
 		        for (ArcIt a(_graph); a != INVALID; ++a) {
 		          Value fa = flow[a];
 		          _res_cap[_arc_idf[a]] = cap[a] - fa;
 		          _res_cap[_arc_idb[a]] = fa;
+		        }
 		        for (int a = _first_out[_root]; a != _res_arc_num; ++a) {
 		          int ra = _reverse[a];
 		          _res_cap[a] = 0;
 		          _res_cap[ra] = 0;
 		          _cost[a] = 0;
 		          _cost[ra] = 0;
+		        }
+		      }
 		      return OPTIMAL;
+		    }
 		    // Execute the algorithm and transform the results
 		    void start(Method method) {
 		      // Maximum path length for partial augment
 		      const int MAX_PATH_LENGTH = 4;
-		      // Initialize data structures for buckets
 		      // Initialize data structures for buckets
 		      _max_rank = _alpha * _res_node_num;
 		      _buckets.resize(_max_rank);
 		      _bucket_next.resize(_res_node_num + 1);
 		      _bucket_prev.resize(_res_node_num + 1);
 		      _rank.resize(_res_node_num + 1);
 		      // Execute the algorithm
 		      switch (method) {
 		        case PUSH:
 		          startPush();
 		          break;
 		        case AUGMENT:
 		          startAugment();
 		          break;
 		        case PARTIAL_AUGMENT:
 		          startAugment(MAX_PATH_LENGTH);
 		          break;
+		      }
 		      // Compute node potentials for the original costs
 		      _arc_vec.clear();
 		      _cost_vec.clear();
 		      for (int j = 0; j != _res_arc_num; ++j) {
 		        if (_res_cap[j] > 0) {
 		          _arc_vec.push_back(IntPair(_source[j], _target[j]));
 		          _cost_vec.push_back(_scost[j]);
+		        }
+		      }
 		      _sgr.build(_res_node_num, _arc_vec.begin(), _arc_vec.end());
 		      typename BellmanFord<StaticDigraph, LargeCostArcMap>
 		        ::template SetDistMap<LargeCostNodeMap>::Create bf(_sgr, _cost_map);
 		      bf.distMap(_pi_map);
 		      bf.init(0);
 		      bf.start();
 		      // Handle non-zero lower bounds
 		      if (_have_lower) {
 		        int limit = _first_out[_root];
 		        for (int j = 0; j != limit; ++j) {
 		          if (!_forward[j]) _res_cap[j] += _lower[j];
+		        }
+		      }
+		    }
 		    // Initialize a cost scaling phase
 		    void initPhase() {
 		      // Saturate arcs not satisfying the optimality condition
 		      for (int u = 0; u != _res_node_num; ++u) {
 		        int last_out = _first_out[u+1];
 		        LargeCost pi_u = _pi[u];
 		        for (int a = _first_out[u]; a != last_out; ++a) {
 		          int v = _target[a];
 		          if (_res_cap[a] > 0 && _cost[a] + pi_u - _pi[v] < 0) {
 		            Value delta = _res_cap[a];
 		            _excess[u] -= delta;
 		            _excess[v] += delta;
 		            _res_cap[a] = 0;
 		            _res_cap[_reverse[a]] += delta;
+		          }
+		        }
+		      }
 		      // Find active nodes (i.e. nodes with positive excess)
 		      for (int u = 0; u != _res_node_num; ++u) {
 		        if (_excess[u] > 0) _active_nodes.push_back(u);
+		      }
 		      // Initialize the next arcs
 		      for (int u = 0; u != _res_node_num; ++u) {
 		        _next_out[u] = _first_out[u];
+		      }
+		    }
 		    // Early termination heuristic
 		    bool earlyTermination() {
 		      const double EARLY_TERM_FACTOR = 3.0;
 		      // Build a static residual graph
 		      _arc_vec.clear();
 		      _cost_vec.clear();
 		      for (int j = 0; j != _res_arc_num; ++j) {
 		        if (_res_cap[j] > 0) {
 		          _arc_vec.push_back(IntPair(_source[j], _target[j]));
 		          _cost_vec.push_back(_cost[j] + 1);
+		        }
+		      }
 		      _sgr.build(_res_node_num, _arc_vec.begin(), _arc_vec.end());
 		      // Run Bellman-Ford algorithm to check if the current flow is optimal
 		      BellmanFord<StaticDigraph, LargeCostArcMap> bf(_sgr, _cost_map);
 		      bf.init(0);
 		      bool done = false;
 		      int K = int(EARLY_TERM_FACTOR * std::sqrt(double(_res_node_num)));
 		      for (int i = 0; i < K && !done; ++i) {
 		        done = bf.processNextWeakRound();
+		      }
 		      return done;
+		    }
 		    // Global potential update heuristic
 		    void globalUpdate() {
 		      int bucket_end = _root + 1;
 		      // Initialize buckets
 		      for (int r = 0; r != _max_rank; ++r) {
 		        _buckets[r] = bucket_end;
+		      }
 		      Value total_excess = 0;
 		      for (int i = 0; i != _res_node_num; ++i) {
 		        if (_excess[i] < 0) {
 		          _rank[i] = 0;
 		          _bucket_next[i] = _buckets[0];
 		          _bucket_prev[_buckets[0]] = i;
 		          _buckets[0] = i;
 		        } else {
 		          total_excess += _excess[i];
 		          _rank[i] = _max_rank;
+		        }
+		      }
 		      if (total_excess == 0) return;
 		      // Search the buckets
 		      int r = 0;
 		      for ( ; r != _max_rank; ++r) {
 		        while (_buckets[r] != bucket_end) {
 		          // Remove the first node from the current bucket
 		          int u = _buckets[r];
 		          _buckets[r] = _bucket_next[u];
 		          // Search the incomming arcs of u
 		          LargeCost pi_u = _pi[u];
 		          int last_out = _first_out[u+1];
 		          for (int a = _first_out[u]; a != last_out; ++a) {
 		            int ra = _reverse[a];
 		            if (_res_cap[ra] > 0) {
 		              int v = _source[ra];
 		              int old_rank_v = _rank[v];
 		              if (r < old_rank_v) {
 		                // Compute the new rank of v
 		                LargeCost nrc = (_cost[ra] + _pi[v] - pi_u) / _epsilon;
 		                int new_rank_v = old_rank_v;
 		                if (nrc < LargeCost(_max_rank))
 		                  new_rank_v = r + 1 + int(nrc);
 		                // Change the rank of v
 		                if (new_rank_v < old_rank_v) {
 		                  _rank[v] = new_rank_v;
 		                  _next_out[v] = _first_out[v];
 		                  // Remove v from its old bucket
 		                  if (old_rank_v < _max_rank) {
 		                    if (_buckets[old_rank_v] == v) {
 		                      _buckets[old_rank_v] = _bucket_next[v];
 		                    } else {
 		                      _bucket_next[_bucket_prev[v]] = _bucket_next[v];
 		                      _bucket_prev[_bucket_next[v]] = _bucket_prev[v];
+		                    }
+		                  }
 		                  // Insert v to its new bucket
 		                  _bucket_next[v] = _buckets[new_rank_v];
 		                  _bucket_prev[_buckets[new_rank_v]] = v;
 		                  _buckets[new_rank_v] = v;
+		                }
+		              }
+		            }
+		          }
 		          // Finish search if there are no more active nodes
 		          if (_excess[u] > 0) {
 		            total_excess -= _excess[u];
 		            if (total_excess <= 0) break;
+		          }
+		        }
 		        if (total_excess <= 0) break;
+		      }
 		      // Relabel nodes
 		      for (int u = 0; u != _res_node_num; ++u) {
 		        int k = std::min(_rank[u], r);
 		        if (k > 0) {
 		          _pi[u] -= _epsilon * k;
 		          _next_out[u] = _first_out[u];
+		        }
+		      }
+		    }
 		    /// Execute the algorithm performing augment and relabel operations
 		    void startAugment(int max_length = std::numeric_limits<int>::max()) {
 		      // Paramters for heuristics
 		      const int EARLY_TERM_EPSILON_LIMIT = 1000;
 		      const double GLOBAL_UPDATE_FACTOR = 3.0;
 		      const int global_update_freq = int(GLOBAL_UPDATE_FACTOR *
 		        (_res_node_num + _sup_node_num * _sup_node_num));
 		      int next_update_limit = global_update_freq;
 		      int relabel_cnt = 0;
 		      // Perform cost scaling phases
 		      std::vector<int> path;
 		      for ( ; _epsilon >= 1; _epsilon = _epsilon < _alpha && _epsilon > 1 ?
 : _epsilon / _alpha )
+		      {
 		        // Early termination heuristic
 		        if (_epsilon <= EARLY_TERM_EPSILON_LIMIT) {
 		          if (earlyTermination()) break;
+		        }
 		        // Initialize current phase
 		        initPhase();
 		        // Perform partial augment and relabel operations
 		        while (true) {
 		          // Select an active node (FIFO selection)
 		          while (_active_nodes.size() > 0 &&
 		                 _excess[_active_nodes.front()] <= 0) {
 		            _active_nodes.pop_front();
+		          }
 		          if (_active_nodes.size() == 0) break;
 		          int start = _active_nodes.front();
 		          // Find an augmenting path from the start node
 		          path.clear();
 		          int tip = start;
 		          while (_excess[tip] >= 0 && int(path.size()) < max_length) {
 		            int u;
 		            LargeCost min_red_cost, rc, pi_tip = _pi[tip];
 		            int last_out = _first_out[tip+1];
 		            for (int a = _next_out[tip]; a != last_out; ++a) {
 		              u = _target[a];
 		              if (_res_cap[a] > 0 && _cost[a] + pi_tip - _pi[u] < 0) {
 		                path.push_back(a);
 		                _next_out[tip] = a;
 		                tip = u;
 		                goto next_step;
@@ -1175,89 +1175,89 @@
 		            if (_excess[v] > 0 && _excess[v] <= delta)
 		              _active_nodes.push_back(v);
+		          }
 		          // Global update heuristic
 		          if (relabel_cnt >= next_update_limit) {
 		            globalUpdate();
 		            next_update_limit += global_update_freq;
+		          }
+		        }
+		      }
+		    }
 		    /// Execute the algorithm performing push and relabel operations
 		    void startPush() {
 		      // Paramters for heuristics
 		      const int EARLY_TERM_EPSILON_LIMIT = 1000;
 		      const double GLOBAL_UPDATE_FACTOR = 2.0;
 		      const int global_update_freq = int(GLOBAL_UPDATE_FACTOR *
 		        (_res_node_num + _sup_node_num * _sup_node_num));
 		      int next_update_limit = global_update_freq;
 		      int relabel_cnt = 0;
 		      // Perform cost scaling phases
 		      BoolVector hyper(_res_node_num, false);
 		      LargeCostVector hyper_cost(_res_node_num);
 		      for ( ; _epsilon >= 1; _epsilon = _epsilon < _alpha && _epsilon > 1 ?
 : _epsilon / _alpha )
+		      {
 		        // Early termination heuristic
 		        if (_epsilon <= EARLY_TERM_EPSILON_LIMIT) {
 		          if (earlyTermination()) break;
+		        }
 		        // Initialize current phase
 		        initPhase();
 		        // Perform push and relabel operations
 		        while (_active_nodes.size() > 0) {
 		          LargeCost min_red_cost, rc, pi_n;
 		          Value delta;
 		          int n, t, a, last_out = _res_arc_num;
 		        next_node:
 		          // Select an active node (FIFO selection)
 		          n = _active_nodes.front();
 		          last_out = _first_out[n+1];
 		          pi_n = _pi[n];
 		          // Perform push operations if there are admissible arcs
 		          if (_excess[n] > 0) {
 		            for (a = _next_out[n]; a != last_out; ++a) {
 		              if (_res_cap[a] > 0 &&
 		                  _cost[a] + pi_n - _pi[_target[a]] < 0) {
 		                delta = std::min(_res_cap[a], _excess[n]);
 		                t = _target[a];
 		                // Push-look-ahead heuristic
 		                Value ahead = -_excess[t];
 		                int last_out_t = _first_out[t+1];
 		                LargeCost pi_t = _pi[t];
 		                for (int ta = _next_out[t]; ta != last_out_t; ++ta) {
-		                  if (_res_cap[ta] > 0 &&
 		                  if (_res_cap[ta] > 0 &&
 		                      _cost[ta] + pi_t - _pi[_target[ta]] < 0)
 		                    ahead += _res_cap[ta];
 		                  if (ahead >= delta) break;
+		                }
 		                if (ahead < 0) ahead = 0;
 		                // Push flow along the arc
 		                if (ahead < delta && !hyper[t]) {
 		                  _res_cap[a] -= ahead;
 		                  _res_cap[_reverse[a]] += ahead;
 		                  _excess[n] -= ahead;
 		                  _excess[t] += ahead;
 		                  _active_nodes.push_front(t);
 		                  hyper[t] = true;
 		                  hyper_cost[t] = _cost[a] + pi_n - pi_t;
 		                  _next_out[n] = a;
 		                  goto next_node;
 		                } else {
 		                  _res_cap[a] -= delta;
 		                  _res_cap[_reverse[a]] += delta;
 		                  _excess[n] -= delta;
 		                  _excess[t] += delta;
 		                  if (_excess[t] > 0 && _excess[t] <= delta)
 		                    _active_nodes.push_back(t);
@@ -1266,51 +1266,51 @@
 		                if (_excess[n] == 0) {
 		                  _next_out[n] = a;
 		                  goto remove_nodes;
+		                }
+		              }
+		            }
 		            _next_out[n] = a;
+		          }
 		          // Relabel the node if it is still active (or hyper)
 		          if (_excess[n] > 0 || hyper[n]) {
 		             min_red_cost = hyper[n] ? -hyper_cost[n] :
 		               std::numeric_limits<LargeCost>::max();
 		            for (int a = _first_out[n]; a != last_out; ++a) {
 		              rc = _cost[a] + pi_n - _pi[_target[a]];
 		              if (_res_cap[a] > 0 && rc < min_red_cost) {
 		                min_red_cost = rc;
+		              }
+		            }
 		            _pi[n] -= min_red_cost + _epsilon;
 		            _next_out[n] = _first_out[n];
 		            hyper[n] = false;
 		            ++relabel_cnt;
+		          }
 		          // Remove nodes that are not active nor hyper
 		        remove_nodes:
 		          while ( _active_nodes.size() > 0 &&
 		                  _excess[_active_nodes.front()] <= 0 &&
 		                  !hyper[_active_nodes.front()] ) {
 		            _active_nodes.pop_front();
+		          }
 		          // Global update heuristic
 		          if (relabel_cnt >= next_update_limit) {
 		            globalUpdate();
 		            for (int u = 0; u != _res_node_num; ++u)
 		              hyper[u] = false;
 		            next_update_limit += global_update_freq;
+		          }
+		        }
+		      }
+		    }
 		  }; //class CostScaling
 		  ///@}
 		} //namespace lemon
 		#endif //LEMON_COST_SCALING_H

lemon/cplex.cc

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#include <iostream>
 		#include <vector>
 		#include <cstring>
 		#include <lemon/cplex.h>
 		extern "C" {
 		#include <ilcplex/cplex.h>
+		}
@@ -90,49 +90,49 @@
 		    cols = cplex.cols;
 		    messageLevel(MESSAGE_NOTHING);
+		  }
 		  CplexBase::~CplexBase() {
 		    CPXfreeprob(cplexEnv(),&_prob);
+		  }
 		  int CplexBase::_addCol() {
 		    int i = CPXgetnumcols(cplexEnv(), _prob);
 		    double lb = -INF, ub = INF;
 		    CPXnewcols(cplexEnv(), _prob, 1, 0, &lb, &ub, 0, 0);
 		    return i;
+		  }
 		  int CplexBase::_addRow() {
 		    int i = CPXgetnumrows(cplexEnv(), _prob);
 		    const double ub = INF;
 		    const char s = 'L';
 		    CPXnewrows(cplexEnv(), _prob, 1, &ub, &s, 0, 0);
 		    return i;
+		  }
-		  int CplexBase::_addRow(Value lb, ExprIterator b,
 		  int CplexBase::_addRow(Value lb, ExprIterator b,
 		                         ExprIterator e, Value ub) {
 		    int i = CPXgetnumrows(cplexEnv(), _prob);
 		    if (lb == -INF) {
 		      const char s = 'L';
 		      CPXnewrows(cplexEnv(), _prob, 1, &ub, &s, 0, 0);
 		    } else if (ub == INF) {
 		      const char s = 'G';
 		      CPXnewrows(cplexEnv(), _prob, 1, &lb, &s, 0, 0);
 		    } else if (lb == ub){
 		      const char s = 'E';
 		      CPXnewrows(cplexEnv(), _prob, 1, &lb, &s, 0, 0);
 		    } else {
 		      const char s = 'R';
 		      double len = ub - lb;
 		      CPXnewrows(cplexEnv(), _prob, 1, &lb, &s, &len, 0);
+		    }
 		    std::vector<int> indices;
 		    std::vector<int> rowlist;
 		    std::vector<Value> values;
 		    for(ExprIterator it=b; it!=e; ++it) {
 		      indices.push_back(it->first);
 		      values.push_back(it->second);
@@ -468,49 +468,49 @@
 		  void CplexBase::_clear() {
 		    CPXfreeprob(cplexEnv(),&_prob);
 		    int status;
 		    _prob = CPXcreateprob(cplexEnv(), &status, "Cplex problem");
 		    rows.clear();
 		    cols.clear();
+		  }
 		  void CplexBase::_messageLevel(MessageLevel level) {
 		    switch (level) {
 		    case MESSAGE_NOTHING:
 		      _message_enabled = false;
 		      break;
 		    case MESSAGE_ERROR:
 		    case MESSAGE_WARNING:
 		    case MESSAGE_NORMAL:
 		    case MESSAGE_VERBOSE:
 		      _message_enabled = true;
 		      break;
+		    }
+		  }
 		  void CplexBase::_applyMessageLevel() {
-		    CPXsetintparam(cplexEnv(), CPX_PARAM_SCRIND,
 		    CPXsetintparam(cplexEnv(), CPX_PARAM_SCRIND,
 		                   _message_enabled ? CPX_ON : CPX_OFF);
+		  }
 		  // CplexLp members
 		  CplexLp::CplexLp()
 		    : LpBase(), LpSolver(), CplexBase() {}
 		  CplexLp::CplexLp(const CplexEnv& env)
 		    : LpBase(), LpSolver(), CplexBase(env) {}
 		  CplexLp::CplexLp(const CplexLp& other)
 		    : LpBase(), LpSolver(), CplexBase(other) {}
 		  CplexLp::~CplexLp() {}
 		  CplexLp* CplexLp::newSolver() const { return new CplexLp; }
 		  CplexLp* CplexLp::cloneSolver() const {return new CplexLp(*this); }
 		  const char* CplexLp::_solverName() const { return "CplexLp"; }
 		  void CplexLp::_clear_temporals() {
 		    _col_status.clear();
 		    _row_status.clear();

lemon/cycle_canceling.h

Show inline comments

 		/* -*- C++ -*-
+		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library
+		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2008
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_CYCLE_CANCELING_H
 		#define LEMON_CYCLE_CANCELING_H
 		/// \ingroup min_cost_flow_algs
 		/// \file
 		/// \brief Cycle-canceling algorithms for finding a minimum cost flow.
 		#include <vector>
 		#include <limits>
 		#include <lemon/core.h>
@@ -121,74 +121,74 @@
 		    /// However, the other methods can be selected using the \ref run()
 		    /// function with the proper parameter.
 		    enum Method {
 		      /// A simple cycle-canceling method, which uses the
 		      /// \ref BellmanFord "Bellman-Ford" algorithm with limited iteration
 		      /// number for detecting negative cycles in the residual network.
 		      SIMPLE_CYCLE_CANCELING,
 		      /// The "Minimum Mean Cycle-Canceling" algorithm, which is a
 		      /// well-known strongly polynomial method
 		      /// \ref goldberg89cyclecanceling. It improves along a
 		      /// \ref min_mean_cycle "minimum mean cycle" in each iteration.
 		      /// Its running time complexity is O(n<sup>2</sup>m<sup>3</sup>log(n)).
 		      MINIMUM_MEAN_CYCLE_CANCELING,
 		      /// The "Cancel And Tighten" algorithm, which can be viewed as an
 		      /// improved version of the previous method
 		      /// \ref goldberg89cyclecanceling.
 		      /// It is faster both in theory and in practice, its running time
 		      /// complexity is O(n<sup>2</sup>m<sup>2</sup>log(n)).
 		      CANCEL_AND_TIGHTEN
 		    };
 		  private:
 		    TEMPLATE_DIGRAPH_TYPEDEFS(GR);
 		    typedef std::vector<int> IntVector;
 		    typedef std::vector<double> DoubleVector;
 		    typedef std::vector<Value> ValueVector;
 		    typedef std::vector<Cost> CostVector;
 		    typedef std::vector<char> BoolVector;
 		    // Note: vector<char> is used instead of vector<bool> for efficiency reasons
 		  private:
 		    template <typename KT, typename VT>
 		    class StaticVectorMap {
 		    public:
 		      typedef KT Key;
 		      typedef VT Value;
 		      StaticVectorMap(std::vector<Value>& v) : _v(v) {}
 		      const Value& operator[](const Key& key) const {
 		        return _v[StaticDigraph::id(key)];
+		      }
 		      Value& operator[](const Key& key) {
 		        return _v[StaticDigraph::id(key)];
+		      }
 		      void set(const Key& key, const Value& val) {
 		        _v[StaticDigraph::id(key)] = val;
+		      }
 		    private:
 		      std::vector<Value>& _v;
 		    };
 		    typedef StaticVectorMap<StaticDigraph::Node, Cost> CostNodeMap;
 		    typedef StaticVectorMap<StaticDigraph::Arc, Cost> CostArcMap;
 		  private:
 		    // Data related to the underlying digraph
 		    const GR &_graph;
 		    int _node_num;
 		    int _arc_num;
 		    int _res_node_num;
 		    int _res_arc_num;
 		    int _root;
 		    // Parameters of the problem
 		    bool _have_lower;
@@ -200,51 +200,51 @@
 		    IntArcMap _arc_idb;
 		    IntVector _first_out;
 		    BoolVector _forward;
 		    IntVector _source;
 		    IntVector _target;
 		    IntVector _reverse;
 		    // Node and arc data
 		    ValueVector _lower;
 		    ValueVector _upper;
 		    CostVector _cost;
 		    ValueVector _supply;
 		    ValueVector _res_cap;
 		    CostVector _pi;
 		    // Data for a StaticDigraph structure
 		    typedef std::pair<int, int> IntPair;
 		    StaticDigraph _sgr;
 		    std::vector<IntPair> _arc_vec;
 		    std::vector<Cost> _cost_vec;
 		    IntVector _id_vec;
 		    CostArcMap _cost_map;
 		    CostNodeMap _pi_map;
 		  public:
 		    /// \brief Constant for infinite upper bounds (capacities).
 		    ///
 		    /// Constant for infinite upper bounds (capacities).
 		    /// It is \c std::numeric_limits<Value>::infinity() if available,
 		    /// \c std::numeric_limits<Value>::max() otherwise.
 		    const Value INF;
 		  public:
 		    /// \brief Constructor.
 		    ///
 		    /// The constructor of the class.
 		    ///
 		    /// \param graph The digraph the algorithm runs on.
 		    CycleCanceling(const GR& graph) :
 		      _graph(graph), _node_id(graph), _arc_idf(graph), _arc_idb(graph),
 		      _cost_map(_cost_vec), _pi_map(_pi),
 		      INF(std::numeric_limits<Value>::has_infinity ?
 		          std::numeric_limits<Value>::infinity() :
 		          std::numeric_limits<Value>::max())
+		    {
 		      // Check the number types
 		      LEMON_ASSERT(std::numeric_limits<Value>::is_signed,
 		        "The flow type of CycleCanceling must be signed");
@@ -345,49 +345,49 @@
 		    ///
 		    /// This function sets a single source node and a single target node
 		    /// and the required flow value.
 		    /// If neither this function nor \ref supplyMap() is used before
 		    /// calling \ref run(), the supply of each node will be set to zero.
 		    ///
 		    /// Using this function has the same effect as using \ref supplyMap()
 		    /// with such a map in which \c k is assigned to \c s, \c -k is
 		    /// assigned to \c t and all other nodes have zero supply value.
 		    ///
 		    /// \param s The source node.
 		    /// \param t The target node.
 		    /// \param k The required amount of flow from node \c s to node \c t
 		    /// (i.e. the supply of \c s and the demand of \c t).
 		    ///
 		    /// \return <tt>(*this)</tt>
 		    CycleCanceling& stSupply(const Node& s, const Node& t, Value k) {
 		      for (int i = 0; i != _res_node_num; ++i) {
 		        _supply[i] = 0;
+		      }
 		      _supply[_node_id[s]] =  k;
 		      _supply[_node_id[t]] = -k;
 		      return *this;
+		    }
 		    /// @}
 		    /// \name Execution control
 		    /// The algorithm can be executed using \ref run().
 		    /// @{
 		    /// \brief Run the algorithm.
 		    ///
 		    /// This function runs the algorithm.
 		    /// The paramters can be specified using functions \ref lowerMap(),
 		    /// \ref upperMap(), \ref costMap(), \ref supplyMap(), \ref stSupply().
 		    /// For example,
 		    /// \code
 		    ///   CycleCanceling<ListDigraph> cc(graph);
 		    ///   cc.lowerMap(lower).upperMap(upper).costMap(cost)
 		    ///     .supplyMap(sup).run();
 		    /// \endcode
 		    ///
 		    /// This function can be called more than once. All the given parameters
 		    /// are kept for the next call, unless \ref resetParams() or \ref reset()
 		    /// is used, thus only the modified parameters have to be set again.
 		    /// If the underlying digraph was also modified after the construction
 		    /// of the class (or the last \ref reset() call), then the \ref reset()
@@ -445,137 +445,137 @@
 		    ///   // (the lower bounds will be set to zero on all arcs)
 		    ///   cc.resetParams();
 		    ///   cc.upperMap(capacity).costMap(cost)
 		    ///     .supplyMap(sup).run();
 		    /// \endcode
 		    ///
 		    /// \return <tt>(*this)</tt>
 		    ///
 		    /// \see reset(), run()
 		    CycleCanceling& resetParams() {
 		      for (int i = 0; i != _res_node_num; ++i) {
 		        _supply[i] = 0;
+		      }
 		      int limit = _first_out[_root];
 		      for (int j = 0; j != limit; ++j) {
 		        _lower[j] = 0;
 		        _upper[j] = INF;
 		        _cost[j] = _forward[j] ? 1 : -1;
+		      }
 		      for (int j = limit; j != _res_arc_num; ++j) {
 		        _lower[j] = 0;
 		        _upper[j] = INF;
 		        _cost[j] = 0;
 		        _cost[_reverse[j]] = 0;
+		      }
+		      }
 		      _have_lower = false;
 		      return *this;
+		    }
 		    /// \brief Reset the internal data structures and all the parameters
 		    /// that have been given before.
 		    ///
 		    /// This function resets the internal data structures and all the
 		    /// paramaters that have been given before using functions \ref lowerMap(),
 		    /// \ref upperMap(), \ref costMap(), \ref supplyMap(), \ref stSupply().
 		    ///
 		    /// It is useful for multiple \ref run() calls. Basically, all the given
 		    /// parameters are kept for the next \ref run() call, unless
 		    /// \ref resetParams() or \ref reset() is used.
 		    /// If the underlying digraph was also modified after the construction
 		    /// of the class or the last \ref reset() call, then the \ref reset()
 		    /// function must be used, otherwise \ref resetParams() is sufficient.
 		    ///
 		    /// See \ref resetParams() for examples.
 		    ///
 		    /// \return <tt>(*this)</tt>
 		    ///
 		    /// \see resetParams(), run()
 		    CycleCanceling& reset() {
 		      // Resize vectors
 		      _node_num = countNodes(_graph);
 		      _arc_num = countArcs(_graph);
 		      _res_node_num = _node_num + 1;
 		      _res_arc_num = 2 * (_arc_num + _node_num);
 		      _root = _node_num;
 		      _first_out.resize(_res_node_num + 1);
 		      _forward.resize(_res_arc_num);
 		      _source.resize(_res_arc_num);
 		      _target.resize(_res_arc_num);
 		      _reverse.resize(_res_arc_num);
 		      _lower.resize(_res_arc_num);
 		      _upper.resize(_res_arc_num);
 		      _cost.resize(_res_arc_num);
 		      _supply.resize(_res_node_num);
 		      _res_cap.resize(_res_arc_num);
 		      _pi.resize(_res_node_num);
 		      _arc_vec.reserve(_res_arc_num);
 		      _cost_vec.reserve(_res_arc_num);
 		      _id_vec.reserve(_res_arc_num);
 		      // Copy the graph
 		      int i = 0, j = 0, k = 2 * _arc_num + _node_num;
 		      for (NodeIt n(_graph); n != INVALID; ++n, ++i) {
 		        _node_id[n] = i;
+		      }
 		      i = 0;
 		      for (NodeIt n(_graph); n != INVALID; ++n, ++i) {
 		        _first_out[i] = j;
 		        for (OutArcIt a(_graph, n); a != INVALID; ++a, ++j) {
 		          _arc_idf[a] = j;
 		          _forward[j] = true;
 		          _source[j] = i;
 		          _target[j] = _node_id[_graph.runningNode(a)];
+		        }
 		        for (InArcIt a(_graph, n); a != INVALID; ++a, ++j) {
 		          _arc_idb[a] = j;
 		          _forward[j] = false;
 		          _source[j] = i;
 		          _target[j] = _node_id[_graph.runningNode(a)];
+		        }
 		        _forward[j] = false;
 		        _source[j] = i;
 		        _target[j] = _root;
 		        _reverse[j] = k;
 		        _forward[k] = true;
 		        _source[k] = _root;
 		        _target[k] = i;
 		        _reverse[k] = j;
 		        ++j; ++k;
+		      }
 		      _first_out[i] = j;
 		      _first_out[_res_node_num] = k;
 		      for (ArcIt a(_graph); a != INVALID; ++a) {
 		        int fi = _arc_idf[a];
 		        int bi = _arc_idb[a];
 		        _reverse[fi] = bi;
 		        _reverse[bi] = fi;
+		      }
 		      // Reset parameters
 		      resetParams();
 		      return *this;
+		    }
 		    /// @}
 		    /// \name Query Functions
 		    /// The results of the algorithm can be obtained using these
 		    /// functions.\n
 		    /// The \ref run() function must be called before using them.
 		    /// @{
 		    /// \brief Return the total cost of the found flow.
 		    ///
 		    /// This function returns the total cost of the found flow.
 		    /// Its complexity is O(e).
 		    ///
 		    /// \note The return type of the function can be specified as a
 		    /// template parameter. For example,
 		    /// \code
 		    ///   cc.totalCost<double>();
 		    /// \endcode
@@ -642,56 +642,56 @@
 		    /// \c Value type of the map.
 		    ///
 		    /// \pre \ref run() must be called before using this function.
 		    template <typename PotentialMap>
 		    void potentialMap(PotentialMap &map) const {
 		      for (NodeIt n(_graph); n != INVALID; ++n) {
 		        map.set(n, static_cast<Cost>(_pi[_node_id[n]]));
+		      }
+		    }
 		    /// @}
 		  private:
 		    // Initialize the algorithm
 		    ProblemType init() {
 		      if (_res_node_num <= 1) return INFEASIBLE;
 		      // Check the sum of supply values
 		      _sum_supply = 0;
 		      for (int i = 0; i != _root; ++i) {
 		        _sum_supply += _supply[i];
+		      }
 		      if (_sum_supply > 0) return INFEASIBLE;
 		      // Initialize vectors
 		      for (int i = 0; i != _res_node_num; ++i) {
 		        _pi[i] = 0;
+		      }
 		      ValueVector excess(_supply);
 		      // Remove infinite upper bounds and check negative arcs
 		      const Value MAX = std::numeric_limits<Value>::max();
 		      int last_out;
 		      if (_have_lower) {
 		        for (int i = 0; i != _root; ++i) {
 		          last_out = _first_out[i+1];
 		          for (int j = _first_out[i]; j != last_out; ++j) {
 		            if (_forward[j]) {
 		              Value c = _cost[j] < 0 ? _upper[j] : _lower[j];
 		              if (c >= MAX) return UNBOUNDED;
 		              excess[i] -= c;
 		              excess[_target[j]] += c;
+		            }
+		          }
+		        }
 		      } else {
 		        for (int i = 0; i != _root; ++i) {
 		          last_out = _first_out[i+1];
 		          for (int j = _first_out[i]; j != last_out; ++j) {
 		            if (_forward[j] && _cost[j] < 0) {
 		              Value c = _upper[j];
 		              if (c >= MAX) return UNBOUNDED;
 		              excess[i] -= c;
 		              excess[_target[j]] += c;
@@ -749,52 +749,52 @@
 		          excess[_node_id[n]] = sup[n];
+		        }
 		        for (int a = _first_out[_root]; a != _res_arc_num; ++a) {
 		          int u = _target[a];
 		          int ra = _reverse[a];
 		          _res_cap[a] = -_sum_supply + 1;
 		          _res_cap[ra] = -excess[u];
 		          _cost[a] = 0;
 		          _cost[ra] = 0;
+		        }
 		      } else {
 		        for (ArcIt a(_graph); a != INVALID; ++a) {
 		          Value fa = flow[a];
 		          _res_cap[_arc_idf[a]] = cap[a] - fa;
 		          _res_cap[_arc_idb[a]] = fa;
+		        }
 		        for (int a = _first_out[_root]; a != _res_arc_num; ++a) {
 		          int ra = _reverse[a];
 		          _res_cap[a] = 1;
 		          _res_cap[ra] = 0;
 		          _cost[a] = 0;
 		          _cost[ra] = 0;
+		        }
+		      }
 		      return OPTIMAL;
+		    }
 		    // Build a StaticDigraph structure containing the current
 		    // residual network
 		    void buildResidualNetwork() {
 		      _arc_vec.clear();
 		      _cost_vec.clear();
 		      _id_vec.clear();
 		      for (int j = 0; j != _res_arc_num; ++j) {
 		        if (_res_cap[j] > 0) {
 		          _arc_vec.push_back(IntPair(_source[j], _target[j]));
 		          _cost_vec.push_back(_cost[j]);
 		          _id_vec.push_back(j);
+		        }
+		      }
 		      _sgr.build(_res_node_num, _arc_vec.begin(), _arc_vec.end());
+		    }
 		    // Execute the algorithm and transform the results
 		    void start(Method method) {
 		      // Execute the algorithm
 		      switch (method) {
 		        case SIMPLE_CYCLE_CANCELING:
 		          startSimpleCycleCanceling();
 		          break;
 		        case MINIMUM_MEAN_CYCLE_CANCELING:
@@ -808,56 +808,56 @@
 		      // Compute node potentials
 		      if (method != SIMPLE_CYCLE_CANCELING) {
 		        buildResidualNetwork();
 		        typename BellmanFord<StaticDigraph, CostArcMap>
 		          ::template SetDistMap<CostNodeMap>::Create bf(_sgr, _cost_map);
 		        bf.distMap(_pi_map);
 		        bf.init(0);
 		        bf.start();
+		      }
 		      // Handle non-zero lower bounds
 		      if (_have_lower) {
 		        int limit = _first_out[_root];
 		        for (int j = 0; j != limit; ++j) {
 		          if (!_forward[j]) _res_cap[j] += _lower[j];
+		        }
+		      }
+		    }
 		    // Execute the "Simple Cycle Canceling" method
 		    void startSimpleCycleCanceling() {
 		      // Constants for computing the iteration limits
 		      const int BF_FIRST_LIMIT  = 2;
 		      const double BF_LIMIT_FACTOR = 1.5;
 		      typedef StaticVectorMap<StaticDigraph::Arc, Value> FilterMap;
 		      typedef FilterArcs<StaticDigraph, FilterMap> ResDigraph;
 		      typedef StaticVectorMap<StaticDigraph::Node, StaticDigraph::Arc> PredMap;
 		      typedef typename BellmanFord<ResDigraph, CostArcMap>
 		        ::template SetDistMap<CostNodeMap>
 		        ::template SetPredMap<PredMap>::Create BF;
 		      // Build the residual network
 		      _arc_vec.clear();
 		      _cost_vec.clear();
 		      for (int j = 0; j != _res_arc_num; ++j) {
 		        _arc_vec.push_back(IntPair(_source[j], _target[j]));
 		        _cost_vec.push_back(_cost[j]);
+		      }
 		      _sgr.build(_res_node_num, _arc_vec.begin(), _arc_vec.end());
 		      FilterMap filter_map(_res_cap);
 		      ResDigraph rgr(_sgr, filter_map);
 		      std::vector<int> cycle;
 		      std::vector<StaticDigraph::Arc> pred(_res_arc_num);
 		      PredMap pred_map(pred);
 		      BF bf(rgr, _cost_map);
 		      bf.distMap(_pi_map).predMap(pred_map);
 		      int length_bound = BF_FIRST_LIMIT;
 		      bool optimal = false;
 		      while (!optimal) {
 		        bf.init(0);
 		        int iter_num = 0;
 		        bool cycle_found = false;
 		        while (!cycle_found) {
@@ -905,72 +905,72 @@
 		                // Augment along the cycle
 		                for (int i = 0; i < int(cycle.size()); ++i) {
 		                  int j = cycle[i];
 		                  _res_cap[j] -= delta;
 		                  _res_cap[_reverse[j]] += delta;
+		                }
+		              }
+		            }
+		          }
 		          // Increase iteration limit if no cycle is found
 		          if (!cycle_found) {
 		            length_bound = static_cast<int>(length_bound * BF_LIMIT_FACTOR);
+		          }
+		        }
+		      }
+		    }
 		    // Execute the "Minimum Mean Cycle Canceling" method
 		    void startMinMeanCycleCanceling() {
 		      typedef SimplePath<StaticDigraph> SPath;
 		      typedef typename SPath::ArcIt SPathArcIt;
 		      typedef typename HowardMmc<StaticDigraph, CostArcMap>
 		        ::template SetPath<SPath>::Create MMC;
 		      SPath cycle;
 		      MMC mmc(_sgr, _cost_map);
 		      mmc.cycle(cycle);
 		      buildResidualNetwork();
 		      while (mmc.findCycleMean() && mmc.cycleCost() < 0) {
 		        // Find the cycle
 		        mmc.findCycle();
 		        // Compute delta value
 		        Value delta = INF;
 		        for (SPathArcIt a(cycle); a != INVALID; ++a) {
 		          Value d = _res_cap[_id_vec[_sgr.id(a)]];
 		          if (d < delta) delta = d;
+		        }
 		        // Augment along the cycle
 		        for (SPathArcIt a(cycle); a != INVALID; ++a) {
 		          int j = _id_vec[_sgr.id(a)];
 		          _res_cap[j] -= delta;
 		          _res_cap[_reverse[j]] += delta;
+		        }
-		        // Rebuild the residual network
 		        // Rebuild the residual network
 		        buildResidualNetwork();
+		      }
+		    }
 		    // Execute the "Cancel And Tighten" method
 		    void startCancelAndTighten() {
 		      // Constants for the min mean cycle computations
 		      const double LIMIT_FACTOR = 1.0;
 		      const int MIN_LIMIT = 5;
 		      // Contruct auxiliary data vectors
 		      DoubleVector pi(_res_node_num, 0.0);
 		      IntVector level(_res_node_num);
 		      BoolVector reached(_res_node_num);
 		      BoolVector processed(_res_node_num);
 		      IntVector pred_node(_res_node_num);
 		      IntVector pred_arc(_res_node_num);
 		      std::vector<int> stack(_res_node_num);
 		      std::vector<int> proc_vector(_res_node_num);
 		      // Initialize epsilon
 		      double epsilon = 0;
 		      for (int a = 0; a != _res_arc_num; ++a) {
 		        if (_res_cap[a] > 0 && -_cost[a] > epsilon)
@@ -1122,49 +1122,49 @@
 		          // Modify epsilon
 		          epsilon = 0;
 		          for (int u = 0; u != _res_node_num; ++u) {
 		            double curr, pu = pi[u];
 		            int last_out = _first_out[u+1];
 		            for (int a = _first_out[u]; a != last_out; ++a) {
 		              if (_res_cap[a] == 0) continue;
 		              curr = _cost[a] + pu - pi[_target[a]];
 		              if (-curr > epsilon) epsilon = -curr;
+		            }
+		          }
 		        } else {
 		          typedef HowardMmc<StaticDigraph, CostArcMap> MMC;
 		          typedef typename BellmanFord<StaticDigraph, CostArcMap>
 		            ::template SetDistMap<CostNodeMap>::Create BF;
 		          // Set epsilon to the minimum cycle mean
 		          buildResidualNetwork();
 		          MMC mmc(_sgr, _cost_map);
 		          mmc.findCycleMean();
 		          epsilon = -mmc.cycleMean();
 		          Cost cycle_cost = mmc.cycleCost();
 		          int cycle_size = mmc.cycleSize();
 		          // Compute feasible potentials for the current epsilon
 		          for (int i = 0; i != int(_cost_vec.size()); ++i) {
 		            _cost_vec[i] = cycle_size * _cost_vec[i] - cycle_cost;
+		          }
 		          BF bf(_sgr, _cost_map);
 		          bf.distMap(_pi_map);
 		          bf.init(0);
 		          bf.start();
 		          for (int u = 0; u != _res_node_num; ++u) {
 		            pi[u] = static_cast<double>(_pi[u]) / cycle_size;
+		          }
 		          iter = limit;
+		        }
+		      }
+		    }
 		  }; //class CycleCanceling
 		  ///@}
 		} //namespace lemon
 		#endif //LEMON_CYCLE_CANCELING_H

lemon/dfs.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_DFS_H
 		#define LEMON_DFS_H
 		///\ingroup search
 		///\file
 		///\brief DFS algorithm.
 		#include <lemon/list_graph.h>
 		#include <lemon/bits/path_dump.h>
 		#include <lemon/core.h>
 		#include <lemon/error.h>
@@ -61,49 +61,50 @@
 		    ///The type of the map that indicates which nodes are processed.
 		    ///The type of the map that indicates which nodes are processed.
 		    ///It must conform to the \ref concepts::WriteMap "WriteMap" concept.
 		    ///By default, it is a NullMap.
 		    typedef NullMap<typename Digraph::Node,bool> ProcessedMap;
 		    ///Instantiates a \c ProcessedMap.
 		    ///This function instantiates a \ref ProcessedMap.
 		    ///\param g is the digraph, to which
 		    ///we would like to define the \ref ProcessedMap.
 		#ifdef DOXYGEN
 		    static ProcessedMap *createProcessedMap(const Digraph &g)
 		#else
 		    static ProcessedMap *createProcessedMap(const Digraph &)
 		#endif
+		    {
 		      return new ProcessedMap();
+		    }
 		    ///The type of the map that indicates which nodes are reached.
 		    ///The type of the map that indicates which nodes are reached.
-		    ///It must conform to the \ref concepts::ReadWriteMap "ReadWriteMap" concept.
 		    ///It must conform to
 		    ///the \ref concepts::ReadWriteMap "ReadWriteMap" concept.
 		    typedef typename Digraph::template NodeMap<bool> ReachedMap;
 		    ///Instantiates a \c ReachedMap.
 		    ///This function instantiates a \ref ReachedMap.
 		    ///\param g is the digraph, to which
 		    ///we would like to define the \ref ReachedMap.
 		    static ReachedMap *createReachedMap(const Digraph &g)
+		    {
 		      return new ReachedMap(g);
+		    }
 		    ///The type of the map that stores the distances of the nodes.
 		    ///The type of the map that stores the distances of the nodes.
 		    ///It must conform to the \ref concepts::WriteMap "WriteMap" concept.
 		    typedef typename Digraph::template NodeMap<int> DistMap;
 		    ///Instantiates a \c DistMap.
 		    ///This function instantiates a \ref DistMap.
 		    ///\param g is the digraph, to which we would like to define the
 		    ///\ref DistMap.
 		    static DistMap *createDistMap(const Digraph &g)
+		    {
 		      return new DistMap(g);
@@ -249,49 +250,50 @@
 		    ///\c DistMap type.
 		    ///
 		    ///\ref named-templ-param "Named parameter" for setting
 		    ///\c DistMap type.
 		    ///It must conform to the \ref concepts::WriteMap "WriteMap" concept.
 		    template <class T>
 		    struct SetDistMap : public Dfs< Digraph, SetDistMapTraits<T> > {
 		      typedef Dfs<Digraph, SetDistMapTraits<T> > Create;
 		    };
 		    template <class T>
 		    struct SetReachedMapTraits : public Traits {
 		      typedef T ReachedMap;
 		      static ReachedMap *createReachedMap(const Digraph &)
+		      {
 		        LEMON_ASSERT(false, "ReachedMap is not initialized");
 		        return 0; // ignore warnings
+		      }
 		    };
 		    ///\brief \ref named-templ-param "Named parameter" for setting
 		    ///\c ReachedMap type.
 		    ///
 		    ///\ref named-templ-param "Named parameter" for setting
 		    ///\c ReachedMap type.
-		    ///It must conform to the \ref concepts::ReadWriteMap "ReadWriteMap" concept.
 		    ///It must conform to
 		    ///the \ref concepts::ReadWriteMap "ReadWriteMap" concept.
 		    template <class T>
 		    struct SetReachedMap : public Dfs< Digraph, SetReachedMapTraits<T> > {
 		      typedef Dfs< Digraph, SetReachedMapTraits<T> > Create;
 		    };
 		    template <class T>
 		    struct SetProcessedMapTraits : public Traits {
 		      typedef T ProcessedMap;
 		      static ProcessedMap *createProcessedMap(const Digraph &)
+		      {
 		        LEMON_ASSERT(false, "ProcessedMap is not initialized");
 		        return 0; // ignore warnings
+		      }
 		    };
 		    ///\brief \ref named-templ-param "Named parameter" for setting
 		    ///\c ProcessedMap type.
 		    ///
 		    ///\ref named-templ-param "Named parameter" for setting
 		    ///\c ProcessedMap type.
 		    ///It must conform to the \ref concepts::WriteMap "WriteMap" concept.
 		    template <class T>
 		    struct SetProcessedMap : public Dfs< Digraph, SetProcessedMapTraits<T> > {
 		      typedef Dfs< Digraph, SetProcessedMapTraits<T> > Create;
 		    };
@@ -781,49 +783,50 @@
 		    ///The type of the map that indicates which nodes are processed.
 		    ///The type of the map that indicates which nodes are processed.
 		    ///It must conform to the \ref concepts::WriteMap "WriteMap" concept.
 		    ///By default, it is a NullMap.
 		    typedef NullMap<typename Digraph::Node,bool> ProcessedMap;
 		    ///Instantiates a ProcessedMap.
 		    ///This function instantiates a ProcessedMap.
 		    ///\param g is the digraph, to which
 		    ///we would like to define the ProcessedMap.
 		#ifdef DOXYGEN
 		    static ProcessedMap *createProcessedMap(const Digraph &g)
 		#else
 		    static ProcessedMap *createProcessedMap(const Digraph &)
 		#endif
+		    {
 		      return new ProcessedMap();
+		    }
 		    ///The type of the map that indicates which nodes are reached.
 		    ///The type of the map that indicates which nodes are reached.
-		    ///It must conform to the \ref concepts::ReadWriteMap "ReadWriteMap" concept.
 		    ///It must conform to
 		    ///the \ref concepts::ReadWriteMap "ReadWriteMap" concept.
 		    typedef typename Digraph::template NodeMap<bool> ReachedMap;
 		    ///Instantiates a ReachedMap.
 		    ///This function instantiates a ReachedMap.
 		    ///\param g is the digraph, to which
 		    ///we would like to define the ReachedMap.
 		    static ReachedMap *createReachedMap(const Digraph &g)
+		    {
 		      return new ReachedMap(g);
+		    }
 		    ///The type of the map that stores the distances of the nodes.
 		    ///The type of the map that stores the distances of the nodes.
 		    ///It must conform to the \ref concepts::WriteMap "WriteMap" concept.
 		    typedef typename Digraph::template NodeMap<int> DistMap;
 		    ///Instantiates a DistMap.
 		    ///This function instantiates a DistMap.
 		    ///\param g is the digraph, to which we would like to define
 		    ///the DistMap
 		    static DistMap *createDistMap(const Digraph &g)
+		    {
 		      return new DistMap(g);
@@ -1186,49 +1189,50 @@
 		        visitor.reach(node);
 		        visitor.discover(arc);
 		        visitor.examine(arc);
 		        visitor.leave(node);
 		        visitor.backtrack(arc);
+		      }
 		      _Visitor& visitor;
 		    };
 		  };
 		#endif
 		  /// \brief Default traits class of DfsVisit class.
 		  ///
 		  /// Default traits class of DfsVisit class.
 		  /// \tparam _Digraph The type of the digraph the algorithm runs on.
 		  template<class GR>
 		  struct DfsVisitDefaultTraits {
 		    /// \brief The type of the digraph the algorithm runs on.
 		    typedef GR Digraph;
 		    /// \brief The type of the map that indicates which nodes are reached.
 		    ///
 		    /// The type of the map that indicates which nodes are reached.
-		    /// It must conform to the \ref concepts::ReadWriteMap "ReadWriteMap" concept.
 		    /// It must conform to the
 		    /// \ref concepts::ReadWriteMap "ReadWriteMap" concept.
 		    typedef typename Digraph::template NodeMap<bool> ReachedMap;
 		    /// \brief Instantiates a ReachedMap.
 		    ///
 		    /// This function instantiates a ReachedMap.
 		    /// \param digraph is the digraph, to which
 		    /// we would like to define the ReachedMap.
 		    static ReachedMap *createReachedMap(const Digraph &digraph) {
 		      return new ReachedMap(digraph);
+		    }
 		  };
 		  /// \ingroup search
 		  ///
 		  /// \brief DFS algorithm class with visitor interface.
 		  ///
 		  /// This class provides an efficient implementation of the DFS algorithm
 		  /// with visitor interface.
 		  ///
 		  /// The DfsVisit class provides an alternative interface to the Dfs
 		  /// class. It works with callback mechanism, the DfsVisit object calls
 		  /// the member functions of the \c Visitor class on every DFS event.
 		  ///

lemon/dijkstra.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_DIJKSTRA_H
 		#define LEMON_DIJKSTRA_H
 		///\ingroup shortest_path
 		///\file
 		///\brief Dijkstra algorithm.
 		#include <limits>
 		#include <lemon/list_graph.h>
 		#include <lemon/bin_heap.h>
 		#include <lemon/bits/path_dump.h>

lemon/dimacs.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_DIMACS_H
 		#define LEMON_DIMACS_H
 		#include <iostream>
 		#include <string>
 		#include <vector>
 		#include <limits>
 		#include <lemon/maps.h>
 		#include <lemon/error.h>
 		/// \ingroup dimacs_group
 		/// \file
@@ -40,49 +40,49 @@
 		    ///\brief DIMACS file type enum
 		    ///
 		    ///DIMACS file type enum.
 		    enum Type {
 		      NONE,  ///< Undefined type.
 		      MIN,   ///< DIMACS file type for minimum cost flow problems.
 		      MAX,   ///< DIMACS file type for maximum flow problems.
 		      SP,    ///< DIMACS file type for shostest path problems.
 		      MAT    ///< DIMACS file type for plain graphs and matching problems.
 		    };
 		    ///The file type
 		    Type type;
 		    ///The number of nodes in the graph
 		    int nodeNum;
 		    ///The number of edges in the graph
 		    int edgeNum;
 		    int lineShift;
 		    ///Constructor. It sets the type to \c NONE.
 		    DimacsDescriptor() : type(NONE) {}
 		  };
 		  ///Discover the type of a DIMACS file
 		  ///This function starts seeking the beginning of the given file for the
-		  ///problem type and size info.
 		  ///problem type and size info.
 		  ///The found data is returned in a special struct that can be evaluated
 		  ///and passed to the appropriate reader function.
 		  DimacsDescriptor dimacsType(std::istream& is)
+		  {
 		    DimacsDescriptor r;
 		    std::string problem,str;
 		    char c;
 		    r.lineShift=0;
 		    while (is >> c)
 		      switch(c)
+		        {
 		        case 'p':
 		          if(is >> problem >> r.nodeNum >> r.edgeNum)
+		            {
 		              getline(is, str);
 		              r.lineShift++;
 		              if(problem=="min") r.type=DimacsDescriptor::MIN;
 		              else if(problem=="max") r.type=DimacsDescriptor::MAX;
 		              else if(problem=="sp") r.type=DimacsDescriptor::SP;
 		              else if(problem=="mat") r.type=DimacsDescriptor::MAT;
 		              else throw FormatError("Unknown problem type");
 		              return r;
+		            }
 		          else
@@ -191,74 +191,74 @@
 		                   Digraph &g,
 		                   CapacityMap& capacity,
 		                   typename Digraph::Node &s,
 		                   typename Digraph::Node &t,
 		                   typename CapacityMap::Value infty = 0,
 		                   DimacsDescriptor desc=DimacsDescriptor()) {
 		    g.clear();
 		    s=t=INVALID;
 		    std::vector<typename Digraph::Node> nodes;
 		    typename Digraph::Arc e;
 		    char c, d;
 		    int i, j;
 		    typename CapacityMap::Value _cap;
 		    std::string str;
 		    nodes.resize(desc.nodeNum + 1);
 		    for (int k = 1; k <= desc.nodeNum; ++k) {
 		      nodes[k] = g.addNode();
+		    }
 		    typedef typename CapacityMap::Value Capacity;
 		    if(infty==0)
 		      infty = std::numeric_limits<Capacity>::has_infinity ?
 		        std::numeric_limits<Capacity>::infinity() :
 		        std::numeric_limits<Capacity>::max();
 		    while (is >> c) {
 		      switch (c) {
 		      case 'c': // comment line
 		        getline(is, str);
 		        break;
 		      case 'n': // node definition line
 		        if (desc.type==DimacsDescriptor::SP) { // shortest path problem
 		          is >> i;
 		          getline(is, str);
 		          s = nodes[i];
+		        }
 		        if (desc.type==DimacsDescriptor::MAX) { // max flow problem
 		          is >> i >> d;
 		          getline(is, str);
 		          if (d == 's') s = nodes[i];
 		          if (d == 't') t = nodes[i];
+		        }
 		        break;
 		      case 'a': // arc definition line
 		        if (desc.type==DimacsDescriptor::SP) {
 		          is >> i >> j >> _cap;
 		          getline(is, str);
 		          e = g.addArc(nodes[i], nodes[j]);
 		          capacity.set(e, _cap);
+		        }
+		        }
 		        else if (desc.type==DimacsDescriptor::MAX) {
 		          is >> i >> j >> _cap;
 		          getline(is, str);
 		          e = g.addArc(nodes[i], nodes[j]);
 		          if (_cap >= 0)
 		            capacity.set(e, _cap);
 		          else
 		            capacity.set(e, infty);
+		        }
 		        else {
 		          is >> i >> j;
 		          getline(is, str);
 		          g.addArc(nodes[i], nodes[j]);
+		        }
 		        break;
+		      }
+		    }
+		  }
 		  /// \brief DIMACS maximum flow reader function.
 		  ///
 		  /// This function reads a maximum flow instance from DIMACS format,
 		  /// i.e. from a DIMACS file having a line starting with
 		  /// \code
@@ -341,79 +341,79 @@
 		                     CapacityMap& capacity,
 		                     typename CapacityMap::Value infty = 0,
 		                     DimacsDescriptor desc=DimacsDescriptor()) {
 		    typename Digraph::Node u,v;
 		    if(desc.type==DimacsDescriptor::NONE) desc=dimacsType(is);
 		    if(desc.type!=DimacsDescriptor::MAX || desc.type!=DimacsDescriptor::SP)
 		      throw FormatError("Problem type mismatch");
 		    _readDimacs(is, g, capacity, u, v, infty, desc);
+		  }
 		  template<typename Graph>
 		  typename enable_if<lemon::UndirectedTagIndicator<Graph>,void>::type
 		  _addArcEdge(Graph &g, typename Graph::Node s, typename Graph::Node t,
 		              dummy<0> = 0)
+		  {
 		    g.addEdge(s,t);
+		  }
 		  template<typename Graph>
 		  typename disable_if<lemon::UndirectedTagIndicator<Graph>,void>::type
 		  _addArcEdge(Graph &g, typename Graph::Node s, typename Graph::Node t,
 		              dummy<1> = 1)
+		  {
 		    g.addArc(s,t);
+		  }
 		  /// \brief DIMACS plain (di)graph reader function.
 		  ///
 		  /// This function reads a plain (di)graph without any designated nodes
-		  /// and maps (e.g. a matching instance) from DIMACS format, i.e. from
 		  /// and maps (e.g. a matching instance) from DIMACS format, i.e. from
 		  /// DIMACS files having a line starting with
 		  /// \code
 		  ///   p mat
 		  /// \endcode
 		  /// At the beginning, \c g is cleared by \c g.clear().
 		  ///
 		  /// If the file type was previously evaluated by dimacsType(), then
 		  /// the descriptor struct should be given by the \c dest parameter.
 		  template<typename Graph>
 		  void readDimacsMat(std::istream& is, Graph &g,
 		                     DimacsDescriptor desc=DimacsDescriptor())
+		  {
 		    if(desc.type==DimacsDescriptor::NONE) desc=dimacsType(is);
 		    if(desc.type!=DimacsDescriptor::MAT)
 		      throw FormatError("Problem type mismatch");
 		    g.clear();
 		    std::vector<typename Graph::Node> nodes;
 		    char c;
 		    int i, j;
 		    std::string str;
 		    nodes.resize(desc.nodeNum + 1);
 		    for (int k = 1; k <= desc.nodeNum; ++k) {
 		      nodes[k] = g.addNode();
+		    }
 		    while (is >> c) {
 		      switch (c) {
 		      case 'c': // comment line
 		        getline(is, str);
 		        break;
 		      case 'n': // node definition line
 		        break;
 		      case 'a': // arc definition line
 		        is >> i >> j;
 		        getline(is, str);
 		        _addArcEdge(g,nodes[i], nodes[j]);
 		        break;
+		      }
+		    }
+		  }
 		  /// DIMACS plain digraph writer function.
 		  ///
 		  /// This function writes a digraph without any designated nodes and
 		  /// maps into DIMACS format, i.e. into DIMACS file having a line
 		  /// starting with
 		  /// \code
 		  ///   p mat
 		  /// \endcode

lemon/edge_set.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2008
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_EDGE_SET_H
 		#define LEMON_EDGE_SET_H
 		#include <lemon/core.h>
 		#include <lemon/bits/edge_set_extender.h>
 		/// \ingroup graphs
 		/// \file
 		/// \brief ArcSet and EdgeSet classes.
 		///
 		/// Graphs which use another graph's node-set as own.

lemon/euler.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_EULER_H
 		#define LEMON_EULER_H
 		#include<lemon/core.h>
 		#include<lemon/adaptors.h>
 		#include<lemon/connectivity.h>
 		#include <list>
 		/// \ingroup graph_properties
 		/// \file
-		/// \brief Euler tour iterators and a function for checking the \e Eulerian
 		/// \brief Euler tour iterators and a function for checking the \e Eulerian
 		/// property.
 		///
 		///This file provides Euler tour iterators and a function to check
 		///if a (di)graph is \e Eulerian.
 		namespace lemon {
 		  ///Euler tour iterator for digraphs.
 		  /// \ingroup graph_prop
 		  ///This iterator provides an Euler tour (Eulerian circuit) of a \e directed
 		  ///graph (if there exists) and it converts to the \c Arc type of the digraph.
 		  ///
 		  ///For example, if the given digraph has an Euler tour (i.e it has only one
-		  ///non-trivial component and the in-degree is equal to the out-degree
 		  ///non-trivial component and the in-degree is equal to the out-degree
 		  ///for all nodes), then the following code will put the arcs of \c g
 		  ///to the vector \c et according to an Euler tour of \c g.
 		  ///\code
 		  ///  std::vector<ListDigraph::Arc> et;
 		  ///  for(DiEulerIt<ListDigraph> e(g); e!=INVALID; ++e)
 		  ///    et.push_back(e);
 		  ///\endcode
 		  ///If \c g has no Euler tour, then the resulted walk will not be closed
 		  ///or not contain all arcs.
 		  ///\sa EulerIt
 		  template<typename GR>
 		  class DiEulerIt
+		  {
 		    typedef typename GR::Node Node;
 		    typedef typename GR::NodeIt NodeIt;
 		    typedef typename GR::Arc Arc;
 		    typedef typename GR::ArcIt ArcIt;
 		    typedef typename GR::OutArcIt OutArcIt;
 		    typedef typename GR::InArcIt InArcIt;
 		    const GR &g;
 		    typename GR::template NodeMap<OutArcIt> narc;
 		    std::list<Arc> euler;
@@ -117,58 +117,58 @@
 		      return *this;
+		    }
 		    ///Postfix incrementation
 		    /// Postfix incrementation.
 		    ///
 		    ///\warning This incrementation
 		    ///returns an \c Arc, not a \ref DiEulerIt, as one may
 		    ///expect.
 		    Arc operator++(int)
+		    {
 		      Arc e=*this;
 		      ++(*this);
 		      return e;
+		    }
 		  };
 		  ///Euler tour iterator for graphs.
 		  /// \ingroup graph_properties
 		  ///This iterator provides an Euler tour (Eulerian circuit) of an
 		  ///\e undirected graph (if there exists) and it converts to the \c Arc
 		  ///and \c Edge types of the graph.
 		  ///
-		  ///For example, if the given graph has an Euler tour (i.e it has only one
 		  ///For example, if the given graph has an Euler tour (i.e it has only one
 		  ///non-trivial component and the degree of each node is even),
 		  ///the following code will print the arc IDs according to an
 		  ///Euler tour of \c g.
 		  ///\code
 		  ///  for(EulerIt<ListGraph> e(g); e!=INVALID; ++e) {
 		  ///    std::cout << g.id(Edge(e)) << std::eol;
 		  ///  }
 		  ///\endcode
-		  ///Although this iterator is for undirected graphs, it still returns
 		  ///Although this iterator is for undirected graphs, it still returns
 		  ///arcs in order to indicate the direction of the tour.
 		  ///(But arcs convert to edges, of course.)
 		  ///
 		  ///If \c g has no Euler tour, then the resulted walk will not be closed
 		  ///or not contain all edges.
 		  template<typename GR>
 		  class EulerIt
+		  {
 		    typedef typename GR::Node Node;
 		    typedef typename GR::NodeIt NodeIt;
 		    typedef typename GR::Arc Arc;
 		    typedef typename GR::Edge Edge;
 		    typedef typename GR::ArcIt ArcIt;
 		    typedef typename GR::OutArcIt OutArcIt;
 		    typedef typename GR::InArcIt InArcIt;
 		    const GR &g;
 		    typename GR::template NodeMap<OutArcIt> narc;
 		    typename GR::template EdgeMap<bool> visited;
 		    std::list<Arc> euler;
 		  public:
 		    ///Constructor
@@ -212,49 +212,49 @@
 		    ///Next arc of the tour
 		    ///
 		    EulerIt &operator++() {
 		      Node s=g.target(euler.front());
 		      euler.pop_front();
 		      typename std::list<Arc>::iterator next=euler.begin();
 		      while(narc[s]!=INVALID) {
 		        while(narc[s]!=INVALID && visited[narc[s]]) ++narc[s];
 		        if(narc[s]==INVALID) break;
 		        else {
 		          euler.insert(next,narc[s]);
 		          visited[narc[s]]=true;
 		          Node n=g.target(narc[s]);
 		          ++narc[s];
 		          s=n;
+		        }
+		      }
 		      return *this;
+		    }
 		    ///Postfix incrementation
 		    /// Postfix incrementation.
 		    ///
-		    ///\warning This incrementation returns an \c Arc (which converts to
 		    ///\warning This incrementation returns an \c Arc (which converts to
 		    ///an \c Edge), not an \ref EulerIt, as one may expect.
 		    Arc operator++(int)
+		    {
 		      Arc e=*this;
 		      ++(*this);
 		      return e;
+		    }
 		  };
 		  ///Check if the given graph is Eulerian
 		  /// \ingroup graph_properties
 		  ///This function checks if the given graph is Eulerian.
 		  ///It works for both directed and undirected graphs.
 		  ///
 		  ///By definition, a digraph is called \e Eulerian if
 		  ///and only if it is connected and the number of incoming and outgoing
 		  ///arcs are the same for each node.
 		  ///Similarly, an undirected graph is called \e Eulerian if
 		  ///and only if it is connected and the number of incident edges is even
 		  ///for each node.
 		  ///
 		  ///\note There are (di)graphs that are not Eulerian, but still have an

lemon/fractional_matching.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_FRACTIONAL_MATCHING_H
 		#define LEMON_FRACTIONAL_MATCHING_H
 		#include <vector>
 		#include <queue>
 		#include <set>
 		#include <limits>
 		#include <lemon/core.h>
 		#include <lemon/unionfind.h>
 		#include <lemon/bin_heap.h>
@@ -1988,49 +1988,49 @@
+		          {
 		            Edge e = _delta3->top();
 		            Node left = _graph.u(e);
 		            Node right = _graph.v(e);
 		            int left_tree = _tree_set->find(left);
 		            int right_tree = _tree_set->find(right);
 		            if (left_tree == right_tree) {
 		              cycleOnEdge(e, left_tree);
 		              --unmatched;
 		            } else {
 		              augmentOnEdge(e);
 		              unmatched -= 2;
+		            }
 		          } break;
+		        }
+		      }
 		      return true;
+		    }
 		    /// \brief Run the algorithm.
 		    ///
-		    /// This method runs the \c %MaxWeightedPerfectFractionalMatching
 		    /// This method runs the \c %MaxWeightedPerfectFractionalMatching
 		    /// algorithm.
 		    ///
 		    /// \note mwfm.run() is just a shortcut of the following code.
 		    /// \code
 		    ///   mwpfm.init();
 		    ///   mwpfm.start();
 		    /// \endcode
 		    bool run() {
 		      init();
 		      return start();
+		    }
 		    /// @}
 		    /// \name Primal Solution
 		    /// Functions to get the primal solution, i.e. the maximum weighted
 		    /// matching.\n
 		    /// Either \ref run() or \ref start() function should be called before
 		    /// using them.
 		    /// @{
 		    /// \brief Return the weight of the matching.
 		    ///

lemon/full_graph.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_FULL_GRAPH_H
 		#define LEMON_FULL_GRAPH_H
 		#include <lemon/core.h>
 		#include <lemon/bits/graph_extender.h>
 		///\ingroup graphs
 		///\file
 		///\brief FullDigraph and FullGraph classes.
 		namespace lemon {
@@ -182,58 +182,58 @@
 		    /// Default constructor. The number of nodes and arcs will be zero.
 		    FullDigraph() { construct(0); }
 		    /// \brief Constructor
 		    ///
 		    /// Constructor.
 		    /// \param n The number of the nodes.
 		    FullDigraph(int n) { construct(n); }
 		    /// \brief Resizes the digraph
 		    ///
 		    /// This function resizes the digraph. It fully destroys and
 		    /// rebuilds the structure, therefore the maps of the digraph will be
 		    /// reallocated automatically and the previous values will be lost.
 		    void resize(int n) {
 		      Parent::notifier(Arc()).clear();
 		      Parent::notifier(Node()).clear();
 		      construct(n);
 		      Parent::notifier(Node()).build();
 		      Parent::notifier(Arc()).build();
+		    }
 		    /// \brief Returns the node with the given index.
 		    ///
-		    /// Returns the node with the given index. Since this structure is
 		    /// Returns the node with the given index. Since this structure is
 		    /// completely static, the nodes can be indexed with integers from
 		    /// the range <tt>[0..nodeNum()-1]</tt>.
 		    /// The index of a node is the same as its ID.
 		    /// \sa index()
 		    Node operator()(int ix) const { return Parent::operator()(ix); }
 		    /// \brief Returns the index of the given node.
 		    ///
-		    /// Returns the index of the given node. Since this structure is
 		    /// Returns the index of the given node. Since this structure is
 		    /// completely static, the nodes can be indexed with integers from
 		    /// the range <tt>[0..nodeNum()-1]</tt>.
 		    /// The index of a node is the same as its ID.
 		    /// \sa operator()()
 		    static int index(const Node& node) { return Parent::index(node); }
 		    /// \brief Returns the arc connecting the given nodes.
 		    ///
 		    /// Returns the arc connecting the given nodes.
 		    Arc arc(Node u, Node v) const {
 		      return Parent::arc(u, v);
+		    }
 		    /// \brief Number of nodes.
 		    int nodeNum() const { return Parent::nodeNum(); }
 		    /// \brief Number of arcs.
 		    int arcNum() const { return Parent::arcNum(); }
 		  };
 		  class FullGraphBase {
 		  public:
 		    typedef FullGraphBase Graph;
@@ -561,58 +561,58 @@
 		    /// \brief Constructor
 		    ///
 		    /// Constructor.
 		    /// \param n The number of the nodes.
 		    FullGraph(int n) { construct(n); }
 		    /// \brief Resizes the graph
 		    ///
 		    /// This function resizes the graph. It fully destroys and
 		    /// rebuilds the structure, therefore the maps of the graph will be
 		    /// reallocated automatically and the previous values will be lost.
 		    void resize(int n) {
 		      Parent::notifier(Arc()).clear();
 		      Parent::notifier(Edge()).clear();
 		      Parent::notifier(Node()).clear();
 		      construct(n);
 		      Parent::notifier(Node()).build();
 		      Parent::notifier(Edge()).build();
 		      Parent::notifier(Arc()).build();
+		    }
 		    /// \brief Returns the node with the given index.
 		    ///
-		    /// Returns the node with the given index. Since this structure is
 		    /// Returns the node with the given index. Since this structure is
 		    /// completely static, the nodes can be indexed with integers from
 		    /// the range <tt>[0..nodeNum()-1]</tt>.
 		    /// The index of a node is the same as its ID.
 		    /// \sa index()
 		    Node operator()(int ix) const { return Parent::operator()(ix); }
 		    /// \brief Returns the index of the given node.
 		    ///
-		    /// Returns the index of the given node. Since this structure is
 		    /// Returns the index of the given node. Since this structure is
 		    /// completely static, the nodes can be indexed with integers from
 		    /// the range <tt>[0..nodeNum()-1]</tt>.
 		    /// The index of a node is the same as its ID.
 		    /// \sa operator()()
 		    static int index(const Node& node) { return Parent::index(node); }
 		    /// \brief Returns the arc connecting the given nodes.
 		    ///
 		    /// Returns the arc connecting the given nodes.
 		    Arc arc(Node s, Node t) const {
 		      return Parent::arc(s, t);
+		    }
 		    /// \brief Returns the edge connecting the given nodes.
 		    ///
 		    /// Returns the edge connecting the given nodes.
 		    Edge edge(Node u, Node v) const {
 		      return Parent::edge(u, v);
+		    }
 		    /// \brief Number of nodes.
 		    int nodeNum() const { return Parent::nodeNum(); }
 		    /// \brief Number of arcs.
 		    int arcNum() const { return Parent::arcNum(); }

lemon/glpk.cc

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		///\file
 		///\brief Implementation of the LEMON GLPK LP and MIP solver interface.
 		#include <lemon/glpk.h>
 		#include <glpk.h>
 		#include <lemon/assert.h>
 		namespace lemon {
 		  // GlpkBase members
@@ -38,62 +38,62 @@
 		    lp = glp_create_prob();
 		    glp_copy_prob(lp, other.lp, GLP_ON);
 		    glp_create_index(lp);
 		    rows = other.rows;
 		    cols = other.cols;
 		    messageLevel(MESSAGE_NOTHING);
+		  }
 		  GlpkBase::~GlpkBase() {
 		    glp_delete_prob(lp);
+		  }
 		  int GlpkBase::_addCol() {
 		    int i = glp_add_cols(lp, 1);
 		    glp_set_col_bnds(lp, i, GLP_FR, 0.0, 0.0);
 		    return i;
+		  }
 		  int GlpkBase::_addRow() {
 		    int i = glp_add_rows(lp, 1);
 		    glp_set_row_bnds(lp, i, GLP_FR, 0.0, 0.0);
 		    return i;
+		  }
-		  int GlpkBase::_addRow(Value lo, ExprIterator b,
 		  int GlpkBase::_addRow(Value lo, ExprIterator b,
 		                        ExprIterator e, Value up) {
 		    int i = glp_add_rows(lp, 1);
 		    if (lo == -INF) {
 		      if (up == INF) {
 		        glp_set_row_bnds(lp, i, GLP_FR, lo, up);
 		      } else {
 		        glp_set_row_bnds(lp, i, GLP_UP, lo, up);
+		      }
+		      }
 		    } else {
 		      if (up == INF) {
 		        glp_set_row_bnds(lp, i, GLP_LO, lo, up);
-		      } else if (lo != up) {
 		      } else if (lo != up) {
 		        glp_set_row_bnds(lp, i, GLP_DB, lo, up);
 		      } else {
 		        glp_set_row_bnds(lp, i, GLP_FX, lo, up);
+		      }
+		    }
 		    std::vector<int> indexes;
 		    std::vector<Value> values;
 		    indexes.push_back(0);
 		    values.push_back(0);
 		    for(ExprIterator it = b; it != e; ++it) {
 		      indexes.push_back(it->first);
 		      values.push_back(it->second);
+		    }
 		    glp_set_mat_row(lp, i, values.size() - 1,
 		                    &indexes.front(), &values.front());
 		    return i;
+		  }
 		  void GlpkBase::_eraseCol(int i) {
 		    int ca[2];

lemon/glpk.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2008
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_GLPK_H
 		#define LEMON_GLPK_H
 		///\file
 		///\brief Header of the LEMON-GLPK lp solver interface.
 		///\ingroup lp_group
 		#include <lemon/lp_base.h>
 		namespace lemon {
 		  namespace _solver_bits {
 		    class VoidPtr {
 		    private:
-		      void *_ptr;
 		      void *_ptr;
 		    public:
 		      VoidPtr() : _ptr(0) {}
 		      template <typename T>
 		      VoidPtr(T* ptr) : _ptr(reinterpret_cast<void*>(ptr)) {}
 		      template <typename T>
 		      VoidPtr& operator=(T* ptr) {
 		        _ptr = reinterpret_cast<void*>(ptr);
 		      VoidPtr& operator=(T* ptr) {
 		        _ptr = reinterpret_cast<void*>(ptr);
 		        return *this;
+		      }
 		      template <typename T>
 		      operator T*() const { return reinterpret_cast<T*>(_ptr); }
 		    };
+		  }
 		  /// \brief Base interface for the GLPK LP and MIP solver
 		  ///
 		  /// This class implements the common interface of the GLPK LP and MIP solver.
 		  /// \ingroup lp_group
 		  class GlpkBase : virtual public LpBase {
 		  protected:
 		    _solver_bits::VoidPtr lp;
 		    GlpkBase();
 		    GlpkBase(const GlpkBase&);
 		    virtual ~GlpkBase();
 		  protected:
 		    virtual int _addCol();
@@ -103,55 +103,55 @@
 		    virtual Value _getRowUpperBound(int i) const;
 		    virtual void _setObjCoeffs(ExprIterator b, ExprIterator e);
 		    virtual void _getObjCoeffs(InsertIterator b) const;
 		    virtual void _setObjCoeff(int i, Value obj_coef);
 		    virtual Value _getObjCoeff(int i) const;
 		    virtual void _setSense(Sense);
 		    virtual Sense _getSense() const;
 		    virtual void _clear();
 		    virtual void _messageLevel(MessageLevel level);
 		  private:
 		    static void freeEnv();
 		    struct FreeEnvHelper {
 		      ~FreeEnvHelper() {
 		        freeEnv();
+		      }
 		    };
 		    static FreeEnvHelper freeEnvHelper;
 		  protected:
 		    int _message_level;
 		  public:
 		    ///Pointer to the underlying GLPK data structure.
 		    _solver_bits::VoidPtr lpx() {return lp;}
 		    ///Const pointer to the underlying GLPK data structure.
 		    _solver_bits::VoidPtr lpx() const {return lp;}
 		    ///Returns the constraint identifier understood by GLPK.
 		    int lpxRow(Row r) const { return rows(id(r)); }
 		    ///Returns the variable identifier understood by GLPK.
 		    int lpxCol(Col c) const { return cols(id(c)); }
 		  };
 		  /// \brief Interface for the GLPK LP solver
 		  ///
 		  /// This class implements an interface for the GLPK LP solver.
 		  ///\ingroup lp_group
 		  class GlpkLp : public LpSolver, public GlpkBase {
 		  public:
 		    ///\e
 		    GlpkLp();

lemon/gomory_hu.h

Show inline comments

 		/* -*- C++ -*-
+		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library
+		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2008
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_GOMORY_HU_TREE_H
 		#define LEMON_GOMORY_HU_TREE_H
 		#include <limits>
 		#include <lemon/core.h>
 		#include <lemon/preflow.h>
 		#include <lemon/concept_check.h>
 		#include <lemon/concepts/maps.h>
 		/// \ingroup min_cut
-		/// \file
 		/// \file
 		/// \brief Gomory-Hu cut tree in graphs.
 		namespace lemon {
 		  /// \ingroup min_cut
 		  ///
 		  /// \brief Gomory-Hu cut tree algorithm
 		  ///
 		  /// The Gomory-Hu tree is a tree on the node set of a given graph, but it
 		  /// may contain edges which are not in the original graph. It has the
-		  /// property that the minimum capacity edge of the path between two nodes
 		  /// property that the minimum capacity edge of the path between two nodes
 		  /// in this tree has the same weight as the minimum cut in the graph
 		  /// between these nodes. Moreover the components obtained by removing
 		  /// this edge from the tree determine the corresponding minimum cut.
 		  /// Therefore once this tree is computed, the minimum cut between any pair
 		  /// of nodes can easily be obtained.
-		  ///
 		  ///
 		  /// The algorithm calculates \e n-1 distinct minimum cuts (currently with
 		  /// the \ref Preflow algorithm), thus it has \f$O(n^3\sqrt{e})\f$ overall
 		  /// time complexity. It calculates a rooted Gomory-Hu tree.
 		  /// The structure of the tree and the edge weights can be
 		  /// obtained using \c predNode(), \c predValue() and \c rootDist().
 		  /// The functions \c minCutMap() and \c minCutValue() calculate
 		  /// the minimum cut and the minimum cut value between any two nodes
 		  /// in the graph. You can also list (iterate on) the nodes and the
 		  /// edges of the cuts using \c MinCutNodeIt and \c MinCutEdgeIt.
 		  ///
 		  /// \tparam GR The type of the undirected graph the algorithm runs on.
 		  /// \tparam CAP The type of the edge map containing the capacities.
 		  /// The default map type is \ref concepts::Graph::EdgeMap "GR::EdgeMap<int>".
 		#ifdef DOXYGEN
 		  template <typename GR,
-			    typename CAP>
+		            typename CAP>
 		#else
 		  template <typename GR,
-			    typename CAP = typename GR::template EdgeMap<int> >
+		            typename CAP = typename GR::template EdgeMap<int> >
 		#endif
 		  class GomoryHu {
 		  public:
 		    /// The graph type of the algorithm
 		    typedef GR Graph;
 		    /// The capacity map type of the algorithm
 		    typedef CAP Capacity;
 		    /// The value type of capacities
 		    typedef typename Capacity::Value Value;
 		  private:
 		    TEMPLATE_GRAPH_TYPEDEFS(Graph);
 		    const Graph& _graph;
 		    const Capacity& _capacity;
 		    Node _root;
 		    typename Graph::template NodeMap<Node>* _pred;
 		    typename Graph::template NodeMap<Value>* _weight;
 		    typename Graph::template NodeMap<int>* _order;
 		    void createStructures() {
 		      if (!_pred) {
-			_pred = new typename Graph::template NodeMap<Node>(_graph);
+		        _pred = new typename Graph::template NodeMap<Node>(_graph);
+		      }
 		      if (!_weight) {
-			_weight = new typename Graph::template NodeMap<Value>(_graph);
+		        _weight = new typename Graph::template NodeMap<Value>(_graph);
+		      }
 		      if (!_order) {
-			_order = new typename Graph::template NodeMap<int>(_graph);
+		        _order = new typename Graph::template NodeMap<int>(_graph);
+		      }
+		    }
 		    void destroyStructures() {
 		      if (_pred) {
-			delete _pred;
+		        delete _pred;
+		      }
 		      if (_weight) {
-			delete _weight;
+		        delete _weight;
+		      }
 		      if (_order) {
-			delete _order;
+		        delete _order;
+		      }
+		    }
 		  public:
 		    /// \brief Constructor
 		    ///
 		    /// Constructor.
 		    /// \param graph The undirected graph the algorithm runs on.
 		    /// \param capacity The edge capacity map.
-		    GomoryHu(const Graph& graph, const Capacity& capacity)
 		    GomoryHu(const Graph& graph, const Capacity& capacity)
 		      : _graph(graph), _capacity(capacity),
-			_pred(0), _weight(0), _order(0)
+		        _pred(0), _weight(0), _order(0)
+		    {
 		      checkConcept<concepts::ReadMap<Edge, Value>, Capacity>();
+		    }
 		    /// \brief Destructor
 		    ///
 		    /// Destructor.
 		    ~GomoryHu() {
 		      destroyStructures();
+		    }
 		  private:
 		    // Initialize the internal data structures
 		    void init() {
 		      createStructures();
 		      _root = NodeIt(_graph);
 		      for (NodeIt n(_graph); n != INVALID; ++n) {
 		        (*_pred)[n] = _root;
 		        (*_order)[n] = -1;
+		      }
 		      (*_pred)[_root] = INVALID;
-		      (*_weight)[_root] = std::numeric_limits<Value>::max();
 		      (*_weight)[_root] = std::numeric_limits<Value>::max();
+		    }
 		    // Start the algorithm
 		    void start() {
 		      Preflow<Graph, Capacity> fa(_graph, _capacity, _root, INVALID);
 		      for (NodeIt n(_graph); n != INVALID; ++n) {
-			if (n == _root) continue;
+		        if (n == _root) continue;
 			Node pn = (*_pred)[n];
 			fa.source(n);
-			fa.target(pn);
+		        Node pn = (*_pred)[n];
 		        fa.source(n);
 		        fa.target(pn);
-			fa.runMinCut();
+		        fa.runMinCut();
-			(*_weight)[n] = fa.flowValue();
+		        (*_weight)[n] = fa.flowValue();
 			for (NodeIt nn(_graph); nn != INVALID; ++nn) {
 			  if (nn != n && fa.minCut(nn) && (*_pred)[nn] == pn) {
 			    (*_pred)[nn] = n;
+			  }
+			}
 			if ((*_pred)[pn] != INVALID && fa.minCut((*_pred)[pn])) {
 			  (*_pred)[n] = (*_pred)[pn];
 			  (*_pred)[pn] = n;
 			  (*_weight)[n] = (*_weight)[pn];
 			  (*_weight)[pn] = fa.flowValue();
+			}
+		        for (NodeIt nn(_graph); nn != INVALID; ++nn) {
 		          if (nn != n && fa.minCut(nn) && (*_pred)[nn] == pn) {
 		            (*_pred)[nn] = n;
+		          }
+		        }
 		        if ((*_pred)[pn] != INVALID && fa.minCut((*_pred)[pn])) {
 		          (*_pred)[n] = (*_pred)[pn];
 		          (*_pred)[pn] = n;
 		          (*_weight)[n] = (*_weight)[pn];
 		          (*_weight)[pn] = fa.flowValue();
+		        }
+		      }
 		      (*_order)[_root] = 0;
 		      int index = 1;
 		      for (NodeIt n(_graph); n != INVALID; ++n) {
 			std::vector<Node> st;
 			Node nn = n;
 			while ((*_order)[nn] == -1) {
 			  st.push_back(nn);
 			  nn = (*_pred)[nn];
+			}
 			while (!st.empty()) {
 			  (*_order)[st.back()] = index++;
 			  st.pop_back();
+			}
 		        std::vector<Node> st;
 		        Node nn = n;
 		        while ((*_order)[nn] == -1) {
 		          st.push_back(nn);
 		          nn = (*_pred)[nn];
+		        }
 		        while (!st.empty()) {
 		          (*_order)[st.back()] = index++;
 		          st.pop_back();
+		        }
+		      }
+		    }
 		  public:
 		    ///\name Execution Control
 		    ///@{
 		    /// \brief Run the Gomory-Hu algorithm.
 		    ///
 		    /// This function runs the Gomory-Hu algorithm.
 		    void run() {
 		      init();
 		      start();
+		    }
 		    /// @}
 		    ///\name Query Functions
 		    ///The results of the algorithm can be obtained using these
 		    ///functions.\n
 		    ///\ref run() should be called before using them.\n
 		    ///See also \ref MinCutNodeIt and \ref MinCutEdgeIt.
 		    ///@{
 		    /// \brief Return the predecessor node in the Gomory-Hu tree.
 		    ///
 		    /// This function returns the predecessor node of the given node
 		    /// in the Gomory-Hu tree.
 		    /// If \c node is the root of the tree, then it returns \c INVALID.
 		    ///
 		    /// \pre \ref run() must be called before using this function.
 		    Node predNode(const Node& node) const {
 		      return (*_pred)[node];
+		    }
 		    /// \brief Return the weight of the predecessor edge in the
 		    /// Gomory-Hu tree.
 		    ///
-		    /// This function returns the weight of the predecessor edge of the
 		    /// This function returns the weight of the predecessor edge of the
 		    /// given node in the Gomory-Hu tree.
 		    /// If \c node is the root of the tree, the result is undefined.
 		    ///
 		    /// \pre \ref run() must be called before using this function.
 		    Value predValue(const Node& node) const {
 		      return (*_weight)[node];
+		    }
 		    /// \brief Return the distance from the root node in the Gomory-Hu tree.
 		    ///
 		    /// This function returns the distance of the given node from the root
 		    /// node in the Gomory-Hu tree.
 		    ///
 		    /// \pre \ref run() must be called before using this function.
 		    int rootDist(const Node& node) const {
 		      return (*_order)[node];
+		    }
 		    /// \brief Return the minimum cut value between two nodes
 		    ///
 		    /// This function returns the minimum cut value between the nodes
-		    /// \c s and \c t.
 		    /// \c s and \c t.
 		    /// It finds the nearest common ancestor of the given nodes in the
 		    /// Gomory-Hu tree and calculates the minimum weight edge on the
 		    /// paths to the ancestor.
 		    ///
 		    /// \pre \ref run() must be called before using this function.
 		    Value minCutValue(const Node& s, const Node& t) const {
 		      Node sn = s, tn = t;
 		      Value value = std::numeric_limits<Value>::max();
 		      while (sn != tn) {
 			if ((*_order)[sn] < (*_order)[tn]) {
 			  if ((*_weight)[tn] <= value) value = (*_weight)[tn];
 			  tn = (*_pred)[tn];
 			} else {
 			  if ((*_weight)[sn] <= value) value = (*_weight)[sn];
 			  sn = (*_pred)[sn];
+			}
+		        if ((*_order)[sn] < (*_order)[tn]) {
 		          if ((*_weight)[tn] <= value) value = (*_weight)[tn];
 		          tn = (*_pred)[tn];
 		        } else {
 		          if ((*_weight)[sn] <= value) value = (*_weight)[sn];
 		          sn = (*_pred)[sn];
+		        }
+		      }
 		      return value;
+		    }
 		    /// \brief Return the minimum cut between two nodes
 		    ///
 		    /// This function returns the minimum cut between the nodes \c s and \c t
 		    /// in the \c cutMap parameter by setting the nodes in the component of
 		    /// \c s to \c true and the other nodes to \c false.
 		    ///
 		    /// For higher level interfaces see MinCutNodeIt and MinCutEdgeIt.
 		    ///
 		    /// \param s The base node.
 		    /// \param t The node you want to separate from node \c s.
 		    /// \param cutMap The cut will be returned in this map.
 		    /// It must be a \c bool (or convertible) \ref concepts::ReadWriteMap
 		    /// "ReadWriteMap" on the graph nodes.
 		    ///
 		    /// \return The value of the minimum cut between \c s and \c t.
 		    ///
 		    /// \pre \ref run() must be called before using this function.
 		    template <typename CutMap>
 		    Value minCutMap(const Node& s,
 		                    const Node& t,
 		                    CutMap& cutMap
 		                    ) const {
 		      Node sn = s, tn = t;
 		      bool s_root=false;
 		      Node rn = INVALID;
 		      Value value = std::numeric_limits<Value>::max();
 		      while (sn != tn) {
 			if ((*_order)[sn] < (*_order)[tn]) {
 			  if ((*_weight)[tn] <= value) {
-			    rn = tn;
+		        if ((*_order)[sn] < (*_order)[tn]) {
 		          if ((*_weight)[tn] <= value) {
 		            rn = tn;
 		            s_root = false;
 			    value = (*_weight)[tn];
+			  }
 			  tn = (*_pred)[tn];
 			} else {
 			  if ((*_weight)[sn] <= value) {
 			    rn = sn;
 		            value = (*_weight)[tn];
+		          }
 		          tn = (*_pred)[tn];
 		        } else {
 		          if ((*_weight)[sn] <= value) {
 		            rn = sn;
 		            s_root = true;
 			    value = (*_weight)[sn];
+			  }
 			  sn = (*_pred)[sn];
+			}
 		            value = (*_weight)[sn];
+		          }
 		          sn = (*_pred)[sn];
+		        }
+		      }
 		      typename Graph::template NodeMap<bool> reached(_graph, false);
 		      reached[_root] = true;
 		      cutMap.set(_root, !s_root);
 		      reached[rn] = true;
 		      cutMap.set(rn, s_root);
 		      std::vector<Node> st;
 		      for (NodeIt n(_graph); n != INVALID; ++n) {
-			st.clear();
+		        st.clear();
 		        Node nn = n;
 			while (!reached[nn]) {
 			  st.push_back(nn);
 			  nn = (*_pred)[nn];
+			}
 			while (!st.empty()) {
 			  cutMap.set(st.back(), cutMap[nn]);
 			  st.pop_back();
+			}
 		        while (!reached[nn]) {
 		          st.push_back(nn);
 		          nn = (*_pred)[nn];
+		        }
 		        while (!st.empty()) {
 		          cutMap.set(st.back(), cutMap[nn]);
 		          st.pop_back();
+		        }
+		      }
 		      return value;
+		    }
 		    ///@}
 		    friend class MinCutNodeIt;
 		    /// Iterate on the nodes of a minimum cut
 		    /// This iterator class lists the nodes of a minimum cut found by
 		    /// GomoryHu. Before using it, you must allocate a GomoryHu class
 		    /// and call its \ref GomoryHu::run() "run()" method.
 		    ///
 		    /// This example counts the nodes in the minimum cut separating \c s from
 		    /// \c t.
 		    /// \code
 		    /// GomoryHu<Graph> gom(g, capacities);
 		    /// gom.run();
 		    /// int cnt=0;
 		    /// for(GomoryHu<Graph>::MinCutNodeIt n(gom,s,t); n!=INVALID; ++n) ++cnt;
 		    /// \endcode
 		    class MinCutNodeIt
+		    {
 		      bool _side;
 		      typename Graph::NodeIt _node_it;
 		      typename Graph::template NodeMap<bool> _cut;
 		    public:
 		      /// Constructor
 		      /// Constructor.
 		      ///
 		      MinCutNodeIt(GomoryHu const &gomory,
 		                   ///< The GomoryHu class. You must call its
@@ -421,86 +421,86 @@
 		      bool operator!=(Invalid) { return _node_it!=INVALID; }
 		      /// Next node
 		      /// Next node.
 		      ///
 		      MinCutNodeIt &operator++()
+		      {
 		        for(++_node_it;_node_it!=INVALID&&_cut[_node_it]!=_side;++_node_it) {}
 		        return *this;
+		      }
 		      /// Postfix incrementation
 		      /// Postfix incrementation.
 		      ///
 		      /// \warning This incrementation
 		      /// returns a \c Node, not a \c MinCutNodeIt, as one may
 		      /// expect.
 		      typename Graph::Node operator++(int)
+		      {
 		        typename Graph::Node n=*this;
 		        ++(*this);
 		        return n;
+		      }
 		    };
 		    friend class MinCutEdgeIt;
 		    /// Iterate on the edges of a minimum cut
 		    /// This iterator class lists the edges of a minimum cut found by
 		    /// GomoryHu. Before using it, you must allocate a GomoryHu class
 		    /// and call its \ref GomoryHu::run() "run()" method.
 		    ///
 		    /// This example computes the value of the minimum cut separating \c s from
 		    /// \c t.
 		    /// \code
 		    /// GomoryHu<Graph> gom(g, capacities);
 		    /// gom.run();
 		    /// int value=0;
 		    /// for(GomoryHu<Graph>::MinCutEdgeIt e(gom,s,t); e!=INVALID; ++e)
 		    ///   value+=capacities[e];
 		    /// \endcode
 		    /// The result will be the same as the value returned by
 		    /// \ref GomoryHu::minCutValue() "gom.minCutValue(s,t)".
 		    class MinCutEdgeIt
+		    {
 		      bool _side;
 		      const Graph &_graph;
 		      typename Graph::NodeIt _node_it;
 		      typename Graph::OutArcIt _arc_it;
 		      typename Graph::template NodeMap<bool> _cut;
 		      void step()
+		      {
 		        ++_arc_it;
 		        while(_node_it!=INVALID && _arc_it==INVALID)
+		          {
 		            for(++_node_it;_node_it!=INVALID&&!_cut[_node_it];++_node_it) {}
 		            if(_node_it!=INVALID)
 		              _arc_it=typename Graph::OutArcIt(_graph,_node_it);
+		          }
+		      }
 		    public:
 		      /// Constructor
 		      /// Constructor.
 		      ///
 		      MinCutEdgeIt(GomoryHu const &gomory,
 		                   ///< The GomoryHu class. You must call its
 		                   ///  run() method
 		                   ///  before initializing this iterator.
 		                   const Node& s,  ///< The base node.
 		                   const Node& t,
 		                   ///< The node you want to separate from node \c s.
 		                   bool side=true
 		                   ///< If it is \c true (default) then the listed arcs
 		                   ///  will be oriented from the
 		                   ///  nodes of the component containing \c s,
 		                   ///  otherwise they will be oriented in the opposite
 		                   ///  direction.
+		                   )
 		        : _graph(gomory._graph), _cut(_graph)
+		      {
 		        gomory.minCutMap(s,t,_cut);
 		        if(!side)
 		          for(typename Graph::NodeIt n(_graph);n!=INVALID;++n)
@@ -527,42 +527,42 @@
+		      {
 		        return _arc_it;
+		      }
 		      /// Conversion to \c Edge
 		      /// Conversion to \c Edge.
 		      ///
 		      operator typename Graph::Edge() const
+		      {
 		        return _arc_it;
+		      }
 		      bool operator==(Invalid) { return _node_it==INVALID; }
 		      bool operator!=(Invalid) { return _node_it!=INVALID; }
 		      /// Next edge
 		      /// Next edge.
 		      ///
 		      MinCutEdgeIt &operator++()
+		      {
 		        step();
 		        while(_arc_it!=INVALID && _cut[_graph.target(_arc_it)]) step();
 		        return *this;
+		      }
 		      /// Postfix incrementation
 		      /// Postfix incrementation.
 		      ///
 		      /// \warning This incrementation
 		      /// returns an \c Arc, not a \c MinCutEdgeIt, as one may expect.
 		      typename Graph::Arc operator++(int)
+		      {
 		        typename Graph::Arc e=*this;
 		        ++(*this);
 		        return e;
+		      }
 		    };
 		  };
+		}
 		#endif

lemon/graph_to_eps.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_GRAPH_TO_EPS_H
 		#define LEMON_GRAPH_TO_EPS_H
 		#include<iostream>
 		#include<fstream>
 		#include<sstream>
 		#include<algorithm>
 		#include<vector>
 		#ifndef WIN32
 		#include<sys/time.h>

lemon/hao_orlin.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_HAO_ORLIN_H
 		#define LEMON_HAO_ORLIN_H
 		#include <vector>
 		#include <list>
 		#include <limits>
 		#include <lemon/maps.h>
 		#include <lemon/core.h>
 		#include <lemon/tolerance.h>
 		/// \file
 		/// \ingroup min_cut
 		/// \brief Implementation of the Hao-Orlin algorithm.
 		///
-		/// Implementation of the Hao-Orlin algorithm for finding a minimum cut
 		/// Implementation of the Hao-Orlin algorithm for finding a minimum cut
 		/// in a digraph.
 		namespace lemon {
 		  /// \ingroup min_cut
 		  ///
 		  /// \brief Hao-Orlin algorithm for finding a minimum cut in a digraph.
 		  ///
 		  /// This class implements the Hao-Orlin algorithm for finding a minimum
-		  /// value cut in a directed graph \f$D=(V,A)\f$.
 		  /// value cut in a directed graph \f$D=(V,A)\f$.
 		  /// It takes a fixed node \f$ source \in V \f$ and
 		  /// consists of two phases: in the first phase it determines a
 		  /// minimum cut with \f$ source \f$ on the source-side (i.e. a set
 		  /// \f$ X\subsetneq V \f$ with \f$ source \in X \f$ and minimal outgoing
 		  /// capacity) and in the second phase it determines a minimum cut
 		  /// with \f$ source \f$ on the sink-side (i.e. a set
 		  /// \f$ X\subsetneq V \f$ with \f$ source \notin X \f$ and minimal outgoing
 		  /// capacity). Obviously, the smaller of these two cuts will be a
 		  /// minimum cut of \f$ D \f$. The algorithm is a modified
 		  /// preflow push-relabel algorithm. Our implementation calculates
 		  /// the minimum cut in \f$ O(n^2\sqrt{m}) \f$ time (we use the
 		  /// highest-label rule), or in \f$O(nm)\f$ for unit capacities. The
 		  /// purpose of such algorithm is e.g. testing network reliability.
 		  ///
 		  /// For an undirected graph you can run just the first phase of the
 		  /// algorithm or you can use the algorithm of Nagamochi and Ibaraki,
-		  /// which solves the undirected problem in \f$ O(nm + n^2 \log n) \f$
 		  /// which solves the undirected problem in \f$ O(nm + n^2 \log n) \f$
 		  /// time. It is implemented in the NagamochiIbaraki algorithm class.
 		  ///
 		  /// \tparam GR The type of the digraph the algorithm runs on.
 		  /// \tparam CAP The type of the arc map containing the capacities,
 		  /// which can be any numreric type. The default map type is
 		  /// \ref concepts::Digraph::ArcMap "GR::ArcMap<int>".
 		  /// \tparam TOL Tolerance class for handling inexact computations. The
 		  /// default tolerance type is \ref Tolerance "Tolerance<CAP::Value>".
 		#ifdef DOXYGEN
 		  template <typename GR, typename CAP, typename TOL>
 		#else
 		  template <typename GR,
 		            typename CAP = typename GR::template ArcMap<int>,
 		            typename TOL = Tolerance<typename CAP::Value> >
 		#endif
 		  class HaoOrlin {
 		  public:
 		    /// The digraph type of the algorithm
 		    typedef GR Digraph;
 		    /// The capacity map type of the algorithm
 		    typedef CAP CapacityMap;
 		    /// The tolerance type of the algorithm
 		    typedef TOL Tolerance;
 		  private:
 		    typedef typename CapacityMap::Value Value;
 		    TEMPLATE_DIGRAPH_TYPEDEFS(Digraph);
 		    const Digraph& _graph;
 		    const CapacityMap* _capacity;
 		    typedef typename Digraph::template ArcMap<Value> FlowMap;
 		    FlowMap* _flow;
 		    Node _source;
 		    int _node_num;
 		    // Bucketing structure
@@ -843,49 +843,49 @@
 		    /// \name Execution Control
 		    /// The simplest way to execute the algorithm is to use
 		    /// one of the member functions called \ref run().
 		    /// \n
 		    /// If you need better control on the execution,
 		    /// you have to call one of the \ref init() functions first, then
 		    /// \ref calculateOut() and/or \ref calculateIn().
 		    /// @{
 		    /// \brief Initialize the internal data structures.
 		    ///
 		    /// This function initializes the internal data structures. It creates
 		    /// the maps and some bucket structures for the algorithm.
 		    /// The first node is used as the source node for the push-relabel
 		    /// algorithm.
 		    void init() {
 		      init(NodeIt(_graph));
+		    }
 		    /// \brief Initialize the internal data structures.
 		    ///
 		    /// This function initializes the internal data structures. It creates
-		    /// the maps and some bucket structures for the algorithm.
 		    /// the maps and some bucket structures for the algorithm.
 		    /// The given node is used as the source node for the push-relabel
 		    /// algorithm.
 		    void init(const Node& source) {
 		      _source = source;
 		      _node_num = countNodes(_graph);
 		      _first.resize(_node_num);
 		      _last.resize(_node_num);
 		      _dormant.resize(_node_num);
 		      if (!_flow) {
 		        _flow = new FlowMap(_graph);
+		      }
 		      if (!_next) {
 		        _next = new typename Digraph::template NodeMap<Node>(_graph);
+		      }
 		      if (!_prev) {
 		        _prev = new typename Digraph::template NodeMap<Node>(_graph);
+		      }
 		      if (!_active) {
 		        _active = new typename Digraph::template NodeMap<bool>(_graph);
+		      }
@@ -923,83 +923,83 @@
 		    ///
 		    /// This function calculates a minimum cut with \f$ source \f$ on the
 		    /// sink-side (i.e. a set \f$ X\subsetneq V \f$ with
 		    /// \f$ source \notin X \f$ and minimal outgoing capacity).
 		    ///
 		    /// \pre \ref init() must be called before using this function.
 		    void calculateIn() {
 		      findMinCutIn();
+		    }
 		    /// \brief Run the algorithm.
 		    ///
 		    /// This function runs the algorithm. It finds nodes \c source and
 		    /// \c target arbitrarily and then calls \ref init(), \ref calculateOut()
 		    /// and \ref calculateIn().
 		    void run() {
 		      init();
 		      calculateOut();
 		      calculateIn();
+		    }
 		    /// \brief Run the algorithm.
 		    ///
-		    /// This function runs the algorithm. It uses the given \c source node,
 		    /// This function runs the algorithm. It uses the given \c source node,
 		    /// finds a proper \c target node and then calls the \ref init(),
 		    /// \ref calculateOut() and \ref calculateIn().
 		    void run(const Node& s) {
 		      init(s);
 		      calculateOut();
 		      calculateIn();
+		    }
 		    /// @}
 		    /// \name Query Functions
 		    /// The result of the %HaoOrlin algorithm
 		    /// can be obtained using these functions.\n
-		    /// \ref run(), \ref calculateOut() or \ref calculateIn()
 		    /// \ref run(), \ref calculateOut() or \ref calculateIn()
 		    /// should be called before using them.
 		    /// @{
 		    /// \brief Return the value of the minimum cut.
 		    ///
 		    /// This function returns the value of the minimum cut.
 		    ///
-		    /// \pre \ref run(), \ref calculateOut() or \ref calculateIn()
 		    /// \pre \ref run(), \ref calculateOut() or \ref calculateIn()
 		    /// must be called before using this function.
 		    Value minCutValue() const {
 		      return _min_cut;
+		    }
 		    /// \brief Return a minimum cut.
 		    ///
 		    /// This function sets \c cutMap to the characteristic vector of a
 		    /// minimum value cut: it will give a non-empty set \f$ X\subsetneq V \f$
 		    /// with minimal outgoing capacity (i.e. \c cutMap will be \c true exactly
 		    /// for the nodes of \f$ X \f$).
 		    ///
 		    /// \param cutMap A \ref concepts::WriteMap "writable" node map with
 		    /// \c bool (or convertible) value type.
 		    ///
 		    /// \return The value of the minimum cut.
 		    ///
-		    /// \pre \ref run(), \ref calculateOut() or \ref calculateIn()
 		    /// \pre \ref run(), \ref calculateOut() or \ref calculateIn()
 		    /// must be called before using this function.
 		    template <typename CutMap>
 		    Value minCutMap(CutMap& cutMap) const {
 		      for (NodeIt it(_graph); it != INVALID; ++it) {
 		        cutMap.set(it, (*_min_cut_map)[it]);
+		      }
 		      return _min_cut;
+		    }
 		    /// @}
 		  }; //class HaoOrlin
 		} //namespace lemon
 		#endif //LEMON_HAO_ORLIN_H

lemon/hartmann_orlin_mmc.h

Show inline comments

 		/* -*- C++ -*-
+		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library
+		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2008
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_HARTMANN_ORLIN_MMC_H
 		#define LEMON_HARTMANN_ORLIN_MMC_H
 		/// \ingroup min_mean_cycle
 		///
 		/// \file
 		/// \brief Hartmann-Orlin's algorithm for finding a minimum mean cycle.
 		#include <vector>
 		#include <limits>
 		#include <lemon/core.h>
@@ -322,56 +322,56 @@
 		    /// This function runs the algorithm.
 		    /// It can be called more than once (e.g. if the underlying digraph
 		    /// and/or the arc costs have been modified).
 		    ///
 		    /// \return \c true if a directed cycle exists in the digraph.
 		    ///
 		    /// \note <tt>mmc.run()</tt> is just a shortcut of the following code.
 		    /// \code
 		    ///   return mmc.findCycleMean() && mmc.findCycle();
 		    /// \endcode
 		    bool run() {
 		      return findCycleMean() && findCycle();
+		    }
 		    /// \brief Find the minimum cycle mean.
 		    ///
 		    /// This function finds the minimum mean cost of the directed
 		    /// cycles in the digraph.
 		    ///
 		    /// \return \c true if a directed cycle exists in the digraph.
 		    bool findCycleMean() {
 		      // Initialization and find strongly connected components
 		      init();
 		      findComponents();
 		      // Find the minimum cycle mean in the components
 		      for (int comp = 0; comp < _comp_num; ++comp) {
 		        if (!initComponent(comp)) continue;
 		        processRounds();
 		        // Update the best cycle (global minimum mean cycle)
-		        if ( _curr_found && (!_best_found ||
 		        if ( _curr_found && (!_best_found ||
 		             _curr_cost * _best_size < _best_cost * _curr_size) ) {
 		          _best_found = true;
 		          _best_cost = _curr_cost;
 		          _best_size = _curr_size;
 		          _best_node = _curr_node;
 		          _best_level = _curr_level;
+		        }
+		      }
 		      return _best_found;
+		    }
 		    /// \brief Find a minimum mean directed cycle.
 		    ///
 		    /// This function finds a directed cycle of minimum mean cost
 		    /// in the digraph using the data computed by findCycleMean().
 		    ///
 		    /// \return \c true if a directed cycle exists in the digraph.
 		    ///
 		    /// \pre \ref findCycleMean() must be called before using this function.
 		    bool findCycle() {
 		      if (!_best_found) return false;
 		      IntNodeMap reached(_gr, -1);
 		      int r = _best_level + 1;
 		      Node u = _best_node;
@@ -482,49 +482,49 @@
 		          for (OutArcIt a(_gr, n); a != INVALID; ++a) {
 		            _out_arcs[n].push_back(a);
+		          }
+		        }
 		      } else {
 		        for (int i = 0; i < _comp_num; ++i)
 		          _comp_nodes[i].clear();
 		        for (NodeIt n(_gr); n != INVALID; ++n) {
 		          int k = _comp[n];
 		          _comp_nodes[k].push_back(n);
 		          _out_arcs[n].clear();
 		          for (OutArcIt a(_gr, n); a != INVALID; ++a) {
 		            if (_comp[_gr.target(a)] == k) _out_arcs[n].push_back(a);
+		          }
+		        }
+		      }
+		    }
 		    // Initialize path data for the current component
 		    bool initComponent(int comp) {
 		      _nodes = &(_comp_nodes[comp]);
 		      int n = _nodes->size();
 		      if (n < 1 || (n == 1 && _out_arcs[(*_nodes)[0]].size() == 0)) {
 		        return false;
+		      }
+		      }
 		      for (int i = 0; i < n; ++i) {
 		        _data[(*_nodes)[i]].resize(n + 1, PathData(INF));
+		      }
 		      return true;
+		    }
 		    // Process all rounds of computing path data for the current component.
 		    // _data[v][k] is the cost of a shortest directed walk from the root
 		    // node to node v containing exactly k arcs.
 		    void processRounds() {
 		      Node start = (*_nodes)[0];
 		      _data[start][0] = PathData(0);
 		      _process.clear();
 		      _process.push_back(start);
 		      int k, n = _nodes->size();
 		      int next_check = 4;
 		      bool terminate = false;
 		      for (k = 1; k <= n && int(_process.size()) < n && !terminate; ++k) {
 		        processNextBuildRound(k);
 		        if (k == next_check || k == n) {
 		          terminate = checkTermination(k);
 		          next_check = next_check * 3 / 2;
+		        }
@@ -555,81 +555,81 @@
 		            _data[v][k] = PathData(d, e);
+		          }
+		        }
+		      }
 		      _process.swap(next);
+		    }
 		    // Process one round using _nodes instead of _process
 		    void processNextFullRound(int k) {
 		      Node u, v;
 		      Arc e;
 		      LargeCost d;
 		      for (int i = 0; i < int(_nodes->size()); ++i) {
 		        u = (*_nodes)[i];
 		        for (int j = 0; j < int(_out_arcs[u].size()); ++j) {
 		          e = _out_arcs[u][j];
 		          v = _gr.target(e);
 		          d = _data[u][k-1].dist + _cost[e];
 		          if (_tolerance.less(d, _data[v][k].dist)) {
 		            _data[v][k] = PathData(d, e);
+		          }
+		        }
+		      }
+		    }
 		    // Check early termination
 		    bool checkTermination(int k) {
 		      typedef std::pair<int, int> Pair;
 		      typename GR::template NodeMap<Pair> level(_gr, Pair(-1, 0));
 		      typename GR::template NodeMap<LargeCost> pi(_gr);
 		      int n = _nodes->size();
 		      LargeCost cost;
 		      int size;
 		      Node u;
 		      // Search for cycles that are already found
 		      _curr_found = false;
 		      for (int i = 0; i < n; ++i) {
 		        u = (*_nodes)[i];
 		        if (_data[u][k].dist == INF) continue;
 		        for (int j = k; j >= 0; --j) {
 		          if (level[u].first == i && level[u].second > 0) {
 		            // A cycle is found
 		            cost = _data[u][level[u].second].dist - _data[u][j].dist;
 		            size = level[u].second - j;
 		            if (!_curr_found || cost * _curr_size < _curr_cost * size) {
 		              _curr_cost = cost;
 		              _curr_size = size;
 		              _curr_node = u;
 		              _curr_level = level[u].second;
 		              _curr_found = true;
+		            }
+		          }
 		          level[u] = Pair(i, j);
 		          if (j != 0) {
 			    u = _gr.source(_data[u][j].pred);
+			  }
 		            u = _gr.source(_data[u][j].pred);
+		          }
+		        }
+		      }
 		      // If at least one cycle is found, check the optimality condition
 		      LargeCost d;
 		      if (_curr_found && k < n) {
 		        // Find node potentials
 		        for (int i = 0; i < n; ++i) {
 		          u = (*_nodes)[i];
 		          pi[u] = INF;
 		          for (int j = 0; j <= k; ++j) {
 		            if (_data[u][j].dist < INF) {
 		              d = _data[u][j].dist * _curr_size - j * _curr_cost;
 		              if (_tolerance.less(d, pi[u])) pi[u] = d;
+		            }
+		          }
+		        }
 		        // Check the optimality condition for all arcs
 		        bool done = true;
 		        for (ArcIt a(_gr); a != INVALID; ++a) {
 		          if (_tolerance.less(_cost[a] * _curr_size - _curr_cost,
 		                              pi[_gr.target(a)] - pi[_gr.source(a)]) ) {
 		            done = false;

lemon/howard_mmc.h

Show inline comments

 		/* -*- C++ -*-
+		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library
+		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2008
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_HOWARD_MMC_H
 		#define LEMON_HOWARD_MMC_H
 		/// \ingroup min_mean_cycle
 		///
 		/// \file
 		/// \brief Howard's algorithm for finding a minimum mean cycle.
 		#include <vector>
 		#include <limits>
 		#include <lemon/core.h>
@@ -100,156 +100,156 @@
 		  /// a directed cycle of minimum mean cost in a digraph
 		  /// \ref amo93networkflows, \ref dasdan98minmeancycle.
 		  /// This class provides the most efficient algorithm for the
 		  /// minimum mean cycle problem, though the best known theoretical
 		  /// bound on its running time is exponential.
 		  ///
 		  /// \tparam GR The type of the digraph the algorithm runs on.
 		  /// \tparam CM The type of the cost map. The default
 		  /// map type is \ref concepts::Digraph::ArcMap "GR::ArcMap<int>".
 		  /// \tparam TR The traits class that defines various types used by the
 		  /// algorithm. By default, it is \ref HowardMmcDefaultTraits
 		  /// "HowardMmcDefaultTraits<GR, CM>".
 		  /// In most cases, this parameter should not be set directly,
 		  /// consider to use the named template parameters instead.
 		#ifdef DOXYGEN
 		  template <typename GR, typename CM, typename TR>
 		#else
 		  template < typename GR,
 		             typename CM = typename GR::template ArcMap<int>,
 		             typename TR = HowardMmcDefaultTraits<GR, CM> >
 		#endif
 		  class HowardMmc
+		  {
 		  public:
 		    /// The type of the digraph
 		    typedef typename TR::Digraph Digraph;
 		    /// The type of the cost map
 		    typedef typename TR::CostMap CostMap;
 		    /// The type of the arc costs
 		    typedef typename TR::Cost Cost;
 		    /// \brief The large cost type
 		    ///
 		    /// The large cost type used for internal computations.
 		    /// By default, it is \c long \c long if the \c Cost type is integer,
 		    /// otherwise it is \c double.
 		    typedef typename TR::LargeCost LargeCost;
 		    /// The tolerance type
 		    typedef typename TR::Tolerance Tolerance;
 		    /// \brief The path type of the found cycles
 		    ///
 		    /// The path type of the found cycles.
 		    /// Using the \ref HowardMmcDefaultTraits "default traits class",
 		    /// it is \ref lemon::Path "Path<Digraph>".
 		    typedef typename TR::Path Path;
 		    /// The \ref HowardMmcDefaultTraits "traits class" of the algorithm
 		    typedef TR Traits;
 		  private:
 		    TEMPLATE_DIGRAPH_TYPEDEFS(Digraph);
 		    // The digraph the algorithm runs on
 		    const Digraph &_gr;
 		    // The cost of the arcs
 		    const CostMap &_cost;
 		    // Data for the found cycles
 		    bool _curr_found, _best_found;
 		    LargeCost _curr_cost, _best_cost;
 		    int _curr_size, _best_size;
 		    Node _curr_node, _best_node;
 		    Path *_cycle_path;
 		    bool _local_path;
 		    // Internal data used by the algorithm
 		    typename Digraph::template NodeMap<Arc> _policy;
 		    typename Digraph::template NodeMap<bool> _reached;
 		    typename Digraph::template NodeMap<int> _level;
 		    typename Digraph::template NodeMap<LargeCost> _dist;
 		    // Data for storing the strongly connected components
 		    int _comp_num;
 		    typename Digraph::template NodeMap<int> _comp;
 		    std::vector<std::vector<Node> > _comp_nodes;
 		    std::vector<Node>* _nodes;
 		    typename Digraph::template NodeMap<std::vector<Arc> > _in_arcs;
 		    // Queue used for BFS search
 		    std::vector<Node> _queue;
 		    int _qfront, _qback;
 		    Tolerance _tolerance;
 		    // Infinite constant
 		    const LargeCost INF;
 		  public:
 		    /// \name Named Template Parameters
 		    /// @{
 		    template <typename T>
 		    struct SetLargeCostTraits : public Traits {
 		      typedef T LargeCost;
 		      typedef lemon::Tolerance<T> Tolerance;
 		    };
 		    /// \brief \ref named-templ-param "Named parameter" for setting
 		    /// \c LargeCost type.
 		    ///
 		    /// \ref named-templ-param "Named parameter" for setting \c LargeCost
 		    /// type. It is used for internal computations in the algorithm.
 		    template <typename T>
 		    struct SetLargeCost
 		      : public HowardMmc<GR, CM, SetLargeCostTraits<T> > {
 		      typedef HowardMmc<GR, CM, SetLargeCostTraits<T> > Create;
 		    };
 		    template <typename T>
 		    struct SetPathTraits : public Traits {
 		      typedef T Path;
 		    };
 		    /// \brief \ref named-templ-param "Named parameter" for setting
 		    /// \c %Path type.
 		    ///
 		    /// \ref named-templ-param "Named parameter" for setting the \c %Path
 		    /// type of the found cycles.
 		    /// It must conform to the \ref lemon::concepts::Path "Path" concept
 		    /// and it must have an \c addBack() function.
 		    template <typename T>
 		    struct SetPath
 		      : public HowardMmc<GR, CM, SetPathTraits<T> > {
 		      typedef HowardMmc<GR, CM, SetPathTraits<T> > Create;
 		    };
 		    /// @}
 		  protected:
 		    HowardMmc() {}
 		  public:
 		    /// \brief Constructor.
 		    ///
 		    /// The constructor of the class.
 		    ///
 		    /// \param digraph The digraph the algorithm runs on.
 		    /// \param cost The costs of the arcs.
 		    HowardMmc( const Digraph &digraph,
 		               const CostMap &cost ) :
 		      _gr(digraph), _cost(cost), _best_found(false),
 		      _best_cost(0), _best_size(1), _cycle_path(NULL), _local_path(false),
 		      _policy(digraph), _reached(digraph), _level(digraph), _dist(digraph),
 		      _comp(digraph), _in_arcs(digraph),
 		      INF(std::numeric_limits<LargeCost>::has_infinity ?
 		          std::numeric_limits<LargeCost>::infinity() :
 		          std::numeric_limits<LargeCost>::max())
 		    {}
@@ -313,49 +313,49 @@
 		    /// This function runs the algorithm.
 		    /// It can be called more than once (e.g. if the underlying digraph
 		    /// and/or the arc costs have been modified).
 		    ///
 		    /// \return \c true if a directed cycle exists in the digraph.
 		    ///
 		    /// \note <tt>mmc.run()</tt> is just a shortcut of the following code.
 		    /// \code
 		    ///   return mmc.findCycleMean() && mmc.findCycle();
 		    /// \endcode
 		    bool run() {
 		      return findCycleMean() && findCycle();
+		    }
 		    /// \brief Find the minimum cycle mean.
 		    ///
 		    /// This function finds the minimum mean cost of the directed
 		    /// cycles in the digraph.
 		    ///
 		    /// \return \c true if a directed cycle exists in the digraph.
 		    bool findCycleMean() {
 		      // Initialize and find strongly connected components
 		      init();
 		      findComponents();
 		      // Find the minimum cycle mean in the components
 		      for (int comp = 0; comp < _comp_num; ++comp) {
 		        // Find the minimum mean cycle in the current component
 		        if (!buildPolicyGraph(comp)) continue;
 		        while (true) {
 		          findPolicyCycle();
 		          if (!computeNodeDistances()) break;
+		        }
 		        // Update the best cycle (global minimum mean cycle)
 		        if ( _curr_found && (!_best_found ||
 		             _curr_cost * _best_size < _best_cost * _curr_size) ) {
 		          _best_found = true;
 		          _best_cost = _curr_cost;
 		          _best_size = _curr_size;
 		          _best_node = _curr_node;
+		        }
+		      }
 		      return _best_found;
+		    }
 		    /// \brief Find a minimum mean directed cycle.
 		    ///
 		    /// This function finds a directed cycle of minimum mean cost
 		    /// in the digraph using the data computed by findCycleMean().
@@ -424,49 +424,49 @@
 		    /// storing the found cycle.
 		    ///
 		    /// \pre \ref run() or \ref findCycle() must be called before using
 		    /// this function.
 		    const Path& cycle() const {
 		      return *_cycle_path;
+		    }
 		    ///@}
 		  private:
 		    // Initialize
 		    void init() {
 		      if (!_cycle_path) {
 		        _local_path = true;
 		        _cycle_path = new Path;
+		      }
 		      _queue.resize(countNodes(_gr));
 		      _best_found = false;
 		      _best_cost = 0;
 		      _best_size = 1;
 		      _cycle_path->clear();
+		    }
 		    // Find strongly connected components and initialize _comp_nodes
 		    // and _in_arcs
 		    void findComponents() {
 		      _comp_num = stronglyConnectedComponents(_gr, _comp);
 		      _comp_nodes.resize(_comp_num);
 		      if (_comp_num == 1) {
 		        _comp_nodes[0].clear();
 		        for (NodeIt n(_gr); n != INVALID; ++n) {
 		          _comp_nodes[0].push_back(n);
 		          _in_arcs[n].clear();
 		          for (InArcIt a(_gr, n); a != INVALID; ++a) {
 		            _in_arcs[n].push_back(a);
+		          }
+		        }
 		      } else {
 		        for (int i = 0; i < _comp_num; ++i)
 		          _comp_nodes[i].clear();
 		        for (NodeIt n(_gr); n != INVALID; ++n) {
 		          int k = _comp[n];
 		          _comp_nodes[k].push_back(n);
 		          _in_arcs[n].clear();
 		          for (InArcIt a(_gr, n); a != INVALID; ++a) {
 		            if (_comp[_gr.source(a)] == k) _in_arcs[n].push_back(a);
+		          }

lemon/karp_mmc.h

Show inline comments

 		/* -*- C++ -*-
+		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library
+		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2008
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_KARP_MMC_H
 		#define LEMON_KARP_MMC_H
 		/// \ingroup min_mean_cycle
 		///
 		/// \file
 		/// \brief Karp's algorithm for finding a minimum mean cycle.
 		#include <vector>
 		#include <limits>
 		#include <lemon/core.h>
@@ -170,49 +170,49 @@
 		    // The cost of the arcs
 		    const CostMap &_cost;
 		    // Data for storing the strongly connected components
 		    int _comp_num;
 		    typename Digraph::template NodeMap<int> _comp;
 		    std::vector<std::vector<Node> > _comp_nodes;
 		    std::vector<Node>* _nodes;
 		    typename Digraph::template NodeMap<std::vector<Arc> > _out_arcs;
 		    // Data for the found cycle
 		    LargeCost _cycle_cost;
 		    int _cycle_size;
 		    Node _cycle_node;
 		    Path *_cycle_path;
 		    bool _local_path;
 		    // Node map for storing path data
 		    PathDataNodeMap _data;
 		    // The processed nodes in the last round
 		    std::vector<Node> _process;
 		    Tolerance _tolerance;
 		    // Infinite constant
 		    const LargeCost INF;
 		  public:
 		    /// \name Named Template Parameters
 		    /// @{
 		    template <typename T>
 		    struct SetLargeCostTraits : public Traits {
 		      typedef T LargeCost;
 		      typedef lemon::Tolerance<T> Tolerance;
 		    };
 		    /// \brief \ref named-templ-param "Named parameter" for setting
 		    /// \c LargeCost type.
 		    ///
 		    /// \ref named-templ-param "Named parameter" for setting \c LargeCost
 		    /// type. It is used for internal computations in the algorithm.
 		    template <typename T>
 		    struct SetLargeCost
 		      : public KarpMmc<GR, CM, SetLargeCostTraits<T> > {
 		      typedef KarpMmc<GR, CM, SetLargeCostTraits<T> > Create;
 		    };
@@ -318,49 +318,49 @@
 		    /// This function runs the algorithm.
 		    /// It can be called more than once (e.g. if the underlying digraph
 		    /// and/or the arc costs have been modified).
 		    ///
 		    /// \return \c true if a directed cycle exists in the digraph.
 		    ///
 		    /// \note <tt>mmc.run()</tt> is just a shortcut of the following code.
 		    /// \code
 		    ///   return mmc.findCycleMean() && mmc.findCycle();
 		    /// \endcode
 		    bool run() {
 		      return findCycleMean() && findCycle();
+		    }
 		    /// \brief Find the minimum cycle mean.
 		    ///
 		    /// This function finds the minimum mean cost of the directed
 		    /// cycles in the digraph.
 		    ///
 		    /// \return \c true if a directed cycle exists in the digraph.
 		    bool findCycleMean() {
 		      // Initialization and find strongly connected components
 		      init();
 		      findComponents();
 		      // Find the minimum cycle mean in the components
 		      for (int comp = 0; comp < _comp_num; ++comp) {
 		        if (!initComponent(comp)) continue;
 		        processRounds();
 		        updateMinMean();
+		      }
 		      return (_cycle_node != INVALID);
+		    }
 		    /// \brief Find a minimum mean directed cycle.
 		    ///
 		    /// This function finds a directed cycle of minimum mean cost
 		    /// in the digraph using the data computed by findCycleMean().
 		    ///
 		    /// \return \c true if a directed cycle exists in the digraph.
 		    ///
 		    /// \pre \ref findCycleMean() must be called before using this function.
 		    bool findCycle() {
 		      if (_cycle_node == INVALID) return false;
 		      IntNodeMap reached(_gr, -1);
 		      int r = _data[_cycle_node].size();
 		      Node u = _cycle_node;
 		      while (reached[u] < 0) {
 		        reached[u] = --r;
@@ -468,49 +468,49 @@
 		          for (OutArcIt a(_gr, n); a != INVALID; ++a) {
 		            _out_arcs[n].push_back(a);
+		          }
+		        }
 		      } else {
 		        for (int i = 0; i < _comp_num; ++i)
 		          _comp_nodes[i].clear();
 		        for (NodeIt n(_gr); n != INVALID; ++n) {
 		          int k = _comp[n];
 		          _comp_nodes[k].push_back(n);
 		          _out_arcs[n].clear();
 		          for (OutArcIt a(_gr, n); a != INVALID; ++a) {
 		            if (_comp[_gr.target(a)] == k) _out_arcs[n].push_back(a);
+		          }
+		        }
+		      }
+		    }
 		    // Initialize path data for the current component
 		    bool initComponent(int comp) {
 		      _nodes = &(_comp_nodes[comp]);
 		      int n = _nodes->size();
 		      if (n < 1 || (n == 1 && _out_arcs[(*_nodes)[0]].size() == 0)) {
 		        return false;
+		      }
+		      }
 		      for (int i = 0; i < n; ++i) {
 		        _data[(*_nodes)[i]].resize(n + 1, PathData(INF));
+		      }
 		      return true;
+		    }
 		    // Process all rounds of computing path data for the current component.
 		    // _data[v][k] is the cost of a shortest directed walk from the root
 		    // node to node v containing exactly k arcs.
 		    void processRounds() {
 		      Node start = (*_nodes)[0];
 		      _data[start][0] = PathData(0);
 		      _process.clear();
 		      _process.push_back(start);
 		      int k, n = _nodes->size();
 		      for (k = 1; k <= n && int(_process.size()) < n; ++k) {
 		        processNextBuildRound(k);
+		      }
 		      for ( ; k <= n; ++k) {
 		        processNextFullRound(k);
+		      }
+		    }

lemon/lgf_reader.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		///\ingroup lemon_io
 		///\file
 		///\brief \ref lgf-format "LEMON Graph Format" reader.
 		#ifndef LEMON_LGF_READER_H
 		#define LEMON_LGF_READER_H
 		#include <iostream>
 		#include <fstream>
 		#include <sstream>
@@ -541,49 +541,49 @@
 		        delete it->second;
+		      }
 		      for (typename ArcMaps::iterator it = _arc_maps.begin();
 		           it != _arc_maps.end(); ++it) {
 		        delete it->second;
+		      }
 		      for (typename Attributes::iterator it = _attributes.begin();
 		           it != _attributes.end(); ++it) {
 		        delete it->second;
+		      }
 		      if (local_is) {
 		        delete _is;
+		      }
+		    }
 		  private:
 		    template <typename TDGR>
 		    friend DigraphReader<TDGR> digraphReader(TDGR& digraph, std::istream& is);
 		    template <typename TDGR>
-		    friend DigraphReader<TDGR> digraphReader(TDGR& digraph,
 		    friend DigraphReader<TDGR> digraphReader(TDGR& digraph,
 		                                             const std::string& fn);
 		    template <typename TDGR>
 		    friend DigraphReader<TDGR> digraphReader(TDGR& digraph, const char *fn);
 		    DigraphReader(DigraphReader& other)
 		      : _is(other._is), local_is(other.local_is), _digraph(other._digraph),
 		        _use_nodes(other._use_nodes), _use_arcs(other._use_arcs),
 		        _skip_nodes(other._skip_nodes), _skip_arcs(other._skip_arcs) {
 		      other._is = 0;
 		      other.local_is = false;
 		      _node_index.swap(other._node_index);
 		      _arc_index.swap(other._arc_index);
 		      _node_maps.swap(other._node_maps);
 		      _arc_maps.swap(other._arc_maps);
 		      _attributes.swap(other._attributes);
 		      _nodes_caption = other._nodes_caption;
 		      _arcs_caption = other._arcs_caption;
 		      _attributes_caption = other._attributes_caption;
+		    }
@@ -1166,56 +1166,56 @@
 		        } catch (FormatError& error) {
 		          error.line(line_num);
 		          error.file(_filename);
 		          throw;
+		        }
+		      }
 		      if (!nodes_done) {
 		        throw FormatError("Section @nodes not found");
+		      }
 		      if (!arcs_done) {
 		        throw FormatError("Section @arcs not found");
+		      }
 		      if (!attributes_done && !_attributes.empty()) {
 		        throw FormatError("Section @attributes not found");
+		      }
+		    }
 		    /// @}
 		  };
 		  /// \ingroup lemon_io
 		  ///
 		  /// \brief Return a \ref DigraphReader class
 		  ///
 		  /// This function just returns a \ref DigraphReader class.
 		  ///
-		  /// With this function a digraph can be read from an
 		  /// With this function a digraph can be read from an
 		  /// \ref lgf-format "LGF" file or input stream with several maps and
 		  /// attributes. For example, there is network flow problem on a
 		  /// digraph, i.e. a digraph with a \e capacity map on the arcs and
 		  /// \e source and \e target nodes. This digraph can be read with the
 		  /// following code:
 		  ///
 		  ///\code
 		  ///ListDigraph digraph;
 		  ///ListDigraph::ArcMap<int> cm(digraph);
 		  ///ListDigraph::Node src, trg;
 		  ///digraphReader(digraph, std::cin).
 		  ///  arcMap("capacity", cap).
 		  ///  node("source", src).
 		  ///  node("target", trg).
 		  ///  run();
 		  ///\endcode
 		  ///
 		  /// For a complete documentation, please see the \ref DigraphReader
 		  /// class documentation.
 		  /// \warning Don't forget to put the \ref DigraphReader::run() "run()"
 		  /// to the end of the parameter list.
 		  /// \relates DigraphReader
 		  /// \sa digraphReader(TDGR& digraph, const std::string& fn)
 		  /// \sa digraphReader(TDGR& digraph, const char* fn)
@@ -1228,49 +1228,49 @@
 		  /// \brief Return a \ref DigraphReader class
 		  ///
 		  /// This function just returns a \ref DigraphReader class.
 		  /// \relates DigraphReader
 		  /// \sa digraphReader(TDGR& digraph, std::istream& is)
 		  template <typename TDGR>
 		  DigraphReader<TDGR> digraphReader(TDGR& digraph, const std::string& fn) {
 		    DigraphReader<TDGR> tmp(digraph, fn);
 		    return tmp;
+		  }
 		  /// \brief Return a \ref DigraphReader class
 		  ///
 		  /// This function just returns a \ref DigraphReader class.
 		  /// \relates DigraphReader
 		  /// \sa digraphReader(TDGR& digraph, std::istream& is)
 		  template <typename TDGR>
 		  DigraphReader<TDGR> digraphReader(TDGR& digraph, const char* fn) {
 		    DigraphReader<TDGR> tmp(digraph, fn);
 		    return tmp;
+		  }
 		  template <typename GR>
 		  class GraphReader;
 		  template <typename TGR>
 		  GraphReader<TGR> graphReader(TGR& graph, std::istream& is = std::cin);
 		  template <typename TGR>
 		  GraphReader<TGR> graphReader(TGR& graph, const std::string& fn);
 		  template <typename TGR>
 		  GraphReader<TGR> graphReader(TGR& graph, const char *fn);
 		  /// \ingroup lemon_io
 		  ///
 		  /// \brief \ref lgf-format "LGF" reader for undirected graphs
 		  ///
 		  /// This utility reads an \ref lgf-format "LGF" file.
 		  ///
 		  /// It can be used almost the same way as \c DigraphReader.
 		  /// The only difference is that this class can handle edges and
 		  /// edge maps as well as arcs and arc maps.
 		  ///
 		  /// The columns in the \c \@edges (or \c \@arcs) section are the
 		  /// edge maps. However, if there are two maps with the same name
 		  /// prefixed with \c '+' and \c '-', then these can be read into an
 		  /// arc map.  Similarly, an attribute can be read into an arc, if
 		  /// it's value is an edge label prefixed with \c '+' or \c '-'.
 		  template <typename GR>
 		  class GraphReader {
@@ -1365,49 +1365,49 @@
 		           it != _node_maps.end(); ++it) {
 		        delete it->second;
+		      }
 		      for (typename EdgeMaps::iterator it = _edge_maps.begin();
 		           it != _edge_maps.end(); ++it) {
 		        delete it->second;
+		      }
 		      for (typename Attributes::iterator it = _attributes.begin();
 		           it != _attributes.end(); ++it) {
 		        delete it->second;
+		      }
 		      if (local_is) {
 		        delete _is;
+		      }
+		    }
 		  private:
 		    template <typename TGR>
 		    friend GraphReader<TGR> graphReader(TGR& graph, std::istream& is);
 		    template <typename TGR>
-		    friend GraphReader<TGR> graphReader(TGR& graph, const std::string& fn);
 		    friend GraphReader<TGR> graphReader(TGR& graph, const std::string& fn);
 		    template <typename TGR>
 		    friend GraphReader<TGR> graphReader(TGR& graph, const char *fn);
 		    GraphReader(GraphReader& other)
 		      : _is(other._is), local_is(other.local_is), _graph(other._graph),
 		        _use_nodes(other._use_nodes), _use_edges(other._use_edges),
 		        _skip_nodes(other._skip_nodes), _skip_edges(other._skip_edges) {
 		      other._is = 0;
 		      other.local_is = false;
 		      _node_index.swap(other._node_index);
 		      _edge_index.swap(other._edge_index);
 		      _node_maps.swap(other._node_maps);
 		      _edge_maps.swap(other._edge_maps);
 		      _attributes.swap(other._attributes);
 		      _nodes_caption = other._nodes_caption;
 		      _edges_caption = other._edges_caption;
 		      _attributes_caption = other._attributes_caption;
+		    }
@@ -2042,51 +2042,51 @@
+		      }
 		      if (!nodes_done) {
 		        throw FormatError("Section @nodes not found");
+		      }
 		      if (!edges_done) {
 		        throw FormatError("Section @edges not found");
+		      }
 		      if (!attributes_done && !_attributes.empty()) {
 		        throw FormatError("Section @attributes not found");
+		      }
+		    }
 		    /// @}
 		  };
 		  /// \ingroup lemon_io
 		  ///
 		  /// \brief Return a \ref GraphReader class
 		  ///
-		  /// This function just returns a \ref GraphReader class.
 		  /// This function just returns a \ref GraphReader class.
 		  ///
-		  /// With this function a graph can be read from an
 		  /// With this function a graph can be read from an
 		  /// \ref lgf-format "LGF" file or input stream with several maps and
 		  /// attributes. For example, there is weighted matching problem on a
 		  /// graph, i.e. a graph with a \e weight map on the edges. This
 		  /// graph can be read with the following code:
 		  ///
 		  ///\code
 		  ///ListGraph graph;
 		  ///ListGraph::EdgeMap<int> weight(graph);
 		  ///graphReader(graph, std::cin).
 		  ///  edgeMap("weight", weight).
 		  ///  run();
 		  ///\endcode
 		  ///
 		  /// For a complete documentation, please see the \ref GraphReader
 		  /// class documentation.
 		  /// \warning Don't forget to put the \ref GraphReader::run() "run()"
 		  /// to the end of the parameter list.
 		  /// \relates GraphReader
 		  /// \sa graphReader(TGR& graph, const std::string& fn)
 		  /// \sa graphReader(TGR& graph, const char* fn)
 		  template <typename TGR>
 		  GraphReader<TGR> graphReader(TGR& graph, std::istream& is) {
 		    GraphReader<TGR> tmp(graph, is);
 		    return tmp;

lemon/lgf_writer.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		///\ingroup lemon_io
 		///\file
 		///\brief \ref lgf-format "LEMON Graph Format" writer.
 		#ifndef LEMON_LGF_WRITER_H
 		#define LEMON_LGF_WRITER_H
 		#include <iostream>
 		#include <fstream>
 		#include <sstream>
@@ -330,49 +330,49 @@
 		    };
 		    template <typename Functor>
 		    class StreamSection : public Section {
 		    private:
 		      Functor _functor;
 		    public:
 		      StreamSection(const Functor& functor) : _functor(functor) {}
 		      virtual ~StreamSection() {}
 		      virtual void process(std::ostream& os) {
 		        _functor(os);
+		      }
 		    };
+		  }
 		  template <typename DGR>
 		  class DigraphWriter;
 		  template <typename TDGR>
-		  DigraphWriter<TDGR> digraphWriter(const TDGR& digraph,
 		  DigraphWriter<TDGR> digraphWriter(const TDGR& digraph,
 		                                   std::ostream& os = std::cout);
 		  template <typename TDGR>
 		  DigraphWriter<TDGR> digraphWriter(const TDGR& digraph, const std::string& fn);
 		  template <typename TDGR>
 		  DigraphWriter<TDGR> digraphWriter(const TDGR& digraph, const char* fn);
 		  /// \ingroup lemon_io
 		  ///
 		  /// \brief \ref lgf-format "LGF" writer for directed graphs
 		  ///
 		  /// This utility writes an \ref lgf-format "LGF" file.
 		  ///
 		  /// The writing method does a batch processing. The user creates a
 		  /// writer object, then various writing rules can be added to the
 		  /// writer, and eventually the writing is executed with the \c run()
 		  /// member function. A map writing rule can be added to the writer
 		  /// with the \c nodeMap() or \c arcMap() members. An optional
 		  /// converter parameter can also be added as a standard functor
 		  /// converting from the value type of the map to \c std::string. If it
 		  /// is set, it will determine how the value type of the map is written to
 		  /// the output stream. If the functor is not set, then a default
 		  /// conversion will be used. The \c attribute(), \c node() and \c
@@ -483,49 +483,49 @@
 		    ~DigraphWriter() {
 		      for (typename NodeMaps::iterator it = _node_maps.begin();
 		           it != _node_maps.end(); ++it) {
 		        delete it->second;
+		      }
 		      for (typename ArcMaps::iterator it = _arc_maps.begin();
 		           it != _arc_maps.end(); ++it) {
 		        delete it->second;
+		      }
 		      for (typename Attributes::iterator it = _attributes.begin();
 		           it != _attributes.end(); ++it) {
 		        delete it->second;
+		      }
 		      if (local_os) {
 		        delete _os;
+		      }
+		    }
 		  private:
 		    template <typename TDGR>
-		    friend DigraphWriter<TDGR> digraphWriter(const TDGR& digraph,
 		    friend DigraphWriter<TDGR> digraphWriter(const TDGR& digraph,
 		                                             std::ostream& os);
 		    template <typename TDGR>
 		    friend DigraphWriter<TDGR> digraphWriter(const TDGR& digraph,
 		                                             const std::string& fn);
 		    template <typename TDGR>
 		    friend DigraphWriter<TDGR> digraphWriter(const TDGR& digraph,
 		                                             const char *fn);
 		    DigraphWriter(DigraphWriter& other)
 		      : _os(other._os), local_os(other.local_os), _digraph(other._digraph),
 		        _skip_nodes(other._skip_nodes), _skip_arcs(other._skip_arcs) {
 		      other._os = 0;
 		      other.local_os = false;
 		      _node_index.swap(other._node_index);
 		      _arc_index.swap(other._arc_index);
 		      _node_maps.swap(other._node_maps);
 		      _arc_maps.swap(other._arc_maps);
 		      _attributes.swap(other._attributes);
 		      _nodes_caption = other._nodes_caption;
 		      _arcs_caption = other._arcs_caption;
@@ -896,89 +896,89 @@
 		        createNodeIndex();
+		      }
 		      if (!_skip_arcs) {
 		        writeArcs();
 		      } else {
 		        createArcIndex();
+		      }
 		      writeAttributes();
+		    }
 		    /// \brief Give back the stream of the writer
 		    ///
 		    /// Give back the stream of the writer.
 		    std::ostream& ostream() {
 		      return *_os;
+		    }
 		    /// @}
 		  };
 		  /// \ingroup lemon_io
 		  ///
 		  /// \brief Return a \ref DigraphWriter class
 		  ///
-		  /// This function just returns a \ref DigraphWriter class.
 		  /// This function just returns a \ref DigraphWriter class.
 		  ///
 		  /// With this function a digraph can be write to a file or output
 		  /// stream in \ref lgf-format "LGF" format with several maps and
 		  /// attributes. For example, with the following code a network flow
 		  /// problem can be written to the standard output, i.e. a digraph
 		  /// with a \e capacity map on the arcs and \e source and \e target
 		  /// nodes:
 		  ///
 		  ///\code
 		  ///ListDigraph digraph;
 		  ///ListDigraph::ArcMap<int> cap(digraph);
 		  ///ListDigraph::Node src, trg;
 		  ///  // Setting the capacity map and source and target nodes
 		  ///digraphWriter(digraph, std::cout).
 		  ///  arcMap("capacity", cap).
 		  ///  node("source", src).
 		  ///  node("target", trg).
 		  ///  run();
 		  ///\endcode
 		  ///
 		  /// For a complete documentation, please see the \ref DigraphWriter
 		  /// class documentation.
 		  /// \warning Don't forget to put the \ref DigraphWriter::run() "run()"
 		  /// to the end of the parameter list.
 		  /// \relates DigraphWriter
 		  /// \sa digraphWriter(const TDGR& digraph, const std::string& fn)
 		  /// \sa digraphWriter(const TDGR& digraph, const char* fn)
 		  template <typename TDGR>
 		  DigraphWriter<TDGR> digraphWriter(const TDGR& digraph, std::ostream& os) {
 		    DigraphWriter<TDGR> tmp(digraph, os);
 		    return tmp;
+		  }
 		  /// \brief Return a \ref DigraphWriter class
 		  ///
 		  /// This function just returns a \ref DigraphWriter class.
 		  /// \relates DigraphWriter
 		  /// \sa digraphWriter(const TDGR& digraph, std::ostream& os)
 		  template <typename TDGR>
-		  DigraphWriter<TDGR> digraphWriter(const TDGR& digraph,
 		  DigraphWriter<TDGR> digraphWriter(const TDGR& digraph,
 		                                    const std::string& fn) {
 		    DigraphWriter<TDGR> tmp(digraph, fn);
 		    return tmp;
+		  }
 		  /// \brief Return a \ref DigraphWriter class
 		  ///
 		  /// This function just returns a \ref DigraphWriter class.
 		  /// \relates DigraphWriter
 		  /// \sa digraphWriter(const TDGR& digraph, std::ostream& os)
 		  template <typename TDGR>
 		  DigraphWriter<TDGR> digraphWriter(const TDGR& digraph, const char* fn) {
 		    DigraphWriter<TDGR> tmp(digraph, fn);
 		    return tmp;
+		  }
 		  template <typename GR>
 		  class GraphWriter;
 		  template <typename TGR>
 		  GraphWriter<TGR> graphWriter(const TGR& graph, std::ostream& os = std::cout);
 		  template <typename TGR>
 		  GraphWriter<TGR> graphWriter(const TGR& graph, const std::string& fn);
 		  template <typename TGR>
@@ -1080,53 +1080,53 @@
 		           it != _node_maps.end(); ++it) {
 		        delete it->second;
+		      }
 		      for (typename EdgeMaps::iterator it = _edge_maps.begin();
 		           it != _edge_maps.end(); ++it) {
 		        delete it->second;
+		      }
 		      for (typename Attributes::iterator it = _attributes.begin();
 		           it != _attributes.end(); ++it) {
 		        delete it->second;
+		      }
 		      if (local_os) {
 		        delete _os;
+		      }
+		    }
 		  private:
 		    template <typename TGR>
 		    friend GraphWriter<TGR> graphWriter(const TGR& graph, std::ostream& os);
 		    template <typename TGR>
-		    friend GraphWriter<TGR> graphWriter(const TGR& graph,
 		    friend GraphWriter<TGR> graphWriter(const TGR& graph,
 		                                        const std::string& fn);
 		    template <typename TGR>
 		    friend GraphWriter<TGR> graphWriter(const TGR& graph, const char *fn);
 		    GraphWriter(GraphWriter& other)
 		      : _os(other._os), local_os(other.local_os), _graph(other._graph),
 		        _skip_nodes(other._skip_nodes), _skip_edges(other._skip_edges) {
 		      other._os = 0;
 		      other.local_os = false;
 		      _node_index.swap(other._node_index);
 		      _edge_index.swap(other._edge_index);
 		      _node_maps.swap(other._node_maps);
 		      _edge_maps.swap(other._edge_maps);
 		      _attributes.swap(other._attributes);
 		      _nodes_caption = other._nodes_caption;
 		      _edges_caption = other._edges_caption;
 		      _attributes_caption = other._attributes_caption;
+		    }
 		    GraphWriter& operator=(const GraphWriter&);
 		  public:
 		    /// \name Writing Rules
@@ -1535,49 +1535,49 @@
 		        createNodeIndex();
+		      }
 		      if (!_skip_edges) {
 		        writeEdges();
 		      } else {
 		        createEdgeIndex();
+		      }
 		      writeAttributes();
+		    }
 		    /// \brief Give back the stream of the writer
 		    ///
 		    /// Give back the stream of the writer
 		    std::ostream& ostream() {
 		      return *_os;
+		    }
 		    /// @}
 		  };
 		  /// \ingroup lemon_io
 		  ///
 		  /// \brief Return a \ref GraphWriter class
 		  ///
-		  /// This function just returns a \ref GraphWriter class.
 		  /// This function just returns a \ref GraphWriter class.
 		  ///
 		  /// With this function a graph can be write to a file or output
 		  /// stream in \ref lgf-format "LGF" format with several maps and
 		  /// attributes. For example, with the following code a weighted
 		  /// matching problem can be written to the standard output, i.e. a
 		  /// graph with a \e weight map on the edges:
 		  ///
 		  ///\code
 		  ///ListGraph graph;
 		  ///ListGraph::EdgeMap<int> weight(graph);
 		  ///  // Setting the weight map
 		  ///graphWriter(graph, std::cout).
 		  ///  edgeMap("weight", weight).
 		  ///  run();
 		  ///\endcode
 		  ///
 		  /// For a complete documentation, please see the \ref GraphWriter
 		  /// class documentation.
 		  /// \warning Don't forget to put the \ref GraphWriter::run() "run()"
 		  /// to the end of the parameter list.
 		  /// \relates GraphWriter
 		  /// \sa graphWriter(const TGR& graph, const std::string& fn)
 		  /// \sa graphWriter(const TGR& graph, const char* fn)
 		  template <typename TGR>

lemon/list_graph.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_LIST_GRAPH_H
 		#define LEMON_LIST_GRAPH_H
 		///\ingroup graphs
 		///\file
 		///\brief ListDigraph and ListGraph classes.
 		#include <lemon/core.h>
 		#include <lemon/error.h>
 		#include <lemon/bits/graph_extender.h>
@@ -425,49 +425,49 @@
 		    /// This function reverses the direction of the given arc.
 		    ///\note \c ArcIt, \c OutArcIt and \c InArcIt iterators referencing
 		    ///the changed arc are invalidated.
 		    ///
 		    ///\warning This functionality cannot be used together with the Snapshot
 		    ///feature.
 		    void reverseArc(Arc a) {
 		      Node t=target(a);
 		      changeTarget(a,source(a));
 		      changeSource(a,t);
+		    }
 		    ///Contract two nodes.
 		    ///This function contracts the given two nodes.
 		    ///Node \c v is removed, but instead of deleting its
 		    ///incident arcs, they are joined to node \c u.
 		    ///If the last parameter \c r is \c true (this is the default value),
 		    ///then the newly created loops are removed.
 		    ///
 		    ///\note The moved arcs are joined to node \c u using changeSource()
 		    ///or changeTarget(), thus \c ArcIt and \c OutArcIt iterators are
 		    ///invalidated for the outgoing arcs of node \c v and \c InArcIt
 		    ///iterators are invalidated for the incomming arcs of \c v.
-		    ///Moreover all iterators referencing node \c v or the removed
 		    ///Moreover all iterators referencing node \c v or the removed
 		    ///loops are also invalidated. Other iterators remain valid.
 		    ///
 		    ///\warning This functionality cannot be used together with the Snapshot
 		    ///feature.
 		    void contract(Node u, Node v, bool r = true)
+		    {
 		      for(OutArcIt e(*this,v);e!=INVALID;) {
 		        OutArcIt f=e;
 		        ++f;
 		        if(r && target(e)==u) erase(e);
 		        else changeSource(e,u);
 		        e=f;
+		      }
 		      for(InArcIt e(*this,v);e!=INVALID;) {
 		        InArcIt f=e;
 		        ++f;
 		        if(r && source(e)==u) erase(e);
 		        else changeTarget(e,u);
 		        e=f;
+		      }
 		      erase(v);
+		    }
 		    ///Split a node.
@@ -531,49 +531,49 @@
 		    /// be large (e.g. it will contain millions of nodes and/or arcs),
 		    /// then it is worth reserving space for this amount before starting
 		    /// to build the digraph.
 		    /// \sa reserveArc()
 		    void reserveNode(int n) { nodes.reserve(n); };
 		    /// Reserve memory for arcs.
 		    /// Using this function, it is possible to avoid superfluous memory
 		    /// allocation: if you know that the digraph you want to build will
 		    /// be large (e.g. it will contain millions of nodes and/or arcs),
 		    /// then it is worth reserving space for this amount before starting
 		    /// to build the digraph.
 		    /// \sa reserveNode()
 		    void reserveArc(int m) { arcs.reserve(m); };
 		    /// \brief Class to make a snapshot of the digraph and restore
 		    /// it later.
 		    ///
 		    /// Class to make a snapshot of the digraph and restore it later.
 		    ///
 		    /// The newly added nodes and arcs can be removed using the
 		    /// restore() function.
 		    ///
-		    /// \note After a state is restored, you cannot restore a later state,
 		    /// \note After a state is restored, you cannot restore a later state,
 		    /// i.e. you cannot add the removed nodes and arcs again using
 		    /// another Snapshot instance.
 		    ///
 		    /// \warning Node and arc deletions and other modifications (e.g.
 		    /// reversing, contracting, splitting arcs or nodes) cannot be
 		    /// restored. These events invalidate the snapshot.
 		    /// However, the arcs and nodes that were added to the digraph after
 		    /// making the current snapshot can be removed without invalidating it.
 		    class Snapshot {
 		    protected:
 		      typedef Parent::NodeNotifier NodeNotifier;
 		      class NodeObserverProxy : public NodeNotifier::ObserverBase {
 		      public:
 		        NodeObserverProxy(Snapshot& _snapshot)
 		          : snapshot(_snapshot) {}
 		        using NodeNotifier::ObserverBase::attach;
 		        using NodeNotifier::ObserverBase::detach;
 		        using NodeNotifier::ObserverBase::attached;
 		      protected:
@@ -1286,49 +1286,49 @@
 		    /// This function changes the second node of the given edge \c e to \c n.
 		    ///
 		    ///\note \c EdgeIt iterators referencing the changed edge remain
 		    ///valid, but \c ArcIt iterators referencing the changed edge and
 		    ///all other iterators whose base node is the changed node are also
 		    ///invalidated.
 		    ///
 		    ///\warning This functionality cannot be used together with the
 		    ///Snapshot feature.
 		    void changeV(Edge e, Node n) {
 		      Parent::changeV(e,n);
+		    }
 		    /// \brief Contract two nodes.
 		    ///
 		    /// This function contracts the given two nodes.
 		    /// Node \c b is removed, but instead of deleting
 		    /// its incident edges, they are joined to node \c a.
 		    /// If the last parameter \c r is \c true (this is the default value),
 		    /// then the newly created loops are removed.
 		    ///
 		    /// \note The moved edges are joined to node \c a using changeU()
 		    /// or changeV(), thus all edge and arc iterators whose base node is
 		    /// \c b are invalidated.
-		    /// Moreover all iterators referencing node \c b or the removed
 		    /// Moreover all iterators referencing node \c b or the removed
 		    /// loops are also invalidated. Other iterators remain valid.
 		    ///
 		    ///\warning This functionality cannot be used together with the
 		    ///Snapshot feature.
 		    void contract(Node a, Node b, bool r = true) {
 		      for(IncEdgeIt e(*this, b); e!=INVALID;) {
 		        IncEdgeIt f = e; ++f;
 		        if (r && runningNode(e) == a) {
 		          erase(e);
 		        } else if (u(e) == b) {
 		          changeU(e, a);
 		        } else {
 		          changeV(e, a);
+		        }
 		        e = f;
+		      }
 		      erase(b);
+		    }
 		    ///Clear the graph.
 		    ///This function erases all nodes and arcs from the graph.
 		    ///
 		    ///\note All iterators of the graph are invalidated, of course.
@@ -1343,49 +1343,49 @@
 		    /// be large (e.g. it will contain millions of nodes and/or edges),
 		    /// then it is worth reserving space for this amount before starting
 		    /// to build the graph.
 		    /// \sa reserveEdge()
 		    void reserveNode(int n) { nodes.reserve(n); };
 		    /// Reserve memory for edges.
 		    /// Using this function, it is possible to avoid superfluous memory
 		    /// allocation: if you know that the graph you want to build will
 		    /// be large (e.g. it will contain millions of nodes and/or edges),
 		    /// then it is worth reserving space for this amount before starting
 		    /// to build the graph.
 		    /// \sa reserveNode()
 		    void reserveEdge(int m) { arcs.reserve(2 * m); };
 		    /// \brief Class to make a snapshot of the graph and restore
 		    /// it later.
 		    ///
 		    /// Class to make a snapshot of the graph and restore it later.
 		    ///
 		    /// The newly added nodes and edges can be removed
 		    /// using the restore() function.
 		    ///
-		    /// \note After a state is restored, you cannot restore a later state,
 		    /// \note After a state is restored, you cannot restore a later state,
 		    /// i.e. you cannot add the removed nodes and edges again using
 		    /// another Snapshot instance.
 		    ///
 		    /// \warning Node and edge deletions and other modifications
 		    /// (e.g. changing the end-nodes of edges or contracting nodes)
 		    /// cannot be restored. These events invalidate the snapshot.
 		    /// However, the edges and nodes that were added to the graph after
 		    /// making the current snapshot can be removed without invalidating it.
 		    class Snapshot {
 		    protected:
 		      typedef Parent::NodeNotifier NodeNotifier;
 		      class NodeObserverProxy : public NodeNotifier::ObserverBase {
 		      public:
 		        NodeObserverProxy(Snapshot& _snapshot)
 		          : snapshot(_snapshot) {}
 		        using NodeNotifier::ObserverBase::attach;
 		        using NodeNotifier::ObserverBase::detach;
 		        using NodeNotifier::ObserverBase::attached;
 		      protected:

lemon/lp.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2008
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_LP_H
 		#define LEMON_LP_H
 		#include<lemon/config.h>
 		#ifdef LEMON_HAVE_GLPK
 		#include <lemon/glpk.h>
 		#elif LEMON_HAVE_CPLEX
 		#include <lemon/cplex.h>
 		#elif LEMON_HAVE_SOPLEX
@@ -63,31 +63,31 @@
 		#define LEMON_DEFAULT_MIP SOLVER
 		  ///The default MIP solver.
 		  ///The default MIP solver.
 		  ///\ingroup lp_group
 		  ///
 		  ///Currently, it is either \c GlpkMip or \c CplexMip
 		  typedef GlpkMip Mip;
 		#else
 		#ifdef LEMON_HAVE_GLPK
 		# define LEMON_DEFAULT_LP GLPK
 		  typedef GlpkLp Lp;
 		# define LEMON_DEFAULT_MIP GLPK
 		  typedef GlpkMip Mip;
 		#elif LEMON_HAVE_CPLEX
 		# define LEMON_DEFAULT_LP CPLEX
 		  typedef CplexLp Lp;
 		# define LEMON_DEFAULT_MIP CPLEX
 		  typedef CplexMip Mip;
 		#elif LEMON_HAVE_SOPLEX
 		# define DEFAULT_LP SOPLEX
 		  typedef SoplexLp Lp;
 		#elif LEMON_HAVE_CLP
 		# define DEFAULT_LP CLP
-		  typedef ClpLp Lp;
 		  typedef ClpLp Lp;
 		#endif
 		#endif
 		} //namespace lemon
 		#endif //LEMON_LP_H

lemon/lp_base.cc

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2008
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		///\file
 		///\brief The implementation of the LP solver interface.
 		#include <lemon/lp_base.h>
 		namespace lemon {
 		  const LpBase::Value LpBase::INF =
 		    std::numeric_limits<LpBase::Value>::infinity();
 		  const LpBase::Value LpBase::NaN =
 		    std::numeric_limits<LpBase::Value>::quiet_NaN();

lemon/lp_base.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2008
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_LP_BASE_H
 		#define LEMON_LP_BASE_H
 		#include<iostream>
 		#include<vector>
 		#include<map>
 		#include<limits>
 		#include<lemon/math.h>
 		#include<lemon/error.h>
 		#include<lemon/assert.h>
@@ -61,236 +61,236 @@
 		      UNSOLVED = 1
 		    };
 		    ///Direction of the optimization
 		    enum Sense {
 		      /// Minimization
 		      MIN,
 		      /// Maximization
 		      MAX
 		    };
 		    ///Enum for \c messageLevel() parameter
 		    enum MessageLevel {
 		      /// No output (default value).
 		      MESSAGE_NOTHING,
 		      /// Error messages only.
 		      MESSAGE_ERROR,
 		      /// Warnings.
 		      MESSAGE_WARNING,
 		      /// Normal output.
 		      MESSAGE_NORMAL,
 		      /// Verbose output.
 		      MESSAGE_VERBOSE
 		    };
 		    ///The floating point type used by the solver
 		    typedef double Value;
 		    ///The infinity constant
 		    static const Value INF;
 		    ///The not a number constant
 		    static const Value NaN;
 		    friend class Col;
 		    friend class ColIt;
 		    friend class Row;
 		    friend class RowIt;
 		    ///Refer to a column of the LP.
 		    ///This type is used to refer to a column of the LP.
 		    ///
 		    ///Its value remains valid and correct even after the addition or erase of
 		    ///other columns.
 		    ///
 		    ///\note This class is similar to other Item types in LEMON, like
 		    ///Node and Arc types in digraph.
 		    class Col {
 		      friend class LpBase;
 		    protected:
 		      int _id;
 		      explicit Col(int id) : _id(id) {}
 		    public:
 		      typedef Value ExprValue;
 		      typedef True LpCol;
 		      /// Default constructor
 		      /// \warning The default constructor sets the Col to an
 		      /// undefined value.
 		      Col() {}
 		      /// Invalid constructor \& conversion.
 		      /// This constructor initializes the Col to be invalid.
-		      /// \sa Invalid for more details.
 		      /// \sa Invalid for more details.
 		      Col(const Invalid&) : _id(-1) {}
 		      /// Equality operator
 		      /// Two \ref Col "Col"s are equal if and only if they point to
 		      /// the same LP column or both are invalid.
 		      bool operator==(Col c) const  {return _id == c._id;}
 		      /// Inequality operator
 		      /// \sa operator==(Col c)
 		      ///
 		      bool operator!=(Col c) const  {return _id != c._id;}
 		      /// Artificial ordering operator.
 		      /// To allow the use of this object in std::map or similar
 		      /// associative container we require this.
 		      ///
 		      /// \note This operator only have to define some strict ordering of
 		      /// the items; this order has nothing to do with the iteration
 		      /// ordering of the items.
 		      bool operator<(Col c) const  {return _id < c._id;}
 		    };
 		    ///Iterator for iterate over the columns of an LP problem
 		    /// Its usage is quite simple, for example, you can count the number
 		    /// of columns in an LP \c lp:
 		    ///\code
 		    /// int count=0;
 		    /// for (LpBase::ColIt c(lp); c!=INVALID; ++c) ++count;
 		    ///\endcode
 		    class ColIt : public Col {
 		      const LpBase *_solver;
 		    public:
 		      /// Default constructor
 		      /// \warning The default constructor sets the iterator
 		      /// to an undefined value.
 		      ColIt() {}
 		      /// Sets the iterator to the first Col
 		      /// Sets the iterator to the first Col.
 		      ///
 		      ColIt(const LpBase &solver) : _solver(&solver)
+		      {
 		        _solver->cols.firstItem(_id);
+		      }
 		      /// Invalid constructor \& conversion
 		      /// Initialize the iterator to be invalid.
 		      /// \sa Invalid for more details.
 		      ColIt(const Invalid&) : Col(INVALID) {}
 		      /// Next column
 		      /// Assign the iterator to the next column.
 		      ///
 		      ColIt &operator++()
+		      {
 		        _solver->cols.nextItem(_id);
 		        return *this;
+		      }
 		    };
 		    /// \brief Returns the ID of the column.
 		    static int id(const Col& col) { return col._id; }
 		    /// \brief Returns the column with the given ID.
 		    ///
 		    /// \pre The argument should be a valid column ID in the LP problem.
 		    static Col colFromId(int id) { return Col(id); }
 		    ///Refer to a row of the LP.
 		    ///This type is used to refer to a row of the LP.
 		    ///
 		    ///Its value remains valid and correct even after the addition or erase of
 		    ///other rows.
 		    ///
 		    ///\note This class is similar to other Item types in LEMON, like
 		    ///Node and Arc types in digraph.
 		    class Row {
 		      friend class LpBase;
 		    protected:
 		      int _id;
 		      explicit Row(int id) : _id(id) {}
 		    public:
 		      typedef Value ExprValue;
 		      typedef True LpRow;
 		      /// Default constructor
 		      /// \warning The default constructor sets the Row to an
 		      /// undefined value.
 		      Row() {}
 		      /// Invalid constructor \& conversion.
 		      /// This constructor initializes the Row to be invalid.
-		      /// \sa Invalid for more details.
 		      /// \sa Invalid for more details.
 		      Row(const Invalid&) : _id(-1) {}
 		      /// Equality operator
 		      /// Two \ref Row "Row"s are equal if and only if they point to
 		      /// the same LP row or both are invalid.
 		      bool operator==(Row r) const  {return _id == r._id;}
 		      /// Inequality operator
 		      /// \sa operator==(Row r)
 		      ///
 		      bool operator!=(Row r) const  {return _id != r._id;}
 		      /// Artificial ordering operator.
 		      /// To allow the use of this object in std::map or similar
 		      /// associative container we require this.
 		      ///
 		      /// \note This operator only have to define some strict ordering of
 		      /// the items; this order has nothing to do with the iteration
 		      /// ordering of the items.
 		      bool operator<(Row r) const  {return _id < r._id;}
 		    };
 		    ///Iterator for iterate over the rows of an LP problem
 		    /// Its usage is quite simple, for example, you can count the number
 		    /// of rows in an LP \c lp:
 		    ///\code
 		    /// int count=0;
 		    /// for (LpBase::RowIt c(lp); c!=INVALID; ++c) ++count;
 		    ///\endcode
 		    class RowIt : public Row {
 		      const LpBase *_solver;
 		    public:
 		      /// Default constructor
 		      /// \warning The default constructor sets the iterator
 		      /// to an undefined value.
 		      RowIt() {}
 		      /// Sets the iterator to the first Row
 		      /// Sets the iterator to the first Row.
 		      ///
 		      RowIt(const LpBase &solver) : _solver(&solver)
+		      {
 		        _solver->rows.firstItem(_id);
+		      }
 		      /// Invalid constructor \& conversion
 		      /// Initialize the iterator to be invalid.
 		      /// \sa Invalid for more details.
 		      RowIt(const Invalid&) : Row(INVALID) {}
 		      /// Next row
 		      /// Assign the iterator to the next row.
 		      ///
 		      RowIt &operator++()
+		      {
 		        _solver->rows.nextItem(_id);
 		        return *this;
+		      }
 		    };
 		    /// \brief Returns the ID of the row.
 		    static int id(const Row& row) { return row._id; }
 		    /// \brief Returns the row with the given ID.
 		    ///
 		    /// \pre The argument should be a valid row ID in the LP problem.
 		    static Row rowFromId(int id) { return Row(id); }
 		  public:
 		    ///Linear expression of variables and a constant component
 		    ///This data structure stores a linear expression of the variables
 		    ///(\ref Col "Col"s) and also has a constant component.
 		    ///
 		    ///There are several ways to access and modify the contents of this
@@ -326,49 +326,49 @@
 		    ///- The constant member can be set and read by dereference
 		    ///  operator (unary *)
 		    ///
 		    ///\code
 		    ///*e=12;
 		    ///double c=*e;
 		    ///\endcode
 		    ///
 		    ///\sa Constr
 		    class Expr {
 		      friend class LpBase;
 		    public:
 		      /// The key type of the expression
 		      typedef LpBase::Col Key;
 		      /// The value type of the expression
 		      typedef LpBase::Value Value;
 		    protected:
 		      Value const_comp;
 		      std::map<int, Value> comps;
 		    public:
 		      typedef True SolverExpr;
 		      /// Default constructor
 		      /// Construct an empty expression, the coefficients and
 		      /// the constant component are initialized to zero.
 		      Expr() : const_comp(0) {}
 		      /// Construct an expression from a column
 		      /// Construct an expression, which has a term with \c c variable
 		      /// and 1.0 coefficient.
 		      Expr(const Col &c) : const_comp(0) {
 		        typedef std::map<int, Value>::value_type pair_type;
 		        comps.insert(pair_type(id(c), 1));
+		      }
 		      /// Construct an expression from a constant
 		      /// Construct an expression, which's constant component is \c v.
 		      ///
 		      Expr(const Value &v) : const_comp(v) {}
 		      /// Returns the coefficient of the column
 		      Value operator[](const Col& c) const {
 		        std::map<int, Value>::const_iterator it=comps.find(id(c));
 		        if (it != comps.end()) {
 		          return it->second;
 		        } else {
 		          return 0;
+		        }
@@ -427,125 +427,125 @@
 		        for (std::map<int, Value>::const_iterator it=e.comps.begin();
 		             it!=e.comps.end(); ++it)
 		          comps[it->first]-=it->second;
 		        const_comp-=e.const_comp;
 		        return *this;
+		      }
 		      ///Multiply with a constant
 		      Expr &operator*=(const Value &v) {
 		        for (std::map<int, Value>::iterator it=comps.begin();
 		             it!=comps.end(); ++it)
 		          it->second*=v;
 		        const_comp*=v;
 		        return *this;
+		      }
 		      ///Division with a constant
 		      Expr &operator/=(const Value &c) {
 		        for (std::map<int, Value>::iterator it=comps.begin();
 		             it!=comps.end(); ++it)
 		          it->second/=c;
 		        const_comp/=c;
 		        return *this;
+		      }
 		      ///Iterator over the expression
 		      ///The iterator iterates over the terms of the expression.
-		      ///
 		      ///The iterator iterates over the terms of the expression.
 		      ///
 		      ///\code
 		      ///double s=0;
 		      ///for(LpBase::Expr::CoeffIt i(e);i!=INVALID;++i)
 		      ///  s+= *i * primal(i);
 		      ///\endcode
 		      class CoeffIt {
 		      private:
 		        std::map<int, Value>::iterator _it, _end;
 		      public:
 		        /// Sets the iterator to the first term
 		        /// Sets the iterator to the first term of the expression.
 		        ///
 		        CoeffIt(Expr& e)
 		          : _it(e.comps.begin()), _end(e.comps.end()){}
 		        /// Convert the iterator to the column of the term
 		        operator Col() const {
 		          return colFromId(_it->first);
+		        }
 		        /// Returns the coefficient of the term
 		        Value& operator*() { return _it->second; }
 		        /// Returns the coefficient of the term
 		        const Value& operator*() const { return _it->second; }
 		        /// Next term
 		        /// Assign the iterator to the next term.
 		        ///
 		        CoeffIt& operator++() { ++_it; return *this; }
 		        /// Equality operator
 		        bool operator==(Invalid) const { return _it == _end; }
 		        /// Inequality operator
 		        bool operator!=(Invalid) const { return _it != _end; }
 		      };
 		      /// Const iterator over the expression
 		      ///The iterator iterates over the terms of the expression.
-		      ///
 		      ///The iterator iterates over the terms of the expression.
 		      ///
 		      ///\code
 		      ///double s=0;
 		      ///for(LpBase::Expr::ConstCoeffIt i(e);i!=INVALID;++i)
 		      ///  s+=*i * primal(i);
 		      ///\endcode
 		      class ConstCoeffIt {
 		      private:
 		        std::map<int, Value>::const_iterator _it, _end;
 		      public:
 		        /// Sets the iterator to the first term
 		        /// Sets the iterator to the first term of the expression.
 		        ///
 		        ConstCoeffIt(const Expr& e)
 		          : _it(e.comps.begin()), _end(e.comps.end()){}
 		        /// Convert the iterator to the column of the term
 		        operator Col() const {
 		          return colFromId(_it->first);
+		        }
 		        /// Returns the coefficient of the term
 		        const Value& operator*() const { return _it->second; }
 		        /// Next term
 		        /// Assign the iterator to the next term.
 		        ///
 		        ConstCoeffIt& operator++() { ++_it; return *this; }
 		        /// Equality operator
 		        bool operator==(Invalid) const { return _it == _end; }
 		        /// Inequality operator
 		        bool operator!=(Invalid) const { return _it != _end; }
 		      };
 		    };
 		    ///Linear constraint
 		    ///This data stucture represents a linear constraint in the LP.
 		    ///Basically it is a linear expression with a lower or an upper bound
 		    ///(or both). These parts of the constraint can be obtained by the member
 		    ///functions \ref expr(), \ref lowerBound() and \ref upperBound(),
 		    ///respectively.
 		    ///There are two ways to construct a constraint.
 		    ///- You can set the linear expression and the bounds directly
 		    ///  by the functions above.
 		    ///- The operators <tt>\<=</tt>, <tt>==</tt> and  <tt>\>=</tt>
 		    ///  are defined between expressions, or even between constraints whenever
@@ -652,210 +652,210 @@
 		    ///are valid \ref DualExpr dual expressions.
 		    ///The usual assignment operations are also defined.
 		    ///\code
 		    ///e=v+w;
 		    ///e+=2*v-3.12*(v-w/2);
 		    ///e*=3.4;
 		    ///e/=5;
 		    ///\endcode
 		    ///
 		    ///\sa Expr
 		    class DualExpr {
 		      friend class LpBase;
 		    public:
 		      /// The key type of the expression
 		      typedef LpBase::Row Key;
 		      /// The value type of the expression
 		      typedef LpBase::Value Value;
 		    protected:
 		      std::map<int, Value> comps;
 		    public:
 		      typedef True SolverExpr;
 		      /// Default constructor
 		      /// Construct an empty expression, the coefficients are
 		      /// initialized to zero.
 		      DualExpr() {}
 		      /// Construct an expression from a row
 		      /// Construct an expression, which has a term with \c r dual
 		      /// variable and 1.0 coefficient.
 		      DualExpr(const Row &r) {
 		        typedef std::map<int, Value>::value_type pair_type;
 		        comps.insert(pair_type(id(r), 1));
+		      }
 		      /// Returns the coefficient of the row
 		      Value operator[](const Row& r) const {
 		        std::map<int, Value>::const_iterator it = comps.find(id(r));
 		        if (it != comps.end()) {
 		          return it->second;
 		        } else {
 		          return 0;
+		        }
+		      }
 		      /// Returns the coefficient of the row
 		      Value& operator[](const Row& r) {
 		        return comps[id(r)];
+		      }
 		      /// Sets the coefficient of the row
 		      void set(const Row &r, const Value &v) {
 		        if (v != 0.0) {
 		          typedef std::map<int, Value>::value_type pair_type;
 		          comps.insert(pair_type(id(r), v));
 		        } else {
 		          comps.erase(id(r));
+		        }
+		      }
 		      /// \brief Removes the coefficients which's absolute value does
-		      /// not exceed \c epsilon.
 		      /// not exceed \c epsilon.
 		      void simplify(Value epsilon = 0.0) {
 		        std::map<int, Value>::iterator it=comps.begin();
 		        while (it != comps.end()) {
 		          std::map<int, Value>::iterator jt=it;
 		          ++jt;
 		          if (std::fabs((*it).second) <= epsilon) comps.erase(it);
 		          it=jt;
+		        }
+		      }
 		      void simplify(Value epsilon = 0.0) const {
 		        const_cast<DualExpr*>(this)->simplify(epsilon);
+		      }
 		      ///Sets all coefficients to 0.
 		      void clear() {
 		        comps.clear();
+		      }
 		      ///Compound assignment
 		      DualExpr &operator+=(const DualExpr &e) {
 		        for (std::map<int, Value>::const_iterator it=e.comps.begin();
 		             it!=e.comps.end(); ++it)
 		          comps[it->first]+=it->second;
 		        return *this;
+		      }
 		      ///Compound assignment
 		      DualExpr &operator-=(const DualExpr &e) {
 		        for (std::map<int, Value>::const_iterator it=e.comps.begin();
 		             it!=e.comps.end(); ++it)
 		          comps[it->first]-=it->second;
 		        return *this;
+		      }
 		      ///Multiply with a constant
 		      DualExpr &operator*=(const Value &v) {
 		        for (std::map<int, Value>::iterator it=comps.begin();
 		             it!=comps.end(); ++it)
 		          it->second*=v;
 		        return *this;
+		      }
 		      ///Division with a constant
 		      DualExpr &operator/=(const Value &v) {
 		        for (std::map<int, Value>::iterator it=comps.begin();
 		             it!=comps.end(); ++it)
 		          it->second/=v;
 		        return *this;
+		      }
 		      ///Iterator over the expression
 		      ///The iterator iterates over the terms of the expression.
-		      ///
 		      ///The iterator iterates over the terms of the expression.
 		      ///
 		      ///\code
 		      ///double s=0;
 		      ///for(LpBase::DualExpr::CoeffIt i(e);i!=INVALID;++i)
 		      ///  s+= *i * dual(i);
 		      ///\endcode
 		      class CoeffIt {
 		      private:
 		        std::map<int, Value>::iterator _it, _end;
 		      public:
 		        /// Sets the iterator to the first term
 		        /// Sets the iterator to the first term of the expression.
 		        ///
 		        CoeffIt(DualExpr& e)
 		          : _it(e.comps.begin()), _end(e.comps.end()){}
 		        /// Convert the iterator to the row of the term
 		        operator Row() const {
 		          return rowFromId(_it->first);
+		        }
 		        /// Returns the coefficient of the term
 		        Value& operator*() { return _it->second; }
 		        /// Returns the coefficient of the term
 		        const Value& operator*() const { return _it->second; }
 		        /// Next term
 		        /// Assign the iterator to the next term.
 		        ///
 		        CoeffIt& operator++() { ++_it; return *this; }
 		        /// Equality operator
 		        bool operator==(Invalid) const { return _it == _end; }
 		        /// Inequality operator
 		        bool operator!=(Invalid) const { return _it != _end; }
 		      };
 		      ///Iterator over the expression
 		      ///The iterator iterates over the terms of the expression.
-		      ///
 		      ///The iterator iterates over the terms of the expression.
 		      ///
 		      ///\code
 		      ///double s=0;
 		      ///for(LpBase::DualExpr::ConstCoeffIt i(e);i!=INVALID;++i)
 		      ///  s+= *i * dual(i);
 		      ///\endcode
 		      class ConstCoeffIt {
 		      private:
 		        std::map<int, Value>::const_iterator _it, _end;
 		      public:
 		        /// Sets the iterator to the first term
 		        /// Sets the iterator to the first term of the expression.
 		        ///
 		        ConstCoeffIt(const DualExpr& e)
 		          : _it(e.comps.begin()), _end(e.comps.end()){}
 		        /// Convert the iterator to the row of the term
 		        operator Row() const {
 		          return rowFromId(_it->first);
+		        }
 		        /// Returns the coefficient of the term
 		        const Value& operator*() const { return _it->second; }
 		        /// Next term
 		        /// Assign the iterator to the next term.
 		        ///
 		        ConstCoeffIt& operator++() { ++_it; return *this; }
 		        /// Equality operator
 		        bool operator==(Invalid) const { return _it == _end; }
 		        /// Inequality operator
 		        bool operator!=(Invalid) const { return _it != _end; }
 		      };
 		    };
 		  protected:
 		    class InsertIterator {
 		    private:
 		      std::map<int, Value>& _host;
 		      const _solver_bits::VarIndex& _index;
 		    public:
 		      typedef std::output_iterator_tag iterator_category;
 		      typedef void difference_type;
@@ -1208,49 +1208,49 @@
 		      return e;
+		    }
 		    ///Add a new row (i.e a new constraint) to the LP
 		    ///\param l is the lower bound (-\ref INF means no bound)
 		    ///\param e is a linear expression (see \ref Expr)
 		    ///\param u is the upper bound (\ref INF means no bound)
 		    ///\return The created row.
 		    Row addRow(Value l,const Expr &e, Value u) {
 		      Row r;
 		      e.simplify();
 		      r._id = _addRowId(_addRow(l - *e, ExprIterator(e.comps.begin(), cols),
 		                                ExprIterator(e.comps.end(), cols), u - *e));
 		      return r;
+		    }
 		    ///Add a new row (i.e a new constraint) to the LP
 		    ///\param c is a linear expression (see \ref Constr)
 		    ///\return The created row.
 		    Row addRow(const Constr &c) {
 		      Row r;
 		      c.expr().simplify();
-		      r._id = _addRowId(_addRow(c.lowerBounded()?c.lowerBound()-*c.expr():-INF,
 		      r._id = _addRowId(_addRow(c.lowerBounded()?c.lowerBound()-*c.expr():-INF,
 		                                ExprIterator(c.expr().comps.begin(), cols),
 		                                ExprIterator(c.expr().comps.end(), cols),
 		                                c.upperBounded()?c.upperBound()-*c.expr():INF));
 		      return r;
+		    }
 		    ///Erase a column (i.e a variable) from the LP
 		    ///\param c is the column to be deleted
 		    void erase(Col c) {
 		      _eraseCol(cols(id(c)));
 		      _eraseColId(cols(id(c)));
+		    }
 		    ///Erase a row (i.e a constraint) from the LP
 		    ///\param r is the row to be deleted
 		    void erase(Row r) {
 		      _eraseRow(rows(id(r)));
 		      _eraseRowId(rows(id(r)));
+		    }
 		    /// Get the name of a column
 		    ///\param c is the coresponding column
 		    ///\return The name of the colunm
@@ -1796,52 +1796,52 @@
 		  /// descendants as a concrete implementation, or the \c Lp
 		  /// default LP solver. However, if you would like to handle LP
 		  /// solvers as reference or pointer in a generic way, you can use
 		  /// this class directly.
 		  class LpSolver : virtual public LpBase {
 		  public:
 		    /// The problem types for primal and dual problems
 		    enum ProblemType {
 		      /// = 0. Feasible solution hasn't been found (but may exist).
 		      UNDEFINED = 0,
 		      /// = 1. The problem has no feasible solution.
 		      INFEASIBLE = 1,
 		      /// = 2. Feasible solution found.
 		      FEASIBLE = 2,
 		      /// = 3. Optimal solution exists and found.
 		      OPTIMAL = 3,
 		      /// = 4. The cost function is unbounded.
 		      UNBOUNDED = 4
 		    };
 		    ///The basis status of variables
 		    enum VarStatus {
 		      /// The variable is in the basis
-		      BASIC,
 		      BASIC,
 		      /// The variable is free, but not basic
 		      FREE,
-		      /// The variable has active lower bound
 		      /// The variable has active lower bound
 		      LOWER,
 		      /// The variable has active upper bound
 		      UPPER,
 		      /// The variable is non-basic and fixed
 		      FIXED
 		    };
 		  protected:
 		    virtual SolveExitStatus _solve() = 0;
 		    virtual Value _getPrimal(int i) const = 0;
 		    virtual Value _getDual(int i) const = 0;
 		    virtual Value _getPrimalRay(int i) const = 0;
 		    virtual Value _getDualRay(int i) const = 0;
 		    virtual Value _getPrimalValue() const = 0;
 		    virtual VarStatus _getColStatus(int i) const = 0;
 		    virtual VarStatus _getRowStatus(int i) const = 0;
 		    virtual ProblemType _getPrimalType() const = 0;
 		    virtual ProblemType _getDualType() const = 0;
@@ -1878,83 +1878,83 @@
 		    /// The type of the dual problem
 		    ProblemType dualType() const {
 		      return _getDualType();
+		    }
 		    /// Return the primal value of the column
 		    /// Return the primal value of the column.
 		    /// \pre The problem is solved.
 		    Value primal(Col c) const { return _getPrimal(cols(id(c))); }
 		    /// Return the primal value of the expression
 		    /// Return the primal value of the expression, i.e. the dot
 		    /// product of the primal solution and the expression.
 		    /// \pre The problem is solved.
 		    Value primal(const Expr& e) const {
 		      double res = *e;
 		      for (Expr::ConstCoeffIt c(e); c != INVALID; ++c) {
 		        res += *c * primal(c);
+		      }
 		      return res;
+		    }
 		    /// Returns a component of the primal ray
 		    /// The primal ray is solution of the modified primal problem,
 		    /// where we change each finite bound to 0, and we looking for a
 		    /// negative objective value in case of minimization, and positive
 		    /// objective value for maximization. If there is such solution,
 		    /// that proofs the unsolvability of the dual problem, and if a
 		    /// feasible primal solution exists, then the unboundness of
 		    /// primal problem.
 		    ///
 		    /// \pre The problem is solved and the dual problem is infeasible.
 		    /// \note Some solvers does not provide primal ray calculation
 		    /// functions.
 		    Value primalRay(Col c) const { return _getPrimalRay(cols(id(c))); }
 		    /// Return the dual value of the row
 		    /// Return the dual value of the row.
 		    /// \pre The problem is solved.
 		    Value dual(Row r) const { return _getDual(rows(id(r))); }
 		    /// Return the dual value of the dual expression
 		    /// Return the dual value of the dual expression, i.e. the dot
 		    /// product of the dual solution and the dual expression.
 		    /// \pre The problem is solved.
 		    Value dual(const DualExpr& e) const {
 		      double res = 0.0;
 		      for (DualExpr::ConstCoeffIt r(e); r != INVALID; ++r) {
 		        res += *r * dual(r);
+		      }
 		      return res;
+		    }
 		    /// Returns a component of the dual ray
 		    /// The dual ray is solution of the modified primal problem, where
 		    /// we change each finite bound to 0 (i.e. the objective function
 		    /// coefficients in the primal problem), and we looking for a
 		    /// ositive objective value. If there is such solution, that
 		    /// proofs the unsolvability of the primal problem, and if a
 		    /// feasible dual solution exists, then the unboundness of
 		    /// dual problem.
 		    ///
 		    /// \pre The problem is solved and the primal problem is infeasible.
 		    /// \note Some solvers does not provide dual ray calculation
 		    /// functions.
 		    Value dualRay(Row r) const { return _getDualRay(rows(id(r))); }
 		    /// Return the basis status of the column
 		    /// \see VarStatus
 		    VarStatus colStatus(Col c) const { return _getColStatus(cols(id(c))); }
 		    /// Return the basis status of the row
 		    /// \see VarStatus
 		    VarStatus rowStatus(Row r) const { return _getRowStatus(rows(id(r))); }
 		    ///The value of the objective function
@@ -2054,49 +2054,49 @@
 		    /// The type of the MIP problem
 		    ProblemType type() const {
 		      return _getType();
+		    }
 		    /// Return the value of the row in the solution
 		    ///  Return the value of the row in the solution.
 		    /// \pre The problem is solved.
 		    Value sol(Col c) const { return _getSol(cols(id(c))); }
 		    /// Return the value of the expression in the solution
 		    /// Return the value of the expression in the solution, i.e. the
 		    /// dot product of the solution and the expression.
 		    /// \pre The problem is solved.
 		    Value sol(const Expr& e) const {
 		      double res = *e;
 		      for (Expr::ConstCoeffIt c(e); c != INVALID; ++c) {
 		        res += *c * sol(c);
+		      }
 		      return res;
+		    }
 		    ///The value of the objective function
 		    ///\return
 		    ///- \ref INF or -\ref INF means either infeasibility or unboundedness
 		    /// of the problem, depending on whether we minimize or maximize.
 		    ///- \ref NaN if no primal solution is found.
 		    ///- The (finite) objective value if an optimal solution is found.
 		    Value solValue() const { return _getSolValue()+obj_const_comp;}
 		    ///@}
 		  protected:
 		    virtual SolveExitStatus _solve() = 0;
 		    virtual ColTypes _getColType(int col) const = 0;
 		    virtual void _setColType(int col, ColTypes col_type) = 0;
 		    virtual ProblemType _getType() const = 0;
 		    virtual Value _getSol(int i) const = 0;
 		    virtual Value _getSolValue() const = 0;
 		  };
 		} //namespace lemon
 		#endif //LEMON_LP_BASE_H

lemon/lp_skeleton.cc

Show inline comments

/* -*- mode: C++; indent-tabs-mode: nil; -*-
 *
 * This file is a part of LEMON, a generic C++ optimization library.
 *
 * Copyright (C) 2003-2008
 * Copyright (C) 2003-2010
 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 * (Egervary Research Group on Combinatorial Optimization, EGRES).
 *
 * Permission to use, modify and distribute this software is granted
 * provided that this copyright notice appears in all copies. For
 * precise terms see the accompanying LICENSE file.
 *
 * This software is provided "AS IS" with no warranty of any kind,
 * express or implied, and with no claim as to its suitability for any
 * purpose.
 *
 */

#include <lemon/lp_skeleton.h>

///\file
///\brief A skeleton file to implement LP solver interfaces
namespace lemon {

  int SkeletonSolverBase::_addCol()
  {
    return ++col_num;
  }


lemon/lp_skeleton.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2008
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_LP_SKELETON_H
 		#define LEMON_LP_SKELETON_H
 		#include <lemon/lp_base.h>
 		///\file
 		///\brief Skeleton file to implement LP/MIP solver interfaces
-		///
 		///
 		///The classes in this file do nothing, but they can serve as skeletons when
 		///implementing an interface to new solvers.
 		namespace lemon {
 		  ///A skeleton class to implement LP/MIP solver base interface
 		  ///This class does nothing, but it can serve as a skeleton when
 		  ///implementing an interface to new solvers.
 		  class SkeletonSolverBase : public virtual LpBase {
 		    int col_num,row_num;
 		  protected:
 		    SkeletonSolverBase()
 		      : col_num(-1), row_num(-1) {}
 		    /// \e
 		    virtual int _addCol();
 		    /// \e
 		    virtual int _addRow();
 		    /// \e
 		    virtual int _addRow(Value l, ExprIterator b, ExprIterator e, Value u);
 		    /// \e
 		    virtual void _eraseCol(int i);
 		    /// \e
 		    virtual void _eraseRow(int i);
 		    /// \e
 		    virtual void _getColName(int col, std::string& name) const;
 		    /// \e

lemon/maps.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_MAPS_H
 		#define LEMON_MAPS_H
 		#include <iterator>
 		#include <functional>
 		#include <vector>
 		#include <map>
 		#include <lemon/core.h>
 		///\file
@@ -212,49 +212,49 @@
 		    /// Gives back the given value without any modification.
 		    Value operator[](const Key &k) const {
 		      return k;
+		    }
 		  };
 		  /// Returns an \c IdentityMap class
 		  /// This function just returns an \c IdentityMap class.
 		  /// \relates IdentityMap
 		  template<typename T>
 		  inline IdentityMap<T> identityMap() {
 		    return IdentityMap<T>();
+		  }
 		  /// \brief Map for storing values for integer keys from the range
 		  /// <tt>[0..size-1]</tt>.
 		  ///
 		  /// This map is essentially a wrapper for \c std::vector. It assigns
 		  /// values to integer keys from the range <tt>[0..size-1]</tt>.
 		  /// It can be used together with some data structures, e.g.
 		  /// heap types and \c UnionFind, when the used items are small
 		  /// integers. This map conforms to the \ref concepts::ReferenceMap
-		  /// "ReferenceMap" concept.
 		  /// "ReferenceMap" concept.
 		  ///
 		  /// The simplest way of using this map is through the rangeMap()
 		  /// function.
 		  template <typename V>
 		  class RangeMap : public MapBase<int, V> {
 		    template <typename V1>
 		    friend class RangeMap;
 		  private:
 		    typedef std::vector<V> Vector;
 		    Vector _vector;
 		  public:
 		    /// Key type
 		    typedef int Key;
 		    /// Value type
 		    typedef V Value;
 		    /// Reference type
 		    typedef typename Vector::reference Reference;
 		    /// Const reference type
 		    typedef typename Vector::const_reference ConstReference;
 		    typedef True ReferenceMapTag;
@@ -1895,53 +1895,53 @@
 		    /// \brief Gives back the inverse of the map.
 		    ///
 		    /// Gives back the inverse of the IdMap.
 		    InverseMap inverse() const { return InverseMap(*_graph);}
 		  };
 		  /// \brief Returns an \c IdMap class.
 		  ///
 		  /// This function just returns an \c IdMap class.
 		  /// \relates IdMap
 		  template <typename K, typename GR>
 		  inline IdMap<GR, K> idMap(const GR& graph) {
 		    return IdMap<GR, K>(graph);
+		  }
 		  /// \brief General cross reference graph map type.
 		  /// This class provides simple invertable graph maps.
 		  /// It wraps a standard graph map (\c NodeMap, \c ArcMap or \c EdgeMap)
 		  /// and if a key is set to a new value, then stores it in the inverse map.
 		  /// The graph items can be accessed by their values either using
 		  /// \c InverseMap or \c operator()(), and the values of the map can be
 		  /// accessed with an STL compatible forward iterator (\c ValueIt).
-		  ///
 		  ///
 		  /// This map is intended to be used when all associated values are
 		  /// different (the map is actually invertable) or there are only a few
 		  /// items with the same value.
-		  /// Otherwise consider to use \c IterableValueMap, which is more
 		  /// Otherwise consider to use \c IterableValueMap, which is more
 		  /// suitable and more efficient for such cases. It provides iterators
 		  /// to traverse the items with the same associated value, but
 		  /// it does not have \c InverseMap.
 		  ///
 		  /// This type is not reference map, so it cannot be modified with
 		  /// the subscript operator.
 		  ///
 		  /// \tparam GR The graph type.
 		  /// \tparam K The key type of the map (\c GR::Node, \c GR::Arc or
 		  /// \c GR::Edge).
 		  /// \tparam V The value type of the map.
 		  ///
 		  /// \see IterableValueMap
 		  template <typename GR, typename K, typename V>
 		  class CrossRefMap
 		    : protected ItemSetTraits<GR, K>::template Map<V>::Type {
 		  private:
 		    typedef typename ItemSetTraits<GR, K>::
 		      template Map<V>::Type Map;
 		    typedef std::multimap<V, K> Container;
 		    Container _inv_map;
@@ -1981,49 +1981,49 @@
 		      ValueIt() {}
 		      /// \e
 		      ValueIt& operator++() { ++it; return *this; }
 		      /// \e
 		      ValueIt operator++(int) {
 		        ValueIt tmp(*this);
 		        operator++();
 		        return tmp;
+		      }
 		      /// \e
 		      const Value& operator*() const { return it->first; }
 		      /// \e
 		      const Value* operator->() const { return &(it->first); }
 		      /// \e
 		      bool operator==(ValueIt jt) const { return it == jt.it; }
 		      /// \e
 		      bool operator!=(ValueIt jt) const { return it != jt.it; }
 		    private:
 		      typename Container::const_iterator it;
 		    };
 		    /// Alias for \c ValueIt
 		    typedef ValueIt ValueIterator;
 		    /// \brief Returns an iterator to the first value.
 		    ///
 		    /// Returns an STL compatible iterator to the
 		    /// first value of the map. The values of the
 		    /// map can be accessed in the <tt>[beginValue, endValue)</tt>
 		    /// range.
 		    ValueIt beginValue() const {
 		      return ValueIt(_inv_map.begin());
+		    }
 		    /// \brief Returns an iterator after the last value.
 		    ///
 		    /// Returns an STL compatible iterator after the
 		    /// last value of the map. The values of the
 		    /// map can be accessed in the <tt>[beginValue, endValue)</tt>
 		    /// range.
 		    ValueIt endValue() const {
 		      return ValueIt(_inv_map.end());
+		    }
 		    /// \brief Sets the value associated with the given key.
@@ -2040,49 +2040,49 @@
+		        }
+		      }
 		      _inv_map.insert(std::make_pair(val, key));
 		      Map::set(key, val);
+		    }
 		    /// \brief Returns the value associated with the given key.
 		    ///
 		    /// Returns the value associated with the given key.
 		    typename MapTraits<Map>::ConstReturnValue
 		    operator[](const Key& key) const {
 		      return Map::operator[](key);
+		    }
 		    /// \brief Gives back an item by its value.
 		    ///
 		    /// This function gives back an item that is assigned to
 		    /// the given value or \c INVALID if no such item exists.
 		    /// If there are more items with the same associated value,
 		    /// only one of them is returned.
 		    Key operator()(const Value& val) const {
 		      typename Container::const_iterator it = _inv_map.find(val);
 		      return it != _inv_map.end() ? it->second : INVALID;
+		    }
 		    /// \brief Returns the number of items with the given value.
 		    ///
 		    /// This function returns the number of items with the given value
 		    /// associated with it.
 		    int count(const Value &val) const {
 		      return _inv_map.count(val);
+		    }
 		  protected:
 		    /// \brief Erase the key from the map and the inverse map.
 		    ///
 		    /// Erase the key from the map and the inverse map. It is called by the
 		    /// \c AlterationNotifier.
 		    virtual void erase(const Key& key) {
 		      Value val = Map::operator[](key);
 		      typename Container::iterator it;
 		      for (it = _inv_map.equal_range(val).first;
 		           it != _inv_map.equal_range(val).second; ++it) {
 		        if (it->second == key) {
 		          _inv_map.erase(it);
 		          break;
+		        }
+		      }
@@ -2357,49 +2357,49 @@
 		      unsigned int size() const {
 		        return _inverted.size();
+		      }
 		    private:
 		      const RangeIdMap& _inverted;
 		    };
 		    /// \brief Gives back the inverse of the map.
 		    ///
 		    /// Gives back the inverse of the RangeIdMap.
 		    const InverseMap inverse() const {
 		      return InverseMap(*this);
+		    }
 		  };
 		  /// \brief Returns a \c RangeIdMap class.
 		  ///
 		  /// This function just returns an \c RangeIdMap class.
 		  /// \relates RangeIdMap
 		  template <typename K, typename GR>
 		  inline RangeIdMap<GR, K> rangeIdMap(const GR& graph) {
 		    return RangeIdMap<GR, K>(graph);
+		  }
 		  /// \brief Dynamic iterable \c bool map.
 		  ///
 		  /// This class provides a special graph map type which can store a
 		  /// \c bool value for graph items (\c Node, \c Arc or \c Edge).
 		  /// For both \c true and \c false values it is possible to iterate on
 		  /// the keys mapped to the value.
 		  ///
 		  /// This type is a reference map, so it can be modified with the
 		  /// subscript operator.
 		  ///
 		  /// \tparam GR The graph type.
 		  /// \tparam K The key type of the map (\c GR::Node, \c GR::Arc or
 		  /// \c GR::Edge).
 		  ///
 		  /// \see IterableIntMap, IterableValueMap
 		  /// \see CrossRefMap
 		  template <typename GR, typename K>
 		  class IterableBoolMap
 		    : protected ItemSetTraits<GR, K>::template Map<int>::Type {
 		  private:
 		    typedef GR Graph;
 		    typedef typename ItemSetTraits<GR, K>::ItemIt KeyIt;
 		    typedef typename ItemSetTraits<GR, K>::template Map<int>::Type Parent;
@@ -2617,49 +2617,49 @@
+		      }
 		    private:
 		      const IterableBoolMap* _map;
 		    };
 		    /// \brief Iterator for the keys mapped to a given value.
 		    ///
 		    /// Iterator for the keys mapped to a given value. It works
 		    /// like a graph item iterator, it can be converted to
 		    /// the key type of the map, incremented with \c ++ operator, and
 		    /// if the iterator leaves the last valid key, it will be equal to
 		    /// \c INVALID.
 		    class ItemIt : public Key {
 		    public:
 		      typedef Key Parent;
 		      /// \brief Creates an iterator with a value.
 		      ///
 		      /// Creates an iterator with a value. It iterates on the
 		      /// keys mapped to the given value.
 		      /// \param map The IterableBoolMap.
 		      /// \param value The value.
 		      ItemIt(const IterableBoolMap& map, bool value)
-		        : Parent(value ?
 		        : Parent(value ?
 		                 (map._sep > 0 ?
 		                  map._array[map._sep - 1] : INVALID) :
 		                 (map._sep < int(map._array.size()) ?
 		                  map._array.back() : INVALID)), _map(&map) {}
 		      /// \brief Invalid constructor \& conversion.
 		      ///
 		      /// This constructor initializes the iterator to be invalid.
 		      /// \sa Invalid for more details.
 		      ItemIt(Invalid) : Parent(INVALID), _map(0) {}
 		      /// \brief Increment operator.
 		      ///
 		      /// Increment operator.
 		      ItemIt& operator++() {
 		        int pos = _map->position(*this);
 		        int _sep = pos >= _map->_sep ? _map->_sep : 0;
 		        Parent::operator=(pos > _sep ? _map->_array[pos - 1] : INVALID);
 		        return *this;
+		      }
 		    private:
 		      const IterableBoolMap* _map;
 		    };
@@ -3765,69 +3765,69 @@
+		  }
 		  /// \brief Copy the values of a graph map to another map.
 		  ///
 		  /// This function copies the values of a graph map to another graph map.
 		  /// \c To::Key must be equal or convertible to \c From::Key and
 		  /// \c From::Value must be equal or convertible to \c To::Value.
 		  ///
 		  /// For example, an edge map of \c int value type can be copied to
 		  /// an arc map of \c double value type in an undirected graph, but
 		  /// an arc map cannot be copied to an edge map.
 		  /// Note that even a \ref ConstMap can be copied to a standard graph map,
 		  /// but \ref mapFill() can also be used for this purpose.
 		  ///
 		  /// \param gr The graph for which the maps are defined.
 		  /// \param from The map from which the values have to be copied.
 		  /// It must conform to the \ref concepts::ReadMap "ReadMap" concept.
 		  /// \param to The map to which the values have to be copied.
 		  /// It must conform to the \ref concepts::WriteMap "WriteMap" concept.
 		  template <typename GR, typename From, typename To>
 		  void mapCopy(const GR& gr, const From& from, To& to) {
 		    typedef typename To::Key Item;
 		    typedef typename ItemSetTraits<GR, Item>::ItemIt ItemIt;
 		    for (ItemIt it(gr); it != INVALID; ++it) {
 		      to.set(it, from[it]);
+		    }
+		  }
 		  /// \brief Compare two graph maps.
 		  ///
-		  /// This function compares the values of two graph maps. It returns
 		  /// This function compares the values of two graph maps. It returns
 		  /// \c true if the maps assign the same value for all items in the graph.
 		  /// The \c Key type of the maps (\c Node, \c Arc or \c Edge) must be equal
 		  /// and their \c Value types must be comparable using \c %operator==().
 		  ///
 		  /// \param gr The graph for which the maps are defined.
 		  /// \param map1 The first map.
 		  /// \param map2 The second map.
 		  template <typename GR, typename Map1, typename Map2>
 		  bool mapCompare(const GR& gr, const Map1& map1, const Map2& map2) {
 		    typedef typename Map2::Key Item;
 		    typedef typename ItemSetTraits<GR, Item>::ItemIt ItemIt;
 		    for (ItemIt it(gr); it != INVALID; ++it) {
 		      if (!(map1[it] == map2[it])) return false;
+		    }
 		    return true;
+		  }
 		  /// \brief Return an item having minimum value of a graph map.
 		  ///
 		  /// This function returns an item (\c Node, \c Arc or \c Edge) having
 		  /// minimum value of the given graph map.
 		  /// If the item set is empty, it returns \c INVALID.
 		  ///
 		  /// \param gr The graph for which the map is defined.
 		  /// \param map The graph map.
 		  template <typename GR, typename Map>
 		  typename Map::Key mapMin(const GR& gr, const Map& map) {
 		    return mapMin(gr, map, std::less<typename Map::Value>());
+		  }
 		  /// \brief Return an item having minimum value of a graph map.
 		  ///
 		  /// This function returns an item (\c Node, \c Arc or \c Edge) having
 		  /// minimum value of the given graph map.
 		  /// If the item set is empty, it returns \c INVALID.

lemon/matching.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_MATCHING_H
 		#define LEMON_MATCHING_H
 		#include <vector>
 		#include <queue>
 		#include <set>
 		#include <limits>
 		#include <lemon/core.h>
 		#include <lemon/unionfind.h>
 		#include <lemon/bin_heap.h>
@@ -1602,49 +1602,49 @@
 		    ///@{
 		    /// \brief Initialize the algorithm
 		    ///
 		    /// This function initializes the algorithm.
 		    void init() {
 		      createStructures();
 		      _blossom_node_list.clear();
 		      _blossom_potential.clear();
 		      for (ArcIt e(_graph); e != INVALID; ++e) {
 		        (*_node_heap_index)[e] = BinHeap<Value, IntArcMap>::PRE_HEAP;
+		      }
 		      for (NodeIt n(_graph); n != INVALID; ++n) {
 		        (*_delta1_index)[n] = _delta1->PRE_HEAP;
+		      }
 		      for (EdgeIt e(_graph); e != INVALID; ++e) {
 		        (*_delta3_index)[e] = _delta3->PRE_HEAP;
+		      }
 		      for (int i = 0; i < _blossom_num; ++i) {
 		        (*_delta2_index)[i] = _delta2->PRE_HEAP;
 		        (*_delta4_index)[i] = _delta4->PRE_HEAP;
+		      }
 		      _unmatched = _node_num;
 		      _delta1->clear();
 		      _delta2->clear();
 		      _delta3->clear();
 		      _delta4->clear();
 		      _blossom_set->clear();
 		      _tree_set->clear();
 		      int index = 0;
 		      for (NodeIt n(_graph); n != INVALID; ++n) {
 		        Value max = 0;
 		        for (OutArcIt e(_graph, n); e != INVALID; ++e) {
 		          if (_graph.target(e) == n) continue;
 		          if ((dualScale * _weight[e]) / 2 > max) {
 		            max = (dualScale * _weight[e]) / 2;
+		          }
+		        }
 		        (*_node_index)[n] = index;
 		        (*_node_data)[index].heap_index.clear();
 		        (*_node_data)[index].heap.clear();
 		        (*_node_data)[index].pot = max;
 		        _delta1->push(n, max);
 		        int blossom =
@@ -1657,49 +1657,49 @@
 		        (*_blossom_data)[blossom].next = INVALID;
 		        (*_blossom_data)[blossom].pot = 0;
 		        (*_blossom_data)[blossom].offset = 0;
 		        ++index;
+		      }
 		      for (EdgeIt e(_graph); e != INVALID; ++e) {
 		        int si = (*_node_index)[_graph.u(e)];
 		        int ti = (*_node_index)[_graph.v(e)];
 		        if (_graph.u(e) != _graph.v(e)) {
 		          _delta3->push(e, ((*_node_data)[si].pot + (*_node_data)[ti].pot -
 		                            dualScale * _weight[e]) / 2);
+		        }
+		      }
+		    }
 		    /// \brief Initialize the algorithm with fractional matching
 		    ///
 		    /// This function initializes the algorithm with a fractional
 		    /// matching. This initialization is also called jumpstart heuristic.
 		    void fractionalInit() {
 		      createStructures();
 		      _blossom_node_list.clear();
 		      _blossom_potential.clear();
 		      if (_fractional == 0) {
 		        _fractional = new FractionalMatching(_graph, _weight, false);
+		      }
 		      _fractional->run();
 		      for (ArcIt e(_graph); e != INVALID; ++e) {
 		        (*_node_heap_index)[e] = BinHeap<Value, IntArcMap>::PRE_HEAP;
+		      }
 		      for (NodeIt n(_graph); n != INVALID; ++n) {
 		        (*_delta1_index)[n] = _delta1->PRE_HEAP;
+		      }
 		      for (EdgeIt e(_graph); e != INVALID; ++e) {
 		        (*_delta3_index)[e] = _delta3->PRE_HEAP;
+		      }
 		      for (int i = 0; i < _blossom_num; ++i) {
 		        (*_delta2_index)[i] = _delta2->PRE_HEAP;
 		        (*_delta4_index)[i] = _delta4->PRE_HEAP;
+		      }
 		      _unmatched = 0;
 		      _delta1->clear();
 		      _delta2->clear();
 		      _delta3->clear();
@@ -1729,59 +1729,59 @@
+		      }
 		      typename Graph::template NodeMap<bool> processed(_graph, false);
 		      for (NodeIt n(_graph); n != INVALID; ++n) {
 		        if (processed[n]) continue;
 		        processed[n] = true;
 		        if (_fractional->matching(n) == INVALID) continue;
 		        int num = 1;
 		        Node v = _graph.target(_fractional->matching(n));
 		        while (n != v) {
 		          processed[v] = true;
 		          v = _graph.target(_fractional->matching(v));
 		          ++num;
+		        }
 		        if (num % 2 == 1) {
 		          std::vector<int> subblossoms(num);
 		          subblossoms[--num] = _blossom_set->find(n);
 		          _delta1->push(n, _fractional->nodeValue(n));
 		          v = _graph.target(_fractional->matching(n));
 		          while (n != v) {
 		            subblossoms[--num] = _blossom_set->find(v);
 		            _delta1->push(v, _fractional->nodeValue(v));
-		            v = _graph.target(_fractional->matching(v));
 		            v = _graph.target(_fractional->matching(v));
+		          }
 		          int surface =
 		          int surface =
 		            _blossom_set->join(subblossoms.begin(), subblossoms.end());
 		          (*_blossom_data)[surface].status = EVEN;
 		          (*_blossom_data)[surface].pred = INVALID;
 		          (*_blossom_data)[surface].next = INVALID;
 		          (*_blossom_data)[surface].pot = 0;
 		          (*_blossom_data)[surface].offset = 0;
 		          _tree_set->insert(surface);
 		          ++_unmatched;
+		        }
+		      }
 		      for (EdgeIt e(_graph); e != INVALID; ++e) {
 		        int si = (*_node_index)[_graph.u(e)];
 		        int sb = _blossom_set->find(_graph.u(e));
 		        int ti = (*_node_index)[_graph.v(e)];
 		        int tb = _blossom_set->find(_graph.v(e));
 		        if ((*_blossom_data)[sb].status == EVEN &&
 		            (*_blossom_data)[tb].status == EVEN && sb != tb) {
 		          _delta3->push(e, ((*_node_data)[si].pot + (*_node_data)[ti].pot -
 		                            dualScale * _weight[e]) / 2);
+		        }
+		      }
 		      for (NodeIt n(_graph); n != INVALID; ++n) {
 		        int nb = _blossom_set->find(n);
 		        if ((*_blossom_data)[nb].status != MATCHED) continue;
 		        int ni = (*_node_index)[n];
 		        for (OutArcIt e(_graph, n); e != INVALID; ++e) {
 		          Node v = _graph.target(e);
@@ -1789,49 +1789,49 @@
 		          int vi = (*_node_index)[v];
 		          Value rw = (*_node_data)[ni].pot + (*_node_data)[vi].pot -
 		            dualScale * _weight[e];
 		          if ((*_blossom_data)[vb].status == EVEN) {
 		            int vt = _tree_set->find(vb);
 		            typename std::map<int, Arc>::iterator it =
 		              (*_node_data)[ni].heap_index.find(vt);
 		            if (it != (*_node_data)[ni].heap_index.end()) {
 		              if ((*_node_data)[ni].heap[it->second] > rw) {
 		                (*_node_data)[ni].heap.replace(it->second, e);
 		                (*_node_data)[ni].heap.decrease(e, rw);
 		                it->second = e;
+		              }
 		            } else {
 		              (*_node_data)[ni].heap.push(e, rw);
 		              (*_node_data)[ni].heap_index.insert(std::make_pair(vt, e));
+		            }
+		          }
+		        }
 		        if (!(*_node_data)[ni].heap.empty()) {
 		          _blossom_set->decrease(n, (*_node_data)[ni].heap.prio());
 		          _delta2->push(nb, _blossom_set->classPrio(nb));
+		        }
+		      }
+		    }
 		    /// \brief Start the algorithm
 		    ///
 		    /// This function starts the algorithm.
 		    ///
 		    /// \pre \ref init() or \ref fractionalInit() must be called
 		    /// before using this function.
 		    void start() {
 		      enum OpType {
 		        D1, D2, D3, D4
 		      };
 		      while (_unmatched > 0) {
 		        Value d1 = !_delta1->empty() ?
 		          _delta1->prio() : std::numeric_limits<Value>::max();
 		        Value d2 = !_delta2->empty() ?
 		          _delta2->prio() : std::numeric_limits<Value>::max();
@@ -2248,49 +2248,49 @@
 		      std::map<int, Arc> heap_index;
 		      int tree;
 		    };
 		    RangeMap<NodeData>* _node_data;
 		    typedef ExtendFindEnum<IntIntMap> TreeSet;
 		    IntIntMap *_tree_set_index;
 		    TreeSet *_tree_set;
 		    IntIntMap *_delta2_index;
 		    BinHeap<Value, IntIntMap> *_delta2;
 		    IntEdgeMap *_delta3_index;
 		    BinHeap<Value, IntEdgeMap> *_delta3;
 		    IntIntMap *_delta4_index;
 		    BinHeap<Value, IntIntMap> *_delta4;
 		    Value _delta_sum;
 		    int _unmatched;
-		    typedef MaxWeightedPerfectFractionalMatching<Graph, WeightMap>
 		    typedef MaxWeightedPerfectFractionalMatching<Graph, WeightMap>
 		    FractionalMatching;
 		    FractionalMatching *_fractional;
 		    void createStructures() {
 		      _node_num = countNodes(_graph);
 		      _blossom_num = _node_num * 3 / 2;
 		      if (!_matching) {
 		        _matching = new MatchingMap(_graph);
+		      }
 		      if (!_node_potential) {
 		        _node_potential = new NodePotential(_graph);
+		      }
 		      if (!_blossom_set) {
 		        _blossom_index = new IntNodeMap(_graph);
 		        _blossom_set = new BlossomSet(*_blossom_index);
 		        _blossom_data = new RangeMap<BlossomData>(_blossom_num);
 		      } else if (_blossom_data->size() != _blossom_num) {
 		        delete _blossom_data;
 		        _blossom_data = new RangeMap<BlossomData>(_blossom_num);
+		      }
@@ -3074,49 +3074,49 @@
 		        (*_blossom_data)[blossom].next = INVALID;
 		        (*_blossom_data)[blossom].pot = 0;
 		        (*_blossom_data)[blossom].offset = 0;
 		        ++index;
+		      }
 		      for (EdgeIt e(_graph); e != INVALID; ++e) {
 		        int si = (*_node_index)[_graph.u(e)];
 		        int ti = (*_node_index)[_graph.v(e)];
 		        if (_graph.u(e) != _graph.v(e)) {
 		          _delta3->push(e, ((*_node_data)[si].pot + (*_node_data)[ti].pot -
 		                            dualScale * _weight[e]) / 2);
+		        }
+		      }
+		    }
 		    /// \brief Initialize the algorithm with fractional matching
 		    ///
 		    /// This function initializes the algorithm with a fractional
 		    /// matching. This initialization is also called jumpstart heuristic.
 		    void fractionalInit() {
 		      createStructures();
 		      _blossom_node_list.clear();
 		      _blossom_potential.clear();
 		      if (_fractional == 0) {
 		        _fractional = new FractionalMatching(_graph, _weight, false);
+		      }
 		      if (!_fractional->run()) {
 		        _unmatched = -1;
 		        return;
+		      }
 		      for (ArcIt e(_graph); e != INVALID; ++e) {
 		        (*_node_heap_index)[e] = BinHeap<Value, IntArcMap>::PRE_HEAP;
+		      }
 		      for (EdgeIt e(_graph); e != INVALID; ++e) {
 		        (*_delta3_index)[e] = _delta3->PRE_HEAP;
+		      }
 		      for (int i = 0; i < _blossom_num; ++i) {
 		        (*_delta2_index)[i] = _delta2->PRE_HEAP;
 		        (*_delta4_index)[i] = _delta4->PRE_HEAP;
+		      }
 		      _unmatched = 0;
 		      _delta2->clear();
 		      _delta3->clear();
 		      _delta4->clear();
@@ -3140,59 +3140,59 @@
 		        (*_blossom_data)[blossom].offset = 0;
 		        ++index;
+		      }
 		      typename Graph::template NodeMap<bool> processed(_graph, false);
 		      for (NodeIt n(_graph); n != INVALID; ++n) {
 		        if (processed[n]) continue;
 		        processed[n] = true;
 		        if (_fractional->matching(n) == INVALID) continue;
 		        int num = 1;
 		        Node v = _graph.target(_fractional->matching(n));
 		        while (n != v) {
 		          processed[v] = true;
 		          v = _graph.target(_fractional->matching(v));
 		          ++num;
+		        }
 		        if (num % 2 == 1) {
 		          std::vector<int> subblossoms(num);
 		          subblossoms[--num] = _blossom_set->find(n);
 		          v = _graph.target(_fractional->matching(n));
 		          while (n != v) {
 		            subblossoms[--num] = _blossom_set->find(v);
-		            v = _graph.target(_fractional->matching(v));
 		            v = _graph.target(_fractional->matching(v));
+		          }
 		          int surface =
 		          int surface =
 		            _blossom_set->join(subblossoms.begin(), subblossoms.end());
 		          (*_blossom_data)[surface].status = EVEN;
 		          (*_blossom_data)[surface].pred = INVALID;
 		          (*_blossom_data)[surface].next = INVALID;
 		          (*_blossom_data)[surface].pot = 0;
 		          (*_blossom_data)[surface].offset = 0;
 		          _tree_set->insert(surface);
 		          ++_unmatched;
+		        }
+		      }
 		      for (EdgeIt e(_graph); e != INVALID; ++e) {
 		        int si = (*_node_index)[_graph.u(e)];
 		        int sb = _blossom_set->find(_graph.u(e));
 		        int ti = (*_node_index)[_graph.v(e)];
 		        int tb = _blossom_set->find(_graph.v(e));
 		        if ((*_blossom_data)[sb].status == EVEN &&
 		            (*_blossom_data)[tb].status == EVEN && sb != tb) {
 		          _delta3->push(e, ((*_node_data)[si].pot + (*_node_data)[ti].pot -
 		                            dualScale * _weight[e]) / 2);
+		        }
+		      }
 		      for (NodeIt n(_graph); n != INVALID; ++n) {
 		        int nb = _blossom_set->find(n);
 		        if ((*_blossom_data)[nb].status != MATCHED) continue;
 		        int ni = (*_node_index)[n];
 		        for (OutArcIt e(_graph, n); e != INVALID; ++e) {
 		          Node v = _graph.target(e);
@@ -3200,49 +3200,49 @@
 		          int vi = (*_node_index)[v];
 		          Value rw = (*_node_data)[ni].pot + (*_node_data)[vi].pot -
 		            dualScale * _weight[e];
 		          if ((*_blossom_data)[vb].status == EVEN) {
 		            int vt = _tree_set->find(vb);
 		            typename std::map<int, Arc>::iterator it =
 		              (*_node_data)[ni].heap_index.find(vt);
 		            if (it != (*_node_data)[ni].heap_index.end()) {
 		              if ((*_node_data)[ni].heap[it->second] > rw) {
 		                (*_node_data)[ni].heap.replace(it->second, e);
 		                (*_node_data)[ni].heap.decrease(e, rw);
 		                it->second = e;
+		              }
 		            } else {
 		              (*_node_data)[ni].heap.push(e, rw);
 		              (*_node_data)[ni].heap_index.insert(std::make_pair(vt, e));
+		            }
+		          }
+		        }
 		        if (!(*_node_data)[ni].heap.empty()) {
 		          _blossom_set->decrease(n, (*_node_data)[ni].heap.prio());
 		          _delta2->push(nb, _blossom_set->classPrio(nb));
+		        }
+		      }
+		    }
 		    /// \brief Start the algorithm
 		    ///
 		    /// This function starts the algorithm.
 		    ///
 		    /// \pre \ref init() or \ref fractionalInit() must be called before
 		    /// using this function.
 		    bool start() {
 		      enum OpType {
 		        D2, D3, D4
 		      };
 		      if (_unmatched == -1) return false;
 		      while (_unmatched > 0) {
 		        Value d2 = !_delta2->empty() ?
 		          _delta2->prio() : std::numeric_limits<Value>::max();

lemon/math.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_MATH_H
 		#define LEMON_MATH_H
 		///\ingroup misc
 		///\file
 		///\brief Some extensions to the standard \c cmath library.
 		///
 		///Some extensions to the standard \c cmath library.
 		///
 		///This file includes the standard math library (cmath).
@@ -35,38 +35,38 @@
 		  /// @{
 		  /// The Euler constant
 		  const long double E       = 2.7182818284590452353602874713526625L;
 		  /// log_2(e)
 		  const long double LOG2E   = 1.4426950408889634073599246810018921L;
 		  /// log_10(e)
 		  const long double LOG10E  = 0.4342944819032518276511289189166051L;
 		  /// ln(2)
 		  const long double LN2     = 0.6931471805599453094172321214581766L;
 		  /// ln(10)
 		  const long double LN10    = 2.3025850929940456840179914546843642L;
 		  /// pi
 		  const long double PI      = 3.1415926535897932384626433832795029L;
 		  /// pi/2
 		  const long double PI_2    = 1.5707963267948966192313216916397514L;
 		  /// pi/4
 		  const long double PI_4    = 0.7853981633974483096156608458198757L;
 		  /// sqrt(2)
 		  const long double SQRT2   = 1.4142135623730950488016887242096981L;
 		  /// 1/sqrt(2)
 		  const long double SQRT1_2 = 0.7071067811865475244008443621048490L;
 		  ///Check whether the parameter is NaN or not
 		  ///This function checks whether the parameter is NaN or not.
 		  ///Is should be equivalent with std::isnan(), but it is not
 		  ///provided by all compilers.
 		  inline bool isNaN(double v)
+		    {
 		      return v!=v;
+		    }
 		  /// @}
 		} //namespace lemon
 		#endif //LEMON_TOLERANCE_H

lemon/min_cost_arborescence.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2008
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_MIN_COST_ARBORESCENCE_H
 		#define LEMON_MIN_COST_ARBORESCENCE_H
 		///\ingroup spantree
 		///\file
 		///\brief Minimum Cost Arborescence algorithm.
 		#include <vector>
 		#include <lemon/list_graph.h>
 		#include <lemon/bin_heap.h>
@@ -107,50 +107,50 @@
 		  /// the optimality of the solution can be checked.
 		  ///
 		  /// \param GR The digraph type the algorithm runs on.
 		  /// \param CM A read-only arc map storing the costs of the
 		  /// arcs. It is read once for each arc, so the map may involve in
 		  /// relatively time consuming process to compute the arc costs if
 		  /// it is necessary. The default map type is \ref
 		  /// concepts::Digraph::ArcMap "Digraph::ArcMap<int>".
 		  /// \tparam TR The traits class that defines various types used by the
 		  /// algorithm. By default, it is \ref MinCostArborescenceDefaultTraits
 		  /// "MinCostArborescenceDefaultTraits<GR, CM>".
 		  /// In most cases, this parameter should not be set directly,
 		  /// consider to use the named template parameters instead.
 		#ifndef DOXYGEN
 		  template <typename GR,
 		            typename CM = typename GR::template ArcMap<int>,
 		            typename TR =
 		              MinCostArborescenceDefaultTraits<GR, CM> >
 		#else
 		  template <typename GR, typename CM, typename TR>
 		#endif
 		  class MinCostArborescence {
 		  public:
 		    /// \brief The \ref MinCostArborescenceDefaultTraits "traits class"
 		    /// of the algorithm.
 		    /// \brief The \ref MinCostArborescenceDefaultTraits "traits class"
 		    /// of the algorithm.
 		    typedef TR Traits;
 		    /// The type of the underlying digraph.
 		    typedef typename Traits::Digraph Digraph;
 		    /// The type of the map that stores the arc costs.
 		    typedef typename Traits::CostMap CostMap;
 		    ///The type of the costs of the arcs.
 		    typedef typename Traits::Value Value;
 		    ///The type of the predecessor map.
 		    typedef typename Traits::PredMap PredMap;
 		    ///The type of the map that stores which arcs are in the arborescence.
 		    typedef typename Traits::ArborescenceMap ArborescenceMap;
 		    typedef MinCostArborescence Create;
 		  private:
 		    TEMPLATE_DIGRAPH_TYPEDEFS(Digraph);
 		    struct CostArc {
 		      Arc arc;
 		      Value value;
 		      CostArc() {}
@@ -415,49 +415,49 @@
 		    /// and its value type must be \c bool (or convertible).
 		    /// Initially it will be set to \c false on each arc,
 		    /// then it will be set on each arborescence arc once.
 		    template <class T>
 		    struct SetArborescenceMap
 		      : public MinCostArborescence<Digraph, CostMap,
 		                                   SetArborescenceMapTraits<T> > {
 		    };
 		    template <class T>
 		    struct SetPredMapTraits : public Traits {
 		      typedef T PredMap;
 		      static PredMap *createPredMap(const Digraph &)
+		      {
 		        LEMON_ASSERT(false, "PredMap is not initialized");
 		        return 0; // ignore warnings
+		      }
 		    };
 		    /// \brief \ref named-templ-param "Named parameter" for
 		    /// setting \c PredMap type
 		    ///
 		    /// \ref named-templ-param "Named parameter" for setting
 		    /// \c PredMap type.
-		    /// It must meet the \ref concepts::WriteMap "WriteMap" concept,
 		    /// It must meet the \ref concepts::WriteMap "WriteMap" concept,
 		    /// and its value type must be the \c Arc type of the digraph.
 		    template <class T>
 		    struct SetPredMap
 		      : public MinCostArborescence<Digraph, CostMap, SetPredMapTraits<T> > {
 		    };
 		    /// @}
 		    /// \brief Constructor.
 		    ///
 		    /// \param digraph The digraph the algorithm will run on.
 		    /// \param cost The cost map used by the algorithm.
 		    MinCostArborescence(const Digraph& digraph, const CostMap& cost)
 		      : _digraph(&digraph), _cost(&cost), _pred(0), local_pred(false),
 		        _arborescence(0), local_arborescence(false),
 		        _arc_order(0), _node_order(0), _cost_arcs(0),
 		        _heap_cross_ref(0), _heap(0) {}
 		    /// \brief Destructor.
 		    ~MinCostArborescence() {
 		      destroyStructures();
+		    }
 		    /// \brief Sets the arborescence map.

lemon/network_simplex.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_NETWORK_SIMPLEX_H
 		#define LEMON_NETWORK_SIMPLEX_H
 		/// \ingroup min_cost_flow_algs
 		///
 		/// \file
 		/// \brief Network Simplex algorithm for finding a minimum cost flow.
 		#include <vector>
 		#include <limits>
 		#include <algorithm>
@@ -76,110 +76,110 @@
 		    /// The type of the flow amounts, capacity bounds and supply values
 		    typedef V Value;
 		    /// The type of the arc costs
 		    typedef C Cost;
 		  public:
 		    /// \brief Problem type constants for the \c run() function.
 		    ///
 		    /// Enum type containing the problem type constants that can be
 		    /// returned by the \ref run() function of the algorithm.
 		    enum ProblemType {
 		      /// The problem has no feasible solution (flow).
 		      INFEASIBLE,
 		      /// The problem has optimal solution (i.e. it is feasible and
 		      /// bounded), and the algorithm has found optimal flow and node
 		      /// potentials (primal and dual solutions).
 		      OPTIMAL,
 		      /// The objective function of the problem is unbounded, i.e.
 		      /// there is a directed cycle having negative total cost and
 		      /// infinite upper bound.
 		      UNBOUNDED
 		    };
 		    /// \brief Constants for selecting the type of the supply constraints.
 		    ///
 		    /// Enum type containing constants for selecting the supply type,
 		    /// i.e. the direction of the inequalities in the supply/demand
 		    /// constraints of the \ref min_cost_flow "minimum cost flow problem".
 		    ///
 		    /// The default supply type is \c GEQ, the \c LEQ type can be
 		    /// selected using \ref supplyType().
 		    /// The equality form is a special case of both supply types.
 		    enum SupplyType {
 		      /// This option means that there are <em>"greater or equal"</em>
 		      /// supply/demand constraints in the definition of the problem.
 		      GEQ,
 		      /// This option means that there are <em>"less or equal"</em>
 		      /// supply/demand constraints in the definition of the problem.
 		      LEQ
 		    };
 		    /// \brief Constants for selecting the pivot rule.
 		    ///
 		    /// Enum type containing constants for selecting the pivot rule for
 		    /// the \ref run() function.
 		    ///
 		    /// \ref NetworkSimplex provides five different pivot rule
 		    /// implementations that significantly affect the running time
 		    /// of the algorithm.
 		    /// By default, \ref BLOCK_SEARCH "Block Search" is used, which
 		    /// proved to be the most efficient and the most robust on various
 		    /// test inputs.
 		    /// However, another pivot rule can be selected using the \ref run()
 		    /// function with the proper parameter.
 		    enum PivotRule {
 		      /// The \e First \e Eligible pivot rule.
 		      /// The next eligible arc is selected in a wraparound fashion
 		      /// in every iteration.
 		      FIRST_ELIGIBLE,
 		      /// The \e Best \e Eligible pivot rule.
 		      /// The best eligible arc is selected in every iteration.
 		      BEST_ELIGIBLE,
 		      /// The \e Block \e Search pivot rule.
 		      /// A specified number of arcs are examined in every iteration
 		      /// in a wraparound fashion and the best eligible arc is selected
 		      /// from this block.
 		      BLOCK_SEARCH,
 		      /// The \e Candidate \e List pivot rule.
 		      /// In a major iteration a candidate list is built from eligible arcs
 		      /// in a wraparound fashion and in the following minor iterations
 		      /// the best eligible arc is selected from this list.
 		      CANDIDATE_LIST,
 		      /// The \e Altering \e Candidate \e List pivot rule.
 		      /// It is a modified version of the Candidate List method.
 		      /// It keeps only the several best eligible arcs from the former
 		      /// candidate list and extends this list in every iteration.
 		      ALTERING_LIST
 		    };
 		  private:
 		    TEMPLATE_DIGRAPH_TYPEDEFS(GR);
 		    typedef std::vector<int> IntVector;
 		    typedef std::vector<Value> ValueVector;
 		    typedef std::vector<Cost> CostVector;
 		    typedef std::vector<char> BoolVector;
 		    // Note: vector<char> is used instead of vector<bool> for efficiency reasons
 		    // State constants for arcs
 		    enum ArcState {
 		      STATE_UPPER = -1,
 		      STATE_TREE  =  0,
 		      STATE_LOWER =  1
 		    };
 		    typedef std::vector<signed char> StateVector;
 		    // Note: vector<signed char> is used instead of vector<ArcState> for
 		    // efficiency reasons
 		  private:
 		    // Data related to the underlying digraph
@@ -206,53 +206,53 @@
 		    ValueVector _upper;
 		    ValueVector _cap;
 		    CostVector _cost;
 		    ValueVector _supply;
 		    ValueVector _flow;
 		    CostVector _pi;
 		    // Data for storing the spanning tree structure
 		    IntVector _parent;
 		    IntVector _pred;
 		    IntVector _thread;
 		    IntVector _rev_thread;
 		    IntVector _succ_num;
 		    IntVector _last_succ;
 		    IntVector _dirty_revs;
 		    BoolVector _forward;
 		    StateVector _state;
 		    int _root;
 		    // Temporary data used in the current pivot iteration
 		    int in_arc, join, u_in, v_in, u_out, v_out;
 		    int first, second, right, last;
 		    int stem, par_stem, new_stem;
 		    Value delta;
 		    const Value MAX;
 		  public:
 		    /// \brief Constant for infinite upper bounds (capacities).
 		    ///
 		    /// Constant for infinite upper bounds (capacities).
 		    /// It is \c std::numeric_limits<Value>::infinity() if available,
 		    /// \c std::numeric_limits<Value>::max() otherwise.
 		    const Value INF;
 		  private:
 		    // Implementation of the First Eligible pivot rule
 		    class FirstEligiblePivotRule
+		    {
 		    private:
 		      // References to the NetworkSimplex class
 		      const IntVector  &_source;
 		      const IntVector  &_target;
 		      const CostVector &_cost;
 		      const StateVector &_state;
 		      const CostVector &_pi;
 		      int &_in_arc;
 		      int _search_arc_num;
 		      // Pivot rule data
@@ -477,50 +477,50 @@
 		        _curr_length = 0;
 		        for (e = _next_arc; e != _search_arc_num; ++e) {
 		          c = _state[e] * (_cost[e] + _pi[_source[e]] - _pi[_target[e]]);
 		          if (c < 0) {
 		            _candidates[_curr_length++] = e;
 		            if (c < min) {
 		              min = c;
 		              _in_arc = e;
+		            }
 		            if (_curr_length == _list_length) goto search_end;
+		          }
+		        }
 		        for (e = 0; e != _next_arc; ++e) {
 		          c = _state[e] * (_cost[e] + _pi[_source[e]] - _pi[_target[e]]);
 		          if (c < 0) {
 		            _candidates[_curr_length++] = e;
 		            if (c < min) {
 		              min = c;
 		              _in_arc = e;
+		            }
 		            if (_curr_length == _list_length) goto search_end;
+		          }
+		        }
 		        if (_curr_length == 0) return false;
 		      search_end:
 		      search_end:
 		        _minor_count = 1;
 		        _next_arc = e;
 		        return true;
+		      }
 		    }; //class CandidateListPivotRule
 		    // Implementation of the Altering Candidate List pivot rule
 		    class AlteringListPivotRule
+		    {
 		    private:
 		      // References to the NetworkSimplex class
 		      const IntVector  &_source;
 		      const IntVector  &_target;
 		      const CostVector &_cost;
 		      const StateVector &_state;
 		      const CostVector &_pi;
 		      int &_in_arc;
 		      int _search_arc_num;
 		      // Pivot rule data
 		      int _block_size, _head_length, _curr_length;
@@ -587,90 +587,90 @@
 		          _cand_cost[e] = _state[e] *
 		            (_cost[e] + _pi[_source[e]] - _pi[_target[e]]);
 		          if (_cand_cost[e] < 0) {
 		            _candidates[_curr_length++] = e;
+		          }
 		          if (--cnt == 0) {
 		            if (_curr_length > limit) goto search_end;
 		            limit = 0;
 		            cnt = _block_size;
+		          }
+		        }
 		        for (e = 0; e != _next_arc; ++e) {
 		          _cand_cost[e] = _state[e] *
 		            (_cost[e] + _pi[_source[e]] - _pi[_target[e]]);
 		          if (_cand_cost[e] < 0) {
 		            _candidates[_curr_length++] = e;
+		          }
 		          if (--cnt == 0) {
 		            if (_curr_length > limit) goto search_end;
 		            limit = 0;
 		            cnt = _block_size;
+		          }
+		        }
 		        if (_curr_length == 0) return false;
 		      search_end:
 		        // Make heap of the candidate list (approximating a partial sort)
 		        make_heap( _candidates.begin(), _candidates.begin() + _curr_length,
 		                   _sort_func );
 		        // Pop the first element of the heap
 		        _in_arc = _candidates[0];
 		        _next_arc = e;
 		        pop_heap( _candidates.begin(), _candidates.begin() + _curr_length,
 		                  _sort_func );
 		        _curr_length = std::min(_head_length, _curr_length - 1);
 		        return true;
+		      }
 		    }; //class AlteringListPivotRule
 		  public:
 		    /// \brief Constructor.
 		    ///
 		    /// The constructor of the class.
 		    ///
 		    /// \param graph The digraph the algorithm runs on.
 		    /// \param arc_mixing Indicate if the arcs have to be stored in a
-		    /// mixed order in the internal data structure.
 		    /// mixed order in the internal data structure.
 		    /// In special cases, it could lead to better overall performance,
 		    /// but it is usually slower. Therefore it is disabled by default.
 		    NetworkSimplex(const GR& graph, bool arc_mixing = false) :
 		      _graph(graph), _node_id(graph), _arc_id(graph),
 		      _arc_mixing(arc_mixing),
 		      MAX(std::numeric_limits<Value>::max()),
 		      INF(std::numeric_limits<Value>::has_infinity ?
 		          std::numeric_limits<Value>::infinity() : MAX)
+		    {
 		      // Check the number types
 		      LEMON_ASSERT(std::numeric_limits<Value>::is_signed,
 		        "The flow type of NetworkSimplex must be signed");
 		      LEMON_ASSERT(std::numeric_limits<Cost>::is_signed,
 		        "The cost type of NetworkSimplex must be signed");
 		      // Reset data structures
 		      reset();
+		    }
 		    /// \name Parameters
 		    /// The parameters of the algorithm can be specified using these
 		    /// functions.
 		    /// @{
 		    /// \brief Set the lower bounds on the arcs.
 		    ///
 		    /// This function sets the lower bounds on the arcs.
 		    /// If it is not used before calling \ref run(), the lower bounds
 		    /// will be set to zero on all arcs.
 		    ///
 		    /// \param map An arc map storing the lower bounds.
 		    /// Its \c Value type must be convertible to the \c Value type
 		    /// of the algorithm.
 		    ///
 		    /// \return <tt>(*this)</tt>
 		    template <typename LowerMap>
 		    NetworkSimplex& lowerMap(const LowerMap& map) {
 		      _have_lower = true;
@@ -742,75 +742,75 @@
 		    ///
 		    /// This function sets a single source node and a single target node
 		    /// and the required flow value.
 		    /// If neither this function nor \ref supplyMap() is used before
 		    /// calling \ref run(), the supply of each node will be set to zero.
 		    ///
 		    /// Using this function has the same effect as using \ref supplyMap()
 		    /// with such a map in which \c k is assigned to \c s, \c -k is
 		    /// assigned to \c t and all other nodes have zero supply value.
 		    ///
 		    /// \param s The source node.
 		    /// \param t The target node.
 		    /// \param k The required amount of flow from node \c s to node \c t
 		    /// (i.e. the supply of \c s and the demand of \c t).
 		    ///
 		    /// \return <tt>(*this)</tt>
 		    NetworkSimplex& stSupply(const Node& s, const Node& t, Value k) {
 		      for (int i = 0; i != _node_num; ++i) {
 		        _supply[i] = 0;
+		      }
 		      _supply[_node_id[s]] =  k;
 		      _supply[_node_id[t]] = -k;
 		      return *this;
+		    }
 		    /// \brief Set the type of the supply constraints.
 		    ///
 		    /// This function sets the type of the supply/demand constraints.
 		    /// If it is not used before calling \ref run(), the \ref GEQ supply
 		    /// type will be used.
 		    ///
 		    /// For more information, see \ref SupplyType.
 		    ///
 		    /// \return <tt>(*this)</tt>
 		    NetworkSimplex& supplyType(SupplyType supply_type) {
 		      _stype = supply_type;
 		      return *this;
+		    }
 		    /// @}
 		    /// \name Execution Control
 		    /// The algorithm can be executed using \ref run().
 		    /// @{
 		    /// \brief Run the algorithm.
 		    ///
 		    /// This function runs the algorithm.
 		    /// The paramters can be specified using functions \ref lowerMap(),
-		    /// \ref upperMap(), \ref costMap(), \ref supplyMap(), \ref stSupply(),
 		    /// \ref upperMap(), \ref costMap(), \ref supplyMap(), \ref stSupply(),
 		    /// \ref supplyType().
 		    /// For example,
 		    /// \code
 		    ///   NetworkSimplex<ListDigraph> ns(graph);
 		    ///   ns.lowerMap(lower).upperMap(upper).costMap(cost)
 		    ///     .supplyMap(sup).run();
 		    /// \endcode
 		    ///
 		    /// This function can be called more than once. All the given parameters
 		    /// are kept for the next call, unless \ref resetParams() or \ref reset()
 		    /// is used, thus only the modified parameters have to be set again.
 		    /// If the underlying digraph was also modified after the construction
 		    /// of the class (or the last \ref reset() call), then the \ref reset()
 		    /// function must be called.
 		    ///
 		    /// \param pivot_rule The pivot rule that will be used during the
 		    /// algorithm. For more information, see \ref PivotRule.
 		    ///
 		    /// \return \c INFEASIBLE if no feasible flow exists,
 		    /// \n \c OPTIMAL if the problem has optimal solution
 		    /// (i.e. it is feasible and bounded), and the algorithm has found
 		    /// optimal flow and node potentials (primal and dual solutions),
 		    /// \n \c UNBOUNDED if the objective function of the problem is
 		    /// unbounded, i.e. there is a directed cycle having negative total
@@ -923,54 +923,54 @@
 		      // Copy the graph
 		      int i = 0;
 		      for (NodeIt n(_graph); n != INVALID; ++n, ++i) {
 		        _node_id[n] = i;
+		      }
 		      if (_arc_mixing) {
 		        // Store the arcs in a mixed order
 		        int k = std::max(int(std::sqrt(double(_arc_num))), 10);
 		        int i = 0, j = 0;
 		        for (ArcIt a(_graph); a != INVALID; ++a) {
 		          _arc_id[a] = i;
 		          _source[i] = _node_id[_graph.source(a)];
 		          _target[i] = _node_id[_graph.target(a)];
 		          if ((i += k) >= _arc_num) i = ++j;
+		        }
 		      } else {
 		        // Store the arcs in the original order
 		        int i = 0;
 		        for (ArcIt a(_graph); a != INVALID; ++a, ++i) {
 		          _arc_id[a] = i;
 		          _source[i] = _node_id[_graph.source(a)];
 		          _target[i] = _node_id[_graph.target(a)];
+		        }
+		      }
 		      // Reset parameters
 		      resetParams();
 		      return *this;
+		    }
 		    /// @}
 		    /// \name Query Functions
 		    /// The results of the algorithm can be obtained using these
 		    /// functions.\n
 		    /// The \ref run() function must be called before using them.
 		    /// @{
 		    /// \brief Return the total cost of the found flow.
 		    ///
 		    /// This function returns the total cost of the found flow.
 		    /// Its complexity is O(e).
 		    ///
 		    /// \note The return type of the function can be specified as a
 		    /// template parameter. For example,
 		    /// \code
 		    ///   ns.totalCost<double>();
 		    /// \endcode
 		    /// It is useful if the total cost cannot be stored in the \c Cost
 		    /// type of the algorithm, which is the default return type of the
 		    /// function.
 		    ///
 		    /// \pre \ref run() must be called before using this function.
@@ -1068,49 +1068,49 @@
+		        }
 		      } else {
 		        for (int i = 0; i != _arc_num; ++i) {
 		          _cap[i] = _upper[i];
+		        }
+		      }
 		      // Initialize artifical cost
 		      Cost ART_COST;
 		      if (std::numeric_limits<Cost>::is_exact) {
 		        ART_COST = std::numeric_limits<Cost>::max() / 2 + 1;
 		      } else {
 		        ART_COST = std::numeric_limits<Cost>::min();
 		        for (int i = 0; i != _arc_num; ++i) {
 		          if (_cost[i] > ART_COST) ART_COST = _cost[i];
+		        }
 		        ART_COST = (ART_COST + 1) * _node_num;
+		      }
 		      // Initialize arc maps
 		      for (int i = 0; i != _arc_num; ++i) {
 		        _flow[i] = 0;
 		        _state[i] = STATE_LOWER;
+		      }
 		      // Set data for the artificial root node
 		      _root = _node_num;
 		      _parent[_root] = -1;
 		      _pred[_root] = -1;
 		      _thread[_root] = 0;
 		      _rev_thread[0] = _root;
 		      _succ_num[_root] = _node_num + 1;
 		      _last_succ[_root] = _root - 1;
 		      _supply[_root] = -_sum_supply;
 		      _pi[_root] = 0;
 		      // Add artificial arcs and initialize the spanning tree data structure
 		      if (_sum_supply == 0) {
 		        // EQ supply constraints
 		        _search_arc_num = _arc_num;
 		        _all_arc_num = _arc_num + _node_num;
 		        for (int u = 0, e = _arc_num; u != _node_num; ++u, ++e) {
 		          _parent[u] = _root;
 		          _pred[u] = e;
 		          _thread[u] = u + 1;
 		          _rev_thread[u + 1] = u;
 		          _succ_num[u] = 1;
 		          _last_succ[u] = u;
 		          _cap[e] = INF;
@@ -1242,49 +1242,49 @@
 		        second = _target[in_arc];
 		      } else {
 		        first  = _target[in_arc];
 		        second = _source[in_arc];
+		      }
 		      delta = _cap[in_arc];
 		      int result = 0;
 		      Value d;
 		      int e;
 		      // Search the cycle along the path form the first node to the root
 		      for (int u = first; u != join; u = _parent[u]) {
 		        e = _pred[u];
 		        d = _forward[u] ?
 		          _flow[e] : (_cap[e] >= MAX ? INF : _cap[e] - _flow[e]);
 		        if (d < delta) {
 		          delta = d;
 		          u_out = u;
 		          result = 1;
+		        }
+		      }
 		      // Search the cycle along the path form the second node to the root
 		      for (int u = second; u != join; u = _parent[u]) {
 		        e = _pred[u];
-		        d = _forward[u] ?
 		        d = _forward[u] ?
 		          (_cap[e] >= MAX ? INF : _cap[e] - _flow[e]) : _flow[e];
 		        if (d <= delta) {
 		          delta = d;
 		          u_out = u;
 		          result = 2;
+		        }
+		      }
 		      if (result == 1) {
 		        u_in = first;
 		        v_in = second;
 		      } else {
 		        u_in = second;
 		        v_in = first;
+		      }
 		      return result != 0;
+		    }
 		    // Change _flow and _state vectors
 		    void changeFlow(bool change) {
 		      // Augment along the cycle
 		      if (delta > 0) {
 		        Value val = _state[in_arc] * delta;
 		        _flow[in_arc] += val;
@@ -1546,66 +1546,66 @@
 		        case ALTERING_LIST:
 		          return start<AlteringListPivotRule>();
+		      }
 		      return INFEASIBLE; // avoid warning
+		    }
 		    template <typename PivotRuleImpl>
 		    ProblemType start() {
 		      PivotRuleImpl pivot(*this);
 		      // Perform heuristic initial pivots
 		      if (!initialPivots()) return UNBOUNDED;
 		      // Execute the Network Simplex algorithm
 		      while (pivot.findEnteringArc()) {
 		        findJoinNode();
 		        bool change = findLeavingArc();
 		        if (delta >= MAX) return UNBOUNDED;
 		        changeFlow(change);
 		        if (change) {
 		          updateTreeStructure();
 		          updatePotential();
+		        }
+		      }
 		      // Check feasibility
 		      for (int e = _search_arc_num; e != _all_arc_num; ++e) {
 		        if (_flow[e] != 0) return INFEASIBLE;
+		      }
 		      // Transform the solution and the supply map to the original form
 		      if (_have_lower) {
 		        for (int i = 0; i != _arc_num; ++i) {
 		          Value c = _lower[i];
 		          if (c != 0) {
 		            _flow[i] += c;
 		            _supply[_source[i]] += c;
 		            _supply[_target[i]] -= c;
+		          }
+		        }
+		      }
 		      // Shift potentials to meet the requirements of the GEQ/LEQ type
 		      // optimality conditions
 		      if (_sum_supply == 0) {
 		        if (_stype == GEQ) {
 		          Cost max_pot = std::numeric_limits<Cost>::min();
 		          for (int i = 0; i != _node_num; ++i) {
 		            if (_pi[i] > max_pot) max_pot = _pi[i];
+		          }
 		          if (max_pot > 0) {
 		            for (int i = 0; i != _node_num; ++i)
 		              _pi[i] -= max_pot;
+		          }
 		        } else {
 		          Cost min_pot = std::numeric_limits<Cost>::max();
 		          for (int i = 0; i != _node_num; ++i) {
 		            if (_pi[i] < min_pot) min_pot = _pi[i];
+		          }
 		          if (min_pot < 0) {
 		            for (int i = 0; i != _node_num; ++i)
 		              _pi[i] -= min_pot;
+		          }
+		        }
+		      }

lemon/path.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		///\ingroup paths
 		///\file
 		///\brief Classes for representing paths in digraphs.
 		///
 		#ifndef LEMON_PATH_H
 		#define LEMON_PATH_H
 		#include <vector>
 		#include <algorithm>
@@ -945,62 +945,62 @@
 		        to.clear();
 		        to.build(from);
+		      }
 		    };
 		    template <typename From, typename To,
 		              bool buildEnable = BuildTagIndicator<To>::value>
 		    struct PathCopySelectorBackward {
 		      static void copy(const From& from, To& to) {
 		        to.clear();
 		        for (typename From::RevArcIt it(from); it != INVALID; ++it) {
 		          to.addFront(it);
+		        }
+		      }
 		    };
 		    template <typename From, typename To>
 		    struct PathCopySelectorBackward<From, To, true> {
 		      static void copy(const From& from, To& to) {
 		        to.clear();
 		        to.buildRev(from);
+		      }
 		    };
 		    template <typename From, typename To,
 		              bool revEnable = RevPathTagIndicator<From>::value>
 		    struct PathCopySelector {
 		      static void copy(const From& from, To& to) {
 		        PathCopySelectorForward<From, To>::copy(from, to);
+		      }
+		      }
 		    };
 		    template <typename From, typename To>
 		    struct PathCopySelector<From, To, true> {
 		      static void copy(const From& from, To& to) {
 		        PathCopySelectorBackward<From, To>::copy(from, to);
+		      }
+		      }
 		    };
+		  }
 		  /// \brief Make a copy of a path.
 		  ///
 		  /// This function makes a copy of a path.
 		  template <typename From, typename To>
 		  void pathCopy(const From& from, To& to) {
 		    checkConcept<concepts::PathDumper<typename From::Digraph>, From>();
 		    _path_bits::PathCopySelector<From, To>::copy(from, to);
+		  }
 		  /// \brief Deprecated version of \ref pathCopy().
 		  ///
 		  /// Deprecated version of \ref pathCopy() (only for reverse compatibility).
 		  template <typename To, typename From>
 		  void copyPath(To& to, const From& from) {
 		    pathCopy(from, to);
+		  }
 		  /// \brief Check the consistency of a path.
 		  ///

lemon/planarity.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_PLANARITY_H
 		#define LEMON_PLANARITY_H
 		/// \ingroup planar
 		/// \file
 		/// \brief Planarity checking, embedding, drawing and coloring
 		#include <vector>
 		#include <list>
 		#include <lemon/dfs.h>
@@ -119,59 +119,59 @@
 		      bool inverted;
 		    };
 		    template <typename Graph>
 		    struct NodeDataNode<Graph, false> {
 		      int prev, next;
 		      int visited;
 		    };
 		    template <typename Graph>
 		    struct ChildListNode {
 		      typedef typename Graph::Node Node;
 		      Node first;
 		      Node prev, next;
 		    };
 		    template <typename Graph>
 		    struct ArcListNode {
 		      typename Graph::Arc prev, next;
 		    };
 		    template <typename Graph>
 		    class PlanarityChecking {
 		    private:
 		      TEMPLATE_GRAPH_TYPEDEFS(Graph);
 		      const Graph& _graph;
 		    private:
 		      typedef typename Graph::template NodeMap<Arc> PredMap;
 		      typedef typename Graph::template EdgeMap<bool> TreeMap;
 		      typedef typename Graph::template NodeMap<int> OrderMap;
 		      typedef std::vector<Node> OrderList;
 		      typedef typename Graph::template NodeMap<int> LowMap;
 		      typedef typename Graph::template NodeMap<int> AncestorMap;
 		      typedef _planarity_bits::NodeDataNode<Graph> NodeDataNode;
 		      typedef std::vector<NodeDataNode> NodeData;
 		      typedef _planarity_bits::ChildListNode<Graph> ChildListNode;
 		      typedef typename Graph::template NodeMap<ChildListNode> ChildLists;
 		      typedef typename Graph::template NodeMap<std::list<int> > MergeRoots;
 		      typedef typename Graph::template NodeMap<bool> EmbedArc;
 		    public:
 		      PlanarityChecking(const Graph& graph) : _graph(graph) {}
 		      bool run() {
 		        typedef _planarity_bits::PlanarityVisitor<Graph> Visitor;
 		        PredMap pred_map(_graph, INVALID);
@@ -200,49 +200,49 @@
 		        for (int i = order_list.size() - 1; i >= 0; --i) {
 		          Node node = order_list[i];
 		          Node source = node;
 		          for (OutArcIt e(_graph, node); e != INVALID; ++e) {
 		            Node target = _graph.target(e);
 		            if (order_map[source] < order_map[target] && tree_map[e]) {
 		              initFace(target, node_data, order_map, order_list);
+		            }
+		          }
 		          for (OutArcIt e(_graph, node); e != INVALID; ++e) {
 		            Node target = _graph.target(e);
 		            if (order_map[source] < order_map[target] && !tree_map[e]) {
 		              embed_arc[target] = true;
 		              walkUp(target, source, i, pred_map, low_map,
 		                     order_map, order_list, node_data, merge_roots);
+		            }
+		          }
 		          for (typename MergeRoots::Value::iterator it =
-		                 merge_roots[node].begin();
 		                 merge_roots[node].begin();
 		               it != merge_roots[node].end(); ++it) {
 		            int rn = *it;
 		            walkDown(rn, i, node_data, order_list, child_lists,
 		                     ancestor_map, low_map, embed_arc, merge_roots);
+		          }
 		          merge_roots[node].clear();
 		          for (OutArcIt e(_graph, node); e != INVALID; ++e) {
 		            Node target = _graph.target(e);
 		            if (order_map[source] < order_map[target] && !tree_map[e]) {
 		              if (embed_arc[target]) {
 		                return false;
+		              }
+		            }
+		          }
+		        }
 		        return true;
+		      }
 		    private:
 		      void createChildLists(const TreeMap& tree_map, const OrderMap& order_map,
@@ -411,49 +411,49 @@
 		              // Embedding arc into external face
 		              if (rd) node_data[rn].next = n; else node_data[rn].prev = n;
 		              if (d) node_data[n].prev = rn; else node_data[n].next = rn;
 		              pn = rn;
 		              embed_arc[order_list[n]] = false;
+		            }
 		            if (!merge_roots[node].empty()) {
 		              bool d = pn == node_data[n].prev;
 		              merge_stack.push_back(std::make_pair(n, d));
 		              int rn = merge_roots[node].front();
 		              int xn = node_data[rn].next;
 		              Node xnode = order_list[xn];
 		              int yn = node_data[rn].prev;
 		              Node ynode = order_list[yn];
 		              bool rd;
-		              if (!external(xnode, rorder, child_lists,
 		              if (!external(xnode, rorder, child_lists,
 		                            ancestor_map, low_map)) {
 		                rd = true;
 		              } else if (!external(ynode, rorder, child_lists,
 		                                   ancestor_map, low_map)) {
 		                rd = false;
 		              } else if (pertinent(xnode, embed_arc, merge_roots)) {
 		                rd = true;
 		              } else {
 		                rd = false;
+		              }
 		              merge_stack.push_back(std::make_pair(rn, rd));
 		              pn = rn;
 		              n = rd ? xn : yn;
 		            } else if (!external(node, rorder, child_lists,
 		                                 ancestor_map, low_map)) {
 		              int nn = (node_data[n].next != pn ?
 		                        node_data[n].next : node_data[n].prev);
 		              bool nd = n == node_data[nn].prev;
 		              if (nd) node_data[nn].prev = pn;

lemon/preflow.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_PREFLOW_H
 		#define LEMON_PREFLOW_H
 		#include <lemon/tolerance.h>
 		#include <lemon/elevator.h>
 		/// \file
 		/// \ingroup max_flow
 		/// \brief Implementation of the preflow algorithm.
 		namespace lemon {

lemon/smart_graph.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_SMART_GRAPH_H
 		#define LEMON_SMART_GRAPH_H
 		///\ingroup graphs
 		///\file
 		///\brief SmartDigraph and SmartGraph classes.
 		#include <vector>
 		#include <lemon/core.h>
 		#include <lemon/error.h>
@@ -165,49 +165,49 @@
+		    }
 		    void nextOut(Arc& arc) const {
 		      arc._id = arcs[arc._id].next_out;
+		    }
 		    void firstIn(Arc& arc, const Node& node) const {
 		      arc._id = nodes[node._id].first_in;
+		    }
 		    void nextIn(Arc& arc) const {
 		      arc._id = arcs[arc._id].next_in;
+		    }
 		  };
 		  typedef DigraphExtender<SmartDigraphBase> ExtendedSmartDigraphBase;
 		  ///\ingroup graphs
 		  ///
 		  ///\brief A smart directed graph class.
 		  ///
 		  ///\ref SmartDigraph is a simple and fast digraph implementation.
 		  ///It is also quite memory efficient but at the price
-		  ///that it does not support node and arc deletion
 		  ///that it does not support node and arc deletion
 		  ///(except for the Snapshot feature).
 		  ///
 		  ///This type fully conforms to the \ref concepts::Digraph "Digraph concept"
 		  ///and it also provides some additional functionalities.
 		  ///Most of its member functions and nested classes are documented
 		  ///only in the concept class.
 		  ///
 		  ///This class provides constant time counting for nodes and arcs.
 		  ///
 		  ///\sa concepts::Digraph
 		  ///\sa SmartGraph
 		  class SmartDigraph : public ExtendedSmartDigraphBase {
 		    typedef ExtendedSmartDigraphBase Parent;
 		  private:
 		    /// Digraphs are \e not copy constructible. Use DigraphCopy instead.
 		    SmartDigraph(const SmartDigraph &) : ExtendedSmartDigraphBase() {};
 		    /// \brief Assignment of a digraph to another one is \e not allowed.
 		    /// Use DigraphCopy instead.
 		    void operator=(const SmartDigraph &) {}
 		  public:
 		    /// Constructor
@@ -314,49 +314,49 @@
 		      while(s.arc_num<arcs.size()) {
 		        Arc arc = arcFromId(arcs.size()-1);
 		        Parent::notifier(Arc()).erase(arc);
 		        nodes[arcs.back().source].first_out=arcs.back().next_out;
 		        nodes[arcs.back().target].first_in=arcs.back().next_in;
 		        arcs.pop_back();
+		      }
 		      while(s.node_num<nodes.size()) {
 		        Node node = nodeFromId(nodes.size()-1);
 		        Parent::notifier(Node()).erase(node);
 		        nodes.pop_back();
+		      }
+		    }
 		  public:
 		    ///Class to make a snapshot of the digraph and to restore it later.
 		    ///Class to make a snapshot of the digraph and to restore it later.
 		    ///
 		    ///The newly added nodes and arcs can be removed using the
 		    ///restore() function. This is the only way for deleting nodes and/or
 		    ///arcs from a SmartDigraph structure.
 		    ///
-		    ///\note After a state is restored, you cannot restore a later state,
 		    ///\note After a state is restored, you cannot restore a later state,
 		    ///i.e. you cannot add the removed nodes and arcs again using
 		    ///another Snapshot instance.
 		    ///
 		    ///\warning Node splitting cannot be restored.
 		    ///\warning The validity of the snapshot is not stored due to
 		    ///performance reasons. If you do not use the snapshot correctly,
 		    ///it can cause broken program, invalid or not restored state of
 		    ///the digraph or no change.
 		    class Snapshot
+		    {
 		      SmartDigraph *_graph;
 		    protected:
 		      friend class SmartDigraph;
 		      unsigned int node_num;
 		      unsigned int arc_num;
 		    public:
 		      ///Default constructor.
 		      ///Default constructor.
 		      ///You have to call save() to actually make a snapshot.
 		      Snapshot() : _graph(0) {}
 		      ///Constructor that immediately makes a snapshot
 		      ///This constructor immediately makes a snapshot of the given digraph.
@@ -593,49 +593,49 @@
 		      arcs[n].next_out = nodes[v._id].first_out;
 		      nodes[v._id].first_out = n;
 		      arcs[n | 1].next_out = nodes[u._id].first_out;
 		      nodes[u._id].first_out = (n | 1);
 		      return Edge(n / 2);
+		    }
 		    void clear() {
 		      arcs.clear();
 		      nodes.clear();
+		    }
 		  };
 		  typedef GraphExtender<SmartGraphBase> ExtendedSmartGraphBase;
 		  /// \ingroup graphs
 		  ///
 		  /// \brief A smart undirected graph class.
 		  ///
 		  /// \ref SmartGraph is a simple and fast graph implementation.
 		  /// It is also quite memory efficient but at the price
-		  /// that it does not support node and edge deletion
 		  /// that it does not support node and edge deletion
 		  /// (except for the Snapshot feature).
 		  ///
 		  /// This type fully conforms to the \ref concepts::Graph "Graph concept"
 		  /// and it also provides some additional functionalities.
 		  /// Most of its member functions and nested classes are documented
 		  /// only in the concept class.
 		  ///
 		  /// This class provides constant time counting for nodes, edges and arcs.
 		  ///
 		  /// \sa concepts::Graph
 		  /// \sa SmartDigraph
 		  class SmartGraph : public ExtendedSmartGraphBase {
 		    typedef ExtendedSmartGraphBase Parent;
 		  private:
 		    /// Graphs are \e not copy constructible. Use GraphCopy instead.
 		    SmartGraph(const SmartGraph &) : ExtendedSmartGraphBase() {};
 		    /// \brief Assignment of a graph to another one is \e not allowed.
 		    /// Use GraphCopy instead.
 		    void operator=(const SmartGraph &) {}
 		  public:
 		    /// Constructor
@@ -740,49 +740,49 @@
 		        Parent::notifier(Arc()).erase(dir);
 		        nodes[arcs[n-1].target].first_out=arcs[n].next_out;
 		        nodes[arcs[n].target].first_out=arcs[n-1].next_out;
 		        arcs.pop_back();
 		        arcs.pop_back();
+		      }
 		      while(s.node_num<nodes.size()) {
 		        int n=nodes.size()-1;
 		        Node node = nodeFromId(n);
 		        Parent::notifier(Node()).erase(node);
 		        nodes.pop_back();
+		      }
+		    }
 		  public:
 		    ///Class to make a snapshot of the graph and to restore it later.
 		    ///Class to make a snapshot of the graph and to restore it later.
 		    ///
 		    ///The newly added nodes and edges can be removed using the
 		    ///restore() function. This is the only way for deleting nodes and/or
 		    ///edges from a SmartGraph structure.
 		    ///
-		    ///\note After a state is restored, you cannot restore a later state,
 		    ///\note After a state is restored, you cannot restore a later state,
 		    ///i.e. you cannot add the removed nodes and edges again using
 		    ///another Snapshot instance.
 		    ///
 		    ///\warning The validity of the snapshot is not stored due to
 		    ///performance reasons. If you do not use the snapshot correctly,
 		    ///it can cause broken program, invalid or not restored state of
 		    ///the graph or no change.
 		    class Snapshot
+		    {
 		      SmartGraph *_graph;
 		    protected:
 		      friend class SmartGraph;
 		      unsigned int node_num;
 		      unsigned int arc_num;
 		    public:
 		      ///Default constructor.
 		      ///Default constructor.
 		      ///You have to call save() to actually make a snapshot.
 		      Snapshot() : _graph(0) {}
 		      ///Constructor that immediately makes a snapshot
 		      /// This constructor immediately makes a snapshot of the given graph.
 		      ///

lemon/soplex.cc

Show inline comments

/* -*- mode: C++; indent-tabs-mode: nil; -*-
 *
 * This file is a part of LEMON, a generic C++ optimization library.
 *
 * Copyright (C) 2003-2008
 * Copyright (C) 2003-2010
 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 * (Egervary Research Group on Combinatorial Optimization, EGRES).
 *
 * Permission to use, modify and distribute this software is granted
 * provided that this copyright notice appears in all copies. For
 * precise terms see the accompanying LICENSE file.
 *
 * This software is provided "AS IS" with no warranty of any kind,
 * express or implied, and with no claim as to its suitability for any
 * purpose.
 *
 */

#include <iostream>
#include <lemon/soplex.h>

#include <soplex.h>
#include <spxout.h>


///\file
///\brief Implementation of the LEMON-SOPLEX lp solver interface.
namespace lemon {

@@ -266,49 +266,49 @@
    }
  }

  void SoplexLp::_getObjCoeffs(InsertIterator b) const {
    for (int j = 0; j < soplex->nCols(); ++j) {
      Value coef = soplex->obj(j);
      if (coef != 0.0) {
        *b = std::make_pair(j, coef);
        ++b;
      }
    }
  }

  void SoplexLp::_setObjCoeff(int i, Value obj_coef) {
    soplex->changeObj(i, obj_coef);
  }

  SoplexLp::Value SoplexLp::_getObjCoeff(int i) const {
    return soplex->obj(i);
  }

  SoplexLp::SolveExitStatus SoplexLp::_solve() {

    _clear_temporals();
    

    _applyMessageLevel();

    soplex::SPxSolver::Status status = soplex->solve();

    switch (status) {
    case soplex::SPxSolver::OPTIMAL:
    case soplex::SPxSolver::INFEASIBLE:
    case soplex::SPxSolver::UNBOUNDED:
      return SOLVED;
    default:
      return UNSOLVED;
    }
  }

  SoplexLp::Value SoplexLp::_getPrimal(int i) const {
    if (_primal_values.empty()) {
      _primal_values.resize(soplex->nCols());
      soplex::Vector pv(_primal_values.size(), &_primal_values.front());
      soplex->getPrimal(pv);
    }
    return _primal_values[i];
  }

  SoplexLp::Value SoplexLp::_getDual(int i) const {

lemon/soplex.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2008
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_SOPLEX_H
 		#define LEMON_SOPLEX_H
 		///\file
 		///\brief Header of the LEMON-SOPLEX lp solver interface.
 		#include <vector>
 		#include <string>
 		#include <lemon/lp_base.h>

lemon/static_graph.h

Show inline comments

 		/* -*- C++ -*-
+		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library
+		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2008
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_STATIC_GRAPH_H
 		#define LEMON_STATIC_GRAPH_H
 		///\ingroup graphs
 		///\file
 		///\brief StaticDigraph class.
 		#include <lemon/core.h>
 		#include <lemon/bits/graph_extender.h>
 		namespace lemon {
 		  class StaticDigraphBase {
 		  public:
 		    StaticDigraphBase()
 		      : built(false), node_num(0), arc_num(0),
 		    StaticDigraphBase()
 		      : built(false), node_num(0), arc_num(0),
 		        node_first_out(NULL), node_first_in(NULL),
-		        arc_source(NULL), arc_target(NULL),
 		        arc_source(NULL), arc_target(NULL),
 		        arc_next_in(NULL), arc_next_out(NULL) {}
 		    ~StaticDigraphBase() {
 		      if (built) {
 		        delete[] node_first_out;
 		        delete[] node_first_in;
 		        delete[] arc_source;
 		        delete[] arc_target;
 		        delete[] arc_next_out;
 		        delete[] arc_next_in;
+		      }
+		    }
 		    class Node {
 		      friend class StaticDigraphBase;
 		    protected:
 		      int id;
 		      Node(int _id) : id(_id) {}
 		    public:
 		      Node() {}
 		      Node (Invalid) : id(-1) {}
 		      bool operator==(const Node& node) const { return id == node.id; }
 		      bool operator!=(const Node& node) const { return id != node.id; }
 		      bool operator<(const Node& node) const { return id < node.id; }
 		    };
 		    class Arc {
-		      friend class StaticDigraphBase;
 		      friend class StaticDigraphBase;
 		    protected:
 		      int id;
 		      Arc(int _id) : id(_id) {}
 		    public:
 		      Arc() { }
 		      Arc (Invalid) : id(-1) {}
 		      bool operator==(const Arc& arc) const { return id == arc.id; }
 		      bool operator!=(const Arc& arc) const { return id != arc.id; }
 		      bool operator<(const Arc& arc) const { return id < arc.id; }
 		    };
 		    Node source(const Arc& e) const { return Node(arc_source[e.id]); }
 		    Node target(const Arc& e) const { return Node(arc_target[e.id]); }
 		    void first(Node& n) const { n.id = node_num - 1; }
 		    static void next(Node& n) { --n.id; }
 		    void first(Arc& e) const { e.id = arc_num - 1; }
 		    static void next(Arc& e) { --e.id; }
 		    void firstOut(Arc& e, const Node& n) const {
 		      e.id = node_first_out[n.id] != node_first_out[n.id + 1] ?
 		    void firstOut(Arc& e, const Node& n) const {
 		      e.id = node_first_out[n.id] != node_first_out[n.id + 1] ?
 		        node_first_out[n.id] : -1;
+		    }
 		    void nextOut(Arc& e) const { e.id = arc_next_out[e.id]; }
 		    void firstIn(Arc& e, const Node& n) const { e.id = node_first_in[n.id]; }
 		    void nextIn(Arc& e) const { e.id = arc_next_in[e.id]; }
 		    static int id(const Node& n) { return n.id; }
 		    static Node nodeFromId(int id) { return Node(id); }
 		    int maxNodeId() const { return node_num - 1; }
 		    static int id(const Arc& e) { return e.id; }
 		    static Arc arcFromId(int id) { return Arc(id); }
 		    int maxArcId() const { return arc_num - 1; }
 		    typedef True NodeNumTag;
 		    typedef True ArcNumTag;
 		    int nodeNum() const { return node_num; }
 		    int arcNum() const { return arc_num; }
 		  private:
 		    template <typename Digraph, typename NodeRefMap>
 		    class ArcLess {
 		    public:
 		      typedef typename Digraph::Arc Arc;
-		      ArcLess(const Digraph &_graph, const NodeRefMap& _nodeRef)
 		      ArcLess(const Digraph &_graph, const NodeRefMap& _nodeRef)
 		        : digraph(_graph), nodeRef(_nodeRef) {}
 		      bool operator()(const Arc& left, const Arc& right) const {
-			return nodeRef[digraph.target(left)] < nodeRef[digraph.target(right)];
+		        return nodeRef[digraph.target(left)] < nodeRef[digraph.target(right)];
+		      }
 		    private:
 		      const Digraph& digraph;
 		      const NodeRefMap& nodeRef;
 		    };
 		  public:
 		    typedef True BuildTag;
 		    void clear() {
 		      if (built) {
 		        delete[] node_first_out;
 		        delete[] node_first_in;
 		        delete[] arc_source;
 		        delete[] arc_target;
 		        delete[] arc_next_out;
 		        delete[] arc_next_in;
+		      }
 		      built = false;
 		      node_num = 0;
 		      arc_num = 0;
+		    }
 		    template <typename Digraph, typename NodeRefMap, typename ArcRefMap>
 		    void build(const Digraph& digraph, NodeRefMap& nodeRef, ArcRefMap& arcRef) {
 		      typedef typename Digraph::Node GNode;
 		      typedef typename Digraph::Arc GArc;
 		      built = true;
 		      node_num = countNodes(digraph);
 		      arc_num = countArcs(digraph);
 		      node_first_out = new int[node_num + 1];
 		      node_first_in = new int[node_num];
 		      arc_source = new int[arc_num];
 		      arc_target = new int[arc_num];
 		      arc_next_out = new int[arc_num];
 		      arc_next_in = new int[arc_num];
 		      int node_index = 0;
 		      for (typename Digraph::NodeIt n(digraph); n != INVALID; ++n) {
 		        nodeRef[n] = Node(node_index);
 		        node_first_in[node_index] = -1;
 		        ++node_index;
+		      }
 		      ArcLess<Digraph, NodeRefMap> arcLess(digraph, nodeRef);
 		      int arc_index = 0;
 		      for (typename Digraph::NodeIt n(digraph); n != INVALID; ++n) {
 		        int source = nodeRef[n].id;
 		        std::vector<GArc> arcs;
 		        for (typename Digraph::OutArcIt e(digraph, n); e != INVALID; ++e) {
 		          arcs.push_back(e);
+		        }
 		        if (!arcs.empty()) {
 		          node_first_out[source] = arc_index;
 		          std::sort(arcs.begin(), arcs.end(), arcLess);
 		          for (typename std::vector<GArc>::iterator it = arcs.begin();
 		               it != arcs.end(); ++it) {
 		            int target = nodeRef[digraph.target(*it)].id;
 		            arcRef[*it] = Arc(arc_index);
-		            arc_source[arc_index] = source;
 		            arc_source[arc_index] = source;
 		            arc_target[arc_index] = target;
 		            arc_next_in[arc_index] = node_first_in[target];
 		            node_first_in[target] = arc_index;
 		            arc_next_out[arc_index] = arc_index + 1;
 		            ++arc_index;
+		          }
 		          arc_next_out[arc_index - 1] = -1;
 		        } else {
 		          node_first_out[source] = arc_index;
+		        }
+		      }
 		      node_first_out[node_num] = arc_num;
+		    }
 		    template <typename ArcListIterator>
 		    void build(int n, ArcListIterator first, ArcListIterator last) {
 		      built = true;
 		      node_num = n;
 		      arc_num = std::distance(first, last);
 		      node_first_out = new int[node_num + 1];
 		      node_first_in = new int[node_num];
 		      arc_source = new int[arc_num];
 		      arc_target = new int[arc_num];
 		      arc_next_out = new int[arc_num];
 		      arc_next_in = new int[arc_num];
 		      for (int i = 0; i != node_num; ++i) {
 		        node_first_in[i] = -1;
+		      }
+		      }
 		      int arc_index = 0;
 		      for (int i = 0; i != node_num; ++i) {
 		        node_first_out[i] = arc_index;
 		        for ( ; first != last && (*first).first == i; ++first) {
 		          int j = (*first).second;
 		          LEMON_ASSERT(j >= 0 && j < node_num,
 		            "Wrong arc list for StaticDigraph::build()");
 		          arc_source[arc_index] = i;
 		          arc_target[arc_index] = j;
 		          arc_next_in[arc_index] = node_first_in[j];
 		          node_first_in[j] = arc_index;
 		          arc_next_out[arc_index] = arc_index + 1;
 		          ++arc_index;
+		        }
 		        if (arc_index > node_first_out[i])
 		          arc_next_out[arc_index - 1] = -1;
+		      }
 		      LEMON_ASSERT(first == last,
 		        "Wrong arc list for StaticDigraph::build()");
 		      node_first_out[node_num] = arc_num;
+		    }
 		  protected:
@@ -261,137 +261,137 @@
 		    int *arc_source;
 		    int *arc_target;
 		    int *arc_next_in;
 		    int *arc_next_out;
 		  };
 		  typedef DigraphExtender<StaticDigraphBase> ExtendedStaticDigraphBase;
 		  /// \ingroup graphs
 		  ///
 		  /// \brief A static directed graph class.
 		  ///
 		  /// \ref StaticDigraph is a highly efficient digraph implementation,
 		  /// but it is fully static.
 		  /// It stores only two \c int values for each node and only four \c int
 		  /// values for each arc. Moreover it provides faster item iteration than
 		  /// \ref ListDigraph and \ref SmartDigraph, especially using \c OutArcIt
 		  /// iterators, since its arcs are stored in an appropriate order.
 		  /// However it only provides build() and clear() functions and does not
 		  /// support any other modification of the digraph.
 		  ///
 		  /// Since this digraph structure is completely static, its nodes and arcs
 		  /// can be indexed with integers from the ranges <tt>[0..nodeNum()-1]</tt>
-		  /// and <tt>[0..arcNum()-1]</tt>, respectively.
 		  /// and <tt>[0..arcNum()-1]</tt>, respectively.
 		  /// The index of an item is the same as its ID, it can be obtained
 		  /// using the corresponding \ref index() or \ref concepts::Digraph::id()
 		  /// "id()" function. A node or arc with a certain index can be obtained
 		  /// using node() or arc().
 		  ///
 		  /// This type fully conforms to the \ref concepts::Digraph "Digraph concept".
 		  /// Most of its member functions and nested classes are documented
 		  /// only in the concept class.
 		  ///
 		  /// This class provides constant time counting for nodes and arcs.
 		  ///
 		  /// \sa concepts::Digraph
 		  class StaticDigraph : public ExtendedStaticDigraphBase {
 		  public:
 		    typedef ExtendedStaticDigraphBase Parent;
 		  public:
 		    /// \brief Constructor
 		    ///
 		    /// Default constructor.
 		    StaticDigraph() : Parent() {}
 		    /// \brief The node with the given index.
 		    ///
 		    /// This function returns the node with the given index.
 		    /// \sa index()
 		    static Node node(int ix) { return Parent::nodeFromId(ix); }
 		    /// \brief The arc with the given index.
 		    ///
 		    /// This function returns the arc with the given index.
 		    /// \sa index()
 		    static Arc arc(int ix) { return Parent::arcFromId(ix); }
 		    /// \brief The index of the given node.
 		    ///
 		    /// This function returns the index of the the given node.
 		    /// \sa node()
 		    static int index(Node node) { return Parent::id(node); }
 		    /// \brief The index of the given arc.
 		    ///
 		    /// This function returns the index of the the given arc.
 		    /// \sa arc()
 		    static int index(Arc arc) { return Parent::id(arc); }
 		    /// \brief Number of nodes.
 		    ///
 		    /// This function returns the number of nodes.
 		    int nodeNum() const { return node_num; }
 		    /// \brief Number of arcs.
 		    ///
 		    /// This function returns the number of arcs.
 		    int arcNum() const { return arc_num; }
 		    /// \brief Build the digraph copying another digraph.
 		    ///
 		    /// This function builds the digraph copying another digraph of any
 		    /// kind. It can be called more than once, but in such case, the whole
 		    /// structure and all maps will be cleared and rebuilt.
 		    ///
 		    /// This method also makes possible to copy a digraph to a StaticDigraph
 		    /// structure using \ref DigraphCopy.
-		    ///
 		    ///
 		    /// \param digraph An existing digraph to be copied.
 		    /// \param nodeRef The node references will be copied into this map.
 		    /// Its key type must be \c Digraph::Node and its value type must be
 		    /// \c StaticDigraph::Node.
 		    /// It must conform to the \ref concepts::ReadWriteMap "ReadWriteMap"
 		    /// concept.
 		    /// \param arcRef The arc references will be copied into this map.
 		    /// Its key type must be \c Digraph::Arc and its value type must be
 		    /// \c StaticDigraph::Arc.
 		    /// It must conform to the \ref concepts::WriteMap "WriteMap" concept.
 		    ///
 		    /// \note If you do not need the arc references, then you could use
 		    /// \ref NullMap for the last parameter. However the node references
 		    /// are required by the function itself, thus they must be readable
 		    /// from the map.
 		    template <typename Digraph, typename NodeRefMap, typename ArcRefMap>
 		    void build(const Digraph& digraph, NodeRefMap& nodeRef, ArcRefMap& arcRef) {
 		      if (built) Parent::clear();
 		      Parent::build(digraph, nodeRef, arcRef);
+		    }
 		    /// \brief Build the digraph from an arc list.
 		    ///
 		    /// This function builds the digraph from the given arc list.
 		    /// It can be called more than once, but in such case, the whole
 		    /// structure and all maps will be cleared and rebuilt.
 		    ///
 		    /// The list of the arcs must be given in the range <tt>[begin, end)</tt>
 		    /// specified by STL compatible itartors whose \c value_type must be
 		    /// <tt>std::pair<int,int></tt>.
 		    /// Each arc must be specified by a pair of integer indices
 		    /// from the range <tt>[0..n-1]</tt>. <i>The pairs must be in a
 		    /// non-decreasing order with respect to their first values.</i>
 		    /// If the k-th pair in the list is <tt>(i,j)</tt>, then
 		    /// <tt>arc(k-1)</tt> will connect <tt>node(i)</tt> to <tt>node(j)</tt>.
 		    ///
 		    /// \param n The number of nodes.
 		    /// \param begin An iterator pointing to the beginning of the arc list.
 		    /// \param end An iterator pointing to the end of the arc list.
 		    ///
 		    /// For example, a simple digraph can be constructed like this.
 		    /// \code
 		    ///   std::vector<std::pair<int,int> > arcs;
 		    ///   arcs.push_back(std::make_pair(0,1));
 		    ///   arcs.push_back(std::make_pair(0,2));
@@ -400,74 +400,74 @@
 		    ///   arcs.push_back(std::make_pair(3,0));
 		    ///   StaticDigraph gr;
 		    ///   gr.build(4, arcs.begin(), arcs.end());
 		    /// \endcode
 		    template <typename ArcListIterator>
 		    void build(int n, ArcListIterator begin, ArcListIterator end) {
 		      if (built) Parent::clear();
 		      StaticDigraphBase::build(n, begin, end);
 		      notifier(Node()).build();
 		      notifier(Arc()).build();
+		    }
 		    /// \brief Clear the digraph.
 		    ///
 		    /// This function erases all nodes and arcs from the digraph.
 		    void clear() {
 		      Parent::clear();
+		    }
 		  protected:
 		    using Parent::fastFirstOut;
 		    using Parent::fastNextOut;
 		    using Parent::fastLastOut;
 		  public:
 		    class OutArcIt : public Arc {
 		    public:
 		      OutArcIt() { }
 		      OutArcIt(Invalid i) : Arc(i) { }
 		      OutArcIt(const StaticDigraph& digraph, const Node& node) {
 			digraph.fastFirstOut(*this, node);
 			digraph.fastLastOut(last, node);
 		        digraph.fastFirstOut(*this, node);
 		        digraph.fastLastOut(last, node);
 		        if (last == *this) *this = INVALID;
+		      }
 		      OutArcIt(const StaticDigraph& digraph, const Arc& arc) : Arc(arc) {
 		        if (arc != INVALID) {
 		          digraph.fastLastOut(last, digraph.source(arc));
+		        }
+		      }
-		      OutArcIt& operator++() {
 		      OutArcIt& operator++() {
 		        StaticDigraph::fastNextOut(*this);
 		        if (last == *this) *this = INVALID;
-		        return *this;
 		        return *this;
+		      }
 		    private:
 		      Arc last;
 		    };
 		    Node baseNode(const OutArcIt &arc) const {
 		      return Parent::source(static_cast<const Arc&>(arc));
+		    }
 		    Node runningNode(const OutArcIt &arc) const {
 		      return Parent::target(static_cast<const Arc&>(arc));
+		    }
 		    Node baseNode(const InArcIt &arc) const {
 		      return Parent::target(static_cast<const Arc&>(arc));
+		    }
 		    Node runningNode(const InArcIt &arc) const {
 		      return Parent::source(static_cast<const Arc&>(arc));
+		    }
 		  };

lemon/suurballe.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_SUURBALLE_H
 		#define LEMON_SUURBALLE_H
 		///\ingroup shortest_path
 		///\file
 		///\brief An algorithm for finding arc-disjoint paths between two
 		/// nodes having minimum total length.
 		#include <vector>
 		#include <limits>
 		#include <lemon/bin_heap.h>
@@ -44,49 +44,49 @@
 		  template <typename GR, typename LEN>
 		#else
 		  template < typename GR,
 		             typename LEN = typename GR::template ArcMap<int> >
 		#endif
 		  struct SuurballeDefaultTraits
+		  {
 		    /// The type of the digraph.
 		    typedef GR Digraph;
 		    /// The type of the length map.
 		    typedef LEN LengthMap;
 		    /// The type of the lengths.
 		    typedef typename LEN::Value Length;
 		    /// The type of the flow map.
 		    typedef typename GR::template ArcMap<int> FlowMap;
 		    /// The type of the potential map.
 		    typedef typename GR::template NodeMap<Length> PotentialMap;
 		    /// \brief The path type
 		    ///
 		    /// The type used for storing the found arc-disjoint paths.
 		    /// It must conform to the \ref lemon::concepts::Path "Path" concept
 		    /// and it must have an \c addBack() function.
 		    typedef lemon::Path<Digraph> Path;
 		    /// The cross reference type used for the heap.
 		    typedef typename GR::template NodeMap<int> HeapCrossRef;
 		    /// \brief The heap type used for internal Dijkstra computations.
 		    ///
 		    /// The type of the heap used for internal Dijkstra computations.
 		    /// It must conform to the \ref lemon::concepts::Heap "Heap" concept
 		    /// and its priority type must be \c Length.
 		    typedef BinHeap<Length, HeapCrossRef> Heap;
 		  };
 		  /// \addtogroup shortest_path
 		  /// @{
 		  /// \brief Algorithm for finding arc-disjoint paths between two nodes
 		  /// having minimum total length.
 		  ///
 		  /// \ref lemon::Suurballe "Suurballe" implements an algorithm for
 		  /// finding arc-disjoint paths having minimum total length (cost)
 		  /// from a given source node to a given target node in a digraph.
 		  ///
 		  /// Note that this problem is a special case of the \ref min_cost_flow
 		  /// "minimum cost flow problem". This implementation is actually an
 		  /// efficient specialized version of the \ref CapacityScaling
@@ -137,68 +137,68 @@
 		    /// The heap type used for internal Dijkstra computations.
 		    typedef typename TR::Heap Heap;
 		    /// The \ref SuurballeDefaultTraits "traits class" of the algorithm.
 		    typedef TR Traits;
 		  private:
 		    // ResidualDijkstra is a special implementation of the
 		    // Dijkstra algorithm for finding shortest paths in the
 		    // residual network with respect to the reduced arc lengths
 		    // and modifying the node potentials according to the
 		    // distance of the nodes.
 		    class ResidualDijkstra
+		    {
 		    private:
 		      const Digraph &_graph;
 		      const LengthMap &_length;
 		      const FlowMap &_flow;
 		      PotentialMap &_pi;
 		      PredMap &_pred;
 		      Node _s;
 		      Node _t;
 		      PotentialMap _dist;
 		      std::vector<Node> _proc_nodes;
 		    public:
 		      // Constructor
 		      ResidualDijkstra(Suurballe &srb) :
 		        _graph(srb._graph), _length(srb._length),
-		        _flow(*srb._flow), _pi(*srb._potential), _pred(srb._pred),
 		        _flow(*srb._flow), _pi(*srb._potential), _pred(srb._pred),
 		        _s(srb._s), _t(srb._t), _dist(_graph) {}
 		      // Run the algorithm and return true if a path is found
 		      // from the source node to the target node.
 		      bool run(int cnt) {
 		        return cnt == 0 ? startFirst() : start();
+		      }
 		    private:
 		      // Execute the algorithm for the first time (the flow and potential
 		      // functions have to be identically zero).
 		      bool startFirst() {
 		        HeapCrossRef heap_cross_ref(_graph, Heap::PRE_HEAP);
 		        Heap heap(heap_cross_ref);
 		        heap.push(_s, 0);
 		        _pred[_s] = INVALID;
 		        _proc_nodes.clear();
 		        // Process nodes
 		        while (!heap.empty() && heap.top() != _t) {
 		          Node u = heap.top(), v;
 		          Length d = heap.prio(), dn;
 		          _dist[u] = heap.prio();
 		          _proc_nodes.push_back(u);
 		          heap.pop();
 		          // Traverse outgoing arcs
 		          for (OutArcIt e(_graph, u); e != INVALID; ++e) {
 		            v = _graph.target(e);
 		            switch(heap.state(v)) {
 		              case Heap::PRE_HEAP:
 		                heap.push(v, d + _length[e]);
 		                _pred[v] = e;
@@ -327,98 +327,98 @@
 		    /// \ref named-templ-param "Named parameter" for setting
 		    /// \c PotentialMap type.
 		    template <typename T>
 		    struct SetPotentialMap
 		      : public Suurballe<GR, LEN, SetPotentialMapTraits<T> > {
 		      typedef Suurballe<GR, LEN, SetPotentialMapTraits<T> > Create;
 		    };
 		    template <typename T>
 		    struct SetPathTraits : public Traits {
 		      typedef T Path;
 		    };
 		    /// \brief \ref named-templ-param "Named parameter" for setting
 		    /// \c %Path type.
 		    ///
 		    /// \ref named-templ-param "Named parameter" for setting \c %Path type.
 		    /// It must conform to the \ref lemon::concepts::Path "Path" concept
 		    /// and it must have an \c addBack() function.
 		    template <typename T>
 		    struct SetPath
 		      : public Suurballe<GR, LEN, SetPathTraits<T> > {
 		      typedef Suurballe<GR, LEN, SetPathTraits<T> > Create;
 		    };
 		    template <typename H, typename CR>
 		    struct SetHeapTraits : public Traits {
 		      typedef H Heap;
 		      typedef CR HeapCrossRef;
 		    };
 		    /// \brief \ref named-templ-param "Named parameter" for setting
 		    /// \c Heap and \c HeapCrossRef types.
 		    ///
 		    /// \ref named-templ-param "Named parameter" for setting \c Heap
-		    /// and \c HeapCrossRef types with automatic allocation.
 		    /// and \c HeapCrossRef types with automatic allocation.
 		    /// They will be used for internal Dijkstra computations.
 		    /// The heap type must conform to the \ref lemon::concepts::Heap "Heap"
 		    /// concept and its priority type must be \c Length.
 		    template <typename H,
 		              typename CR = typename Digraph::template NodeMap<int> >
 		    struct SetHeap
 		      : public Suurballe<GR, LEN, SetHeapTraits<H, CR> > {
 		      typedef Suurballe<GR, LEN, SetHeapTraits<H, CR> > Create;
 		    };
 		    /// @}
 		  private:
 		    // The digraph the algorithm runs on
 		    const Digraph &_graph;
 		    // The length map
 		    const LengthMap &_length;
 		    // Arc map of the current flow
 		    FlowMap *_flow;
 		    bool _local_flow;
 		    // Node map of the current potentials
 		    PotentialMap *_potential;
 		    bool _local_potential;
 		    // The source node
 		    Node _s;
 		    // The target node
 		    Node _t;
 		    // Container to store the found paths
 		    std::vector<Path> _paths;
 		    int _path_num;
 		    // The pred arc map
 		    PredMap _pred;
 		    // Data for full init
 		    PotentialMap *_init_dist;
 		    PredMap *_init_pred;
 		    bool _full_init;
 		  protected:
 		    Suurballe() {}
 		  public:
 		    /// \brief Constructor.
 		    ///
 		    /// Constructor.
 		    ///
 		    /// \param graph The digraph the algorithm runs on.
 		    /// \param length The length (cost) values of the arcs.
 		    Suurballe( const Digraph &graph,
 		               const LengthMap &length ) :
 		      _graph(graph), _length(length), _flow(0), _local_flow(false),
 		      _potential(0), _local_potential(false), _pred(graph),
 		      _init_dist(0), _init_pred(0)
 		    {}
@@ -534,107 +534,107 @@
 		    /// have to perform %Dijkstra only k-1 times.
 		    ///
 		    /// This initialization is usually worth using instead of \ref init()
 		    /// if the algorithm is executed many times using the same source node.
 		    ///
 		    /// \param s The source node.
 		    void fullInit(const Node& s) {
 		      // Initialize maps
 		      init(s);
 		      if (!_init_dist) {
 		        _init_dist = new PotentialMap(_graph);
+		      }
 		      if (!_init_pred) {
 		        _init_pred = new PredMap(_graph);
+		      }
 		      // Run a full Dijkstra
 		      typename Dijkstra<Digraph, LengthMap>
 		        ::template SetStandardHeap<Heap>
 		        ::template SetDistMap<PotentialMap>
 		        ::template SetPredMap<PredMap>
 		        ::Create dijk(_graph, _length);
 		      dijk.distMap(*_init_dist).predMap(*_init_pred);
 		      dijk.run(s);
 		      _full_init = true;
+		    }
 		    /// \brief Execute the algorithm.
 		    ///
 		    /// This function executes the algorithm.
 		    ///
 		    /// \param t The target node.
 		    /// \param k The number of paths to be found.
 		    ///
 		    /// \return \c k if there are at least \c k arc-disjoint paths from
 		    /// \c s to \c t in the digraph. Otherwise it returns the number of
 		    /// arc-disjoint paths found.
 		    ///
 		    /// \note Apart from the return value, <tt>s.start(t, k)</tt> is
 		    /// just a shortcut of the following code.
 		    /// \code
 		    ///   s.findFlow(t, k);
 		    ///   s.findPaths();
 		    /// \endcode
 		    int start(const Node& t, int k = 2) {
 		      findFlow(t, k);
 		      findPaths();
 		      return _path_num;
+		    }
 		    /// \brief Execute the algorithm to find an optimal flow.
 		    ///
 		    /// This function executes the successive shortest path algorithm to
 		    /// find a minimum cost flow, which is the union of \c k (or less)
 		    /// arc-disjoint paths.
 		    ///
 		    /// \param t The target node.
 		    /// \param k The number of paths to be found.
 		    ///
 		    /// \return \c k if there are at least \c k arc-disjoint paths from
 		    /// the source node to the given node \c t in the digraph.
 		    /// Otherwise it returns the number of arc-disjoint paths found.
 		    ///
 		    /// \pre \ref init() must be called before using this function.
 		    int findFlow(const Node& t, int k = 2) {
 		      _t = t;
 		      ResidualDijkstra dijkstra(*this);
 		      // Initialization
 		      for (ArcIt e(_graph); e != INVALID; ++e) {
 		        (*_flow)[e] = 0;
+		      }
 		      if (_full_init) {
 		        for (NodeIt n(_graph); n != INVALID; ++n) {
 		          (*_potential)[n] = (*_init_dist)[n];
+		        }
 		        Node u = _t;
 		        Arc e;
 		        while ((e = (*_init_pred)[u]) != INVALID) {
 		          (*_flow)[e] = 1;
 		          u = _graph.source(e);
+		        }
+		        }
 		        _path_num = 1;
 		      } else {
 		        for (NodeIt n(_graph); n != INVALID; ++n) {
 		          (*_potential)[n] = 0;
+		        }
 		        _path_num = 0;
+		      }
 		      // Find shortest paths
 		      while (_path_num < k) {
 		        // Run Dijkstra
 		        if (!dijkstra.run(_path_num)) break;
 		        ++_path_num;
 		        // Set the flow along the found shortest path
 		        Node u = _t;
 		        Arc e;
 		        while ((e = _pred[u]) != INVALID) {
 		          if (u == _graph.target(e)) {
 		            (*_flow)[e] = 1;
 		            u = _graph.source(e);
 		          } else {
 		            (*_flow)[e] = 0;
 		            u = _graph.target(e);

lemon/unionfind.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_UNION_FIND_H
 		#define LEMON_UNION_FIND_H
 		//!\ingroup auxdat
 		//!\file
 		//!\brief Union-Find data structures.
 		//!
 		#include <vector>
 		#include <list>
 		#include <utility>

test/bellman_ford_test.cc

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#include <lemon/concepts/digraph.h>
 		#include <lemon/smart_graph.h>
 		#include <lemon/list_graph.h>
 		#include <lemon/lgf_reader.h>
 		#include <lemon/bellman_ford.h>
 		#include <lemon/path.h>
 		#include "graph_test.h"
 		#include "test_tools.h"
 		using namespace lemon;
@@ -76,62 +76,62 @@
 		    BF bf_test(gr,length);
 		    const BF& const_bf_test = bf_test;
 		    bf_test.run(s);
 		    bf_test.run(s,k);
 		    bf_test.init();
 		    bf_test.addSource(s);
 		    bf_test.addSource(s, 1);
 		    b = bf_test.processNextRound();
 		    b = bf_test.processNextWeakRound();
 		    bf_test.start();
 		    bf_test.checkedStart();
 		    bf_test.limitedStart(k);
 		    l  = const_bf_test.dist(t);
 		    e  = const_bf_test.predArc(t);
 		    s  = const_bf_test.predNode(t);
 		    b  = const_bf_test.reached(t);
 		    d  = const_bf_test.distMap();
 		    p  = const_bf_test.predMap();
 		    pp = const_bf_test.path(t);
 		    pp = const_bf_test.negativeCycle();
 		    for (BF::ActiveIt it(const_bf_test); it != INVALID; ++it) {}
+		  }
+		  {
 		    BF::SetPredMap<concepts::ReadWriteMap<Node,Arc> >
 		      ::SetDistMap<concepts::ReadWriteMap<Node,Value> >
 		      ::SetOperationTraits<BellmanFordDefaultOperationTraits<Value> >
 		      ::SetOperationTraits<BellmanFordToleranceOperationTraits<Value, 0> >
 		      ::Create bf_test(gr,length);
 		    LengthMap length_map;
 		    concepts::ReadWriteMap<Node,Arc> pred_map;
 		    concepts::ReadWriteMap<Node,Value> dist_map;
 		    bf_test
 		      .lengthMap(length_map)
 		      .predMap(pred_map)
 		      .distMap(dist_map);
 		    bf_test.run(s);
 		    bf_test.run(s,k);
 		    bf_test.init();
 		    bf_test.addSource(s);
 		    bf_test.addSource(s, 1);
 		    b = bf_test.processNextRound();
 		    b = bf_test.processNextWeakRound();
 		    bf_test.start();
 		    bf_test.checkedStart();
 		    bf_test.limitedStart(k);
 		    l  = bf_test.dist(t);
 		    e  = bf_test.predArc(t);
 		    s  = bf_test.predNode(t);
 		    b  = bf_test.reached(t);
 		    pp = bf_test.path(t);
 		    pp = bf_test.negativeCycle();
@@ -168,119 +168,119 @@
 		  TEMPLATE_DIGRAPH_TYPEDEFS(Digraph);
 		  typedef typename Digraph::template ArcMap<Value> LengthMap;
 		  Digraph gr;
 		  Node s, t;
 		  LengthMap length(gr);
 		  std::istringstream input(test_lgf);
 		  digraphReader(gr, input).
 		    arcMap("length", length).
 		    node("source", s).
 		    node("target", t).
 		    run();
 		  BellmanFord<Digraph, LengthMap>
 		    bf(gr, length);
 		  bf.run(s);
 		  Path<Digraph> p = bf.path(t);
 		  check(bf.reached(t) && bf.dist(t) == -1, "Bellman-Ford found a wrong path.");
 		  check(p.length() == 3, "path() found a wrong path.");
 		  check(checkPath(gr, p), "path() found a wrong path.");
 		  check(pathSource(gr, p) == s, "path() found a wrong path.");
 		  check(pathTarget(gr, p) == t, "path() found a wrong path.");
 		  ListPath<Digraph> path;
 		  Value dist;
 		  bool reached = bellmanFord(gr,length).path(path).dist(dist).run(s,t);
 		  check(reached && dist == -1, "Bellman-Ford found a wrong path.");
 		  check(path.length() == 3, "path() found a wrong path.");
 		  check(checkPath(gr, path), "path() found a wrong path.");
 		  check(pathSource(gr, path) == s, "path() found a wrong path.");
 		  check(pathTarget(gr, path) == t, "path() found a wrong path.");
 		  for(ArcIt e(gr); e!=INVALID; ++e) {
 		    Node u=gr.source(e);
 		    Node v=gr.target(e);
 		    check(!bf.reached(u) || (bf.dist(v) - bf.dist(u) <= length[e]),
 		          "Wrong output. dist(target)-dist(source)-arc_length=" <<
 		          bf.dist(v) - bf.dist(u) - length[e]);
+		  }
 		  for(NodeIt v(gr); v!=INVALID; ++v) {
 		    if (bf.reached(v)) {
 		      check(v==s || bf.predArc(v)!=INVALID, "Wrong tree.");
 		      if (bf.predArc(v)!=INVALID ) {
 		        Arc e=bf.predArc(v);
 		        Node u=gr.source(e);
 		        check(u==bf.predNode(v),"Wrong tree.");
 		        check(bf.dist(v) - bf.dist(u) == length[e],
 		              "Wrong distance! Difference: " <<
 		              bf.dist(v) - bf.dist(u) - length[e]);
+		      }
+		    }
+		  }
+		}
 		void checkBellmanFordNegativeCycle() {
 		  DIGRAPH_TYPEDEFS(SmartDigraph);
 		  SmartDigraph gr;
 		  IntArcMap length(gr);
 		  Node n1 = gr.addNode();
 		  Node n2 = gr.addNode();
 		  Node n3 = gr.addNode();
 		  Node n4 = gr.addNode();
 		  Arc a1 = gr.addArc(n1, n2);
 		  Arc a2 = gr.addArc(n2, n2);
 		  length[a1] = 2;
 		  length[a2] = -1;
+		  {
 		    BellmanFord<SmartDigraph, IntArcMap> bf(gr, length);
 		    bf.run(n1);
 		    StaticPath<SmartDigraph> p = bf.negativeCycle();
 		    check(p.length() == 1 && p.front() == p.back() && p.front() == a2,
 		          "Wrong negative cycle.");
+		  }
 		  length[a2] = 0;
+		  {
 		    BellmanFord<SmartDigraph, IntArcMap> bf(gr, length);
 		    bf.run(n1);
 		    check(bf.negativeCycle().empty(),
 		          "Negative cycle should not be found.");
+		  }
 		  length[gr.addArc(n1, n3)] = 5;
 		  length[gr.addArc(n4, n3)] = 1;
 		  length[gr.addArc(n2, n4)] = 2;
 		  length[gr.addArc(n3, n2)] = -4;
+		  {
 		    BellmanFord<SmartDigraph, IntArcMap> bf(gr, length);
 		    bf.init();
 		    bf.addSource(n1);
 		    for (int i = 0; i < 4; ++i) {
 		      check(bf.negativeCycle().empty(),
 		            "Negative cycle should not be found.");
 		      bf.processNextRound();
+		    }
 		    StaticPath<SmartDigraph> p = bf.negativeCycle();
 		    check(p.length() == 3, "Wrong negative cycle.");
 		    check(length[p.nth(0)] + length[p.nth(1)] + length[p.nth(2)] == -1,
 		          "Wrong negative cycle.");
+		  }
+		}
 		int main() {
 		  checkBellmanFord<ListDigraph, int>();
 		  checkBellmanFord<SmartDigraph, double>();
 		  checkBellmanFordNegativeCycle();
 		  return 0;
+		}

test/bfs_test.cc

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#include <lemon/concepts/digraph.h>
 		#include <lemon/smart_graph.h>
 		#include <lemon/list_graph.h>
 		#include <lemon/lgf_reader.h>
 		#include <lemon/bfs.h>
 		#include <lemon/path.h>
 		#include "graph_test.h"
 		#include "test_tools.h"
 		using namespace lemon;
@@ -62,94 +62,94 @@
 		  Arc e;
 		  int l, i;
 		  bool b;
 		  BType::DistMap d(G);
 		  BType::PredMap p(G);
 		  Path<Digraph> pp;
 		  concepts::ReadMap<Node,bool> nm;
+		  {
 		    BType bfs_test(G);
 		    const BType& const_bfs_test = bfs_test;
 		    bfs_test.run(s);
 		    bfs_test.run(s,t);
 		    bfs_test.run();
 		    bfs_test.init();
 		    bfs_test.addSource(s);
 		    n = bfs_test.processNextNode();
 		    n = bfs_test.processNextNode(t, b);
 		    n = bfs_test.processNextNode(nm, n);
 		    n = const_bfs_test.nextNode();
 		    b = const_bfs_test.emptyQueue();
 		    i = const_bfs_test.queueSize();
 		    bfs_test.start();
 		    bfs_test.start(t);
 		    bfs_test.start(nm);
 		    l  = const_bfs_test.dist(t);
 		    e  = const_bfs_test.predArc(t);
 		    s  = const_bfs_test.predNode(t);
 		    b  = const_bfs_test.reached(t);
 		    d  = const_bfs_test.distMap();
 		    p  = const_bfs_test.predMap();
 		    pp = const_bfs_test.path(t);
+		  }
+		  {
 		    BType
 		      ::SetPredMap<concepts::ReadWriteMap<Node,Arc> >
 		      ::SetDistMap<concepts::ReadWriteMap<Node,int> >
 		      ::SetReachedMap<concepts::ReadWriteMap<Node,bool> >
 		      ::SetStandardProcessedMap
 		      ::SetProcessedMap<concepts::WriteMap<Node,bool> >
 		      ::Create bfs_test(G);
 		    concepts::ReadWriteMap<Node,Arc> pred_map;
 		    concepts::ReadWriteMap<Node,int> dist_map;
 		    concepts::ReadWriteMap<Node,bool> reached_map;
 		    concepts::WriteMap<Node,bool> processed_map;
 		    bfs_test
 		      .predMap(pred_map)
 		      .distMap(dist_map)
 		      .reachedMap(reached_map)
 		      .processedMap(processed_map);
 		    bfs_test.run(s);
 		    bfs_test.run(s,t);
 		    bfs_test.run();
 		    bfs_test.init();
 		    bfs_test.addSource(s);
 		    n = bfs_test.processNextNode();
 		    n = bfs_test.processNextNode(t, b);
 		    n = bfs_test.processNextNode(nm, n);
 		    n = bfs_test.nextNode();
 		    b = bfs_test.emptyQueue();
 		    i = bfs_test.queueSize();
 		    bfs_test.start();
 		    bfs_test.start(t);
 		    bfs_test.start(nm);
 		    l  = bfs_test.dist(t);
 		    e  = bfs_test.predArc(t);
 		    s  = bfs_test.predNode(t);
 		    b  = bfs_test.reached(t);
 		    pp = bfs_test.path(t);
+		  }
+		}
 		void checkBfsFunctionCompile()
+		{
 		  typedef int VType;
 		  typedef concepts::Digraph Digraph;
 		  typedef Digraph::Arc Arc;
 		  typedef Digraph::Node Node;
 		  Digraph g;
 		  bool b;
 		  bfs(g).run(Node());
 		  b=bfs(g).run(Node(),Node());
 		  bfs(g).run();

test/circulation_test.cc

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#include <iostream>
 		#include "test_tools.h"
 		#include <lemon/list_graph.h>
 		#include <lemon/circulation.h>
 		#include <lemon/lgf_reader.h>
 		#include <lemon/concepts/digraph.h>
 		#include <lemon/concepts/maps.h>
 		using namespace lemon;
@@ -60,70 +60,70 @@
 		  typedef concepts::ReadMap<Node,VType> SupplyMap;
 		  typedef concepts::ReadWriteMap<Arc,VType> FlowMap;
 		  typedef concepts::WriteMap<Node,bool> BarrierMap;
 		  typedef Elevator<Digraph, Digraph::Node> Elev;
 		  typedef LinkedElevator<Digraph, Digraph::Node> LinkedElev;
 		  Digraph g;
 		  Node n;
 		  Arc a;
 		  CapMap lcap, ucap;
 		  SupplyMap supply;
 		  FlowMap flow;
 		  BarrierMap bar;
 		  VType v;
 		  bool b;
 		  typedef Circulation<Digraph, CapMap, CapMap, SupplyMap>
 		            ::SetFlowMap<FlowMap>
 		            ::SetElevator<Elev>
 		            ::SetStandardElevator<LinkedElev>
 		            ::Create CirculationType;
 		  CirculationType circ_test(g, lcap, ucap, supply);
 		  const CirculationType& const_circ_test = circ_test;
 		  circ_test
 		    .lowerMap(lcap)
 		    .upperMap(ucap)
 		    .supplyMap(supply)
 		    .flowMap(flow);
 		  const CirculationType::Elevator& elev = const_circ_test.elevator();
 		  circ_test.elevator(const_cast<CirculationType::Elevator&>(elev));
 		  CirculationType::Tolerance tol = const_circ_test.tolerance();
 		  circ_test.tolerance(tol);
 		  circ_test.init();
 		  circ_test.greedyInit();
 		  circ_test.start();
 		  circ_test.run();
 		  v = const_circ_test.flow(a);
 		  const FlowMap& fm = const_circ_test.flowMap();
 		  b = const_circ_test.barrier(n);
 		  const_circ_test.barrierMap(bar);
 		  ignore_unused_variable_warning(fm);
+		}
 		template <class G, class LM, class UM, class DM>
 		void checkCirculation(const G& g, const LM& lm, const UM& um,
 		                      const DM& dm, bool find)
+		{
 		  Circulation<G, LM, UM, DM> circ(g, lm, um, dm);
 		  bool ret = circ.run();
 		  if (find) {
 		    check(ret, "A feasible solution should have been found.");
 		    check(circ.checkFlow(), "The found flow is corrupt.");
 		    check(!circ.checkBarrier(), "A barrier should not have been found.");
 		  } else {
 		    check(!ret, "A feasible solution should not have been found.");
 		    check(circ.checkBarrier(), "The found barrier is corrupt.");
+		  }
+		}
 		int main (int, char*[])
+		{
 		  typedef ListDigraph Digraph;
 		  DIGRAPH_TYPEDEFS(Digraph);

test/connectivity_test.cc

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#include <lemon/connectivity.h>
 		#include <lemon/list_graph.h>
 		#include <lemon/adaptors.h>
 		#include "test_tools.h"
 		using namespace lemon;
 		int main()
+		{
 		  typedef ListDigraph Digraph;
 		  typedef Undirector<Digraph> Graph;
+		  {
 		    Digraph d;
 		    Digraph::NodeMap<int> order(d);
 		    Graph g(d);
 		    check(stronglyConnected(d), "The empty digraph is strongly connected");
 		    check(countStronglyConnectedComponents(d) == 0,
 		          "The empty digraph has 0 strongly connected component");
 		    check(connected(g), "The empty graph is connected");
 		    check(countConnectedComponents(g) == 0,
 		          "The empty graph has 0 connected component");
 		    check(biNodeConnected(g), "The empty graph is bi-node-connected");
 		    check(countBiNodeConnectedComponents(g) == 0,
 		          "The empty graph has 0 bi-node-connected component");
 		    check(biEdgeConnected(g), "The empty graph is bi-edge-connected");
 		    check(countBiEdgeConnectedComponents(g) == 0,
 		          "The empty graph has 0 bi-edge-connected component");
 		    check(dag(d), "The empty digraph is DAG.");
 		    check(checkedTopologicalSort(d, order), "The empty digraph is DAG.");
 		    check(loopFree(d), "The empty digraph is loop-free.");
 		    check(parallelFree(d), "The empty digraph is parallel-free.");
 		    check(simpleGraph(d), "The empty digraph is simple.");
 		    check(acyclic(g), "The empty graph is acyclic.");
 		    check(tree(g), "The empty graph is tree.");
 		    check(bipartite(g), "The empty graph is bipartite.");
 		    check(loopFree(g), "The empty graph is loop-free.");
 		    check(parallelFree(g), "The empty graph is parallel-free.");
 		    check(simpleGraph(g), "The empty graph is simple.");
+		  }
+		  {
 		    Digraph d;
 		    Digraph::NodeMap<int> order(d);
 		    Graph g(d);
 		    Digraph::Node n = d.addNode();
 		    check(stronglyConnected(d), "This digraph is strongly connected");
 		    check(countStronglyConnectedComponents(d) == 1,
 		          "This digraph has 1 strongly connected component");
 		    check(connected(g), "This graph is connected");
 		    check(countConnectedComponents(g) == 1,
 		          "This graph has 1 connected component");
 		    check(biNodeConnected(g), "This graph is bi-node-connected");
 		    check(countBiNodeConnectedComponents(g) == 0,
 		          "This graph has 0 bi-node-connected component");
 		    check(biEdgeConnected(g), "This graph is bi-edge-connected");
 		    check(countBiEdgeConnectedComponents(g) == 1,
 		          "This graph has 1 bi-edge-connected component");
 		    check(dag(d), "This digraph is DAG.");
 		    check(checkedTopologicalSort(d, order), "This digraph is DAG.");
 		    check(loopFree(d), "This digraph is loop-free.");
 		    check(parallelFree(d), "This digraph is parallel-free.");
 		    check(simpleGraph(d), "This digraph is simple.");
 		    check(acyclic(g), "This graph is acyclic.");
 		    check(tree(g), "This graph is tree.");
 		    check(bipartite(g), "This graph is bipartite.");
 		    check(loopFree(g), "This graph is loop-free.");
 		    check(parallelFree(g), "This graph is parallel-free.");
 		    check(simpleGraph(g), "This graph is simple.");
+		  }
+		  {
 		    Digraph d;
 		    Digraph::NodeMap<int> order(d);
 		    Graph g(d);
 		    Digraph::Node n1 = d.addNode();
 		    Digraph::Node n2 = d.addNode();
 		    Digraph::Node n3 = d.addNode();
 		    Digraph::Node n4 = d.addNode();
 		    Digraph::Node n5 = d.addNode();
 		    Digraph::Node n6 = d.addNode();
 		    d.addArc(n1, n3);
 		    d.addArc(n3, n2);
 		    d.addArc(n2, n1);
 		    d.addArc(n4, n2);
 		    d.addArc(n4, n3);
 		    d.addArc(n5, n6);
 		    d.addArc(n6, n5);
 		    check(!stronglyConnected(d), "This digraph is not strongly connected");
 		    check(countStronglyConnectedComponents(d) == 3,
 		          "This digraph has 3 strongly connected components");
 		    check(!connected(g), "This graph is not connected");
 		    check(countConnectedComponents(g) == 2,
 		          "This graph has 2 connected components");
 		    check(!dag(d), "This digraph is not DAG.");
 		    check(!checkedTopologicalSort(d, order), "This digraph is not DAG.");
 		    check(loopFree(d), "This digraph is loop-free.");
 		    check(parallelFree(d), "This digraph is parallel-free.");
 		    check(simpleGraph(d), "This digraph is simple.");
 		    check(!acyclic(g), "This graph is not acyclic.");
 		    check(!tree(g), "This graph is not tree.");
 		    check(!bipartite(g), "This graph is not bipartite.");
 		    check(loopFree(g), "This graph is loop-free.");
 		    check(!parallelFree(g), "This graph is not parallel-free.");
 		    check(!simpleGraph(g), "This graph is not simple.");
 		    d.addArc(n3, n3);
 		    check(!loopFree(d), "This digraph is not loop-free.");
 		    check(!loopFree(g), "This graph is not loop-free.");
 		    check(!simpleGraph(d), "This digraph is not simple.");
 		    d.addArc(n3, n2);
 		    check(!parallelFree(d), "This digraph is not parallel-free.");
+		  }
+		  {
 		    Digraph d;
 		    Digraph::ArcMap<bool> cutarcs(d, false);
 		    Graph g(d);
 		    Digraph::Node n1 = d.addNode();
 		    Digraph::Node n2 = d.addNode();
 		    Digraph::Node n3 = d.addNode();
 		    Digraph::Node n4 = d.addNode();
 		    Digraph::Node n5 = d.addNode();
 		    Digraph::Node n6 = d.addNode();
 		    Digraph::Node n7 = d.addNode();
 		    Digraph::Node n8 = d.addNode();
 		    d.addArc(n1, n2);
 		    d.addArc(n5, n1);
 		    d.addArc(n2, n8);
 		    d.addArc(n8, n5);
 		    d.addArc(n6, n4);
 		    d.addArc(n4, n6);
 		    d.addArc(n2, n5);
 		    d.addArc(n1, n8);
 		    d.addArc(n6, n7);
 		    d.addArc(n7, n6);
 		    check(!stronglyConnected(d), "This digraph is not strongly connected");
 		    check(countStronglyConnectedComponents(d) == 3,
 		          "This digraph has 3 strongly connected components");
 		    Digraph::NodeMap<int> scomp1(d);
 		    check(stronglyConnectedComponents(d, scomp1) == 3,
 		          "This digraph has 3 strongly connected components");
 		    check(scomp1[n1] != scomp1[n3] && scomp1[n1] != scomp1[n4] &&
 		          scomp1[n3] != scomp1[n4], "Wrong stronglyConnectedComponents()");
 		    check(scomp1[n1] == scomp1[n2] && scomp1[n1] == scomp1[n5] &&
 		          scomp1[n1] == scomp1[n8], "Wrong stronglyConnectedComponents()");
 		    check(scomp1[n4] == scomp1[n6] && scomp1[n4] == scomp1[n7],
 		          "Wrong stronglyConnectedComponents()");
 		    Digraph::ArcMap<bool> scut1(d, false);
 		    check(stronglyConnectedCutArcs(d, scut1) == 0,
 		          "This digraph has 0 strongly connected cut arc.");
 		    for (Digraph::ArcIt a(d); a != INVALID; ++a) {
 		      check(!scut1[a], "Wrong stronglyConnectedCutArcs()");
+		    }
 		    check(!connected(g), "This graph is not connected");
 		    check(countConnectedComponents(g) == 3,
 		          "This graph has 3 connected components");
 		    Graph::NodeMap<int> comp(g);
 		    check(connectedComponents(g, comp) == 3,
@@ -214,84 +214,84 @@
 		    check(!stronglyConnected(d), "This digraph is not strongly connected");
 		    check(countStronglyConnectedComponents(d) == 3,
 		          "This digraph has 3 strongly connected components");
 		    Digraph::NodeMap<int> scomp2(d);
 		    check(stronglyConnectedComponents(d, scomp2) == 3,
 		          "This digraph has 3 strongly connected components");
 		    check(scomp2[n3] == 0, "Wrong stronglyConnectedComponents()");
 		    check(scomp2[n1] == 1 && scomp2[n2] == 1 && scomp2[n5] == 1 &&
 		          scomp2[n8] == 1, "Wrong stronglyConnectedComponents()");
 		    check(scomp2[n4] == 2 && scomp2[n6] == 2 && scomp2[n7] == 2,
 		          "Wrong stronglyConnectedComponents()");
 		    Digraph::ArcMap<bool> scut2(d, false);
 		    check(stronglyConnectedCutArcs(d, scut2) == 5,
 		          "This digraph has 5 strongly connected cut arcs.");
 		    for (Digraph::ArcIt a(d); a != INVALID; ++a) {
 		      check(scut2[a] == cutarcs[a], "Wrong stronglyConnectedCutArcs()");
+		    }
+		  }
+		  {
 		    // DAG example for topological sort from the book New Algorithms
 		    // (T. H. Cormen, C. E. Leiserson, R. L. Rivest, C. Stein)
 		    Digraph d;
 		    Digraph::NodeMap<int> order(d);
 		    Digraph::Node belt = d.addNode();
 		    Digraph::Node trousers = d.addNode();
 		    Digraph::Node necktie = d.addNode();
 		    Digraph::Node coat = d.addNode();
 		    Digraph::Node socks = d.addNode();
 		    Digraph::Node shirt = d.addNode();
 		    Digraph::Node shoe = d.addNode();
 		    Digraph::Node watch = d.addNode();
 		    Digraph::Node pants = d.addNode();
 		    d.addArc(socks, shoe);
 		    d.addArc(pants, shoe);
 		    d.addArc(pants, trousers);
 		    d.addArc(trousers, shoe);
 		    d.addArc(trousers, belt);
 		    d.addArc(belt, coat);
 		    d.addArc(shirt, belt);
 		    d.addArc(shirt, necktie);
 		    d.addArc(necktie, coat);
 		    check(dag(d), "This digraph is DAG.");
 		    topologicalSort(d, order);
 		    for (Digraph::ArcIt a(d); a != INVALID; ++a) {
 		      check(order[d.source(a)] < order[d.target(a)],
 		            "Wrong topologicalSort()");
+		    }
+		  }
+		  {
 		    ListGraph g;
 		    ListGraph::NodeMap<bool> map(g);
 		    ListGraph::Node n1 = g.addNode();
 		    ListGraph::Node n2 = g.addNode();
 		    ListGraph::Node n3 = g.addNode();
 		    ListGraph::Node n4 = g.addNode();
 		    ListGraph::Node n5 = g.addNode();
 		    ListGraph::Node n6 = g.addNode();
 		    ListGraph::Node n7 = g.addNode();
 		    g.addEdge(n1, n3);
 		    g.addEdge(n1, n4);
 		    g.addEdge(n2, n5);
 		    g.addEdge(n3, n6);
 		    g.addEdge(n4, n6);
 		    g.addEdge(n4, n7);
 		    g.addEdge(n5, n7);
 		    check(bipartite(g), "This graph is bipartite");
 		    check(bipartitePartitions(g, map), "This graph is bipartite");
 		    check(map[n1] == map[n2] && map[n1] == map[n6] && map[n1] == map[n7],
 		          "Wrong bipartitePartitions()");
 		    check(map[n3] == map[n4] && map[n3] == map[n5],
 		          "Wrong bipartitePartitions()");
+		  }
 		  return 0;
+		}

test/dfs_test.cc

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#include <lemon/concepts/digraph.h>
 		#include <lemon/smart_graph.h>
 		#include <lemon/list_graph.h>
 		#include <lemon/lgf_reader.h>
 		#include <lemon/dfs.h>
 		#include <lemon/path.h>
 		#include "graph_test.h"
 		#include "test_tools.h"
 		using namespace lemon;
@@ -62,92 +62,92 @@
 		  Digraph G;
 		  Node s, t;
 		  Arc e;
 		  int l, i;
 		  bool b;
 		  DType::DistMap d(G);
 		  DType::PredMap p(G);
 		  Path<Digraph> pp;
 		  concepts::ReadMap<Arc,bool> am;
+		  {
 		    DType dfs_test(G);
 		    const DType& const_dfs_test = dfs_test;
 		    dfs_test.run(s);
 		    dfs_test.run(s,t);
 		    dfs_test.run();
 		    dfs_test.init();
 		    dfs_test.addSource(s);
 		    e = dfs_test.processNextArc();
 		    e = const_dfs_test.nextArc();
 		    b = const_dfs_test.emptyQueue();
 		    i = const_dfs_test.queueSize();
 		    dfs_test.start();
 		    dfs_test.start(t);
 		    dfs_test.start(am);
 		    l  = const_dfs_test.dist(t);
 		    e  = const_dfs_test.predArc(t);
 		    s  = const_dfs_test.predNode(t);
 		    b  = const_dfs_test.reached(t);
 		    d  = const_dfs_test.distMap();
 		    p  = const_dfs_test.predMap();
 		    pp = const_dfs_test.path(t);
+		  }
+		  {
 		    DType
 		      ::SetPredMap<concepts::ReadWriteMap<Node,Arc> >
 		      ::SetDistMap<concepts::ReadWriteMap<Node,int> >
 		      ::SetReachedMap<concepts::ReadWriteMap<Node,bool> >
 		      ::SetStandardProcessedMap
 		      ::SetProcessedMap<concepts::WriteMap<Node,bool> >
 		      ::Create dfs_test(G);
 		    concepts::ReadWriteMap<Node,Arc> pred_map;
 		    concepts::ReadWriteMap<Node,int> dist_map;
 		    concepts::ReadWriteMap<Node,bool> reached_map;
 		    concepts::WriteMap<Node,bool> processed_map;
 		    dfs_test
 		      .predMap(pred_map)
 		      .distMap(dist_map)
 		      .reachedMap(reached_map)
 		      .processedMap(processed_map);
 		    dfs_test.run(s);
 		    dfs_test.run(s,t);
 		    dfs_test.run();
 		    dfs_test.init();
 		    dfs_test.addSource(s);
 		    e = dfs_test.processNextArc();
 		    e = dfs_test.nextArc();
 		    b = dfs_test.emptyQueue();
 		    i = dfs_test.queueSize();
 		    dfs_test.start();
 		    dfs_test.start(t);
 		    dfs_test.start(am);
 		    l  = dfs_test.dist(t);
 		    e  = dfs_test.predArc(t);
 		    s  = dfs_test.predNode(t);
 		    b  = dfs_test.reached(t);
 		    pp = dfs_test.path(t);
+		  }
+		}
 		void checkDfsFunctionCompile()
+		{
 		  typedef int VType;
 		  typedef concepts::Digraph Digraph;
 		  typedef Digraph::Arc Arc;
 		  typedef Digraph::Node Node;
 		  Digraph g;
 		  bool b;
 		  dfs(g).run(Node());
 		  b=dfs(g).run(Node(),Node());
 		  dfs(g).run();

test/digraph_test.cc

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#include <lemon/concepts/digraph.h>
 		#include <lemon/list_graph.h>
 		#include <lemon/smart_graph.h>
 		#include <lemon/static_graph.h>
 		#include <lemon/full_graph.h>
 		#include "test_tools.h"
 		#include "graph_test.h"
 		using namespace lemon;
 		using namespace lemon::concepts;
@@ -371,51 +371,51 @@
 		  Arc
 		    e1 = g.addArc(n1, n2),
 		    e2 = g.addArc(n2, n3);
 		  check(g.valid(n1), "Wrong validity check");
 		  check(g.valid(e1), "Wrong validity check");
 		  g.erase(n1);
 		  check(!g.valid(n1), "Wrong validity check");
 		  check(g.valid(n2), "Wrong validity check");
 		  check(g.valid(n3), "Wrong validity check");
 		  check(!g.valid(e1), "Wrong validity check");
 		  check(g.valid(e2), "Wrong validity check");
 		  check(!g.valid(g.nodeFromId(-1)), "Wrong validity check");
 		  check(!g.valid(g.arcFromId(-1)), "Wrong validity check");
+		}
 		void checkStaticDigraph() {
 		  SmartDigraph g;
 		  SmartDigraph::NodeMap<StaticDigraph::Node> nref(g);
 		  SmartDigraph::ArcMap<StaticDigraph::Arc> aref(g);
 		  StaticDigraph G;
 		  checkGraphNodeList(G, 0);
 		  checkGraphArcList(G, 0);
 		  G.build(g, nref, aref);
 		  checkGraphNodeList(G, 0);
 		  checkGraphArcList(G, 0);
 		  SmartDigraph::Node
 		    n1 = g.addNode(),
 		    n2 = g.addNode(),
 		    n3 = g.addNode();
 		  G.build(g, nref, aref);
 		  checkGraphNodeList(G, 3);
 		  checkGraphArcList(G, 0);
 		  SmartDigraph::Arc a1 = g.addArc(n1, n2);
 		  G.build(g, nref, aref);
 		  check(G.source(aref[a1]) == nref[n1] && G.target(aref[a1]) == nref[n2],
 		        "Wrong arc or wrong references");
@@ -443,73 +443,73 @@
 		  checkGraphArcList(G, 4);
 		  checkGraphOutArcList(G, nref[n1], 1);
 		  checkGraphOutArcList(G, nref[n2], 3);
 		  checkGraphOutArcList(G, nref[n3], 0);
 		  checkGraphInArcList(G, nref[n1], 1);
 		  checkGraphInArcList(G, nref[n2], 1);
 		  checkGraphInArcList(G, nref[n3], 2);
 		  checkGraphConArcList(G, 4);
 		  std::vector<std::pair<int,int> > arcs;
 		  arcs.push_back(std::make_pair(0,1));
 		  arcs.push_back(std::make_pair(0,2));
 		  arcs.push_back(std::make_pair(1,3));
 		  arcs.push_back(std::make_pair(1,2));
 		  arcs.push_back(std::make_pair(3,0));
 		  arcs.push_back(std::make_pair(3,3));
 		  arcs.push_back(std::make_pair(4,2));
 		  arcs.push_back(std::make_pair(4,3));
 		  arcs.push_back(std::make_pair(4,1));
 		  G.build(6, arcs.begin(), arcs.end());
 		  checkGraphNodeList(G, 6);
 		  checkGraphArcList(G, 9);
 		  checkGraphOutArcList(G, G.node(0), 2);
 		  checkGraphOutArcList(G, G.node(1), 2);
 		  checkGraphOutArcList(G, G.node(2), 0);
 		  checkGraphOutArcList(G, G.node(3), 2);
 		  checkGraphOutArcList(G, G.node(4), 3);
 		  checkGraphOutArcList(G, G.node(5), 0);
 		  checkGraphInArcList(G, G.node(0), 1);
 		  checkGraphInArcList(G, G.node(1), 2);
 		  checkGraphInArcList(G, G.node(2), 3);
 		  checkGraphInArcList(G, G.node(3), 3);
 		  checkGraphInArcList(G, G.node(4), 0);
 		  checkGraphInArcList(G, G.node(5), 0);
 		  checkGraphConArcList(G, 9);
 		  checkNodeIds(G);
 		  checkArcIds(G);
 		  checkGraphNodeMap(G);
 		  checkGraphArcMap(G);
 		  int n = G.nodeNum();
 		  int m = G.arcNum();
 		  check(G.index(G.node(n-1)) == n-1, "Wrong index.");
 		  check(G.index(G.arc(m-1)) == m-1, "Wrong index.");
+		}
 		void checkFullDigraph(int num) {
 		  typedef FullDigraph Digraph;
 		  DIGRAPH_TYPEDEFS(Digraph);
 		  Digraph G(num);
 		  check(G.nodeNum() == num && G.arcNum() == num * num, "Wrong size");
 		  G.resize(num);
 		  check(G.nodeNum() == num && G.arcNum() == num * num, "Wrong size");
 		  checkGraphNodeList(G, num);
 		  checkGraphArcList(G, num * num);
 		  for (NodeIt n(G); n != INVALID; ++n) {
 		    checkGraphOutArcList(G, n, num);
 		    checkGraphInArcList(G, n, num);
+		  }

test/dijkstra_test.cc

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#include <lemon/concepts/digraph.h>
 		#include <lemon/smart_graph.h>
 		#include <lemon/list_graph.h>
 		#include <lemon/lgf_reader.h>
 		#include <lemon/dijkstra.h>
 		#include <lemon/path.h>
 		#include <lemon/bin_heap.h>
 		#include "graph_test.h"
 		#include "test_tools.h"
@@ -64,100 +64,100 @@
 		  Arc e;
 		  VType l;
 		  int i;
 		  bool b;
 		  DType::DistMap d(G);
 		  DType::PredMap p(G);
 		  LengthMap length;
 		  Path<Digraph> pp;
 		  concepts::ReadMap<Node,bool> nm;
+		  {
 		    DType dijkstra_test(G,length);
 		    const DType& const_dijkstra_test = dijkstra_test;
 		    dijkstra_test.run(s);
 		    dijkstra_test.run(s,t);
 		    dijkstra_test.init();
 		    dijkstra_test.addSource(s);
 		    dijkstra_test.addSource(s, 1);
 		    n = dijkstra_test.processNextNode();
 		    n = const_dijkstra_test.nextNode();
 		    b = const_dijkstra_test.emptyQueue();
 		    i = const_dijkstra_test.queueSize();
 		    dijkstra_test.start();
 		    dijkstra_test.start(t);
 		    dijkstra_test.start(nm);
 		    l  = const_dijkstra_test.dist(t);
 		    e  = const_dijkstra_test.predArc(t);
 		    s  = const_dijkstra_test.predNode(t);
 		    b  = const_dijkstra_test.reached(t);
 		    b  = const_dijkstra_test.processed(t);
 		    d  = const_dijkstra_test.distMap();
 		    p  = const_dijkstra_test.predMap();
 		    pp = const_dijkstra_test.path(t);
 		    l  = const_dijkstra_test.currentDist(t);
+		  }
+		  {
 		    DType
 		      ::SetPredMap<concepts::ReadWriteMap<Node,Arc> >
 		      ::SetDistMap<concepts::ReadWriteMap<Node,VType> >
 		      ::SetStandardProcessedMap
 		      ::SetProcessedMap<concepts::WriteMap<Node,bool> >
 		      ::SetOperationTraits<DijkstraDefaultOperationTraits<VType> >
 		      ::SetHeap<BinHeap<VType, concepts::ReadWriteMap<Node,int> > >
 		      ::SetStandardHeap<BinHeap<VType, concepts::ReadWriteMap<Node,int> > >
-		      ::SetHeap<BinHeap<VType, concepts::ReadWriteMap<Node,int> >,
 		      ::SetHeap<BinHeap<VType, concepts::ReadWriteMap<Node,int> >,
 		                concepts::ReadWriteMap<Node,int> >
 		      ::Create dijkstra_test(G,length);
 		    LengthMap length_map;
 		    concepts::ReadWriteMap<Node,Arc> pred_map;
 		    concepts::ReadWriteMap<Node,VType> dist_map;
 		    concepts::WriteMap<Node,bool> processed_map;
 		    concepts::ReadWriteMap<Node,int> heap_cross_ref;
 		    BinHeap<VType, concepts::ReadWriteMap<Node,int> > heap(heap_cross_ref);
 		    dijkstra_test
 		      .lengthMap(length_map)
 		      .predMap(pred_map)
 		      .distMap(dist_map)
 		      .processedMap(processed_map)
 		      .heap(heap, heap_cross_ref);
 		    dijkstra_test.run(s);
 		    dijkstra_test.run(s,t);
 		    dijkstra_test.addSource(s);
 		    dijkstra_test.addSource(s, 1);
 		    n = dijkstra_test.processNextNode();
 		    n = dijkstra_test.nextNode();
 		    b = dijkstra_test.emptyQueue();
 		    i = dijkstra_test.queueSize();
 		    dijkstra_test.start();
 		    dijkstra_test.start(t);
 		    dijkstra_test.start(nm);
 		    l  = dijkstra_test.dist(t);
 		    e  = dijkstra_test.predArc(t);
 		    s  = dijkstra_test.predNode(t);
 		    b  = dijkstra_test.reached(t);
 		    b  = dijkstra_test.processed(t);
 		    pp = dijkstra_test.path(t);
 		    l  = dijkstra_test.currentDist(t);
+		  }
+		}
 		void checkDijkstraFunctionCompile()
+		{
 		  typedef int VType;
 		  typedef concepts::Digraph Digraph;
 		  typedef Digraph::Arc Arc;
 		  typedef Digraph::Node Node;
 		  typedef concepts::ReadMap<Digraph::Arc,VType> LengthMap;
 		  Digraph g;

test/edge_set_test.cc

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2008
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#include <iostream>
 		#include <vector>
 		#include <lemon/concepts/digraph.h>
 		#include <lemon/concepts/graph.h>
 		#include <lemon/concept_check.h>
 		#include <lemon/list_graph.h>
 		#include <lemon/edge_set.h>

test/euler_test.cc

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#include <lemon/euler.h>
 		#include <lemon/list_graph.h>
 		#include <lemon/adaptors.h>
 		#include "test_tools.h"
 		using namespace lemon;
 		template <typename Digraph>
 		void checkDiEulerIt(const Digraph& g,
 		                    const typename Digraph::Node& start = INVALID)
+		{
@@ -64,160 +64,160 @@
 		  typename Graph::Node lastNode = g.target(typename Graph::Arc(e));
 		  if (start != INVALID) {
 		    check(firstNode == start, "checkEulerIt: Wrong first node");
+		  }
 		  for (; e != INVALID; ++e) {
 		    if (e != INVALID) lastNode = g.target(typename Graph::Arc(e));
 		    ++visitationNumber[e];
+		  }
 		  check(firstNode == lastNode,
 		      "checkEulerIt: First and last nodes are not the same");
 		  for (typename Graph::EdgeIt e(g); e != INVALID; ++e)
+		  {
 		    check(visitationNumber[e] == 1,
 		        "checkEulerIt: Not visited or multiple times visited edge found");
+		  }
+		}
 		int main()
+		{
 		  typedef ListDigraph Digraph;
 		  typedef Undirector<Digraph> Graph;
+		  {
 		    Digraph d;
 		    Graph g(d);
 		    checkDiEulerIt(d);
 		    checkDiEulerIt(g);
 		    checkEulerIt(g);
 		    check(eulerian(d), "This graph is Eulerian");
 		    check(eulerian(g), "This graph is Eulerian");
+		  }
+		  {
 		    Digraph d;
 		    Graph g(d);
 		    Digraph::Node n = d.addNode();
 		    checkDiEulerIt(d);
 		    checkDiEulerIt(g);
 		    checkEulerIt(g);
 		    check(eulerian(d), "This graph is Eulerian");
 		    check(eulerian(g), "This graph is Eulerian");
+		  }
+		  {
 		    Digraph d;
 		    Graph g(d);
 		    Digraph::Node n = d.addNode();
 		    d.addArc(n, n);
 		    checkDiEulerIt(d);
 		    checkDiEulerIt(g);
 		    checkEulerIt(g);
 		    check(eulerian(d), "This graph is Eulerian");
 		    check(eulerian(g), "This graph is Eulerian");
+		  }
+		  {
 		    Digraph d;
 		    Graph g(d);
 		    Digraph::Node n1 = d.addNode();
 		    Digraph::Node n2 = d.addNode();
 		    Digraph::Node n3 = d.addNode();
 		    d.addArc(n1, n2);
 		    d.addArc(n2, n1);
 		    d.addArc(n2, n3);
 		    d.addArc(n3, n2);
 		    checkDiEulerIt(d);
 		    checkDiEulerIt(d, n2);
 		    checkDiEulerIt(g);
 		    checkDiEulerIt(g, n2);
 		    checkEulerIt(g);
 		    checkEulerIt(g, n2);
 		    check(eulerian(d), "This graph is Eulerian");
 		    check(eulerian(g), "This graph is Eulerian");
+		  }
+		  {
 		    Digraph d;
 		    Graph g(d);
 		    Digraph::Node n1 = d.addNode();
 		    Digraph::Node n2 = d.addNode();
 		    Digraph::Node n3 = d.addNode();
 		    Digraph::Node n4 = d.addNode();
 		    Digraph::Node n5 = d.addNode();
 		    Digraph::Node n6 = d.addNode();
 		    d.addArc(n1, n2);
 		    d.addArc(n2, n4);
 		    d.addArc(n1, n3);
 		    d.addArc(n3, n4);
 		    d.addArc(n4, n1);
 		    d.addArc(n3, n5);
 		    d.addArc(n5, n2);
 		    d.addArc(n4, n6);
 		    d.addArc(n2, n6);
 		    d.addArc(n6, n1);
 		    d.addArc(n6, n3);
 		    checkDiEulerIt(d);
 		    checkDiEulerIt(d, n1);
 		    checkDiEulerIt(d, n5);
 		    checkDiEulerIt(g);
 		    checkDiEulerIt(g, n1);
 		    checkDiEulerIt(g, n5);
 		    checkEulerIt(g);
 		    checkEulerIt(g, n1);
 		    checkEulerIt(g, n5);
 		    check(eulerian(d), "This graph is Eulerian");
 		    check(eulerian(g), "This graph is Eulerian");
+		  }
+		  {
 		    Digraph d;
 		    Graph g(d);
 		    Digraph::Node n0 = d.addNode();
 		    Digraph::Node n1 = d.addNode();
 		    Digraph::Node n2 = d.addNode();
 		    Digraph::Node n3 = d.addNode();
 		    Digraph::Node n4 = d.addNode();
 		    Digraph::Node n5 = d.addNode();
 		    d.addArc(n1, n2);
 		    d.addArc(n2, n3);
 		    d.addArc(n3, n1);
 		    checkDiEulerIt(d);
 		    checkDiEulerIt(d, n2);
 		    checkDiEulerIt(g);
 		    checkDiEulerIt(g, n2);
 		    checkEulerIt(g);
 		    checkEulerIt(g, n2);
 		    check(!eulerian(d), "This graph is not Eulerian");
 		    check(!eulerian(g), "This graph is not Eulerian");
+		  }
+		  {
 		    Digraph d;
 		    Graph g(d);
 		    Digraph::Node n1 = d.addNode();
 		    Digraph::Node n2 = d.addNode();
 		    Digraph::Node n3 = d.addNode();
 		    d.addArc(n1, n2);
 		    d.addArc(n2, n3);
 		    check(!eulerian(d), "This graph is not Eulerian");
 		    check(!eulerian(g), "This graph is not Eulerian");
+		  }
 		  return 0;
+		}

test/fractional_matching_test.cc

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#include <iostream>
 		#include <sstream>
 		#include <vector>
 		#include <queue>
 		#include <cstdlib>
 		#include <lemon/fractional_matching.h>
 		#include <lemon/smart_graph.h>
 		#include <lemon/concepts/graph.h>
 		#include <lemon/concepts/maps.h>
 		#include <lemon/lgf_reader.h>
@@ -217,49 +217,49 @@
+		}
 		void checkFractionalMatching(const SmartGraph& graph,
 		                             const MaxFractionalMatching<SmartGraph>& mfm,
 		                             bool allow_loops = true) {
 		  int pv = 0;
 		  for (SmartGraph::NodeIt n(graph); n != INVALID; ++n) {
 		    int indeg = 0;
 		    for (InArcIt a(graph, n); a != INVALID; ++a) {
 		      if (mfm.matching(graph.source(a)) == a) {
 		        ++indeg;
+		      }
+		    }
 		    if (mfm.matching(n) != INVALID) {
 		      check(indeg == 1, "Invalid matching");
 		      ++pv;
 		    } else {
 		      check(indeg == 0, "Invalid matching");
+		    }
+		  }
 		  check(pv == mfm.matchingSize(), "Wrong matching size");
 		  for (SmartGraph::EdgeIt e(graph); e != INVALID; ++e) {
 		    check((e == mfm.matching(graph.u(e)) ? 1 : 0) +
-		          (e == mfm.matching(graph.v(e)) ? 1 : 0) ==
 		          (e == mfm.matching(graph.v(e)) ? 1 : 0) ==
 		          mfm.matching(e), "Invalid matching");
+		  }
 		  SmartGraph::NodeMap<bool> processed(graph, false);
 		  for (SmartGraph::NodeIt n(graph); n != INVALID; ++n) {
 		    if (processed[n]) continue;
 		    processed[n] = true;
 		    if (mfm.matching(n) == INVALID) continue;
 		    int num = 1;
 		    Node v = graph.target(mfm.matching(n));
 		    while (v != n) {
 		      processed[v] = true;
 		      ++num;
 		      v = graph.target(mfm.matching(v));
+		    }
 		    check(num == 2 || num % 2 == 1, "Wrong cycle size");
 		    check(allow_loops || num != 1, "Wrong cycle size");
+		  }
 		  int anum = 0, bnum = 0;
 		  SmartGraph::NodeMap<bool> neighbours(graph, false);
 		  for (SmartGraph::NodeIt n(graph); n != INVALID; ++n) {
 		    if (!mfm.barrier(n)) continue;
 		    ++anum;
@@ -271,49 +271,49 @@
 		        ++bnum;
+		      }
+		    }
+		  }
 		  check(anum - bnum + mfm.matchingSize() == countNodes(graph),
 		        "Wrong barrier");
+		}
 		void checkPerfectFractionalMatching(const SmartGraph& graph,
 		                             const MaxFractionalMatching<SmartGraph>& mfm,
 		                             bool perfect, bool allow_loops = true) {
 		  if (perfect) {
 		    for (SmartGraph::NodeIt n(graph); n != INVALID; ++n) {
 		      int indeg = 0;
 		      for (InArcIt a(graph, n); a != INVALID; ++a) {
 		        if (mfm.matching(graph.source(a)) == a) {
 		          ++indeg;
+		        }
+		      }
 		      check(mfm.matching(n) != INVALID, "Invalid matching");
 		      check(indeg == 1, "Invalid matching");
+		    }
 		    for (SmartGraph::EdgeIt e(graph); e != INVALID; ++e) {
 		      check((e == mfm.matching(graph.u(e)) ? 1 : 0) +
-		            (e == mfm.matching(graph.v(e)) ? 1 : 0) ==
 		            (e == mfm.matching(graph.v(e)) ? 1 : 0) ==
 		            mfm.matching(e), "Invalid matching");
+		    }
 		  } else {
 		    int anum = 0, bnum = 0;
 		    SmartGraph::NodeMap<bool> neighbours(graph, false);
 		    for (SmartGraph::NodeIt n(graph); n != INVALID; ++n) {
 		      if (!mfm.barrier(n)) continue;
 		      ++anum;
 		      for (SmartGraph::InArcIt a(graph, n); a != INVALID; ++a) {
 		        Node u = graph.source(a);
 		        if (!allow_loops && u == n) continue;
 		        if (!neighbours[u]) {
 		          neighbours[u] = true;
 		          ++bnum;
+		        }
+		      }
+		    }
 		    check(anum - bnum > 0, "Wrong barrier");
+		  }
+		}
 		void checkWeightedFractionalMatching(const SmartGraph& graph,
 		                   const SmartGraph::EdgeMap<int>& weight,
 		                   const MaxWeightedFractionalMatching<SmartGraph>& mwfm,
@@ -329,49 +329,49 @@
+		  }
 		  int pv = 0;
 		  for (SmartGraph::NodeIt n(graph); n != INVALID; ++n) {
 		    int indeg = 0;
 		    for (InArcIt a(graph, n); a != INVALID; ++a) {
 		      if (mwfm.matching(graph.source(a)) == a) {
 		        ++indeg;
+		      }
+		    }
 		    check(indeg <= 1, "Invalid matching");
 		    if (mwfm.matching(n) != INVALID) {
 		      check(mwfm.nodeValue(n) >= 0, "Invalid node value");
 		      check(indeg == 1, "Invalid matching");
 		      pv += weight[mwfm.matching(n)];
 		      SmartGraph::Node o = graph.target(mwfm.matching(n));
 		    } else {
 		      check(mwfm.nodeValue(n) == 0, "Invalid matching");
 		      check(indeg == 0, "Invalid matching");
+		    }
+		  }
 		  for (SmartGraph::EdgeIt e(graph); e != INVALID; ++e) {
 		    check((e == mwfm.matching(graph.u(e)) ? 1 : 0) +
-		          (e == mwfm.matching(graph.v(e)) ? 1 : 0) ==
 		          (e == mwfm.matching(graph.v(e)) ? 1 : 0) ==
 		          mwfm.matching(e), "Invalid matching");
+		  }
 		  int dv = 0;
 		  for (SmartGraph::NodeIt n(graph); n != INVALID; ++n) {
 		    dv += mwfm.nodeValue(n);
+		  }
 		  check(pv * mwfm.dualScale == dv * 2, "Wrong duality");
 		  SmartGraph::NodeMap<bool> processed(graph, false);
 		  for (SmartGraph::NodeIt n(graph); n != INVALID; ++n) {
 		    if (processed[n]) continue;
 		    processed[n] = true;
 		    if (mwfm.matching(n) == INVALID) continue;
 		    int num = 1;
 		    Node v = graph.target(mwfm.matching(n));
 		    while (v != n) {
 		      processed[v] = true;
 		      ++num;
 		      v = graph.target(mwfm.matching(v));
+		    }
 		    check(num == 2 || num % 2 == 1, "Wrong cycle size");
 		    check(allow_loops || num != 1, "Wrong cycle size");
@@ -389,49 +389,49 @@
 		    int rw = mwpfm.nodeValue(graph.u(e)) + mwpfm.nodeValue(graph.v(e))
 		      - weight[e] * mwpfm.dualScale;
 		    check(rw >= 0, "Negative reduced weight");
 		    check(rw == 0 || !mwpfm.matching(e),
 		          "Non-zero reduced weight on matching edge");
+		  }
 		  int pv = 0;
 		  for (SmartGraph::NodeIt n(graph); n != INVALID; ++n) {
 		    int indeg = 0;
 		    for (InArcIt a(graph, n); a != INVALID; ++a) {
 		      if (mwpfm.matching(graph.source(a)) == a) {
 		        ++indeg;
+		      }
+		    }
 		    check(mwpfm.matching(n) != INVALID, "Invalid perfect matching");
 		    check(indeg == 1, "Invalid perfect matching");
 		    pv += weight[mwpfm.matching(n)];
 		    SmartGraph::Node o = graph.target(mwpfm.matching(n));
+		  }
 		  for (SmartGraph::EdgeIt e(graph); e != INVALID; ++e) {
 		    check((e == mwpfm.matching(graph.u(e)) ? 1 : 0) +
-		          (e == mwpfm.matching(graph.v(e)) ? 1 : 0) ==
 		          (e == mwpfm.matching(graph.v(e)) ? 1 : 0) ==
 		          mwpfm.matching(e), "Invalid matching");
+		  }
 		  int dv = 0;
 		  for (SmartGraph::NodeIt n(graph); n != INVALID; ++n) {
 		    dv += mwpfm.nodeValue(n);
+		  }
 		  check(pv * mwpfm.dualScale == dv * 2, "Wrong duality");
 		  SmartGraph::NodeMap<bool> processed(graph, false);
 		  for (SmartGraph::NodeIt n(graph); n != INVALID; ++n) {
 		    if (processed[n]) continue;
 		    processed[n] = true;
 		    if (mwpfm.matching(n) == INVALID) continue;
 		    int num = 1;
 		    Node v = graph.target(mwpfm.matching(n));
 		    while (v != n) {
 		      processed[v] = true;
 		      ++num;
 		      v = graph.target(mwpfm.matching(v));
+		    }
 		    check(num == 2 || num % 2 == 1, "Wrong cycle size");
 		    check(allow_loops || num != 1, "Wrong cycle size");

test/gomory_hu_test.cc

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
 		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#include <iostream>
 		#include "test_tools.h"
 		#include <lemon/smart_graph.h>
 		#include <lemon/concepts/graph.h>
 		#include <lemon/concepts/maps.h>
 		#include <lemon/lgf_reader.h>
 		#include <lemon/gomory_hu.h>
 		#include <cstdlib>
 		using namespace std;
 		using namespace lemon;
 		typedef SmartGraph Graph;
 		char test_lgf[] =
 		  "@nodes\n"
 		  "label\n"
 		  "0\n"
 		  "1\n"
 		  "2\n"
 		  "3\n"
 		  "4\n"
 		  "@arcs\n"
 		  "     label capacity\n"
 		  "0 1  0     1\n"
 		  "1 2  1     1\n"
 		  "2 3  2     1\n"
 		  "0 3  4     5\n"
 		  "0 3  5     10\n"
 		  "0 3  6     7\n"
 		  "4 2  7     1\n"
 		  "@attributes\n"
 		  "source 0\n"
 		  "target 3\n";
 		void checkGomoryHuCompile()
+		{
 		  typedef int Value;
 		  typedef concepts::Graph Graph;
 		  typedef Graph::Node Node;
 		  typedef Graph::Edge Edge;
 		  typedef concepts::ReadMap<Edge, Value> CapMap;
 		  typedef concepts::ReadWriteMap<Node, bool> CutMap;
 		  Graph g;
 		  Node n;
 		  CapMap cap;
 		  CutMap cut;
 		  Value v;
 		  int d;
 		  GomoryHu<Graph, CapMap> gh_test(g, cap);
 		  const GomoryHu<Graph, CapMap>&
 		    const_gh_test = gh_test;
 		  gh_test.run();
 		  n = const_gh_test.predNode(n);
 		  v = const_gh_test.predValue(n);
 		  d = const_gh_test.rootDist(n);
 		  v = const_gh_test.minCutValue(n, n);
 		  v = const_gh_test.minCutMap(n, n, cut);
+		}
 		GRAPH_TYPEDEFS(Graph);
 		typedef Graph::EdgeMap<int> IntEdgeMap;
 		typedef Graph::NodeMap<bool> BoolNodeMap;
 		int cutValue(const Graph& graph, const BoolNodeMap& cut,
-			     const IntEdgeMap& capacity) {
+		             const IntEdgeMap& capacity) {
 		  int sum = 0;
 		  for (EdgeIt e(graph); e != INVALID; ++e) {
 		    Node s = graph.u(e);
 		    Node t = graph.v(e);
 		    if (cut[s] != cut[t]) {
 		      sum += capacity[e];
+		    }
+		  }
 		  return sum;
+		}
 		int main() {
 		  Graph graph;
 		  IntEdgeMap capacity(graph);
 		  std::istringstream input(test_lgf);
 		  GraphReader<Graph>(graph, input).
 		    edgeMap("capacity", capacity).run();
 		  GomoryHu<Graph> ght(graph, capacity);
 		  ght.run();
 		  for (NodeIt u(graph); u != INVALID; ++u) {
 		    for (NodeIt v(graph); v != u; ++v) {
 		      Preflow<Graph, IntEdgeMap> pf(graph, capacity, u, v);
 		      pf.runMinCut();
 		      BoolNodeMap cm(graph);
 		      ght.minCutMap(u, v, cm);
 		      check(pf.flowValue() == ght.minCutValue(u, v), "Wrong cut 1");
 		      check(cm[u] != cm[v], "Wrong cut 2");
 		      check(pf.flowValue() == cutValue(graph, cm, capacity), "Wrong cut 3");
 		      int sum=0;
 		      for(GomoryHu<Graph>::MinCutEdgeIt a(ght, u, v);a!=INVALID;++a)
-		        sum+=capacity[a];
 		        sum+=capacity[a];
 		      check(sum == ght.minCutValue(u, v), "Problem with MinCutEdgeIt");
 		      sum=0;
 		      for(GomoryHu<Graph>::MinCutNodeIt n(ght, u, v,true);n!=INVALID;++n)
 		        sum++;
 		      for(GomoryHu<Graph>::MinCutNodeIt n(ght, u, v,false);n!=INVALID;++n)
 		        sum++;
 		      check(sum == countNodes(graph), "Problem with MinCutNodeIt");
+		    }
+		  }
 		  return 0;
+		}

test/graph_test.cc

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#include <lemon/concepts/graph.h>
 		#include <lemon/list_graph.h>
 		#include <lemon/smart_graph.h>
 		#include <lemon/full_graph.h>
 		#include <lemon/grid_graph.h>
 		#include <lemon/hypercube_graph.h>
 		#include "test_tools.h"
 		#include "graph_test.h"
 		using namespace lemon;
@@ -243,49 +243,49 @@
 		  checkGraphIncEdgeArcLists(G, n2, 3);
 		  checkGraphIncEdgeArcLists(G, n3, 1);
 		  checkGraphConEdgeList(G, 3);
 		  checkGraphConArcList(G, 6);
 		  checkNodeIds(G);
 		  checkEdgeIds(G);
 		  checkArcIds(G);
 		  checkGraphNodeMap(G);
 		  checkGraphEdgeMap(G);
 		  checkGraphArcMap(G);
 		  G.addNode();
 		  snapshot.save(G);
 		  G.addEdge(G.addNode(), G.addNode());
 		  snapshot.restore();
 		  snapshot.save(G);
 		  checkGraphNodeList(G, 4);
 		  checkGraphEdgeList(G, 3);
 		  checkGraphArcList(G, 6);
 		  G.addEdge(G.addNode(), G.addNode());
 		  snapshot.restore();
 		  checkGraphNodeList(G, 4);
 		  checkGraphEdgeList(G, 3);
 		  checkGraphArcList(G, 6);
+		}
 		void checkFullGraph(int num) {
 		  typedef FullGraph Graph;
 		  GRAPH_TYPEDEFS(Graph);
 		  Graph G(num);
 		  check(G.nodeNum() == num && G.edgeNum() == num * (num - 1) / 2,
 		        "Wrong size");
 		  G.resize(num);
 		  check(G.nodeNum() == num && G.edgeNum() == num * (num - 1) / 2,
 		        "Wrong size");
 		  checkGraphNodeList(G, num);
 		  checkGraphEdgeList(G, num * (num - 1) / 2);
@@ -492,49 +492,49 @@
+		  }
 		  checkArcDirections(G);
 		  checkGraphConArcList(G, 2 * (width * (height - 1) + (width - 1) * height));
 		  checkGraphConEdgeList(G, width * (height - 1) + (width - 1) * height);
 		  checkNodeIds(G);
 		  checkArcIds(G);
 		  checkEdgeIds(G);
 		  checkGraphNodeMap(G);
 		  checkGraphArcMap(G);
 		  checkGraphEdgeMap(G);
+		}
 		void checkHypercubeGraph(int dim) {
 		  GRAPH_TYPEDEFS(HypercubeGraph);
 		  HypercubeGraph G(dim);
 		  check(G.dimension() == dim, "Wrong dimension");
 		  G.resize(dim);
 		  check(G.dimension() == dim, "Wrong dimension");
 		  checkGraphNodeList(G, 1 << dim);
 		  checkGraphEdgeList(G, dim * (1 << (dim-1)));
 		  checkGraphArcList(G, dim * (1 << dim));
 		  Node n = G.nodeFromId(dim);
 		  for (NodeIt n(G); n != INVALID; ++n) {
 		    checkGraphIncEdgeList(G, n, dim);
 		    for (IncEdgeIt e(G, n); e != INVALID; ++e) {
 		      check( (G.u(e) == n &&
 		              G.id(G.v(e)) == (G.id(n) ^ (1 << G.dimension(e)))) ||
 		             (G.v(e) == n &&
 		              G.id(G.u(e)) == (G.id(n) ^ (1 << G.dimension(e)))),
 		             "Wrong edge or wrong dimension");
+		    }
 		    checkGraphOutArcList(G, n, dim);
 		    for (OutArcIt a(G, n); a != INVALID; ++a) {
 		      check(G.source(a) == n &&
 		            G.id(G.target(a)) == (G.id(n) ^ (1 << G.dimension(a))),
 		            "Wrong arc or wrong dimension");
+		    }
 		    checkGraphInArcList(G, n, dim);

test/hao_orlin_test.cc

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#include <sstream>
 		#include <lemon/smart_graph.h>
 		#include <lemon/adaptors.h>
 		#include <lemon/concepts/digraph.h>
 		#include <lemon/concepts/maps.h>
 		#include <lemon/lgf_reader.h>
 		#include <lemon/hao_orlin.h>
 		#include "test_tools.h"
@@ -62,102 +62,102 @@
 		  typedef concepts::WriteMap<Node, bool> CutMap;
 		  Digraph g;
 		  Node n;
 		  CapMap cap;
 		  CutMap cut;
 		  Value v;
 		  HaoOrlin<Digraph, CapMap> ho_test(g, cap);
 		  const HaoOrlin<Digraph, CapMap>&
 		    const_ho_test = ho_test;
 		  ho_test.init();
 		  ho_test.init(n);
 		  ho_test.calculateOut();
 		  ho_test.calculateIn();
 		  ho_test.run();
 		  ho_test.run(n);
 		  v = const_ho_test.minCutValue();
 		  v = const_ho_test.minCutMap(cut);
+		}
 		template <typename Graph, typename CapMap, typename CutMap>
-		typename CapMap::Value
 		typename CapMap::Value
 		  cutValue(const Graph& graph, const CapMap& cap, const CutMap& cut)
+		{
 		  typename CapMap::Value sum = 0;
 		  for (typename Graph::ArcIt a(graph); a != INVALID; ++a) {
 		    if (cut[graph.source(a)] && !cut[graph.target(a)])
 		      sum += cap[a];
+		  }
 		  return sum;
+		}
 		int main() {
 		  SmartDigraph graph;
 		  SmartDigraph::ArcMap<int> cap1(graph), cap2(graph), cap3(graph);
 		  SmartDigraph::NodeMap<bool> cut(graph);
 		  istringstream input(lgf);
 		  digraphReader(graph, input)
 		    .arcMap("cap1", cap1)
 		    .arcMap("cap2", cap2)
 		    .arcMap("cap3", cap3)
 		    .run();
+		  {
 		    HaoOrlin<SmartDigraph> ho(graph, cap1);
 		    ho.run();
 		    ho.minCutMap(cut);
 		    check(ho.minCutValue() == 1, "Wrong cut value");
 		    check(ho.minCutValue() == cutValue(graph, cap1, cut), "Wrong cut value");
+		  }
+		  {
 		    HaoOrlin<SmartDigraph> ho(graph, cap2);
 		    ho.run();
 		    ho.minCutMap(cut);
 		    check(ho.minCutValue() == 1, "Wrong cut value");
 		    check(ho.minCutValue() == cutValue(graph, cap2, cut), "Wrong cut value");
+		  }
+		  {
 		    HaoOrlin<SmartDigraph> ho(graph, cap3);
 		    ho.run();
 		    ho.minCutMap(cut);
 		    check(ho.minCutValue() == 1, "Wrong cut value");
 		    check(ho.minCutValue() == cutValue(graph, cap3, cut), "Wrong cut value");
+		  }
 		  typedef Undirector<SmartDigraph> UGraph;
 		  UGraph ugraph(graph);
+		  {
 		    HaoOrlin<UGraph, SmartDigraph::ArcMap<int> > ho(ugraph, cap1);
 		    ho.run();
 		    ho.minCutMap(cut);
 		    check(ho.minCutValue() == 2, "Wrong cut value");
 		    check(ho.minCutValue() == cutValue(ugraph, cap1, cut), "Wrong cut value");
+		  }
+		  {
 		    HaoOrlin<UGraph, SmartDigraph::ArcMap<int> > ho(ugraph, cap2);
 		    ho.run();
 		    ho.minCutMap(cut);
 		    check(ho.minCutValue() == 5, "Wrong cut value");
 		    check(ho.minCutValue() == cutValue(ugraph, cap2, cut), "Wrong cut value");
+		  }
+		  {
 		    HaoOrlin<UGraph, SmartDigraph::ArcMap<int> > ho(ugraph, cap3);
 		    ho.run();
 		    ho.minCutMap(cut);
 		    check(ho.minCutValue() == 5, "Wrong cut value");
 		    check(ho.minCutValue() == cutValue(ugraph, cap3, cut), "Wrong cut value");
+		  }
 		  return 0;
+		}

test/maps_test.cc

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#include <deque>
 		#include <set>
 		#include <lemon/concept_check.h>
 		#include <lemon/concepts/maps.h>
 		#include <lemon/maps.h>
 		#include <lemon/list_graph.h>
 		#include <lemon/smart_graph.h>
 		#include <lemon/adaptors.h>
 		#include <lemon/dfs.h>
 		#include <algorithm>
@@ -204,49 +204,50 @@
 		    check(!composeMap(m1,m2)[0] && composeMap(m1,m2)[1],
 		          "Something is wrong with ComposeMap")
+		  }
 		  // CombineMap
+		  {
 		    typedef CombineMap<DoubleMap, DoubleMap, std::plus<double> > CombMap;
 		    checkConcept<ReadMap<A,double>, CombMap>();
 		    CombMap map1 = CombMap(DoubleMap(), DoubleMap());
 		    CombMap map2 = combineMap(DoubleMap(), DoubleMap(), std::plus<double>());
 		    check(combineMap(constMap<B,int,2>(), identityMap<B>(), &binc)[B()] == 3,
 		          "Something is wrong with CombineMap");
+		  }
 		  // FunctorToMap, MapToFunctor
+		  {
 		    checkConcept<ReadMap<A,B>, FunctorToMap<F,A,B> >();
 		    checkConcept<ReadMap<A,B>, FunctorToMap<F> >();
 		    FunctorToMap<F> map1;
 		    FunctorToMap<F> map2 = FunctorToMap<F>(F());
 		    B b = functorToMap(F())[A()];
 		    checkConcept<ReadMap<A,B>, MapToFunctor<ReadMap<A,B> > >();
-		    MapToFunctor<ReadMap<A,B> > map = MapToFunctor<ReadMap<A,B> >(ReadMap<A,B>());
 		    MapToFunctor<ReadMap<A,B> > map =
 		      MapToFunctor<ReadMap<A,B> >(ReadMap<A,B>());
 		    check(functorToMap(&func)[A()] == 3,
 		          "Something is wrong with FunctorToMap");
 		    check(mapToFunctor(constMap<A,int>(2))(A()) == 2,
 		          "Something is wrong with MapToFunctor");
 		    check(mapToFunctor(functorToMap(&func))(A()) == 3 &&
 		          mapToFunctor(functorToMap(&func))[A()] == 3,
 		          "Something is wrong with FunctorToMap or MapToFunctor");
 		    check(functorToMap(mapToFunctor(constMap<A,int>(2)))[A()] == 2,
 		          "Something is wrong with FunctorToMap or MapToFunctor");
+		  }
 		  // ConvertMap
+		  {
 		    checkConcept<ReadMap<double,double>,
 		      ConvertMap<ReadMap<double, int>, double> >();
 		    ConvertMap<RangeMap<bool>, int> map1(rangeMap(1, true));
 		    ConvertMap<RangeMap<bool>, int> map2 = convertMap<int>(rangeMap(2, false));
+		  }
 		  // ForkMap
+		  {
 		    checkConcept<DoubleWriteMap, ForkMap<DoubleWriteMap, DoubleWriteMap> >();
@@ -356,301 +357,301 @@
 		    typedef std::vector<int> vec;
 		    checkConcept<WriteMap<int, bool>, LoggerBoolMap<vec::iterator> >();
 		    checkConcept<WriteMap<int, bool>,
 		                 LoggerBoolMap<std::back_insert_iterator<vec> > >();
 		    vec v1;
 		    vec v2(10);
 		    LoggerBoolMap<std::back_insert_iterator<vec> >
 		      map1(std::back_inserter(v1));
 		    LoggerBoolMap<vec::iterator> map2(v2.begin());
 		    map1.set(10, false);
 		    map1.set(20, true);   map2.set(20, true);
 		    map1.set(30, false);  map2.set(40, false);
 		    map1.set(50, true);   map2.set(50, true);
 		    map1.set(60, true);   map2.set(60, true);
 		    check(v1.size() == 3 && v2.size() == 10 &&
 		          v1[0]==20 && v1[1]==50 && v1[2]==60 &&
 		          v2[0]==20 && v2[1]==50 && v2[2]==60,
 		          "Something is wrong with LoggerBoolMap");
 		    int i = 0;
 		    for ( LoggerBoolMap<vec::iterator>::Iterator it = map2.begin();
 		          it != map2.end(); ++it )
 		      check(v1[i++] == *it, "Something is wrong with LoggerBoolMap");
 		    typedef ListDigraph Graph;
 		    DIGRAPH_TYPEDEFS(Graph);
 		    Graph gr;
 		    Node n0 = gr.addNode();
 		    Node n1 = gr.addNode();
 		    Node n2 = gr.addNode();
 		    Node n3 = gr.addNode();
 		    gr.addArc(n3, n0);
 		    gr.addArc(n3, n2);
 		    gr.addArc(n0, n2);
 		    gr.addArc(n2, n1);
 		    gr.addArc(n0, n1);
+		    {
 		      std::vector<Node> v;
 		      dfs(gr).processedMap(loggerBoolMap(std::back_inserter(v))).run();
 		      check(v.size()==4 && v[0]==n1 && v[1]==n2 && v[2]==n0 && v[3]==n3,
 		            "Something is wrong with LoggerBoolMap");
+		    }
+		    {
 		      std::vector<Node> v(countNodes(gr));
 		      dfs(gr).processedMap(loggerBoolMap(v.begin())).run();
 		      check(v.size()==4 && v[0]==n1 && v[1]==n2 && v[2]==n0 && v[3]==n3,
 		            "Something is wrong with LoggerBoolMap");
+		    }
+		  }
 		  // IdMap, RangeIdMap
+		  {
 		    typedef ListDigraph Graph;
 		    DIGRAPH_TYPEDEFS(Graph);
 		    checkConcept<ReadMap<Node, int>, IdMap<Graph, Node> >();
 		    checkConcept<ReadMap<Arc, int>, IdMap<Graph, Arc> >();
 		    checkConcept<ReadMap<Node, int>, RangeIdMap<Graph, Node> >();
 		    checkConcept<ReadMap<Arc, int>, RangeIdMap<Graph, Arc> >();
 		    Graph gr;
 		    IdMap<Graph, Node> nmap(gr);
 		    IdMap<Graph, Arc> amap(gr);
 		    RangeIdMap<Graph, Node> nrmap(gr);
 		    RangeIdMap<Graph, Arc> armap(gr);
 		    Node n0 = gr.addNode();
 		    Node n1 = gr.addNode();
 		    Node n2 = gr.addNode();
 		    Arc a0 = gr.addArc(n0, n1);
 		    Arc a1 = gr.addArc(n0, n2);
 		    Arc a2 = gr.addArc(n2, n1);
 		    Arc a3 = gr.addArc(n2, n0);
 		    check(nmap[n0] == gr.id(n0) && nmap(gr.id(n0)) == n0, "Wrong IdMap");
 		    check(nmap[n1] == gr.id(n1) && nmap(gr.id(n1)) == n1, "Wrong IdMap");
 		    check(nmap[n2] == gr.id(n2) && nmap(gr.id(n2)) == n2, "Wrong IdMap");
 		    check(amap[a0] == gr.id(a0) && amap(gr.id(a0)) == a0, "Wrong IdMap");
 		    check(amap[a1] == gr.id(a1) && amap(gr.id(a1)) == a1, "Wrong IdMap");
 		    check(amap[a2] == gr.id(a2) && amap(gr.id(a2)) == a2, "Wrong IdMap");
 		    check(amap[a3] == gr.id(a3) && amap(gr.id(a3)) == a3, "Wrong IdMap");
 		    check(nmap.inverse()[gr.id(n0)] == n0, "Wrong IdMap::InverseMap");
 		    check(amap.inverse()[gr.id(a0)] == a0, "Wrong IdMap::InverseMap");
 		    check(nrmap.size() == 3 && armap.size() == 4,
 		          "Wrong RangeIdMap::size()");
 		    check(nrmap[n0] == 0 && nrmap(0) == n0, "Wrong RangeIdMap");
 		    check(nrmap[n1] == 1 && nrmap(1) == n1, "Wrong RangeIdMap");
 		    check(nrmap[n2] == 2 && nrmap(2) == n2, "Wrong RangeIdMap");
 		    check(armap[a0] == 0 && armap(0) == a0, "Wrong RangeIdMap");
 		    check(armap[a1] == 1 && armap(1) == a1, "Wrong RangeIdMap");
 		    check(armap[a2] == 2 && armap(2) == a2, "Wrong RangeIdMap");
 		    check(armap[a3] == 3 && armap(3) == a3, "Wrong RangeIdMap");
 		    check(nrmap.inverse()[0] == n0, "Wrong RangeIdMap::InverseMap");
 		    check(armap.inverse()[0] == a0, "Wrong RangeIdMap::InverseMap");
 		    gr.erase(n1);
 		    if (nrmap[n0] == 1) nrmap.swap(n0, n2);
 		    nrmap.swap(n2, n0);
 		    if (armap[a1] == 1) armap.swap(a1, a3);
 		    armap.swap(a3, a1);
 		    check(nrmap.size() == 2 && armap.size() == 2,
 		          "Wrong RangeIdMap::size()");
 		    check(nrmap[n0] == 1 && nrmap(1) == n0, "Wrong RangeIdMap");
 		    check(nrmap[n2] == 0 && nrmap(0) == n2, "Wrong RangeIdMap");
 		    check(armap[a1] == 1 && armap(1) == a1, "Wrong RangeIdMap");
 		    check(armap[a3] == 0 && armap(0) == a3, "Wrong RangeIdMap");
 		    check(nrmap.inverse()[0] == n2, "Wrong RangeIdMap::InverseMap");
 		    check(armap.inverse()[0] == a3, "Wrong RangeIdMap::InverseMap");
+		  }
 		  // SourceMap, TargetMap, ForwardMap, BackwardMap, InDegMap, OutDegMap
+		  {
 		    typedef ListGraph Graph;
 		    GRAPH_TYPEDEFS(Graph);
 		    checkConcept<ReadMap<Arc, Node>, SourceMap<Graph> >();
 		    checkConcept<ReadMap<Arc, Node>, TargetMap<Graph> >();
 		    checkConcept<ReadMap<Edge, Arc>, ForwardMap<Graph> >();
 		    checkConcept<ReadMap<Edge, Arc>, BackwardMap<Graph> >();
 		    checkConcept<ReadMap<Node, int>, InDegMap<Graph> >();
 		    checkConcept<ReadMap<Node, int>, OutDegMap<Graph> >();
 		    Graph gr;
 		    Node n0 = gr.addNode();
 		    Node n1 = gr.addNode();
 		    Node n2 = gr.addNode();
 		    gr.addEdge(n0,n1);
 		    gr.addEdge(n1,n2);
 		    gr.addEdge(n0,n2);
 		    gr.addEdge(n2,n1);
 		    gr.addEdge(n1,n2);
 		    gr.addEdge(n0,n1);
 		    for (EdgeIt e(gr); e != INVALID; ++e) {
 		      check(forwardMap(gr)[e] == gr.direct(e, true), "Wrong ForwardMap");
 		      check(backwardMap(gr)[e] == gr.direct(e, false), "Wrong BackwardMap");
+		    }
 		    check(mapCompare(gr,
 		          sourceMap(orienter(gr, constMap<Edge, bool>(true))),
 		          targetMap(orienter(gr, constMap<Edge, bool>(false)))),
 		          "Wrong SourceMap or TargetMap");
 		    typedef Orienter<Graph, const ConstMap<Edge, bool> > Digraph;
 		    Digraph dgr(gr, constMap<Edge, bool>(true));
 		    OutDegMap<Digraph> odm(dgr);
 		    InDegMap<Digraph> idm(dgr);
 		    check(odm[n0] == 3 && odm[n1] == 2 && odm[n2] == 1, "Wrong OutDegMap");
 		    check(idm[n0] == 0 && idm[n1] == 3 && idm[n2] == 3, "Wrong InDegMap");
 		    gr.addEdge(n2, n0);
 		    check(odm[n0] == 3 && odm[n1] == 2 && odm[n2] == 2, "Wrong OutDegMap");
 		    check(idm[n0] == 1 && idm[n1] == 3 && idm[n2] == 3, "Wrong InDegMap");
+		  }
 		  // CrossRefMap
+		  {
 		    typedef ListDigraph Graph;
 		    DIGRAPH_TYPEDEFS(Graph);
 		    checkConcept<ReadWriteMap<Node, int>,
 		                 CrossRefMap<Graph, Node, int> >();
 		    checkConcept<ReadWriteMap<Node, bool>,
 		                 CrossRefMap<Graph, Node, bool> >();
 		    checkConcept<ReadWriteMap<Node, double>,
 		                 CrossRefMap<Graph, Node, double> >();
 		    Graph gr;
 		    typedef CrossRefMap<Graph, Node, char> CRMap;
 		    CRMap map(gr);
 		    Node n0 = gr.addNode();
 		    Node n1 = gr.addNode();
 		    Node n2 = gr.addNode();
 		    map.set(n0, 'A');
 		    map.set(n1, 'B');
 		    map.set(n2, 'C');
 		    check(map[n0] == 'A' && map('A') == n0 && map.inverse()['A'] == n0,
 		          "Wrong CrossRefMap");
 		    check(map[n1] == 'B' && map('B') == n1 && map.inverse()['B'] == n1,
 		          "Wrong CrossRefMap");
 		    check(map[n2] == 'C' && map('C') == n2 && map.inverse()['C'] == n2,
 		          "Wrong CrossRefMap");
 		    check(map.count('A') == 1 && map.count('B') == 1 && map.count('C') == 1,
 		          "Wrong CrossRefMap::count()");
 		    CRMap::ValueIt it = map.beginValue();
 		    check(*it++ == 'A' && *it++ == 'B' && *it++ == 'C' &&
 		          it == map.endValue(), "Wrong value iterator");
 		    map.set(n2, 'A');
 		    check(map[n0] == 'A' && map[n1] == 'B' && map[n2] == 'A',
 		          "Wrong CrossRefMap");
 		    check(map('A') == n0 && map.inverse()['A'] == n0, "Wrong CrossRefMap");
 		    check(map('B') == n1 && map.inverse()['B'] == n1, "Wrong CrossRefMap");
 		    check(map('C') == INVALID && map.inverse()['C'] == INVALID,
 		          "Wrong CrossRefMap");
 		    check(map.count('A') == 2 && map.count('B') == 1 && map.count('C') == 0,
 		          "Wrong CrossRefMap::count()");
 		    it = map.beginValue();
 		    check(*it++ == 'A' && *it++ == 'A' && *it++ == 'B' &&
 		          it == map.endValue(), "Wrong value iterator");
 		    map.set(n0, 'C');
 		    check(map[n0] == 'C' && map[n1] == 'B' && map[n2] == 'A',
 		          "Wrong CrossRefMap");
 		    check(map('A') == n2 && map.inverse()['A'] == n2, "Wrong CrossRefMap");
 		    check(map('B') == n1 && map.inverse()['B'] == n1, "Wrong CrossRefMap");
 		    check(map('C') == n0 && map.inverse()['C'] == n0, "Wrong CrossRefMap");
 		    check(map.count('A') == 1 && map.count('B') == 1 && map.count('C') == 1,
 		          "Wrong CrossRefMap::count()");
 		    it = map.beginValue();
 		    check(*it++ == 'A' && *it++ == 'B' && *it++ == 'C' &&
 		          it == map.endValue(), "Wrong value iterator");
+		  }
 		  // CrossRefMap
+		  {
 		    typedef SmartDigraph Graph;
 		    DIGRAPH_TYPEDEFS(Graph);
 		    checkConcept<ReadWriteMap<Node, int>,
 		                 CrossRefMap<Graph, Node, int> >();
 		    Graph gr;
 		    typedef CrossRefMap<Graph, Node, char> CRMap;
 		    typedef CRMap::ValueIterator ValueIt;
 		    CRMap map(gr);
 		    Node n0 = gr.addNode();
 		    Node n1 = gr.addNode();
 		    Node n2 = gr.addNode();
 		    map.set(n0, 'A');
 		    map.set(n1, 'B');
 		    map.set(n2, 'C');
 		    map.set(n2, 'A');
 		    map.set(n0, 'C');
 		    check(map[n0] == 'C' && map[n1] == 'B' && map[n2] == 'A',
 		          "Wrong CrossRefMap");
 		    check(map('A') == n2 && map.inverse()['A'] == n2, "Wrong CrossRefMap");
 		    check(map('B') == n1 && map.inverse()['B'] == n1, "Wrong CrossRefMap");
 		    check(map('C') == n0 && map.inverse()['C'] == n0, "Wrong CrossRefMap");
 		    ValueIt it = map.beginValue();
 		    check(*it++ == 'A' && *it++ == 'B' && *it++ == 'C' &&
 		          it == map.endValue(), "Wrong value iterator");
+		  }
 		  // Iterable bool map
+		  {
 		    typedef SmartGraph Graph;
 		    typedef SmartGraph::Node Item;
 		    typedef IterableBoolMap<SmartGraph, SmartGraph::Node> Ibm;
 		    checkConcept<ReferenceMap<Item, bool, bool&, const bool&>, Ibm>();
 		    const int num = 10;
 		    Graph g;
 		    std::vector<Item> items;
 		    for (int i = 0; i < num; ++i) {
 		      items.push_back(g.addNode());
+		    }
 		    Ibm map1(g, true);
 		    int n = 0;
 		    for (Ibm::TrueIt it(map1); it != INVALID; ++it) {
 		      check(map1[static_cast<Item>(it)], "Wrong TrueIt");
 		      ++n;
+		    }
 		    check(n == num, "Wrong number");
 		    n = 0;
@@ -796,89 +797,89 @@
 		         vit != map1.endValue(); ++vit) {
 		      check(map1[static_cast<Item>(Ivm::ItemIt(map1, *vit))] == *vit,
 		            "Wrong ValueIt");
+		    }
 		    for (int i = 0; i < num; ++i) {
 		      map1.set(items[i], static_cast<double>(i % 2));
+		    }
 		    check(distance(map1.beginValue(), map1.endValue()) == 2, "Wrong size");
 		    int n = 0;
 		    for (Ivm::ItemIt it(map1, 0.0); it != INVALID; ++it) {
 		      check(map1[static_cast<Item>(it)] == 0.0, "Wrong value");
 		      ++n;
+		    }
 		    check(n == (num + 1) / 2, "Wrong number");
 		    for (Ivm::ItemIt it(map1, 1.0); it != INVALID; ++it) {
 		      check(map1[static_cast<Item>(it)] == 1.0, "Wrong value");
 		      ++n;
+		    }
 		    check(n == num, "Wrong number");
+		  }
 		  // Graph map utilities:
 		  // mapMin(), mapMax(), mapMinValue(), mapMaxValue()
 		  // mapFind(), mapFindIf(), mapCount(), mapCountIf()
 		  // mapCopy(), mapCompare(), mapFill()
+		  {
 		    DIGRAPH_TYPEDEFS(SmartDigraph);
 		    SmartDigraph g;
 		    Node n1 = g.addNode();
 		    Node n2 = g.addNode();
 		    Node n3 = g.addNode();
 		    SmartDigraph::NodeMap<int> map1(g);
 		    SmartDigraph::ArcMap<char> map2(g);
 		    ConstMap<Node, A> cmap1 = A();
 		    ConstMap<Arc, C> cmap2 = C(0);
 		    map1[n1] = 10;
 		    map1[n2] = 5;
 		    map1[n3] = 12;
 		    // mapMin(), mapMax(), mapMinValue(), mapMaxValue()
 		    check(mapMin(g, map1) == n2, "Wrong mapMin()");
 		    check(mapMax(g, map1) == n3, "Wrong mapMax()");
 		    check(mapMin(g, map1, std::greater<int>()) == n3, "Wrong mapMin()");
 		    check(mapMax(g, map1, std::greater<int>()) == n2, "Wrong mapMax()");
 		    check(mapMinValue(g, map1) == 5, "Wrong mapMinValue()");
 		    check(mapMaxValue(g, map1) == 12, "Wrong mapMaxValue()");
 		    check(mapMin(g, map2) == INVALID, "Wrong mapMin()");
 		    check(mapMax(g, map2) == INVALID, "Wrong mapMax()");
 		    check(mapMin(g, cmap1) != INVALID, "Wrong mapMin()");
 		    check(mapMax(g, cmap2) == INVALID, "Wrong mapMax()");
 		    Arc a1 = g.addArc(n1, n2);
 		    Arc a2 = g.addArc(n1, n3);
 		    Arc a3 = g.addArc(n2, n3);
 		    Arc a4 = g.addArc(n3, n1);
 		    map2[a1] = 'b';
 		    map2[a2] = 'a';
 		    map2[a3] = 'b';
 		    map2[a4] = 'c';
 		    // mapMin(), mapMax(), mapMinValue(), mapMaxValue()
 		    check(mapMin(g, map2) == a2, "Wrong mapMin()");
 		    check(mapMax(g, map2) == a4, "Wrong mapMax()");
 		    check(mapMin(g, map2, std::greater<int>()) == a4, "Wrong mapMin()");
 		    check(mapMax(g, map2, std::greater<int>()) == a2, "Wrong mapMax()");
 		    check(mapMinValue(g, map2, std::greater<int>()) == 'c',
 		          "Wrong mapMinValue()");
 		    check(mapMaxValue(g, map2, std::greater<int>()) == 'a',
 		          "Wrong mapMaxValue()");
 		    check(mapMin(g, cmap1) != INVALID, "Wrong mapMin()");
 		    check(mapMax(g, cmap2) != INVALID, "Wrong mapMax()");
 		    check(mapMaxValue(g, cmap2) == C(0), "Wrong mapMaxValue()");
 		    check(mapMin(g, composeMap(functorToMap(&createC), map2)) == a2,
 		          "Wrong mapMin()");
 		    check(mapMax(g, composeMap(functorToMap(&createC), map2)) == a4,
 		          "Wrong mapMax()");
 		    check(mapMinValue(g, composeMap(functorToMap(&createC), map2)) == C('a'),
@@ -903,97 +904,97 @@
 		    check(mapFindIf(g, map2, Less<char>('a')) == INVALID,
 		          "Wrong mapFindIf()");
 		    // mapCount(), mapCountIf()
 		    check(mapCount(g, map1, 5) == 1, "Wrong mapCount()");
 		    check(mapCount(g, map1, 6) == 0, "Wrong mapCount()");
 		    check(mapCount(g, map2, 'a') == 1, "Wrong mapCount()");
 		    check(mapCount(g, map2, 'b') == 2, "Wrong mapCount()");
 		    check(mapCount(g, map2, 'e') == 0, "Wrong mapCount()");
 		    check(mapCount(g, cmap2, C(0)) == 4, "Wrong mapCount()");
 		    check(mapCount(g, cmap2, C(1)) == 0, "Wrong mapCount()");
 		    check(mapCountIf(g, map1, Less<int>(11)) == 2,
 		          "Wrong mapCountIf()");
 		    check(mapCountIf(g, map1, Less<int>(13)) == 3,
 		          "Wrong mapCountIf()");
 		    check(mapCountIf(g, map1, Less<int>(5)) == 0,
 		          "Wrong mapCountIf()");
 		    check(mapCountIf(g, map2, Less<char>('d')) == 4,
 		          "Wrong mapCountIf()");
 		    check(mapCountIf(g, map2, Less<char>('c')) == 3,
 		          "Wrong mapCountIf()");
 		    check(mapCountIf(g, map2, Less<char>('a')) == 0,
 		          "Wrong mapCountIf()");
 		    // MapIt, ConstMapIt
 		/*
 		These tests can be used after applying bugfix #330
 		    typedef SmartDigraph::NodeMap<int>::MapIt MapIt;
 		    typedef SmartDigraph::NodeMap<int>::ConstMapIt ConstMapIt;
 		    check(*std::min_element(MapIt(map1), MapIt(INVALID)) == 5,
 		          "Wrong NodeMap<>::MapIt");
 		    check(*std::max_element(ConstMapIt(map1), ConstMapIt(INVALID)) == 12,
 		          "Wrong NodeMap<>::MapIt");
 		    int sum = 0;
 		    std::for_each(MapIt(map1), MapIt(INVALID), Sum<int>(sum));
 		    check(sum == 27, "Wrong NodeMap<>::MapIt");
 		    std::for_each(ConstMapIt(map1), ConstMapIt(INVALID), Sum<int>(sum));
 		    check(sum == 54, "Wrong NodeMap<>::ConstMapIt");
 		*/
 		    // mapCopy(), mapCompare(), mapFill()
 		    check(mapCompare(g, map1, map1), "Wrong mapCompare()");
 		    check(mapCompare(g, cmap2, cmap2), "Wrong mapCompare()");
 		    check(mapCompare(g, map1, shiftMap(map1, 0)), "Wrong mapCompare()");
 		    check(mapCompare(g, map2, scaleMap(map2, 1)), "Wrong mapCompare()");
 		    check(!mapCompare(g, map1, shiftMap(map1, 1)), "Wrong mapCompare()");
 		    SmartDigraph::NodeMap<int> map3(g, 0);
 		    SmartDigraph::ArcMap<char> map4(g, 'a');
 		    check(!mapCompare(g, map1, map3), "Wrong mapCompare()");
 		    check(!mapCompare(g, map2, map4), "Wrong mapCompare()");
 		    check(!mapCompare(g, map2, map4), "Wrong mapCompare()");
 		    mapCopy(g, map1, map3);
 		    mapCopy(g, map2, map4);
 		    check(mapCompare(g, map1, map3), "Wrong mapCompare() or mapCopy()");
 		    check(mapCompare(g, map2, map4), "Wrong mapCompare() or mapCopy()");
 		    check(mapCompare(g, map2, map4), "Wrong mapCompare() or mapCopy()");
 		    Undirector<SmartDigraph> ug(g);
 		    Undirector<SmartDigraph>::EdgeMap<char> umap1(ug, 'x');
 		    Undirector<SmartDigraph>::ArcMap<double> umap2(ug, 3.14);
 		    check(!mapCompare(g, map2, umap1), "Wrong mapCompare() or mapCopy()");
 		    check(!mapCompare(g, umap1, map2), "Wrong mapCompare() or mapCopy()");
 		    check(!mapCompare(ug, map2, umap1), "Wrong mapCompare() or mapCopy()");
 		    check(!mapCompare(ug, umap1, map2), "Wrong mapCompare() or mapCopy()");
 		    mapCopy(g, map2, umap1);
 		    check(mapCompare(g, map2, umap1), "Wrong mapCompare() or mapCopy()");
 		    check(mapCompare(g, umap1, map2), "Wrong mapCompare() or mapCopy()");
 		    check(mapCompare(ug, map2, umap1), "Wrong mapCompare() or mapCopy()");
 		    check(mapCompare(ug, umap1, map2), "Wrong mapCompare() or mapCopy()");
 		    mapCopy(g, map2, umap1);
 		    mapCopy(g, umap1, map2);
 		    mapCopy(ug, map2, umap1);
 		    mapCopy(ug, umap1, map2);
 		    check(!mapCompare(ug, umap1, umap2), "Wrong mapCompare() or mapCopy()");
 		    mapCopy(ug, umap1, umap2);
 		    check(mapCompare(ug, umap1, umap2), "Wrong mapCompare() or mapCopy()");
 		    check(!mapCompare(g, map1, constMap<Node>(2)), "Wrong mapCompare()");
 		    mapFill(g, map1, 2);
 		    check(mapCompare(g, constMap<Node>(2), map1), "Wrong mapFill()");
 		    check(!mapCompare(g, map2, constMap<Arc>('z')), "Wrong mapCompare()");
 		    mapCopy(g, constMap<Arc>('z'), map2);
 		    check(mapCompare(g, constMap<Arc>('z'), map2), "Wrong mapCopy()");
+		  }
 		  return 0;
+		}

test/matching_test.cc

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#include <iostream>
 		#include <sstream>
 		#include <vector>
 		#include <queue>
 		#include <cstdlib>
 		#include <lemon/matching.h>
 		#include <lemon/smart_graph.h>
 		#include <lemon/concepts/graph.h>
 		#include <lemon/concepts/maps.h>
 		#include <lemon/lgf_reader.h>
@@ -113,130 +113,130 @@
 		};
 		void checkMaxMatchingCompile()
+		{
 		  typedef concepts::Graph Graph;
 		  typedef Graph::Node Node;
 		  typedef Graph::Edge Edge;
 		  typedef Graph::EdgeMap<bool> MatMap;
 		  Graph g;
 		  Node n;
 		  Edge e;
 		  MatMap mat(g);
 		  MaxMatching<Graph> mat_test(g);
 		  const MaxMatching<Graph>&
 		    const_mat_test = mat_test;
 		  mat_test.init();
 		  mat_test.greedyInit();
 		  mat_test.matchingInit(mat);
 		  mat_test.startSparse();
 		  mat_test.startDense();
 		  mat_test.run();
 		  const_mat_test.matchingSize();
 		  const_mat_test.matching(e);
 		  const_mat_test.matching(n);
 		  const MaxMatching<Graph>::MatchingMap& mmap =
 		    const_mat_test.matchingMap();
 		  e = mmap[n];
 		  const_mat_test.mate(n);
-		  MaxMatching<Graph>::Status stat =
 		  MaxMatching<Graph>::Status stat =
 		    const_mat_test.status(n);
 		  const MaxMatching<Graph>::StatusMap& smap =
 		    const_mat_test.statusMap();
 		  stat = smap[n];
 		  const_mat_test.barrier(n);
+		}
 		void checkMaxWeightedMatchingCompile()
+		{
 		  typedef concepts::Graph Graph;
 		  typedef Graph::Node Node;
 		  typedef Graph::Edge Edge;
 		  typedef Graph::EdgeMap<int> WeightMap;
 		  Graph g;
 		  Node n;
 		  Edge e;
 		  WeightMap w(g);
 		  MaxWeightedMatching<Graph> mat_test(g, w);
 		  const MaxWeightedMatching<Graph>&
 		    const_mat_test = mat_test;
 		  mat_test.init();
 		  mat_test.start();
 		  mat_test.run();
 		  const_mat_test.matchingWeight();
 		  const_mat_test.matchingSize();
 		  const_mat_test.matching(e);
 		  const_mat_test.matching(n);
 		  const MaxWeightedMatching<Graph>::MatchingMap& mmap =
 		    const_mat_test.matchingMap();
 		  e = mmap[n];
 		  const_mat_test.mate(n);
 		  int k = 0;
 		  const_mat_test.dualValue();
 		  const_mat_test.nodeValue(n);
 		  const_mat_test.blossomNum();
 		  const_mat_test.blossomSize(k);
 		  const_mat_test.blossomValue(k);
+		}
 		void checkMaxWeightedPerfectMatchingCompile()
+		{
 		  typedef concepts::Graph Graph;
 		  typedef Graph::Node Node;
 		  typedef Graph::Edge Edge;
 		  typedef Graph::EdgeMap<int> WeightMap;
 		  Graph g;
 		  Node n;
 		  Edge e;
 		  WeightMap w(g);
 		  MaxWeightedPerfectMatching<Graph> mat_test(g, w);
 		  const MaxWeightedPerfectMatching<Graph>&
 		    const_mat_test = mat_test;
 		  mat_test.init();
 		  mat_test.start();
 		  mat_test.run();
 		  const_mat_test.matchingWeight();
 		  const_mat_test.matching(e);
 		  const_mat_test.matching(n);
 		  const MaxWeightedPerfectMatching<Graph>::MatchingMap& mmap =
 		    const_mat_test.matchingMap();
 		  e = mmap[n];
 		  const_mat_test.mate(n);
 		  int k = 0;
 		  const_mat_test.dualValue();
 		  const_mat_test.nodeValue(n);
 		  const_mat_test.blossomNum();
 		  const_mat_test.blossomSize(k);
 		  const_mat_test.blossomValue(k);
+		}
 		void checkMatching(const SmartGraph& graph,
 		                   const MaxMatching<SmartGraph>& mm) {
 		  int num = 0;
 		  IntNodeMap comp_index(graph);
 		  UnionFind<IntNodeMap> comp(comp_index);
 		  int barrier_num = 0;
 		  for (NodeIt n(graph); n != INVALID; ++n) {
 		    check(mm.status(n) == MaxMatching<SmartGraph>::EVEN ||
 		          mm.matching(n) != INVALID, "Wrong Gallai-Edmonds decomposition");
 		    if (mm.status(n) == MaxMatching<SmartGraph>::ODD) {
 		      ++barrier_num;
 		    } else {
 		      comp.insert(n);
@@ -404,45 +404,45 @@
 		    bool perfect;
+		    {
 		      MaxMatching<SmartGraph> mm(graph);
 		      mm.run();
 		      checkMatching(graph, mm);
 		      perfect = 2 * mm.matchingSize() == countNodes(graph);
+		    }
+		    {
 		      MaxWeightedMatching<SmartGraph> mwm(graph, weight);
 		      mwm.run();
 		      checkWeightedMatching(graph, weight, mwm);
+		    }
+		    {
 		      MaxWeightedMatching<SmartGraph> mwm(graph, weight);
 		      mwm.init();
 		      mwm.start();
 		      checkWeightedMatching(graph, weight, mwm);
+		    }
+		    {
 		      MaxWeightedPerfectMatching<SmartGraph> mwpm(graph, weight);
 		      bool result = mwpm.run();
 		      check(result == perfect, "Perfect matching found");
 		      if (perfect) {
 		        checkWeightedPerfectMatching(graph, weight, mwpm);
+		      }
+		    }
+		    {
 		      MaxWeightedPerfectMatching<SmartGraph> mwpm(graph, weight);
 		      mwpm.init();
 		      bool result = mwpm.start();
 		      check(result == perfect, "Perfect matching found");
 		      if (perfect) {
 		        checkWeightedPerfectMatching(graph, weight, mwpm);
+		      }
+		    }
+		  }
 		  return 0;
+		}

test/min_cost_arborescence_test.cc

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2008
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#include <iostream>
 		#include <set>
 		#include <vector>
 		#include <iterator>
 		#include <lemon/smart_graph.h>
 		#include <lemon/min_cost_arborescence.h>
 		#include <lemon/lgf_reader.h>
 		#include <lemon/concepts/digraph.h>
 		#include "test_tools.h"
@@ -89,64 +89,64 @@
 		  Digraph g;
 		  Node s, n;
 		  Arc e;
 		  VType c;
 		  bool b;
 		  int i;
 		  CostMap cost;
 		  ArbMap arb;
 		  PredMap pred;
 		  MinCostArbType mcarb_test(g, cost);
 		  const MinCostArbType& const_mcarb_test = mcarb_test;
 		  mcarb_test
 		    .arborescenceMap(arb)
 		    .predMap(pred)
 		    .run(s);
 		  mcarb_test.init();
 		  mcarb_test.addSource(s);
 		  mcarb_test.start();
 		  n = mcarb_test.processNextNode();
 		  b = const_mcarb_test.emptyQueue();
 		  i = const_mcarb_test.queueSize();
 		  c = const_mcarb_test.arborescenceCost();
 		  b = const_mcarb_test.arborescence(e);
 		  e = const_mcarb_test.pred(n);
 		  const MinCostArbType::ArborescenceMap &am =
 		    const_mcarb_test.arborescenceMap();
 		  const MinCostArbType::PredMap &pm =
 		    const_mcarb_test.predMap();
 		  b = const_mcarb_test.reached(n);
 		  b = const_mcarb_test.processed(n);
 		  i = const_mcarb_test.dualNum();
 		  c = const_mcarb_test.dualValue();
 		  i = const_mcarb_test.dualSize(i);
 		  c = const_mcarb_test.dualValue(i);
 		  ignore_unused_variable_warning(am);
 		  ignore_unused_variable_warning(pm);
+		}
 		int main() {
 		  typedef SmartDigraph Digraph;
 		  DIGRAPH_TYPEDEFS(Digraph);
 		  typedef Digraph::ArcMap<double> CostMap;
 		  Digraph digraph;
 		  CostMap cost(digraph);
 		  Node source;
 		  std::istringstream is(test_lgf);
 		  digraphReader(digraph, is).
 		    arcMap("cost", cost).
 		    node("source", source).run();
 		  MinCostArborescence<Digraph, CostMap> mca(digraph, cost);
 		  mca.run(source);
 		  vector<pair<double, set<Node> > > dualSolution(mca.dualNum());

test/min_cost_flow_test.cc

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#include <iostream>
 		#include <fstream>
 		#include <limits>
 		#include <lemon/list_graph.h>
 		#include <lemon/lgf_reader.h>
 		#include <lemon/network_simplex.h>
 		#include <lemon/capacity_scaling.h>
 		#include <lemon/cost_scaling.h>
 		#include <lemon/cycle_canceling.h>
@@ -31,49 +31,49 @@
 		#include <lemon/concepts/digraph.h>
 		#include <lemon/concepts/heap.h>
 		#include <lemon/concept_check.h>
 		#include "test_tools.h"
 		using namespace lemon;
 		// Test networks
 		char test_lgf[] =
 		  "@nodes\n"
 		  "label  sup1 sup2 sup3 sup4 sup5 sup6\n"
 		  "    1    20   27    0   30   20   30\n"
 		  "    2    -4    0    0    0   -8   -3\n"
 		  "    3     0    0    0    0    0    0\n"
 		  "    4     0    0    0    0    0    0\n"
 		  "    5     9    0    0    0    6   11\n"
 		  "    6    -6    0    0    0   -5   -6\n"
 		  "    7     0    0    0    0    0    0\n"
 		  "    8     0    0    0    0    0    3\n"
 		  "    9     3    0    0    0    0    0\n"
 		  "   10    -2    0    0    0   -7   -2\n"
 		  "   11     0    0    0    0  -10    0\n"
 		  "   12   -20  -27    0  -30  -30  -20\n"
-		  "\n"
 		  "\n"
 		  "@arcs\n"
 		  "       cost  cap low1 low2 low3\n"
 		  " 1  2    70   11    0    8    8\n"
 		  " 1  3   150    3    0    1    0\n"
 		  " 1  4    80   15    0    2    2\n"
 		  " 2  8    80   12    0    0    0\n"
 		  " 3  5   140    5    0    3    1\n"
 		  " 4  6    60   10    0    1    0\n"
 		  " 4  7    80    2    0    0    0\n"
 		  " 4  8   110    3    0    0    0\n"
 		  " 5  7    60   14    0    0    0\n"
 		  " 5 11   120   12    0    0    0\n"
 		  " 6  3     0    3    0    0    0\n"
 		  " 6  9   140    4    0    0    0\n"
 		  " 6 10    90    8    0    0    0\n"
 		  " 7  1    30    5    0    0   -5\n"
 		  " 8 12    60   16    0    4    3\n"
 		  " 9 12    50    6    0    0    0\n"
 		  "10 12    70   13    0    5    2\n"
 		  "10  2   100    7    0    0    0\n"
 		  "10  7    60   10    0    0   -3\n"
 		  "11 10    20   14    0    6  -20\n"
 		  "12 11    30   10    0    0  -10\n"
 		  "\n"
@@ -81,127 +81,127 @@
 		  "source 1\n"
 		  "target 12\n";
 		char test_neg1_lgf[] =
 		  "@nodes\n"
 		  "label   sup\n"
 		  "    1   100\n"
 		  "    2     0\n"
 		  "    3     0\n"
 		  "    4  -100\n"
 		  "    5     0\n"
 		  "    6     0\n"
 		  "    7     0\n"
 		  "@arcs\n"
 		  "      cost   low1   low2\n"
 		  "1 2    100      0      0\n"
 		  "1 3     30      0      0\n"
 		  "2 4     20      0      0\n"
 		  "3 4     80      0      0\n"
 		  "3 2     50      0      0\n"
 		  "5 3     10      0      0\n"
 		  "5 6     80      0   1000\n"
 		  "6 7     30      0  -1000\n"
 		  "7 5   -120      0      0\n";
 		char test_neg2_lgf[] =
 		  "@nodes\n"
 		  "label   sup\n"
 		  "    1   100\n"
 		  "    2  -300\n"
 		  "@arcs\n"
 		  "      cost\n"
 		  "1 2     -1\n";
 		// Test data
 		typedef ListDigraph Digraph;
 		DIGRAPH_TYPEDEFS(ListDigraph);
 		Digraph gr;
 		Digraph::ArcMap<int> c(gr), l1(gr), l2(gr), l3(gr), u(gr);
 		Digraph::NodeMap<int> s1(gr), s2(gr), s3(gr), s4(gr), s5(gr), s6(gr);
 		ConstMap<Arc, int> cc(1), cu(std::numeric_limits<int>::max());
 		Node v, w;
 		Digraph neg1_gr;
 		Digraph::ArcMap<int> neg1_c(neg1_gr), neg1_l1(neg1_gr), neg1_l2(neg1_gr);
 		ConstMap<Arc, int> neg1_u1(std::numeric_limits<int>::max()), neg1_u2(5000);
 		Digraph::NodeMap<int> neg1_s(neg1_gr);
 		Digraph neg2_gr;
 		Digraph::ArcMap<int> neg2_c(neg2_gr);
 		ConstMap<Arc, int> neg2_l(0), neg2_u(1000);
 		Digraph::NodeMap<int> neg2_s(neg2_gr);
 		enum SupplyType {
 		  EQ,
 		  GEQ,
 		  LEQ
 		};
 		// Check the interface of an MCF algorithm
 		template <typename GR, typename Value, typename Cost>
 		class McfClassConcept
+		{
 		public:
 		  template <typename MCF>
 		  struct Constraints {
 		    void constraints() {
 		      checkConcept<concepts::Digraph, GR>();
 		      const Constraints& me = *this;
 		      MCF mcf(me.g);
 		      const MCF& const_mcf = mcf;
 		      b = mcf.reset().resetParams()
 		             .lowerMap(me.lower)
 		             .upperMap(me.upper)
 		             .costMap(me.cost)
 		             .supplyMap(me.sup)
 		             .stSupply(me.n, me.n, me.k)
 		             .run();
 		      c = const_mcf.totalCost();
 		      x = const_mcf.template totalCost<double>();
 		      v = const_mcf.flow(me.a);
 		      c = const_mcf.potential(me.n);
 		      const_mcf.flowMap(fm);
 		      const_mcf.potentialMap(pm);
+		    }
 		    typedef typename GR::Node Node;
 		    typedef typename GR::Arc Arc;
 		    typedef concepts::ReadMap<Node, Value> NM;
 		    typedef concepts::ReadMap<Arc, Value> VAM;
 		    typedef concepts::ReadMap<Arc, Cost> CAM;
 		    typedef concepts::WriteMap<Arc, Value> FlowMap;
 		    typedef concepts::WriteMap<Node, Cost> PotMap;
 		    GR g;
 		    VAM lower;
 		    VAM upper;
 		    CAM cost;
 		    NM sup;
 		    Node n;
 		    Arc a;
 		    Value k;
 		    FlowMap fm;
 		    PotMap pm;
 		    bool b;
 		    double x;
 		    typename MCF::Value v;
 		    typename MCF::Cost c;
 		  };
 		};
 		// Check the feasibility of the given flow (primal soluiton)
 		template < typename GR, typename LM, typename UM,
 		           typename SM, typename FM >
 		bool checkFlow( const GR& gr, const LM& lower, const UM& upper,
@@ -213,147 +213,147 @@
 		  for (ArcIt e(gr); e != INVALID; ++e) {
 		    if (flow[e] < lower[e] || flow[e] > upper[e]) return false;
+		  }
 		  for (NodeIt n(gr); n != INVALID; ++n) {
 		    typename SM::Value sum = 0;
 		    for (OutArcIt e(gr, n); e != INVALID; ++e)
 		      sum += flow[e];
 		    for (InArcIt e(gr, n); e != INVALID; ++e)
 		      sum -= flow[e];
 		    bool b = (type ==  EQ && sum == supply[n]) ||
 		             (type == GEQ && sum >= supply[n]) ||
 		             (type == LEQ && sum <= supply[n]);
 		    if (!b) return false;
+		  }
 		  return true;
+		}
 		// Check the feasibility of the given potentials (dual soluiton)
 		// using the "Complementary Slackness" optimality condition
 		template < typename GR, typename LM, typename UM,
 		           typename CM, typename SM, typename FM, typename PM >
 		bool checkPotential( const GR& gr, const LM& lower, const UM& upper,
-		                     const CM& cost, const SM& supply, const FM& flow,
 		                     const CM& cost, const SM& supply, const FM& flow,
 		                     const PM& pi, SupplyType type )
+		{
 		  TEMPLATE_DIGRAPH_TYPEDEFS(GR);
 		  bool opt = true;
 		  for (ArcIt e(gr); opt && e != INVALID; ++e) {
 		    typename CM::Value red_cost =
 		      cost[e] + pi[gr.source(e)] - pi[gr.target(e)];
 		    opt = red_cost == 0 ||
 		          (red_cost > 0 && flow[e] == lower[e]) ||
 		          (red_cost < 0 && flow[e] == upper[e]);
+		  }
 		  for (NodeIt n(gr); opt && n != INVALID; ++n) {
 		    typename SM::Value sum = 0;
 		    for (OutArcIt e(gr, n); e != INVALID; ++e)
 		      sum += flow[e];
 		    for (InArcIt e(gr, n); e != INVALID; ++e)
 		      sum -= flow[e];
 		    if (type != LEQ) {
 		      opt = (pi[n] <= 0) && (sum == supply[n] || pi[n] == 0);
 		    } else {
 		      opt = (pi[n] >= 0) && (sum == supply[n] || pi[n] == 0);
+		    }
+		  }
 		  return opt;
+		}
 		// Check whether the dual cost is equal to the primal cost
 		template < typename GR, typename LM, typename UM,
 		           typename CM, typename SM, typename PM >
 		bool checkDualCost( const GR& gr, const LM& lower, const UM& upper,
 		                    const CM& cost, const SM& supply, const PM& pi,
 		                    typename CM::Value total )
+		{
 		  TEMPLATE_DIGRAPH_TYPEDEFS(GR);
 		  typename CM::Value dual_cost = 0;
 		  SM red_supply(gr);
 		  for (NodeIt n(gr); n != INVALID; ++n) {
 		    red_supply[n] = supply[n];
+		  }
 		  for (ArcIt a(gr); a != INVALID; ++a) {
 		    if (lower[a] != 0) {
 		      dual_cost += lower[a] * cost[a];
 		      red_supply[gr.source(a)] -= lower[a];
 		      red_supply[gr.target(a)] += lower[a];
+		    }
+		  }
 		  for (NodeIt n(gr); n != INVALID; ++n) {
 		    dual_cost -= red_supply[n] * pi[n];
+		  }
 		  for (ArcIt a(gr); a != INVALID; ++a) {
 		    typename CM::Value red_cost =
 		      cost[a] + pi[gr.source(a)] - pi[gr.target(a)];
 		    dual_cost -= (upper[a] - lower[a]) * std::max(-red_cost, 0);
+		  }
 		  return dual_cost == total;
+		}
 		// Run a minimum cost flow algorithm and check the results
 		template < typename MCF, typename GR,
 		           typename LM, typename UM,
 		           typename CM, typename SM,
 		           typename PT >
 		void checkMcf( const MCF& mcf, PT mcf_result,
 		               const GR& gr, const LM& lower, const UM& upper,
 		               const CM& cost, const SM& supply,
 		               PT result, bool optimal, typename CM::Value total,
 		               const std::string &test_id = "",
 		               SupplyType type = EQ )
+		{
 		  check(mcf_result == result, "Wrong result " + test_id);
 		  if (optimal) {
 		    typename GR::template ArcMap<typename SM::Value> flow(gr);
 		    typename GR::template NodeMap<typename CM::Value> pi(gr);
 		    mcf.flowMap(flow);
 		    mcf.potentialMap(pi);
 		    check(checkFlow(gr, lower, upper, supply, flow, type),
 		          "The flow is not feasible " + test_id);
 		    check(mcf.totalCost() == total, "The flow is not optimal " + test_id);
 		    check(checkPotential(gr, lower, upper, cost, supply, flow, pi, type),
 		          "Wrong potentials " + test_id);
 		    check(checkDualCost(gr, lower, upper, cost, supply, pi, total),
 		          "Wrong dual cost " + test_id);
+		  }
+		}
 		template < typename MCF, typename Param >
 		void runMcfGeqTests( Param param,
 		                     const std::string &test_str = "",
 		                     bool full_neg_cost_support = false )
+		{
 		  MCF mcf1(gr), mcf2(neg1_gr), mcf3(neg2_gr);
 		  // Basic tests
 		  mcf1.upperMap(u).costMap(c).supplyMap(s1);
 		  checkMcf(mcf1, mcf1.run(param), gr, l1, u, c, s1,
 		           mcf1.OPTIMAL, true,     5240, test_str + "-1");
 		  mcf1.stSupply(v, w, 27);
 		  checkMcf(mcf1, mcf1.run(param), gr, l1, u, c, s2,
 		           mcf1.OPTIMAL, true,     7620, test_str + "-2");
 		  mcf1.lowerMap(l2).supplyMap(s1);
 		  checkMcf(mcf1, mcf1.run(param), gr, l2, u, c, s1,
 		           mcf1.OPTIMAL, true,     5970, test_str + "-3");
 		  mcf1.stSupply(v, w, 27);
 		  checkMcf(mcf1, mcf1.run(param), gr, l2, u, c, s2,
 		           mcf1.OPTIMAL, true,     8010, test_str + "-4");
 		  mcf1.resetParams().supplyMap(s1);
 		  checkMcf(mcf1, mcf1.run(param), gr, l1, cu, cc, s1,
 		           mcf1.OPTIMAL, true,       74, test_str + "-5");
 		  mcf1.lowerMap(l2).stSupply(v, w, 27);
 		  checkMcf(mcf1, mcf1.run(param), gr, l2, cu, cc, s2,
 		           mcf1.OPTIMAL, true,       94, test_str + "-6");
 		  mcf1.reset();
 		  checkMcf(mcf1, mcf1.run(param), gr, l1, cu, cc, s3,
 		           mcf1.OPTIMAL, true,        0, test_str + "-7");
 		  mcf1.lowerMap(l2).upperMap(u);
 		  checkMcf(mcf1, mcf1.run(param), gr, l2, u, cc, s3,
@@ -414,63 +414,63 @@
 		  checkMcf(mcf1, mcf1.run(param), gr, l2, u, c, s5,
 		           mcf1.INFEASIBLE, false,  0, test_str + "-21", LEQ);
+		}
 		int main()
+		{
 		  // Read the test networks
 		  std::istringstream input(test_lgf);
 		  DigraphReader<Digraph>(gr, input)
 		    .arcMap("cost", c)
 		    .arcMap("cap", u)
 		    .arcMap("low1", l1)
 		    .arcMap("low2", l2)
 		    .arcMap("low3", l3)
 		    .nodeMap("sup1", s1)
 		    .nodeMap("sup2", s2)
 		    .nodeMap("sup3", s3)
 		    .nodeMap("sup4", s4)
 		    .nodeMap("sup5", s5)
 		    .nodeMap("sup6", s6)
 		    .node("source", v)
 		    .node("target", w)
 		    .run();
 		  std::istringstream neg_inp1(test_neg1_lgf);
 		  DigraphReader<Digraph>(neg1_gr, neg_inp1)
 		    .arcMap("cost", neg1_c)
 		    .arcMap("low1", neg1_l1)
 		    .arcMap("low2", neg1_l2)
 		    .nodeMap("sup", neg1_s)
 		    .run();
 		  std::istringstream neg_inp2(test_neg2_lgf);
 		  DigraphReader<Digraph>(neg2_gr, neg_inp2)
 		    .arcMap("cost", neg2_c)
 		    .nodeMap("sup", neg2_s)
 		    .run();
 		  // Check the interface of NetworkSimplex
+		  {
 		    typedef concepts::Digraph GR;
 		    checkConcept< McfClassConcept<GR, int, int>,
 		                  NetworkSimplex<GR> >();
 		    checkConcept< McfClassConcept<GR, double, double>,
 		                  NetworkSimplex<GR, double> >();
 		    checkConcept< McfClassConcept<GR, int, double>,
 		                  NetworkSimplex<GR, int, double> >();
+		  }
 		  // Check the interface of CapacityScaling
+		  {
 		    typedef concepts::Digraph GR;
 		    checkConcept< McfClassConcept<GR, int, int>,
 		                  CapacityScaling<GR> >();
 		    checkConcept< McfClassConcept<GR, double, double>,
 		                  CapacityScaling<GR, double> >();
 		    checkConcept< McfClassConcept<GR, int, double>,
 		                  CapacityScaling<GR, int, double> >();
 		    typedef CapacityScaling<GR>::
 		      SetHeap<concepts::Heap<int, RangeMap<int> > >::Create CAS;
 		    checkConcept< McfClassConcept<GR, int, int>, CAS >();
+		  }
@@ -480,62 +480,62 @@
 		    typedef concepts::Digraph GR;
 		    checkConcept< McfClassConcept<GR, int, int>,
 		                  CostScaling<GR> >();
 		    checkConcept< McfClassConcept<GR, double, double>,
 		                  CostScaling<GR, double> >();
 		    checkConcept< McfClassConcept<GR, int, double>,
 		                  CostScaling<GR, int, double> >();
 		    typedef CostScaling<GR>::
 		      SetLargeCost<double>::Create COS;
 		    checkConcept< McfClassConcept<GR, int, int>, COS >();
+		  }
 		  // Check the interface of CycleCanceling
+		  {
 		    typedef concepts::Digraph GR;
 		    checkConcept< McfClassConcept<GR, int, int>,
 		                  CycleCanceling<GR> >();
 		    checkConcept< McfClassConcept<GR, double, double>,
 		                  CycleCanceling<GR, double> >();
 		    checkConcept< McfClassConcept<GR, int, double>,
 		                  CycleCanceling<GR, int, double> >();
+		  }
 		  // Test NetworkSimplex
+		  {
+		  {
 		    typedef NetworkSimplex<Digraph> MCF;
 		    runMcfGeqTests<MCF>(MCF::FIRST_ELIGIBLE, "NS-FE", true);
 		    runMcfLeqTests<MCF>(MCF::FIRST_ELIGIBLE, "NS-FE");
 		    runMcfGeqTests<MCF>(MCF::BEST_ELIGIBLE,  "NS-BE", true);
 		    runMcfLeqTests<MCF>(MCF::BEST_ELIGIBLE,  "NS-BE");
 		    runMcfGeqTests<MCF>(MCF::BLOCK_SEARCH,   "NS-BS", true);
 		    runMcfLeqTests<MCF>(MCF::BLOCK_SEARCH,   "NS-BS");
 		    runMcfGeqTests<MCF>(MCF::CANDIDATE_LIST, "NS-CL", true);
 		    runMcfLeqTests<MCF>(MCF::CANDIDATE_LIST, "NS-CL");
 		    runMcfGeqTests<MCF>(MCF::ALTERING_LIST,  "NS-AL", true);
 		    runMcfLeqTests<MCF>(MCF::ALTERING_LIST,  "NS-AL");
+		  }
 		  // Test CapacityScaling
+		  {
 		    typedef CapacityScaling<Digraph> MCF;
 		    runMcfGeqTests<MCF>(0, "SSP");
 		    runMcfGeqTests<MCF>(2, "CAS");
+		  }
 		  // Test CostScaling
+		  {
 		    typedef CostScaling<Digraph> MCF;
 		    runMcfGeqTests<MCF>(MCF::PUSH, "COS-PR");
 		    runMcfGeqTests<MCF>(MCF::AUGMENT, "COS-AR");
 		    runMcfGeqTests<MCF>(MCF::PARTIAL_AUGMENT, "COS-PAR");
+		  }
 		  // Test CycleCanceling
+		  {
 		    typedef CycleCanceling<Digraph> MCF;
 		    runMcfGeqTests<MCF>(MCF::SIMPLE_CYCLE_CANCELING, "SCC");
 		    runMcfGeqTests<MCF>(MCF::MINIMUM_MEAN_CYCLE_CANCELING, "MMCC");
 		    runMcfGeqTests<MCF>(MCF::CANCEL_AND_TIGHTEN, "CAT");
+		  }
 		  return 0;

test/min_mean_cycle_test.cc

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#include <iostream>
 		#include <sstream>
 		#include <lemon/smart_graph.h>
 		#include <lemon/lgf_reader.h>
 		#include <lemon/path.h>
 		#include <lemon/concepts/digraph.h>
 		#include <lemon/concept_check.h>
 		#include <lemon/karp_mmc.h>
 		#include <lemon/hartmann_orlin_mmc.h>
@@ -40,80 +40,80 @@
 		  "2\n"
 		  "3\n"
 		  "4\n"
 		  "5\n"
 		  "6\n"
 		  "7\n"
 		  "@arcs\n"
 		  "    len1 len2 len3 len4  c1 c2 c3 c4\n"
 		  "1 2    1    1    1    1   0  0  0  0\n"
 		  "2 4    5    5    5    5   1  0  0  0\n"
 		  "2 3    8    8    8    8   0  0  0  0\n"
 		  "3 2   -2    0    0    0   1  0  0  0\n"
 		  "3 4    4    4    4    4   0  0  0  0\n"
 		  "3 7   -4   -4   -4   -4   0  0  0  0\n"
 		  "4 1    2    2    2    2   0  0  0  0\n"
 		  "4 3    3    3    3    3   1  0  0  0\n"
 		  "4 4    3    3    0    0   0  0  1  0\n"
 		  "5 2    4    4    4    4   0  0  0  0\n"
 		  "5 6    3    3    3    3   0  1  0  0\n"
 		  "6 5    2    2    2    2   0  1  0  0\n"
 		  "6 4   -1   -1   -1   -1   0  0  0  0\n"
 		  "6 7    1    1    1    1   0  0  0  0\n"
 		  "7 7    4    4    4   -1   0  0  0  1\n";
 		// Check the interface of an MMC algorithm
 		template <typename GR, typename Cost>
 		struct MmcClassConcept
+		{
 		  template <typename MMC>
 		  struct Constraints {
 		    void constraints() {
 		      const Constraints& me = *this;
 		      typedef typename MMC
 		        ::template SetPath<ListPath<GR> >
 		        ::template SetLargeCost<Cost>
 		        ::Create MmcAlg;
 		      MmcAlg mmc(me.g, me.cost);
 		      const MmcAlg& const_mmc = mmc;
 		      typename MmcAlg::Tolerance tol = const_mmc.tolerance();
 		      mmc.tolerance(tol);
 		      b = mmc.cycle(p).run();
 		      b = mmc.findCycleMean();
 		      b = mmc.findCycle();
 		      v = const_mmc.cycleCost();
 		      i = const_mmc.cycleSize();
 		      d = const_mmc.cycleMean();
 		      p = const_mmc.cycle();
+		    }
 		    typedef concepts::ReadMap<typename GR::Arc, Cost> CM;
 		    GR g;
 		    CM cost;
 		    ListPath<GR> p;
 		    Cost v;
 		    int i;
 		    double d;
 		    bool b;
 		  };
 		};
 		// Perform a test with the given parameters
 		template <typename MMC>
 		void checkMmcAlg(const SmartDigraph& gr,
 		                 const SmartDigraph::ArcMap<int>& lm,
 		                 const SmartDigraph::ArcMap<int>& cm,
 		                 int cost, int size) {
 		  MMC alg(gr, lm);
 		  alg.findCycleMean();
 		  check(alg.cycleMean() == static_cast<double>(cost) / size,
 		        "Wrong cycle mean");
 		  alg.findCycle();
 		  check(alg.cycleCost() == cost && alg.cycleSize() == size,
 		        "Wrong path");
 		  SmartDigraph::ArcMap<int> cycle(gr, 0);
@@ -132,76 +132,76 @@
 		};
 		template <typename T>
 		struct IsSameType<T,T> {
 		  static const int result = 1;
 		};
 		int main() {
 		  #ifdef LEMON_HAVE_LONG_LONG
 		    typedef long long long_int;
 		  #else
 		    typedef long long_int;
 		  #endif
 		  // Check the interface
+		  {
 		    typedef concepts::Digraph GR;
 		    // KarpMmc
 		    checkConcept< MmcClassConcept<GR, int>,
 		                  KarpMmc<GR, concepts::ReadMap<GR::Arc, int> > >();
 		    checkConcept< MmcClassConcept<GR, float>,
 		                  KarpMmc<GR, concepts::ReadMap<GR::Arc, float> > >();
 		    // HartmannOrlinMmc
 		    checkConcept< MmcClassConcept<GR, int>,
 		                  HartmannOrlinMmc<GR, concepts::ReadMap<GR::Arc, int> > >();
 		    checkConcept< MmcClassConcept<GR, float>,
 		                  HartmannOrlinMmc<GR, concepts::ReadMap<GR::Arc, float> > >();
 		    // HowardMmc
 		    checkConcept< MmcClassConcept<GR, int>,
 		                  HowardMmc<GR, concepts::ReadMap<GR::Arc, int> > >();
 		    checkConcept< MmcClassConcept<GR, float>,
 		                  HowardMmc<GR, concepts::ReadMap<GR::Arc, float> > >();
 		    check((IsSameType<HowardMmc<GR, concepts::ReadMap<GR::Arc, int> >
 		           ::LargeCost, long_int>::result == 1), "Wrong LargeCost type");
 		    check((IsSameType<HowardMmc<GR, concepts::ReadMap<GR::Arc, float> >
 		           ::LargeCost, double>::result == 1), "Wrong LargeCost type");
+		  }
 		  // Run various tests
+		  {
 		    typedef SmartDigraph GR;
 		    DIGRAPH_TYPEDEFS(GR);
 		    GR gr;
 		    IntArcMap l1(gr), l2(gr), l3(gr), l4(gr);
 		    IntArcMap c1(gr), c2(gr), c3(gr), c4(gr);
 		    std::istringstream input(test_lgf);
 		    digraphReader(gr, input).
 		      arcMap("len1", l1).
 		      arcMap("len2", l2).
 		      arcMap("len3", l3).
 		      arcMap("len4", l4).
 		      arcMap("c1", c1).
 		      arcMap("c2", c2).
 		      arcMap("c3", c3).
 		      arcMap("c4", c4).
 		      run();
 		    // Karp
 		    checkMmcAlg<KarpMmc<GR, IntArcMap> >(gr, l1, c1,  6, 3);
 		    checkMmcAlg<KarpMmc<GR, IntArcMap> >(gr, l2, c2,  5, 2);
 		    checkMmcAlg<KarpMmc<GR, IntArcMap> >(gr, l3, c3,  0, 1);
 		    checkMmcAlg<KarpMmc<GR, IntArcMap> >(gr, l4, c4, -1, 1);
 		    // HartmannOrlin
 		    checkMmcAlg<HartmannOrlinMmc<GR, IntArcMap> >(gr, l1, c1,  6, 3);
 		    checkMmcAlg<HartmannOrlinMmc<GR, IntArcMap> >(gr, l2, c2,  5, 2);
 		    checkMmcAlg<HartmannOrlinMmc<GR, IntArcMap> >(gr, l3, c3,  0, 1);
 		    checkMmcAlg<HartmannOrlinMmc<GR, IntArcMap> >(gr, l4, c4, -1, 1);

test/preflow_test.cc

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#include <iostream>
 		#include "test_tools.h"
 		#include <lemon/smart_graph.h>
 		#include <lemon/preflow.h>
 		#include <lemon/concepts/digraph.h>
 		#include <lemon/concepts/maps.h>
 		#include <lemon/lgf_reader.h>
 		#include <lemon/elevator.h>
 		using namespace lemon;
@@ -73,73 +73,73 @@
 		  typedef Digraph::Arc Arc;
 		  typedef concepts::ReadMap<Arc,VType> CapMap;
 		  typedef concepts::ReadWriteMap<Arc,VType> FlowMap;
 		  typedef concepts::WriteMap<Node,bool> CutMap;
 		  typedef Elevator<Digraph, Digraph::Node> Elev;
 		  typedef LinkedElevator<Digraph, Digraph::Node> LinkedElev;
 		  Digraph g;
 		  Node n;
 		  Arc e;
 		  CapMap cap;
 		  FlowMap flow;
 		  CutMap cut;
 		  VType v;
 		  bool b;
 		  typedef Preflow<Digraph, CapMap>
 		            ::SetFlowMap<FlowMap>
 		            ::SetElevator<Elev>
 		            ::SetStandardElevator<LinkedElev>
 		            ::Create PreflowType;
 		  PreflowType preflow_test(g, cap, n, n);
 		  const PreflowType& const_preflow_test = preflow_test;
 		  const PreflowType::Elevator& elev = const_preflow_test.elevator();
 		  preflow_test.elevator(const_cast<PreflowType::Elevator&>(elev));
 		  PreflowType::Tolerance tol = const_preflow_test.tolerance();
 		  preflow_test.tolerance(tol);
 		  preflow_test
 		    .capacityMap(cap)
 		    .flowMap(flow)
 		    .source(n)
 		    .target(n);
 		  preflow_test.init();
 		  preflow_test.init(cap);
 		  preflow_test.startFirstPhase();
 		  preflow_test.startSecondPhase();
 		  preflow_test.run();
 		  preflow_test.runMinCut();
 		  v = const_preflow_test.flowValue();
 		  v = const_preflow_test.flow(e);
 		  const FlowMap& fm = const_preflow_test.flowMap();
 		  b = const_preflow_test.minCut(n);
 		  const_preflow_test.minCutMap(cut);
 		  ignore_unused_variable_warning(fm);
+		}
 		int cutValue (const SmartDigraph& g,
 		              const SmartDigraph::NodeMap<bool>& cut,
 		              const SmartDigraph::ArcMap<int>& cap) {
 		  int c=0;
 		  for(SmartDigraph::ArcIt e(g); e!=INVALID; ++e) {
 		    if (cut[g.source(e)] && !cut[g.target(e)]) c+=cap[e];
+		  }
 		  return c;
+		}
 		bool checkFlow(const SmartDigraph& g,
 		               const SmartDigraph::ArcMap<int>& flow,
 		               const SmartDigraph::ArcMap<int>& cap,
 		               SmartDigraph::Node s, SmartDigraph::Node t) {
 		  for (SmartDigraph::ArcIt e(g); e != INVALID; ++e) {
 		    if (flow[e] < 0 || flow[e] > cap[e]) return false;
+		  }
 		  for (SmartDigraph::NodeIt n(g); n != INVALID; ++n) {

test/suurballe_test.cc

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#include <iostream>
 		#include <lemon/list_graph.h>
 		#include <lemon/lgf_reader.h>
 		#include <lemon/path.h>
 		#include <lemon/suurballe.h>
 		#include <lemon/concepts/digraph.h>
 		#include <lemon/concepts/heap.h>
 		#include "test_tools.h"
@@ -60,94 +60,94 @@
 		  " 6  9 140\n"
 		  " 6 10  90\n"
 		  " 7  1  30\n"
 		  " 8 12  60\n"
 		  " 9 12  50\n"
 		  "10 12  70\n"
 		  "10  2 100\n"
 		  "10  7  60\n"
 		  "11 10  20\n"
 		  "12 11  30\n"
 		  "@attributes\n"
 		  "source  1\n"
 		  "target 12\n"
 		  "@end\n";
 		// Check the interface of Suurballe
 		void checkSuurballeCompile()
+		{
 		  typedef int VType;
 		  typedef concepts::Digraph Digraph;
 		  typedef Digraph::Node Node;
 		  typedef Digraph::Arc Arc;
 		  typedef concepts::ReadMap<Arc, VType> LengthMap;
 		  typedef Suurballe<Digraph, LengthMap> ST;
 		  typedef Suurballe<Digraph, LengthMap>
 		    ::SetFlowMap<ST::FlowMap>
 		    ::SetPotentialMap<ST::PotentialMap>
 		    ::SetPath<SimplePath<Digraph> >
 		    ::SetHeap<concepts::Heap<VType, Digraph::NodeMap<int> > >
 		    ::Create SuurballeType;
 		  Digraph g;
 		  Node n;
 		  Arc e;
 		  LengthMap len;
 		  SuurballeType::FlowMap flow(g);
 		  SuurballeType::PotentialMap pi(g);
 		  SuurballeType suurb_test(g, len);
 		  const SuurballeType& const_suurb_test = suurb_test;
 		  suurb_test
 		    .flowMap(flow)
 		    .potentialMap(pi);
 		  int k;
 		  k = suurb_test.run(n, n);
 		  k = suurb_test.run(n, n, k);
 		  suurb_test.init(n);
 		  suurb_test.fullInit(n);
 		  suurb_test.start(n);
 		  suurb_test.start(n, k);
 		  k = suurb_test.findFlow(n);
 		  k = suurb_test.findFlow(n, k);
 		  suurb_test.findPaths();
 		  int f;
 		  VType c;
 		  c = const_suurb_test.totalLength();
 		  f = const_suurb_test.flow(e);
 		  const SuurballeType::FlowMap& fm =
 		    const_suurb_test.flowMap();
 		  c = const_suurb_test.potential(n);
 		  const SuurballeType::PotentialMap& pm =
 		    const_suurb_test.potentialMap();
 		  k = const_suurb_test.pathNum();
 		  Path<Digraph> p = const_suurb_test.path(k);
 		  ignore_unused_variable_warning(fm);
 		  ignore_unused_variable_warning(pm);
+		}
 		// Check the feasibility of the flow
 		template <typename Digraph, typename FlowMap>
 		bool checkFlow( const Digraph& gr, const FlowMap& flow,
 		                typename Digraph::Node s, typename Digraph::Node t,
 		                int value )
+		{
 		  TEMPLATE_DIGRAPH_TYPEDEFS(Digraph);
 		  for (ArcIt e(gr); e != INVALID; ++e)
 		    if (!(flow[e] == 0 || flow[e] == 1)) return false;
 		  for (NodeIt n(gr); n != INVALID; ++n) {
 		    int sum = 0;
 		    for (OutArcIt e(gr, n); e != INVALID; ++e)
 		      sum += flow[e];
 		    for (InArcIt e(gr, n); e != INVALID; ++e)
 		      sum -= flow[e];
 		    if (n == s && sum != value) return false;
 		    if (n == t && sum != -value) return false;
 		    if (n != s && n != t && sum != 0) return false;
+		  }
@@ -187,79 +187,79 @@
+		  }
 		  return n == t;
+		}
 		int main()
+		{
 		  DIGRAPH_TYPEDEFS(ListDigraph);
 		  // Read the test digraph
 		  ListDigraph digraph;
 		  ListDigraph::ArcMap<int> length(digraph);
 		  Node s, t;
 		  std::istringstream input(test_lgf);
 		  DigraphReader<ListDigraph>(digraph, input).
 		    arcMap("length", length).
 		    node("source", s).
 		    node("target", t).
 		    run();
 		  // Check run()
+		  {
 		    Suurballe<ListDigraph> suurballe(digraph, length);
 		    // Find 2 paths
 		    check(suurballe.run(s, t) == 2, "Wrong number of paths");
 		    check(checkFlow(digraph, suurballe.flowMap(), s, t, 2),
 		          "The flow is not feasible");
 		    check(suurballe.totalLength() == 510, "The flow is not optimal");
 		    check(checkOptimality(digraph, length, suurballe.flowMap(),
 		                          suurballe.potentialMap()),
 		          "Wrong potentials");
 		    for (int i = 0; i < suurballe.pathNum(); ++i)
 		      check(checkPath(digraph, suurballe.path(i), s, t), "Wrong path");
 		    // Find 3 paths
 		    check(suurballe.run(s, t, 3) == 3, "Wrong number of paths");
 		    check(checkFlow(digraph, suurballe.flowMap(), s, t, 3),
 		          "The flow is not feasible");
 		    check(suurballe.totalLength() == 1040, "The flow is not optimal");
 		    check(checkOptimality(digraph, length, suurballe.flowMap(),
 		                          suurballe.potentialMap()),
 		          "Wrong potentials");
 		    for (int i = 0; i < suurballe.pathNum(); ++i)
 		      check(checkPath(digraph, suurballe.path(i), s, t), "Wrong path");
 		    // Find 5 paths (only 3 can be found)
 		    check(suurballe.run(s, t, 5) == 3, "Wrong number of paths");
 		    check(checkFlow(digraph, suurballe.flowMap(), s, t, 3),
 		          "The flow is not feasible");
 		    check(suurballe.totalLength() == 1040, "The flow is not optimal");
 		    check(checkOptimality(digraph, length, suurballe.flowMap(),
 		                          suurballe.potentialMap()),
 		          "Wrong potentials");
 		    for (int i = 0; i < suurballe.pathNum(); ++i)
 		      check(checkPath(digraph, suurballe.path(i), s, t), "Wrong path");
+		  }
 		  // Check fullInit() + start()
+		  {
 		    Suurballe<ListDigraph> suurballe(digraph, length);
 		    suurballe.fullInit(s);
 		    // Find 2 paths
 		    check(suurballe.start(t) == 2, "Wrong number of paths");
 		    check(suurballe.totalLength() == 510, "The flow is not optimal");
 		    // Find 3 paths
 		    check(suurballe.start(t, 3) == 3, "Wrong number of paths");
 		    check(suurballe.totalLength() == 1040, "The flow is not optimal");
 		    // Find 5 paths (only 3 can be found)
 		    check(suurballe.start(t, 5) == 3, "Wrong number of paths");
 		    check(suurballe.totalLength() == 1040, "The flow is not optimal");
+		  }
 		  return 0;
+		}

test/test_tools.h

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		#ifndef LEMON_TEST_TEST_TOOLS_H
 		#define LEMON_TEST_TEST_TOOLS_H
 		///\ingroup misc
 		///\file
 		///\brief Some utilities to write test programs.
 		#include <iostream>
 		#include <stdlib.h>
 		///If \c rc is fail, writes an error message and exits.
 		///If \c rc is fail, writes an error message and exits.
 		///The error message contains the file name and the line number of the
 		///source code in a standard from, which makes it possible to go there
 		///using good source browsers like e.g. \c emacs.
 		///
 		///For example
 		///\code check(0==1,"This is obviously false.");\endcode will
 		///print something like this (and then exits).
 		///\verbatim file_name.cc:123: error: This is obviously false. \endverbatim
 		#define check(rc, msg)                                                  \
 		  {                                                                     \
 		    if(!(rc)) {                                                         \
 		      std::cerr << __FILE__ ":" << __LINE__ << ": error: "              \
 		                << msg << std::endl;                                    \
 		      abort();                                                          \
 		    } else { }                                                          \
 		  }                                                                     \
 		#endif

tools/dimacs-solver.cc

Show inline comments

 		/* -*- mode: C++; indent-tabs-mode: nil; -*-
+		 *
 		 * This file is a part of LEMON, a generic C++ optimization library.
+		 *
-		 * Copyright (C) 2003-2009
+		 * Copyright (C) 2003-2010
 		 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
 		 * (Egervary Research Group on Combinatorial Optimization, EGRES).
+		 *
 		 * Permission to use, modify and distribute this software is granted
 		 * provided that this copyright notice appears in all copies. For
 		 * precise terms see the accompanying LICENSE file.
+		 *
 		 * This software is provided "AS IS" with no warranty of any kind,
 		 * express or implied, and with no claim as to its suitability for any
 		 * purpose.
+		 *
 		 */
 		///\ingroup tools
 		///\file
 		///\brief DIMACS problem solver.
 		///
 		/// This program solves various problems given in DIMACS format.
 		///
 		/// See
 		/// \code
 		///   dimacs-solver --help
 		/// \endcode
 		/// for more info on usage.
@@ -67,49 +67,49 @@
 		  if(report) std::cerr << "Setup Dijkstra class: " << t << '\n';
 		  t.restart();
 		  dij.run(s);
 		  if(report) std::cerr << "Run Dijkstra: " << t << '\n';
+		}
 		template<class Value>
 		void solve_max(ArgParser &ap, std::istream &is, std::ostream &,
 		               Value infty, DimacsDescriptor &desc)
+		{
 		  bool report = !ap.given("q");
 		  Digraph g;
 		  Node s,t;
 		  Digraph::ArcMap<Value> cap(g);
 		  Timer ti;
 		  ti.restart();
 		  readDimacsMax(is, g, cap, s, t, infty, desc);
 		  if(report) std::cerr << "Read the file: " << ti << '\n';
 		  ti.restart();
 		  Preflow<Digraph, Digraph::ArcMap<Value> > pre(g,cap,s,t);
 		  if(report) std::cerr << "Setup Preflow class: " << ti << '\n';
 		  ti.restart();
 		  pre.run();
 		  if(report) std::cerr << "Run Preflow: " << ti << '\n';
-		  if(report) std::cerr << "\nMax flow value: " << pre.flowValue() << '\n';
 		  if(report) std::cerr << "\nMax flow value: " << pre.flowValue() << '\n';
+		}
 		template<class Value, class LargeValue>
 		void solve_min(ArgParser &ap, std::istream &is, std::ostream &,
 		               Value infty, DimacsDescriptor &desc)
+		{
 		  bool report = !ap.given("q");
 		  Digraph g;
 		  Digraph::ArcMap<Value> lower(g), cap(g), cost(g);
 		  Digraph::NodeMap<Value> sup(g);
 		  Timer ti;
 		  ti.restart();
 		  readDimacsMin(is, g, lower, cap, cost, sup, infty, desc);
 		  ti.stop();
 		  Value sum_sup = 0;
 		  for (Digraph::NodeIt n(g); n != INVALID; ++n) {
 		    sum_sup += sup[n];
+		  }
 		  if (report) {
 		    std::cerr << "Sum of supply values: " << sum_sup << "\n";
 		    if (sum_sup <= 0)
 		      std::cerr << "GEQ supply contraints are used for NetworkSimplex\n\n";
 		    else
@@ -127,67 +127,67 @@
 		  if (report) {
 		    std::cerr << "Run NetworkSimplex: " << ti << "\n\n";
 		    std::cerr << "Feasible flow: " << (res ? "found" : "not found") << '\n';
 		    if (res) std::cerr << "Min flow cost: "
 		                       << ns.template totalCost<LargeValue>() << '\n';
+		  }
+		}
 		void solve_mat(ArgParser &ap, std::istream &is, std::ostream &,
 		              DimacsDescriptor &desc)
+		{
 		  bool report = !ap.given("q");
 		  Graph g;
 		  Timer ti;
 		  ti.restart();
 		  readDimacsMat(is, g, desc);
 		  if(report) std::cerr << "Read the file: " << ti << '\n';
 		  ti.restart();
 		  MaxMatching<Graph> mat(g);
 		  if(report) std::cerr << "Setup MaxMatching class: " << ti << '\n';
 		  ti.restart();
 		  mat.run();
 		  if(report) std::cerr << "Run MaxMatching: " << ti << '\n';
 		  if(report) std::cerr << "\nCardinality of max matching: "
-		                       << mat.matchingSize() << '\n';
 		                       << mat.matchingSize() << '\n';
+		}
 		template<class Value, class LargeValue>
 		void solve(ArgParser &ap, std::istream &is, std::ostream &os,
 		           DimacsDescriptor &desc)
+		{
 		  std::stringstream iss(static_cast<std::string>(ap["infcap"]));
 		  Value infty;
 		  iss >> infty;
 		  if(iss.fail())
+		    {
 		      std::cerr << "Cannot interpret '"
 		                << static_cast<std::string>(ap["infcap"]) << "' as infinite"
 		                << std::endl;
 		      exit(1);
+		    }
 		  switch(desc.type)
+		    {
 		    case DimacsDescriptor::MIN:
 		      solve_min<Value, LargeValue>(ap,is,os,infty,desc);
 		      break;
 		    case DimacsDescriptor::MAX:
 		      solve_max<Value>(ap,is,os,infty,desc);
 		      break;
 		    case DimacsDescriptor::SP:
 		      solve_sp<Value>(ap,is,os,desc);
 		      break;
 		    case DimacsDescriptor::MAT:
 		      solve_mat(ap,is,os,desc);
 		      break;
 		    default:
 		      break;
+		    }
+		}
 		int main(int argc, const char *argv[]) {
 		  typedef SmartDigraph Digraph;
 		  typedef Digraph::Arc Arc;
@@ -217,64 +217,64 @@
 		  std::ofstream output;
 		  switch(ap.files().size())
+		    {
 		    case 2:
 		      output.open(ap.files()[1].c_str());
 		      if (!output) {
 		        throw IoError("Cannot open the file for writing", ap.files()[1]);
+		      }
 		    case 1:
 		      input.open(ap.files()[0].c_str());
 		      if (!input) {
 		        throw IoError("File cannot be found", ap.files()[0]);
+		      }
 		    case 0:
 		      break;
 		    default:
 		      std::cerr << ap.commandName() << ": too many arguments\n";
 		      return 1;
+		    }
 		  std::istream& is = (ap.files().size()<1 ? std::cin : input);
 		  std::ostream& os = (ap.files().size()<2 ? std::cout : output);
 		  DimacsDescriptor desc = dimacsType(is);
 		  if(!ap.given("q"))
+		    {
 		      std::cout << "Problem type: ";
 		      switch(desc.type)
+		        {
 		        case DimacsDescriptor::MIN:
 		          std::cout << "min";
 		          break;
 		        case DimacsDescriptor::MAX:
 		          std::cout << "max";
 		          break;
 		        case DimacsDescriptor::SP:
 		          std::cout << "sp";
 		        case DimacsDescriptor::MAT:
 		          std::cout << "mat";
 		          break;
 		        default:
 		          exit(1);
 		          break;
+		        }
 		      std::cout << "\nNum of nodes: " << desc.nodeNum;
 		      std::cout << "\nNum of arcs:  " << desc.edgeNum;
 		      std::cout << "\n\n";
+		    }
 		  if(ap.given("double"))
 		    solve<double, double>(ap,is,os,desc);
 		  else if(ap.given("ldouble"))
 		    solve<long double, long double>(ap,is,os,desc);
 		#ifdef LEMON_HAVE_LONG_LONG
 		  else if(ap.given("long"))
 		    solve<long long, long long>(ap,is,os,desc);
 		  else solve<int, long long>(ap,is,os,desc);
 		#else
 		  else solve<int, long>(ap,is,os,desc);
 		#endif
 		  return 0;
+		}

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1	1	/* -- mode: C++; indent-tabs-mode: nil; --
2	2	*
3	3	* This file is a part of LEMON, a generic C++ optimization library.
4	4	*
5		* Copyright (C) 2003-~~2009~~
	5	* Copyright (C) 2003-2010
6	6	* Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
7	7	* (Egervary Research Group on Combinatorial Optimization, EGRES).
8	8	*
9	9	* Permission to use, modify and distribute this software is granted
10	10	* provided that this copyright notice appears in all copies. For
11	11	* precise terms see the accompanying LICENSE file.
12	12	*
13	13	* This software is provided "AS IS" with no warranty of any kind,
14	14	* express or implied, and with no claim as to its suitability for any
15	15	* purpose.
16	16	*
17	17	*/
18	18
19	19	#include <lemon/arg_parser.h>
20	20
21	21	namespace lemon {
22	22
23	23	void ArgParser::_terminate(ArgParserException::Reason reason) const
24	24	{
25	25	if(_exit_on_problems)
26	26	exit(1);
27	27	else throw(ArgParserException(reason));
28	28	}
29
30
	29
	30
31	31	void ArgParser::_showHelp(void *p)
32	32	{
33	33	(static_cast<ArgParser*>(p))->showHelp();
34	34	(static_cast<ArgParser*>(p))->_terminate(ArgParserException::HELP);
35	35	}
36	36
37	37	ArgParser::ArgParser(int argc, const char * const *argv)
38	38	:_argc(argc), _argv(argv), _command_name(argv[0]),
39	39	_exit_on_problems(true) {
40	40	funcOption("-help","Print a short help message",_showHelp,this);
41	41	synonym("help","-help");
42	42	synonym("h","-help");
43	43	}
44	44
45	45	ArgParser::~ArgParser()
46	46	{
47	47	for(Opts::iterator i=_opts.begin();i!=_opts.end();++i)
48	48	if(i->second.self_delete)
49	49	switch(i->second.type) {
50	50	case BOOL:
51	51	delete i->second.bool_p;
52	52	break;
53	53	case STRING:
54	54	delete i->second.string_p;

1	1	/* -- mode: C++; indent-tabs-mode: nil; --
2	2	*
3	3	* This file is a part of LEMON, a generic C++ optimization library.
4	4	*
5		* Copyright (C) 2003-~~2008~~
	5	* Copyright (C) 2003-2010
6	6	* Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
7	7	* (Egervary Research Group on Combinatorial Optimization, EGRES).
8	8	*
9	9	* Permission to use, modify and distribute this software is granted
10	10	* provided that this copyright notice appears in all copies. For
11	11	* precise terms see the accompanying LICENSE file.
12	12	*
13	13	* This software is provided "AS IS" with no warranty of any kind,
14	14	* express or implied, and with no claim as to its suitability for any
15	15	* purpose.
16	16	*
17	17	*/
18	18
19	19	#include <lemon/clp.h>
20	20	#include <coin/ClpSimplex.hpp>
21	21
22	22	namespace lemon {
23	23
24	24	ClpLp::ClpLp() {
25	25	_prob = new ClpSimplex();
26	26	_init_temporals();
27	27	messageLevel(MESSAGE_NOTHING);
28	28	}
29	29