RhodeCode

    ///\note <tt>b.start()</tt> is just a shortcut of the following code.

    ///\code

    ///  while ( !b.emptyQueue() ) {

    ///    b.processNextNode();

    ///  }

    ///\endcode

    void start()

    {

      while ( !emptyQueue() ) processNextNode();

    }

    ///Executes the algorithm until the given target node is reached.

    ///Executes the algorithm until the given target node is reached.

    ///

    ///This method runs the %BFS algorithm from the root node(s)

    ///

    ///The algorithm computes

    ///

    ///\pre init() must be called and at least one root node should be

    ///added with addSource() before using this function.

    ///

    ///\note <tt>b.start(t)</tt> is just a shortcut of the following code.

    ///\code

    ///  bool reach = false;

    ///  while ( !b.emptyQueue() && !reach ) {

    ///    b.processNextNode(t, reach);

    ///  }

    ///\endcode

    {

      bool reach = false;

    }

    ///Executes the algorithm until a condition is met.

    ///Executes the algorithm until a condition is met.

    ///

    ///This method runs the %BFS algorithm from the root node(s) in

    ///order to compute the shortest path to a node \c v with

    /// <tt>nm[v]</tt> true, if such a node can be found.

    ///

    ///\param nm A \c bool (or convertible) node map. The algorithm

    ///will stop when it reaches a node \c v with <tt>nm[v]</tt> true.

    ///

    ///\return The reached node \c v with <tt>nm[v]</tt> true or

    ///\c INVALID if no such node was found.

    ///

    ///  Node rnode = INVALID;

    ///  while ( !b.emptyQueue() && rnode == INVALID ) {

    ///    b.processNextNode(nm, rnode);

    ///  }

    ///  return rnode;

    ///\endcode

    template<class NodeBoolMap>

    Node start(const NodeBoolMap &nm)

    {

      Node rnode = INVALID;

      while ( !emptyQueue() && rnode == INVALID ) {

        processNextNode(nm, rnode);

      }

      return rnode;

    }

    ///This method runs the %BFS algorithm from node \c s

    ///in order to compute the shortest path to each node.

    ///

    ///The algorithm computes

    ///- the shortest path tree,

    ///- the distance of each node from the root.

    ///

    ///\note <tt>b.run(s)</tt> is just a shortcut of the following code.

    ///\code

    ///  b.init();

    ///  b.addSource(s);

    ///  b.start();

    ///\endcode

    void run(Node s) {

      init();

      addSource(s);

      start();

    }

    ///Finds the shortest path between \c s and \c t.

    ///This method runs the %BFS algorithm from node \c s

    ///

    ///

    ///\note Apart from the return value, <tt>b.run(s,t)</tt> is just a

    ///shortcut of the following code.

    ///\code

    ///  b.init();

    ///  b.addSource(s);

    ///  b.start(t);

    ///\endcode

      init();

      addSource(s);

      start(t);

    }

    ///Runs the algorithm to visit all nodes in the digraph.

    ///This method runs the %BFS algorithm 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 <tt>b.run(s)</tt> is just a shortcut of the following code.

    ///\code

    ///  b.init();

    ///  for (NodeIt n(gr); n != INVALID; ++n) {

    ///    if (!b.reached(n)) {

    ///

    /// \note <tt>b.start()</tt> is just a shortcut of the following code.

    /// \code

    ///   while ( !b.emptyQueue() ) {

    ///     b.processNextNode();

    ///   }

    /// \endcode

    void start() {

      while ( !emptyQueue() ) processNextNode();

    }

    /// \brief Executes the algorithm until the given target node is reached.

    ///

    /// Executes the algorithm until the given target node is reached.

    ///

    /// This method runs the %BFS algorithm from the root node(s)

    ///

    /// The algorithm computes

    ///

    /// \pre init() must be called and at least one root node should be

    /// added with addSource() before using this function.

    ///

    /// \note <tt>b.start(t)</tt> is just a shortcut of the following code.

    /// \code

    ///   bool reach = false;

    ///   while ( !b.emptyQueue() && !reach ) {

    ///     b.processNextNode(t, reach);

    ///   }

    /// \endcode

      bool reach = false;

    }

    /// \brief Executes the algorithm until a condition is met.

    ///

    /// Executes the algorithm until a condition is met.

    ///

    /// This method runs the %BFS algorithm from the root node(s) in

    /// order to compute the shortest path to a node \c v with

    /// <tt>nm[v]</tt> true, if such a node can be found.

    ///

    /// \param nm must be a bool (or convertible) node map. The

    /// algorithm will stop when it reaches a node \c v with

    /// <tt>nm[v]</tt> true.

    ///

    /// \return The reached node \c v with <tt>nm[v]</tt> true or

    /// \c INVALID if no such node was found.

    /// \code

    ///   Node rnode = INVALID;

    ///   while ( !b.emptyQueue() && rnode == INVALID ) {

    ///     b.processNextNode(nm, rnode);

    ///   }

    ///   return rnode;

    /// \endcode

    template <typename NM>

    Node start(const NM &nm) {

      Node rnode = INVALID;

      while ( !emptyQueue() && rnode == INVALID ) {

        processNextNode(nm, rnode);

      }

      return rnode;

    }

    ///

    /// This method runs the %BFS algorithm from node \c s

    /// in order to compute the shortest path to each node.

    ///

    /// The algorithm computes

    /// - the shortest path tree,

    /// - the distance of each node from the root.

    ///

    /// \note <tt>b.run(s)</tt> is just a shortcut of the following code.

    ///\code

    ///   b.init();

    ///   b.addSource(s);

    ///   b.start();

    ///\endcode

    void run(Node s) {

      init();

      addSource(s);

      start();

    }

    /// \brief Runs the algorithm to visit all nodes in the digraph.

    ///

    /// This method runs the %BFS algorithm 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 <tt>b.run(s)</tt> is just a shortcut of the following code.

    ///\code

    ///  b.init();

    ///  for (NodeIt n(gr); n != INVALID; ++n) {

    ///    if (!b.reached(n)) {

    ///      b.addSource(n);

    ///      b.start();

    ///\note <tt>d.start()</tt> is just a shortcut of the following code.

    ///\code

    ///  while ( !d.emptyQueue() ) {

    ///    d.processNextArc();

    ///  }

    ///\endcode

    void start()

    {

      while ( !emptyQueue() ) processNextArc();

    }

    ///Executes the algorithm until the given target node is reached.

    ///Executes the algorithm until the given target node is reached.

    ///

    ///This method runs the %DFS algorithm from the root node

    ///

    ///The algorithm computes

    ///

    ///\pre init() must be called and a root node should be

    ///added with addSource() before using this function.

    {

        processNextArc();

    }

    ///Executes the algorithm until a condition is met.

    ///Executes the algorithm until a condition is met.

    ///

    ///This method runs the %DFS algorithm from the root node

    ///until an arc \c a with <tt>am[a]</tt> true is found.

    ///

    ///\param am A \c bool (or convertible) arc map. The algorithm

    ///will stop when it reaches an arc \c a with <tt>am[a]</tt> true.

    ///

    ///\return The reached arc \c a with <tt>am[a]</tt> true or

    ///\c INVALID if no such arc was found.

    ///

    ///\pre init() must be called and a root node should be

    ///added with addSource() before using this function.

    ///

    ///\warning Contrary to \ref Bfs and \ref Dijkstra, \c am is an arc map,

    ///not a node map.

    template<class ArcBoolMap>

    Arc start(const ArcBoolMap &am)

    {

      while ( !emptyQueue() && !am[_stack[_stack_head]] )

        processNextArc();

      return emptyQueue() ? INVALID : _stack[_stack_head];

    }

    ///This method runs the %DFS algorithm from node \c s

    ///in order to compute the DFS path to each node.

    ///

    ///The algorithm computes

    ///- the %DFS tree,

    ///- the distance of each node from the root in the %DFS tree.

    ///

    ///\note <tt>d.run(s)</tt> is just a shortcut of the following code.

    ///\code

    ///  d.init();

    ///  d.addSource(s);

    ///  d.start();

    ///\endcode

    void run(Node s) {

      init();

      addSource(s);

      start();

    }

    ///Finds the %DFS path between \c s and \c t.

    ///This method runs the %DFS algorithm from node \c s

    ///

    ///

    ///\note Apart from the return value, <tt>d.run(s,t)</tt> is

    ///just a shortcut of the following code.

    ///\code

    ///  d.init();

    ///  d.addSource(s);

    ///  d.start(t);

    ///\endcode

      init();

      addSource(s);

      start(t);

    }

    ///Runs the algorithm to visit all nodes in the digraph.

    ///This method runs the %DFS algorithm in order to compute the

    ///%DFS path to each node.

    ///

    ///The algorithm computes

    ///- the %DFS tree,

    ///- the distance of each node from the root in the %DFS tree.

    ///

    ///\note <tt>d.run()</tt> is just a shortcut of the following code.

    ///\code

    ///  d.init();

    ///  for (NodeIt n(digraph); n != INVALID; ++n) {

    ///    if (!d.reached(n)) {

    ///

    /// \note <tt>d.start()</tt> is just a shortcut of the following code.

    /// \code

    ///   while ( !d.emptyQueue() ) {

    ///     d.processNextArc();

    ///   }

    /// \endcode

    void start() {

      while ( !emptyQueue() ) processNextArc();

    }

    /// \brief Executes the algorithm until the given target node is reached.

    ///

    /// Executes the algorithm until the given target node is reached.

    ///

    /// This method runs the %DFS algorithm from the root node

    ///

    /// The algorithm computes

    ///

    /// \pre init() must be called and a root node should be added

    /// with addSource() before using this function.

        processNextArc();

    }

    /// \brief Executes the algorithm until a condition is met.

    ///

    /// Executes the algorithm until a condition is met.

    ///

    /// This method runs the %DFS algorithm from the root node

    /// until an arc \c a with <tt>am[a]</tt> true is found.

    ///

    /// \param am A \c bool (or convertible) arc map. The algorithm

    /// will stop when it reaches an arc \c a with <tt>am[a]</tt> true.

    ///

    /// \return The reached arc \c a with <tt>am[a]</tt> true or

    /// \c INVALID if no such arc was found.

    ///

    /// \pre init() must be called and a root node should be added

    /// with addSource() before using this function.

    ///

    /// \warning Contrary to \ref Bfs and \ref Dijkstra, \c am is an arc map,

    /// not a node map.

    template <typename AM>

    Arc start(const AM &am) {

      while ( !emptyQueue() && !am[_stack[_stack_head]] )

        processNextArc();

      return emptyQueue() ? INVALID : _stack[_stack_head];

    }

    ///

    /// This method runs the %DFS algorithm from node \c s.

    /// in order to compute the DFS path to each node.

    ///

    /// The algorithm computes

    /// - the %DFS tree,

    /// - the distance of each node from the root in the %DFS tree.

    ///

    /// \note <tt>d.run(s)</tt> is just a shortcut of the following code.

    ///\code

    ///   d.init();

    ///   d.addSource(s);

    ///   d.start();

    ///\endcode

    void run(Node s) {

      init();

      addSource(s);

      start();

    }

    /// \brief Finds the %DFS path between \c s and \c t.

    /// This method runs the %DFS algorithm from node \c s

    ///

    ///

    /// \note Apart from the return value, <tt>d.run(s,t)</tt> is

    /// just a shortcut of the following code.

    ///\code

    ///   d.init();

    ///   d.addSource(s);

    ///   d.start(t);

    ///\endcode

      init();

      addSource(s);

      start(t);

    }

    /// \brief Runs the algorithm to visit all nodes in the digraph.

    /// This method runs the %DFS algorithm in order to

    /// compute the %DFS path to each node.

    ///

    /// The algorithm computes

    /// - the %DFS tree,

    /// - the distance of each node from the root in the %DFS tree.

    ///

    /// \note <tt>d.run()</tt> is just a shortcut of the following code.

    ///\code

    ///   d.init();

    ///   for (NodeIt n(digraph); n != INVALID; ++n) {

    ///     if (!d.reached(n)) {

    ///- 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.

    ///

    ///\note <tt>d.start()</tt> is just a shortcut of the following code.

    ///\code

    ///  while ( !d.emptyQueue() ) {

    ///    d.processNextNode();

    ///  }

    ///\endcode

    void start()

    {

      while ( !emptyQueue() ) processNextNode();

    }

    ///

    ///This method runs the %Dijkstra algorithm from the root node(s)

    ///

    ///The algorithm computes

    ///

    ///\pre init() must be called and at least one root node should be

    ///added with addSource() before using this function.

    {

    }

    ///Executes the algorithm until a condition is met.

    ///Executes the algorithm until a condition is met.

    ///

    ///This method runs the %Dijkstra algorithm from the root node(s) in

    ///order to compute the shortest path to a node \c v with

    /// <tt>nm[v]</tt> true, if such a node can be found.

    ///

    ///\param nm A \c bool (or convertible) node map. The algorithm

    ///will stop when it reaches a node \c v with <tt>nm[v]</tt> true.

    ///

    ///\return The reached node \c v with <tt>nm[v]</tt> true or

    ///\c INVALID if no such node was found.

    ///

    ///\pre init() must be called and at least one root node should be

    ///added with addSource() before using this function.

    template<class NodeBoolMap>

    Node start(const NodeBoolMap &nm)

    {

      while ( !_heap->empty() && !nm[_heap->top()] ) processNextNode();

      if ( _heap->empty() ) return INVALID;

      finalizeNodeData(_heap->top(),_heap->prio());

      return _heap->top();

    }

    ///This method runs the %Dijkstra algorithm from node \c s

    ///in order to compute the shortest path to each node.

    ///

    ///The algorithm computes

    ///- the shortest path tree,

    ///- the distance of each node from the root.

    ///

    ///\note <tt>d.run(s)</tt> is just a shortcut of the following code.

    ///\code

    ///  d.init();

    ///  d.addSource(s);

    ///  d.start();

    ///\endcode

    void run(Node s) {

      init();

      addSource(s);

      start();

    }

    ///Finds the shortest path between \c s and \c t.

    ///This method runs the %Dijkstra algorithm from node \c s

    ///

    ///

    ///\note Apart from the return value, <tt>d.run(s,t)</tt> is just a

    ///shortcut of the following code.

    ///\code

    ///  d.init();

    ///  d.addSource(s);

    ///  d.start(t);

    ///\endcode

      init();

      addSource(s);

      start(t);

    }

    ///@}

    ///\name Query Functions

    ///The result of the %Dijkstra algorithm can be obtained using these

    ///functions.\n

    ///Either \ref lemon::Dijkstra::run() "run()" or

    ///\ref lemon::Dijkstra::start() "start()" must be called before

    ///using them.

    ///@{

    ///The shortest path to a node.

    ///Returns the shortest path to a node.

    ///\pre Either \ref run() or \ref init()

    ///must be called before using this function.

    const PredMap &predMap() const { return *_pred;}

    ///Checks if a node is reachable from the root(s).

    ///Returns \c true if \c v is reachable from the root(s).

    ///\pre Either \ref run() or \ref start()

    ///must be called before using this function.

    bool reached(Node v) const { return (*_heap_cross_ref)[v] !=

                                        Heap::PRE_HEAP; }

    ///Checks if a node is processed.

    ///Returns \c true if \c v is processed, i.e. the shortest

    ///path to \c v has already found.

    ///must be called before using this function.

    bool processed(Node v) const { return (*_heap_cross_ref)[v] ==

                                          Heap::POST_HEAP; }

    ///The current distance of a node from the root(s).

    ///Returns the current distance of a node from the root(s).

    ///It may be decreased in the following processes.

    ///@}

  };

  ///Default traits class of dijkstra() function.

  ///Default traits class of dijkstra() function.

  ///\tparam GR The type of the digraph.

  ///\tparam LM The type of the length map.

  template<class GR, class LM>

  struct DijkstraWizardDefaultTraits

  {

    ///The type of the digraph the algorithm runs on.

    typedef GR Digraph;

    ///The type of the map that stores the arc lengths.

  "     label\n"

  "0 1  0\n"

  "1 2  1\n"

  "2 3  2\n"

  "3 4  3\n"

  "0 3  4\n"

  "0 3  5\n"

  "5 2  6\n"

  "@attributes\n"

  "source 0\n"

  "target 4\n";

void checkBfsCompile()

{

  typedef concepts::Digraph Digraph;

  typedef Bfs<Digraph> BType;

  Digraph G;

  int l;

  bool b;

  BType::DistMap d(G);

  BType::PredMap p(G);

}

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();

  bfs(g)

    .predMap(concepts::ReadWriteMap<Node,Arc>())

  "0 1  0\n"

  "1 2  1\n"

  "2 3  2\n"

  "1 4  3\n"

  "4 2  4\n"

  "4 5  5\n"

  "5 0  6\n"

  "6 3  7\n"

  "@attributes\n"

  "source 0\n"

  "target 5\n";

void checkDfsCompile()

{

  typedef concepts::Digraph Digraph;

  typedef Dfs<Digraph> DType;

  Digraph G;

  int l;

  bool b;

  DType::DistMap d(G);

  DType::PredMap p(G);

}

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();

  dfs(g)

    .predMap(concepts::ReadWriteMap<Node,Arc>())

 * 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 "graph_test.h"

#include "test_tools.h"

using namespace lemon;

char test_lgf[] =

  "@nodes\n"

  "label\n"

  "0\n"

  "1\n"

  "2\n"

  "3\n"

  "4\n"

  "@arcs\n"

  "     label length\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 checkDijkstraCompile()

{

  typedef int VType;

  typedef concepts::Digraph Digraph;

  typedef concepts::ReadMap<Digraph::Arc,VType> LengthMap;

  typedef Dijkstra<Digraph, LengthMap> DType;

  Digraph G;

  VType l;

  bool b;

  DType::DistMap d(G);

  DType::PredMap p(G);

  LengthMap length;

}

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;

  bool b;

  dijkstra(g,LengthMap()).run(Node());

  b=dijkstra(g,LengthMap()).run(Node(),Node());

  dijkstra(g,LengthMap())

    .predMap(concepts::ReadWriteMap<Node,Arc>())