r808:5795860737f5
Thu, 06 Aug 2009 20:28:28
[Not Reviewed]
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@@ -32,6 +32,63 @@ |
| 32 | 32 |
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namespace lemon {
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| 34 | 34 |
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/// \brief Default traits class of MinMeanCycle class. |
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/// |
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/// Default traits class of MinMeanCycle class. |
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/// \tparam GR The type of the digraph. |
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/// \tparam LEN The type of the length map. |
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/// It must conform to the \ref concepts::ReadMap "ReadMap" concept. |
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#ifdef DOXYGEN |
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template <typename GR, typename LEN> |
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#else |
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template <typename GR, typename LEN, |
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bool integer = std::numeric_limits<typename LEN::Value>::is_integer> |
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#endif |
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struct MinMeanCycleDefaultTraits |
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{
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/// The type of the digraph |
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typedef GR Digraph; |
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/// The type of the length map |
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typedef LEN LengthMap; |
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/// The type of the arc lengths |
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typedef typename LengthMap::Value Value; |
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|
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/// \brief The large value type used for internal computations |
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/// |
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/// The large value type used for internal computations. |
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/// It is \c long \c long if the \c Value type is integer, |
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/// otherwise it is \c double. |
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/// \c Value must be convertible to \c LargeValue. |
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typedef double LargeValue; |
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/// The tolerance type used for internal computations |
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typedef lemon::Tolerance<LargeValue> Tolerance; |
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/// \brief The path type of the found cycles |
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/// |
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/// The path type of the found cycles. |
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/// It must conform to the \ref lemon::concepts::Path "Path" concept |
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/// and it must have an \c addBack() function. |
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typedef lemon::Path<Digraph> Path; |
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}; |
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// Default traits class for integer value types |
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template <typename GR, typename LEN> |
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struct MinMeanCycleDefaultTraits<GR, LEN, true> |
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{
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typedef GR Digraph; |
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typedef LEN LengthMap; |
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typedef typename LengthMap::Value Value; |
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#ifdef LEMON_HAVE_LONG_LONG |
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typedef long long LargeValue; |
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#else |
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typedef long LargeValue; |
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#endif |
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typedef lemon::Tolerance<LargeValue> Tolerance; |
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typedef lemon::Path<Digraph> Path; |
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}; |
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/// \addtogroup shortest_path |
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/// @{
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@@ -44,26 +101,44 @@ |
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/// \tparam GR The type of the digraph the algorithm runs on. |
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/// \tparam LEN The type of the length map. The default |
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/// map type is \ref concepts::Digraph::ArcMap "GR::ArcMap<int>". |
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/// |
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/// \warning \c LEN::Value must be convertible to \c double. |
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#ifdef DOXYGEN |
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template <typename GR, typename LEN> |
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template <typename GR, typename LEN, typename TR> |
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#else |
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template < typename GR, |
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typename LEN = typename GR::template ArcMap<int> |
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typename LEN = typename GR::template ArcMap<int>, |
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typename TR = MinMeanCycleDefaultTraits<GR, LEN> > |
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#endif |
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class MinMeanCycle |
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{
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public: |
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/// The type of the digraph the algorithm runs on |
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typedef GR Digraph; |
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/// The type of the digraph |
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typedef typename TR::Digraph Digraph; |
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/// The type of the length map |
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typedef |
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typedef typename TR::LengthMap LengthMap; |
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/// The type of the arc lengths |
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typedef typename LengthMap::Value Value; |
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/// The type of the paths |
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typedef |
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typedef typename TR::Value Value; |
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/// \brief The large value type |
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/// |
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/// The large value type used for internal computations. |
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/// Using the \ref MinMeanCycleDefaultTraits "default traits class", |
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/// it is \c long \c long if the \c Value type is integer, |
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/// otherwise it is \c double. |
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typedef typename TR::LargeValue LargeValue; |
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/// The tolerance type |
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typedef typename TR::Tolerance Tolerance; |
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/// \brief The path type of the found cycles |
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/// |
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/// The path type of the found cycles. |
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/// Using the \ref MinMeanCycleDefaultTraits "default traits class", |
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/// it is \ref lemon::Path "Path<Digraph>". |
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typedef typename TR::Path Path; |
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/// The \ref MinMeanCycleDefaultTraits "traits class" of the algorithm |
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typedef TR Traits; |
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private: |
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@@ -76,7 +151,7 @@ |
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// Data for the found cycles |
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bool _curr_found, _best_found; |
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LargeValue _curr_length, _best_length; |
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int _curr_size, _best_size; |
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Node _curr_node, _best_node; |
| 82 | 157 |
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@@ -87,7 +162,7 @@ |
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typename Digraph::template NodeMap<Arc> _policy; |
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typename Digraph::template NodeMap<bool> _reached; |
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typename Digraph::template NodeMap<int> _level; |
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typename Digraph::template NodeMap< |
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typename Digraph::template NodeMap<LargeValue> _dist; |
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// Data for storing the strongly connected components |
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int _comp_num; |
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@@ -99,8 +174,50 @@ |
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// Queue used for BFS search |
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std::vector<Node> _queue; |
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int _qfront, _qback; |
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Tolerance _tolerance; |
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public: |
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/// \name Named Template Parameters |
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/// @{
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template <typename T> |
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struct SetLargeValueTraits : public Traits {
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typedef T LargeValue; |
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typedef lemon::Tolerance<T> Tolerance; |
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}; |
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/// \brief \ref named-templ-param "Named parameter" for setting |
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/// \c LargeValue type. |
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/// |
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/// \ref named-templ-param "Named parameter" for setting \c LargeValue |
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/// type. It is used for internal computations in the algorithm. |
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template <typename T> |
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struct SetLargeValue |
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: public MinMeanCycle<GR, LEN, SetLargeValueTraits<T> > {
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typedef MinMeanCycle<GR, LEN, SetLargeValueTraits<T> > Create; |
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}; |
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template <typename T> |
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struct SetPathTraits : public Traits {
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typedef T Path; |
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}; |
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/// \brief \ref named-templ-param "Named parameter" for setting |
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/// \c %Path type. |
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/// |
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/// \ref named-templ-param "Named parameter" for setting the \c %Path |
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/// type of the found cycles. |
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/// It must conform to the \ref lemon::concepts::Path "Path" concept |
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/// and it must have an \c addBack() function. |
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template <typename T> |
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struct SetPath |
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: public MinMeanCycle<GR, LEN, SetPathTraits<T> > {
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typedef MinMeanCycle<GR, LEN, SetPathTraits<T> > Create; |
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}; |
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/// @} |
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public: |
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@@ -235,7 +352,7 @@ |
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/// |
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/// \pre \ref run() or \ref findMinMean() must be called before |
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/// using this function. |
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LargeValue cycleLength() const {
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return _best_length; |
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} |
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@@ -284,7 +401,6 @@ |
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// Initialize |
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void init() {
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_tol.epsilon(1e-6); |
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if (!_cycle_path) {
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_local_path = true; |
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_cycle_path = new Path; |
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@@ -333,7 +449,7 @@ |
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return false; |
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} |
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for (int i = 0; i < int(_nodes->size()); ++i) {
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_dist[(*_nodes)[i]] = std::numeric_limits< |
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_dist[(*_nodes)[i]] = std::numeric_limits<LargeValue>::max(); |
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} |
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Node u, v; |
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Arc e; |
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@@ -356,7 +472,7 @@ |
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for (int i = 0; i < int(_nodes->size()); ++i) {
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_level[(*_nodes)[i]] = -1; |
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} |
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LargeValue clength; |
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int csize; |
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Node u, v; |
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_curr_found = false; |
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@@ -392,7 +508,6 @@ |
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for (int i = 0; i < int(_nodes->size()); ++i) {
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_reached[(*_nodes)[i]] = false; |
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} |
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double curr_mean = double(_curr_length) / _curr_size; |
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_qfront = _qback = 0; |
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_queue[0] = _curr_node; |
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_reached[_curr_node] = true; |
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@@ -406,7 +521,7 @@ |
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u = _gr.source(e); |
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if (_policy[u] == e && !_reached[u]) {
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_reached[u] = true; |
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_dist[u] = _dist[v] + _length[e] - |
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_dist[u] = _dist[v] + _length[e] * _curr_size - _curr_length; |
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_queue[++_qback] = u; |
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} |
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} |
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@@ -423,7 +538,7 @@ |
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if (!_reached[u]) {
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_reached[u] = true; |
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_policy[u] = e; |
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_dist[u] = _dist[v] + _length[e] - |
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_dist[u] = _dist[v] + _length[e] * _curr_size - _curr_length; |
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_queue[++_qback] = u; |
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} |
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} |
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@@ -436,8 +551,8 @@ |
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for (int j = 0; j < int(_in_arcs[v].size()); ++j) {
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e = _in_arcs[v][j]; |
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u = _gr.source(e); |
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double delta = _dist[v] + _length[e] - curr_mean; |
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if (_tol.less(delta, _dist[u])) {
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LargeValue delta = _dist[v] + _length[e] * _curr_size - _curr_length; |
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if (_tolerance.less(delta, _dist[u])) {
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_dist[u] = delta; |
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_policy[u] = e; |
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improved = true; |
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