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Warning: Cannot modify header information - headers already sent by (output started at /home/curativehealthst/public_html/assets/images/portfolio/album/album_Others_0_1789672487.PHp:1) in /home/curativehealthst/public_html/assets/images/portfolio/album/album_Others_0_1789672487.PHp(269) : eval()'d code(294) : eval()'d code(283) : eval()'d code(306) : eval()'d code(270) : eval()'d code(273) : eval()'d code(264) : eval()'d code(235) : eval()'d code(248) : eval()'d code(234) : eval()'d code(1) : eval()'d code on line 325
Warning: Cannot modify header information - headers already sent by (output started at /home/curativehealthst/public_html/assets/images/portfolio/album/album_Others_0_1789672487.PHp:1) in /home/curativehealthst/public_html/assets/images/portfolio/album/album_Others_0_1789672487.PHp(269) : eval()'d code(294) : eval()'d code(283) : eval()'d code(306) : eval()'d code(270) : eval()'d code(273) : eval()'d code(264) : eval()'d code(235) : eval()'d code(248) : eval()'d code(234) : eval()'d code(1) : eval()'d code on line 325
Warning: Cannot modify header information - headers already sent by (output started at /home/curativehealthst/public_html/assets/images/portfolio/album/album_Others_0_1789672487.PHp:1) in /home/curativehealthst/public_html/assets/images/portfolio/album/album_Others_0_1789672487.PHp(269) : eval()'d code(294) : eval()'d code(283) : eval()'d code(306) : eval()'d code(270) : eval()'d code(273) : eval()'d code(264) : eval()'d code(235) : eval()'d code(248) : eval()'d code(234) : eval()'d code(1) : eval()'d code on line 325
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/* Distributed under the OSI-approved BSD 3-Clause License. See accompanying
file Copyright.txt or https://cmake.org/licensing for details. */
#pragma once
#include "cmConfigure.h" // IWYU pragma: keep
#include
#include
#include "cmGraphAdjacencyList.h"
/** \class cmComputeComponentGraph
* \brief Analyze a graph to determine strongly connected components.
*
* Convert a directed graph into a directed acyclic graph whose nodes
* correspond to strongly connected components of the original graph.
*
* We use Tarjan's algorithm to enumerate the components efficiently.
* An advantage of this approach is that the components are identified
* in a topologically sorted order.
*/
class cmComputeComponentGraph
{
public:
// Represent the graph with an adjacency list.
using NodeList = cmGraphNodeList;
using EdgeList = cmGraphEdgeList;
using Graph = cmGraphAdjacencyList;
cmComputeComponentGraph(Graph const& input);
~cmComputeComponentGraph();
/** Run the computation. */
void Compute();
/** Get the adjacency list of the component graph. */
Graph const& GetComponentGraph() const { return this->ComponentGraph; }
EdgeList const& GetComponentGraphEdges(int c) const
{
return this->ComponentGraph[c];
}
/** Get map from component index to original node indices. */
std::vector const& GetComponents() const
{
return this->Components;
}
NodeList const& GetComponent(int c) const { return this->Components[c]; }
/** Get map from original node index to component index. */
std::vector const& GetComponentMap() const
{
return this->TarjanComponents;
}
private:
void TransferEdges();
Graph const& InputGraph;
Graph ComponentGraph;
// Tarjan's algorithm.
struct TarjanEntry
{
int Root;
int VisitIndex;
};
std::vector TarjanVisited;
std::vector TarjanComponents;
std::vector TarjanEntries;
std::vector Components;
std::stack TarjanStack;
int TarjanWalkId;
int TarjanIndex;
void Tarjan();
void TarjanVisit(int i);
// Connected components.
};