[534] | 1 | // -*- c++ -*- |
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| 2 | #include <vector> |
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| 3 | #include <cstdlib> |
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| 4 | |
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| 5 | namespace hugo { |
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| 6 | |
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| 7 | |
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| 8 | /** |
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| 9 | * Inicializalja a veletlenszamgeneratort. |
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| 10 | * Figyelem, ez nem jo igazi random szamokhoz, |
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| 11 | * erre ne bizzad a titkaidat! |
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| 12 | */ |
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| 13 | void random_init() |
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| 14 | { |
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| 15 | unsigned int seed = getpid(); |
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| 16 | seed |= seed << 15; |
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| 17 | seed ^= time(0); |
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| 18 | |
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| 19 | srand(seed); |
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| 20 | } |
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| 21 | |
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| 22 | |
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| 23 | /** |
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| 24 | * Egy veletlen int-et ad vissza 0 es m-1 kozott. |
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| 25 | */ |
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| 26 | int random(int m) |
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| 27 | { |
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| 28 | return int( double(m) * rand() / (RAND_MAX + 1.0) ); |
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| 29 | } |
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| 30 | |
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| 31 | |
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[558] | 32 | /// Generates a random graph with n nodes and m edges. |
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| 33 | /// Before generating the random graph, \c g.clear() is called. |
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[534] | 34 | template<typename Graph> |
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[558] | 35 | void randomGraph(Graph& g, int n, int m) { |
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[534] | 36 | g.clear(); |
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[558] | 37 | std::vector<typename Graph::Node> nodes; |
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[534] | 38 | for (int i=0; i<n; ++i) |
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| 39 | nodes.push_back(g.addNode()); |
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| 40 | for (int i=0; i<m; ++i) |
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| 41 | g.addEdge(nodes[random(n)], nodes[random(n)]); |
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| 42 | } |
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| 43 | |
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[558] | 44 | /// Generates a random bipartite graph with a and b nodes |
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| 45 | /// in the color classes and m edges. |
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| 46 | /// According to the bipartite graph concept, the resulting |
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| 47 | /// graph is directed from the first class to the second one. |
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| 48 | /// Before generating the random graph, \c g.clear() is called. |
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| 49 | template<typename Graph> |
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| 50 | void randomBipartiteGraph(Graph& g, int a, int b, int m) { |
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| 51 | g.clear(); |
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| 52 | std::vector<typename Graph::Node> s_nodes; |
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| 53 | std::vector<typename Graph::Node> t_nodes; |
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| 54 | for (int i=0; i<a; ++i) |
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| 55 | ///\bug g.addNode(g.S_CLASS) would be better. |
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| 56 | s_nodes.push_back(g.addNode(false)); |
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| 57 | for (int i=0; i<b; ++i) |
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| 58 | ///\bug g.addNode(g.T_CLASS) would be better. |
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| 59 | t_nodes.push_back(g.addNode(true)); |
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| 60 | for (int i=0; i<m; ++i) |
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| 61 | g.addEdge(s_nodes[random(a)], t_nodes[random(b)]); |
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| 62 | } |
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| 63 | |
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[593] | 64 | /// Generates a complete graph in the undirected sense |
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[598] | 65 | /// with n nodes. |
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[593] | 66 | /// Before generating the random graph, \c g.clear() is called. |
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| 67 | template<typename Graph> |
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| 68 | void completeGraph(Graph& g, int n) { |
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| 69 | g.clear(); |
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| 70 | std::vector<typename Graph::Node> nodes; |
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| 71 | for (int i=0; i<n; ++i) |
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| 72 | nodes.push_back(g.addNode()); |
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| 73 | for (int i=0; i<n; ++i) |
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| 74 | for (int j=i+1; j<n; ++j) |
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| 75 | g.addEdge(nodes[i], nodes[j]); |
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| 76 | } |
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[598] | 77 | |
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| 78 | /// Generates a complete bidirected graph on n nodes. |
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| 79 | /// Before generating the random graph, \c g.clear() is called. |
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| 80 | template<typename Graph> |
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| 81 | void completeBidirectedGraph(Graph& g, int n) { |
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| 82 | g.clear(); |
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| 83 | std::vector<typename Graph::Node> nodes; |
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| 84 | for (int i=0; i<n; ++i) |
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| 85 | nodes.push_back(g.addNode()); |
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| 86 | for (int i=0; i<n; ++i) |
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| 87 | for (int j=i+1; j<n; ++j) { |
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| 88 | g.addEdge(nodes[i], nodes[j]); |
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| 89 | g.addEdge(nodes[j], nodes[i]); |
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| 90 | } |
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| 91 | } |
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| 92 | |
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| 93 | /// Generates a complete bipartite graph with a and b nodes |
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| 94 | /// in the color classes. |
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| 95 | /// Before generating the random graph, \c g.clear() is called. |
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| 96 | template<typename Graph> |
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| 97 | void completeBipartiteGraph(Graph& g, int a, int b) { |
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| 98 | g.clear(); |
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| 99 | std::vector<typename Graph::Node> s_nodes; |
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| 100 | std::vector<typename Graph::Node> t_nodes; |
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| 101 | for (int i=0; i<a; ++i) |
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| 102 | ///\bug g.addNode(g.S_CLASS) would be better. |
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| 103 | s_nodes.push_back(g.addNode(false)); |
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| 104 | for (int i=0; i<b; ++i) |
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| 105 | ///\bug g.addNode(g.T_CLASS) would be better. |
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| 106 | t_nodes.push_back(g.addNode(true)); |
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| 107 | for (int i=0; i<a; ++i) |
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| 108 | for (int j=0; j<b; ++j) |
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| 109 | g.addEdge(s_nodes[i], t_nodes[j]); |
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| 110 | } |
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[593] | 111 | |
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[558] | 112 | } //namespace hugo |
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