Update object graph implementation to track node discover and finish time
+ Allows traversal and topological sort algorithms to show examples from MIT Algorithms more accurately
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@@ -14,7 +14,7 @@
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int main (const int argc, const char * argv[])
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{
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// We could initialize the graph with some localNodes...
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std::map<int, std::set<int>> localNodes{
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std::map<int, std::vector<int>> localNodes{
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{1, {2, 5}}, // Node 1
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{2, {1, 6}}, // Node 2
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{3, {4, 6, 7}},
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@@ -26,13 +26,6 @@ int main (const int argc, const char * argv[])
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};
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// Graph bfsGraph(localNodes);
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// Graph testGraph(
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// {
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// {Node(1, {2, 5})},
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//// {Node(1, {2, 5})},
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// }
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// )
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std::cout << "\n\n##### Breadth First Search #####\n";
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// Or we could use an initializer list...
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@@ -77,19 +70,20 @@ int main (const int argc, const char * argv[])
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// Initialize an example graph for Depth First Search
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Graph topologicalGraph (
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{
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{1, {4, 5}},
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{2, {5}},
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{3, {}},
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{4, {5, 7}},
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{5, {}},
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{6, {7, 8}},
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{7, {9}},
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{8, {9}},
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{9, {}},
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{6, {8, 7}}, // shirt
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{8, {9}}, // tie
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{7, {9}}, // belt
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{9, {}}, // jacket
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{3, {}}, // watch
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{1, {4, 5}}, // undershorts
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{4, {5, 7}}, // pants
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{5, {}}, // shoes
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{2, {5}}, // socks
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}
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);
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// The graph traversed in this example is seen in MIT Intro to Algorithms
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// + Chapter 22, Figure 22.4 on DFS
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// Unlike the simple-graph example, this final result matches MIT Algorithms
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std::vector<Node> order = topologicalGraph.TopologicalSort();
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std::cout << "\n\nTopological order: ";
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while (!order.empty()) {
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