Add pathing using BFS within the simple-graph example
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@@ -13,6 +13,9 @@
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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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// This graph uses an unordered_(map/set), so initialization is reversed
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// + So the final order of initialization is 1,2,3,4,5,6,7,8
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// + Similarly, adjacent nodes are inserted at front (6,4 initializes to 4,6)
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std::unordered_map<int, std::unordered_set<int>> localNodes{
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{8, {6, 4}},
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{7, {8, 6, 4, 3}},
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@@ -45,6 +48,17 @@ int main (const int argc, const char * argv[])
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// + Chapter 22, Figure 22.3 on BFS
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bfsGraph.BFS(2);
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std::cout << "\nTesting finding a path between two nodes using BFS...\n";
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auto path = bfsGraph.PathBFS(1, 7);
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if (path.empty()) std::cout << "No valid path found!\n";
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else {
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std::cout << "\nValid path from " << path.front() << " to "
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<< path.back() << ": ";
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for (const auto &node : path) {
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std::cout << node << " ";
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}
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std::cout << std::endl;
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}
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std::cout << "\n\n##### Depth First Search #####\n";
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// Initialize an example graph for Depth First Search
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@@ -64,18 +78,22 @@ int main (const int argc, const char * argv[])
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std::cout << "\n\n##### Topological Sort #####\n";
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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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// Initialize an example graph for Topological Sort
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// + The final result will place node 3 (watch) at the beginning of the order
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// + This is because node 3 has no connecting node
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Graph topologicalGraph (
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{
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{9, {}},
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{8, {9}},
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{7, {9}},
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{6, {7, 8}},
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{5, {}},
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{4, {7, 5}},
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{3, {}},
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{2, {5}},
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{1, {5, 4}},
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{9, {}}, // jacket
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{8, {9}}, // tie
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{7, {9}}, // belt
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{6, {7, 8}}, // shirt
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{5, {}}, // shoes
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{4, {7, 5}}, // pants
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{3, {}}, // watch
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{2, {5}}, // socks
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{1, {5, 4}}, // undershorts
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}
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);
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auto order = topologicalGraph.TopologicalSort(topologicalGraph.GetNode(6));
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@@ -86,9 +104,9 @@ int main (const int argc, const char * argv[])
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}
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std::cout << std::endl << std::endl;
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// If we want the topological order to match what is seen in the book
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// If we want the topological order to exactly match what is seen in the book
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// + We have to initialize the graph carefully to get this result -
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// Because this is an unordered_(map/set) initialization is reversed
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// This graph uses an unordered_(map/set), so initialization is reversed
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// + So the order of nodes on the container below is 6,7,8,9,3,1,4,5,2
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// + The same concept applies to their adjacent nodes (7,8 initializes to 8,7)
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// + In object-graph implementation, I use vectors this does not apply there
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@@ -122,7 +140,5 @@ int main (const int argc, const char * argv[])
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}
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std::cout << std::endl;
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std::cout << std::endl;
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return 0;
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}
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