Add example of simple graph algorithms
+ Using pseudocode examples from MIT Intro to Algorithms
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LANGUAGES CXX
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LANGUAGES CXX
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)
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add_subdirectory(graphs)
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add_subdirectory(sorting)
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add_subdirectory(sorting)
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add_subdirectory(trees)
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add_subdirectory(trees)
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###############################################################################
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## Author: Shaun Reed ##
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## Legal: All Content (c) 2021 Shaun Reed, all rights reserved ##
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## About: A root project for practicing graph algorithms in C++ ##
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## ##
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## Contact: shaunrd0@gmail.com | URL: www.shaunreed.com | GitHub: shaunrd0 ##
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##############################################################################
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#
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cmake_minimum_required(VERSION 3.15)
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project (
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#[[NAME]] Graphs
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VERSION 1.0
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DESCRIPTION "A project for practicing algorithms using graphs in C++"
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LANGUAGES CXX
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)
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add_subdirectory(simple)
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###############################################################################
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## Author: Shaun Reed ##
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## Legal: All Content (c) 2021 Shaun Reed, all rights reserved ##
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## About: A CMakeLists configuration to test a simple graph implementation ##
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## ##
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## Contact: shaunrd0@gmail.com | URL: www.shaunreed.com | GitHub: shaunrd0 ##
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##############################################################################
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#
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cmake_minimum_required(VERSION 3.15)
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project(
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#[[NAME]] SimpleGraph
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VERSION 1.0
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DESCRIPTION "Practice implementing and using simple graphs in C++"
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LANGUAGES CXX
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)
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add_library(lib-graph-simple "lib-graph.cpp")
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add_executable(graph-test-simple "graph.cpp")
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target_link_libraries(graph-test-simple lib-graph-simple)
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/*#############################################################################
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## Author: Shaun Reed ##
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## Legal: All Content (c) 2021 Shaun Reed, all rights reserved ##
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## About: Driver program to test a simple graph implementation ##
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## ##
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## Contact: shaunrd0@gmail.com | URL: www.shaunreed.com | GitHub: shaunrd0 ##
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###############################################################################
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*/
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#include "lib-graph.hpp"
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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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{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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{4, {3, 7, 8}},
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{5, {1}},
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{6, {2, 3, 7}},
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{7, {3, 4, 6, 8}},
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{8, {4, 6}},
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};
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// Graph bfsGraph(localNodes);
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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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// Initialize a example graph for Breadth First Search
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Graph bfsGraph (
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{
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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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{4, {3, 7, 8}},
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{5, {1}},
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{6, {2, 3, 7}},
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{7, {3, 4, 6, 8}},
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{8, {4, 6}},
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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 22.3 on BFS
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bfsGraph.BFS(2);
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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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Graph dfsGraph (
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{
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{1, {2, 4}},
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{2, {5}},
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{3, {5, 6}},
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{4, {2}},
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{5, {4}},
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{6, {6}},
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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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dfsGraph.DFS();
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std::cout << "\n\n##### Topological Sort #####\n";
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// Initialize an example graph for Topological Sort
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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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}
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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 22.7 on Topological Sort
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// + Each node was replaced with a value from left-to-right, top-to-bottom
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// + Undershorts = 1, Socks = 2, Watch = 3, Pants = 4, etc...
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std::vector<int> order = topologicalGraph.TopologicalSort();
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// Because this is a simple graph with no objects to store finishing time
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// + The result is only one example of valid topological order
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// + There are other valid orders; Final result differs from one in the book
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std::cout << "\n\nTopological order: ";
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while (!order.empty()) {
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std::cout << order.back() << " ";
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order.pop_back();
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}
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std::cout << std::endl;
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}
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@ -0,0 +1,137 @@
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/*##############################################################################
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## Author: Shaun Reed ##
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## Legal: All Content (c) 2021 Shaun Reed, all rights reserved ##
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## About: An example of a simple graph implementation ##
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## Algorithms in this example are found in MIT Intro to Algorithms ##
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## ##
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## Contact: shaunrd0@gmail.com | URL: www.shaunreed.com | GitHub: shaunrd0 ##
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################################################################################
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*/
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#include "lib-graph.hpp"
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void Graph::BFS(int startNode)
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{
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// Track the nodes we have discovered
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std::vector<bool> discovered(nodes_.size());
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for (bool node : discovered) node = false; // Initialize all nodes to false
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// Create a queue to visit discovered nodes in FIFO order
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std::queue<int> visitQueue;
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// Visit the startNode
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discovered[startNode] = true;
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visitQueue.push(startNode);
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// Continue to visit nodes until there are none left in the graph
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while (!visitQueue.empty()) {
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std::cout << "Visiting node " << visitQueue.front() << std::endl;
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// Remove thisNode from the visitQueue, storing its vertex locally
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int thisNode = visitQueue.front();
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visitQueue.pop();
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// Check if we have already discovered all the adjacentNodes to thisNode
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for (const auto &adjacent : nodes_[thisNode]) {
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if (!discovered[adjacent]) {
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std::cout << "Found undiscovered adjacentNode: " << adjacent << "\n";
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// Mark the adjacent node as discovered
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// + If this were done out of the for loop we could discover nodes twice
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// + This would result in visiting the node twice, since it appears
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// In the visitQueue twice
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discovered[adjacent] = true;
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// Add the discovered node the the visitQueue
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visitQueue.push(adjacent);
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}
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}
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}
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}
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void Graph::DFS()
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{
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// Track the nodes we have discovered
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std::vector<bool> discovered(nodes_.size());
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for (auto node : discovered) node = false; // Initialize nodes to false
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// Visit each node in the graph
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for (const auto &node : nodes_) {
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std::cout << "Visiting node " << node.first << std::endl;
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// If the node is undiscovered, visit it
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if (!discovered[node.first]) {
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std::cout << "Found undiscovered node: " << node.first << std::endl;
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// Mark the node as visited so we don't visit it twice
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discovered[node.first] = true;
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// Visiting the undiscovered node will check it's adjacent nodes
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DFSVisit(node.first, discovered);
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}
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}
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}
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void Graph::DFSVisit(int startNode, std::vector<bool> &discovered)
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{
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// Check the adjacent nodes of the startNode
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for (auto &adjacent : nodes_[startNode]) {
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// If the adjacentNode is undiscovered, visit it
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if (!discovered[adjacent]) {
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std::cout << "Found undiscovered adjacentNode: " << adjacent << std::endl;
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// Mark the node as visited so we don't visit it twice
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discovered[adjacent] = true;
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// Visiting the undiscovered node will check it's adjacent nodes
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DFSVisit(adjacent, discovered);
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}
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}
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}
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std::vector<int> Graph::TopologicalSort()
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{
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std::vector<int> topologicalOrder;
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// Track the nodes we have discovered
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std::vector<bool> discovered(nodes_.size());
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for (auto node : discovered) node = false; // Initialize nodes to false
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// Visit each node in the graph
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for (const auto &node : nodes_) {
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std::cout << "Visiting node " << node.first << std::endl;
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// If the node is undiscovered, visit it
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// + Offset by 1 to account for 0 index of discovered vector
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if (!discovered[node.first - 1]) {
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std::cout << "Found undiscovered node: " << node.first << std::endl;
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// Visiting the undiscovered node will check it's adjacent nodes
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TopologicalVisit(node.first, discovered, topologicalOrder);
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}
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}
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// The topologicalOrder is read right-to-left in the final result
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// + Output is handled in main as FILO, similar to a stack
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return topologicalOrder;
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}
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void Graph::TopologicalVisit(
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int startNode, std::vector<bool> &discovered, std::vector<int> &order
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)
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{
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// Mark the node as visited so we don't visit it twice
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discovered[startNode - 1] = true;
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// Check the adjacent nodes of the startNode
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for (auto &adjacent : nodes_[startNode]) {
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// If the adjacentNode is undiscovered, visit it
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if (!discovered[adjacent - 1]) {
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std::cout << "Found undiscovered adjacentNode: " << adjacent << std::endl;
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// Visiting the undiscovered node will check it's adjacent nodes
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TopologicalVisit(adjacent, discovered, order);
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}
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}
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// Add startNode to the topologicalOrder
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order.push_back(startNode);
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}
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/*#############################################################################
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## Author: Shaun Reed ##
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## Legal: All Content (c) 2021 Shaun Reed, all rights reserved ##
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## About: An example of a simple graph implementation ##
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## Algorithms in this example are found in MIT Intro to Algorithms ##
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## ##
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## Contact: shaunrd0@gmail.com | URL: www.shaunreed.com | GitHub: shaunrd0 ##
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###############################################################################
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*/
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#ifndef LIB_GRAPH_HPP
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#define LIB_GRAPH_HPP
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#include <iostream>
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#include <map>
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#include <queue>
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#include <set>
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#include <vector>
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class Graph {
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public:
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explicit Graph(std::map<int, std::set<int>> nodes) : nodes_(std::move(nodes)) {}
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std::map<int, std::set<int>> nodes_;
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void BFS(int startNode);
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void DFS();
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void DFSVisit(int startNode, std::vector<bool> &discovered);
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std::vector<int> TopologicalSort();
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void TopologicalVisit(
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int startNode, std::vector<bool> &discovered, std::vector<int> &order
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);
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};
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#endif // LIB_GRAPH_HPP
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