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package bjc.utils.graph;
import bjc.utils.data.IHolder;
import bjc.utils.data.Identity;
import bjc.utils.funcdata.FunctionalMap;
import bjc.utils.funcdata.IList;
import bjc.utils.funcdata.IMap;
import java.util.ArrayList;
import java.util.HashSet;
import java.util.List;
import java.util.NoSuchElementException;
import java.util.PriorityQueue;
import java.util.Queue;
import java.util.Set;
import java.util.function.BiConsumer;
import java.util.function.BiPredicate;
/**
* A directed weighted graph, where the vertices have some arbitrary label
*
* @author ben
*
* @param <T>
* The label for vertices
*/
public class Graph<T> {
/**
* Create a graph from a list of edges
*
* @param <E>
* The type of data stored in the edges
*
* @param edges
* The list of edges to build from
* @return A graph built from the provided edge-list
*/
public static <E> Graph<E> fromEdgeList(List<Edge<E>> edges) {
Graph<E> g = new Graph<>();
edges.forEach(edge -> {
g.addEdge(edge.getSource(), edge.getTarget(), edge.getDistance(), true);
});
return g;
}
/**
* The backing representation of the graph
*/
private final IMap<T, IMap<T, Integer>> backing;
/**
* Create a new graph
*/
public Graph() {
backing = new FunctionalMap<>();
}
/**
* Add a edge to the graph
*
* @param source
* The source vertex for this edge
* @param target
* The target vertex for this edge
* @param distance
* The distance from the source vertex to the target
* vertex
* @param directed
* Whether or not
*/
public void addEdge(T source, T target, int distance, boolean directed) {
// Can't add edges with a null source or target
if(source == null)
throw new NullPointerException("The source vertex cannot be null");
else if(target == null) throw new NullPointerException("The target vertex cannot be null");
// Initialize adjacency list for vertices if necessary
if(!backing.containsKey(source)) {
backing.put(source, new FunctionalMap<T, Integer>());
}
// Add the edge to the graph
backing.get(source).put(target, distance);
// Handle possible directed edges
if(!directed) {
if(!backing.containsKey(target)) {
backing.put(target, new FunctionalMap<T, Integer>());
}
backing.get(target).put(source, distance);
}
}
/**
* Execute an action for all edges of a specific vertex matching
* conditions
*
* @param source
* The vertex to test edges for
* @param matcher
* The conditions an edge must match
* @param action
* The action to execute for matching edges
*/
public void forAllEdgesMatchingAt(T source, BiPredicate<T, Integer> matcher, BiConsumer<T, Integer> action) {
if(matcher == null)
throw new NullPointerException("Matcher must not be null");
else if(action == null) throw new NullPointerException("Action must not be null");
getEdges(source).forEach((target, weight) -> {
if(matcher.test(target, weight)) {
action.accept(target, weight);
}
});
}
/**
* Get all the edges that begin at a particular source vertex
*
* @param source
* The vertex to use as a source
* @return All of the edges with the specified vertex as a source
*/
public IMap<T, Integer> getEdges(T source) {
// Can't find edges for a null source
if(source == null)
throw new NullPointerException("The source cannot be null.");
else if(!backing.containsKey(source))
throw new IllegalArgumentException("Vertex " + source + " is not in graph");
return backing.get(source);
}
/**
* Get the initial vertex of the graph
*
* @return The initial vertex of the graph
*/
public T getInitial() {
return backing.keyList().first();
}
/**
* Uses Prim's algorothm to calculate a MST for the graph.
*
* If the graph is non-connected, this will lead to unpredictable
* results.
*
* @return a list of edges that constitute the MST
*/
public List<Edge<T>> getMinimumSpanningTree() {
// Set of all of the currently available edges
Queue<Edge<T>> available = new PriorityQueue<>(10,
(left, right) -> left.getDistance() - right.getDistance());
// The MST of the graph
List<Edge<T>> minimums = new ArrayList<>();
// The set of all of the visited vertices.
Set<T> visited = new HashSet<>();
// Start at the initial vertex and visit it
IHolder<T> source = new Identity<>(getInitial());
visited.add(source.getValue());
// Make sure we visit all the nodes
while(visited.size() != getVertexCount()) {
// Grab all edges adjacent to the provided edge
forAllEdgesMatchingAt(source.getValue(), (target, weight) -> {
return !visited.contains(target);
}, (target, weight) -> {
T vert = source.unwrap(vertex -> vertex);
available.add(new Edge<>(vert, target, weight));
});
// Get the edge with the minimum distance
IHolder<Edge<T>> minimum = new Identity<>(available.poll());
// Only consider edges where we haven't visited the
// target of
// the edge
while(visited.contains(minimum.getValue())) {
minimum.transform((edge) -> available.poll());
}
// Add it to our MST
minimums.add(minimum.getValue());
// Advance to the next node
source.transform((vertex) -> minimum.unwrap(edge -> edge.getTarget()));
// Visit this node
visited.add(source.getValue());
}
return minimums;
}
/**
* Get the count of the vertices in this graph
*
* @return A count of the vertices in this graph
*/
public int getVertexCount() {
return backing.getSize();
}
/**
* Get all of the vertices in this graph.
*
* @return A unmodifiable set of all the vertices in the graph.
*/
public IList<T> getVertices() {
return backing.keyList();
}
/**
* Remove the edge starting at the source and ending at the target
*
* @param source
* The source vertex for the edge
* @param target
* The target vertex for the edge
*/
public void removeEdge(T source, T target) {
// Can't remove things w/ null vertices
if(source == null)
throw new NullPointerException("The source vertex cannot be null");
else if(target == null) throw new NullPointerException("The target vertex cannot be null");
// Can't remove if one vertice doesn't exists
if(!backing.containsKey(source))
throw new NoSuchElementException("vertex " + source + " does not exist.");
if(!backing.containsKey(target))
throw new NoSuchElementException("vertex " + target + " does not exist.");
backing.get(source).remove(target);
// Uncomment this to turn the graph undirected
// graph.get(target).remove(source);
}
/**
* Convert a graph into a adjacency map/matrix
*
* @return A adjacency map representing this graph
*/
public AdjacencyMap<T> toAdjacencyMap() {
AdjacencyMap<T> adjacency = new AdjacencyMap<>(backing.keyList());
backing.forEach((sourceKey, sourceValue) -> {
sourceValue.forEach((targetKey, targetValue) -> {
adjacency.setWeight(sourceKey, targetKey, targetValue);
});
});
return adjacency;
}
}
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