Remove access to underlying containers inside Graph and Node.
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@@ -24,7 +24,7 @@ public class BellmanFordAlgorithm extends ShortestPathAlgorithm {
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ShortestPathData data = getInputData();
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Graph graph = data.getGraph();
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final int nbNodes = graph.getNodes().size();
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final int nbNodes = graph.size();
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// Initialize array of distances.
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double[] distances = new double[nbNodes];
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@@ -41,8 +41,8 @@ public class BellmanFordAlgorithm extends ShortestPathAlgorithm {
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boolean found = false;
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for (int i = 0; !found && i < nbNodes; ++i) {
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found = true;
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for (Node node: graph.getNodes()) {
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for (Arc arc: node.getSuccessors()) {
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for (Node node: graph) {
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for (Arc arc: node) {
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// Small test to check allowed roads...
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if (!data.isAllowed(arc)) {
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@@ -1,9 +1,9 @@
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//
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// ******************PUBLIC OPERATIONS*********************
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// void insert( x ) --> Insert x
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// void insert( x ) --> Insert x
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// Comparable deleteMin( )--> Return and remove smallest item
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// Comparable findMin( ) --> Return smallest item
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// boolean isEmpty( ) --> Return true if empty; else false
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// Comparable findMin( ) --> Return smallest item
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// boolean isEmpty( ) --> Return true if empty; else false
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// ******************ERRORS********************************
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// Throws RuntimeException for findMin and deleteMin when empty
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@@ -60,20 +60,6 @@ public class BinaryHeap<E extends Comparable<E>> {
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}
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}
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/**
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* @return true if the heap is empty, false otherwise.
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*/
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public boolean isEmpty() {
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return this.currentSize == 0;
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}
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/**
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* @return Current size (number of elements) of this heap.
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*/
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public int size() {
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return this.currentSize;
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}
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/**
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* @return Index of the parent of the given index.
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*/
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@@ -88,17 +74,6 @@ public class BinaryHeap<E extends Comparable<E>> {
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return index * 2 + 1;
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}
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/**
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* Insert the given element into the heap.
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*
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* @param x Item to insert.
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*/
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public void insert(E x) {
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int index = this.currentSize++;
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this.arraySet(index, x);
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this.percolateUp(index);
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}
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/**
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* Internal method to percolate up in the heap.
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*
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@@ -151,6 +126,41 @@ public class BinaryHeap<E extends Comparable<E>> {
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}
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}
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/**
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* @return true if the heap is empty, false otherwise.
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*/
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public boolean isEmpty() {
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return this.currentSize == 0;
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}
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/**
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* @return Current size (number of elements) of this heap.
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*/
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public int size() {
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return this.currentSize;
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}
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/**
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* Insert the given element into the heap.
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*
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* @param x Item to insert.
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*/
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public void add(E x) {
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int index = this.currentSize++;
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this.arraySet(index, x);
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this.percolateUp(index);
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}
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/**
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* Tell the binary heap that the given element has been modified and should be
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* re-positioned inside the heap.
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*
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* @param x Item to update.
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*/
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public void update(E x) {
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// TODO:
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}
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/**
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* Find the smallest item in the heap.
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*
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@@ -160,7 +170,7 @@ public class BinaryHeap<E extends Comparable<E>> {
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*/
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public E findMin() throws RuntimeException {
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if (isEmpty())
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throw new RuntimeException("Empty binary heap");
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throw new RuntimeException("Empty binary heap.");
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return this.array.get(0);
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}
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@@ -4,7 +4,6 @@ import java.util.ArrayList;
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import java.util.Arrays;
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import java.util.HashSet;
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import java.util.LinkedList;
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import java.util.List;
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import java.util.Queue;
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import org.insa.algo.AbstractAlgorithm;
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@@ -72,14 +71,14 @@ public class WeaklyConnectedComponentsAlgorithm
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* graph.
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*/
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protected ArrayList<HashSet<Integer>> createUndirectedGraph() {
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int nNodes = getInputData().getGraph().getNodes().size();
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int nNodes = getInputData().getGraph().size();
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ArrayList<HashSet<Integer>> res = new ArrayList<HashSet<Integer>>(nNodes);
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for (int i = 0; i < nNodes; ++i) {
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res.add(new HashSet<Integer>());
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}
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for (Node node: getInputData().getGraph().getNodes()) {
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for (Arc arc: node.getSuccessors()) {
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for (Node node: getInputData().getGraph()) {
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for (Arc arc: node) {
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res.get(node.getId()).add(arc.getDestination().getId());
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if (arc.getRoadInformation().isOneWay()) {
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res.get(arc.getDestination().getId()).add(node.getId());
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@@ -100,27 +99,27 @@ public class WeaklyConnectedComponentsAlgorithm
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* @return
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*/
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protected ArrayList<Node> bfs(ArrayList<HashSet<Integer>> ugraph, boolean[] marked, int cur) {
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List<Node> nodes = getInputData().getGraph().getNodes();
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Graph graph = getInputData().getGraph();
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ArrayList<Node> component = new ArrayList<Node>();
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// Using a queue because we are doing a BFS
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Queue<Integer> queue = new LinkedList<Integer>();
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// Notify observers about the current component.
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notifyStartComponent(nodes.get(cur));
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notifyStartComponent(graph.get(cur));
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// Add original node and loop until the queue is empty.
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queue.add(cur);
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marked[cur] = true;
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while (!queue.isEmpty()) {
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Node node = nodes.get(queue.remove());
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Node node = graph.get(queue.remove());
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component.add(node);
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// Notify observers
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notifyNewNodeInComponent(node);
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for (Integer destId: ugraph.get(node.getId())) {
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Node dest = nodes.get(destId);
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Node dest = graph.get(destId);
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if (!marked[dest.getId()]) {
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queue.add(destId);
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marked[destId] = true;
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@@ -138,7 +137,7 @@ public class WeaklyConnectedComponentsAlgorithm
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Graph graph = getInputData().getGraph();
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ArrayList<HashSet<Integer>> ugraph = createUndirectedGraph();
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boolean[] marked = new boolean[graph.getNodes().size()];
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boolean[] marked = new boolean[graph.size()];
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Arrays.fill(marked, false);
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ArrayList<ArrayList<Node>> components = new ArrayList<ArrayList<Node>>();
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