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moved Kosaraju for SCC computation to "graph"
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  • fr.lip6.move.gal.structural/src/fr/lip6/move/gal/graph

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package fr.lip6.move.gal.graph;
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import java.util.ArrayList;
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import java.util.HashSet;
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import java.util.List;
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import java.util.Set;
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import java.util.Stack;
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import android.util.SparseIntArray;
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import fr.lip6.move.gal.util.IntMatrixCol;
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public class Kosaraju {
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public static List<List<Integer>> searchForSCC(IntMatrixCol graph) {
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// This part implements Kosaraju to find SCC
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// not the best time complexity algo for that, but enough for us.
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Stack<Integer> stack = new Stack<>();
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Set<Integer> visited = new HashSet<>();
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// derecursed version uses a todo stack
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Stack<Integer> todo = new Stack<>();
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for (int p = 0; p < graph.getColumnCount(); p++) {
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todo.add(p);
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}
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while (!todo.isEmpty()) {
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int p = todo.pop();
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if (p == -1) {
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stack.push(todo.pop());
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continue;
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}
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SparseIntArray col = graph.getColumn(p);
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if (col.size() > 0) {
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if (!visited.add(p)) {
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continue;
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}
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todo.push(p);
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todo.push(-1);
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for (int i = 0; i < col.size(); i++) {
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todo.push(col.keyAt(i));
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}
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}
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}
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List<List<Integer>> sccs = new ArrayList<>();
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List<Integer> curScc = new ArrayList<>();
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visited.clear();
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graph = graph.transpose();
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while (!stack.isEmpty()) {
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int cur = stack.pop();
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visitNode(graph, curScc, cur, visited);
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if (!curScc.isEmpty()) {
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sccs.add(curScc);
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curScc = new ArrayList<>();
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}
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}
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return sccs;
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}
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private static void visitNode(IntMatrixCol graph, List<Integer> curScc, int cur, Set<Integer> visited) {
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if (visited.add(cur)) {
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curScc.add(cur);
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SparseIntArray col = graph.getColumn(cur);
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for (int i = 0; i < col.size(); i++) {
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visitNode(graph, curScc, col.keyAt(i), visited);
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}
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}
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}
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}

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