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package CodeJam2008;
import java.util.ArrayDeque;
import java.util.ArrayList;
import java.util.Deque;
import java.util.HashSet;
import java.util.List;
import com.google.common.graph.Graphs;
import com.google.common.graph.MutableValueGraph;
import com.google.common.graph.ValueGraphBuilder;
/*
* Implementaion of Kosaraju's algorithm to find strongly connected components in a Graph
* wiki :https://en.wikipedia.org/wiki/Kosaraju%27s_algorithm
* A strongly connected component of a graph G=(V,E) is Gsc=(Vsc,Esc) such that for each pair of vertices in Gsc (u,v)
* u~v and v~u hat is both u and v are reachable from each other.
* The code uses MutableValueGraph from Google Guava Libraries .
*
* @author: Debapriya Biswas
* */
public class StronglyConnectedComponents {
private static int time = 0;
private Deque<GraphNode> stack = new ArrayDeque<GraphNode>();
private List<HashSet<GraphNode>> components = new ArrayList<HashSet<GraphNode>>();
enum COLOR {
WHITE, GRAY, BLACK
};
// node structure
static class GraphNode {
int d;
int f;
String name;
GraphNode pie = null;
COLOR color;
GraphNode(String name) {
this.name = name;
}
public String toString() {
return name;
}
}
// Implementation of DFS algorithm from CLRS book . The nodes are pushed
// into a stack based on fished time .
private MutableValueGraph<GraphNode, Integer> dfs(MutableValueGraph<GraphNode, Integer> graph) {
for (GraphNode node : graph.nodes())
node.color = COLOR.WHITE;
for (GraphNode node : graph.nodes()) {
if (node.color == COLOR.WHITE)
dfs_visit(graph, node, stack);
}
return graph;
}
private List<HashSet<GraphNode>> dfsOnTranspose(MutableValueGraph<GraphNode, Integer> graph) {
for (GraphNode node : graph.nodes())
node.color = COLOR.WHITE;
while (!stack.isEmpty()) {
GraphNode node = stack.pop();
if (node.color == COLOR.WHITE) {
HashSet<GraphNode> component = new HashSet<GraphNode>();
components.add(dfs_visit_on_transpose(graph, node, component));
}
}
return components;
}
private HashSet<GraphNode> dfs_visit_on_transpose(MutableValueGraph<GraphNode, Integer> graph, GraphNode node,
HashSet<GraphNode> set) {
node.color = COLOR.GRAY;
set.add(node);
node.d = ++time;
for (GraphNode adj : graph.adjacentNodes(node)) {
if (adj.color == COLOR.WHITE && graph.edgeValueOrDefault(node, adj, -1) != null) {
adj.pie = node;
dfs_visit_on_transpose(graph, adj, set);
}
}
node.f = ++time;
node.color = COLOR.BLACK;
stack.push(node);
return set;
}
private void dfs_visit(MutableValueGraph<GraphNode, Integer> graph, GraphNode node, Deque<GraphNode> stack) {
node.color = COLOR.GRAY;
node.d = ++time;
for (GraphNode adj : graph.adjacentNodes(node)) {
if (adj.color == COLOR.WHITE && graph.edgeValueOrDefault(node, adj, -1) != null) {
adj.pie = node;
adj.color = COLOR.GRAY;
dfs_visit(graph, adj, stack);
}
}
node.f = ++time;
node.color = COLOR.BLACK;
stack.push(node);
}
public static void main(String[] args) {
GraphNode A = new GraphNode("A");
GraphNode B = new GraphNode("B");
GraphNode C = new GraphNode("C");
GraphNode D = new GraphNode("D");
GraphNode E = new GraphNode("E");
GraphNode F = new GraphNode("F");
GraphNode G = new GraphNode("G");
GraphNode H = new GraphNode("H");
GraphNode I = new GraphNode("I");
GraphNode J = new GraphNode("J");
GraphNode K = new GraphNode("K");
MutableValueGraph<GraphNode, Integer> graph = ValueGraphBuilder.directed().build();
graph.putEdgeValue(A, B, 1);
graph.putEdgeValue(B, C, 1);
graph.putEdgeValue(C, A, 1);
graph.putEdgeValue(B, D, 1);
graph.putEdgeValue(D, E, 1);
graph.putEdgeValue(E, F, 1);
graph.putEdgeValue(F, D, 1);
graph.putEdgeValue(G, F, 1);
graph.putEdgeValue(G, H, 1);
graph.putEdgeValue(H, I, 1);
graph.putEdgeValue(I, J, 1);
graph.putEdgeValue(J, G, 1);
graph.putEdgeValue(J, K, 1);
// graph.putEdgeValue(G, F, 1);
StronglyConnectedComponents scc = new StronglyConnectedComponents();
// First pass DFS
graph = scc.dfs(graph);
// System.out.println(dfs.stack);
MutableValueGraph<GraphNode, Integer> transposeGraph = Graphs.copyOf(Graphs.transpose(graph));
// Second pass DFS on the transpose graph
System.out.println(scc.dfsOnTranspose(transposeGraph));
}
}
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