WALA/com.ibm.wala.util/src/com/ibm/wala/util/graph/Acyclic.java

123 lines
4.1 KiB
Java

/*******************************************************************************
* Copyright (c) 2007 IBM Corporation.
* All rights reserved. This program and the accompanying materials
* are made available under the terms of the Eclipse Public License v1.0
* which accompanies this distribution, and is available at
* http://www.eclipse.org/legal/epl-v10.html
*
* Contributors:
* IBM Corporation - initial API and implementation
*******************************************************************************/
package com.ibm.wala.util.graph;
import java.util.Collection;
import java.util.Iterator;
import java.util.Set;
import com.ibm.wala.util.collections.HashSetFactory;
import com.ibm.wala.util.intset.BasicNaturalRelation;
import com.ibm.wala.util.intset.IBinaryNaturalRelation;
import com.ibm.wala.util.intset.IntIterator;
import com.ibm.wala.util.intset.IntPair;
/**
* Utilities for dealing with acyclic subgraphs
*/
public class Acyclic {
/*
* prevent instantiation
*/
private Acyclic() {
}
/**
* This is slow. Fix it.
*/
public static <T> boolean isAcyclic(NumberedGraph<T> G, T root) {
IBinaryNaturalRelation r = computeBackEdges(G, root);
Iterator<IntPair> it = r.iterator();
return !it.hasNext();
}
/**
* Compute a relation R s.t. (i,j) \in R iff (i,j) is a backedge according to a DFS of a numbered graph starting from some root.
*
* Not efficient. Recursive and uses hash sets.
*/
public static <T> IBinaryNaturalRelation computeBackEdges(NumberedGraph<T> G, T root) {
if (G == null) {
throw new IllegalArgumentException("G is null");
}
BasicNaturalRelation result = new BasicNaturalRelation();
Set<T> visited = HashSetFactory.make();
Set<T> onstack = HashSetFactory.make();
dfs(result, root, G, visited, onstack);
return result;
}
private static <T> void dfs(BasicNaturalRelation result, T root, NumberedGraph<T> G, Set<T> visited, Set<T> onstack) {
visited.add(root);
onstack.add(root);
for (Iterator<? extends T> it = G.getSuccNodes(root); it.hasNext();) {
T dstNode = it.next();
if (onstack.contains(dstNode)) {
int src = G.getNumber(root);
int dst = G.getNumber(dstNode);
result.add(src, dst);
}
if (!visited.contains(dstNode)) {
dfs(result, dstNode, G, visited, onstack);
}
}
onstack.remove(root);
}
public static <T> boolean hasIncomingBackEdges(Path p, NumberedGraph<T> G, T root) {
/*
* TODO: pull out computeBackEdges, and pass in the backedge relation as a parameter to this call
*/
IBinaryNaturalRelation backedges = computeBackEdges(G, root);
for (int index = 0; index < p.size(); index++) {
int gn = p.get(index);
Iterator<? extends T> predIter = G.getPredNodes(G.getNode(gn));
while (predIter.hasNext()) {
if (backedges.contains(G.getNumber(predIter.next()), gn))
return true;
}
}
return false;
}
/**
* Compute a set of acyclic paths through a graph G from a node src to a node sink.
*
* This is not terribly efficient.
*
* @param max the max number of paths to return.
*/
public static <T> Collection<Path> computeAcyclicPaths(NumberedGraph<T> G, T root, T src, T sink, int max) {
Collection<Path> result = HashSetFactory.make();
EdgeFilteredNumberedGraph<T> acyclic = new EdgeFilteredNumberedGraph<T>(G, computeBackEdges(G, root));
Collection<Path> worklist = HashSetFactory.make();
Path sinkPath = Path.make(G.getNumber(sink));
worklist.add(sinkPath);
while (!worklist.isEmpty() && result.size() <= max) {
Path p = worklist.iterator().next();
worklist.remove(p);
int first = p.get(0);
if (first == G.getNumber(src)) {
result.add(p);
} else {
for (IntIterator it = acyclic.getPredNodeNumbers(acyclic.getNode(first)).intIterator(); it.hasNext();) {
worklist.add(Path.prepend(it.next(), p));
}
}
}
return result;
}
}