directedacyclicgraphtest.java
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JAVA
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/* ==========================================
* JGraphT : a free Java graph-theory library
* ==========================================
*
* Project Info: http://jgrapht.sourceforge.net/
* Project Creator: Barak Naveh (http://sourceforge.net/users/barak_naveh)
*
* (C) Copyright 2003-2008, by Barak Naveh and Contributors.
*
* This library is free software; you can redistribute it and/or modify it
* under the terms of the GNU Lesser General Public License as published by
* the Free Software Foundation; either version 2.1 of the License, or
* (at your option) any later version.
*
* This library is distributed in the hope that it will be useful, but
* WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
* or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public
* License for more details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with this library; if not, write to the Free Software Foundation,
* Inc.,
* 59 Temple Place, Suite 330, Boston, MA 02111-1307, USA.
*/
/* -------------------
* DirectedAcyclicGraphTest.java
* -------------------
* (C) Copyright 2008-2008, by Peter Giles and Contributors.
*
* Original Author: Peter Giles
* Contributor(s): -
*
* $Id: DirectedAcyclicGraphTest.java 637 2008-09-28 22:23:11Z perfecthash $
*
* Changes
* -------
* 17-Mar-2008 : Initial revision (PG);
*
*/
package org.jgrapht.experimental.dag;
import java.util.*;
import junit.framework.*;
import org.jgrapht.*;
import org.jgrapht.alg.*;
import org.jgrapht.generate.*;
import org.jgrapht.graph.*;
import org.jgrapht.traverse.*;
/**
* Unit tests for the DirectedAcyclicGraph, a dynamic DAG implementation.
*
* @author gilesp@u.washington.edu
*/
public class DirectedAcyclicGraphTest
extends TestCase
{
//~ Instance fields --------------------------------------------------------
private RandomGraphGenerator<Long, DefaultEdge> randomGraphGenerator = null;
private Graph<Long, DefaultEdge> sourceGraph = null;
//~ Methods ----------------------------------------------------------------
@Override protected void setUp()
throws Exception
{
super.setUp();
setUpWithSeed(100, 5000, 2);
}
private void setUpWithSeed(int vertices, int edges, long seed)
{
randomGraphGenerator =
new RepeatableRandomGraphGenerator<Long, DefaultEdge>(
vertices,
edges,
seed);
sourceGraph =
new SimpleDirectedGraph<Long, DefaultEdge>(DefaultEdge.class);
randomGraphGenerator.generateGraph(
sourceGraph,
new LongVertexFactory(),
null);
}
/**
* Tests the cycle detection capabilities of DirectedAcyclicGraph by
* building a parallel SimpleDirectedGraph and using a CycleDetector to
* check for cycles, and comparing the results.
*/
public void testCycleDetectionInRandomGraphBuild()
{
for (int i = 0; i < 50; i++) { // test with 50 random graph
// configurations
setUpWithSeed(20, 200, i);
DirectedAcyclicGraph<Long, DefaultEdge> dag =
new DirectedAcyclicGraph<Long, DefaultEdge>(DefaultEdge.class);
SimpleDirectedGraph<Long, DefaultEdge> compareGraph =
new SimpleDirectedGraph<Long, DefaultEdge>(DefaultEdge.class);
for (Long vertex : sourceGraph.vertexSet()) {
dag.addVertex(vertex);
compareGraph.addVertex(vertex);
}
for (DefaultEdge edge : sourceGraph.edgeSet()) {
Long edgeSource = sourceGraph.getEdgeSource(edge);
Long edgeTarget = sourceGraph.getEdgeTarget(edge);
boolean dagRejectedEdge = false;
try {
dag.addDagEdge(edgeSource, edgeTarget);
} catch (DirectedAcyclicGraph.CycleFoundException e) {
// okay, it did't add that edge
dagRejectedEdge = true;
}
DefaultEdge compareEdge =
compareGraph.addEdge(edgeSource, edgeTarget);
CycleDetector<Long, DefaultEdge> cycleDetector =
new CycleDetector<Long, DefaultEdge>(compareGraph);
boolean cycleDetected = cycleDetector.detectCycles();
assertTrue(dagRejectedEdge == cycleDetected);
if (cycleDetected) {
// remove the edge from the compareGraph so the graphs
// remain in sync
compareGraph.removeEdge(compareEdge);
}
}
// after all this, our graphs must be equal
assertEquals(compareGraph.vertexSet(), dag.vertexSet());
// for some reason comparing vertex sets doesn't work, so doing it
// the hard way:
for (Long sourceVertex : compareGraph.vertexSet()) {
for (
DefaultEdge outgoingEdge
: compareGraph.outgoingEdgesOf(sourceVertex))
{
Long targetVertex =
compareGraph.getEdgeTarget(outgoingEdge);
assertTrue(dag.containsEdge(sourceVertex, targetVertex));
}
}
}
}
/**
* trivial test of topological order using a linear graph
*/
public void testTopoIterationOrderLinearGraph()
{
DirectedAcyclicGraph<Long, DefaultEdge> dag =
new DirectedAcyclicGraph<Long, DefaultEdge>(DefaultEdge.class);
LinearGraphGenerator<Long, DefaultEdge> graphGen =
new LinearGraphGenerator<Long, DefaultEdge>(100);
graphGen.generateGraph(dag, new LongVertexFactory(), null);
Iterator<Long> internalTopoIter = dag.iterator();
TopologicalOrderIterator<Long, DefaultEdge> comparTopoIter =
new TopologicalOrderIterator<Long, DefaultEdge>(dag);
while (comparTopoIter.hasNext()) {
Long compareNext = comparTopoIter.next();
Long myNext = null;
if (internalTopoIter.hasNext()) {
myNext = internalTopoIter.next();
}
assertSame(compareNext, myNext);
assertEquals(comparTopoIter.hasNext(), internalTopoIter.hasNext());
}
}
/**
* more rigorous test of topological iteration order, by assuring that each
* visited vertex adheres to the definition of topological order, that is
* that it doesn't have a path leading to any of its predecessors.
*/
public void testTopoIterationOrderComplexGraph()
{
for (int seed = 0; seed < 20; seed++) {
DirectedAcyclicGraph<Long, DefaultEdge> dag =
new DirectedAcyclicGraph<Long, DefaultEdge>(DefaultEdge.class);
RepeatableRandomGraphGenerator<Long, DefaultEdge> graphGen =
new RepeatableRandomGraphGenerator<Long, DefaultEdge>(
100,
500,
seed);
graphGen.generateGraph(dag, new LongVertexFactory(), null);
ConnectivityInspector<Long, DefaultEdge> connectivityInspector =
new ConnectivityInspector<Long, DefaultEdge>(dag);
Iterator<Long> internalTopoIter = dag.iterator();
List<Long> previousVertices = new ArrayList<Long>();
while (internalTopoIter.hasNext()) {
Long vertex = internalTopoIter.next();
for (Long previousVertex : previousVertices) {
connectivityInspector.pathExists(vertex, previousVertex);
}
previousVertices.add(vertex);
}
}
}
public void testIterationBehaviors()
{
int vertexCount = 100;
DirectedAcyclicGraph<Long, DefaultEdge> dag =
new DirectedAcyclicGraph<Long, DefaultEdge>(DefaultEdge.class);
RepeatableRandomGraphGenerator<Long, DefaultEdge> graphGen =
new RepeatableRandomGraphGenerator<Long, DefaultEdge>(
vertexCount,
500,
2);
graphGen.generateGraph(dag, new LongVertexFactory(), null);
Iterator<Long> dagIter = dag.iterator();
// Scroll through all the elements, then make sure things happen as
// should when an iterator is all used up
for (int i = 0; i < vertexCount; i++) {
assertTrue(dagIter.hasNext());
dagIter.next();
}
assertFalse(dagIter.hasNext());
try {
dagIter.next();
fail();
} catch (NoSuchElementException e) {
// good, we already looked at all of the elements
}
assertFalse(dagIter.hasNext());
dagIter = dag.iterator(); // replace dagIter;
assertNotNull(dagIter.next()); // make sure it works on first element
// even if hasNext() wasn't called
// Test that ConcurrentModificationExceptionS happen as they should when
// the topology is modified during iteration
// remove a random vertex
dag.removeVertex(dag.vertexSet().iterator().next());
// now we expect exceptions since the topological order has been
// modified (albeit trivially)
try {
dagIter.next();
fail(); // fail, no exception was thrown
} catch (ConcurrentModificationException e) {
// good, this is expected
}
try {
dagIter.hasNext();
fail(); // fail, no exception was thrown
} catch (ConcurrentModificationException e) {
// good, this is expected
}
try {
dagIter.remove();
fail(); // fail, no exception was thrown
} catch (ConcurrentModificationException e) {
// good, this is expected
}
// TODO: further iterator tests
}
// Performance tests have underscores in the names so that they
// they are only run explicitly (not automatically as part of
// default JUnit runs).
/**
* A somewhat frivolous test of the performance difference between doing a
* full cycle detection (non-dynamic algorithm) for each edge added versus
* the dynamic algorithm used by DirectedAcyclicGraph.
*/
public void _testPerformanceVersusStaticChecking()
{
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