Bug 2273: Removed unbuilt third-party code.
[controller.git] / third-party / net.sf.jung2 / src / main / java / edu / uci / ics / jung / algorithms / cluster / WeakComponentClusterer.java
diff --git a/third-party/net.sf.jung2/src/main/java/edu/uci/ics/jung/algorithms/cluster/WeakComponentClusterer.java b/third-party/net.sf.jung2/src/main/java/edu/uci/ics/jung/algorithms/cluster/WeakComponentClusterer.java
deleted file mode 100644 (file)
index cb79a78..0000000
+++ /dev/null
@@ -1,73 +0,0 @@
-/*
-* Copyright (c) 2003, the JUNG Project and the Regents of the University 
-* of California
-* All rights reserved.
-*
-* This software is open-source under the BSD license; see either
-* "license.txt" or
-* http://jung.sourceforge.net/license.txt for a description.
-*/
-package edu.uci.ics.jung.algorithms.cluster;
-
-import java.util.Collection;
-import java.util.HashSet;
-import java.util.Set;
-
-import org.apache.commons.collections15.Buffer;
-import org.apache.commons.collections15.Transformer;
-import org.apache.commons.collections15.buffer.UnboundedFifoBuffer;
-
-import edu.uci.ics.jung.graph.Graph;
-
-
-
-/**
- * Finds all weak components in a graph as sets of vertex sets.  A weak component is defined as
- * a maximal subgraph in which all pairs of vertices in the subgraph are reachable from one
- * another in the underlying undirected subgraph.
- * <p>This implementation identifies components as sets of vertex sets.  
- * To create the induced graphs from any or all of these vertex sets, 
- * see <code>algorithms.filters.FilterUtils</code>.
- * <p>
- * Running time: O(|V| + |E|) where |V| is the number of vertices and |E| is the number of edges.
- * @author Scott White
- */
-public class WeakComponentClusterer<V,E> implements Transformer<Graph<V,E>, Set<Set<V>>> 
-{
-       /**
-     * Extracts the weak components from a graph.
-     * @param graph the graph whose weak components are to be extracted
-     * @return the list of weak components
-     */
-    public Set<Set<V>> transform(Graph<V,E> graph) {
-
-        Set<Set<V>> clusterSet = new HashSet<Set<V>>();
-
-        HashSet<V> unvisitedVertices = new HashSet<V>(graph.getVertices());
-
-        while (!unvisitedVertices.isEmpty()) {
-               Set<V> cluster = new HashSet<V>();
-            V root = unvisitedVertices.iterator().next();
-            unvisitedVertices.remove(root);
-            cluster.add(root);
-
-            Buffer<V> queue = new UnboundedFifoBuffer<V>();
-            queue.add(root);
-
-            while (!queue.isEmpty()) {
-                V currentVertex = queue.remove();
-                Collection<V> neighbors = graph.getNeighbors(currentVertex);
-
-                for(V neighbor : neighbors) {
-                    if (unvisitedVertices.contains(neighbor)) {
-                        queue.add(neighbor);
-                        unvisitedVertices.remove(neighbor);
-                        cluster.add(neighbor);
-                    }
-                }
-            }
-            clusterSet.add(cluster);
-        }
-        return clusterSet;
-    }
-}