diff -u -r1.4 -r1.5
--- NearestNeighborClusterDriver.java	19 Oct 2005 12:23:00 -0000	1.4
+++ NearestNeighborClusterDriver.java	14 Jan 2006 00:37:26 -0000	1.5
@@ -12,6 +12,8 @@

 import org.lcsim.geometry.CalorimeterIDDecoder;
 import org.lcsim.recon.cluster.util.*;
 import org.lcsim.util.Driver;

+import org.lcsim.event.Cluster;
+import org.lcsim.util.lcio.LCIOConstants;

 
 /**
  * A simple driver which applies a nearest neighbor clustering algorithm

@@ -25,7 +27,7 @@

 {
    // the minimum number of cells to qualify as a cluster
    private int _minNcells;

-   

+

    // the neighborhood in u to search
    private int _dU;
    // the neighborhood in v to search

@@ -42,7 +44,7 @@

    private boolean _doall;
    // list of collections to cluster
    private String[] _collNames;

-   

+

    /**
     * Creates a new instance of NearestNeighborClusterDriver with a domain of (1,1,1)
     * and no threshold.

@@ -52,7 +54,7 @@

    {
       this(1, 1, 1, ncells, 0);
    }

-   

+

    /**
     * Creates a new instance of NearestNeighborClusterDriver
     * @param dU  The extent in the U coordinate which defines a neighborhood.

@@ -74,7 +76,7 @@

       _doall = true;
       _clusterer = new NearestNeighborClusterer(_dU,_dV,_dLayer,_minNcells,_thresh);
    }

-   

+

    /**
     * Creates a new NearestNeighborClusterDriver with no energy threshold applied.
     * @param dU  The extent in the U coordinate which defines a neighborhood.

@@ -82,12 +84,12 @@

     * @param dLayer  The extent in the layer which defines a neighborhood.
     * @param ncells The minimum number of cells required to constitute a cluster.
     */

-   

+

    public NearestNeighborClusterDriver(int dU, int dV, int dLayer, int ncells)
    {
        this(dU, dV, dLayer, ncells, 0);
    }

-   

+

    /**
     * Process an event. Extract calorimeter cells from collections contained in the
     * event, cluster the cells using a nearest-neighbor algorithm, and add these

@@ -98,7 +100,7 @@

    protected void process(EventHeader event)
    {
       //First look for clusters in individual collections

-      

+

       List<List<CalorimeterHit>> collections = event.get(CalorimeterHit.class);
       for (List<CalorimeterHit> collection: collections)
       {

@@ -123,9 +125,11 @@

          {
             CalorimeterIDDecoder decoder = (CalorimeterIDDecoder) event.getMetaData(collection).getIDDecoder();
             List<BasicCluster> clusters = _clusterer.findClusters(collection,decoder);

-         
-            if (clusters.size() > 0)
-                event.put(name+_nameExt,clusters);

+
+            if (clusters.size() > 0) {
+		int flag = 1 << LCIOConstants.CLBIT_HITS;
+                event.put(name+_nameExt,clusters,Cluster.class,(1<<31));
+	    }

          }
       }
    }

@@ -150,10 +154,10 @@

        _collNames = names;
        _doall = false;
    }

-   

+

    public String toString()
    {
       return "NearestNeighborClusterDriver with clusterer "+_clusterer;
    }

-   

+

 }