Commit in lcsim-cal-calib/src/org/lcsim/cal/calib on MAIN
SamplingFractionAnalysisDriver.java+11-81.5 -> 1.6
suppress some output

lcsim-cal-calib/src/org/lcsim/cal/calib
SamplingFractionAnalysisDriver.java 1.5 -> 1.6
diff -u -r1.5 -r1.6
--- SamplingFractionAnalysisDriver.java	27 May 2008 21:38:29 -0000	1.5
+++ SamplingFractionAnalysisDriver.java	6 Jun 2008 15:17:22 -0000	1.6
@@ -3,7 +3,7 @@
  *
  * Created on May 19, 2008, 11:54 AM
  *
- * $Id: SamplingFractionAnalysisDriver.java,v 1.5 2008/05/27 21:38:29 ngraf Exp $
+ * $Id: SamplingFractionAnalysisDriver.java,v 1.6 2008/06/06 15:17:22 ngraf Exp $
  */
 
 package org.lcsim.cal.calib;
@@ -54,6 +54,8 @@
     private ITree _tree;
     
     private boolean _initialized;
+    private boolean _debug = false;
+    
     
     // TODO fix this dependence on EM calorimeter geometry
     boolean skipFirstLayer = false;
@@ -197,16 +199,17 @@
 //            System.out.println("ready to cluster "+hitsToCluster.size()+ " hits");
             String processedHitsName = _cond.getString("ProcessedHitsCollectionName");
             List<CalorimeterHit> hitsToCluster = _collectionmanager.getList(processedHitsName);//event.get(CalorimeterHit.class, processedHitsName);
-            
+
+            if(_debug) System.out.println("clustering "+hitsToCluster.size()+" hits");
             // quick check
-            for(CalorimeterHit hit : hitsToCluster)
-            {
-                System.out.println("hit ");
-                System.out.println(hit.getLCMetaData().getName());
-            }
+//            for(CalorimeterHit hit : hitsToCluster)
+//            {
+//                System.out.println("hit ");
+//                System.out.println(hit.getLCMetaData().getName());
+//            }
             // cluster the hits
             List<Cluster> clusters = _fcc.createClusters(hitsToCluster);
-//            System.out.println("found "+clusters.size()+" clusters");
+            if(_debug) System.out.println("found "+clusters.size()+" clusters");
             aida.histogram1D("number of found clusters", 10, -0.5, 9.5).fill(clusters.size());
             for(Cluster c : clusters)
             {
CVSspam 0.2.8