/* * RmiHist1DData.java * * Created on October 26, 2003, 9:15 PM */ package hep.aida.ref.remote.rmi.data; import hep.aida.IAnalysisFactory; import hep.aida.ICloud1D; import hep.aida.ITree; import hep.aida.ref.remote.RemoteCloud1D; import hep.aida.ref.remote.rmi.converters.RmiCloud1DConverter; import java.io.Serializable; /** * This class contains data for IHistogram1D * * @author serbo */ public class RmiCloud1DData implements Serializable { static final long serialVersionUID = 3521807348319671978L; private RmiHist1DData hist = null; private boolean isConverted = false; private int maxEntries = 0; private int entries = 0; private int nanEntries = 0; private double sumOfWeights = 0; private double lowerEdge = Double.NaN; private double upperEdge = Double.NaN; private double equivalentBinEntries; private double mean = Double.NaN; private double rms = Double.NaN; private double[] values = null; private double[] weights = null; /** Creates a new instance of RmiHist1DData */ public RmiCloud1DData() { } // Setters and getters for the global information public void setEquivalentBinEntries(double d) { this.equivalentBinEntries = d; } public double getEquivalentBinEntries() { return equivalentBinEntries; } public void setHist(RmiHist1DData hist) { this.hist = hist; } public RmiHist1DData getHist() { return hist; } public void setConverted(boolean b) { this.isConverted = b; } public void setMaxEntries(int i) { this.maxEntries = i; } public void setEntries(int i) { this.entries = i; } public void setNanEntries(int i) { this.nanEntries = i; } public void setSumOfWeights(double d) { this.sumOfWeights = d; } public void setLowerEdge(double d) { this.lowerEdge = d; } public void setUpperEdge(double d) { this.upperEdge = d; } public void setMean(double d) { this.mean = d; } public void setRms(double d) { this.rms = d; } public boolean getConverted() { return isConverted; } public int getMaxEntries() { return maxEntries; } public int getEntries() { return entries; } public int getNanEntries() { return nanEntries; } public double getSumOfWeights() { return sumOfWeights; } public double getLowerEdge() { return lowerEdge; } public double getUpperEdge() { return upperEdge; } public double getMean() { return mean; } public double getRms() { return rms; } // Setters and getters for the bin information public void setValues(double[] values) { this.values = values; } public void setWeights(double[] weights) { this.weights = weights; } public double[] getValues() { return values; } public double[] getWeights() { return weights; } public static void main(String[] args) throws Exception { IAnalysisFactory af = IAnalysisFactory.create(); ITree tree = af.createTreeFactory().create(); ICloud1D c1 = af.createHistogramFactory(tree).createCloud1D("Cloud-1D"); java.util.Random rand = new java.util.Random(); for (int i=0; i<1000; i++) c1.fill(rand.nextGaussian()); RmiCloud1DConverter converter = RmiCloud1DConverter.getInstance(); RmiCloud1DData data = (RmiCloud1DData) converter.extractData(c1); RemoteCloud1D rc1 = (RemoteCloud1D) converter.createAidaObject("Cloud-1D"); converter.updateAidaObject(rc1, data); System.out.println("Entries="+rc1.entries()); } }