/**
 * IFBayesNet.java
 * @author Fabio G. Cozman 
 * Copyright 1996 - 1999, Fabio G. Cozman,
 *          Carnergie Mellon University, Universidade de Sao Paulo
 * fgcozman@usp.br, http://www.cs.cmu.edu/~fgcozman/home.html
 *
 * The JavaBayes distribution is free software; you can
 * redistribute it and/or modify it under the terms of the GNU General
 * Public License as published by the Free Software Foundation (either
 * version 2 of the License or, at your option, any later version), 
 * provided that this notice and the name of the author appear in all 
 * copies. Upon request to the author, some of the packages in the 
 * JavaBayes distribution can be licensed under the GNU Lesser General
 * Public License as published by the Free Software Foundation (either
 * version 2 of the License, or (at your option) any later version).
 * If you're using the software, please notify fgcozman@usp.br so
 * that you can receive updates and patches. JavaBayes is distributed
 * "as is", 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 General Public License for more details.
 * You should have received a copy of the GNU General Public License
 * along with the JavaBayes distribution. If not, write to the Free
 * Software Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
 */

package InterchangeFormat;

import java.util.Vector;
import java.util.Enumeration;

/**
 * Auxiliar class that stores the temporary information  
 * about a BayesNet, before it is possible to            
 * actually create a BayesNet object                     
 */

public class IFBayesNet {
    String name;
    Vector properties;
    Vector pvs;
    Vector upfs;

    public String get_name() { return(name); }
    public Vector get_properties() { return(properties); }
    public Vector get_pvs() { return(pvs); }
    public Vector get_upfs() { return(upfs); }

  /**
   * Basic constructor.
   */
  public IFBayesNet(String n, Vector p) {
    name = n;
    properties = p;
    pvs = new Vector();
    upfs = new Vector();
  }

  /**
   * Method that adds a ProbabilityVariable object to the 
   * vector of variables.
   */
  public void add(IFProbabilityVariable pv) {
    pvs.addElement(pv);
  }

  /**
   * Method that adds a 
   * IFProbabilityFunction object to the vector of functions.
   */
  public void add(IFProbabilityFunction upf) {
    upfs.addElement(upf);
  }

  /**
   * Method that inverts the tables in the ProbabilityFunction
   * objects; necessary for formats that put the GIVEN        
   * variables as the lowest running indexes in the tables.   
   */
  public void invert_probability_tables() {
    for (Enumeration e = upfs.elements(); e.hasMoreElements(); ) 
        ((IFProbabilityFunction)(e.nextElement())).invert_tables(this);
  }
}