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The Waikato Environment for Knowledge Analysis (WEKA), a machine learning workbench. This is the stable version. Apart from bugfixes, this version does not receive any other updates.

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/*
 *    This program 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.
 *
 *    This program is distributed 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 this program; if not, write to the Free Software
 *    Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
 */

/*
 *    IndividualLiteral.java
 *    Copyright (C) 2003 Peter A. Flach, Nicolas Lachiche
 *
 *    Thanks to Amelie Deltour for porting the original C code to Java
 *    and integrating it into Weka.
 *
 */

package weka.associations.tertius;

import weka.core.RevisionUtils;

/**
 * @author Peter A. Flach
 * @author Nicolas Lachiche
 * @version $Revision: 1.5 $
 */
public class IndividualLiteral extends AttributeValueLiteral {

  /** for serialization */
  private static final long serialVersionUID = 4712404824517887435L;
  
  private int m_type;
  public static int INDIVIDUAL_PROPERTY = 0;
  public static int PART_PROPERTY = 1;
  
  public IndividualLiteral(Predicate predicate, String value, int index,
			   int sign, int missing, int type) {

    super(predicate, value, index, sign, missing);
    m_type = type;
  }
  
  public int getType() {

    return m_type;
  }
  
  /**
   * Returns the revision string.
   * 
   * @return		the revision
   */
  public String getRevision() {
    return RevisionUtils.extract("$Revision: 1.5 $");
  }
}