/*
* DummyLikelihoodParser.java
*
* Copyright (c) 2002-2015 Alexei Drummond, Andrew Rambaut and Marc Suchard
*
* This file is part of BEAST.
* See the NOTICE file distributed with this work for additional
* information regarding copyright ownership and licensing.
*
* BEAST is free software; you can redistribute it and/or modify
* it under the terms of 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.
*
* BEAST 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 Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with BEAST; if not, write to the
* Free Software Foundation, Inc., 51 Franklin St, Fifth Floor,
* Boston, MA 02110-1301 USA
*/
package dr.inferencexml.model;
import dr.inference.model.DefaultModel;
import dr.inference.model.DummyLikelihood;
import dr.inference.model.Model;
import dr.inference.model.Parameter;
import dr.xml.*;
/**
* Reads a distribution likelihood from a DOM Document element.
*/
public class DummyLikelihoodParser extends AbstractXMLObjectParser {
public static final String DUMMY_LIKELIHOOD = "dummyLikelihood";
public String getParserName() { return DUMMY_LIKELIHOOD; }
public Object parseXMLObject(XMLObject xo) {
Model model = (Model)xo.getChild(Model.class);
Parameter parameter = (Parameter)xo.getChild(Parameter.class);
if (model == null) {
model = new DefaultModel();
}
final DummyLikelihood likelihood = new DummyLikelihood(model);
((DefaultModel)model).addVariable(parameter);
return likelihood;
}
//************************************************************************
// AbstractXMLObjectParser implementation
//************************************************************************
public String getParserDescription() {
return "A function wraps a component model that would otherwise not be registered with the MCMC. Always returns a log likelihood of zero.";
}
public Class getReturnType() { return DummyLikelihood.class; }
public XMLSyntaxRule[] getSyntaxRules() { return rules; }
private final XMLSyntaxRule[] rules = {
new XORRule(
new ElementRule(Model.class, "A model element"),
new ElementRule(Parameter.class, "A parameter")
)
};
}