/*
* UniformGeoSpatialOperatorParser.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.geo.operators;
import dr.geo.AbstractPolygon2D;
import dr.geo.GeoSpatialDistribution;
import dr.geo.MultiRegionGeoSpatialDistribution;
import dr.geo.Polygon2D;
import dr.inference.distribution.AbstractDistributionLikelihood;
import dr.inference.distribution.CachedDistributionLikelihood;
import dr.inference.distribution.MultivariateDistributionLikelihood;
import dr.inference.model.Parameter;
import dr.inference.operators.MCMCOperator;
import dr.inference.operators.UniformOperator;
import dr.xml.*;
import java.util.ArrayList;
import java.util.List;
/**
*/
public class UniformGeoSpatialOperatorParser extends AbstractXMLObjectParser {
public final static String UNIFORM_OPERATOR = "uniformGeoSpatialOperator";
public static final String LOWER = "lower";
public static final String UPPER = "upper";
public String getParserName() {
return UNIFORM_OPERATOR;
}
public Object parseXMLObject(XMLObject xo) throws XMLParseException {
double weight = xo.getDoubleAttribute(MCMCOperator.WEIGHT);
Parameter parameter = (Parameter) xo.getChild(Parameter.class);
if( parameter.getDimension() == 0 ) {
throw new XMLParseException("parameter with 0 dimension.");
}
MultivariateDistributionLikelihood likelihood = (MultivariateDistributionLikelihood)
xo.getChild(MultivariateDistributionLikelihood.class);
if (likelihood == null) {
CachedDistributionLikelihood cached = (CachedDistributionLikelihood) xo.getChild(CachedDistributionLikelihood.class);
AbstractDistributionLikelihood ab = cached.getDistributionLikelihood();
if (!(ab instanceof MultivariateDistributionLikelihood)) {
throw new XMLParseException("invalid likelihood type in " + xo.getId());
}
likelihood = (MultivariateDistributionLikelihood) ab;
}
List<AbstractPolygon2D> polygonList = new ArrayList<AbstractPolygon2D>();
if (likelihood.getDistribution() instanceof MultiRegionGeoSpatialDistribution) {
for (GeoSpatialDistribution spatial : ((MultiRegionGeoSpatialDistribution) likelihood.getDistribution()).getRegions()) {
polygonList.add(spatial.getRegion());
}
} else if (likelihood.getDistribution() instanceof GeoSpatialDistribution) {
polygonList.add(
((GeoSpatialDistribution) likelihood.getDistribution()).getRegion()
);
} else {
throw new XMLParseException("Multivariate distribution must be either a GeoSpatialDistribution " +
"or a MultiRegionGeoSpatialDistribution");
}
return new UniformGeoSpatialOperator(parameter, weight, polygonList);
}
//************************************************************************
// AbstractXMLObjectParser implementation
//************************************************************************
public String getParserDescription() {
return "An operator that picks new parameter values uniformly at random.";
}
public Class getReturnType() {
return UniformOperator.class;
}
public XMLSyntaxRule[] getSyntaxRules() {
return rules;
}
private final XMLSyntaxRule[] rules = {
AttributeRule.newDoubleRule(MCMCOperator.WEIGHT),
// AttributeRule.newDoubleRule(LOWER, true),
// AttributeRule.newDoubleRule(UPPER, true),
new ElementRule(Parameter.class),
new XORRule(
new ElementRule(MultivariateDistributionLikelihood.class),
new ElementRule(CachedDistributionLikelihood.class)
),
};
}