/* * 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) ), }; }