/* * TeamOperatorParser.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.operators; import dr.inference.operators.MCMCOperator; import dr.inference.operators.TeamOperator; import dr.xml.*; /** * */ public class TeamOperatorParser extends AbstractXMLObjectParser { public static final String TEAM_OPERATOR = "teamOperator"; public static final String SUBSET_SIZE = "size"; // public static final String TARGET_ACCEPTANCE = "targetAcceptance"; public String getParserName() { return TEAM_OPERATOR; } public Object parseXMLObject(XMLObject xo) throws XMLParseException { final double weight = xo.getDoubleAttribute(MCMCOperator.WEIGHT); final int size = xo.getIntegerAttribute(SUBSET_SIZE); //final double targetProb = xo.getAttribute(TARGET_ACCEPTANCE, 0.2); // if (targetProb <= 0.0 || targetProb >= 1.0) // throw new RuntimeException("Target acceptance probability must be between 0.0 and 1.0"); MCMCOperator[] o = new MCMCOperator[xo.getChildCount()]; for (int i = 0; i < o.length; i++) { o[i] = (MCMCOperator) xo.getChild(i); } return new TeamOperator(o, size, weight); } //************************************************************************ // AbstractXMLObjectParser implementation //************************************************************************ public String getParserDescription() { return "An arbitrary list of operators; A random subset of size N is aggregated in one operation." + " Operators may have unequal weights - in that case a subset probability of selection is proportional to " + "the sum of it's members weights."; } public Class getReturnType() { return TeamOperator.class; } public XMLSyntaxRule[] getSyntaxRules() { return rules; } private final XMLSyntaxRule[] rules = { new ElementRule(MCMCOperator.class, 1, Integer.MAX_VALUE), AttributeRule.newDoubleRule(MCMCOperator.WEIGHT), AttributeRule.newIntegerRule(SUBSET_SIZE) //AttributeRule.newDoubleRule(TARGET_ACCEPTANCE, true) }; }