package dr.inferencexml.model; import dr.inference.model.Statistic; import dr.inference.model.SumStatistic; import dr.xml.*; /** */ public class SumStatisticParser extends AbstractXMLObjectParser { public static String SUM_STATISTIC = "sumStatistic"; public static String SUM = "sum"; public static String ELEMENTWISE = "elementwise"; public String[] getParserNames() { return new String[]{getParserName(), SUM}; } public String getParserName() { return SUM_STATISTIC; } public Object parseXMLObject(XMLObject xo) throws XMLParseException { boolean elementwise = xo.getAttribute(ELEMENTWISE, false); String name = SUM_STATISTIC; if (xo.hasAttribute(Statistic.NAME)) { name = xo.getAttribute(Statistic.NAME, xo.getId()); } else if (xo.hasAttribute(XMLParser.ID)) { name = xo.getAttribute(XMLParser.ID, xo.getId()); } final SumStatistic sumStatistic = new SumStatistic(name, elementwise); for (int i = 0; i < xo.getChildCount(); i++) { final Statistic statistic = (Statistic) xo.getChild(i); try { sumStatistic.addStatistic(statistic); } catch (IllegalArgumentException iae) { throw new XMLParseException("Statistic added to " + getParserName() + " element is not of the same dimension"); } } return sumStatistic; } //************************************************************************ // AbstractXMLObjectParser implementation //************************************************************************ public String getParserDescription() { return "This element returns a statistic that is the element-wise sum of the child statistics."; } public Class getReturnType() { return SumStatistic.class; } public XMLSyntaxRule[] getSyntaxRules() { return rules; } private final XMLSyntaxRule[] rules = { AttributeRule.newBooleanRule(ELEMENTWISE, true), AttributeRule.newStringRule(Statistic.NAME, true), new ElementRule(Statistic.class, 1, Integer.MAX_VALUE) }; }