package dr.inferencexml.model; import dr.inference.model.ProductStatistic; import dr.inference.model.Statistic; import dr.xml.*; /** */ public class ProductStatisticParser extends AbstractXMLObjectParser { public static String PRODUCT_STATISTIC = "productStatistic"; public static String PRODUCT = "product"; public static String ELEMENT_WISE = "elementwise"; public String[] getParserNames() { return new String[]{getParserName(), PRODUCT}; } public String getParserName() { return PRODUCT_STATISTIC; } public Object parseXMLObject(XMLObject xo) throws XMLParseException { boolean elementwise = xo.getAttribute(ELEMENT_WISE, false); ProductStatistic productStatistic = new ProductStatistic(PRODUCT_STATISTIC, elementwise); for (int i = 0; i < xo.getChildCount(); i++) { Object child = xo.getChild(i); if (child instanceof Statistic) { try { productStatistic.addStatistic((Statistic) child); } catch (IllegalArgumentException iae) { throw new XMLParseException("Statistic added to " + getParserName() + " element is not of the same dimension"); } } else { throw new XMLParseException("Unknown element found in " + getParserName() + " element:" + child); } } return productStatistic; } //************************************************************************ // AbstractXMLObjectParser implementation //************************************************************************ public String getParserDescription() { return "This element returns a statistic that is the product of the child statistics."; } public Class getReturnType() { return ProductStatistic.class; } public XMLSyntaxRule[] getSyntaxRules() { return rules; } private final XMLSyntaxRule[] rules = { AttributeRule.newBooleanRule(ELEMENT_WISE, true), new ElementRule(Statistic.class, 1, Integer.MAX_VALUE) }; }