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)
};
}