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)
};
}