package dr.evomodelxml.operators;
import dr.evomodel.operators.ImportancePruneAndRegraft;
import dr.evomodel.tree.TreeModel;
import dr.inference.operators.MCMCOperator;
import dr.xml.*;
/**
*/
public class ImportancePruneAndRegraftParser extends AbstractXMLObjectParser {
public static final String IMPORTANCE_PRUNE_AND_REGRAFT = "ImportancePruneAndRegraft";
public String getParserName() {
return IMPORTANCE_PRUNE_AND_REGRAFT;
}
public Object parseXMLObject(XMLObject xo) throws XMLParseException {
TreeModel treeModel = (TreeModel) xo.getChild(TreeModel.class);
double weight = xo.getDoubleAttribute(MCMCOperator.WEIGHT);
int samples = xo.getIntegerAttribute("samples");
return new ImportancePruneAndRegraft(treeModel, weight, samples);
}
// ************************************************************************
// AbstractXMLObjectParser implementation
// ************************************************************************
public String getParserDescription() {
return "This element represents a importance guided prune and regraft operator. "
+ "This operator prunes a random subtree and regrafts it below a node chosen by an importance distribution.";
}
public Class getReturnType() {
return ImportancePruneAndRegraft.class;
}
public XMLSyntaxRule[] getSyntaxRules() {
return rules;
}
private final XMLSyntaxRule[] rules = {
AttributeRule.newDoubleRule(MCMCOperator.WEIGHT),
AttributeRule.newIntegerRule("samples"),
new ElementRule(TreeModel.class)
};
}