package dr.inferencexml.operators;
import dr.inference.model.Parameter;
import dr.inference.operators.MCMCOperator;
import dr.inference.operators.UniformOperator;
import dr.xml.*;
/**
*/
public class UniformOperatorParser extends AbstractXMLObjectParser {
public final static String UNIFORM_OPERATOR = "uniformOperator";
public static final String LOWER = "lower";
public static final String UPPER = "upper";
public String getParserName() {
return UNIFORM_OPERATOR;
}
public Object parseXMLObject(XMLObject xo) throws XMLParseException {
double weight = xo.getDoubleAttribute(MCMCOperator.WEIGHT);
Parameter parameter = (Parameter) xo.getChild(Parameter.class);
if( parameter.getDimension() == 0 ) {
throw new XMLParseException("parameter with 0 dimension.");
}
Double lower = null;
Double upper = null;
if (xo.hasAttribute(LOWER)) {
lower = xo.getDoubleAttribute(LOWER);
}
if (xo.hasAttribute(UPPER)) {
upper = xo.getDoubleAttribute(UPPER);
}
return new UniformOperator(parameter, weight, lower, upper);
}
//************************************************************************
// AbstractXMLObjectParser implementation
//************************************************************************
public String getParserDescription() {
return "An operator that picks new parameter values uniformly at random.";
}
public Class getReturnType() {
return UniformOperator.class;
}
public XMLSyntaxRule[] getSyntaxRules() {
return rules;
}
private final XMLSyntaxRule[] rules = {
AttributeRule.newDoubleRule(MCMCOperator.WEIGHT),
AttributeRule.newDoubleRule(LOWER, true),
AttributeRule.newDoubleRule(UPPER, true),
new ElementRule(Parameter.class)
};
}