package dr.evomodelxml.operators; import dr.evomodel.operators.FunkyPriorMixerOperator; import dr.evomodel.tree.TreeModel; import dr.inference.model.Parameter; import dr.inference.operators.CoercableMCMCOperator; import dr.inference.operators.CoercionMode; import dr.inference.operators.MCMCOperator; import dr.inference.operators.RandomWalkOperator; import dr.xml.*; /** * @author Marc A. Suchard * @author John J. Welch */ public class FunkyPriorMixerOperatorParser extends AbstractXMLObjectParser { public static final String FUNKY_OPERATOR = "funkyPriorMixerOperator"; public static final String WINDOW_SIZE = "windowSize"; public static final String UPPER = "upper"; public static final String LOWER = "lower"; public static final String BOUNDARY_CONDITION = "boundaryCondition"; public String getParserName() { return FUNKY_OPERATOR; } public Object parseXMLObject(XMLObject xo) throws XMLParseException { CoercionMode mode = CoercionMode.parseMode(xo); double weight = xo.getDoubleAttribute(MCMCOperator.WEIGHT); double windowSize = xo.getDoubleAttribute(WINDOW_SIZE); Parameter parameter = (Parameter) xo.getChild(Parameter.class); TreeModel treeModel = (TreeModel) xo.getChild(TreeModel.class); RandomWalkOperator.BoundaryCondition condition = RandomWalkOperator.BoundaryCondition.valueOf( xo.getAttribute(BOUNDARY_CONDITION, RandomWalkOperator.BoundaryCondition.reflecting.name())); return new FunkyPriorMixerOperator(treeModel, parameter, windowSize, condition, weight, mode); } //************************************************************************ // AbstractXMLObjectParser implementation //************************************************************************ public String getParserDescription() { return "This element returns a random walk operator on a given parameter."; } public Class getReturnType() { return MCMCOperator.class; } public XMLSyntaxRule[] getSyntaxRules() { return rules; } private final XMLSyntaxRule[] rules = { AttributeRule.newDoubleRule(WINDOW_SIZE), AttributeRule.newDoubleRule(MCMCOperator.WEIGHT), AttributeRule.newBooleanRule(CoercableMCMCOperator.AUTO_OPTIMIZE, true), new StringAttributeRule(BOUNDARY_CONDITION, null, RandomWalkOperator.BoundaryCondition.values(), true), new ElementRule(Parameter.class), new ElementRule(TreeModel.class) }; }