package dr.inferencexml.operators; import dr.xml.*; import dr.inference.operators.MCMCOperator; import dr.inference.operators.RandomWalkIntegerSetSizeWeightedOperator; import dr.inference.model.Parameter; import dr.evomodel.tree.MicrosatelliteSamplerTreeModel; /** * @author Chieh-Hsi Wu * * This is the parser for the random walk integer set size weighted operator. */ public class RandomWalkIntegerSetSizeWeightedOperatorParser extends AbstractXMLObjectParser { public static final String RANDOM_WALK_INT_SET_SIZE_WGT_OP = "randomWalkIntegerSetSizeWeightedOperator"; public static final String WINDOW_SIZE = "windowSize"; public static final String BASE_SET_SIZE = "baseSetSize"; public String getParserName() { return RANDOM_WALK_INT_SET_SIZE_WGT_OP; } public Object parseXMLObject(XMLObject xo) throws XMLParseException { double weight = xo.getDoubleAttribute(MCMCOperator.WEIGHT); double d = xo.getDoubleAttribute(WINDOW_SIZE); if (d != Math.floor(d)) { throw new XMLParseException("The window size of a " + RANDOM_WALK_INT_SET_SIZE_WGT_OP + " should be an integer"); } double baseSetSize = xo.getDoubleAttribute(BASE_SET_SIZE); int windowSize = (int)d; Parameter parameter = (Parameter) xo.getChild(Parameter.class); MicrosatelliteSamplerTreeModel msatSampleTreeModel = (MicrosatelliteSamplerTreeModel)xo.getChild(MicrosatelliteSamplerTreeModel.class); return new RandomWalkIntegerSetSizeWeightedOperator(parameter, windowSize, weight, msatSampleTreeModel, baseSetSize); } public String getParserDescription() { return "This element returns a random walk set size weighted operator on a given parameter."; } public Class getReturnType() { return RandomWalkIntegerSetSizeWeightedOperator.class; } public XMLSyntaxRule[] getSyntaxRules() { return rules; } private XMLSyntaxRule[] rules = new XMLSyntaxRule[]{ AttributeRule.newDoubleRule(WINDOW_SIZE), AttributeRule.newDoubleRule(MCMCOperator.WEIGHT), AttributeRule.newDoubleRule(BASE_SET_SIZE), new ElementRule(Parameter.class), new ElementRule(MicrosatelliteSamplerTreeModel.class) }; }