/*
* VariableDemographicModelParser.java
*
* Copyright (c) 2002-2015 Alexei Drummond, Andrew Rambaut and Marc Suchard
*
* This file is part of BEAST.
* See the NOTICE file distributed with this work for additional
* information regarding copyright ownership and licensing.
*
* BEAST is free software; you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as
* published by the Free Software Foundation; either version 2
* of the License, or (at your option) any later version.
*
* BEAST is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with BEAST; if not, write to the
* Free Software Foundation, Inc., 51 Franklin St, Fifth Floor,
* Boston, MA 02110-1301 USA
*/
package dr.evomodelxml.coalescent;
import dr.evomodel.coalescent.VariableDemographicModel;
import dr.evomodel.tree.TreeModel;
import dr.evomodelxml.speciation.SpeciesBindingsParser;
import dr.inference.model.Parameter;
import dr.xml.*;
import java.util.logging.Logger;
/**
*/
public class VariableDemographicModelParser extends AbstractXMLObjectParser {
public static final String MODEL_NAME = "variableDemographic";
public static final String POPULATION_SIZES = "populationSizes";
public static final String INDICATOR_PARAMETER = "indicators";
public static final String POPULATION_TREES = "trees";
private static final String PLOIDY = SpeciesBindingsParser.PLOIDY;
public static final String POP_TREE = "ptree";
public static final String LOG_SPACE = "logUnits";
public static final String USE_MIDPOINTS = "useMidpoints";
public static final String TYPE = "type";
//public static final String STEPWISE = "stepwise";
//public static final String LINEAR = "linear";
//public static final String EXPONENTIAL = "exponential";
public static final String demoElementName = "demographic";
public String getParserName() {
return MODEL_NAME;
}
public Object parseXMLObject(XMLObject xo) throws XMLParseException {
XMLObject cxo = xo.getChild(POPULATION_SIZES);
Parameter popParam = (Parameter) cxo.getChild(Parameter.class);
cxo = xo.getChild(INDICATOR_PARAMETER);
Parameter indicatorParam = (Parameter) cxo.getChild(Parameter.class);
cxo = xo.getChild(POPULATION_TREES);
final int nc = cxo.getChildCount();
TreeModel[] treeModels = new TreeModel[nc];
double[] populationFactor = new double[nc];
for (int k = 0; k < treeModels.length; ++k) {
final XMLObject child = (XMLObject) cxo.getChild(k);
populationFactor[k] = child.hasAttribute(PLOIDY) ? child.getDoubleAttribute(PLOIDY) : 1.0;
treeModels[k] = (TreeModel) child.getChild(TreeModel.class);
}
VariableDemographicModel.Type type = VariableDemographicModel.Type.STEPWISE;
if (xo.hasAttribute(TYPE)) {
final String s = xo.getStringAttribute(TYPE);
if (s.equalsIgnoreCase(VariableDemographicModel.Type.STEPWISE.toString())) {
type = VariableDemographicModel.Type.STEPWISE;
} else if (s.equalsIgnoreCase(VariableDemographicModel.Type.LINEAR.toString())) {
type = VariableDemographicModel.Type.LINEAR;
} else if (s.equalsIgnoreCase(VariableDemographicModel.Type.EXPONENTIAL.toString())) {
type = VariableDemographicModel.Type.EXPONENTIAL;
} else {
throw new XMLParseException("Unknown Bayesian Skyline type: " + s);
}
}
final boolean logSpace = xo.getAttribute(LOG_SPACE, false) || type == VariableDemographicModel.Type.EXPONENTIAL;
final boolean useMid = xo.getAttribute(USE_MIDPOINTS, false);
Logger.getLogger("dr.evomodel").info("Variable demographic: " + type.toString() + " control points");
return new VariableDemographicModel(treeModels, populationFactor, popParam, indicatorParam, type,
logSpace, useMid);
}
//************************************************************************
// AbstractXMLObjectParser implementation
//************************************************************************
public String getParserDescription() {
return "This element represents the likelihood of the tree given the population size vector.";
}
public Class getReturnType() {
return VariableDemographicModel.class;
}
public XMLSyntaxRule[] getSyntaxRules() {
return rules;
}
private final XMLSyntaxRule[] rules = {
AttributeRule.newStringRule(TYPE, true),
AttributeRule.newBooleanRule(LOG_SPACE, true),
AttributeRule.newBooleanRule(USE_MIDPOINTS, true),
new ElementRule(POPULATION_SIZES, new XMLSyntaxRule[]{
new ElementRule(Parameter.class)
}),
new ElementRule(INDICATOR_PARAMETER, new XMLSyntaxRule[]{
new ElementRule(Parameter.class)
}),
new ElementRule(POPULATION_TREES, new XMLSyntaxRule[]{
new ElementRule(POP_TREE, new XMLSyntaxRule[]{
AttributeRule.newDoubleRule(PLOIDY, true),
new ElementRule(TreeModel.class),
}, 1, Integer.MAX_VALUE)
})
};
}