/*
* TipStatesModel.java
*
* Copyright (c) 2002-2016 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.evomodel.tipstatesmodel;
import dr.evolution.alignment.PatternList;
import dr.evolution.tree.Tree;
import dr.evolution.util.TaxonList;
import dr.inference.model.AbstractModel;
import dr.inference.model.Model;
import dr.inference.model.Parameter;
import dr.inference.model.Variable;
import java.util.HashMap;
import java.util.Map;
/**
* @author Andrew Rambaut
* @author Alexei Drummond
* @version $Id$
*/
public abstract class TipStatesModel extends AbstractModel {
// an enum which specifies if the model emits tip states or partials
public enum Type {
PARTIALS,
STATES
};
/**
* @param name Model Name
*/
public TipStatesModel(String name, TaxonList includeTaxa, TaxonList excludeTaxa) {
super(name);
this.includeTaxa = includeTaxa;
this.excludeTaxa = excludeTaxa;
}
public final void setTree(Tree tree) {
this.tree = tree;
int extNodeCount = tree.getExternalNodeCount();
excluded = new boolean[extNodeCount];
if (includeTaxa != null) {
for (int i = 0; i < extNodeCount; i++) {
if (includeTaxa.getTaxonIndex(tree.getNodeTaxon(tree.getExternalNode(i))) == -1) {
excluded[i] = true;
}
}
}
if (excludeTaxa != null) {
for (int i = 0; i < extNodeCount; i++) {
if (excludeTaxa.getTaxonIndex(tree.getNodeTaxon(tree.getExternalNode(i))) != -1) {
excluded[i] = true;
}
}
}
states = new int[extNodeCount][];
taxaChanged();
}
protected abstract void taxaChanged();
public final void setStates(PatternList patternList, int sequenceIndex, int nodeIndex, String taxonId) {
if (this.patternList == null) {
this.patternList = patternList;
patternCount = patternList.getPatternCount();
stateCount = patternList.getDataType().getStateCount();
} else if (patternList != this.patternList) {
throw new RuntimeException("The TipStatesModel with id, " + getId() + ", has already been associated with a patternList.");
}
if (this.states[nodeIndex] == null) {
this.states[nodeIndex] = new int[patternCount];
}
for (int i = 0; i < patternCount; i++) {
this.states[nodeIndex][i] = patternList.getPatternState(sequenceIndex, i);
}
taxonMap.put(nodeIndex, taxonId);
}
protected void handleModelChangedEvent(Model model, Object object, int index) {
fireModelChanged();
}
/**
* This method is called whenever a parameter is changed.
* <p/>
* It is strongly recommended that the model component sets a "dirty" flag and does no
* further calculations. Recalculation is typically done when the model component is asked for
* some information that requires them. This mechanism is 'lazy' so that this method
* can be safely called multiple times with minimal computational cost.
*/
protected void handleVariableChangedEvent(Variable variable, int index, Parameter.ChangeType type) {
fireModelChanged();
}
/**
* Additional state information, outside of the sub-model is stored by this call.
*/
protected void storeState() {
}
/**
* After this call the model is guaranteed to have returned its extra state information to
* the values coinciding with the last storeState call.
* Sub-models are handled automatically and do not need to be considered in this method.
*/
protected void restoreState() {
}
/**
* This call specifies that the current state is accept. Most models will not need to do anything.
* Sub-models are handled automatically and do not need to be considered in this method.
*/
protected void acceptState() {
}
public PatternList getPatternList() {
return patternList;
}
public abstract Type getModelType();
public abstract void getTipPartials(int nodeIndex, double[] tipPartials);
public abstract void getTipStates(int nodeIndex, int[] tipStates);
protected int[][] states;
protected boolean[] excluded;
protected int patternCount = 0;
protected int stateCount;
protected TaxonList includeTaxa;
protected TaxonList excludeTaxa;
protected Tree tree;
private PatternList patternList = null;
protected Map<Integer, String> taxonMap = new HashMap<Integer, String>();
}