/* * 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>(); }