/*
* AbstractPartitionData.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.app.beauti.options;
import dr.evolution.alignment.Patterns;
import dr.evolution.datatype.DataType;
import dr.evolution.distance.DistanceMatrix;
import dr.evolution.distance.JukesCantorDistanceMatrix;
import dr.evolution.util.TaxonList;
import java.io.Serializable;
import java.util.List;
/**
* @author Alexei Drummond
* @author Andrew Rambaut
* @author Walter Xie
*/
public abstract class AbstractPartitionData implements Serializable {
protected String fileName;
protected String name;
protected List<TraitData> traits;
protected BeautiOptions options;
protected PartitionSubstitutionModel model;
protected PartitionClockModel clockModel;
protected PartitionTreeModel treeModel;
protected double meanDistance;
protected DistanceMatrix distances;
public AbstractPartitionData(BeautiOptions options, String name, String fileName) {
this.options = options;
this.name = name;
this.fileName = fileName;
}
protected void calculateMeanDistance(Patterns patterns) {
if (patterns != null) {
distances = new JukesCantorDistanceMatrix(patterns);
meanDistance = distances.getMeanDistance();
} else {
distances = null;
meanDistance = 1.0;
}
}
public String getFileName() {
return fileName;
}
public String getName() {
return name;
}
public void setName(String name) {
this.name = name;
}
public String toString() {
return getName();
}
public List<TraitData> getTraits() {
return traits;
}
public double getMeanDistance() {
return meanDistance;
}
public DistanceMatrix getDistances() {
return distances;
}
public void setPartitionSubstitutionModel(PartitionSubstitutionModel model) {
options.clearDataPartitionCaches();
this.model = model;
}
public PartitionSubstitutionModel getPartitionSubstitutionModel() {
return this.model;
}
public void setPartitionClockModel(PartitionClockModel clockModel) {
options.clearDataPartitionCaches();
this.clockModel = clockModel;
}
public PartitionClockModel getPartitionClockModel() {
return clockModel;
}
public PartitionTreeModel getPartitionTreeModel() {
return treeModel;
}
public void setPartitionTreeModel(PartitionTreeModel treeModel) {
options.clearDataPartitionCaches();
this.treeModel = treeModel;
}
public int getTaxonCount() {
return getPartitionTreeModel().getTaxonCount();
// if (getTaxonList() != null) {
// return getTaxonList().getTaxonCount();
// } else {
// return getPartitionTreeModel().getTaxonCount();
// }
}
public boolean isCreatedFromTrait() {
return traits != null;
}
public abstract String getPrefix(); // be careful of microsatellite PartitionPattern
public abstract TaxonList getTaxonList();
public abstract int getSiteCount();
public abstract DataType getDataType();
public abstract String getDataDescription();
}