/*
 * RestrictedPartials.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.continuous;

import dr.evolution.tree.NodeRef;
import dr.evolution.tree.TreeUtils;
import dr.evolution.util.TaxonList;
import dr.evomodel.tree.TreeModel;
import dr.inference.model.AbstractModel;
import dr.inference.model.Model;
import dr.inference.model.Parameter;
import dr.inference.model.Variable;

import java.util.BitSet;
import java.util.Set;

/**
 * Created by msuchard on 6/4/16.
 */
public class RestrictedPartials extends AbstractModel {

    public RestrictedPartials(String name,
                              TreeModel treeModel,
                              TaxonList taxonList, Parameter meanParameter,
                              Parameter priorSampleSize) throws TreeUtils.MissingTaxonException {
        this(name, treeModel, taxonList, meanParameter, priorSampleSize, null, -1);
    }

    public RestrictedPartials(String name,
                              TreeModel treeModel,
                              TaxonList taxonList, Parameter meanParameter,
                              Parameter priorSampleSize,
                              NodeRef node, int index) throws TreeUtils.MissingTaxonException {
        super(name);
        this.treeModel = treeModel;
        this.taxonList = taxonList;
        this.meanParameter = meanParameter;
        this.priorSampleSize = priorSampleSize;
        this.index = index;
        this.node = node;

        this.tips = TreeUtils.getTipsForTaxa(treeModel, taxonList);
        this.tipBitSet = TreeUtils.getTipsBitSetForTaxa(treeModel, taxonList);

        addVariable(meanParameter);
        addVariable(priorSampleSize);
    }

    // Public API

    final double[] getPartials() { return meanParameter.getParameterValues(); }

    final double getPartial(int i) { return meanParameter.getParameterValue(i); }

    final double getPriorSampleSize() { return priorSampleSize.getParameterValue(0); }

    final int getIndex() { return index; }

    final void setIndex(int index) { this.index = index; }

    final NodeRef getNode() { return node; }

    final void setNode(NodeRef node) { this.node = node; }

    // AbstractModel implementation

    @Override
    protected void handleModelChangedEvent(Model model, Object object, int index) {
        throw new RuntimeException("Not yet implemented");
    }

    @Override
    protected void storeState() {

    }

    @Override
    protected void restoreState() {

    }

    @Override
    protected void acceptState() {

    }

    @Override
    protected void handleVariableChangedEvent(Variable variable, int index, Parameter.ChangeType type) {
        fireModelChanged(variable, index);
    }

    final private TreeModel treeModel;
    final private TaxonList taxonList;

    final private Set<Integer> tips;
    final private BitSet tipBitSet;

    final private Parameter meanParameter;
    final private Parameter priorSampleSize;

    private int index;
    private NodeRef node;

    public TaxonList getTaxonList() {
        return taxonList;
    }

    public BitSet getTipBitSet() {
        return tipBitSet;
    }
}