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///////////////////////////////////////////////////////////////////////////////
// For information as to what this class does, see the Javadoc, below.       //
// Copyright (C) 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006,       //
// 2007, 2008, 2009, 2010, 2014, 2015, 2022 by Peter Spirtes, Richard        //
// Scheines, Joseph Ramsey, and Clark Glymour.                               //
//                                                                           //
// This program is free software; you can redistribute it and/or modify      //
// it under the terms of the GNU General Public License as published by      //
// the Free Software Foundation; either version 2 of the License, or         //
// (at your option) any later version.                                       //
//                                                                           //
// This program 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 General Public License for more details.                              //
//                                                                           //
// You should have received a copy of the GNU General Public License         //
// along with this program; if not, write to the Free Software               //
// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA //
///////////////////////////////////////////////////////////////////////////////

package edu.cmu.tetradapp.model;

import edu.cmu.tetrad.data.Knowledge;
import edu.cmu.tetrad.graph.*;
import edu.cmu.tetrad.search.Fas;
import edu.cmu.tetrad.search.IndependenceTest;
import edu.cmu.tetrad.search.utils.GraphSearchUtils;
import edu.cmu.tetrad.search.utils.MeekRules;
import edu.cmu.tetrad.util.Parameters;
import edu.cmu.tetrad.util.Params;
import edu.cmu.tetrad.util.TetradSerializableUtils;
import edu.cmu.tetradapp.util.IndTestType;

import java.io.Serial;
import java.util.ArrayList;
import java.util.List;

/**
 * Extends AbstractAlgorithmRunner to produce a wrapper for the PC algorithm.
 *
 * @author josephramsey
 * @version $Id: $Id
 */
public class FasRunner extends AbstractAlgorithmRunner
        implements IndTestProducer {
    @Serial
    private static final long serialVersionUID = 23L;

    /**
     * The graph to use as a starting point for the search.
     */
    private Graph externalGraph;

    //============================CONSTRUCTORS============================//

    /**
     * Constructs a wrapper for the given DataWrapper. The DataWrapper must contain a DataSet that is either a DataSet
     * or a DataSet or a DataList containing either a DataSet or a DataSet as its selected model.
     *
     * @param dataWrapper a {@link edu.cmu.tetradapp.model.DataWrapper} object
     * @param params      a {@link edu.cmu.tetrad.util.Parameters} object
     */
    public FasRunner(DataWrapper dataWrapper, Parameters params) {
        super(dataWrapper, params, null);
    }

    /**
     * 

Constructor for FasRunner.

* * @param dataWrapper a {@link edu.cmu.tetradapp.model.DataWrapper} object * @param params a {@link edu.cmu.tetrad.util.Parameters} object * @param knowledgeBoxModel a {@link edu.cmu.tetradapp.model.KnowledgeBoxModel} object */ public FasRunner(DataWrapper dataWrapper, Parameters params, KnowledgeBoxModel knowledgeBoxModel) { super(dataWrapper, params, knowledgeBoxModel); } // Starts PC from the given graph. /** *

Constructor for FasRunner.

* * @param dataWrapper a {@link edu.cmu.tetradapp.model.DataWrapper} object * @param graphWrapper a {@link edu.cmu.tetradapp.model.GraphWrapper} object * @param params a {@link edu.cmu.tetrad.util.Parameters} object */ public FasRunner(DataWrapper dataWrapper, GraphWrapper graphWrapper, Parameters params) { super(dataWrapper, params, null); this.externalGraph = graphWrapper.getGraph(); } /** *

Constructor for FasRunner.

* * @param dataWrapper a {@link edu.cmu.tetradapp.model.DataWrapper} object * @param graphWrapper a {@link edu.cmu.tetradapp.model.GraphWrapper} object * @param params a {@link edu.cmu.tetrad.util.Parameters} object * @param knowledgeBoxModel a {@link edu.cmu.tetradapp.model.KnowledgeBoxModel} object */ public FasRunner(DataWrapper dataWrapper, GraphWrapper graphWrapper, Parameters params, KnowledgeBoxModel knowledgeBoxModel) { super(dataWrapper, params, knowledgeBoxModel); this.externalGraph = graphWrapper.getGraph(); } /** * Constucts a wrapper for the given EdgeListGraph. * * @param graph a {@link edu.cmu.tetrad.graph.Graph} object * @param params a {@link edu.cmu.tetrad.util.Parameters} object */ public FasRunner(Graph graph, Parameters params) { super(graph, params); } /** * Constucts a wrapper for the given EdgeListGraph. * * @param graphWrapper a {@link edu.cmu.tetradapp.model.GraphWrapper} object * @param params a {@link edu.cmu.tetrad.util.Parameters} object */ public FasRunner(GraphWrapper graphWrapper, Parameters params) { super(graphWrapper.getGraph(), params); } /** * Constucts a wrapper for the given EdgeListGraph. * * @param graphWrapper a {@link edu.cmu.tetradapp.model.GraphSource} object * @param params a {@link edu.cmu.tetrad.util.Parameters} object * @param knowledgeBoxModel a {@link edu.cmu.tetradapp.model.KnowledgeBoxModel} object */ public FasRunner(GraphSource graphWrapper, Parameters params, KnowledgeBoxModel knowledgeBoxModel) { super(graphWrapper.getGraph(), params, knowledgeBoxModel); } /** *

Constructor for FasRunner.

* * @param dagWrapper a {@link edu.cmu.tetradapp.model.DagWrapper} object * @param params a {@link edu.cmu.tetrad.util.Parameters} object */ public FasRunner(DagWrapper dagWrapper, Parameters params) { super(dagWrapper.getDag(), params); } /** *

Constructor for FasRunner.

* * @param dagWrapper a {@link edu.cmu.tetradapp.model.SemGraphWrapper} object * @param params a {@link edu.cmu.tetrad.util.Parameters} object */ public FasRunner(SemGraphWrapper dagWrapper, Parameters params) { super(dagWrapper.getGraph(), params); } /** *

Constructor for FasRunner.

* * @param model a {@link edu.cmu.tetradapp.model.IndependenceFactsModel} object * @param params a {@link edu.cmu.tetrad.util.Parameters} object */ public FasRunner(IndependenceFactsModel model, Parameters params) { super(model, params, null); } /** *

Constructor for FasRunner.

* * @param model a {@link edu.cmu.tetradapp.model.IndependenceFactsModel} object * @param params a {@link edu.cmu.tetrad.util.Parameters} object * @param knowledgeBoxModel a {@link edu.cmu.tetradapp.model.KnowledgeBoxModel} object */ public FasRunner(IndependenceFactsModel model, Parameters params, KnowledgeBoxModel knowledgeBoxModel) { super(model, params, knowledgeBoxModel); } /** * Generates a simple exemplar of this class to test serialization. * * @return a {@link edu.cmu.tetradapp.model.FasRunner} object * @see TetradSerializableUtils */ public static FasRunner serializableInstance() { return new FasRunner(Dag.serializableInstance(), new Parameters()); } /** *

getMeekRules.

* * @return a {@link edu.cmu.tetrad.search.utils.MeekRules} object */ public MeekRules getMeekRules() { MeekRules rules = new MeekRules(); rules.setMeekPreventCycles(this.isMeekPreventCycles()); rules.setKnowledge((Knowledge) getParams().get("knowledge", new Knowledge())); rules.setVerbose(false); return rules; } /** * {@inheritDoc} */ @Override public String getAlgorithmName() { return "FAS"; } //===================PUBLIC METHODS OVERRIDING ABSTRACT================// /** *

execute.

*/ public void execute() { Knowledge knowledge = (Knowledge) getParams().get("knowledge", new Knowledge()); int depth = getParams().getInt("depth", -1); Graph graph = new EdgeListGraph(getIndependenceTest().getVariables()); Fas fas = new Fas(getIndependenceTest()); fas.setKnowledge(knowledge); fas.setDepth(depth); try { graph = fas.search(); } catch (InterruptedException e) { throw new RuntimeException(e); } System.out.println(graph); for (Node node : graph.getNodes()) { System.out.println(node + " " + graph.getAdjacentNodes(node).size()); } if (getSourceGraph() != null) { LayoutUtil.arrangeBySourceGraph(graph, getSourceGraph()); } else if (knowledge.isDefaultToKnowledgeLayout()) { GraphSearchUtils.arrangeByKnowledgeTiers(graph, knowledge); } else { LayoutUtil.defaultLayout(graph); } setResultGraph(graph); } /** *

getIndependenceTest.

* * @return a {@link edu.cmu.tetrad.search.IndependenceTest} object */ public IndependenceTest getIndependenceTest() { Object dataModel = getDataModel(); if (dataModel == null) { dataModel = getSourceGraph(); } IndTestType testType = (IndTestType) (getParams()).get("indTestType", IndTestType.FISHER_Z); return new IndTestChooser().getTest(dataModel, getParams(), testType); } /** *

getGraph.

* * @return a {@link edu.cmu.tetrad.graph.Graph} object */ public Graph getGraph() { return getResultGraph(); } /** *

getTriplesClassificationTypes.

* * @return the names of the triple classifications. Coordinates with getTriplesList. */ public List getTriplesClassificationTypes() { return new ArrayList<>(); } /** * {@inheritDoc} */ public List> getTriplesLists(Node node) { return new ArrayList<>(); } /** *

supportsKnowledge.

* * @return a boolean */ public boolean supportsKnowledge() { return true; } //========================== Private Methods ===============================// private boolean isMeekPreventCycles() { Parameters params = getParams(); if (params != null) { return params.getBoolean(Params.GUARANTEE_CPDAG, true); } return false; } }




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