/*
 *                    PDB web development code
 *
 * This code may be freely distributed and modified under the
 * terms of the GNU Lesser General Public Licence.  This should
 * be distributed with the code.  If you do not have a copy,
 * see:
 *
 *      http://www.gnu.org/copyleft/lesser.html
 *
 * Copyright for this code is held jointly by the individual
 * authors.  These should be listed in @author doc comments.
 *
 *
 * Created on Jun 17, 2009
 * Created by ap3
 *
 */
package org.biojava.nbio.structure.align.model;

import org.biojava.nbio.structure.Atom;
import org.biojava.nbio.structure.align.ce.CeMain;
import org.biojava.nbio.structure.align.ce.CeSideChainMain;
import org.biojava.nbio.structure.align.util.AFPAlignmentDisplay;
import org.biojava.nbio.structure.jama.Matrix;

import java.io.Serializable;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.Map;

/**
 * A bean to contain the core of a structure alignment.
 * The FatCat aligner class is working on the AFPChain class.
 *
 * @author Andreas Prlic
 * @author Aleix Lafita
 *
 */
public class AFPChain implements Serializable, Cloneable {

        private static final long serialVersionUID = -4474029015606617947L;
        public static final String newline = System.getProperty("line.separator");
        public static final String UNKNOWN_ALGORITHM = "unknown";

        private String algorithmName;
        private String version;

        private String name1;
        private String name2;
        private long ioTime;
        private long calculationTime;
        private long id;

        // results:
        private double alignScore;
        private double alignScoreUpdate;
        private int afpChainTwiNum;

        // end of results
        private double tmScore;

        // utility
        private int minLen ; // the length of the shorter 2 proteins.


        private List<AFP> afpSet;
        private int[][] afpIndex;
        private int[][] afpAftIndex;
        private int[][] afpBefIndex;

        private Matrix disTable1;
        private Matrix disTable2;

        private int[] twi = null ; //the number of twists making the best score ending at each AFP

        private int afpChainLen;
        private int[] afpChainList;
        private double[] afpChainTwiBin;
        private double[] afpChainTwiList;
        private double chainRmsd;

        private int chainLen,misLen,gapLen;
        private int     blockNum;       //the final block number
        private int     blockNumIni;    //block number before block clustering and split
        private int     blockNumClu;    //block number after clustering blocks
        private int     blockNumSpt;    //block number after spliting blocks
        private double[]  blockRmsd;     //the RMSD of each block
        private int[]     block2Afp;     //the index of afp for each block
        private int[]     blockSize;     //the number of AFPs involved in a block
        private double[]  blockScore;    //the score associated with each block
        private int[]     blockGap;      //the gaps in each block
        private int[]     blockResSize;  //the number of residues involved in a block
        private int[][][]     blockResList;//the list of AFP for each block
        private Matrix[] blockRotationMatrix;
        private Atom[]   blockShiftVector;

        private int     focusResn;      //the size of the set
        private int[]     focusRes1;     //the residues from protein 1
        private int[]     focusRes2;     //the residues from protein 2
        private int     focusAfpn;      //the AFP number
        private int[]     focusAfpList;  //the AFP list

        private boolean shortAlign;

        private String [][][] pdbAln; // only needed temp. during XML serialization, since we don;t have coordinates loaded at that time and can map from PDB res numbers to atom positions.
        private int[][][] optAln;
        private int[] optLen ;
        private double[] optRmsd ;
        private int optLength;

        private char[] alnsymb;
        private char[] alnseq1;
        private char[] alnseq2;
        private int alnLength;
        private int alnbeg1;
        private int alnbeg2;

        private int totalLenIni;
        private int totalLenOpt = 0;

        private double totalRmsdIni;
        private double totalRmsdOpt;

        private int ca1Length;
        private int ca2Length;

        // this one is special. it comes from the FatCatParameters...
        // default is flexible alignment...
        private int maxTra = 5;

        private Double conn;
        private Double dvar;

        private double probability;
        private double identity;
        private double similarity;
        private double normAlignScore;

        private int myResultsEQR;
        private int myResultsSimilarity1;
        private int myResultsSimilarity2;

        // Mark whether the alignment topology is sequential
        // false if a circular permutation has occured
        private boolean sequentialAlignment;

        // background distances
        private Matrix distanceMatrix;

        private String description2;

        /**
         * Construction of an AFPChain needs the algorithm name, since downstream
         * analysis methods (scores, display, etc) behave differently if the
         * alignment is flexible (created with FatCat).
         *
         * @param algorithmName
         */
        public AFPChain(String algorithmName){
                this.algorithmName = algorithmName;
                init();
        }

        /**
         * Copy constructor
         * @param o AFPChain to duplicate
         */
        public AFPChain(AFPChain o) {
                this.algorithmName = o.algorithmName;
                this.version = o.version;
                this.name1 = o.name1;
                this.name2 = o.name2;
                this.ioTime = o.ioTime;
                this.calculationTime = o.calculationTime;
                this.id = o.id;
                this.alignScore = o.alignScore;
                this.alignScoreUpdate = o.alignScoreUpdate;
                this.afpChainTwiNum = o.afpChainTwiNum;
                this.minLen = o.minLen;
                this.afpSet = new ArrayList<AFP>(o.afpSet);
                this.afpIndex = o.afpIndex == null? null: o.afpIndex.clone();
                this.afpAftIndex = o.afpAftIndex == null? null: o.afpAftIndex.clone();
                this.afpBefIndex = o.afpBefIndex == null? null: o.afpBefIndex.clone();
                this.disTable1 = o.disTable1 == null? null: (Matrix) o.disTable1.clone();
                this.disTable2 = o.disTable2 == null? null: (Matrix) o.disTable2.clone();
                this.twi = o.twi == null ? null : o.twi.clone();
                this.afpChainLen = o.afpChainLen;
                this.afpChainList = o.afpChainList == null? null: o.afpChainList.clone();
                this.afpChainTwiBin = o.afpChainTwiBin == null? null: o.afpChainTwiBin.clone();
                this.afpChainTwiList = o.afpChainTwiList == null? null: o.afpChainTwiList.clone();
                this.chainRmsd = o.chainRmsd;
                this.chainLen = o.chainLen;
                this.misLen = o.misLen;
                this.gapLen = o.gapLen;
                this.blockNum = o.blockNum;
                this.blockNumIni = o.blockNumIni;
                this.blockNumClu = o.blockNumClu;
                this.blockNumSpt = o.blockNumSpt;
                this.blockRmsd = o.blockRmsd == null ? null : o.blockRmsd.clone();
                this.block2Afp = o.block2Afp == null ? null : o.block2Afp.clone();
                this.blockSize = o.blockSize == null ? null : o.blockSize.clone();
                this.blockScore = o.blockScore == null ? null : o.blockScore.clone();
                this.blockGap = o.blockGap == null ? null : o.blockGap.clone();
                this.blockResSize = o.blockResSize == null ? null : o.blockResSize.clone();
                this.blockResList = o.blockResList == null ? null : o.blockResList.clone();
                this.blockRotationMatrix = o.blockRotationMatrix == null ? null : o.blockRotationMatrix.clone();
                this.blockShiftVector = o.blockShiftVector == null ? null : o.blockShiftVector.clone();
                this.focusResn = o.focusResn;
                this.focusRes1 = o.focusRes1 == null ? null : o.focusRes1.clone();
                this.focusRes2 = o.focusRes2 == null ? null : o.focusRes2.clone();
                this.focusAfpn = o.focusAfpn;
                this.focusAfpList = o.focusAfpList == null ? null : o.focusAfpList.clone();
                this.shortAlign = o.shortAlign;
                this.pdbAln = o.pdbAln == null ? null : o.pdbAln.clone();
                this.optAln = o.optAln == null ? null : o.optAln.clone();
                this.optLen = o.optLen == null ? null : o.optLen.clone();
                this.optRmsd = o.optRmsd == null ? null : o.optRmsd.clone();
                this.optLength = o.optLength;
                this.alnsymb = o.alnsymb == null ? null : o.alnsymb.clone();
                this.alnseq1 = o.alnseq1 == null ? null : o.alnseq1.clone();
                this.alnseq2 = o.alnseq2 == null ? null : o.alnseq2.clone();
                this.alnLength = o.alnLength;
                this.alnbeg1 = o.alnbeg1;
                this.alnbeg2 = o.alnbeg2;
                this.totalLenIni = o.totalLenIni;
                this.totalLenOpt = o.totalLenOpt;
                this.totalRmsdIni = o.totalRmsdIni;
                this.totalRmsdOpt = o.totalRmsdOpt;
                this.ca1Length = o.ca1Length;
                this.ca2Length = o.ca2Length;
                this.maxTra = o.maxTra;
                this.conn = new Double(o.conn);
                this.dvar = new Double(o.dvar);
                this.probability = o.probability;
                this.identity = o.identity;
                this.similarity = o.similarity;
                this.normAlignScore = o.normAlignScore;
                this.myResultsEQR = o.myResultsEQR;
                this.myResultsSimilarity1 = o.myResultsSimilarity1;
                this.myResultsSimilarity2 = o.myResultsSimilarity2;
                this.distanceMatrix = o.distanceMatrix;
        }

        /**
         * Creates and returns a copy of this object.
         */
        @Override
        public Object clone() {
                return new AFPChain(this);
        }

        public long getId()
        {
                return id;
        }
        public void setId(long id)
        {
                this.id = id;
        }

        public String toCE(Atom[] ca1, Atom[]ca2) {

                return AfpChainWriter.toCE(this,ca1,ca2);

        }

        public String toRotMat(){

                return AfpChainWriter.toRotMat(this);
        }

        public String toFatcat(Atom[] ca1, Atom[]ca2){

                return AfpChainWriter.toFatCat(this,ca1,ca2);

        }

        public String toDBSearchResult(){

                return AfpChainWriter.toDBSearchResult(this);
        }

        protected void calcSimilarity() {
                Map<String,Double> idMap = AFPAlignmentDisplay.calcIdSimilarity(alnseq1,alnseq2,alnLength);

                //probability = idMap.get("probability");
                similarity = idMap.get("similarity");
                identity   = idMap.get("identity");

        }




        /**
         * Get the number of structurally equivalent residues
         *
         * @return nr of EQR
         */
        public int getNrEQR(){

                if (myResultsEQR < 0){
                        if ( optLen == null) {
                                myResultsEQR = 0;
                                return 0;
                        }

                        int nrEqr = 0;
                        for(int bk = 0; bk < blockNum; bk ++)       {

                                for ( int i=0;i< optLen[bk];i++){
                                        nrEqr++;
                                }
                        }
                        myResultsEQR = nrEqr;
                }
                return myResultsEQR;
        }

        /** Get the coverage of protein 1 with the alignment
         *
         * @return percentage of coverage, between 0 and 100.
         */
        public int getCoverage1(){
                if ( myResultsSimilarity1 < 0 ) {
                        int distance = ca1Length + ca2Length - 2 * getNrEQR();

                        int similarity = (ca1Length + ca2Length - distance ) / 2;

                        myResultsSimilarity1 = Math.round(similarity /(float) ca1Length * 100);
                }
                return myResultsSimilarity1;
        }

        /** Get the coverage of protein 2 with the alignment
         *
         * @return percentage of coverage, between 0 and 100.
         */
        public int getCoverage2(){
                if ( myResultsSimilarity2 < 0 ) {


                        int distance = ca1Length + ca2Length - 2 * getNrEQR();

                        int similarity = (ca1Length + ca2Length - distance ) / 2;
                        myResultsSimilarity2 = Math.round(similarity /(float) ca2Length * 100);
                }
                return myResultsSimilarity2;

        }

        @Override
        public String toString(){

                //int lA = ca1Length;
                //int lB = ca2Length;
                //int distance = lA + lB - 2 * getNrEQR();

                StringBuffer str = new StringBuffer("");
                str.append("EQR:");
                str.append(getNrEQR());

                str.append("\tLen1:");
                str.append(this.getCa1Length());
                str.append("\tLen2:");
                str.append(this.getCa2Length());
                str.append(String.format("\tscore: %.2f",this.getAlignScore()));
                str.append("\t");
                if ( algorithmName.equalsIgnoreCase(CeMain.algorithmName) || algorithmName.equalsIgnoreCase(CeSideChainMain.algorithmName)){
                        str.append("Z-score:");
                        str.append(String.format("%.2f",this.getProbability()));
                } else {
                        str.append("Probability:");
                        str.append(String.format("%.2e",this.getProbability()));
                }
                str.append("\tRMSD:");
                str.append(String.format("%.2f",this.getTotalRmsdOpt()));

                str.append("\tSeqID:");
                str.append(String.format("%.0f",getIdentity()*100));
                str.append("%\tSeqSim:");
                str.append(String.format("%.0f",getSimilarity()*100));
                str.append("%\tCov1:");
                str.append(this.getCoverage1());
                str.append("%\tCov2:");
                str.append(this.getCoverage2());
                str.append("%");

                if (  tmScore != -1)  {
                        str.append("\ttmScore:");
                        str.append(String.format("%.2f",tmScore));
                }
                str.append(newline);


                return str.toString();
        }

        public boolean isSignificantResult(){
                if ( algorithmName.equalsIgnoreCase(CeMain.algorithmName) || algorithmName.equalsIgnoreCase(CeSideChainMain.algorithmName)){
                        if (probability >= 3.5)
                                return true;
                } else {
                        if (probability < 0.01)
                                return true;
                }
                return false;
        }




        private void init(){
                shortAlign = false;
                afpChainLen = 0;

                afpChainList      = null;
                afpChainTwiBin  = null;
                afpChainTwiList = null;
                chainRmsd=0;
                chainLen = misLen = gapLen = 0;

                blockResSize = null;
                blockScore = null;
                blockGap = null;
                optAln = null;
                pdbAln = null;
                optLen = null;

                optRmsd = null;

                block2Afp = new int[maxTra+1];
                blockSize = new int[maxTra+1];
                blockRmsd = new double[maxTra+1];
                blockScore = new double[maxTra+1];
                blockGap = new int[maxTra+1];

                blockResSize = new int[maxTra+1];

                afpSet = new ArrayList<AFP>();
                totalLenIni = totalLenOpt = 0;
                totalRmsdIni = totalRmsdOpt = 0.0;

                afpChainTwiNum = 0;
                alignScore = 0;
                alignScoreUpdate = 0;
                conn = new Double(0);
                dvar = new Double(0);
                calculationTime = 0;

                similarity = -1;
                identity   = -1;
                myResultsEQR = -1;
                myResultsSimilarity1 = -1;
                myResultsSimilarity2 = -1;
                version = "1.0";
                sequentialAlignment = true;
                distanceMatrix = null;
                tmScore = -1;
                description2=null;
        }

        /**
         * Resets properties which can be calculated on the fly
         */
        private void invalidate() {
                myResultsEQR = -1;
                myResultsSimilarity1 = -1;
                myResultsSimilarity2 = -1;
                identity = -1;
                similarity = -1;
        }

        /** used temporarily during XML serialization to track the PDB positions of the alignmnet
         *
         * @return String array
         */
        public String[][][] getPdbAln() {
                return pdbAln;
        }


        public void setPdbAln(String[][][] pdbAln) {
                this.pdbAln = pdbAln;
        }


        public Double getConn()
        {
                return conn;
        }


        public void setConn(Double conn)
        {
                this.conn = conn;
        }


        public Double getDVar()
        {
                return dvar;
        }


        public void setDVar(Double dvar)
        {
                this.dvar = dvar;
        }


        /** get the maximum nr of Twists that are allowed...
         *
         * @return maxTra, the max nr of twists
         */
        public int getMaxTra()
        {
                return maxTra;
        }

        /**
         * Set the maximum number of Twists that are allowed...
         * @param maxTra
         */
        public void setMaxTra(int maxTra)
        {
                this.maxTra = maxTra;
        }


        public double getAlignScore()
        {
                return alignScore;
        }

        public void setAlignScore(double alignScore)
        {
                this.alignScore = alignScore;
        }

        public double getAlignScoreUpdate()
        {
                return alignScoreUpdate;
        }

        public void setAlignScoreUpdate(double alignScoreUpdate)
        {
                this.alignScoreUpdate = alignScoreUpdate;
        }

        public int getAfpChainTwiNum()
        {
                return afpChainTwiNum;
        }

        public void setAfpChainTwiNum(int afpChainTwiNum)
        {
                this.afpChainTwiNum = afpChainTwiNum;
        }

        public int getMinLen()
        {
                return minLen;
        }

        public void setMinLen(int minLen)
        {
                this.minLen = minLen;
        }



        /**
         * Get the set of AFPs for this alignment.
         * An AFP is a local ungapped alignment between the two peptides.
         *
         * AFPs are set before the final optimization step. To get the final
         * alignment, look at the aligned pairs from {@link #getOptAln()}.
         *
         * @return The optimal set of AFPs
         * @see #getOptAln()
         */
        public List<AFP> getAfpSet()
        {
                return afpSet;
        }


        /**
         * Set the set of AFPs for this alignment.
         * An AFP is a local ungapped alignment between the two peptides.
         *
         * AFPs are set before the final optimization step. To get the final
         * alignment, look at the aligned pairs from {@link #getOptAln()}.
         */
        public void setAfpSet(List<AFP> afpSet)
        {
                this.afpSet = afpSet;
        }

        public int[][] getAfpIndex()
        {
                return afpIndex;
        }

        public void setAfpIndex(int[][] afpIndex)
        {
                this.afpIndex = afpIndex;
        }


        public int[][] getAfpAftIndex()
        {
                return afpAftIndex;
        }

        public void setAfpAftIndex(int[][] afpAftIndex)
        {
                this.afpAftIndex = afpAftIndex;
        }


        public int[][] getAfpBefIndex()
        {
                return afpBefIndex;
        }

        public void setAfpBefIndex(int[][] afpBefIndex)
        {
                this.afpBefIndex = afpBefIndex;
        }


        public Matrix getDisTable1()
        {
                return disTable1;
        }

        public void setDisTable1(Matrix disTable1)
        {
                this.disTable1 = disTable1;
        }


        public Matrix getDisTable2()
        {
                return disTable2;
        }

        public void setDisTable2(Matrix disTable2)
        {
                this.disTable2 = disTable2;
        }


        public int[] getTwi()
        {
                return twi;
        }

        public void setTwi(int[] twi)
        {
                this.twi = twi;
        }

        public int getAfpChainLen()
        {
                return afpChainLen;
        }

        public void setAfpChainLen(int afpChainLen)
        {
                this.afpChainLen = afpChainLen;
        }

        public int[] getAfpChainList()
        {
                return afpChainList;
        }

        public void setAfpChainList(int[] afpChainList)
        {
                this.afpChainList = afpChainList;
        }

        public double[] getAfpChainTwiBin()
        {
                return afpChainTwiBin;
        }

        public void setAfpChainTwiBin(double[] afpChainTwiBin)
        {
                this.afpChainTwiBin = afpChainTwiBin;
        }

        public double[] getAfpChainTwiList()
        {
                return afpChainTwiList;
        }

        public void setAfpChainTwiList(double[] afpChainTwiList)
        {
                this.afpChainTwiList = afpChainTwiList;
        }

        public double getChainRmsd()
        {
                return chainRmsd;
        }

        /** The RMSD of the chain of AFPs. Set during AFPCHainer.traceBack();
         *
         * @param chainRmsd
         */
        public void setChainRmsd(double chainRmsd)
        {
                this.chainRmsd = chainRmsd;
        }

        public int getChainLen()
        {
                return chainLen;
        }

        public void setChainLen(int chainLen)
        {
                this.chainLen = chainLen;
        }

        public int getMisLen()
        {
                return misLen;
        }

        public void setMisLen(int misLen)
        {
                this.misLen = misLen;
        }

        public int getGapLen()
        {
                return gapLen;
        }

        public void setGapLen(int gapLen)
        {
                this.gapLen = gapLen;
        }

        /** The number of blocks in the alignment
         *
         * @return the nr of blocks in alignment
         */
        public int getBlockNum()
        {
                return blockNum;
        }

        public void setBlockNum(int blockNum)
        {
                this.blockNum = blockNum;
        }

        public int getBlockNumIni()
        {
                return blockNumIni;
        }

        public void setBlockNumIni(int blockNumIni)
        {
                this.blockNumIni = blockNumIni;
        }

        public int getBlockNumClu()
        {
                return blockNumClu;
        }

        public void setBlockNumClu(int blockNumClu)
        {
                this.blockNumClu = blockNumClu;
        }

        public int getBlockNumSpt()
        {
                return blockNumSpt;
        }

        public void setBlockNumSpt(int blockNumSpt)
        {
                this.blockNumSpt = blockNumSpt;
        }

        public double[] getBlockRmsd()
        {
                return blockRmsd;
        }

        public void setBlockRmsd(double[] blockRmsd)
        {
                this.blockRmsd = blockRmsd;
        }

        public int[] getBlock2Afp()
        {
                return block2Afp;
        }

        public void setBlock2Afp(int[] block2Afp)
        {
                this.block2Afp = block2Afp;
        }

        public int[] getBlockSize()
        {
                return blockSize;
        }

        public void setBlockSize(int[] blockSize)
        {
                this.blockSize = blockSize;
        }

        public double[] getBlockScore()
        {
                return blockScore;
        }

        public void setBlockScore(double[] blockScore)
        {
                this.blockScore = blockScore;
        }

        public int[] getBlockGap()
        {
                return blockGap;
        }

        public void setBlockGap(int[] blockGap)
        {
                this.blockGap = blockGap;
        }

        public int[] getBlockResSize()
        {
                return blockResSize;
        }

        public void setBlockResSize(int[] blockResSize)
        {
                this.blockResSize = blockResSize;
        }


        /** tracks the residues of the initial blocks (before optimization)
         *
         *
         * @return list of block residues
         */
        public int[][][] getBlockResList()
        {
                return blockResList;
        }

        public void setBlockResList(int[][][] blockResList)
        {
                this.blockResList = blockResList;
        }

        public int getFocusResn()
        {
                return focusResn;
        }

        public void setFocusResn(int focusResn)
        {
                this.focusResn = focusResn;
        }


        public int[] getFocusRes1()
        {
                return focusRes1;
        }

        public void setFocusRes1(int[] focusRes1)
        {
                this.focusRes1 = focusRes1;
        }


        public int[] getFocusRes2()
        {
                return focusRes2;
        }

        public void setFocusRes2(int[] focusRes2)
        {
                this.focusRes2 = focusRes2;
        }

        public int getFocusAfpn()
        {
                return focusAfpn;
        }

        public void setFocusAfpn(int focusAfpn)
        {
                this.focusAfpn = focusAfpn;
        }

        public int[] getFocusAfpList()
        {
                return focusAfpList;
        }

        public void setFocusAfpList(int[] focusAfpList)
        {
                this.focusAfpList = focusAfpList;
        }

        public boolean isShortAlign()
        {
                return shortAlign;
        }

        public void setShortAlign(boolean shortAlign)
        {
                this.shortAlign = shortAlign;
        }

        /** Tracks the Atom positions in the optimal alignment. Note: only considers the equivalent positions, gaps are ignored...
         * first dimension is the block nr
         * second dimension is 0 or 1 (the alignment chain index)
         * third is the position
         * @return int array
         */
        public int[][][] getOptAln()
        {
                return optAln;
        }

        public void setOptAln(int[][][] optAln)
        {
                invalidate();
                this.optAln = optAln;
        }

        /**
         * The length of each block
         * @return lengths
         */
        public int[] getOptLen()
        {
                return optLen;
        }

        public void setOptLen(int[] optLen)
        {
                this.optLen = optLen;
        }

        public double[] getOptRmsd()
        {
                return optRmsd;
        }

        public void setOptRmsd(double[] optRmsd)
        {
                this.optRmsd = optRmsd;
        }

        public int getOptLength()
        {
                return optLength;
        }

        /** The length of the optimal alignment. Set by AFPOptimizer.optimizeAln().
         * This should be the sum of the elements in optLen
         * @param optLength
         */
        public void setOptLength(int optLength)
        {
                this.optLength = optLength;
        }


        public char[] getAlnsymb()
        {
                return alnsymb;
        }

        public void setAlnsymb(char[] alnsymb)
        {
                this.alnsymb = alnsymb;
        }


        public char[] getAlnseq1()
        {
                return alnseq1;
        }

        public void setAlnseq1(char[] alnseq1)
        {
                this.alnseq1 = alnseq1;
        }


        public char[] getAlnseq2()
        {
                return alnseq2;
        }

        public void setAlnseq2(char[] alnseq2)
        {
                this.alnseq2 = alnseq2;
        }


        /**
         * @return The total length of the alignment, including gaps
         * @see #getOptLength(), the number of aligned residues in the final alignment.
         */
        public int getAlnLength()
        {
                return alnLength;
        }

        public void setAlnLength(int alnLength)
        {
                this.alnLength = alnLength;
        }

        /**
         * @return The index of the first aligned residue in protein 1
         */
        public int getAlnbeg1()
        {
                return alnbeg1;
        }

        public void setAlnbeg1(int alnbeg1)
        {
                this.alnbeg1 = alnbeg1;
        }
        /**
         * @return The index of the first aligned residue in protein 2
         */
        public int getAlnbeg2()
        {
                return alnbeg2;
        }

        public void setAlnbeg2(int alnbeg2)
        {
                this.alnbeg2 = alnbeg2;
        }

        public int getTotalLenIni()
        {
                return totalLenIni;
        }

        public void setTotalLenIni(int totalLenIni)
        {
                this.totalLenIni = totalLenIni;
        }

        public int getTotalLenOpt()
        {
                return totalLenOpt;
        }

        public void setTotalLenOpt(int totalLenOpt)
        {
                this.totalLenOpt = totalLenOpt;
        }

        /** this is the init-RMSD, not the final RMSD after refinement.
         *
         * @return totalRmsdIni
         */
        public double getTotalRmsdIni()
        {
                return totalRmsdIni;
        }

        /** this is the init-RMSD, not the final RMSD after refinement.
         *
         * @param totalRmsdIni
         */
        public void setTotalRmsdIni(double totalRmsdIni)
        {
                this.totalRmsdIni = totalRmsdIni;
        }


        /** The RMSD of the final alignment. Use this to print overal alignment RMSD.
         *
         * @return total RMSD of the optimal alignment.
         */
        public double getTotalRmsdOpt()
        {
                return totalRmsdOpt;
        }

        /** The RMSD of the final alignment. Use this to print overal alignment RMSD.
         *
         * @param totalRmsdOpt : total RMSD of the optimal alignment
         */
        public void setTotalRmsdOpt(double totalRmsdOpt)
        {
                this.totalRmsdOpt = totalRmsdOpt;
        }


        public String getName1()
        {
                return name1;
        }


        public void setName1(String name1)
        {
                this.name1 = name1;
        }



        public String getName2()
        {
                return name2;
        }

        public void setName2(String name2)
        {
                this.name2 = name2;
        }


        public long getCalculationTime()
        {
                return calculationTime;
        }

        public void setCalculationTime(long calculationTime)
        {
                this.calculationTime = calculationTime;
        }

        public int getCa1Length()
        {
                return ca1Length;
        }

        public void setCa1Length(int ca1Length)
        {
                this.ca1Length = ca1Length;
        }

        public int getCa2Length()
        {
                return ca2Length;
        }

        public void setCa2Length(int ca2Length)
        {
                this.ca2Length = ca2Length;
        }

        public long getIoTime()
        {
                return ioTime;
        }

        public void setIoTime(long ioTime)
        {
                this.ioTime = ioTime;
        }

        /** The probability (FATCAT) or Z-score (CE) of the alignment.
         *
         * @return either the probability (FATCAT) or the Z-score (CE) of the alignment.
         */
        public double getProbability()
        {
                return probability;
        }

        public void setProbability(double probability)
        {
                this.probability = probability;
        }

        /** The percent of residues that are sequence-identical in the alignment.
         *
         * @return a value between 0 and 1
         */
        public double getIdentity() {
                if ( identity <= 0) {
                        calcSimilarity();
                }
                return identity;
        }

        public void setIdentity(double identity) {

                this.identity = identity;
        }


        /** Returns the similarity score for the alignment. This gives the percent of
         * sequence similar residues in the alignment.
         *
         * @return a double between 0 and 1
         */
        public double getSimilarity() {
                if ( similarity < 0)
                        calcSimilarity();
                return similarity;
        }

        public void setSimilarity(double similarity) {
                this.similarity = similarity;
        }


        public double getNormAlignScore()
        {
                return normAlignScore;
        }

        public void setNormAlignScore(double normAlignScore)
        {
                this.normAlignScore = normAlignScore;
        }

        public Matrix[] getBlockRotationMatrix()
        {
                return blockRotationMatrix;
        }

        public void setBlockRotationMatrix(Matrix[] blockRotationMatrix)
        {
                this.blockRotationMatrix = blockRotationMatrix;
        }

        public Atom[] getBlockShiftVector()
        {
                return blockShiftVector;
        }

        public void setBlockShiftVector(Atom[] blockShiftVector)
        {
                this.blockShiftVector = blockShiftVector;
        }

        public String getAlgorithmName() {
                return algorithmName;
        }

        /**
         * Caution has to be made when changing the algorithmName of an AFPChain,
         * since downstream analysis methods (scores, display, etc) behave
         * differently if the alignment is flexible (created with FatCat).
         *
         * @param algorithmName
         */
        public void setAlgorithmName(String algorithmName) {
                this.algorithmName = algorithmName;
        }

        public String getVersion() {
                return version;
        }

        public void setVersion(String version) {
                this.version = version;
        }

        /**
         * Get whether this alignment has the normal topology, ie the residues
         * aligned in each block increase sequentially over the original protein.
         *
         * This will be false if a circular permutation was detected.
         * @return true if the alignment is sequential
         */
        public boolean isSequentialAlignment() {
                return sequentialAlignment;
        }
        /**
         * Set whether this alignment has the normal topology, ie the residues
         * aligned in each block increase sequentially over the original protein.
         *
         * This will be false if a circular permutation was detected.
         */
        public void setSequentialAlignment(boolean sequentialAlignment) {
                this.sequentialAlignment = sequentialAlignment;
        }

        /**
         * A matrix with <i>ca1length</i> rows and <i>ca2length</i> columns.
         * For CE this is the distance matrix, but the exact interpretation is left
         * up to the alignment algorithm.
         *
         * <p>Note:
         * A {@link org.biojava.nbio.structure.gui.JMatrixPanel}, which is used in
         * the structure-gui package to display distance matrices, will display the
         * transpose of this matrix. Be sure to take that into account when debugging
         * visually.
         *
         * @return A matrix with dimensions ca1length x ca2length, or null
         */
        public Matrix getDistanceMatrix() {
                return distanceMatrix;
        }

        /**
         * A matrix with <i>ca1length</i> rows and <i>ca2length</i> columns.
         * For CE this is the distance matrix, but the exact interpretation is left
         * up to the alignment algorithm.
         * @param distanceMatrix A matrix with dimensions ca1length x ca2length
         */
        public void setDistanceMatrix(Matrix distanceMatrix) {
                this.distanceMatrix = distanceMatrix;

                //System.out.println("Setting distMatrix "+(distanceMatrix==null?"null":"not null"));
        }


        public void setTMScore(double tmScore){
                this.tmScore = tmScore;
        }

        /** Returns the tmScore of the alignment. If the score has not been calcualted yet,
         * returns -1. To calculate it call AFPChainScorer.getTMScore(afpChain, ca1, ca2);
         *
         * @return -1, if not calculated, or the TM-score, a score between 0 and 1
         */
        public double getTMScore()
        {

                return tmScore;
        }



        /** Get a textual description for the protein 2 of the alignment.
         *
         * @return
         */
        public String getDescription2() {
                return description2;
        }


        /** Set the textual description for protein 2.
         *
         * @param desc
         */
        public void setDescription2(String desc){
                this.description2 = desc;
        }


        /* (non-Javadoc)
         * @see java.lang.Object#hashCode()
         */
        @Override
        public int hashCode() {
                final int prime = 31;
                int result = 1;
                result = prime * result + blockNum;
                result = prime * result + ca1Length;
                result = prime * result + ca2Length;
                result = prime * result + Arrays.hashCode(optAln);
                result = prime * result + Arrays.hashCode(optLen);
                result = prime * result + optLength;
                return result;
        }

        /**
         * A week equality metric.
         *
         * Checks if the optAlign is the same, and if the objects being compared
         * seem to be the same (same names, lengths). Does not check properties
         * of the alignment such as scores or superposition matrices.
         * @see java.lang.Object#equals(java.lang.Object)
         */
        @Override
        public boolean equals(Object obj) {
                if (this == obj)
                        return true;
                if (obj == null)
                        return false;
                if (getClass() != obj.getClass())
                        return false;
                AFPChain other = (AFPChain) obj;
                if (blockNum != other.blockNum)
                        return false;
                if (ca1Length != other.ca1Length)
                        return false;
                if (ca2Length != other.ca2Length)
                        return false;
                if (!Arrays.deepEquals(optAln, other.optAln))
                        return false;
                if (!Arrays.equals(optLen, other.optLen))
                        return false;
                if (optLength != other.optLength)
                        return false;
                return true;
        }


}