/*  $Id: alnvec.cpp 608806 2020-05-21 14:51:55Z ivanov $
* ===========================================================================
*
*                            PUBLIC DOMAIN NOTICE
*               National Center for Biotechnology Information
*
*  This software/database is a "United States Government Work" under the
*  terms of the United States Copyright Act.  It was written as part of
*  the author's official duties as a United States Government employee and
*  thus cannot be copyrighted.  This software/database is freely available
*  to the public for use. The National Library of Medicine and the U.S.
*  Government have not placed any restriction on its use or reproduction.
*
*  Although all reasonable efforts have been taken to ensure the accuracy
*  and reliability of the software and data, the NLM and the U.S.
*  Government do not and cannot warrant the performance or results that
*  may be obtained by using this software or data. The NLM and the U.S.
*  Government disclaim all warranties, express or implied, including
*  warranties of performance, merchantability or fitness for any particular
*  purpose.
*
*  Please cite the author in any work or product based on this material.
*
* ===========================================================================
*
* Author:  Kamen Todorov, NCBI
*
* File Description:
*   Access to the actual aligned residues
*
* ===========================================================================
*/

#include <ncbi_pch.hpp>
#include <objtools/alnmgr/alnvec.hpp>

// Objects includes
#include <objects/seq/Bioseq.hpp>
#include <objects/seq/IUPACna.hpp>
#include <objects/seq/Seq_descr.hpp>
#include <objects/seq/Seqdesc.hpp>
#include <objects/seq/Seq_inst.hpp>
#include <objects/seqset/Seq_entry.hpp>
#include <objects/seqloc/Seq_id.hpp>
#include <objects/seqloc/Seq_interval.hpp>
#include <objects/seqloc/Seq_loc.hpp>
#include <objects/general/Object_id.hpp>
#include <objects/seqfeat/Genetic_code_table.hpp>

// Object Manager includes
#include <objmgr/scope.hpp>
#include <objmgr/seq_vector.hpp>

#include <util/tables/raw_scoremat.h>

BEGIN_NCBI_SCOPE
BEGIN_objects_SCOPE // namespace ncbi::objects::

CAlnVec::CAlnVec(const CDense_seg& ds, CScope& scope) 
    : CAlnMap(ds),
      m_Scope(&scope),
      m_set_GapChar(false),
      m_set_EndChar(false),
      m_NaCoding(CSeq_data::e_not_set),
      m_AaCoding(CSeq_data::e_not_set)
{
}


CAlnVec::CAlnVec(const CDense_seg& ds, TNumrow anchor, CScope& scope)
    : CAlnMap(ds, anchor),
      m_Scope(&scope),
      m_set_GapChar(false),
      m_set_EndChar(false),
      m_NaCoding(CSeq_data::e_not_set),
      m_AaCoding(CSeq_data::e_not_set)
{
}


CAlnVec::~CAlnVec(void)
{
}


const CBioseq_Handle& CAlnVec::GetBioseqHandle(TNumrow row) const
{
    TBioseqHandleCache::iterator i = m_BioseqHandlesCache.find(row);
    
    if (i != m_BioseqHandlesCache.end()) {
        return i->second;
    } else {
        CBioseq_Handle bioseq_handle = 
            GetScope().GetBioseqHandle(GetSeqId(row));
        if (bioseq_handle) {
            return m_BioseqHandlesCache[row] = bioseq_handle;
        } else {
            string errstr = string("CAlnVec::GetBioseqHandle(): ") 
                + "Seq-id cannot be resolved: "
                + GetSeqId(row).AsFastaString();
            
            NCBI_THROW(CAlnException, eInvalidSeqId, errstr);
        }
    }
}


CSeqVector& CAlnVec::x_GetSeqVector(TNumrow row) const
{
    TSeqVectorCache::iterator iter = m_SeqVectorCache.find(row);
    CRef<CSeqVector> seq_vec;
    if (iter != m_SeqVectorCache.end()) {
        seq_vec = iter->second;
    }
    else {
        CBioseq_Handle h = GetBioseqHandle(row);
        CSeqVector vec = h.GetSeqVector
            (CBioseq_Handle::eCoding_Iupac,
             IsPositiveStrand(row) ? 
             CBioseq_Handle::eStrand_Plus :
             CBioseq_Handle::eStrand_Minus);
        seq_vec.Reset(new CSeqVector(vec));
        m_SeqVectorCache[row] = seq_vec;
    }
    if ( seq_vec->IsNucleotide() ) {
        if (m_NaCoding != CSeq_data::e_not_set) {
            seq_vec->SetCoding(m_NaCoding);
        }
        else {
            seq_vec->SetIupacCoding();
        }
    }
    else if ( seq_vec->IsProtein() ) {
        if (m_AaCoding != CSeq_data::e_not_set) {
            seq_vec->SetCoding(m_AaCoding);
        }
        else {
            seq_vec->SetIupacCoding();
        }
    }
    return *seq_vec;
}


string& CAlnVec::GetAlnSeqString(string& buffer,
                                 TNumrow row,
                                 const TSignedRange& aln_rng) const
{
    string buff;
    buffer.erase();

    CSeqVector& seq_vec      = x_GetSeqVector(row);
    TSeqPos     seq_vec_size = seq_vec.size();
    
    // get the chunks which are aligned to seq on anchor
    CRef<CAlnMap::CAlnChunkVec> chunk_vec = 
        GetAlnChunks(row, aln_rng, fSkipInserts | fSkipUnalignedGaps);
    
    // for each chunk
    for (int i=0; i<chunk_vec->size(); i++) {
        CConstRef<CAlnMap::CAlnChunk> chunk = (*chunk_vec)[i];
                
        if (chunk->GetType() & fSeq) {
            // add the sequence string
            if (IsPositiveStrand(row)) {
                seq_vec.GetSeqData(chunk->GetRange().GetFrom(),
                                   chunk->GetRange().GetTo() + 1,
                                   buff);
            } else {
                seq_vec.GetSeqData(seq_vec_size - chunk->GetRange().GetTo() - 1,
                                   seq_vec_size - chunk->GetRange().GetFrom(),
                                   buff);
            }
            if (GetWidth(row) == 3) {
                TranslateNAToAA(buff, buff, GetGenCode(row));
            }
           buffer += buff;
        } else {
            // add appropriate number of gap/end chars
            const int n = chunk->GetAlnRange().GetLength();
            char* ch_buff = new char[n+1];
            char fill_ch;
            if (chunk->GetType() & fNoSeqOnLeft  ||
                chunk->GetType() & fNoSeqOnRight) {
                fill_ch = GetEndChar();
            } else {
                fill_ch = GetGapChar(row);
            }
            memset(ch_buff, fill_ch, n);
            ch_buff[n] = 0;
            buffer += ch_buff;
            delete[] ch_buff;
        }
    }
    return buffer;
}


string& CAlnVec::GetWholeAlnSeqString(TNumrow       row,
                                      string&       buffer,
                                      TSeqPosList * insert_aln_starts,
                                      TSeqPosList * insert_starts,
                                      TSeqPosList * insert_lens,
                                      unsigned int  scrn_width,
                                      TSeqPosList * scrn_lefts,
                                      TSeqPosList * scrn_rights) const
{
    TSeqPos       aln_pos = 0,
        len = 0,
        curr_pos = 0,
        anchor_pos = 0,
        scrn_pos = 0,
        prev_len = 0,
        ttl_len = 0;
    TSignedSeqPos start = -1,
        stop = -1,
        scrn_lft_seq_pos = -1,
        scrn_rgt_seq_pos = -1,
        prev_aln_pos = -1,
        prev_start = -1;
    TNumseg       seg;
    int           pos, nscrns, delta;
    
    TSeqPos aln_len = GetAlnStop() + 1;

    bool anchored = IsSetAnchor();
    bool plus     = IsPositiveStrand(row);
    int  width    = GetWidth(row);

    scrn_width *= width;

    const bool record_inserts = insert_starts && insert_lens;
    const bool record_coords  = scrn_width && scrn_lefts && scrn_rights;

    // allocate space for the row
    buffer.clear();
    buffer.reserve(aln_len);
    string buff;
    
    const TNumseg& left_seg = x_GetSeqLeftSeg(row);
    const TNumseg& right_seg = x_GetSeqRightSeg(row);

    // loop through all segments
    for (seg = 0, pos = row, aln_pos = 0, anchor_pos = m_Anchor;
         seg < m_NumSegs;
         ++seg, pos += m_NumRows, anchor_pos += m_NumRows) {
        
        const TSeqPos& seg_len = m_Lens[seg];
        start = m_Starts[pos];
        len = seg_len * width;

        if (anchored  &&  m_Starts[anchor_pos] < 0) {
            if (start >= 0) {
                // record the insert if requested
                if (record_inserts) {
                    if (prev_aln_pos == (TSignedSeqPos)(aln_pos / width)  &&
                        start == (TSignedSeqPos)(plus ? prev_start + prev_len :
                                  prev_start - len)) {
                        // consolidate the adjacent inserts
                        ttl_len += len;
                        insert_lens->pop_back();
                        insert_lens->push_back(ttl_len);
                        if (!plus) {
                            insert_starts->pop_back();
                            insert_starts->push_back(start);
                        }
                    } else {
                        prev_aln_pos = aln_pos / width;
                        ttl_len = len;
                        insert_starts->push_back(start);
                        insert_aln_starts->push_back(prev_aln_pos);
                        insert_lens->push_back(len);
                    }
                    prev_start = start;
                    prev_len = len;
		}
            }
        } else {
            if (start >= 0) {
                stop = start + len - 1;

                // add regular sequence to buffer
                GetSeqString(buff, row, start, stop);
                TSeqPos buf_len = min<TSeqPos>(buff.size(), seg_len);
                buffer += buff;
                if (buf_len < seg_len) {
                    // Not enough chars in the sequence, add gap
                    buf_len = seg_len - buf_len;
                    char fill_ch;

                    if (seg < left_seg  ||  seg > right_seg) {
                        fill_ch = GetEndChar();
                    } else {
                        fill_ch = GetGapChar(row);
                    }

                    for (size_t i = 0; i < buf_len; ++i) {
                        buffer += fill_ch;
                    }
                }

                // take care of coords if necessary
                if (record_coords) {
                    if (scrn_lft_seq_pos < 0) {
                        scrn_lft_seq_pos = plus ? start : stop;
                        if (scrn_rgt_seq_pos < 0) {
                            scrn_rgt_seq_pos = scrn_lft_seq_pos;
                        }
                    }
                    // previous scrns
                    nscrns = (aln_pos - scrn_pos) / scrn_width;
                    for (int i = 0; i < nscrns; i++) {
                        scrn_lefts->push_back(scrn_lft_seq_pos);
                        scrn_rights->push_back(scrn_rgt_seq_pos);
                        if (i == 0) {
                            scrn_lft_seq_pos = plus ? start : stop;
                        }
                        scrn_pos += scrn_width;
                    }
                    if (nscrns > 0) {
                        scrn_lft_seq_pos = plus ? start : stop;
                    }
                    // current scrns
                    nscrns = (aln_pos + len - scrn_pos) / scrn_width;
                    curr_pos = aln_pos;
                    for (int i = 0; i < nscrns; i++) {
                        delta = (plus ?
                                 scrn_width - (curr_pos - scrn_pos) :
                                 curr_pos - scrn_pos - scrn_width);
                        
                        scrn_lefts->push_back(scrn_lft_seq_pos);
                        if (plus ?
                            scrn_lft_seq_pos < start :
                            scrn_lft_seq_pos > stop) {
                            scrn_lft_seq_pos = (plus ? start : stop) +
                                delta;
                            scrn_rgt_seq_pos = scrn_lft_seq_pos +
                                (plus ? -1 : 1);
                        } else {
                            scrn_rgt_seq_pos = scrn_lft_seq_pos + (plus ? -1 : 1)
                                + delta;
                            scrn_lft_seq_pos += delta;
                        }
                        if (seg == left_seg  &&
                            scrn_lft_seq_pos == scrn_rgt_seq_pos) {
                            if (plus) {
                                scrn_rgt_seq_pos--;
                            } else {
                                scrn_rgt_seq_pos++;
                            }
                        }
                        scrn_rights->push_back(scrn_rgt_seq_pos);
                        curr_pos = scrn_pos += scrn_width;
                    }
                    if (aln_pos + len <= scrn_pos) {
                        scrn_lft_seq_pos = -1; // reset
                    }
                    scrn_rgt_seq_pos = plus ? stop : start;
                }
            } else {
                // add appropriate number of gap/end chars
                
                char fill_ch;
                
                if (seg < left_seg  ||  seg > right_seg) {
                    fill_ch = GetEndChar();
                } else {
                    fill_ch = GetGapChar(row);
                }
                
                for (size_t i = 0; i < seg_len; ++i) {
                    buffer += fill_ch;
                }
            }
            aln_pos += len;
        }

    }

    // take care of the remaining coords if necessary
    if (record_coords) {
        // previous scrns
        TSeqPos pos_diff = aln_pos - scrn_pos;
        if (pos_diff > 0) {
            nscrns = pos_diff / scrn_width;
            if (pos_diff % scrn_width) {
                nscrns++;
            }
            for (int i = 0; i < nscrns; i++) {
                scrn_lefts->push_back(scrn_lft_seq_pos);
                scrn_rights->push_back(scrn_rgt_seq_pos);
                if (i == 0) {
                    scrn_lft_seq_pos = scrn_rgt_seq_pos;
                }
                scrn_pos += scrn_width;
            }
        }
    }
    return buffer;
}


//
// CreateConsensus()
//
// compute a consensus sequence given a particular alignment
// the rules for a consensus are:
//   - a segment is consensus gap if > 50% of the sequences are gap at this
//     segment.  50% exactly is counted as sequence
//   - for a segment counted as sequence, for each position, the most
//     frequently occurring base is counted as consensus.  in the case of
//     a tie, the consensus is considered muddied, and the consensus is
//     so marked
//
CRef<CDense_seg>
CAlnVec::CreateConsensus(int& consensus_row,
                         CBioseq& consensus_seq,
                         const CSeq_id& consensus_id,
                         vector<string>* consens) const
{
    consensus_seq.Reset();
    if ( !m_DS || m_NumRows < 1) {
        return CRef<CDense_seg>();
    }

    bool isNucleotide = GetBioseqHandle(0).IsNucleotide();

    size_t i;
    size_t j;

    // If the caller did not pass in consensus values, compute them now
    vector<string> c;
    if (consens == NULL) {              
        c.resize(m_NumSegs);
        CreateConsensus(c);
        consens = &c;
    }

    //
    // now, create a new CDense_seg
    // we create a new CBioseq for our data and
    // copy the contents of the CDense_seg
    //
    string data;
    TSignedSeqPos total_bases = 0;

    CRef<CDense_seg> new_ds(new CDense_seg());
    new_ds->SetDim(m_NumRows + 1);
    new_ds->SetNumseg(m_NumSegs);
    new_ds->SetLens() = m_Lens;
    new_ds->SetStarts().reserve(m_Starts.size() + m_NumSegs);
    if ( !m_Strands.empty() ) {
        new_ds->SetStrands().reserve(m_Strands.size() +
                                     m_NumSegs);
    }

    for (i = 0;  i < consens->size();  ++i) {
        // copy the old entries
        for (j = 0;  j < (size_t)m_NumRows;  ++j) {
            int idx = i * m_NumRows + j;
            new_ds->SetStarts().push_back(m_Starts[idx]);
            if ( !m_Strands.empty() ) {
                new_ds->SetStrands().push_back(m_Strands[idx]);
            }
        }

        // add our new entry
        // this places the consensus as the last sequence
        // it should preferably be the first, but this would mean adjusting
        // the bioseq handle and seqvector caches, and all row numbers would
        // shift
        if ((*consens)[i].length() != 0) {
            new_ds->SetStarts().push_back(total_bases);
        } else {
            new_ds->SetStarts().push_back(-1);
        }
        
        if ( !m_Strands.empty() ) {
            new_ds->SetStrands().push_back(eNa_strand_unknown);
        }

        total_bases += (*consens)[i].length();
        data += (*consens)[i];
    }

    // copy our IDs
    for (i = 0;  i < m_Ids.size();  ++i) {
        new_ds->SetIds().push_back(m_Ids[i]);
    }

    // now, we construct a new Bioseq
    {{

         // sequence ID
         CRef<CSeq_id> id(new CSeq_id());
         id->Assign(consensus_id);
         consensus_seq.SetId().push_back(id);

         new_ds->SetIds().push_back(id);

         // add a description for this sequence
         CSeq_descr& desc = consensus_seq.SetDescr();
         CRef<CSeqdesc> d(new CSeqdesc);
         desc.Set().push_back(d);
         d->SetComment("This is a generated consensus sequence");

         // the main one: Seq-inst
         CSeq_inst& inst = consensus_seq.SetInst();
         inst.SetRepr(CSeq_inst::eRepr_raw);
         inst.SetMol(isNucleotide ? CSeq_inst::eMol_na : CSeq_inst::eMol_aa);
         inst.SetLength(data.length());

         CSeq_data& seq_data = inst.SetSeq_data();
         if (isNucleotide) {
             CIUPACna& na = seq_data.SetIupacna();
             na = CIUPACna(data);
         } else {
             CIUPACaa& aa = seq_data.SetIupacaa();
             aa = CIUPACaa(data);
         }
    }}

    consensus_row = new_ds->GetIds().size() - 1;
    return new_ds;
}

void CAlnVec::TransposeSequences(vector<string>& segs)
{
    char* buf = NULL;
    size_t cols = 0;
    size_t rows = segs.size();
    size_t gap_rows = 0;
    for (size_t row = 0; row < rows; ++row) {
        const string& s = segs[row];
        if (s.empty()) {
            ++gap_rows;
            continue;
        }
        if (cols == 0) {
            cols = s.size();
            buf = new char[(rows+1)*(cols+1)];
        }
        const char* src = s.c_str();
        char* dst = buf+(row-gap_rows);
        while ((*dst = *src++)) {
            dst += rows+1;
        }
    }
    segs.clear();
    for (size_t col = 0; col < cols; ++col) {
        char* col_buf = buf + col*(rows+1);
        *(col_buf+(rows-gap_rows)) = 0;
        segs.push_back(string(col_buf));
    }
    delete[] buf;
}

void CAlnVec::CollectNucleotideFrequences(const string& col, int base_count[], int numBases)
{
    // first, we record which bases occur and how often
    // this is computed in NCBI4na notation
    fill_n(base_count, numBases, 0);
    
    const char* i = col.c_str();
    unsigned char c;
    while ((c = *i++)) {
        switch(c) {
        case 'A':
            ++base_count[0];
            break;
        case 'C':
            ++base_count[1];
            break;
        case 'M':
            ++base_count[1];
            ++base_count[0];
            break;
        case 'G':
            ++base_count[2];
            break;
        case'R':
            ++base_count[2];
            ++base_count[0];
            break;
        case 'S':
            ++base_count[2];
            ++base_count[1];
            break;
        case 'V':
            ++base_count[2];
            ++base_count[1];
            ++base_count[0];
            break;
        case 'T':
            ++base_count[3];
            break;
        case 'W':
            ++base_count[3];
            ++base_count[0];
            break;
        case 'Y':
            ++base_count[3];
            ++base_count[1];
            break;
        case 'H':
            ++base_count[3];
            ++base_count[1];
            ++base_count[0];
            break;
        case 'K':
            ++base_count[3];
            ++base_count[2];
            break;
        case 'D':
            ++base_count[3];
            ++base_count[2];
            ++base_count[0];
            break;
        case 'B':
            ++base_count[3];
            ++base_count[2];
            ++base_count[1];
            break;
        case 'N':
            ++base_count[3];
            ++base_count[2];
            ++base_count[1];
            ++base_count[0];
            break;
        default:
            break;
        }
    }
}

void CAlnVec::CollectProteinFrequences(const string& col, int base_count[], int numBases)
{
    // first, we record which bases occur and how often
    // this is computed in NCBI4na notation
    fill_n(base_count, numBases, 0);
    
    const char* i = col.c_str();
    char c;
    while ((c = *i++)) {
        int pos = c-'A';
        if (0<=pos && pos < numBases)
            ++base_count[ pos ];
    }
}

void CAlnVec::CreateConsensus(vector<string>& consens) const
{
    bool isNucleotide = GetBioseqHandle(0).IsNucleotide();

    const int numBases = isNucleotide ? 4 : 26;

    int base_count[26]; // must be a compile-time constant for some compilers

    // determine what the number of segments required for a gapped consensus
    // segment is.  this must be rounded to be at least 50%.
    int gap_seg_thresh = m_NumRows - m_NumRows / 2;

    for (size_t j = 0;  j < (size_t)m_NumSegs;  ++j) {
        // evaluate for gap / no gap
        int gap_count = 0;
        for (size_t i = 0;  i < (size_t)m_NumRows;  ++i) {
            if (m_Starts[ j*m_NumRows + i ] == -1) {
                ++gap_count;
            }
        }

        // check to make sure that this seg is not a consensus
        // gap seg
        if ( gap_count > gap_seg_thresh )
            continue;

        // the base threshold for being considered unique is at least
        // 70% of the available sequences
        int base_thresh =
            ((m_NumRows - gap_count) * 7 + 5) / 10;

        {
            // we will build a segment with enough bases to match
            consens[j].resize(m_Lens[j]);

            // retrieve all sequences for this segment
            vector<string> segs(m_NumRows);
            RetrieveSegmentSequences(j, segs);
            TransposeSequences(segs);

            typedef multimap<int, unsigned char, greater<int> > TRevMap;

            // 
            // evaluate for a consensus
            //
            for (size_t i = 0;  i < m_Lens[j];  ++i) {
                if (isNucleotide) {
                    CollectNucleotideFrequences(segs[i], base_count, numBases);
                } else {
                    CollectProteinFrequences(segs[i], base_count, numBases);
                }


                // we create a sorted list (in descending order) of
                // frequencies of appearance to base
                // the frequency is "global" for this position: that is,
                // if 40% of the sequences are gapped, the highest frequency
                // any base can have is 0.6
                TRevMap rev_map;

                for (int k = 0;  k < numBases;  ++k) {
                    // this gets around a potentially tricky idiosyncrasy
                    // in some implementations of multimap.  depending on
                    // the library, the key may be const (or not)
                    TRevMap::value_type p(base_count[k], isNucleotide ? (1<<k) : k);
                    rev_map.insert(p);
                }

                // now, the first element here contains the best frequency
                // we scan for the appropriate bases
                if (rev_map.count(rev_map.begin()->first) == 1 &&
                    rev_map.begin()->first >= base_thresh) {
                        consens[j][i] = isNucleotide ?
                            ToIupac(rev_map.begin()->second) :
                            (rev_map.begin()->second+'A');
                } else {
                    // now we need to make some guesses based on IUPACna
                    // notation
                    int               count;
                    unsigned char     c    = 0x00;
                    int               freq = 0;
                    TRevMap::iterator curr = rev_map.begin();
                    TRevMap::iterator prev = rev_map.begin();
                    for (count = 0;
                         curr != rev_map.end() &&
                         (freq < base_thresh || prev->first == curr->first);
                         ++curr, ++count) {
                        prev = curr;
                        freq += curr->first;
                        if (isNucleotide) {
                            c |= curr->second;
                        } else {
                            unsigned char cur_char = curr->second+'A';
                            switch (c) {
                                case 0x00:
                                    c = cur_char;
                                    break;
                                case 'N': case 'D':
                                    c = (cur_char == 'N' || cur_char == 'D') ? 'B' : 'X';
                                    break;
                                case 'Q': case 'E':
                                    c = (cur_char == 'Q' || cur_char == 'E') ? 'Z' : 'X';
                                    break;
                                case 'I': case 'L':
                                    c = (cur_char == 'I' || cur_char == 'L') ? 'J' : 'X';
                                    break;
                                default:
                                    c = 'X';
                            }
                        }
                    }

                    //
                    // catchall
                    //
                    if (count > 2) {
                        consens[j][i] = isNucleotide ? 'N' : 'X';
                    } else {
                        consens[j][i] = isNucleotide ? ToIupac(c) : c;
                    }
                }
            }
        }
    }
}

void CAlnVec::RetrieveSegmentSequences(size_t segment, vector<string>& segs) const
{
    int segment_row_index = segment*m_NumRows;
    for (size_t i = 0;  i < (size_t)m_NumRows;  ++i, ++segment_row_index) {
        TSignedSeqPos start = m_Starts[ segment_row_index ];
        if (start != -1) {
            TSeqPos stop  = start + m_Lens[segment];
            
            string& s = segs[i];

            if (IsPositiveStrand(i)) {
                x_GetSeqVector(i).GetSeqData(start, stop, s);
            } else {
                CSeqVector &  seq_vec = x_GetSeqVector(i);
                TSeqPos size = seq_vec.size();
                seq_vec.GetSeqData(size - stop, size - start, s);
            }
        }
        else {
            segs[i].clear();
        }
    }
}

CRef<CDense_seg> CAlnVec::CreateConsensus(int& consensus_row,
                                          const CSeq_id& consensus_id) const
{
    CRef<CBioseq> bioseq(new CBioseq);
    CRef<CDense_seg> ds = CreateConsensus(consensus_row,
                                          *bioseq, consensus_id);

    // add bioseq to the scope
    CRef<CSeq_entry> entry(new CSeq_entry());
    entry->SetSeq(*bioseq);
    GetScope().AddTopLevelSeqEntry(*entry);

    return ds;
}


CRef<CDense_seg> CAlnVec::CreateConsensus(int& consensus_row) const
{
    CSeq_id id("lcl|consensus");
    return CreateConsensus(consensus_row, id);
}


static SNCBIFullScoreMatrix s_FullScoreMatrix;

int CAlnVec::CalculateScore(const string& s1, const string& s2,
                            bool s1_is_prot, bool s2_is_prot,
                            int gen_code1, int gen_code2)
{
    // check the lengths
    if (s1_is_prot == s2_is_prot  &&  s1.length() != s2.length()) {
        NCBI_THROW(CAlnException, eInvalidRequest,
                   "CAlnVec::CalculateScore(): "
                   "Strings should have equal lenghts.");
    } else if (s1.length() * (s1_is_prot ? 1 : 3) !=
               s2.length() * (s2_is_prot ? 1 : 3)) {
        NCBI_THROW(CAlnException, eInvalidRequest,
                   "CAlnVec::CalculateScore(): "
                   "Strings lengths do not match.");
    }        

    int score = 0;

    const unsigned char * res1 = (unsigned char *) s1.c_str();
    const unsigned char * res2 = (unsigned char *) s2.c_str();
    const unsigned char * end1 = res1 + s1.length();
    const unsigned char * end2 = res2 + s2.length();
    
    static bool s_FullScoreMatrixInitialized = false;
    if (s1_is_prot  &&  s2_is_prot) {
        if ( !s_FullScoreMatrixInitialized ) {
            s_FullScoreMatrixInitialized = true;
            NCBISM_Unpack(&NCBISM_Blosum62, &s_FullScoreMatrix);
        }
        
        // use BLOSUM62 matrix
        for ( ;  res1 != end1;  res1++, res2++) {
            _ASSERT(*res1 < NCBI_FSM_DIM);
            _ASSERT(*res2 < NCBI_FSM_DIM);
            score += s_FullScoreMatrix.s[*res1][*res2];
        }
    } else if ( !s1_is_prot  &&  !s2_is_prot ) {
        // use match score/mismatch penalty
        for ( ; res1 != end1;  res1++, res2++) {
            if (*res1 == *res2) {
                score += 1;
            } else {
                score -= 3;
            }
        }
    } else {
        string t;
        if (s1_is_prot) {
            TranslateNAToAA(s2, t, gen_code2);
            for ( ;  res1 != end1;  res1++, res2++) {
                _ASSERT(*res1 < NCBI_FSM_DIM);
                _ASSERT(*res2 < NCBI_FSM_DIM);
                score += s_FullScoreMatrix.s[*res1][*res2];
            }
        } else {
            TranslateNAToAA(s1, t, gen_code1);
            for ( ;  res2 != end2;  res1++, res2++) {
                _ASSERT(*res1 < NCBI_FSM_DIM);
                _ASSERT(*res2 < NCBI_FSM_DIM);
                score += s_FullScoreMatrix.s[*res1][*res2];
            }
        }
    }
    return score;
}


void CAlnVec::TranslateNAToAA(const string& na,
                              string& aa,
                              int gencode)
{
    if (na.size() % 3) {
        NCBI_THROW(CAlnException, eTranslateFailure,
                   "CAlnVec::TranslateNAToAA(): "
                   "NA size expected to be divisible by 3");
    }

    const CTrans_table& tbl = CGen_code_table::GetTransTable(gencode);

    size_t na_size = na.size();

    if (&aa != &na) {
        aa.resize(na_size / 3);
    }

    int state = 0;
    size_t aa_i = 0;
    for (size_t na_i = 0; na_i < na_size; ) {
        for (size_t i = 0; i < 3; i++) {
            state = tbl.NextCodonState(state, na[na_i++]);
        }
        aa[aa_i++] = tbl.GetCodonResidue(state);
    }

    if (&aa == &na) {
        aa.resize(aa_i);
    }
}


int CAlnVec::CalculateScore(TNumrow row1, TNumrow row2) const
{
    TNumrow       numrows = m_NumRows;
    TNumrow       index1 = row1, index2 = row2;
    TSignedSeqPos start1, start2;
    string        buff1, buff2;
    bool          isAA1, isAA2;
    int           score = 0;
    TSeqPos       len;
    
    isAA1 = GetBioseqHandle(row1).GetBioseqCore()
        ->GetInst().GetMol() == CSeq_inst::eMol_aa;

    isAA2 = GetBioseqHandle(row2).GetBioseqCore()
        ->GetInst().GetMol() == CSeq_inst::eMol_aa;

    CSeqVector&   seq_vec1 = x_GetSeqVector(row1);
    TSeqPos       size1    = seq_vec1.size();
    CSeqVector &  seq_vec2 = x_GetSeqVector(row2);
    TSeqPos       size2    = seq_vec2.size();

    for (TNumseg seg = 0; seg < m_NumSegs; seg++) {
        start1 = m_Starts[index1];
        start2 = m_Starts[index2];

        if (start1 >=0  &&  start2 >= 0) {
            len = m_Lens[seg];

            if (IsPositiveStrand(row1)) {
                seq_vec1.GetSeqData(start1,
                                    start1 + len,
                                    buff1);
            } else {
                seq_vec1.GetSeqData(size1 - (start1 + len),
                                    size1 - start1,
                                    buff1);
            }
            if (IsPositiveStrand(row2)) {
                seq_vec2.GetSeqData(start2,
                                    start2 + len,
                                    buff2);
            } else {
                seq_vec2.GetSeqData(size2 - (start2 + len),
                                    size2 - start2,
                                    buff2);
            }
            score += CalculateScore(buff1, buff2, isAA1, isAA2,
                GetGenCode(row1), GetGenCode(row2));
        }

        index1 += numrows;
        index2 += numrows;
    }
    return score;
}


string& CAlnVec::GetColumnVector(string& buffer,
                                 TSeqPos aln_pos,
                                 TResidueCount * residue_count,
                                 bool gaps_in_count) const
{
    buffer.resize(GetNumRows(), GetEndChar());
    if (aln_pos > GetAlnStop()) {
        aln_pos = GetAlnStop(); // out-of-range adjustment
    }
    TNumseg seg   = GetSeg(aln_pos);
    TSeqPos delta = aln_pos - GetAlnStart(seg);
    TSeqPos len   = GetLen(seg);

    TSignedSeqPos pos;

    for (TNumrow row = 0; row < m_NumRows; row++) {
        pos = GetStart(row, seg);
        if (pos >= 0) {
            // it's a sequence residue

            bool plus = IsPositiveStrand(row);
            if (plus) {
                pos += delta;
            } else {
                pos += len - 1 - delta;
            }
            
            CSeqVector& seq_vec = x_GetSeqVector(row);
            if (GetWidth(row) == 3) {
                string na_buff, aa_buff;
                if (plus) {
                    seq_vec.GetSeqData(pos, pos + 3, na_buff);
                } else {
                    TSeqPos size = seq_vec.size();
                    seq_vec.GetSeqData(size - pos - 3, size - pos, na_buff);
                }
                TranslateNAToAA(na_buff, aa_buff, GetGenCode(row));
                buffer[row] = aa_buff[0];
            } else {
                buffer[row] = seq_vec[plus ? pos : seq_vec.size() - pos - 1];
            }

            if (residue_count) {
                (*residue_count)[FromIupac(buffer[row])]++;
            }

        } else {
            // it's a gap or endchar
            
            if (GetEndChar() != (buffer[row] = GetGapChar(row))) {
                // need to check the where the segment is
                // only if endchar != gap
                // this saves a check if there're the same
                TSegTypeFlags type = GetSegType(row, seg);
                if (type & fNoSeqOnLeft  ||  type & fNoSeqOnRight) {
                    buffer[row] = GetEndChar();
                }
            }

            if (gaps_in_count  &&  residue_count) {
                (*residue_count)[FromIupac(buffer[row])]++;
            }
        }
    } // for row

    return buffer;
}

int CAlnVec::CalculatePercentIdentity(TSeqPos aln_pos) const
{
    string column;
    column.resize(m_NumRows);

    TResidueCount residue_cnt;
    residue_cnt.resize(16, 0);

    GetColumnVector(column, aln_pos, &residue_cnt);
    
    int max = 0, total = 0;
    ITERATE (TResidueCount, i_res, residue_cnt) {
        if (*i_res > max) {
            max = *i_res;
        }
        total += *i_res;
    }
    if (total) {
        return 100 * max / total;
    }
    else {
        return 0;
    }
}


END_objects_SCOPE // namespace ncbi::objects::
END_NCBI_SCOPE
