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/*
This file is part of khmer, https://github.com/dib-lab/khmer/, and is
Copyright (C) 2015-2016, The Regents of the University of California.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:

    * Redistributions of source code must retain the above copyright
      notice, this list of conditions and the following disclaimer.

    * Redistributions in binary form must reproduce the above
      copyright notice, this list of conditions and the following
      disclaimer in the documentation and/or other materials provided
      with the distribution.

    * Neither the name of the Michigan State University nor the names
      of its contributors may be used to endorse or promote products
      derived from this software without specific prior written
      permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
LICENSE (END)

Contact: khmer-project@idyll.org
*/
#ifndef ASSEMBLER_HH
#define ASSEMBLER_HH

#include <functional>

#include "oxli.hh"
#include "kmer_hash.hh"
#include "hashgraph.hh"
#include "kmer_filters.hh"
#include "traversal.hh"
#include "labelhash.hh"


namespace oxli
{

class Hashgraph;
class LabelHash;

/**
 * \class LinearAssembler
 *
 * \brief Naively assemble linear paths.
 *
 * The LinearAssember is the basic building block of general assembly.
 * The core function, _assemble_directed, takes a direction and branch-specialiazed
 * AssemblerTraverser and gathers a contig up until any branch points. The behavior
 * of this function can be modified by passing it a cursor with varying
 * filtering functions.
 *
 * The assemble, assemble_right, and assemble_left functions are for convenience.
 * They take care of building the filters and creating the contig strings.
 *
 * \author Camille Scott
 *
 * Contact: camille.scott.w@gmail.com
 *
 */
class LinearAssembler
{
public:

    WordLength _ksize;
    const Hashgraph * graph;

    explicit LinearAssembler(const Hashgraph * ht);

    virtual std::string assemble(const Kmer seed_kmer,
                                 const Hashgraph * stop_bf = 0) const;

    virtual std::string assemble_right(const Kmer seed_kmer,
                                       const Hashgraph * stop_bf = 0) const;

    virtual std::string assemble_left(const Kmer seed_kmer,
                                      const Hashgraph * stop_bf = 0) const;

    template <bool direction>
    std::string _assemble_directed(AssemblerTraverser<direction>& cursor) const;
};

// The explicit specializations need to be declared in the same translation unit
// as their unspecialized declaration.
template<>
std::string LinearAssembler::_assemble_directed<TRAVERSAL_LEFT>(AssemblerTraverser<TRAVERSAL_LEFT>
        &cursor) const;

template<>
std::string LinearAssembler::_assemble_directed<TRAVERSAL_RIGHT>(AssemblerTraverser<TRAVERSAL_RIGHT>
        &cursor) const;


/**
 * \class SimpleLabeledAssembler
 *
 * \brief Assemble linear paths using labels to span high degree nodes.
 *
 * Shares a common API (namely, the assemble and templated _assemble_directed functions) with
 * LinearAssembler, though does not inherit. High degree nodes (nodes with degree > 2) are spanned
 * using labeling formation: if there is a matching label on two sides of the HDN, we can keep
 * traverse across. Internally, this is performed by pushing a new filter to search for the label on to
 * the Traverser's filter stack and popping it on the other side of the HDN. This implementation also
 * does a simple check to guess whether a branch is an error: if the HDN has label coverage great than 5, and
 * the branch has only a single label spanning, it is guessed to be a tip and ignored.
 *
 * \author Camille Scott
 *
 * Contact: camille.scott.w@gmail.com
 *
 */
class SimpleLabeledAssembler
{
    const LinearAssembler * linear_asm;

public:

    const Hashgraph * graph;
    const LabelHash * lh;
    WordLength _ksize;

    explicit SimpleLabeledAssembler(const LabelHash * lh);
    ~SimpleLabeledAssembler();

    StringVector assemble(const Kmer seed_kmer,
                          const Hashgraph * stop_bf=0) const;

    template <bool direction>
    void _assemble_directed(AssemblerTraverser<direction>& start_cursor,
                            StringVector& paths) const;

};


class JunctionCountAssembler
{
    LinearAssembler linear_asm;
    Countgraph * junctions;
    Traverser traverser;

public:

    Hashgraph * graph;
    WordLength _ksize;

    explicit JunctionCountAssembler(Hashgraph * ht);
    ~JunctionCountAssembler();


    StringVector assemble(const Kmer seed_kmer,
                          const Hashtable * stop_bf=0) const;

    uint16_t consume(std::string sequence);
    void count_junction(Kmer kmer_a, Kmer kmer_b);
    BoundedCounterType get_junction_count(Kmer kmer_a, Kmer kmer_b) const;

    template <bool direction>
    void _assemble_directed(AssemblerTraverser<direction>& start_cursor,
                            StringVector& paths) const;

};
} //namespace oxli
#endif