alignment_algorithm.hpp

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// -----------------------------------------------------------------------------------------------------
// Copyright (c) 2006-2020, Knut Reinert & Freie Universität Berlin
// Copyright (c) 2016-2020, Knut Reinert & MPI für molekulare Genetik
// This file may be used, modified and/or redistributed under the terms of the 3-clause BSD-License
// shipped with this file and also available at: https://github.com/seqan/seqan3/blob/master/LICENSE.md
// -----------------------------------------------------------------------------------------------------
 
#pragma once
 
#include <memory>
#include <optional>
#include <type_traits>
 
#include <seqan3/alignment/configuration/align_config_band.hpp>
#include <seqan3/alignment/configuration/align_config_scoring.hpp>
#include <seqan3/alignment/configuration/align_config_result.hpp>
#include <seqan3/alignment/exception.hpp>
#include <seqan3/alignment/matrix/trace_directions.hpp>
#include <seqan3/alignment/pairwise/align_result_selector.hpp>
#include <seqan3/alignment/pairwise/detail/concept.hpp>
#include <seqan3/alignment/pairwise/detail/type_traits.hpp>
#include <seqan3/alignment/matrix/detail/aligned_sequence_builder.hpp>
 
#include <seqan3/core/detail/empty_type.hpp>
#include <seqan3/core/simd/concept.hpp>
#include <seqan3/core/simd/simd.hpp>
#include <seqan3/core/simd/simd_traits.hpp>
#include <seqan3/core/simd/view_to_simd.hpp>
#include <seqan3/core/type_traits/deferred_crtp_base.hpp>
#include <seqan3/range/container/aligned_allocator.hpp>
#include <seqan3/range/views/drop.hpp>
#include <seqan3/range/views/get.hpp>
#include <seqan3/range/views/take.hpp>
#include <seqan3/std/iterator>
#include <seqan3/std/ranges>
 
namespace seqan3::detail
{
 
template <typename config_t, typename ...algorithm_policies_t>
class alignment_algorithm :
    public invoke_deferred_crtp_base<algorithm_policies_t, alignment_algorithm<config_t, algorithm_policies_t...>>...
{
private:
 
    using traits_t = alignment_configuration_traits<config_t>;
    using alignment_column_t = decltype(std::declval<alignment_algorithm>().current_alignment_column());
    using alignment_column_iterator_t = std::ranges::iterator_t<alignment_column_t>;
 
    using score_debug_matrix_t =
        std::conditional_t<traits_t::is_debug,
                           two_dimensional_matrix<std::optional<typename traits_t::original_score_t>,
                                                  std::allocator<std::optional<typename traits_t::original_score_t>>,
                                                  matrix_major_order::column>,
                           empty_type>;
    using trace_debug_matrix_t =
        std::conditional_t<traits_t::is_debug,
                           two_dimensional_matrix<std::optional<trace_directions>,
                                                  std::allocator<std::optional<trace_directions>>,
                                                  matrix_major_order::column>,
                           empty_type>;
 
public:
    constexpr alignment_algorithm()                                        = default; 
    constexpr alignment_algorithm(alignment_algorithm const &)             = default; 
    constexpr alignment_algorithm(alignment_algorithm &&)                  = default; 
    constexpr alignment_algorithm & operator=(alignment_algorithm const &) = default; 
    constexpr alignment_algorithm & operator=(alignment_algorithm &&)      = default; 
    ~alignment_algorithm()                                                 = default; 
 
    explicit constexpr alignment_algorithm(config_t const & cfg) : cfg_ptr{std::make_shared<config_t>(cfg)}
    {
        this->scoring_scheme = seqan3::get<align_cfg::scoring>(*cfg_ptr).value;
        this->initialise_alignment_state(*cfg_ptr);
    }
 
    template <indexed_sequence_pair_range indexed_sequence_pairs_t>
        requires !traits_t::is_vectorised
    auto operator()(indexed_sequence_pairs_t && indexed_sequence_pairs)
    {
        using sequence_pairs_t = std::tuple_element_t<0, std::ranges::range_value_t<indexed_sequence_pairs_t>>;
        using sequence1_t = std::tuple_element_t<0, sequence_pairs_t>;
        using sequence2_t = std::tuple_element_t<1, sequence_pairs_t>;
        using result_t = typename align_result_selector<sequence1_t, sequence2_t, config_t>::type;
 
        using std::get;
 
        std::vector<alignment_result<result_t>> results{};
        for (auto && [sequence_pair, idx] : indexed_sequence_pairs)
            results.emplace_back(compute_single_pair(idx, get<0>(sequence_pair), get<1>(sequence_pair)));
 
        return results;
    }
 
    template <indexed_sequence_pair_range indexed_sequence_pairs_t>
    auto operator()(indexed_sequence_pairs_t && indexed_sequence_pairs)
        requires traits_t::is_vectorised
    {
        assert(cfg_ptr != nullptr);
 
        static_assert(simd_concept<typename traits_t::score_t>, "Expected simd score type.");
        static_assert(simd_concept<typename traits_t::trace_t>, "Expected simd trace type.");
 
        // Extract the batch of sequences for the first and the second sequence.
        auto sequence1_range = indexed_sequence_pairs | views::get<0> | views::get<0>;
        auto sequence2_range = indexed_sequence_pairs | views::get<0> | views::get<1>;
 
        // Initialise the find_optimum policy in the simd case.
        this->initialise_find_optimum_policy(sequence1_range,
                                             sequence2_range,
                                             this->scoring_scheme.padding_match_score());
 
        // Convert batch of sequences to sequence of simd vectors.
        auto simd_sequences1 = convert_batch_of_sequences_to_simd_vector(sequence1_range);
        auto simd_sequences2 = convert_batch_of_sequences_to_simd_vector(sequence2_range);
 
        max_size_in_collection = std::pair{simd_sequences1.size(), simd_sequences2.size()};
        // Reset the alignment state's optimum between executions of the alignment algorithm.
        this->alignment_state.reset_optimum();
 
        compute_matrix(simd_sequences1, simd_sequences2);
 
        return make_alignment_result(indexed_sequence_pairs);
    }
 
private:
    template <typename sequence_range_t>
    constexpr auto convert_batch_of_sequences_to_simd_vector(sequence_range_t & sequences)
    {
        assert(static_cast<size_t>(std::ranges::distance(sequences)) <= traits_t::alignments_per_vector);
 
        using simd_score_t = typename traits_t::score_t;
 
        std::vector<simd_score_t, aligned_allocator<simd_score_t, alignof(simd_score_t)>> simd_sequence{};
 
        for (auto && simd_vector_chunk : sequences | views::to_simd<simd_score_t>(traits_t::padding_symbol))
            for (auto && simd_vector : simd_vector_chunk)
                simd_sequence.push_back(std::move(simd_vector));
 
        return simd_sequence;
    }
 
    template <std::ranges::forward_range sequence1_t, std::ranges::forward_range sequence2_t>
    constexpr auto compute_single_pair(size_t const idx, sequence1_t && sequence1, sequence2_t && sequence2)
    {
        assert(cfg_ptr != nullptr);
 
        if constexpr (traits_t::is_debug)
            initialise_debug_matrices(sequence1, sequence2);
 
        // Reset the alignment state's optimum between executions of the alignment algorithm.
        this->alignment_state.reset_optimum();
 
        if constexpr (traits_t::is_banded)
        {
            // Get the band and check if band configuration is valid.
            auto const & band = seqan3::get<align_cfg::band>(*cfg_ptr).value;
            check_valid_band_parameter(sequence1, sequence2, band);
            auto && [subsequence1, subsequence2] = this->slice_sequences(sequence1, sequence2, band);
            // It would be great to use this interface here instead
            compute_matrix(subsequence1, subsequence2, band);
            return make_alignment_result(idx, subsequence1, subsequence2);
        }
        else
        {
            compute_matrix(sequence1, sequence2);
            return make_alignment_result(idx, sequence1, sequence2);
        }
    }
 
    template <typename sequence1_t, typename sequence2_t>
    constexpr void check_valid_band_parameter(sequence1_t && sequence1,
                                              sequence2_t && sequence2,
                                              static_band const & band)
    {
        static_assert(config_t::template exists<align_cfg::band>(),
                      "The band configuration is required for the banded alignment algorithm.");
 
        using diff_type = std::iter_difference_t<std::ranges::iterator_t<sequence1_t>>;
        static_assert(std::is_signed_v<diff_type>,  "Only signed types can be used to test the band parameters.");
 
        if (static_cast<diff_type>(band.lower_bound) > std::ranges::distance(sequence1))
        {
            throw invalid_alignment_configuration
            {
                "Invalid band error: The lower bound excludes the whole alignment matrix."
            };
        }
 
        if (static_cast<diff_type>(band.upper_bound) < -std::ranges::distance(sequence2))
        {
            throw invalid_alignment_configuration
            {
                "Invalid band error: The upper bound excludes the whole alignment matrix."
            };
        }
    }
 
    template <typename sequence1_t, typename sequence2_t>
    constexpr void initialise_debug_matrices(sequence1_t & sequence1, sequence2_t & sequence2)
    {
        size_t rows = std::ranges::distance(sequence2) + 1;
        size_t cols = std::ranges::distance(sequence1) + 1;
 
        score_debug_matrix = score_debug_matrix_t{number_rows{rows}, number_cols{cols}};
        trace_debug_matrix = trace_debug_matrix_t{number_rows{rows}, number_cols{cols}};
    }
 
    template <typename sequence1_t, typename sequence2_t>
    void compute_matrix(sequence1_t & sequence1, sequence2_t & sequence2)
        requires !traits_t::is_banded
    {
        // ----------------------------------------------------------------------------
        // Initialisation phase: allocate memory and initialise first column.
        // ----------------------------------------------------------------------------
 
        this->allocate_matrix(sequence1, sequence2);
        initialise_first_alignment_column(sequence2);
 
        // ----------------------------------------------------------------------------
        // Recursion phase: compute column-wise the alignment matrix.
        // ----------------------------------------------------------------------------
 
        for (auto const & seq1_value : sequence1)
        {
            compute_alignment_column<true>(seq1_value, sequence2);
            finalise_last_cell_in_column(true);
        }
 
        // ----------------------------------------------------------------------------
        // Wrap up phase: track score in last column and prepare the alignment result.
        // ----------------------------------------------------------------------------
 
        finalise_alignment();
    }
 
    template <typename sequence1_t, typename sequence2_t>
    void compute_matrix(sequence1_t & sequence1, sequence2_t & sequence2, static_band const & band)
        requires traits_t::is_banded
    {
        // ----------------------------------------------------------------------------
        // Initialisation phase: allocate memory and initialise first column.
        // ----------------------------------------------------------------------------
 
        // Allocate and initialise first column.
        this->allocate_matrix(sequence1, sequence2, band, this->alignment_state);
        size_t last_row_index = this->score_matrix.band_row_index;
        initialise_first_alignment_column(sequence2 | views::take(last_row_index));
 
        // ----------------------------------------------------------------------------
        // 1st recursion phase: iterate as long as the band intersects with the first row.
        // ----------------------------------------------------------------------------
 
        size_t sequence2_size = std::ranges::distance(sequence2);
        for (auto const & seq1_value : sequence1 | views::take(this->score_matrix.band_col_index))
        {
            compute_alignment_column<true>(seq1_value, sequence2 | views::take(++last_row_index));
            // Only if band reached last row of matrix the last cell might be tracked.
            finalise_last_cell_in_column(last_row_index >= sequence2_size);
        }
 
        // ----------------------------------------------------------------------------
        // 2nd recursion phase: iterate until the end of the matrix.
        // ----------------------------------------------------------------------------
 
        size_t first_row_index = 0;
        for (auto const & seq1_value : sequence1 | views::drop(this->score_matrix.band_col_index))
        {
            // In the second phase the band moves in every column one base down on the second sequence.
            compute_alignment_column<false>(seq1_value, sequence2 | views::slice(first_row_index++, ++last_row_index));
            // Only if band reached last row of matrix the last cell might be tracked.
            finalise_last_cell_in_column(last_row_index >= sequence2_size);
        }
 
        // ----------------------------------------------------------------------------
        // Wrap up phase: track score in last column and prepare the alignment result.
        // ----------------------------------------------------------------------------
 
        finalise_alignment();
    }
 
    template <typename sequence2_t>
    auto initialise_first_alignment_column(sequence2_t && sequence2)
    {
        // Get the initial column.
        alignment_column = this->current_alignment_column();
        assert(!alignment_column.empty()); // Must contain at least one element.
 
        // Initialise first cell.
        alignment_column_it = alignment_column.begin();
        this->init_origin_cell(*alignment_column_it, this->alignment_state);
 
        // Initialise the remaining cells of this column.
        for (auto it = std::ranges::begin(sequence2); it != std::ranges::end(sequence2); ++it)
            this->init_column_cell(*++alignment_column_it, this->alignment_state);
 
        // Finalise the last cell of the initial column.
        bool at_last_row = true;
        if constexpr (traits_t::is_banded) // If the band reaches until the last row of the matrix.
            at_last_row = static_cast<size_t>(this->score_matrix.band_row_index) == this->score_matrix.num_rows - 1;
 
        finalise_last_cell_in_column(at_last_row);
    }
 
    template <bool initialise_first_cell, typename sequence1_value_t, typename sequence2_t>
    void compute_alignment_column(sequence1_value_t const & seq1_value, sequence2_t && sequence2)
    {
        this->next_alignment_column();  // move to next column and set alignment column iterator accordingly.
        alignment_column = this->current_alignment_column();
        alignment_column_it = alignment_column.begin();
 
        auto seq2_it = std::ranges::begin(sequence2);
 
        if constexpr (initialise_first_cell) // Initialise first cell if it intersects with the first row of the matrix.
        {
            this->init_row_cell(*alignment_column_it, this->alignment_state);
        }
        else // Compute first cell of banded column if it does not intersect with the first row of the matrix.
        {
            this->compute_first_band_cell(*alignment_column_it,
                                          this->alignment_state,
                                          this->scoring_scheme.score(seq1_value, *seq2_it));
            ++seq2_it;
        }
 
        for (; seq2_it != std::ranges::end(sequence2); ++seq2_it)
            this->compute_cell(*++alignment_column_it,
                               this->alignment_state,
                               this->scoring_scheme.score(seq1_value, *seq2_it));
    }
 
    constexpr void finalise_last_cell_in_column(bool const at_last_row) noexcept
    {
        if (at_last_row)
            this->check_score_of_last_row_cell(*alignment_column_it, this->alignment_state);
 
        if constexpr (traits_t::is_debug)
            dump_alignment_column();
    }
 
    constexpr void finalise_alignment() noexcept
    {
        // ----------------------------------------------------------------------------
        // Check for the optimum in last cell/column.
        // ----------------------------------------------------------------------------
 
        this->check_score_of_cells_in_last_column(alignment_column, this->alignment_state);
        this->check_score_of_last_cell(*alignment_column_it, this->alignment_state);
    }
 
    template <typename index_t, typename sequence1_t, typename sequence2_t>
        requires !traits_t::is_vectorised
    constexpr auto make_alignment_result(index_t const idx,
                                         sequence1_t & sequence1,
                                         sequence2_t & sequence2)
    {
        // ----------------------------------------------------------------------------
        // Build the alignment result
        // ----------------------------------------------------------------------------
 
        static_assert(config_t::template exists<align_cfg::result>(),
                      "The configuration must contain an align_cfg::result element.");
 
        using result_value_t = typename align_result_selector<sequence1_t, sequence2_t, config_t>::type;
        result_value_t res{};
 
        res.id = idx;
 
        // Choose what needs to be computed.
        if constexpr (traits_t::result_type_rank >= 0)  // compute score
            res.score = this->alignment_state.optimum.score;
 
        if constexpr (traits_t::result_type_rank >= 1)  // compute back coordinate
        {
            res.back_coordinate = alignment_coordinate{column_index_type{this->alignment_state.optimum.column_index},
                                                       row_index_type{this->alignment_state.optimum.row_index}};
            // At some point this needs to be refactored so that it is not necessary to adapt the coordinate.
            if constexpr (traits_t::is_banded)
                res.back_coordinate.second += res.back_coordinate.first - this->trace_matrix.band_col_index;
        }
 
        if constexpr (traits_t::result_type_rank >= 2) // compute front coordinate
        {
            // Get a aligned sequence builder for banded or un-banded case.
            aligned_sequence_builder builder{sequence1, sequence2};
            auto optimum_coordinate = alignment_coordinate{column_index_type{this->alignment_state.optimum.column_index},
                                                           row_index_type{this->alignment_state.optimum.row_index}};
            auto trace_res = builder(this->trace_matrix.trace_path(optimum_coordinate));
            res.front_coordinate.first = trace_res.first_sequence_slice_positions.first;
            res.front_coordinate.second = trace_res.second_sequence_slice_positions.first;
 
            if constexpr (traits_t::result_type_rank == 3) // compute alignment
                res.alignment = std::move(trace_res.alignment);
        }
 
        // Store the matrices in debug mode.
        if constexpr (traits_t::is_debug)
        {
            res.score_debug_matrix = std::move(score_debug_matrix);
            if constexpr (traits_t::result_type_rank == 3) // compute alignment
                res.trace_debug_matrix = std::move(trace_debug_matrix);
        }
 
        return res;
    }
 
    template <typename indexed_sequence_pair_range_t>
        requires traits_t::is_vectorised
    constexpr auto make_alignment_result(indexed_sequence_pair_range_t && index_sequence_pairs)
    {
        using indexed_sequence_pair_t = std::ranges::range_value_t<indexed_sequence_pair_range_t>;
        using sequence_pair_t = std::tuple_element_t<0, indexed_sequence_pair_t>;
        using sequence1_t = std::tuple_element_t<0, sequence_pair_t>;
        using sequence2_t = std::tuple_element_t<1, sequence_pair_t>;
 
        using result_value_t = typename align_result_selector<sequence1_t, sequence2_t, config_t>::type;
 
        std::vector<alignment_result<result_value_t>> results{};
        results.reserve(std::ranges::distance(index_sequence_pairs));
 
        size_t simd_index = 0;
        for (auto && [sequence_pairs, alignment_index] : index_sequence_pairs)
        {
            (void) sequence_pairs;
            result_value_t res{};
            res.id = alignment_index;
 
            res.score = this->alignment_state.optimum.score[simd_index];  // Just take this
 
            if constexpr (traits_t::result_type_rank >= 1)  // compute back coordinate
            {
                res.back_coordinate.first = this->alignment_state.optimum.column_index[simd_index] ;
                res.back_coordinate.second = this->alignment_state.optimum.row_index[simd_index];
            }
 
            results.emplace_back(std::move(res));
            ++simd_index;
        }
 
        return results;
    }
 
    void dump_alignment_column()
    {
        using std::get;
 
        auto column = this->current_alignment_column();
 
        auto coord = get<1>(column.front()).coordinate;
        if constexpr (traits_t::is_banded)
            coord.second += coord.first - this->score_matrix.band_col_index;
 
        matrix_offset offset{row_index_type{static_cast<std::ptrdiff_t>(coord.second)},
                             column_index_type{static_cast<std::ptrdiff_t>(coord.first)}};
 
        std::ranges::copy(column | std::views::transform([] (auto const & tpl)
        {
            using std::get;
            return get<0>(tpl).current;
        }), score_debug_matrix.begin() + offset);
 
        // if traceback is enabled.
        if constexpr (config_t::template exists<align_cfg::result<with_alignment_type>>())
        {
            auto trace_matrix_it = trace_debug_matrix.begin() + offset;
            std::ranges::copy(column | std::views::transform([] (auto const & tpl)
            {
                using std::get;
                return get<1>(tpl).current;
            }), trace_debug_matrix.begin() + offset);
        }
    }
 
    std::shared_ptr<config_t> cfg_ptr{};
    alignment_column_t alignment_column{};
    alignment_column_iterator_t alignment_column_it{};
    score_debug_matrix_t score_debug_matrix{};
    trace_debug_matrix_t trace_debug_matrix{};
    std::pair<size_t, size_t> max_size_in_collection{};
};
 
} // namespace seqan3::detail