SeqAn3 3.4.0-rc.1
The Modern C++ library for sequence analysis.
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seqan3::detail::edit_distance_score_matrix_full< word_t, score_t, is_semi_global, use_max_errors >::score_matrix_state Struct Reference

This information is needed to infer the score matrix. More...

#include <seqan3/alignment/matrix/detail/edit_distance_score_matrix_full.hpp>

Public Attributes

std::vector< word_typevn {}
 The machine word which stores the negative vertical differences.
 
std::vector< word_typevp {}
 The machine word which stores the positive vertical differences.
 

Detailed Description

template<typename word_t, typename score_t, bool is_semi_global, bool use_max_errors>
struct seqan3::detail::edit_distance_score_matrix_full< word_t, score_t, is_semi_global, use_max_errors >::score_matrix_state

This information is needed to infer the score matrix.

Member Data Documentation

◆ vn

template<typename word_t , typename score_t , bool is_semi_global, bool use_max_errors>
std::vector<word_type> seqan3::detail::edit_distance_score_matrix_full< word_t, score_t, is_semi_global, use_max_errors >::score_matrix_state::vn {}

The machine word which stores the negative vertical differences.

◆ vp

template<typename word_t , typename score_t , bool is_semi_global, bool use_max_errors>
std::vector<word_type> seqan3::detail::edit_distance_score_matrix_full< word_t, score_t, is_semi_global, use_max_errors >::score_matrix_state::vp {}

The machine word which stores the positive vertical differences.


The documentation for this struct was generated from the following file:
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