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-rw-r--r--include/phat/representations/abstract_pivot_column.h102
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diff --git a/include/phat/representations/abstract_pivot_column.h b/include/phat/representations/abstract_pivot_column.h
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--- a/include/phat/representations/abstract_pivot_column.h
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-/* Copyright 2013 IST Austria
- Contributed by: Ulrich Bauer, Michael Kerber, Jan Reininghaus
-
- This file is part of PHAT.
-
- PHAT is free software: you can redistribute it and/or modify
- it under the terms of the GNU Lesser General Public License as published by
- the Free Software Foundation, either version 3 of the License, or
- (at your option) any later version.
-
- PHAT is distributed in the hope that it will be useful,
- but WITHOUT ANY WARRANTY; without even the implied warranty of
- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
- GNU Lesser General Public License for more details.
-
- You should have received a copy of the GNU Lesser General Public License
- along with PHAT. If not, see <http://www.gnu.org/licenses/>. */
-
-#pragma once
-
-#include <phat/helpers/misc.h>
-#include <phat/representations/vector_vector.h>
-
-namespace phat {
-
- // Note: We could even make the rep generic in the underlying Const representation
- // But I cannot imagine that anything else than vector<vector<index>> would
- // make sense
- template< typename PivotColumn >
- class abstract_pivot_column : public vector_vector {
-
- protected:
- typedef vector_vector Base;
- typedef PivotColumn pivot_col;
-
- // For parallization purposes, it could be more than one full column
- mutable thread_local_storage< pivot_col > pivot_cols;
- mutable thread_local_storage< index > idx_of_pivot_cols;
-
- pivot_col& get_pivot_col() const {
- return pivot_cols();
- }
-
- bool is_pivot_col( index idx ) const {
- return idx_of_pivot_cols() == idx;
- }
-
- void release_pivot_col() {
- index idx = idx_of_pivot_cols();
- if( idx != -1 ) {
- this->matrix[ idx ].clear();
- pivot_cols().get_col_and_clear( this->matrix[ idx ] );
- }
- idx_of_pivot_cols() = -1;
- }
-
- void make_pivot_col( index idx ) {
- release_pivot_col();
- idx_of_pivot_cols() = idx;
- get_pivot_col().add_col( matrix[ idx ] );
- }
-
- public:
-
- void _set_num_cols( index nr_of_cols ) {
- #pragma omp parallel for
- for( int tid = 0; tid < omp_get_num_threads(); tid++ ) {
- pivot_cols[ tid ].init( nr_of_cols );
- idx_of_pivot_cols[ tid ] = -1;
- }
- Base::_set_num_cols( nr_of_cols );
- }
-
- void _add_to( index source, index target ) {
- if( !is_pivot_col( target ) )
- make_pivot_col( target );
- get_pivot_col().add_col( matrix[source] );
- }
-
- void _sync() {
- #pragma omp parallel for
- for( int tid = 0; tid < omp_get_num_threads(); tid++ )
- release_pivot_col();
- }
-
- void _get_col( index idx, column& col ) const { is_pivot_col( idx ) ? get_pivot_col().get_col( col ) : Base::_get_col( idx, col ); }
-
- bool _is_empty( index idx ) const { return is_pivot_col( idx ) ? get_pivot_col().is_empty() : Base::_is_empty( idx ); }
-
- index _get_max_index( index idx ) const { return is_pivot_col( idx ) ? get_pivot_col().get_max_index() : Base::_get_max_index( idx ); }
-
- void _clear( index idx ) { is_pivot_col( idx ) ? get_pivot_col().clear() : Base::_clear( idx ); }
-
- void _set_col( index idx, const column& col ) { is_pivot_col( idx ) ? get_pivot_col().set_col( col ) : Base::_set_col( idx, col ); }
-
- void _remove_max( index idx ) { is_pivot_col( idx ) ? get_pivot_col().remove_max() : Base::_remove_max( idx ); }
-
- void finalize( index idx ) { Base::_finalize( idx ); }
- };
-}
-
-