/* Matrix class implementation: inline functions.
Copyright (C) 2001-2004 Roberto Bagnara <bagnara@cs.unipr.it>
This file is part of the Parma Polyhedra Library (PPL).
The PPL is free software; you can redistribute it and/or modify it
under the terms of the GNU General Public License as published by the
Free Software Foundation; either version 2 of the License, or (at your
option) any later version.
The PPL 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 General Public License
for more details.
You should have received a copy of the GNU General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307,
USA.
For the most up-to-date information see the Parma Polyhedra Library
site: http://www.cs.unipr.it/ppl/ . */
#ifndef PPL_Matrix_inlines_hh
#define PPL_Matrix_inlines_hh 1
#include <algorithm>
#include <cassert>
namespace Parma_Polyhedra_Library {
inline dimension_type
Matrix::max_num_rows() {
// FIXME: isn't this ridiculous? Creating a vector only to know what
// its maximum size is? Why is vector::max_size() not static?
return std::vector<Row>().max_size();
}
inline dimension_type
Matrix::max_num_columns() {
return Row::max_size();
}
inline
Matrix::const_iterator::const_iterator()
: i(Iter()) {
}
inline
Matrix::const_iterator::const_iterator(const Iter& b)
: i(b) {
}
inline
Matrix::const_iterator::const_iterator(const const_iterator& y)
: i(y.i) {
}
inline Matrix::const_iterator&
Matrix::const_iterator::operator=(const const_iterator& y) {
i = y.i;
return *this;
}
inline Matrix::const_iterator::reference
Matrix::const_iterator::operator*() const {
return *i;
}
inline Matrix::const_iterator::pointer
Matrix::const_iterator::operator->() const {
return &*i;
}
inline Matrix::const_iterator&
Matrix::const_iterator::operator++() {
++i;
return *this;
}
inline Matrix::const_iterator
Matrix::const_iterator::operator++(int) {
return const_iterator(i++);
}
inline bool
Matrix::const_iterator::operator==(const const_iterator& y) const {
return i == y.i;
}
inline bool
Matrix::const_iterator::operator!=(const const_iterator& y) const {
return !operator==(y);
}
inline Matrix::const_iterator
Matrix::begin() const {
return const_iterator(rows.begin());
}
inline Matrix::const_iterator
Matrix::end() const {
return const_iterator(rows.end());
}
inline void
Matrix::swap(Matrix& y) {
std::swap(rows, y.rows);
std::swap(row_topology, y.row_topology);
std::swap(row_size, y.row_size);
std::swap(row_capacity, y.row_capacity);
std::swap(index_first_pending, y.index_first_pending);
std::swap(sorted, y.sorted);
}
inline
Matrix::Matrix(const Topology topol)
: rows(),
row_topology(topol),
row_size(0),
row_capacity(0),
index_first_pending(0),
sorted(true) {
}
inline
Matrix::~Matrix() {
}
inline Row&
Matrix::operator[](const dimension_type k) {
assert(k < rows.size());
return rows[k];
}
inline const Row&
Matrix::operator[](const dimension_type k) const {
assert(k < rows.size());
return rows[k];
}
inline dimension_type
Matrix::num_rows() const {
return rows.size();
}
inline dimension_type
Matrix::first_pending_row() const {
return index_first_pending;
}
inline dimension_type
Matrix::num_pending_rows() const {
assert(num_rows() >= first_pending_row());
return num_rows() - first_pending_row();
}
inline void
Matrix::unset_pending_rows() {
index_first_pending = num_rows();
}
inline void
Matrix::set_index_first_pending_row(const dimension_type first_pending) {
index_first_pending = first_pending;
}
inline void
Matrix::set_necessarily_closed() {
row_topology = NECESSARILY_CLOSED;
if (num_rows() > 0)
set_rows_topology();
}
inline void
Matrix::set_not_necessarily_closed() {
row_topology = NOT_NECESSARILY_CLOSED;
if (num_rows() > 0)
set_rows_topology();
}
inline bool
Matrix::is_necessarily_closed() const {
return row_topology == NECESSARILY_CLOSED;
}
inline Topology
Matrix::topology() const {
return row_topology;
}
inline void
Matrix::set_sorted(const bool value) {
sorted = value;
}
inline bool
Matrix::is_sorted() const {
// Since the flag `sorted' does not really reflect the
// sort status of a matrix this assertion is used to be sure that the
// matrix is really sorted when `sorted' value is 'true'.
assert(!sorted || check_sorted());
return sorted;
}
inline dimension_type
Matrix::num_columns() const {
return row_size;
}
inline dimension_type
Matrix::space_dimension() const {
const dimension_type n_columns = num_columns();
return (n_columns == 0)
? 0
: n_columns - (is_necessarily_closed() ? 1 : 2);
}
/*! \relates Matrix */
inline bool
operator!=(const Matrix& x, const Matrix& y) {
return !(x == y);
}
inline void
Matrix::add_zero_columns(const dimension_type n) {
assert(n > 0);
grow(num_rows(), num_columns() + n);
}
inline void
Matrix::erase_to_end(const dimension_type first_to_erase) {
assert(first_to_erase <= rows.size());
if (first_to_erase < rows.size())
rows.erase(rows.begin() + first_to_erase, rows.end());
}
inline void
Matrix::clear() {
// Clear `rows' and minimize its capacity.
// Note: do NOT modify the value of `row_topology'.
std::vector<Row>().swap(rows);
row_size = 0;
row_capacity = 0;
index_first_pending = 0;
sorted = true;
}
inline void
Matrix::remove_columns(const dimension_type new_n_columns) {
assert(new_n_columns < num_columns());
// Since we are removing columns, reallocation will
// not take place and the old contents of the first
// `new_n_columns' columns will be preserved.
resize_no_copy(num_rows(), new_n_columns);
// Have to re-normalize the rows of the matrix,
// since we removed some coefficients.
strong_normalize();
}
} // namespace Parma_Polyhedra_Library
namespace std {
/*! \relates Parma_Polyhedra_Library::Matrix */
inline void
swap(Parma_Polyhedra_Library::Matrix& x,
Parma_Polyhedra_Library::Matrix& y) {
x.swap(y);
}
} // namespace std
#endif // !defined(PPL_Matrix_inlines_hh)
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