mirror of
https://gitlab.com/libeigen/eigen.git
synced 2024-12-27 07:29:52 +08:00
7bc8e3ac09
Renamed meta_{true|false} to {true|false}_type, meta_if to conditional, is_same_type to is_same, un{ref|pointer|const} to remove_{reference|pointer|const} and makeconst to add_const. Changed boolean type 'ret' member to 'value'. Changed 'ret' members refering to types to 'type'. Adapted all code occurences.
99 lines
3.4 KiB
C++
99 lines
3.4 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
|
|
// for linear algebra.
|
|
//
|
|
// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
|
|
//
|
|
// Eigen 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.
|
|
//
|
|
// Alternatively, 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.
|
|
//
|
|
// Eigen 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 or the
|
|
// GNU General Public License for more details.
|
|
//
|
|
// You should have received a copy of the GNU Lesser General Public
|
|
// License and a copy of the GNU General Public License along with
|
|
// Eigen. If not, see <http://www.gnu.org/licenses/>.
|
|
|
|
#define EIGEN_NO_STATIC_ASSERT
|
|
#include "main.h"
|
|
|
|
template<typename T>
|
|
struct other_matrix_type
|
|
{
|
|
typedef int type;
|
|
};
|
|
|
|
template<typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
|
|
struct other_matrix_type<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
|
|
{
|
|
typedef Matrix<_Scalar, _Rows, _Cols, _Options^RowMajor, _MaxRows, _MaxCols> type;
|
|
};
|
|
|
|
template<typename MatrixType> void swap(const MatrixType& m)
|
|
{
|
|
typedef typename other_matrix_type<MatrixType>::type OtherMatrixType;
|
|
typedef typename MatrixType::Scalar Scalar;
|
|
|
|
eigen_assert((!internal::is_same<MatrixType,OtherMatrixType>::value));
|
|
typename MatrixType::Index rows = m.rows();
|
|
typename MatrixType::Index cols = m.cols();
|
|
|
|
// construct 3 matrix guaranteed to be distinct
|
|
MatrixType m1 = MatrixType::Random(rows,cols);
|
|
MatrixType m2 = MatrixType::Random(rows,cols) + Scalar(100) * MatrixType::Identity(rows,cols);
|
|
OtherMatrixType m3 = OtherMatrixType::Random(rows,cols) + Scalar(200) * OtherMatrixType::Identity(rows,cols);
|
|
|
|
MatrixType m1_copy = m1;
|
|
MatrixType m2_copy = m2;
|
|
OtherMatrixType m3_copy = m3;
|
|
|
|
// test swapping 2 matrices of same type
|
|
m1.swap(m2);
|
|
VERIFY_IS_APPROX(m1,m2_copy);
|
|
VERIFY_IS_APPROX(m2,m1_copy);
|
|
m1 = m1_copy;
|
|
m2 = m2_copy;
|
|
|
|
// test swapping 2 matrices of different types
|
|
m1.swap(m3);
|
|
VERIFY_IS_APPROX(m1,m3_copy);
|
|
VERIFY_IS_APPROX(m3,m1_copy);
|
|
m1 = m1_copy;
|
|
m3 = m3_copy;
|
|
|
|
// test swapping matrix with expression
|
|
m1.swap(m2.block(0,0,rows,cols));
|
|
VERIFY_IS_APPROX(m1,m2_copy);
|
|
VERIFY_IS_APPROX(m2,m1_copy);
|
|
m1 = m1_copy;
|
|
m2 = m2_copy;
|
|
|
|
// test swapping two expressions of different types
|
|
m1.transpose().swap(m3.transpose());
|
|
VERIFY_IS_APPROX(m1,m3_copy);
|
|
VERIFY_IS_APPROX(m3,m1_copy);
|
|
m1 = m1_copy;
|
|
m3 = m3_copy;
|
|
|
|
// test assertion on mismatching size -- matrix case
|
|
VERIFY_RAISES_ASSERT(m1.swap(m1.row(0)));
|
|
// test assertion on mismatching size -- xpr case
|
|
VERIFY_RAISES_ASSERT(m1.row(0).swap(m1));
|
|
}
|
|
|
|
void test_swap()
|
|
{
|
|
CALL_SUBTEST_1( swap(Matrix3f()) ); // fixed size, no vectorization
|
|
CALL_SUBTEST_2( swap(Matrix4d()) ); // fixed size, possible vectorization
|
|
CALL_SUBTEST_3( swap(MatrixXd(3,3)) ); // dyn size, no vectorization
|
|
CALL_SUBTEST_4( swap(MatrixXf(30,30)) ); // dyn size, possible vectorization
|
|
}
|