mirror of
https://gitlab.com/libeigen/eigen.git
synced 2024-12-21 07:19:46 +08:00
82f0ce2726
This provide several advantages: - more flexibility in designing unit tests - unit tests can be glued to speed up compilation - unit tests are compiled with same predefined macros, which is a requirement for zapcc
95 lines
2.9 KiB
C++
95 lines
2.9 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>
|
|
//
|
|
// This Source Code Form is subject to the terms of the Mozilla
|
|
// Public License v. 2.0. If a copy of the MPL was not distributed
|
|
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
|
|
|
|
#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));
|
|
Index rows = m.rows();
|
|
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
|
|
Scalar *d1=m1.data(), *d2=m2.data();
|
|
m1.swap(m2);
|
|
VERIFY_IS_APPROX(m1,m2_copy);
|
|
VERIFY_IS_APPROX(m2,m1_copy);
|
|
if(MatrixType::SizeAtCompileTime==Dynamic)
|
|
{
|
|
VERIFY(m1.data()==d2);
|
|
VERIFY(m2.data()==d1);
|
|
}
|
|
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;
|
|
|
|
if(m1.rows()>1)
|
|
{
|
|
// 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));
|
|
}
|
|
}
|
|
|
|
EIGEN_DECLARE_TEST(swap)
|
|
{
|
|
int s = internal::random<int>(1,EIGEN_TEST_MAX_SIZE);
|
|
CALL_SUBTEST_1( swap(Matrix3f()) ); // fixed size, no vectorization
|
|
CALL_SUBTEST_2( swap(Matrix4d()) ); // fixed size, possible vectorization
|
|
CALL_SUBTEST_3( swap(MatrixXd(s,s)) ); // dyn size, no vectorization
|
|
CALL_SUBTEST_4( swap(MatrixXf(s,s)) ); // dyn size, possible vectorization
|
|
TEST_SET_BUT_UNUSED_VARIABLE(s)
|
|
}
|