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102 lines
3.2 KiB
C++
102 lines
3.2 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#include "main.h"
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template<typename T>
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struct other_matrix_type
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{
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typedef int type;
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};
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template<typename Scalar_, int Rows_, int Cols_, int Options_, int MaxRows_, int MaxCols_>
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struct other_matrix_type<Matrix<Scalar_, Rows_, Cols_, Options_, MaxRows_, MaxCols_> >
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{
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typedef Matrix<Scalar_, Rows_, Cols_, Options_^RowMajor, MaxRows_, MaxCols_> type;
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};
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template <typename MatrixType>
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typename internal::enable_if<(MatrixType::RowsAtCompileTime==1 || MatrixType::RowsAtCompileTime==Dynamic), void>::type
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check_row_swap(MatrixType& m1) {
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// test assertion on mismatching size -- matrix case
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VERIFY_RAISES_ASSERT(m1.swap(m1.row(0)));
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// test assertion on mismatching size -- xpr case
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VERIFY_RAISES_ASSERT(m1.row(0).swap(m1));
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}
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template <typename MatrixType>
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typename internal::enable_if<!(MatrixType::RowsAtCompileTime==1 || MatrixType::RowsAtCompileTime==Dynamic), void>::type
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check_row_swap(MatrixType& /* unused */) {
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}
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template<typename MatrixType> void swap(const MatrixType& m)
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{
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typedef typename other_matrix_type<MatrixType>::type OtherMatrixType;
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typedef typename MatrixType::Scalar Scalar;
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eigen_assert((!internal::is_same<MatrixType,OtherMatrixType>::value));
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Index rows = m.rows();
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Index cols = m.cols();
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// construct 3 matrix guaranteed to be distinct
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MatrixType m1 = MatrixType::Random(rows,cols);
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MatrixType m2 = MatrixType::Random(rows,cols) + Scalar(100) * MatrixType::Identity(rows,cols);
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OtherMatrixType m3 = OtherMatrixType::Random(rows,cols) + Scalar(200) * OtherMatrixType::Identity(rows,cols);
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MatrixType m1_copy = m1;
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MatrixType m2_copy = m2;
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OtherMatrixType m3_copy = m3;
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// test swapping 2 matrices of same type
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Scalar *d1=m1.data(), *d2=m2.data();
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m1.swap(m2);
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VERIFY_IS_APPROX(m1,m2_copy);
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VERIFY_IS_APPROX(m2,m1_copy);
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if(MatrixType::SizeAtCompileTime==Dynamic)
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{
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VERIFY(m1.data()==d2);
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VERIFY(m2.data()==d1);
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}
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m1 = m1_copy;
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m2 = m2_copy;
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// test swapping 2 matrices of different types
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m1.swap(m3);
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VERIFY_IS_APPROX(m1,m3_copy);
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VERIFY_IS_APPROX(m3,m1_copy);
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m1 = m1_copy;
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m3 = m3_copy;
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// test swapping matrix with expression
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m1.swap(m2.block(0,0,rows,cols));
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VERIFY_IS_APPROX(m1,m2_copy);
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VERIFY_IS_APPROX(m2,m1_copy);
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m1 = m1_copy;
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m2 = m2_copy;
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// test swapping two expressions of different types
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m1.transpose().swap(m3.transpose());
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VERIFY_IS_APPROX(m1,m3_copy);
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VERIFY_IS_APPROX(m3,m1_copy);
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m1 = m1_copy;
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m3 = m3_copy;
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check_row_swap(m1);
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}
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EIGEN_DECLARE_TEST(swap)
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{
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int s = internal::random<int>(1,EIGEN_TEST_MAX_SIZE);
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CALL_SUBTEST_1( swap(Matrix3f()) ); // fixed size, no vectorization
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CALL_SUBTEST_2( swap(Matrix4d()) ); // fixed size, possible vectorization
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CALL_SUBTEST_3( swap(MatrixXd(s,s)) ); // dyn size, no vectorization
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CALL_SUBTEST_4( swap(MatrixXf(s,s)) ); // dyn size, possible vectorization
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TEST_SET_BUT_UNUSED_VARIABLE(s)
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}
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