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https://gitlab.com/libeigen/eigen.git
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7c99b38b7c
Added EIGEN_HAVE_RVALUE_REFERENCES define. Added move unit tests. Removed superfluous 'inline' declarations in DenseStorage.
74 lines
2.8 KiB
C++
74 lines
2.8 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) 2010 Hauke Heibel <hauke.heibel@gmail.com>
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#include "main.h"
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#include <Eigen/Core>
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template <typename MatrixType>
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void rvalue_copyassign(const MatrixType& m)
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{
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#ifdef EIGEN_HAVE_RVALUE_REFERENCES
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typedef typename internal::traits<MatrixType>::Scalar Scalar;
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// create a temporary which we are about to destroy by moving
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MatrixType tmp = m;
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long src_address = reinterpret_cast<long>(tmp.data());
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// move the temporary to n
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MatrixType n = std::move(tmp);
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long dst_address = reinterpret_cast<long>(n.data());
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if (MatrixType::RowsAtCompileTime==Dynamic|| MatrixType::ColsAtCompileTime==Dynamic)
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{
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// verify that we actually moved the guts
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VERIFY_IS_EQUAL(src_address, dst_address);
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}
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// verify that the content did not change
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Scalar abs_diff = (m-n).array().abs().sum();
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VERIFY_IS_EQUAL(abs_diff, Scalar(0));
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#endif
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}
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void test_rvalue_types()
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{
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CALL_SUBTEST_1(rvalue_copyassign( MatrixXf::Random(50,50).eval() ));
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CALL_SUBTEST_1(rvalue_copyassign( ArrayXXf::Random(50,50).eval() ));
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CALL_SUBTEST_1(rvalue_copyassign( Matrix<float,1,Dynamic>::Random(50).eval() ));
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CALL_SUBTEST_1(rvalue_copyassign( Array<float,1,Dynamic>::Random(50).eval() ));
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CALL_SUBTEST_1(rvalue_copyassign( Matrix<float,Dynamic,1>::Random(50).eval() ));
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CALL_SUBTEST_1(rvalue_copyassign( Array<float,Dynamic,1>::Random(50).eval() ));
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CALL_SUBTEST_2(rvalue_copyassign( Array<float,2,1>::Random().eval() ));
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CALL_SUBTEST_2(rvalue_copyassign( Array<float,3,1>::Random().eval() ));
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CALL_SUBTEST_2(rvalue_copyassign( Array<float,4,1>::Random().eval() ));
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CALL_SUBTEST_2(rvalue_copyassign( Array<float,2,2>::Random().eval() ));
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CALL_SUBTEST_2(rvalue_copyassign( Array<float,3,3>::Random().eval() ));
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CALL_SUBTEST_2(rvalue_copyassign( Array<float,4,4>::Random().eval() ));
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}
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