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- eigen2 now fully enforces constness! found a way to achieve that
with minimal code duplication. There now are only two (2) const_cast remaining in the whole source code. - eigen2 now fully allows copying a row-vector into a column-vector. added a unit-test for that. - split unit tests, improve docs, various improvements.
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test/map.cpp
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60
test/map.cpp
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra. Eigen itself is part of the KDE project.
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//
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// Copyright (C) 2006-2007 Benoit Jacob <jacob@math.jussieu.fr>
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//
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// Eigen is free software; you can redistribute it and/or modify it under the
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// terms of the GNU General Public License as published by the Free Software
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// Foundation; either version 2 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 General Public License for more
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// details.
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//
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// You should have received a copy of the GNU General Public License along
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// with Eigen; if not, write to the Free Software Foundation, Inc., 51
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// Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
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//
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// As a special exception, if other files instantiate templates or use macros
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// or functions from this file, or you compile this file and link it
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// with other works to produce a work based on this file, this file does not
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// by itself cause the resulting work to be covered by the GNU General Public
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// License. This exception does not invalidate any other reasons why a work
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// based on this file might be covered by the GNU General Public License.
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#include "main.h"
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namespace Eigen {
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template<typename VectorType> void tmap(const VectorType& m)
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{
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typedef typename VectorType::Scalar Scalar;
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int size = m.size();
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// test Map.h
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Scalar* array1 = new Scalar[size];
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Scalar* array2 = new Scalar[size];
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VectorType::map(array1, size) = VectorType::random(size);
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VectorType::map(array2, size) = VectorType::map(array1, size);
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VectorType ma1 = VectorType::map(array1, size);
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VectorType ma2 = VectorType::map(array2, size);
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VERIFY_IS_APPROX(ma1, ma2);
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VERIFY_IS_APPROX(ma1, VectorType(array2, size));
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delete[] array1;
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delete[] array2;
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}
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void EigenTest::testMap()
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{
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for(int i = 0; i < m_repeat; i++) {
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tmap(Matrix<float, 1, 1>());
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tmap(Vector4d());
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tmap(RowVector4f());
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tmap(VectorXcf(8));
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tmap(VectorXi(12));
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}
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}
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} // namespace Eigen
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