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69 lines
2.7 KiB
C++
69 lines
2.7 KiB
C++
// 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 MatrixType> void miscMatrices(const MatrixType& m)
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{
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/* this test covers the following files:
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DiagonalMatrix.h Ones.h
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*/
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typedef typename MatrixType::Scalar Scalar;
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typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
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typedef Matrix<Scalar, 1, MatrixType::ColsAtCompileTime> RowVectorType;
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int rows = m.rows();
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int cols = m.cols();
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int r = random<int>(0, rows-1), r2 = random<int>(0, rows-1), c = random<int>(0, cols-1);
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VERIFY_IS_APPROX(MatrixType::ones(rows,cols)(r,c), static_cast<Scalar>(1));
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MatrixType m1 = MatrixType::ones(rows,cols);
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VERIFY_IS_APPROX(m1(r,c), static_cast<Scalar>(1));
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VectorType v1 = VectorType::random(rows);
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v1[0];
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Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime>
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square = MatrixType::diagonal(v1);
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if(r==r2) VERIFY_IS_APPROX(square(r,r2), v1[r]);
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else VERIFY_IS_MUCH_SMALLER_THAN(square(r,r2), static_cast<Scalar>(1));
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square = MatrixType::zero(rows, rows);
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square.diagonal() = VectorType::ones(rows);
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VERIFY_IS_APPROX(square, MatrixType::identity(rows));
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}
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void EigenTest::testMiscMatrices()
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{
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for(int i = 0; i < m_repeat; i++) {
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miscMatrices(Matrix<float, 1, 1>());
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miscMatrices(Matrix4d());
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miscMatrices(MatrixXcf(3, 3));
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miscMatrices(MatrixXi(8, 12));
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miscMatrices(MatrixXcd(20, 20));
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}
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}
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} // namespace Eigen
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