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Diffstat (limited to 'test/linearstructure.cpp')
-rw-r--r-- | test/linearstructure.cpp | 106 |
1 files changed, 106 insertions, 0 deletions
diff --git a/test/linearstructure.cpp b/test/linearstructure.cpp new file mode 100644 index 000000000..2bb7a1d81 --- /dev/null +++ b/test/linearstructure.cpp @@ -0,0 +1,106 @@ +// This file is part of Eigen, a lightweight C++ template library +// for linear algebra. Eigen itself is part of the KDE project. +// +// Copyright (C) 2006-2007 Benoit Jacob <jacob@math.jussieu.fr> +// +// Eigen is free software; you can redistribute it and/or modify it under the +// terms of the GNU General Public License as published by the Free Software +// Foundation; either version 2 or (at your option) any later version. +// +// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY +// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS +// FOR A PARTICULAR PURPOSE. See the GNU General Public License for more +// details. +// +// You should have received a copy of the GNU General Public License along +// with Eigen; if not, write to the Free Software Foundation, Inc., 51 +// Franklin St, Fifth Floor, Boston, MA 02110-1301 USA. +// +// As a special exception, if other files instantiate templates or use macros +// or functions from this file, or you compile this file and link it +// with other works to produce a work based on this file, this file does not +// by itself cause the resulting work to be covered by the GNU General Public +// License. This exception does not invalidate any other reasons why a work +// based on this file might be covered by the GNU General Public License. + +#include "main.h" + +namespace Eigen { + +template<typename MatrixType> void linearStructure(const MatrixType& m) +{ + /* this test covers the following files: + Sum.h Difference.h Opposite.h ScalarMultiple.h + */ + + typedef typename MatrixType::Scalar Scalar; + typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType; + + int rows = m.rows(); + int cols = m.cols(); + + // this test relies a lot on Random.h, and there's not much more that we can do + // to test it, hence I consider that we will have tested Random.h + MatrixType m1 = MatrixType::random(rows, cols), + m2 = MatrixType::random(rows, cols), + m3(rows, cols), + mzero = MatrixType::zero(rows, cols), + identity = Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime> + ::identity(rows), + square = Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime> + ::random(rows, rows); + VectorType v1 = VectorType::random(rows), + v2 = VectorType::random(rows), + vzero = VectorType::zero(rows); + + Scalar s1 = random<Scalar>(), + s2 = random<Scalar>(); + + int r = random<int>(0, rows-1), + c = random<int>(0, cols-1); + + VERIFY_IS_APPROX(-(-m1), m1); + VERIFY_IS_APPROX(m1+m1, 2*m1); + VERIFY_IS_APPROX(m1+m2-m1, m2); + VERIFY_IS_APPROX(-m2+m1+m2, m1); + VERIFY_IS_APPROX(m1*s1, s1*m1); + VERIFY_IS_APPROX((m1+m2)*s1, s1*m1+s1*m2); + VERIFY_IS_APPROX((s1+s2)*m1, m1*s1+m1*s2); + VERIFY_IS_APPROX((m1-m2)*s1, s1*m1-s1*m2); + VERIFY_IS_APPROX((s1-s2)*m1, m1*s1-m1*s2); + VERIFY_IS_APPROX((-m1+m2)*s1, -s1*m1+s1*m2); + VERIFY_IS_APPROX((-s1+s2)*m1, -m1*s1+m1*s2); + m3 = m2; m3 += m1; + VERIFY_IS_APPROX(m3, m1+m2); + m3 = m2; m3 -= m1; + VERIFY_IS_APPROX(m3, m2-m1); + m3 = m2; m3 *= s1; + VERIFY_IS_APPROX(m3, s1*m2); + if(NumTraits<Scalar>::HasFloatingPoint) + { + m3 = m2; m3 /= s1; + VERIFY_IS_APPROX(m3, m2/s1); + } + + // again, test operator() to check const-qualification + VERIFY_IS_APPROX((-m1)(r,c), -(m1(r,c))); + VERIFY_IS_APPROX((m1-m2)(r,c), (m1(r,c))-(m2(r,c))); + VERIFY_IS_APPROX((m1+m2)(r,c), (m1(r,c))+(m2(r,c))); + VERIFY_IS_APPROX((s1*m1)(r,c), s1*(m1(r,c))); + VERIFY_IS_APPROX((m1*s1)(r,c), (m1(r,c))*s1); + if(NumTraits<Scalar>::HasFloatingPoint) + VERIFY_IS_APPROX((m1/s1)(r,c), (m1(r,c))/s1); +} + +void EigenTest::testLinearStructure() +{ + for(int i = 0; i < m_repeat; i++) { + linearStructure(Matrix<float, 1, 1>()); + linearStructure(Matrix4d()); + linearStructure(MatrixXcf(3, 3)); + linearStructure(MatrixXi(8, 12)); + linearStructure(MatrixXcd(20, 20)); + } +} + +} // namespace Eigen |