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2840ac7e94
* renaming, e.g. LU ---> FullPivLU * split tests framework: more robust, e.g. dont generate empty tests if a number is skipped * make all remaining tests use that splitting, as needed. * Fix 4x4 inversion (see stable branch) * Transform::inverse() and geo_transform test : adapt to new inverse() API, it was also trying to instantiate inverse() for 3x4 matrices. * CMakeLists: more robust regexp to parse the version number * misc fixes in unit tests
64 lines
2.5 KiB
C++
64 lines
2.5 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) 2006-2008 Benoit Jacob <jacob.benoit.1@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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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 = ei_random<int>(0, rows-1), r2 = ei_random<int>(0, rows-1), c = ei_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(v1.asDiagonal());
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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, rows));
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}
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void test_miscmatrices()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST_1( miscMatrices(Matrix<float, 1, 1>()) );
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CALL_SUBTEST_2( miscMatrices(Matrix4d()) );
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CALL_SUBTEST_3( miscMatrices(MatrixXcf(3, 3)) );
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CALL_SUBTEST_4( miscMatrices(MatrixXi(8, 12)) );
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CALL_SUBTEST_5( miscMatrices(MatrixXcd(20, 20)) );
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}
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}
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