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e14aa8c8aa
mat.cwise() < 2 instead of: mat.cwise() < MatrixType::Constant(mat.rows(), mat.cols(), 2)
134 lines
4.8 KiB
C++
134 lines
4.8 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) 2008 Gael Guennebaud <g.gael@free.fr>
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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/Array>
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template<typename MatrixType> void array(const MatrixType& m)
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{
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/* this test covers the following files:
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Array.cpp
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*/
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typedef typename MatrixType::Scalar Scalar;
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typedef typename NumTraits<Scalar>::Real RealScalar;
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typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
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int rows = m.rows();
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int cols = m.cols();
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MatrixType m1 = MatrixType::Random(rows, cols),
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m2 = MatrixType::Random(rows, cols),
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m3(rows, cols);
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Scalar s1 = ei_random<Scalar>(),
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s2 = ei_random<Scalar>();
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// scalar addition
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VERIFY_IS_APPROX(m1.cwise() + s1, s1 + m1.cwise());
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VERIFY_IS_APPROX(m1.cwise() + s1, MatrixType::Constant(rows,cols,s1) + m1);
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VERIFY_IS_APPROX((m1*Scalar(2)).cwise() - s2, (m1+m1) - MatrixType::Constant(rows,cols,s2) );
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m3 = m1;
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m3.cwise() += s2;
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VERIFY_IS_APPROX(m3, m1.cwise() + s2);
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m3 = m1;
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m3.cwise() -= s1;
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VERIFY_IS_APPROX(m3, m1.cwise() - s1);
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// reductions
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VERIFY_IS_APPROX(m1.colwise().sum().sum(), m1.sum());
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VERIFY_IS_APPROX(m1.rowwise().sum().sum(), m1.sum());
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if (!ei_isApprox(m1.sum(), (m1+m2).sum()))
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VERIFY_IS_NOT_APPROX(((m1+m2).rowwise().sum()).sum(), m1.sum());
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VERIFY_IS_APPROX(m1.colwise().sum(), m1.colwise().redux(ei_scalar_sum_op<Scalar>()));
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}
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template<typename MatrixType> void comparisons(const MatrixType& m)
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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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int rows = m.rows();
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int cols = m.cols();
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int r = ei_random<int>(0, rows-1),
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c = ei_random<int>(0, cols-1);
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MatrixType m1 = MatrixType::Random(rows, cols),
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m2 = MatrixType::Random(rows, cols),
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m3(rows, cols);
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VERIFY(((m1.cwise() + Scalar(1)).cwise() > m1).all());
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VERIFY(((m1.cwise() - Scalar(1)).cwise() < m1).all());
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if (rows*cols>1)
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{
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m3 = m1;
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m3(r,c) += 1;
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VERIFY(! (m1.cwise() < m3).all() );
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VERIFY(! (m1.cwise() > m3).all() );
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}
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// comparisons to scalar
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VERIFY( (m1.cwise() != (m1(r,c)+1) ).any() );
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VERIFY( (m1.cwise() > (m1(r,c)-1) ).any() );
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VERIFY( (m1.cwise() < (m1(r,c)+1) ).any() );
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VERIFY( (m1.cwise() == m1(r,c) ).any() );
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// test Select
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VERIFY_IS_APPROX( (m1.cwise()<m2).select(m1,m2), m1.cwise().min(m2) );
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VERIFY_IS_APPROX( (m1.cwise()>m2).select(m1,m2), m1.cwise().max(m2) );
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Scalar mid = (m1.cwise().abs().minCoeff() + m1.cwise().abs().maxCoeff())/Scalar(2);
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for (int j=0; j<cols; ++j)
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for (int i=0; i<rows; ++i)
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m3(i,j) = ei_abs(m1(i,j))<mid ? 0 : m1(i,j);
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VERIFY_IS_APPROX( (m1.cwise().abs().cwise()<MatrixType::Constant(rows,cols,mid))
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.select(MatrixType::Zero(rows,cols),m1), m3);
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// shorter versions:
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VERIFY_IS_APPROX( (m1.cwise().abs().cwise()<MatrixType::Constant(rows,cols,mid))
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.select(0,m1), m3);
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VERIFY_IS_APPROX( (m1.cwise().abs().cwise()>=MatrixType::Constant(rows,cols,mid))
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.select(m1,0), m3);
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// even shorter version:
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VERIFY_IS_APPROX( (m1.cwise().abs().cwise()<mid).select(0,m1), m3);
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}
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void test_array()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST( array(Matrix<float, 1, 1>()) );
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CALL_SUBTEST( array(Matrix2f()) );
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CALL_SUBTEST( array(Matrix4d()) );
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CALL_SUBTEST( array(MatrixXcf(3, 3)) );
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CALL_SUBTEST( array(MatrixXf(8, 12)) );
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CALL_SUBTEST( array(MatrixXi(8, 12)) );
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}
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST( comparisons(Matrix<float, 1, 1>()) );
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CALL_SUBTEST( comparisons(Matrix2f()) );
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CALL_SUBTEST( comparisons(Matrix4d()) );
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CALL_SUBTEST( comparisons(MatrixXf(8, 12)) );
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CALL_SUBTEST( comparisons(MatrixXi(8, 12)) );
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}
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}
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