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bc6d78982f
* add lots of static assertions making it very explicit when all these ops
are supposed to work:
** all ops require the rhs vector to go in the right direction
** all ops already require that the lhs and rhs are of the same kind
(matrix vs vector) otherwise we'd have to do complex work
** multiplicative ops (introduced Kibeom's patch) are restricted to arrays, if only because for matrices they could be ambiguous.
* add a new test, vectorwiseop.cpp.
* these compound-assign operators used to be implemented with for loops:
for(Index j=0; j<subVectors(); ++j)
subVector(j).array() += other.derived().array();
This didn't seem to be needed; replaced by using expressions like operator+ and operator- did.
188 lines
6.1 KiB
C++
188 lines
6.1 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) 2011 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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#define EIGEN_NO_STATIC_ASSERT
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#include "main.h"
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template<typename ArrayType> void vectorwiseop_array(const ArrayType& m)
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{
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typedef typename ArrayType::Index Index;
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typedef typename ArrayType::Scalar Scalar;
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typedef typename NumTraits<Scalar>::Real RealScalar;
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typedef Array<Scalar, ArrayType::RowsAtCompileTime, 1> ColVectorType;
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typedef Array<Scalar, 1, ArrayType::ColsAtCompileTime> RowVectorType;
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Index rows = m.rows();
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Index cols = m.cols();
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Index r = internal::random<Index>(0, rows-1),
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c = internal::random<Index>(0, cols-1);
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ArrayType m1 = ArrayType::Random(rows, cols),
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m2(rows, cols),
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m3(rows, cols);
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ColVectorType colvec = ColVectorType::Random(rows);
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RowVectorType rowvec = RowVectorType::Random(cols);
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// test addition
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m2 = m1;
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m2.colwise() += colvec;
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VERIFY_IS_APPROX(m2, m1.colwise() + colvec);
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VERIFY_IS_APPROX(m2.col(c), m1.col(c) + colvec);
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VERIFY_RAISES_ASSERT(m2.colwise() += colvec.transpose());
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VERIFY_RAISES_ASSERT(m1.colwise() + colvec.transpose());
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m2 = m1;
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m2.rowwise() += rowvec;
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VERIFY_IS_APPROX(m2, m1.rowwise() + rowvec);
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VERIFY_IS_APPROX(m2.row(r), m1.row(r) + rowvec);
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VERIFY_RAISES_ASSERT(m2.rowwise() += rowvec.transpose());
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VERIFY_RAISES_ASSERT(m1.rowwise() + rowvec.transpose());
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// test substraction
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m2 = m1;
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m2.colwise() -= colvec;
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VERIFY_IS_APPROX(m2, m1.colwise() - colvec);
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VERIFY_IS_APPROX(m2.col(c), m1.col(c) - colvec);
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VERIFY_RAISES_ASSERT(m2.colwise() -= colvec.transpose());
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VERIFY_RAISES_ASSERT(m1.colwise() - colvec.transpose());
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m2 = m1;
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m2.rowwise() -= rowvec;
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VERIFY_IS_APPROX(m2, m1.rowwise() - rowvec);
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VERIFY_IS_APPROX(m2.row(r), m1.row(r) - rowvec);
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VERIFY_RAISES_ASSERT(m2.rowwise() -= rowvec.transpose());
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VERIFY_RAISES_ASSERT(m1.rowwise() - rowvec.transpose());
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// test multiplication
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m2 = m1;
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m2.colwise() *= colvec;
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VERIFY_IS_APPROX(m2, m1.colwise() * colvec);
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VERIFY_IS_APPROX(m2.col(c), m1.col(c) * colvec);
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VERIFY_RAISES_ASSERT(m2.colwise() *= colvec.transpose());
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VERIFY_RAISES_ASSERT(m1.colwise() * colvec.transpose());
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m2 = m1;
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m2.rowwise() *= rowvec;
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VERIFY_IS_APPROX(m2, m1.rowwise() * rowvec);
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VERIFY_IS_APPROX(m2.row(r), m1.row(r) * rowvec);
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VERIFY_RAISES_ASSERT(m2.rowwise() *= rowvec.transpose());
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VERIFY_RAISES_ASSERT(m1.rowwise() * rowvec.transpose());
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// test quotient
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m2 = m1;
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m2.colwise() /= colvec;
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VERIFY_IS_APPROX(m2, m1.colwise() / colvec);
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VERIFY_IS_APPROX(m2.col(c), m1.col(c) / colvec);
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VERIFY_RAISES_ASSERT(m2.colwise() /= colvec.transpose());
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VERIFY_RAISES_ASSERT(m1.colwise() / colvec.transpose());
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m2 = m1;
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m2.rowwise() /= rowvec;
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VERIFY_IS_APPROX(m2, m1.rowwise() / rowvec);
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VERIFY_IS_APPROX(m2.row(r), m1.row(r) / rowvec);
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VERIFY_RAISES_ASSERT(m2.rowwise() /= rowvec.transpose());
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VERIFY_RAISES_ASSERT(m1.rowwise() / rowvec.transpose());
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}
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template<typename MatrixType> void vectorwiseop_matrix(const MatrixType& m)
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{
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typedef typename MatrixType::Index Index;
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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> ColVectorType;
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typedef Matrix<Scalar, 1, MatrixType::ColsAtCompileTime> RowVectorType;
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Index rows = m.rows();
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Index cols = m.cols();
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Index r = internal::random<Index>(0, rows-1),
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c = internal::random<Index>(0, cols-1);
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MatrixType m1 = MatrixType::Random(rows, cols),
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m2(rows, cols),
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m3(rows, cols);
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ColVectorType colvec = ColVectorType::Random(rows);
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RowVectorType rowvec = RowVectorType::Random(cols);
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// test addition
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m2 = m1;
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m2.colwise() += colvec;
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VERIFY_IS_APPROX(m2, m1.colwise() + colvec);
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VERIFY_IS_APPROX(m2.col(c), m1.col(c) + colvec);
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VERIFY_RAISES_ASSERT(m2.colwise() += colvec.transpose());
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VERIFY_RAISES_ASSERT(m1.colwise() + colvec.transpose());
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m2 = m1;
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m2.rowwise() += rowvec;
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VERIFY_IS_APPROX(m2, m1.rowwise() + rowvec);
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VERIFY_IS_APPROX(m2.row(r), m1.row(r) + rowvec);
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VERIFY_RAISES_ASSERT(m2.rowwise() += rowvec.transpose());
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VERIFY_RAISES_ASSERT(m1.rowwise() + rowvec.transpose());
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// test substraction
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m2 = m1;
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m2.colwise() -= colvec;
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VERIFY_IS_APPROX(m2, m1.colwise() - colvec);
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VERIFY_IS_APPROX(m2.col(c), m1.col(c) - colvec);
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VERIFY_RAISES_ASSERT(m2.colwise() -= colvec.transpose());
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VERIFY_RAISES_ASSERT(m1.colwise() - colvec.transpose());
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m2 = m1;
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m2.rowwise() -= rowvec;
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VERIFY_IS_APPROX(m2, m1.rowwise() - rowvec);
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VERIFY_IS_APPROX(m2.row(r), m1.row(r) - rowvec);
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VERIFY_RAISES_ASSERT(m2.rowwise() -= rowvec.transpose());
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VERIFY_RAISES_ASSERT(m1.rowwise() - rowvec.transpose());
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}
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void test_vectorwiseop()
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{
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CALL_SUBTEST_1(vectorwiseop_array(Array22cd()));
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CALL_SUBTEST_2(vectorwiseop_array(Array<double, 3, 2>()));
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CALL_SUBTEST_3(vectorwiseop_array(ArrayXXf(3, 4)));
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CALL_SUBTEST_4(vectorwiseop_matrix(Matrix4cf()));
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CALL_SUBTEST_5(vectorwiseop_matrix(Matrix<float,4,5>()));
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CALL_SUBTEST_6(vectorwiseop_matrix(MatrixXd(7,2)));
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}
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