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Implement evaluator for Diagonal.
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@ -881,6 +881,52 @@ protected:
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};
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// -------------------- Diagonal --------------------
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template<typename ArgType, int DiagIndex>
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struct evaluator_impl<Diagonal<ArgType, DiagIndex> >
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{
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typedef Diagonal<ArgType, DiagIndex> DiagonalType;
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evaluator_impl(const DiagonalType& diagonal)
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: m_argImpl(diagonal.nestedExpression()),
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m_index(diagonal.index())
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{ }
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typedef typename DiagonalType::Index Index;
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typedef typename DiagonalType::Scalar Scalar;
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typedef typename DiagonalType::CoeffReturnType CoeffReturnType;
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CoeffReturnType coeff(Index row, Index) const
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{
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return m_argImpl.coeff(row + rowOffset(), row + colOffset());
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}
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CoeffReturnType coeff(Index index) const
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{
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return m_argImpl.coeff(index + rowOffset(), index + colOffset());
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}
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Scalar& coeffRef(Index row, Index)
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{
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return m_argImpl.coeffRef(row + rowOffset(), row + colOffset());
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}
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Scalar& coeffRef(Index index)
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{
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return m_argImpl.coeffRef(index + rowOffset(), index + colOffset());
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}
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protected:
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typename evaluator<ArgType>::type m_argImpl;
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Index m_index; // TODO: Don't use if known at compile time
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private:
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EIGEN_STRONG_INLINE Index rowOffset() const { return m_index>0 ? 0 : -m_index; }
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EIGEN_STRONG_INLINE Index colOffset() const { return m_index>0 ? m_index : 0; }
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};
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} // namespace internal
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#endif // EIGEN_COREEVALUATORS_H
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@ -133,6 +133,17 @@ template<typename MatrixType, int DiagIndex> class Diagonal
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return m_matrix.coeff(index+rowOffset(), index+colOffset());
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}
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const typename internal::remove_all<typename MatrixType::Nested>::type&
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nestedExpression() const
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{
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return m_matrix;
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}
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int index() const
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{
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return m_index.value();
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}
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protected:
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const typename MatrixType::Nested m_matrix;
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const internal::variable_if_dynamic<Index, DiagIndex> m_index;
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@ -197,7 +197,22 @@ void test_evaluators()
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VERIFY_IS_APPROX_EVALUATOR(arr2, arr1.reverse());
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VERIFY_IS_APPROX_EVALUATOR(arr2, arr1.colwise().reverse());
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VERIFY_IS_APPROX_EVALUATOR(arr2, arr1.rowwise().reverse());
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arr2.reverse() = arr1;
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VERIFY_IS_APPROX(arr2, arr1.reverse());
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// test Diagonal
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VERIFY_IS_APPROX_EVALUATOR(vec1, mat1.diagonal());
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vec1.resize(5);
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VERIFY_IS_APPROX_EVALUATOR(vec1, mat1.diagonal(1));
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VERIFY_IS_APPROX_EVALUATOR(vec1, mat1.diagonal<-1>());
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vec1.setRandom();
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mat2 = mat1;
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copy_using_evaluator(mat1.diagonal(1), vec1);
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mat2.diagonal(1) = vec1;
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VERIFY_IS_APPROX(mat1, mat2);
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copy_using_evaluator(mat1.diagonal<-1>(), mat1.diagonal(1));
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mat2.diagonal<-1>() = mat2.diagonal(1);
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VERIFY_IS_APPROX(mat1, mat2);
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}
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