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// This file is part of Eigen, a lightweight C++ template library // for linear algebra. // // Copyright (C) 2008-2014 Gael Guennebaud // // This Source Code Form is subject to the terms of the Mozilla // Public License v. 2.0. If a copy of the MPL was not distributed // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. #ifndef EIGEN_SPARSEUTIL_H #define EIGEN_SPARSEUTIL_H // IWYU pragma: private #include "./InternalHeaderCheck.h" namespace Eigen { #ifdef NDEBUG #define EIGEN_DBG_SPARSE(X) #else #define EIGEN_DBG_SPARSE(X) X #endif #define EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, Op) \ template \ EIGEN_STRONG_INLINE Derived& operator Op(const Eigen::SparseMatrixBase& other) { \ return Base::operator Op(other.derived()); \ } \ EIGEN_STRONG_INLINE Derived& operator Op(const Derived & other) { return Base::operator Op(other); } #define EIGEN_SPARSE_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Derived, Op) \ template \ EIGEN_STRONG_INLINE Derived& operator Op(const Other & scalar) { \ return Base::operator Op(scalar); \ } #define EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATORS(Derived) EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, =) #define EIGEN_SPARSE_PUBLIC_INTERFACE(Derived) EIGEN_GENERIC_PUBLIC_INTERFACE(Derived) const int CoherentAccessPattern = 0x1; const int InnerRandomAccessPattern = 0x2 | CoherentAccessPattern; const int OuterRandomAccessPattern = 0x4 | CoherentAccessPattern; const int RandomAccessPattern = 0x8 | OuterRandomAccessPattern | InnerRandomAccessPattern; template class SparseMatrix; template class SparseVector; template class SparseSelfAdjointView; template class SparseDiagonalProduct; template class SparseView; template class SparseSparseProduct; template class SparseTimeDenseProduct; template class DenseTimeSparseProduct; template class SparseDenseOuterProduct; template struct SparseSparseProductReturnType; template ::ColsAtCompileTime, internal::traits::RowsAtCompileTime)> struct DenseSparseProductReturnType; template ::ColsAtCompileTime, internal::traits::RowsAtCompileTime)> struct SparseDenseProductReturnType; template class SparseSymmetricPermutationProduct; namespace internal { template struct sparse_eval; template struct eval : sparse_eval::RowsAtCompileTime, traits::ColsAtCompileTime, traits::Flags> { }; template struct sparse_eval { typedef typename traits::Scalar Scalar_; typedef typename traits::StorageIndex StorageIndex_; public: typedef SparseVector type; }; template struct sparse_eval { typedef typename traits::Scalar Scalar_; typedef typename traits::StorageIndex StorageIndex_; public: typedef SparseVector type; }; // TODO this seems almost identical to plain_matrix_type template struct sparse_eval { typedef typename traits::Scalar Scalar_; typedef typename traits::StorageIndex StorageIndex_; enum { Options_ = ((Flags & RowMajorBit) == RowMajorBit) ? RowMajor : ColMajor }; public: typedef SparseMatrix type; }; template struct sparse_eval { typedef typename traits::Scalar Scalar_; public: typedef Matrix type; }; template struct plain_matrix_type { typedef typename traits::Scalar Scalar_; typedef typename traits::StorageIndex StorageIndex_; enum { Options_ = ((evaluator::Flags & RowMajorBit) == RowMajorBit) ? RowMajor : ColMajor }; public: typedef SparseMatrix type; }; template struct plain_object_eval : sparse_eval::RowsAtCompileTime, traits::ColsAtCompileTime, evaluator::Flags> {}; template struct solve_traits { typedef typename sparse_eval::Flags>::type PlainObject; }; template struct generic_xpr_base { typedef SparseMatrixBase type; }; struct SparseTriangularShape { static std::string debugName() { return "SparseTriangularShape"; } }; struct SparseSelfAdjointShape { static std::string debugName() { return "SparseSelfAdjointShape"; } }; template <> struct glue_shapes { typedef SparseSelfAdjointShape type; }; template <> struct glue_shapes { typedef SparseTriangularShape type; }; // return type of SparseCompressedBase::lower_bound; struct LowerBoundIndex { LowerBoundIndex() : value(-1), found(false) {} LowerBoundIndex(Index val, bool ok) : value(val), found(ok) {} Index value; bool found; }; } // end namespace internal /** \ingroup SparseCore_Module * * \class Triplet * * \brief A small structure to hold a non zero as a triplet (i,j,value). * * \sa SparseMatrix::setFromTriplets() */ template ::StorageIndex> class Triplet { public: Triplet() : m_row(0), m_col(0), m_value(0) {} Triplet(const StorageIndex& i, const StorageIndex& j, const Scalar& v = Scalar(0)) : m_row(i), m_col(j), m_value(v) {} /** \returns the row index of the element */ const StorageIndex& row() const { return m_row; } /** \returns the column index of the element */ const StorageIndex& col() const { return m_col; } /** \returns the value of the element */ const Scalar& value() const { return m_value; } protected: StorageIndex m_row, m_col; Scalar m_value; }; } // end namespace Eigen #endif // EIGEN_SPARSEUTIL_H