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541 lines
22 KiB
C++
541 lines
22 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) 2015 Gael Guennebaud <gael.guennebaud@inria.fr>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#ifndef EIGEN_SPARSE_COMPRESSED_BASE_H
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#define EIGEN_SPARSE_COMPRESSED_BASE_H
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#include "./InternalHeaderCheck.h"
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namespace Eigen {
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template<typename Derived> class SparseCompressedBase;
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namespace internal {
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template<typename Derived>
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struct traits<SparseCompressedBase<Derived> > : traits<Derived>
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{};
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template <typename Derived, class Comp, bool IsVector>
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struct inner_sort_impl;
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} // end namespace internal
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/** \ingroup SparseCore_Module
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* \class SparseCompressedBase
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* \brief Common base class for sparse [compressed]-{row|column}-storage format.
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*
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* This class defines the common interface for all derived classes implementing the compressed sparse storage format, such as:
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* - SparseMatrix
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* - Ref<SparseMatrixType,Options>
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* - Map<SparseMatrixType>
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*
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*/
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template<typename Derived>
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class SparseCompressedBase
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: public SparseMatrixBase<Derived>
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{
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public:
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typedef SparseMatrixBase<Derived> Base;
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EIGEN_SPARSE_PUBLIC_INTERFACE(SparseCompressedBase)
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using Base::operator=;
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using Base::IsRowMajor;
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class InnerIterator;
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class ReverseInnerIterator;
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protected:
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typedef typename Base::IndexVector IndexVector;
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Eigen::Map<IndexVector> innerNonZeros() { return Eigen::Map<IndexVector>(innerNonZeroPtr(), isCompressed()?0:derived().outerSize()); }
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const Eigen::Map<const IndexVector> innerNonZeros() const { return Eigen::Map<const IndexVector>(innerNonZeroPtr(), isCompressed()?0:derived().outerSize()); }
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public:
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/** \returns the number of non zero coefficients */
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inline Index nonZeros() const
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{
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if (Derived::IsVectorAtCompileTime && outerIndexPtr() == 0)
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return derived().nonZeros();
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else if (derived().outerSize() == 0)
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return 0;
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else if (isCompressed())
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return outerIndexPtr()[derived().outerSize()] - outerIndexPtr()[0];
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else
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return innerNonZeros().sum();
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}
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/** \returns a const pointer to the array of values.
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* This function is aimed at interoperability with other libraries.
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* \sa innerIndexPtr(), outerIndexPtr() */
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inline const Scalar* valuePtr() const { return derived().valuePtr(); }
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/** \returns a non-const pointer to the array of values.
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* This function is aimed at interoperability with other libraries.
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* \sa innerIndexPtr(), outerIndexPtr() */
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inline Scalar* valuePtr() { return derived().valuePtr(); }
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/** \returns a const pointer to the array of inner indices.
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* This function is aimed at interoperability with other libraries.
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* \sa valuePtr(), outerIndexPtr() */
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inline const StorageIndex* innerIndexPtr() const { return derived().innerIndexPtr(); }
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/** \returns a non-const pointer to the array of inner indices.
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* This function is aimed at interoperability with other libraries.
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* \sa valuePtr(), outerIndexPtr() */
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inline StorageIndex* innerIndexPtr() { return derived().innerIndexPtr(); }
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/** \returns a const pointer to the array of the starting positions of the inner vectors.
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* This function is aimed at interoperability with other libraries.
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* \warning it returns the null pointer 0 for SparseVector
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* \sa valuePtr(), innerIndexPtr() */
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inline const StorageIndex* outerIndexPtr() const { return derived().outerIndexPtr(); }
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/** \returns a non-const pointer to the array of the starting positions of the inner vectors.
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* This function is aimed at interoperability with other libraries.
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* \warning it returns the null pointer 0 for SparseVector
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* \sa valuePtr(), innerIndexPtr() */
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inline StorageIndex* outerIndexPtr() { return derived().outerIndexPtr(); }
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/** \returns a const pointer to the array of the number of non zeros of the inner vectors.
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* This function is aimed at interoperability with other libraries.
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* \warning it returns the null pointer 0 in compressed mode */
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inline const StorageIndex* innerNonZeroPtr() const { return derived().innerNonZeroPtr(); }
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/** \returns a non-const pointer to the array of the number of non zeros of the inner vectors.
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* This function is aimed at interoperability with other libraries.
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* \warning it returns the null pointer 0 in compressed mode */
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inline StorageIndex* innerNonZeroPtr() { return derived().innerNonZeroPtr(); }
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/** \returns whether \c *this is in compressed form. */
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inline bool isCompressed() const { return innerNonZeroPtr()==0; }
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/** \returns a read-only view of the stored coefficients as a 1D array expression.
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*
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* \warning this method is for \b compressed \b storage \b only, and it will trigger an assertion otherwise.
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*
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* \sa valuePtr(), isCompressed() */
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const Map<const Array<Scalar,Dynamic,1> > coeffs() const { eigen_assert(isCompressed()); return Array<Scalar,Dynamic,1>::Map(valuePtr(),nonZeros()); }
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/** \returns a read-write view of the stored coefficients as a 1D array expression
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*
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* \warning this method is for \b compressed \b storage \b only, and it will trigger an assertion otherwise.
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*
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* Here is an example:
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* \include SparseMatrix_coeffs.cpp
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* and the output is:
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* \include SparseMatrix_coeffs.out
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*
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* \sa valuePtr(), isCompressed() */
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Map<Array<Scalar,Dynamic,1> > coeffs() { eigen_assert(isCompressed()); return Array<Scalar,Dynamic,1>::Map(valuePtr(),nonZeros()); }
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/** sorts the inner vectors in the range [begin,end) with respect to `Comp`
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* \sa innerIndicesAreSorted() */
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template <class Comp = std::less<>>
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inline void sortInnerIndices(Index begin, Index end) {
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eigen_assert(begin >= 0 && end <= derived().outerSize() && end >= begin);
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internal::inner_sort_impl<Derived, Comp, IsVectorAtCompileTime>::run(*this, begin, end);
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}
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/** \returns the index of the first inner vector in the range [begin,end) that is not sorted with respect to `Comp`, or `end` if the range is fully sorted
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* \sa sortInnerIndices() */
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template <class Comp = std::less<>>
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inline Index innerIndicesAreSorted(Index begin, Index end) const {
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eigen_assert(begin >= 0 && end <= derived().outerSize() && end >= begin);
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return internal::inner_sort_impl<Derived, Comp, IsVectorAtCompileTime>::check(*this, begin, end);
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}
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/** sorts the inner vectors in the range [0,outerSize) with respect to `Comp`
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* \sa innerIndicesAreSorted() */
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template <class Comp = std::less<>>
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inline void sortInnerIndices() {
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Index begin = 0;
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Index end = derived().outerSize();
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internal::inner_sort_impl<Derived, Comp, IsVectorAtCompileTime>::run(*this, begin, end);
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}
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/** \returns the index of the first inner vector in the range [0,outerSize) that is not sorted with respect to `Comp`, or `outerSize` if the range is fully sorted
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* \sa sortInnerIndices() */
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template<class Comp = std::less<>>
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inline Index innerIndicesAreSorted() const {
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Index begin = 0;
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Index end = derived().outerSize();
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return internal::inner_sort_impl<Derived, Comp, IsVectorAtCompileTime>::check(*this, begin, end);
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}
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protected:
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/** Default constructor. Do nothing. */
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SparseCompressedBase() {}
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/** \internal return the index of the coeff at (row,col) or just before if it does not exist.
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* This is an analogue of std::lower_bound.
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*/
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internal::LowerBoundIndex lower_bound(Index row, Index col) const
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{
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eigen_internal_assert(row>=0 && row<this->rows() && col>=0 && col<this->cols());
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const Index outer = Derived::IsRowMajor ? row : col;
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const Index inner = Derived::IsRowMajor ? col : row;
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Index start = this->outerIndexPtr()[outer];
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Index end = this->isCompressed() ? this->outerIndexPtr()[outer+1] : this->outerIndexPtr()[outer] + this->innerNonZeroPtr()[outer];
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eigen_assert(end>=start && "you are using a non finalized sparse matrix or written coefficient does not exist");
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internal::LowerBoundIndex p;
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p.value = std::lower_bound(this->innerIndexPtr()+start, this->innerIndexPtr()+end,inner) - this->innerIndexPtr();
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p.found = (p.value<end) && (this->innerIndexPtr()[p.value]==inner);
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return p;
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}
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friend struct internal::evaluator<SparseCompressedBase<Derived> >;
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private:
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template<typename OtherDerived> explicit SparseCompressedBase(const SparseCompressedBase<OtherDerived>&);
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};
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template<typename Derived>
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class SparseCompressedBase<Derived>::InnerIterator
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{
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public:
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InnerIterator()
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: m_values(0), m_indices(0), m_outer(0), m_id(0), m_end(0)
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{}
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InnerIterator(const InnerIterator& other)
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: m_values(other.m_values), m_indices(other.m_indices), m_outer(other.m_outer), m_id(other.m_id), m_end(other.m_end)
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{}
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InnerIterator& operator=(const InnerIterator& other)
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{
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m_values = other.m_values;
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m_indices = other.m_indices;
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const_cast<OuterType&>(m_outer).setValue(other.m_outer.value());
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m_id = other.m_id;
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m_end = other.m_end;
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return *this;
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}
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InnerIterator(const SparseCompressedBase& mat, Index outer)
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: m_values(mat.valuePtr()), m_indices(mat.innerIndexPtr()), m_outer(outer)
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{
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if(Derived::IsVectorAtCompileTime && mat.outerIndexPtr()==0)
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{
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m_id = 0;
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m_end = mat.nonZeros();
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}
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else
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{
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m_id = mat.outerIndexPtr()[outer];
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if(mat.isCompressed())
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m_end = mat.outerIndexPtr()[outer+1];
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else
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m_end = m_id + mat.innerNonZeroPtr()[outer];
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}
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}
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explicit InnerIterator(const SparseCompressedBase& mat) : InnerIterator(mat, Index(0))
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{
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EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived);
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}
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explicit InnerIterator(const internal::CompressedStorage<Scalar,StorageIndex>& data)
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: m_values(data.valuePtr()), m_indices(data.indexPtr()), m_outer(0), m_id(0), m_end(data.size())
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{
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EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived);
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}
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inline InnerIterator& operator++() { m_id++; return *this; }
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inline InnerIterator& operator+=(Index i) { m_id += i ; return *this; }
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inline InnerIterator operator+(Index i)
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{
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InnerIterator result = *this;
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result += i;
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return result;
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}
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inline const Scalar& value() const { return m_values[m_id]; }
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inline Scalar& valueRef() { return const_cast<Scalar&>(m_values[m_id]); }
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inline StorageIndex index() const { return m_indices[m_id]; }
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inline Index outer() const { return m_outer.value(); }
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inline Index row() const { return IsRowMajor ? m_outer.value() : index(); }
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inline Index col() const { return IsRowMajor ? index() : m_outer.value(); }
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inline operator bool() const { return (m_id < m_end); }
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protected:
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const Scalar* m_values;
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const StorageIndex* m_indices;
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typedef internal::variable_if_dynamic<Index,Derived::IsVectorAtCompileTime?0:Dynamic> OuterType;
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const OuterType m_outer;
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Index m_id;
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Index m_end;
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private:
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// If you get here, then you're not using the right InnerIterator type, e.g.:
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// SparseMatrix<double,RowMajor> A;
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// SparseMatrix<double>::InnerIterator it(A,0);
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template<typename T> InnerIterator(const SparseMatrixBase<T>&, Index outer);
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};
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template<typename Derived>
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class SparseCompressedBase<Derived>::ReverseInnerIterator
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{
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public:
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ReverseInnerIterator(const SparseCompressedBase& mat, Index outer)
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: m_values(mat.valuePtr()), m_indices(mat.innerIndexPtr()), m_outer(outer)
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{
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if(Derived::IsVectorAtCompileTime && mat.outerIndexPtr()==0)
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{
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m_start = 0;
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m_id = mat.nonZeros();
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}
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else
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{
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m_start = mat.outerIndexPtr()[outer];
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if(mat.isCompressed())
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m_id = mat.outerIndexPtr()[outer+1];
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else
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m_id = m_start + mat.innerNonZeroPtr()[outer];
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}
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}
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explicit ReverseInnerIterator(const SparseCompressedBase& mat)
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: m_values(mat.valuePtr()), m_indices(mat.innerIndexPtr()), m_outer(0), m_start(0), m_id(mat.nonZeros())
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{
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EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived);
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}
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explicit ReverseInnerIterator(const internal::CompressedStorage<Scalar,StorageIndex>& data)
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: m_values(data.valuePtr()), m_indices(data.indexPtr()), m_outer(0), m_start(0), m_id(data.size())
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{
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EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived);
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}
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inline ReverseInnerIterator& operator--() { --m_id; return *this; }
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inline ReverseInnerIterator& operator-=(Index i) { m_id -= i; return *this; }
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inline ReverseInnerIterator operator-(Index i)
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{
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ReverseInnerIterator result = *this;
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result -= i;
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return result;
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}
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inline const Scalar& value() const { return m_values[m_id-1]; }
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inline Scalar& valueRef() { return const_cast<Scalar&>(m_values[m_id-1]); }
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inline StorageIndex index() const { return m_indices[m_id-1]; }
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inline Index outer() const { return m_outer.value(); }
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inline Index row() const { return IsRowMajor ? m_outer.value() : index(); }
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inline Index col() const { return IsRowMajor ? index() : m_outer.value(); }
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inline operator bool() const { return (m_id > m_start); }
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protected:
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const Scalar* m_values;
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const StorageIndex* m_indices;
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typedef internal::variable_if_dynamic<Index,Derived::IsVectorAtCompileTime?0:Dynamic> OuterType;
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const OuterType m_outer;
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Index m_start;
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Index m_id;
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};
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namespace internal {
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// modified from https://artificial-mind.net/blog/2020/11/28/std-sort-multiple-ranges
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template <typename Scalar, typename StorageIndex>
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class CompressedStorageIterator;
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// wrapper class analogous to std::pair<StorageIndex&, Scalar&>
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// used to define assignment, swap, and comparison operators for CompressedStorageIterator
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template <typename Scalar, typename StorageIndex>
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class StorageRef
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{
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public:
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using value_type = std::pair<StorageIndex, Scalar>;
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inline StorageRef& operator=(const StorageRef& other) {
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*m_innerIndexIterator = *other.m_innerIndexIterator;
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*m_valueIterator = *other.m_valueIterator;
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return *this;
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}
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inline StorageRef& operator=(const value_type& other) {
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std::tie(*m_innerIndexIterator, *m_valueIterator) = other;
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return *this;
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}
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inline operator value_type() const { return std::make_pair(*m_innerIndexIterator, *m_valueIterator); }
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inline friend void swap(const StorageRef& a, const StorageRef& b) {
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std::iter_swap(a.m_innerIndexIterator, b.m_innerIndexIterator);
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std::iter_swap(a.m_valueIterator, b.m_valueIterator);
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}
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inline static const StorageIndex& key(const StorageRef& a) { return *a.m_innerIndexIterator; }
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inline static const StorageIndex& key(const value_type& a) { return a.first; }
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#define REF_COMP_REF(OP) inline friend bool operator OP(const StorageRef& a, const StorageRef& b) { return key(a) OP key(b); };
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#define REF_COMP_VAL(OP) inline friend bool operator OP(const StorageRef& a, const value_type& b) { return key(a) OP key(b); };
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#define VAL_COMP_REF(OP) inline friend bool operator OP(const value_type& a, const StorageRef& b) { return key(a) OP key(b); };
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#define MAKE_COMPS(OP) REF_COMP_REF(OP) REF_COMP_VAL(OP) VAL_COMP_REF(OP)
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MAKE_COMPS(<) MAKE_COMPS(>) MAKE_COMPS(<=) MAKE_COMPS(>=) MAKE_COMPS(==) MAKE_COMPS(!=)
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protected:
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StorageIndex* m_innerIndexIterator;
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Scalar* m_valueIterator;
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private:
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StorageRef() = delete;
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// these constructors are only called by the CompressedStorageIterator constructors for convenience only
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StorageRef(StorageIndex* innerIndexIterator, Scalar* valueIterator) : m_innerIndexIterator(innerIndexIterator), m_valueIterator(valueIterator) {}
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StorageRef(const StorageRef& other) : m_innerIndexIterator(other.m_innerIndexIterator), m_valueIterator(other.m_valueIterator) {}
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friend class CompressedStorageIterator<Scalar, StorageIndex>;
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};
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// STL-compatible iterator class that operates on inner indices and values
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template<typename Scalar, typename StorageIndex>
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class CompressedStorageIterator
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{
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public:
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using iterator_category = std::random_access_iterator_tag;
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using reference = StorageRef<Scalar, StorageIndex>;
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using difference_type = Index;
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using value_type = typename reference::value_type;
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using pointer = value_type*;
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CompressedStorageIterator() = delete;
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CompressedStorageIterator(difference_type index, StorageIndex* innerIndexPtr, Scalar* valuePtr) : m_index(index), m_data(innerIndexPtr, valuePtr) {}
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CompressedStorageIterator(difference_type index, reference data) : m_index(index), m_data(data) {}
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CompressedStorageIterator(const CompressedStorageIterator& other) : m_index(other.m_index), m_data(other.m_data) {}
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inline CompressedStorageIterator& operator=(const CompressedStorageIterator& other) {
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m_index = other.m_index;
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m_data = other.m_data;
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return *this;
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}
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inline CompressedStorageIterator operator+(difference_type offset) const { return CompressedStorageIterator(m_index + offset, m_data); }
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inline CompressedStorageIterator operator-(difference_type offset) const { return CompressedStorageIterator(m_index - offset, m_data); }
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inline difference_type operator-(const CompressedStorageIterator& other) const { return m_index - other.m_index; }
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inline CompressedStorageIterator& operator++() { ++m_index; return *this; }
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inline CompressedStorageIterator& operator--() { --m_index; return *this; }
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inline CompressedStorageIterator& operator+=(difference_type offset) { m_index += offset; return *this; }
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inline CompressedStorageIterator& operator-=(difference_type offset) { m_index -= offset; return *this; }
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inline reference operator*() const { return reference(m_data.m_innerIndexIterator + m_index, m_data.m_valueIterator + m_index); }
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#define MAKE_COMP(OP) inline bool operator OP(const CompressedStorageIterator& other) const { return m_index OP other.m_index; }
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MAKE_COMP(<) MAKE_COMP(>) MAKE_COMP(>=) MAKE_COMP(<=) MAKE_COMP(!=) MAKE_COMP(==)
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protected:
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difference_type m_index;
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reference m_data;
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};
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template <typename Derived, class Comp, bool IsVector>
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struct inner_sort_impl {
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typedef typename Derived::Scalar Scalar;
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typedef typename Derived::StorageIndex StorageIndex;
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static inline void run(SparseCompressedBase<Derived>& obj, Index begin, Index end) {
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const bool is_compressed = obj.isCompressed();
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for (Index outer = begin; outer < end; outer++) {
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Index begin_offset = obj.outerIndexPtr()[outer];
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|
Index end_offset = is_compressed ? obj.outerIndexPtr()[outer + 1] : (begin_offset + obj.innerNonZeroPtr()[outer]);
|
|
CompressedStorageIterator<Scalar, StorageIndex> begin_it(begin_offset, obj.innerIndexPtr(), obj.valuePtr());
|
|
CompressedStorageIterator<Scalar, StorageIndex> end_it(end_offset, obj.innerIndexPtr(), obj.valuePtr());
|
|
std::sort(begin_it, end_it, Comp());
|
|
}
|
|
}
|
|
static inline Index check(const SparseCompressedBase<Derived>& obj, Index begin, Index end) {
|
|
const bool is_compressed = obj.isCompressed();
|
|
for (Index outer = begin; outer < end; outer++) {
|
|
Index begin_offset = obj.outerIndexPtr()[outer];
|
|
Index end_offset = is_compressed ? obj.outerIndexPtr()[outer + 1] : (begin_offset + obj.innerNonZeroPtr()[outer]);
|
|
const StorageIndex* begin_it = obj.innerIndexPtr() + begin_offset;
|
|
const StorageIndex* end_it = obj.innerIndexPtr() + end_offset;
|
|
bool is_sorted = std::is_sorted(begin_it, end_it, Comp());
|
|
if (!is_sorted) return outer;
|
|
}
|
|
return end;
|
|
}
|
|
};
|
|
template <typename Derived, class Comp>
|
|
struct inner_sort_impl<Derived, Comp, true> {
|
|
typedef typename Derived::Scalar Scalar;
|
|
typedef typename Derived::StorageIndex StorageIndex;
|
|
static inline void run(SparseCompressedBase<Derived>& obj, Index, Index) {
|
|
Index begin_offset = 0;
|
|
Index end_offset = obj.nonZeros();
|
|
CompressedStorageIterator<Scalar, StorageIndex> begin_it(begin_offset, obj.innerIndexPtr(), obj.valuePtr());
|
|
CompressedStorageIterator<Scalar, StorageIndex> end_it(end_offset, obj.innerIndexPtr(), obj.valuePtr());
|
|
std::sort(begin_it, end_it, Comp());
|
|
}
|
|
static inline Index check(const SparseCompressedBase<Derived>& obj, Index, Index) {
|
|
Index begin_offset = 0;
|
|
Index end_offset = obj.nonZeros();
|
|
const StorageIndex* begin_it = obj.innerIndexPtr() + begin_offset;
|
|
const StorageIndex* end_it = obj.innerIndexPtr() + end_offset;
|
|
return std::is_sorted(begin_it, end_it, Comp()) ? 1 : 0;
|
|
}
|
|
};
|
|
|
|
template<typename Derived>
|
|
struct evaluator<SparseCompressedBase<Derived> >
|
|
: evaluator_base<Derived>
|
|
{
|
|
typedef typename Derived::Scalar Scalar;
|
|
typedef typename Derived::InnerIterator InnerIterator;
|
|
|
|
enum {
|
|
CoeffReadCost = NumTraits<Scalar>::ReadCost,
|
|
Flags = Derived::Flags
|
|
};
|
|
|
|
evaluator() : m_matrix(0), m_zero(0)
|
|
{
|
|
EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
|
|
}
|
|
explicit evaluator(const Derived &mat) : m_matrix(&mat), m_zero(0)
|
|
{
|
|
EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
|
|
}
|
|
|
|
inline Index nonZerosEstimate() const {
|
|
return m_matrix->nonZeros();
|
|
}
|
|
|
|
operator Derived&() { return m_matrix->const_cast_derived(); }
|
|
operator const Derived&() const { return *m_matrix; }
|
|
|
|
typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
|
|
const Scalar& coeff(Index row, Index col) const
|
|
{
|
|
Index p = find(row,col);
|
|
|
|
if(p==Dynamic)
|
|
return m_zero;
|
|
else
|
|
return m_matrix->const_cast_derived().valuePtr()[p];
|
|
}
|
|
|
|
Scalar& coeffRef(Index row, Index col)
|
|
{
|
|
Index p = find(row,col);
|
|
eigen_assert(p!=Dynamic && "written coefficient does not exist");
|
|
return m_matrix->const_cast_derived().valuePtr()[p];
|
|
}
|
|
|
|
protected:
|
|
|
|
Index find(Index row, Index col) const
|
|
{
|
|
internal::LowerBoundIndex p = m_matrix->lower_bound(row,col);
|
|
return p.found ? p.value : Dynamic;
|
|
}
|
|
|
|
const Derived *m_matrix;
|
|
const Scalar m_zero;
|
|
};
|
|
|
|
}
|
|
|
|
} // end namespace Eigen
|
|
|
|
#endif // EIGEN_SPARSE_COMPRESSED_BASE_H
|