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-rw-r--r--third_party/eigen3/Eigen/src/SparseCore/SparsePermutation.h148
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diff --git a/third_party/eigen3/Eigen/src/SparseCore/SparsePermutation.h b/third_party/eigen3/Eigen/src/SparseCore/SparsePermutation.h
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+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// 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_SPARSE_PERMUTATION_H
+#define EIGEN_SPARSE_PERMUTATION_H
+
+// This file implements sparse * permutation products
+
+namespace Eigen {
+
+namespace internal {
+
+template<typename PermutationType, typename MatrixType, int Side, bool Transposed>
+struct traits<permut_sparsematrix_product_retval<PermutationType, MatrixType, Side, Transposed> >
+{
+ typedef typename remove_all<typename MatrixType::Nested>::type MatrixTypeNestedCleaned;
+ typedef typename MatrixTypeNestedCleaned::Scalar Scalar;
+ typedef typename MatrixTypeNestedCleaned::Index Index;
+ enum {
+ SrcStorageOrder = MatrixTypeNestedCleaned::Flags&RowMajorBit ? RowMajor : ColMajor,
+ MoveOuter = SrcStorageOrder==RowMajor ? Side==OnTheLeft : Side==OnTheRight
+ };
+
+ typedef typename internal::conditional<MoveOuter,
+ SparseMatrix<Scalar,SrcStorageOrder,Index>,
+ SparseMatrix<Scalar,int(SrcStorageOrder)==RowMajor?ColMajor:RowMajor,Index> >::type ReturnType;
+};
+
+template<typename PermutationType, typename MatrixType, int Side, bool Transposed>
+struct permut_sparsematrix_product_retval
+ : public ReturnByValue<permut_sparsematrix_product_retval<PermutationType, MatrixType, Side, Transposed> >
+{
+ typedef typename remove_all<typename MatrixType::Nested>::type MatrixTypeNestedCleaned;
+ typedef typename MatrixTypeNestedCleaned::Scalar Scalar;
+ typedef typename MatrixTypeNestedCleaned::Index Index;
+
+ enum {
+ SrcStorageOrder = MatrixTypeNestedCleaned::Flags&RowMajorBit ? RowMajor : ColMajor,
+ MoveOuter = SrcStorageOrder==RowMajor ? Side==OnTheLeft : Side==OnTheRight
+ };
+
+ permut_sparsematrix_product_retval(const PermutationType& perm, const MatrixType& matrix)
+ : m_permutation(perm), m_matrix(matrix)
+ {}
+
+ inline int rows() const { return m_matrix.rows(); }
+ inline int cols() const { return m_matrix.cols(); }
+
+ template<typename Dest> inline void evalTo(Dest& dst) const
+ {
+ if(MoveOuter)
+ {
+ SparseMatrix<Scalar,SrcStorageOrder,Index> tmp(m_matrix.rows(), m_matrix.cols());
+ Matrix<Index,Dynamic,1> sizes(m_matrix.outerSize());
+ for(Index j=0; j<m_matrix.outerSize(); ++j)
+ {
+ Index jp = m_permutation.indices().coeff(j);
+ sizes[((Side==OnTheLeft) ^ Transposed) ? jp : j] = m_matrix.innerVector(((Side==OnTheRight) ^ Transposed) ? jp : j).size();
+ }
+ tmp.reserve(sizes);
+ for(Index j=0; j<m_matrix.outerSize(); ++j)
+ {
+ Index jp = m_permutation.indices().coeff(j);
+ Index jsrc = ((Side==OnTheRight) ^ Transposed) ? jp : j;
+ Index jdst = ((Side==OnTheLeft) ^ Transposed) ? jp : j;
+ for(typename MatrixTypeNestedCleaned::InnerIterator it(m_matrix,jsrc); it; ++it)
+ tmp.insertByOuterInner(jdst,it.index()) = it.value();
+ }
+ dst = tmp;
+ }
+ else
+ {
+ SparseMatrix<Scalar,int(SrcStorageOrder)==RowMajor?ColMajor:RowMajor,Index> tmp(m_matrix.rows(), m_matrix.cols());
+ Matrix<Index,Dynamic,1> sizes(tmp.outerSize());
+ sizes.setZero();
+ PermutationMatrix<Dynamic,Dynamic,Index> perm;
+ if((Side==OnTheLeft) ^ Transposed)
+ perm = m_permutation;
+ else
+ perm = m_permutation.transpose();
+
+ for(Index j=0; j<m_matrix.outerSize(); ++j)
+ for(typename MatrixTypeNestedCleaned::InnerIterator it(m_matrix,j); it; ++it)
+ sizes[perm.indices().coeff(it.index())]++;
+ tmp.reserve(sizes);
+ for(Index j=0; j<m_matrix.outerSize(); ++j)
+ for(typename MatrixTypeNestedCleaned::InnerIterator it(m_matrix,j); it; ++it)
+ tmp.insertByOuterInner(perm.indices().coeff(it.index()),j) = it.value();
+ dst = tmp;
+ }
+ }
+
+ protected:
+ const PermutationType& m_permutation;
+ typename MatrixType::Nested m_matrix;
+};
+
+}
+
+
+
+/** \returns the matrix with the permutation applied to the columns
+ */
+template<typename SparseDerived, typename PermDerived>
+inline const internal::permut_sparsematrix_product_retval<PermutationBase<PermDerived>, SparseDerived, OnTheRight, false>
+operator*(const SparseMatrixBase<SparseDerived>& matrix, const PermutationBase<PermDerived>& perm)
+{
+ return internal::permut_sparsematrix_product_retval<PermutationBase<PermDerived>, SparseDerived, OnTheRight, false>(perm, matrix.derived());
+}
+
+/** \returns the matrix with the permutation applied to the rows
+ */
+template<typename SparseDerived, typename PermDerived>
+inline const internal::permut_sparsematrix_product_retval<PermutationBase<PermDerived>, SparseDerived, OnTheLeft, false>
+operator*( const PermutationBase<PermDerived>& perm, const SparseMatrixBase<SparseDerived>& matrix)
+{
+ return internal::permut_sparsematrix_product_retval<PermutationBase<PermDerived>, SparseDerived, OnTheLeft, false>(perm, matrix.derived());
+}
+
+
+
+/** \returns the matrix with the inverse permutation applied to the columns.
+ */
+template<typename SparseDerived, typename PermDerived>
+inline const internal::permut_sparsematrix_product_retval<PermutationBase<PermDerived>, SparseDerived, OnTheRight, true>
+operator*(const SparseMatrixBase<SparseDerived>& matrix, const Transpose<PermutationBase<PermDerived> >& tperm)
+{
+ return internal::permut_sparsematrix_product_retval<PermutationBase<PermDerived>, SparseDerived, OnTheRight, true>(tperm.nestedPermutation(), matrix.derived());
+}
+
+/** \returns the matrix with the inverse permutation applied to the rows.
+ */
+template<typename SparseDerived, typename PermDerived>
+inline const internal::permut_sparsematrix_product_retval<PermutationBase<PermDerived>, SparseDerived, OnTheLeft, true>
+operator*(const Transpose<PermutationBase<PermDerived> >& tperm, const SparseMatrixBase<SparseDerived>& matrix)
+{
+ return internal::permut_sparsematrix_product_retval<PermutationBase<PermDerived>, SparseDerived, OnTheLeft, true>(tperm.nestedPermutation(), matrix.derived());
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_SPARSE_SELFADJOINTVIEW_H