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233 lines
6.8 KiB
C++
233 lines
6.8 KiB
C++
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// 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) 2012 Desire NUENTSA WAKAM <desire.nuentsa_wakam@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_BROWSE_MATRICES_H
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#define EIGEN_BROWSE_MATRICES_H
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namespace Eigen {
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enum {
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SPD = 0x100,
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NonSymmetric = 0x0
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};
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/**
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* @brief Iterator to browse matrices from a specified folder
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*
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* This is used to load all the matrices from a folder.
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* The matrices should be in Matrix Market format
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* It is assumed that the matrices are named as matname.mtx
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* and matname_SPD.mtx if the matrix is Symmetric and positive definite (or Hermitian)
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* The right hand side vectors are loaded as well, if they exist.
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* They should be named as matname_b.mtx.
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* Note that the right hand side for a SPD matrix is named as matname_SPD_b.mtx
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*
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* Sometimes a reference solution is available. In this case, it should be named as matname_x.mtx
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*
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* Sample code
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* \code
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*
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* \endcode
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*
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* \tparam Scalar The scalar type
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*/
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template <typename Scalar>
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class MatrixMarketIterator
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{
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public:
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typedef Matrix<Scalar,Dynamic,1> VectorType;
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typedef SparseMatrix<Scalar,ColMajor> MatrixType;
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public:
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MatrixMarketIterator(const std::string folder):m_sym(0),m_isvalid(false),m_matIsLoaded(false),m_hasRhs(false),m_hasrefX(false),m_folder(folder)
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{
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m_folder_id = opendir(folder.c_str());
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if (!m_folder_id){
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m_isvalid = false;
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std::cerr << "The provided Matrix folder could not be opened \n\n";
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abort();
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}
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Getnextvalidmatrix();
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}
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~MatrixMarketIterator()
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{
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if (m_folder_id) closedir(m_folder_id);
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}
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inline MatrixMarketIterator& operator++()
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{
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m_matIsLoaded = false;
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m_hasrefX = false;
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m_hasRhs = false;
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Getnextvalidmatrix();
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return *this;
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}
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inline operator bool() const { return m_isvalid;}
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/** Return the sparse matrix corresponding to the current file */
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inline MatrixType& matrix()
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{
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// Read the matrix
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if (m_matIsLoaded) return m_mat;
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std::string matrix_file = m_folder + "/" + m_matname + ".mtx";
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if ( !loadMarket(m_mat, matrix_file))
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{
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m_matIsLoaded = false;
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return m_mat;
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}
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m_matIsLoaded = true;
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if (m_sym != NonSymmetric)
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{ // Store the upper part of the matrix. It is needed by the solvers dealing with nonsymmetric matrices ??
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MatrixType B;
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B = m_mat;
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m_mat = B.template selfadjointView<Lower>();
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}
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return m_mat;
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}
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/** Return the right hand side corresponding to the current matrix.
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* If the rhs file is not provided, a random rhs is generated
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*/
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inline VectorType& rhs()
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{
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// Get the right hand side
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if (m_hasRhs) return m_rhs;
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std::string rhs_file;
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rhs_file = m_folder + "/" + m_matname + "_b.mtx"; // The pattern is matname_b.mtx
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m_hasRhs = Fileexists(rhs_file);
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if (m_hasRhs)
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{
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m_rhs.resize(m_mat.cols());
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m_hasRhs = loadMarketVector(m_rhs, rhs_file);
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}
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if (!m_hasRhs)
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{
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// Generate a random right hand side
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if (!m_matIsLoaded) this->matrix();
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m_refX.resize(m_mat.cols());
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m_refX.setRandom();
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m_rhs = m_mat * m_refX;
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m_hasrefX = true;
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m_hasRhs = true;
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}
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return m_rhs;
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}
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/** Return a reference solution
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* If it is not provided and if the right hand side is not available
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* then refX is randomly generated such that A*refX = b
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* where A and b are the matrix and the rhs.
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* Note that when a rhs is provided, refX is not available
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*/
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inline VectorType& refX()
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{
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// Check if a reference solution is provided
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if (m_hasrefX) return m_refX;
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std::string lhs_file;
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lhs_file = m_folder + "/" + m_matname + "_x.mtx";
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m_hasrefX = Fileexists(lhs_file);
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if (m_hasrefX)
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{
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m_refX.resize(m_mat.cols());
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m_hasrefX = loadMarketVector(m_refX, lhs_file);
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}
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return m_refX;
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}
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inline std::string& matname() { return m_matname; }
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inline int sym() { return m_sym; }
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inline bool hasRhs() {return m_hasRhs; }
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inline bool hasrefX() {return m_hasrefX; }
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protected:
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inline bool Fileexists(std::string file)
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{
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std::ifstream file_id(file.c_str());
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if (!file_id.good() )
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{
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return false;
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}
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else
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{
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file_id.close();
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return true;
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}
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}
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void Getnextvalidmatrix( )
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{
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m_isvalid = false;
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// Here, we return with the next valid matrix in the folder
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while ( (m_curs_id = readdir(m_folder_id)) != NULL) {
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m_isvalid = false;
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std::string curfile;
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curfile = m_folder + "/" + m_curs_id->d_name;
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// Discard if it is a folder
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if (m_curs_id->d_type == DT_DIR) continue; //FIXME This may not be available on non BSD systems
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// struct stat st_buf;
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// stat (curfile.c_str(), &st_buf);
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// if (S_ISDIR(st_buf.st_mode)) continue;
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// Determine from the header if it is a matrix or a right hand side
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bool isvector,iscomplex=false;
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if(!getMarketHeader(curfile,m_sym,iscomplex,isvector)) continue;
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if(isvector) continue;
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if (!iscomplex)
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{
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if(internal::is_same<Scalar, std::complex<float> >::value || internal::is_same<Scalar, std::complex<double> >::value)
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continue;
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}
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if (iscomplex)
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{
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if(internal::is_same<Scalar, float>::value || internal::is_same<Scalar, double>::value)
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continue;
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}
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// Get the matrix name
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std::string filename = m_curs_id->d_name;
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m_matname = filename.substr(0, filename.length()-4);
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// Find if the matrix is SPD
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size_t found = m_matname.find("SPD");
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if( (found!=std::string::npos) && (m_sym != NonSymmetric) )
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m_sym = SPD;
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m_isvalid = true;
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break;
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}
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}
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int m_sym; // Symmetry of the matrix
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MatrixType m_mat; // Current matrix
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VectorType m_rhs; // Current vector
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VectorType m_refX; // The reference solution, if exists
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std::string m_matname; // Matrix Name
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bool m_isvalid;
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bool m_matIsLoaded; // Determine if the matrix has already been loaded from the file
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bool m_hasRhs; // The right hand side exists
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bool m_hasrefX; // A reference solution is provided
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std::string m_folder;
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DIR * m_folder_id;
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struct dirent *m_curs_id;
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};
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} // end namespace Eigen
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#endif
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