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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2011 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2012 Desire NUENTSA WAKAM <desire.nuentsa_wakam@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
#ifndef EIGEN_SPARSE_MARKET_IO_H
#define EIGEN_SPARSE_MARKET_IO_H
#include <iostream>
namespace Eigen {
namespace internal
{
template <typename Scalar>
inline bool GetMarketLine (std::stringstream& line, int& M, int& N, int& i, int& j, Scalar& value)
{
line >> i >> j >> value;
i--;
j--;
if(i>=0 && j>=0 && i<M && j<N)
{
return true;
}
else
return false;
}
template <typename Scalar>
inline bool GetMarketLine (std::stringstream& line, int& M, int& N, int& i, int& j, std::complex<Scalar>& value)
{
Scalar valR, valI;
line >> i >> j >> valR >> valI;
i--;
j--;
if(i>=0 && j>=0 && i<M && j<N)
{
value = std::complex<Scalar>(valR, valI);
return true;
}
else
return false;
}
template <typename RealScalar>
inline void GetVectorElt (const std::string& line, RealScalar& val)
{
std::istringstream newline(line);
newline >> val;
}
template <typename RealScalar>
inline void GetVectorElt (const std::string& line, std::complex<RealScalar>& val)
{
RealScalar valR, valI;
std::istringstream newline(line);
newline >> valR >> valI;
val = std::complex<RealScalar>(valR, valI);
}
template<typename Scalar>
inline void putMarketHeader(std::string& header,int sym)
{
header= "%%MatrixMarket matrix coordinate ";
if(internal::is_same<Scalar, std::complex<float> >::value || internal::is_same<Scalar, std::complex<double> >::value)
{
header += " complex";
if(sym == Symmetric) header += " symmetric";
else if (sym == SelfAdjoint) header += " Hermitian";
else header += " general";
}
else
{
header += " real";
if(sym == Symmetric) header += " symmetric";
else header += " general";
}
}
template<typename Scalar>
inline void PutMatrixElt(Scalar value, int row, int col, std::ofstream& out)
{
out << row << " "<< col << " " << value << "\n";
}
template<typename Scalar>
inline void PutMatrixElt(std::complex<Scalar> value, int row, int col, std::ofstream& out)
{
out << row << " " << col << " " << value.real() << " " << value.imag() << "\n";
}
template<typename Scalar>
inline void putVectorElt(Scalar value, std::ofstream& out)
{
out << value << "\n";
}
template<typename Scalar>
inline void putVectorElt(std::complex<Scalar> value, std::ofstream& out)
{
out << value.real << " " << value.imag()<< "\n";
}
} // end namepsace internal
inline bool getMarketHeader(const std::string& filename, int& sym, bool& iscomplex, bool& isvector)
{
sym = 0;
isvector = false;
std::ifstream in(filename.c_str(),std::ios::in);
if(!in)
return false;
std::string line;
// The matrix header is always the first line in the file
std::getline(in, line); assert(in.good());
std::stringstream fmtline(line);
std::string substr[5];
fmtline>> substr[0] >> substr[1] >> substr[2] >> substr[3] >> substr[4];
if(substr[2].compare("array") == 0) isvector = true;
if(substr[3].compare("complex") == 0) iscomplex = true;
if(substr[4].compare("symmetric") == 0) sym = Symmetric;
else if (substr[4].compare("Hermitian") == 0) sym = SelfAdjoint;
return true;
}
template<typename SparseMatrixType>
bool loadMarket(SparseMatrixType& mat, const std::string& filename)
{
typedef typename SparseMatrixType::Scalar Scalar;
std::ifstream input(filename.c_str(),std::ios::in);
if(!input)
return false;
const int maxBuffersize = 2048;
char buffer[maxBuffersize];
bool readsizes = false;
typedef Triplet<Scalar,int> T;
std::vector<T> elements;
int M(-1), N(-1), NNZ(-1);
int count = 0;
while(input.getline(buffer, maxBuffersize))
{
// skip comments
//NOTE An appropriate test should be done on the header to get the symmetry
if(buffer[0]=='%')
continue;
std::stringstream line(buffer);
if(!readsizes)
{
line >> M >> N >> NNZ;
if(M > 0 && N > 0 && NNZ > 0)
{
readsizes = true;
std::cout << "sizes: " << M << "," << N << "," << NNZ << "\n";
mat.resize(M,N);
mat.reserve(NNZ);
}
}
else
{
int i(-1), j(-1);
Scalar value;
if( internal::GetMarketLine(line, M, N, i, j, value) )
{
++ count;
elements.push_back(T(i,j,value));
}
else
std::cerr << "Invalid read: " << i << "," << j << "\n";
}
}
mat.setFromTriplets(elements.begin(), elements.end());
if(count!=NNZ)
std::cerr << count << "!=" << NNZ << "\n";
input.close();
return true;
}
template<typename VectorType>
bool loadMarketVector(VectorType& vec, const std::string& filename)
{
typedef typename VectorType::Scalar Scalar;
std::ifstream in(filename.c_str(), std::ios::in);
if(!in)
return false;
std::string line;
int n(0), col(0);
do
{ // Skip comments
std::getline(in, line); assert(in.good());
} while (line[0] == '%');
std::istringstream newline(line);
newline >> n >> col;
assert(n>0 && col>0);
vec.resize(n);
int i = 0;
Scalar value;
while ( std::getline(in, line) && (i < n) ){
internal::GetVectorElt(line, value);
vec(i++) = value;
}
in.close();
if (i!=n){
std::cerr<< "Unable to read all elements from file " << filename << "\n";
return false;
}
return true;
}
template<typename SparseMatrixType>
bool saveMarket(const SparseMatrixType& mat, const std::string& filename, int sym = 0)
{
typedef typename SparseMatrixType::Scalar Scalar;
std::ofstream out(filename.c_str(),std::ios::out);
if(!out)
return false;
out.flags(std::ios_base::scientific);
out.precision(64);
std::string header;
internal::putMarketHeader<Scalar>(header, sym);
out << header << std::endl;
out << mat.rows() << " " << mat.cols() << " " << mat.nonZeros() << "\n";
int count = 0;
for(int j=0; j<mat.outerSize(); ++j)
for(typename SparseMatrixType::InnerIterator it(mat,j); it; ++it)
{
++ count;
internal::PutMatrixElt(it.value(), it.row()+1, it.col()+1, out);
// out << it.row()+1 << " " << it.col()+1 << " " << it.value() << "\n";
}
out.close();
return true;
}
template<typename VectorType>
bool saveMarketVector (const VectorType& vec, const std::string& filename)
{
typedef typename VectorType::Scalar Scalar;
std::ofstream out(filename.c_str(),std::ios::out);
if(!out)
return false;
out.flags(std::ios_base::scientific);
out.precision(64);
if(internal::is_same<Scalar, std::complex<float> >::value || internal::is_same<Scalar, std::complex<double> >::value)
out << "%%MatrixMarket matrix array complex general\n";
else
out << "%%MatrixMarket matrix array real general\n";
out << vec.size() << " "<< 1 << "\n";
for (int i=0; i < vec.size(); i++){
internal::putVectorElt(vec(i), out);
}
out.close();
return true;
}
} // end namespace Eigen
#endif // EIGEN_SPARSE_MARKET_IO_H
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