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1 // This file is part of Eigen, a lightweight C++ template library
2 // for linear algebra.
3 //
4 // Copyright (C) 2011 Gael Guennebaud <gael.guennebaud@inria.fr>
5 // Copyright (C) 2012 Desire NUENTSA WAKAM <desire.nuentsa_wakam@inria.fr>
6 //
7 // This Source Code Form is subject to the terms of the Mozilla
8 // Public License v. 2.0. If a copy of the MPL was not distributed
9 // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
10 
11 #ifndef EIGEN_SPARSE_MARKET_IO_H
12 #define EIGEN_SPARSE_MARKET_IO_H
13 
14 #include <iostream>
15 
16 namespace Eigen {
17 
18 namespace internal
19 {
20   template <typename Scalar,typename IndexType>
GetMarketLine(std::stringstream & line,IndexType & M,IndexType & N,IndexType & i,IndexType & j,Scalar & value)21   inline bool GetMarketLine (std::stringstream& line, IndexType& M, IndexType& N, IndexType& i, IndexType& j, Scalar& value)
22   {
23     line >> i >> j >> value;
24     i--;
25     j--;
26     if(i>=0 && j>=0 && i<M && j<N)
27     {
28       return true;
29     }
30     else
31       return false;
32   }
33   template <typename Scalar,typename IndexType>
GetMarketLine(std::stringstream & line,IndexType & M,IndexType & N,IndexType & i,IndexType & j,std::complex<Scalar> & value)34   inline bool GetMarketLine (std::stringstream& line, IndexType& M, IndexType& N, IndexType& i, IndexType& j, std::complex<Scalar>& value)
35   {
36     Scalar valR, valI;
37     line >> i >> j >> valR >> valI;
38     i--;
39     j--;
40     if(i>=0 && j>=0 && i<M && j<N)
41     {
42       value = std::complex<Scalar>(valR, valI);
43       return true;
44     }
45     else
46       return false;
47   }
48 
49   template <typename RealScalar>
GetVectorElt(const std::string & line,RealScalar & val)50   inline void  GetVectorElt (const std::string& line, RealScalar& val)
51   {
52     std::istringstream newline(line);
53     newline >> val;
54   }
55 
56   template <typename RealScalar>
GetVectorElt(const std::string & line,std::complex<RealScalar> & val)57   inline void GetVectorElt (const std::string& line, std::complex<RealScalar>& val)
58   {
59     RealScalar valR, valI;
60     std::istringstream newline(line);
61     newline >> valR >> valI;
62     val = std::complex<RealScalar>(valR, valI);
63   }
64 
65   template<typename Scalar>
putMarketHeader(std::string & header,int sym)66   inline void putMarketHeader(std::string& header,int sym)
67   {
68     header= "%%MatrixMarket matrix coordinate ";
69     if(internal::is_same<Scalar, std::complex<float> >::value || internal::is_same<Scalar, std::complex<double> >::value)
70     {
71       header += " complex";
72       if(sym == Symmetric) header += " symmetric";
73       else if (sym == SelfAdjoint) header += " Hermitian";
74       else header += " general";
75     }
76     else
77     {
78       header += " real";
79       if(sym == Symmetric) header += " symmetric";
80       else header += " general";
81     }
82   }
83 
84   template<typename Scalar>
PutMatrixElt(Scalar value,int row,int col,std::ofstream & out)85   inline void PutMatrixElt(Scalar value, int row, int col, std::ofstream& out)
86   {
87     out << row << " "<< col << " " << value << "\n";
88   }
89   template<typename Scalar>
PutMatrixElt(std::complex<Scalar> value,int row,int col,std::ofstream & out)90   inline void PutMatrixElt(std::complex<Scalar> value, int row, int col, std::ofstream& out)
91   {
92     out << row << " " << col << " " << value.real() << " " << value.imag() << "\n";
93   }
94 
95 
96   template<typename Scalar>
putVectorElt(Scalar value,std::ofstream & out)97   inline void putVectorElt(Scalar value, std::ofstream& out)
98   {
99     out << value << "\n";
100   }
101   template<typename Scalar>
putVectorElt(std::complex<Scalar> value,std::ofstream & out)102   inline void putVectorElt(std::complex<Scalar> value, std::ofstream& out)
103   {
104     out << value.real << " " << value.imag()<< "\n";
105   }
106 
107 } // end namepsace internal
108 
getMarketHeader(const std::string & filename,int & sym,bool & iscomplex,bool & isvector)109 inline bool getMarketHeader(const std::string& filename, int& sym, bool& iscomplex, bool& isvector)
110 {
111   sym = 0;
112   iscomplex = false;
113   isvector = false;
114   std::ifstream in(filename.c_str(),std::ios::in);
115   if(!in)
116     return false;
117 
118   std::string line;
119   // The matrix header is always the first line in the file
120   std::getline(in, line); eigen_assert(in.good());
121 
122   std::stringstream fmtline(line);
123   std::string substr[5];
124   fmtline>> substr[0] >> substr[1] >> substr[2] >> substr[3] >> substr[4];
125   if(substr[2].compare("array") == 0) isvector = true;
126   if(substr[3].compare("complex") == 0) iscomplex = true;
127   if(substr[4].compare("symmetric") == 0) sym = Symmetric;
128   else if (substr[4].compare("Hermitian") == 0) sym = SelfAdjoint;
129 
130   return true;
131 }
132 
133 template<typename SparseMatrixType>
loadMarket(SparseMatrixType & mat,const std::string & filename)134 bool loadMarket(SparseMatrixType& mat, const std::string& filename)
135 {
136   typedef typename SparseMatrixType::Scalar Scalar;
137   typedef typename SparseMatrixType::StorageIndex StorageIndex;
138   std::ifstream input(filename.c_str(),std::ios::in);
139   if(!input)
140     return false;
141 
142   const int maxBuffersize = 2048;
143   char buffer[maxBuffersize];
144 
145   bool readsizes = false;
146 
147   typedef Triplet<Scalar,StorageIndex> T;
148   std::vector<T> elements;
149 
150   StorageIndex M(-1), N(-1), NNZ(-1);
151   StorageIndex count = 0;
152   while(input.getline(buffer, maxBuffersize))
153   {
154     // skip comments
155     //NOTE An appropriate test should be done on the header to get the  symmetry
156     if(buffer[0]=='%')
157       continue;
158 
159     std::stringstream line(buffer);
160 
161     if(!readsizes)
162     {
163       line >> M >> N >> NNZ;
164       if(M > 0 && N > 0 && NNZ > 0)
165       {
166         readsizes = true;
167         //std::cout << "sizes: " << M << "," << N << "," << NNZ << "\n";
168         mat.resize(M,N);
169         mat.reserve(NNZ);
170       }
171     }
172     else
173     {
174       StorageIndex i(-1), j(-1);
175       Scalar value;
176       if( internal::GetMarketLine(line, M, N, i, j, value) )
177       {
178         ++ count;
179         elements.push_back(T(i,j,value));
180       }
181       else
182         std::cerr << "Invalid read: " << i << "," << j << "\n";
183     }
184   }
185   mat.setFromTriplets(elements.begin(), elements.end());
186   if(count!=NNZ)
187     std::cerr << count << "!=" << NNZ << "\n";
188 
189   input.close();
190   return true;
191 }
192 
193 template<typename VectorType>
loadMarketVector(VectorType & vec,const std::string & filename)194 bool loadMarketVector(VectorType& vec, const std::string& filename)
195 {
196    typedef typename VectorType::Scalar Scalar;
197   std::ifstream in(filename.c_str(), std::ios::in);
198   if(!in)
199     return false;
200 
201   std::string line;
202   int n(0), col(0);
203   do
204   { // Skip comments
205     std::getline(in, line); eigen_assert(in.good());
206   } while (line[0] == '%');
207   std::istringstream newline(line);
208   newline  >> n >> col;
209   eigen_assert(n>0 && col>0);
210   vec.resize(n);
211   int i = 0;
212   Scalar value;
213   while ( std::getline(in, line) && (i < n) ){
214     internal::GetVectorElt(line, value);
215     vec(i++) = value;
216   }
217   in.close();
218   if (i!=n){
219     std::cerr<< "Unable to read all elements from file " << filename << "\n";
220     return false;
221   }
222   return true;
223 }
224 
225 template<typename SparseMatrixType>
226 bool saveMarket(const SparseMatrixType& mat, const std::string& filename, int sym = 0)
227 {
228   typedef typename SparseMatrixType::Scalar Scalar;
229   std::ofstream out(filename.c_str(),std::ios::out);
230   if(!out)
231     return false;
232 
233   out.flags(std::ios_base::scientific);
234   out.precision(64);
235   std::string header;
236   internal::putMarketHeader<Scalar>(header, sym);
237   out << header << std::endl;
238   out << mat.rows() << " " << mat.cols() << " " << mat.nonZeros() << "\n";
239   int count = 0;
240   for(int j=0; j<mat.outerSize(); ++j)
241     for(typename SparseMatrixType::InnerIterator it(mat,j); it; ++it)
242     {
243       ++ count;
244       internal::PutMatrixElt(it.value(), it.row()+1, it.col()+1, out);
245       // out << it.row()+1 << " " << it.col()+1 << " " << it.value() << "\n";
246     }
247   out.close();
248   return true;
249 }
250 
251 template<typename VectorType>
saveMarketVector(const VectorType & vec,const std::string & filename)252 bool saveMarketVector (const VectorType& vec, const std::string& filename)
253 {
254  typedef typename VectorType::Scalar Scalar;
255  std::ofstream out(filename.c_str(),std::ios::out);
256   if(!out)
257     return false;
258 
259   out.flags(std::ios_base::scientific);
260   out.precision(64);
261   if(internal::is_same<Scalar, std::complex<float> >::value || internal::is_same<Scalar, std::complex<double> >::value)
262       out << "%%MatrixMarket matrix array complex general\n";
263   else
264     out << "%%MatrixMarket matrix array real general\n";
265   out << vec.size() << " "<< 1 << "\n";
266   for (int i=0; i < vec.size(); i++){
267     internal::putVectorElt(vec(i), out);
268   }
269   out.close();
270   return true;
271 }
272 
273 } // end namespace Eigen
274 
275 #endif // EIGEN_SPARSE_MARKET_IO_H
276