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/* ========================================================================== */
/* === Source/Mongoose_IO.cpp =============================================== */
/* ========================================================================== */
/* -----------------------------------------------------------------------------
* Mongoose Graph Partitioning Library Copyright (C) 2017-2018,
* Scott P. Kolodziej, Nuri S. Yeralan, Timothy A. Davis, William W. Hager
* Mongoose is licensed under Version 3 of the GNU General Public License.
* Mongoose is also available under other licenses; contact authors for details.
* -------------------------------------------------------------------------- */
/**
* Simplified I/O functions for reading matrices and graphs
*
* For reading Matrix Market files into Mongoose, read_graph and read_matrix
* are provided (depending on if a Graph class instance or CSparse matrix
* instance is needed). The filename can be specified as either a const char*
* (easier for C programmers) or std::string (easier from C++).
*/
#include "Mongoose_IO.hpp"
#include "Mongoose_Internal.hpp"
#include "Mongoose_Logger.hpp"
#include "Mongoose_Sanitize.hpp"
#include <iostream>
using namespace std;
namespace Mongoose
{
Graph *read_graph(const std::string &filename)
{
return read_graph(filename.c_str());
}
cs *read_matrix(const std::string &filename, MM_typecode &matcode)
{
return read_matrix(filename.c_str(), matcode);
}
Graph *read_graph(const char *filename)
{
Logger::tic(IOTiming);
LogInfo("Reading graph from file " << std::string(filename) << "\n");
MM_typecode matcode;
cs *A = read_matrix(filename, matcode);
if (!A)
{
LogError("Error reading matrix from file\n");
return NULL;
}
cs *sanitized_A = sanitizeMatrix(A, mm_is_symmetric(matcode), false);
cs_spfree(A);
if (!sanitized_A)
return NULL;
Graph *G = Graph::create(sanitized_A, true);
if (!G)
{
LogError("Ran out of memory in Mongoose::read_graph\n");
cs_spfree(sanitized_A);
Logger::toc(IOTiming);
return NULL;
}
sanitized_A->p = NULL;
sanitized_A->i = NULL;
sanitized_A->x = NULL;
cs_spfree(sanitized_A);
Logger::toc(IOTiming);
return G;
}
cs *read_matrix(const char *filename, MM_typecode &matcode)
{
LogInfo("Reading Matrix from " << std::string(filename) << "\n");
FILE *file = fopen(filename, "r");
if (!file)
{
LogError("Error: Cannot read file " << std::string(filename) << "\n");
return NULL;
}
LogInfo("Reading Matrix Market banner...");
if (mm_read_banner(file, &matcode) != 0)
{
LogError("Error: Could not process Matrix Market banner\n");
fclose(file);
return NULL;
}
if (!mm_is_matrix(matcode) || !mm_is_sparse(matcode)
|| mm_is_complex(matcode))
{
LogError(
"Error: Unsupported matrix format - Must be real and sparse\n");
fclose(file);
return NULL;
}
Int M, N, nz;
if ((mm_read_mtx_crd_size(file, &M, &N, &nz)) != 0)
{
LogError("Error: Could not parse matrix dimension and size.\n");
fclose(file);
return NULL;
}
if (M != N)
{
LogError("Error: Matrix must be square.\n");
fclose(file);
return NULL;
}
LogInfo("Reading matrix data...\n");
Int *I = (Int *)SuiteSparse_malloc(static_cast<size_t>(nz), sizeof(Int));
Int *J = (Int *)SuiteSparse_malloc(static_cast<size_t>(nz), sizeof(Int));
double *val
= (double *)SuiteSparse_malloc(static_cast<size_t>(nz), sizeof(double));
if (!I || !J || !val)
{
LogError("Error: Ran out of memory in Mongoose::read_matrix\n");
SuiteSparse_free(I);
SuiteSparse_free(J);
SuiteSparse_free(val);
fclose(file);
return NULL;
}
mm_read_mtx_crd_data(file, M, N, nz, I, J, val, matcode);
fclose(file); // Close the file
for (Int k = 0; k < nz; k++)
{
--I[k];
--J[k];
if (mm_is_pattern(matcode))
val[k] = 1;
}
cs *A = (cs *)SuiteSparse_malloc(1, sizeof(cs));
if (!A)
{
LogError("Error: Ran out of memory in Mongoose::read_matrix\n");
SuiteSparse_free(I);
SuiteSparse_free(J);
SuiteSparse_free(val);
return NULL;
}
A->nzmax = nz;
A->m = M;
A->n = N;
A->p = J;
A->i = I;
A->x = val;
A->nz = nz;
LogInfo("Compressing matrix from triplet to CSC format...\n");
cs *compressed_A = cs_compress(A);
cs_spfree(A);
if (!compressed_A)
{
LogError("Error: Ran out of memory in Mongoose::read_matrix\n");
return NULL;
}
return compressed_A;
}
} // end namespace Mongoose
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