char *mm_typecode_to_str(MM_typecode matcode)
{
char buffer[MM_MAX_LINE_LENGTH];
char *types[4];
int error =0;
int i;
/* check for MTX type */
if (mm_is_matrix(matcode))
types[0] = MM_MTX_STR;
else
error=1;
/* check for CRD or ARR matrix */
if (mm_is_sparserow(matcode))
types[1] = MM_SPARSEROW_STR;
else
if (mm_is_coordinate(matcode))
types[1] = MM_COORDINATE_STR;
else
if (mm_is_dense(matcode))
types[1] = MM_DENSE_STR;
else
return NULL;
/* check for element data type */
if (mm_is_real(matcode))
types[2] = MM_REAL_STR;
else
if (mm_is_complex(matcode))
types[2] = MM_COMPLEX_STR;
else
if (mm_is_pattern(matcode))
types[2] = MM_PATTERN_STR;
else
if (mm_is_integer(matcode))
types[2] = MM_INT_STR;
else
return NULL;
/* check for symmetry type */
if (mm_is_general(matcode))
types[3] = MM_GENERAL_STR;
else
if (mm_is_symmetric(matcode))
types[3] = MM_SYMM_STR;
else
if (mm_is_hermitian(matcode))
types[3] = MM_HERM_STR;
else
if (mm_is_skew(matcode))
types[3] = MM_SKEW_STR;
else
return NULL;
sprintf(buffer,"%s %s %s %s", types[0], types[1], types[2], types[3]);
return strdup(buffer);
}
/* READ_MTX - read symmetric sparse matrix in MatrixMarket format
*/
void read_MTX_SSS(char *fname, int *n,
double **va, double **da, int **ja, int **ia) {
int m, nz, ret_code, i;
double *v_coo;
int *i_coo, *j_coo;
MM_typecode matcode;
FILE *f;
f = fopen(fname, "r");
assert(f != NULL);
ret_code = mm_read_banner(f, &matcode);
assert(ret_code == 0);
assert(mm_is_real(matcode) && mm_is_matrix(matcode) &&
mm_is_sparse(matcode) && mm_is_symmetric(matcode));
ret_code = mm_read_mtx_crd_size(f, &m, n, &nz);
assert(ret_code == 0);
assert(m == *n);
/* read COO format */
i_coo = (int *)malloc(nz * sizeof(int));
j_coo = (int *)malloc(nz * sizeof(int));
v_coo = (double *)malloc(nz * sizeof(double));
assert(i_coo && j_coo && v_coo);
for (i = 0; i < nz; i ++) {
fscanf(f, "%d %d %lg\n", &i_coo[i], &j_coo[i], &v_coo[i]);
i_coo[i]--; /* adjust from 1-based to 0-based */
j_coo[i]--;
}
fclose(f);
/* convert to SSS format */
convert_COO_SSS(*n, nz, i_coo, j_coo, v_coo, ia, ja, va, da);
free(i_coo); free(j_coo); free(v_coo);
}
int mm_is_valid ( MM_typecode matcode )
/******************************************************************************/
/*
Purpose:
MM_IS_VALID checks whether the MM header information is valid.
Modified:
31 October 2008
Parameters:
Input, MM_typecode MATCODE, the header information.
Output, int MM_IS_VALID, is TRUE if the matrix code is valid.
*/
{
if ( !mm_is_matrix ( matcode ) )
{
return 0;
}
if ( mm_is_dense ( matcode ) && mm_is_pattern ( matcode ) )
{
return 0;
}
if ( mm_is_real ( matcode ) && mm_is_hermitian ( matcode ) )
{
return 0;
}
if ( mm_is_pattern ( matcode ) &&
( mm_is_hermitian ( matcode ) || mm_is_skew ( matcode ) ) )
{
return 0;
}
return 1;
}
int mm_read_mtx_crd(char *fname, int *M, int *N, int *nz, int **I, int **J,
double **val, MM_typecode *matcode)
{
int ret_code;
FILE *f;
if (strcmp(fname, "stdin") == 0) f=stdin;
else
if ((f = fopen(fname, "r")) == NULL)
return MM_COULD_NOT_READ_FILE;
if ((ret_code = mm_read_banner(f, matcode)) != 0)
return ret_code;
if (!(mm_is_valid(*matcode) && mm_is_sparse(*matcode) &&
mm_is_matrix(*matcode)))
return MM_UNSUPPORTED_TYPE;
if ((ret_code = mm_read_mtx_crd_size(f, M, N, nz)) != 0)
return ret_code;
//*I = (int *) malloc(*nz * sizeof(int));
//*J = (int *) malloc(*nz * sizeof(int));
//*val = NULL;
*I = new int[*nz];
*J = new int[*nz];
*val = 0;
if (mm_is_complex(*matcode))
{
//*val = (double *) malloc(*nz * 2 * sizeof(double));
*val = new double[2*(*nz)];
ret_code = mm_read_mtx_crd_data(f, *M, *N, *nz, *I, *J, *val,
*matcode);
if (ret_code != 0) return ret_code;
}
else if (mm_is_real(*matcode))
{
//*val = (double *) malloc(*nz * sizeof(double));
*val = new double[*nz];
ret_code = mm_read_mtx_crd_data(f, *M, *N, *nz, *I, *J, *val,
*matcode);
if (ret_code != 0) return ret_code;
}
else if (mm_is_pattern(*matcode))
{
ret_code = mm_read_mtx_crd_data(f, *M, *N, *nz, *I, *J, *val,
*matcode);
if (ret_code != 0) return ret_code;
}
if (f != stdin) fclose(f);
return 0;
}
void convert_2_vec(const char * filename, shotgun_data * prob )
{
int ret_code;
MM_typecode matcode;
FILE *f;
int M, N, nz;
int i;
if ((f = fopen(filename, "r")) == NULL) {
printf("Could not file vector input file : %s.\n", filename);
exit(1);
}
if (mm_read_banner(f, &matcode) != 0)
{
printf("Could not process Matrix Market banner in input file %s.\n", filename);
exit(1);
}
/* This is how one can screen matrix types if their application */
/* only supports a subset of the Matrix Market data types. */
if (mm_is_complex(matcode) && mm_is_matrix(matcode) &&
mm_is_sparse(matcode) )
{
printf("Sorry, this application does not support ");
printf("Market Market type: [%s]\n", mm_typecode_to_str(matcode));
exit(1);
}
/* find out size of sparse matrix .... */
if ((ret_code = mm_read_mtx_crd_size(f, &M, &N, &nz)) !=0){
printf("Could not process Matrix Market size in input file: %s.\n", filename);
exit(1);
}
/* NOTE: when reading in doubles, ANSI C requires the use of the "l" */
/* specifier as in "%lg", "%lf", "%le", otherwise errors will occur */
/* (ANSI C X3.159-1989, Sec. 4.9.6.2, p. 136 lines 13-15) */
prob->y.reserve(nz);
int I,J;
double val;
for (i=0; i<nz; i++)
{
fscanf(f, "%d %d %lg\n", &I, &J, &val);
I--; /* adjust from 1-based to 0-based */
J--;
assert(J==0);
prob->y.push_back(val);
}
if (f !=stdin) fclose(f);
}
int mm_is_valid(MM_typecode matcode)
{
if (!mm_is_matrix(matcode)) return 0;
if (mm_is_dense(matcode) && mm_is_pattern(matcode)) return 0;
if (mm_is_real(matcode) && mm_is_hermitian(matcode)) return 0;
if (mm_is_pattern(matcode) && (mm_is_hermitian(matcode) ||
mm_is_skew(matcode))) return 0;
return 1;
}
void mm_typecode_to_str(MM_typecode matcode, char * buffer)
{
char type0[20];
char type1[20];
char type2[20];
char type3[20];
int error =0;
/* check for MTX type */
if (mm_is_matrix(matcode))
strcpy(type0, MM_MTX_STR);
else
error=1;
/* check for CRD or ARR matrix */
if (mm_is_sparse(matcode))
strcpy(type1, MM_SPARSE_STR);
else
if (mm_is_dense(matcode))
strcpy(type1, MM_DENSE_STR);
else
return;
/* check for element data type */
if (mm_is_real(matcode))
strcpy(type2, MM_REAL_STR);
else
if (mm_is_complex(matcode))
strcpy(type2, MM_COMPLEX_STR);
else
if (mm_is_pattern(matcode))
strcpy(type2, MM_PATTERN_STR);
else
if (mm_is_integer(matcode))
strcpy(type2, MM_INT_STR);
else
return;
/* check for symmetry type */
if (mm_is_general(matcode))
strcpy(type3, MM_GENERAL_STR);
else
if (mm_is_symmetric(matcode))
strcpy(type3, MM_SYMM_STR);
else
if (mm_is_hermitian(matcode))
strcpy(type3, MM_HERM_STR);
else
if (mm_is_skew(matcode))
strcpy(type3, MM_SKEW_STR);
else
return;
sprintf(buffer,"%s %s %s %s", type0, type1, type2, type3);
return;
}
int readSymmMatrix(char* filename, int& n, double*& v)
{
int m;
// try opening the files
FILE *fp;
if ((fp = fopen(filename, "r")) == NULL) {
fprintf(stderr, "Error occurs while reading from file %s.\n", filename);
return 1;
}
// try reading the banner
MM_typecode type;
if (mm_read_banner(fp, &type) != 0) {
fprintf(stderr, "Could not process Matrix Market banner.\n");
return 2;
}
// check the type
if (!mm_is_matrix(type) || !mm_is_array(type) || !mm_is_real(type) || !mm_is_symmetric(type)) {
fprintf(stderr, "Sorry, this application does not support Market Market type: [%s]\n",
mm_typecode_to_str(type));
return 3;
}
// read the sizes of the vectors
if (mm_read_mtx_array_size(fp, &m, &n)) {
fprintf(stderr, "Could not read the size of the matrix.\n");
return 4;
}
// check if it is a square matrix
if (n != m) {
fprintf(stderr, "Needs to be square.\n");
return 5;
}
// allocate the memory
printf("reading %s:\n\ta %d x %d matrix...", filename, m, n);
v = new double[m * n];
for (int j = 0; j < n; ++j) {
for (int i = j; i < m; ++i) {
fscanf(fp, "%lf\n", &v[i * n + j]);
if (i != j) {
v[j * n + i] = v[i * n + j];
}
}
}
printf("done\n");
// close the file
fclose(fp);
return 0;
}
/** Reads a matrix market file for a symmetric real valued sparse
matrix and returns the matrix in 1-indexed CSR form. */
void read_mm_sym_matrix(FILE* f, MM_typecode mcode,
int n, int nnzs,
double *values, int* col_ind, int *row_ptr
) {
if (!(mm_is_real(mcode) && mm_is_matrix(mcode) &&
mm_is_sparse(mcode) && mm_is_symmetric(mcode)) ) {
printf("First argument must be a symmetric, real-valued, sparse matrix\n");
printf("Market Market type: [%s]\n", mm_typecode_to_str(mcode));
exit(1);
}
// read Matrix Market matrix in COO format
int* I = (int *) malloc(nnzs * sizeof(int));
int *J = (int *) malloc(nnzs * sizeof(int));
double *val = (double *) malloc(nnzs * sizeof(double));
int i;
for (i=0; i<nnzs; i++) {
fscanf(f, "%d %d %lg\n", &I[i], &J[i], &val[i]);
I[i]--;
J[i]--;
}
MKL_INT job[] = {
1, // convert COO to CSR
1, // use 1 based indexing for CSR matrix (required by mkl_dcsrsymv)
0,
0, // Is this used?
nnzs,
0
};
MKL_INT info;
// convert COO matrix to CSR
mkl_dcsrcoo(job,
&n,
values,
col_ind,
row_ptr,
&nnzs,
val,
I,
J,
&info);
if (info != 0) {
printf("CSR to COO conversion failed: not enough memory!\n");
exit(1);
}
}
int mm_read_mtx_crd(char *fname, int *M, int *N, int *nz, int **I, int **J,
double **val, MM_typecode *matcode)
{
int ret_code;
ZOLTAN_FILE* f;
if ((f = ZOLTAN_FILE_open(fname, "r", STANDARD)) == NULL)
return MM_COULD_NOT_READ_FILE;
if ((ret_code = mm_read_banner(f, matcode)) != 0)
return ret_code;
if (!(mm_is_valid(*matcode) && mm_is_sparse(*matcode) &&
mm_is_matrix(*matcode)))
return MM_UNSUPPORTED_TYPE;
if ((ret_code = mm_read_mtx_crd_size(f, M, N, nz)) != 0)
return ret_code;
*I = (int *) malloc(*nz * sizeof(int));
*J = (int *) malloc(*nz * sizeof(int));
*val = NULL;
if (mm_is_complex(*matcode))
{
*val = (double *) malloc(*nz * 2 * sizeof(double));
ret_code = mm_read_mtx_crd_data(f, *M, *N, *nz, *I, *J, *val,
*matcode);
if (ret_code != 0) return ret_code;
}
else if (mm_is_real(*matcode))
{
*val = (double *) malloc(*nz * sizeof(double));
ret_code = mm_read_mtx_crd_data(f, *M, *N, *nz, *I, *J, *val,
*matcode);
if (ret_code != 0) return ret_code;
}
else if (mm_is_pattern(*matcode))
{
ret_code = mm_read_mtx_crd_data(f, *M, *N, *nz, *I, *J, *val,
*matcode);
if (ret_code != 0) return ret_code;
}
ZOLTAN_FILE_close(f);
return 0;
}
int readBandedMatrix(char* filename, int& n, int& t, int& nz, long long*& AR, long long*& AC, double*& AV)
{
// try opening the files
FILE *fp;
if ((fp = fopen(filename, "r")) == NULL) {
fprintf(stderr, "Error occurs while reading from file %s.\n", filename);
return 1;
}
// try reading the banner
MM_typecode type;
if (mm_read_banner(fp, &type)) {
fprintf(stderr, "Could not process Matrix Market banner.\n");
return 2;
}
// check the type
if (!mm_is_matrix(type) || !mm_is_coordinate(type) || !mm_is_real(type) || !mm_is_general(type)) {
fprintf(stderr, "Sorry, this application does not support Market Market type: [%s]\n",
mm_typecode_to_str(type));
return 3;
}
// read the sizes and nnz of the matrix
int m;
if (mm_read_mtx_crd_size(fp, &n, &m, &nz)) {
fprintf(stderr, "Could not read the size of the matrix.\n");
return 4;
}
printf("reading %s:\n\ta %d x %d banded matrix ", filename, n, m);
// allocate the memory
AR = new long long[nz];
AC = new long long[nz];
AV = new double[nz];
t = 0;
for (int i = 0; i < nz; ++i) {
fscanf(fp, "%d %d %lf\n", AR + i, AC + i, AV + i);
--AR[i]; // 0-indexing
--AC[i]; // 0-indexing
t = std::max(t, (int)(AR[i] - AC[i]));
}
printf("with bandwidth (2m + 1) = %d...done\n", 2 * t + 1);
// close the file
fclose(fp);
return 0;
}
bool loadMmProperties(int *rowsCount,
int *columnsCount,
int *nonZerosCount,
bool *isStoredSparse,
int* matrixStorage,
int* matrixType,
FILE *file)
{
MM_typecode matcode;
// supports only valid matrices
if ((mm_read_banner(file, &matcode) != 0)
|| (!mm_is_matrix(matcode))
|| (!mm_is_valid(matcode)))
return false;
if ( mm_read_mtx_crd_size(file, rowsCount, columnsCount, nonZerosCount) != 0 )
return false;
// is it stored sparse?
if (mm_is_sparse(matcode))
*isStoredSparse = true;
else
*isStoredSparse = false;
if (mm_is_integer(matcode))
*matrixStorage = MATRIX_STORAGE_INTEGER;
else if (mm_is_real(matcode))
*matrixStorage = MATRIX_STORAGE_REAL;
else if (mm_is_complex(matcode))
*matrixStorage = MATRIX_STORAGE_COMPLEX;
else if (mm_is_pattern(matcode))
*matrixStorage = MATRIX_STORAGE_PATTERN;
if (mm_is_general(matcode))
*matrixType = MATRIX_TYPE_GENERAL;
else if (mm_is_symmetric(matcode))
*matrixType = MATRIX_TYPE_SYMMETRIC;
else if (mm_is_skew(matcode))
*matrixType = MATRIX_TYPE_SKEW;
else if (mm_is_hermitian(matcode))
*matrixType = MATRIX_TYPE_HERMITIAN;
return true;
}
int DenseMatrix_mm_read_strassen(DenseMatrix *m, char *file_name, int *nr_rows, int *nr_cols) {
int res;
MM_typecode matcode;
FILE *file;
file = fopen(file_name, "r");
CHECK_NULL_RETURN(file);
res = mm_read_banner(file, &matcode);
CHECK_ZERO_ERROR_RETURN(res, "Failed to read matrix code");
CHECK_ERROR_RETURN(!mm_is_matrix(matcode), "File is not a matrix", 1);
if (mm_is_sparse(matcode)) {
int nr_sparse_elements;
res = mm_read_mtx_crd_size(file, nr_rows, nr_cols, &nr_sparse_elements);
CHECK_ZERO_ERROR_RETURN(res, "Failed to read sparse mm dimensions");
int dim = pow2dim(*nr_rows, *nr_cols);
// Initialzie matrix to zero to fill in with sparse elements
res = DenseMatrix_init_zero(m, dim, dim);
CHECK_ZERO_ERROR_RETURN(res, "Failed to allocate memory for mm matrix");
res = DenseMatrix_parse_mm_sparse(m, file, nr_sparse_elements);
} else if (mm_is_dense(matcode)) {
res = mm_read_mtx_array_size(file, nr_rows, nr_cols);
CHECK_ZERO_ERROR_RETURN(res, "Failed to read dense mm dimensions");
int dim = pow2dim(*nr_rows, *nr_cols);
res = DenseMatrix_init_zero(m, dim, dim);
CHECK_ZERO_ERROR_RETURN(res, "Failed to allocate memory for mm matrix");
res = DenseMatrix_parse_mm_dense(m, file);
} else {
ERROR("mm matrix code is not supported. Only supports dense and sparse matrices");
}
CHECK_ZERO_ERROR_RETURN(res, "Failed to parse mm file");
return 0;
}
int MatrixMarketFileToRowMap(const char* filename,
const Epetra_Comm& comm,
Epetra_BlockMap*& rowmap)
{
FILE* infile = fopen(filename, "r");
MM_typecode matcode;
int err = mm_read_banner(infile, &matcode);
if (err != 0) return(err);
if (!mm_is_matrix(matcode) || !mm_is_coordinate(matcode) ||
!mm_is_real(matcode) || !mm_is_general(matcode)) {
return(-1);
}
int numrows, numcols;
err = mm_read_mtx_array_size(infile, &numrows, &numcols);
if (err != 0) return(err);
fclose(infile);
rowmap = new Epetra_BlockMap(numrows, 1, 0, comm);
return(0);
}
bool MatrixMarket::read_matrix(const char *file_name) {
int ret_code;
MM_typecode matcode;
FILE *f;
int i;//, *I(NULL); //, *J;
// double *val;
if ((f = fopen(file_name, "r")) == NULL)
return false;
if (mm_read_banner(f, &matcode) != 0)
{
printf("Could not process Matrix Market banner.\n");
return false;
}
/* This is how one can screen matrix types if their application */
/* only supports a subset of the Matrix Market data types. */
if (mm_is_complex(matcode) && mm_is_matrix(matcode) &&
mm_is_sparse(matcode) )
{
printf("Sorry, this application does not support ");
printf("Market Market type: [%s]\n", mm_typecode_to_str(matcode));
return false;
}
/* find out size of sparse matrix .... */
int _num_rows, _num_cols, _num_nnzs;
if ((ret_code = mm_read_mtx_crd_size(f, &_num_rows, &_num_cols, &_num_nnzs)) !=0)
return false;
bool is_vector = (_num_rows == _num_nnzs) && (_num_cols == 1);
// convert to 64 bit
m_num_rows = _num_rows;
m_num_cols = _num_cols;
m_num_nnzs = _num_nnzs;
/* reseve memory for matrices */
// I = (int *) malloc(nz * sizeof(int));
// J = (int *) malloc(nz * sizeof(int));
// val = (double *) malloc(nz * sizeof(double));
m_rows.resize(m_num_nnzs);
m_cols.resize(m_num_nnzs);
m_coefs.resize(m_num_nnzs);
/* NOTE: when reading in doubles, ANSI C requires the use of the "l" */
/* specifier as in "%lg", "%lf", "%le", otherwise errors will occur */
/* (ANSI C X3.159-1989, Sec. 4.9.6.2, p. 136 lines 13-15) */
if (is_vector) {
for (i=0; i<m_num_nnzs; i++) {
fscanf(f, "%lg\n", &(m_coefs[i]));
m_rows[i] = i;
m_cols[i] = 0;
}
if (f !=stdin) fclose(f);
return true;
}
std::vector<std::map<int32_t,double> > elements;
elements.resize(m_num_rows);
for (i=0; i<m_num_nnzs; i++)
{
fscanf(f, "%d %d %lg\n", &(m_rows[i]), &(m_cols[i]), &(m_coefs[i]));
m_rows[i]--; /* adjust from 1-based to 0-based */
m_cols[i]--;
elements[m_rows[i]][m_cols[i]] += m_coefs[i];
}
// now sort by rows
std::vector<int> m_rows2;
std::vector<int32_t> m_cols2;
std::vector<double> m_coefs2;
m_rows2.resize(m_num_nnzs);
m_cols2.resize(m_num_nnzs);
m_coefs2.resize(m_num_nnzs);
int index=0;
for (int row=0; row<m_num_rows; row++) {
assert((int)elements[row].size() > 0);
// Make sure diagonal element is first
if (elements[row].find(row) != elements[row].end()) {
m_cols2[index] = row;
m_rows2[index] = row;
m_coefs2[index] = elements[row][row];
assert (m_coefs2[index] != 0.0);
index++;
}
else
assert(0);
for (auto iter = elements[row].begin(); iter != elements[row].end(); iter++) {
int col = iter->first;
if (col != row) {
double C = iter->second;
assert(col < m_num_cols);
m_rows2[index] = row;
m_cols2[index] = col;
m_coefs2[index] = C;
index++;
}
}
}
if (f !=stdin) fclose(f);
m_rows.swap(m_rows2);
m_cols.swap(m_cols2);
m_coefs.swap(m_coefs2);
/* convert coo to csr row ptrs */
coo_to_csr_rows(m_rows, m_num_rows, m_row_ptrs);
return true;
// /************************/
// /* now write out matrix */
// /************************/
// mm_write_banner(stdout, matcode);
// mm_write_mtx_crd_size(stdout, m_num_rows, m_num_cols, m_num_nnzs);
// for (i=0; i<nz; i++)
// fprintf(stdout, "%d %d %20.19g\n", I[i]+1, J[i]+1, val[i]);
// free(I);
}
int mm_read_mtx_crd(char *fname, int *M, int *N, int *nz, int **I, int **J,
double **val, MM_typecode *matcode)
/******************************************************************************/
/*
Purpose:
MM_READ_MTX_CRD reads the values in an MM coordinate file.
Discussion:
This function allocates the storage for the arrays.
Modified:
31 October 2008
Parameters:
*/
/*
mm_read_mtx_crd() fills M, N, nz, array of values, and return
type code, e.g. 'MCRS'
if matrix is complex, values[] is of size 2*nz,
(nz pairs of real/imaginary values)
*/
{
int ret_code;
FILE *f;
if (strcmp(fname, "stdin") == 0) f=stdin;
else
if ((f = fopen(fname, "r")) == NULL)
return MM_COULD_NOT_READ_FILE;
if ((ret_code = mm_read_banner(f, matcode)) != 0)
return ret_code;
if (!(mm_is_valid(*matcode) && mm_is_sparse(*matcode) &&
mm_is_matrix(*matcode)))
return MM_UNSUPPORTED_TYPE;
if ((ret_code = mm_read_mtx_crd_size(f, M, N, nz)) != 0)
return ret_code;
*I = (int *) malloc(*nz * sizeof(int));
*J = (int *) malloc(*nz * sizeof(int));
*val = NULL;
if (mm_is_complex(*matcode))
{
*val = (double *) malloc(*nz * 2 * sizeof(double));
ret_code = mm_read_mtx_crd_data(f, *M, *N, *nz, *I, *J, *val,
*matcode);
if (ret_code != 0) return ret_code;
}
else if (mm_is_real(*matcode))
{
*val = (double *) malloc(*nz * sizeof(double));
ret_code = mm_read_mtx_crd_data(f, *M, *N, *nz, *I, *J, *val,
*matcode);
if (ret_code != 0) return ret_code;
}
else if (mm_is_pattern(*matcode))
{
ret_code = mm_read_mtx_crd_data(f, *M, *N, *nz, *I, *J, *val,
*matcode);
if (ret_code != 0) return ret_code;
}
if (f != stdin) fclose(f);
return 0;
}
int mm_read_unsymmetric_sparse(const char *fname, int *M_, int *N_, int *nz_,
double **val_, int **I_, int **J_)
{
FILE *f;
MM_typecode matcode;
int M, N, nz;
int i;
double *val;
int *I, *J;
if ((f = fopen(fname, "r")) == NULL)
return -1;
if (mm_read_banner(f, &matcode) != 0)
{
printf("mm_read_unsymetric: Could not process Matrix Market banner ");
printf(" in file [%s]\n", fname);
return -1;
}
if ( !(mm_is_real(matcode) && mm_is_matrix(matcode) &&
mm_is_sparse(matcode)))
{
fprintf(stderr, "Sorry, this application does not support ");
fprintf(stderr, "Market Market type: [%s]\n",
mm_typecode_to_str(matcode));
return -1;
}
/* find out size of sparse matrix: M, N, nz .... */
if (mm_read_mtx_crd_size(f, &M, &N, &nz) !=0)
{
fprintf(stderr, "read_unsymmetric_sparse(): could not parse matrix size.\n");
return -1;
}
*M_ = M;
*N_ = N;
*nz_ = nz;
/* reseve memory for matrices */
I = (int *) malloc(nz * sizeof(int));
J = (int *) malloc(nz * sizeof(int));
val = (double *) malloc(nz * sizeof(double));
*val_ = val;
*I_ = I;
*J_ = J;
/* NOTE: when reading in doubles, ANSI C requires the use of the "l" */
/* specifier as in "%lg", "%lf", "%le", otherwise errors will occur */
/* (ANSI C X3.159-1989, Sec. 4.9.6.2, p. 136 lines 13-15) */
for (i=0; i<nz; i++)
{
fscanf(f, "%d %d %lg\n", &I[i], &J[i], &val[i]);
I[i]--; /* adjust from 1-based to 0-based */
J[i]--;
}
fclose(f);
return 0;
}
vec load_matrix_market_vector(const std::string & filename, bool optional_field, bool allow_zeros)
{
int ret_code;
MM_typecode matcode;
uint M, N;
size_t i,nz;
logstream(LOG_INFO) <<"Going to read matrix market vector from input file: " << filename << std::endl;
FILE * f = open_file(filename.c_str(), "r", optional_field);
//if optional file not found return
if (f== NULL && optional_field){
return zeros(1);
}
if (mm_read_banner(f, &matcode) != 0)
logstream(LOG_FATAL) << "Could not process Matrix Market banner." << std::endl;
/* This is how one can screen matrix types if their application */
/* only supports a subset of the Matrix Market data types. */
if (mm_is_complex(matcode) && mm_is_matrix(matcode) &&
mm_is_sparse(matcode) )
logstream(LOG_FATAL) << "sorry, this application does not support " << std::endl <<
"Market Market type: " << mm_typecode_to_str(matcode) << std::endl;
/* find out size of sparse matrix .... */
if (mm_is_sparse(matcode)){
if ((ret_code = mm_read_mtx_crd_size(f, &M, &N, &nz)) !=0)
logstream(LOG_FATAL) << "failed to read matrix market cardinality size " << std::endl;
}
else {
if ((ret_code = mm_read_mtx_array_size(f, &M, &N))!= 0)
logstream(LOG_FATAL) << "failed to read matrix market vector size " << std::endl;
if (N > M){ //if this is a row vector, transpose
int tmp = N;
N = M;
M = tmp;
}
nz = M*N;
}
vec ret = zeros(M);
uint row,col;
double val;
for (i=0; i<nz; i++)
{
if (mm_is_sparse(matcode)){
int rc = fscanf(f, "%u %u %lg\n", &row, &col, &val);
if (rc != 3){
logstream(LOG_FATAL) << "Failed reading input file: " << filename << "Problm at data row " << i << " (not including header and comment lines)" << std::endl;
}
row--; /* adjust from 1-based to 0-based */
col--;
}
else {
int rc = fscanf(f, "%lg\n", &val);
if (rc != 1){
logstream(LOG_FATAL) << "Failed reading input file: " << filename << "Problm at data row " << i << " (not including header and comment lines)" << std::endl;
}
row = i;
col = 0;
}
//some users have gibrish in text file - better check both I and J are >=0 as well
assert(row >=0 && row< M);
assert(col == 0);
if (val == 0 && !allow_zeros)
logstream(LOG_FATAL)<<"Zero entries are not allowed in a sparse matrix market vector. Use --zero=true to avoid this error"<<std::endl;
//set observation value
ret[row] = val;
}
fclose(f);
logstream(LOG_INFO)<<"Succesfully read a vector of size: " << M << " [ " << nz << "]" << std::endl;
return ret;
}
int main(int argc, char *argv[]) {
FILE *input_file, *output_file, *time_file;
if (argc < 4) {
fprintf(stderr, "Invalid input parameters\n");
fprintf(stderr, "Usage: %s inputfile outputfile timefile \n", argv[0]);
exit(1);
}
else {
input_file = fopen(argv[1], "r");
output_file = fopen(argv[2], "w");
time_file = fopen(argv[3], "w");
if (!input_file || !output_file || !time_file)
exit(1);
}
MM_typecode matcode;
if (mm_read_banner(input_file, &matcode) != 0) {
printf("Could not process Matrix Market banner.\n");
exit(1);
}
if (!mm_is_matrix(matcode) || !mm_is_real(matcode) || !mm_is_coordinate(matcode)) {
printf("Sorry, this application does not support ");
printf("Market Market type: [%s]\n", mm_typecode_to_str(matcode));
exit(1);
}
mtxMatrix inputMatrix, fullMatrix, LMatrix, UMatrix, UMatrixTranspose, MMatrix;
ReadMatrix(inputMatrix, input_file);
Timer timer;
getRowIndex(&inputMatrix, inputMatrix.RowIndex);
inputMatrix.RowIndex[inputMatrix.N] = inputMatrix.NZ;
int diagNum = 0;
for (int i = 0; i < inputMatrix.N; i++) {
for (int j = inputMatrix.RowIndex[i]; j < inputMatrix.RowIndex[i + 1]; j++) {
if (i == inputMatrix.Col[j]) diagNum++;
}
}
if (mm_is_symmetric(matcode)) {
InitializeMatrix(inputMatrix.N, 2 * inputMatrix.NZ - diagNum, fullMatrix);
TriangleToFull(&inputMatrix, &fullMatrix);
FreeMatrix(inputMatrix);
}
else {
fullMatrix = inputMatrix;
}
int *diag = new int[fullMatrix.N];
for (int i = 0; i < fullMatrix.N; i++) {
for (int j = fullMatrix.RowIndex[i]; j < fullMatrix.RowIndex[i + 1]; j++) {
if (i == fullMatrix.Col[j]) diag[i] = j;
}
}
// for (int i = 0; i < fullMatrix.N + 1; i++) {
// printf("RowIndex[%i] = %i\n", i, fullMatrix.RowIndex[i]);
// }
//
//
// for (int i = 0; i < fullMatrix.N; i++) {
// printf("input[%i]= %lf\n", i, fullMatrix.Value[inputMatrix.RowIndex[i]]);
// }
//
// for (int i = 0; i < fullMatrix.N; i++) {
// printf("diag[%i]= %d\n", i, diag[i]);
// }
timer.start();
ilu0(fullMatrix, fullMatrix.Value, diag);
LUmatrixSeparation(fullMatrix, diag, LMatrix, UMatrix);
Transpose(UMatrix, UMatrixTranspose);
Multiplicate(LMatrix, UMatrixTranspose, MMatrix);
timer.stop();
std::ofstream timeLog;
timeLog.open(argv[3]);
timeLog << timer.getElapsed();
WriteFullMatrix(MMatrix, output_file, matcode);
FreeMatrix(fullMatrix);
return 0;
}
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;
}
char *mm_typecode_to_str(MM_typecode matcode)
{
char buffer[MM_MAX_LINE_LENGTH];
const char *types[4];
char *mm_strdup(const char *);
int error =0;
/* check for MTX type */
if (mm_is_matrix(matcode))
types[0] = MM_MTX_STR;
else {
types[0] = NULL;
error=1;
}
/* check for CRD or ARR matrix */
if (mm_is_sparse(matcode))
types[1] = MM_SPARSE_STR;
else
if (mm_is_dense(matcode))
types[1] = MM_DENSE_STR;
else
return NULL;
/* check for element data type */
if (mm_is_real(matcode))
types[2] = MM_REAL_STR;
else
if (mm_is_complex(matcode))
types[2] = MM_COMPLEX_STR;
else
if (mm_is_pattern(matcode))
types[2] = MM_PATTERN_STR;
else
if (mm_is_integer(matcode))
types[2] = MM_INT_STR;
else
return NULL;
/* check for symmetry type */
if (mm_is_general(matcode))
types[3] = MM_GENERAL_STR;
else
if (mm_is_symmetric(matcode))
types[3] = MM_SYMM_STR;
else
if (mm_is_hermitian(matcode))
types[3] = MM_HERM_STR;
else
if (mm_is_skew(matcode))
types[3] = MM_SKEW_STR;
else
return NULL;
if( error == 1 )
sprintf(buffer,"Object to write is not a matrix; this is unsupported by the current mmio code.");
else
sprintf(buffer,"%s %s %s %s", types[0], types[1], types[2], types[3]);
return mm_strdup(buffer);
}
int MatrixMarketFileToBlockMaps(const char* filename,
const Epetra_Comm& comm,
Epetra_BlockMap*& rowmap,
Epetra_BlockMap*& colmap,
Epetra_BlockMap*& rangemap,
Epetra_BlockMap*& domainmap)
{
FILE* infile = fopen(filename, "r");
if (infile == NULL) {
return(-1);
}
MM_typecode matcode;
int err = mm_read_banner(infile, &matcode);
if (err != 0) return(err);
if (!mm_is_matrix(matcode) || !mm_is_coordinate(matcode) ||
!mm_is_real(matcode) || !mm_is_general(matcode)) {
return(-1);
}
int numrows, numcols, nnz;
err = mm_read_mtx_crd_size(infile, &numrows, &numcols, &nnz);
if (err != 0) return(err);
//for this case, we'll assume that the row-map is the same as
//the range-map.
//create row-map and range-map with linear distributions.
rowmap = new Epetra_BlockMap(numrows, 1, 0, comm);
rangemap = new Epetra_BlockMap(numrows, 1, 0, comm);
int I, J;
double val, imag;
int num_map_cols = 0, insertPoint, foundOffset;
int allocLen = numcols;
int* map_cols = new int[allocLen];
//read through all matrix data and construct a list of the column-
//indices that occur in rows that are local to this processor.
for(int i=0; i<nnz; ++i) {
err = mm_read_mtx_crd_entry(infile, &I, &J, &val,
&imag, matcode);
if (err == 0) {
--I;
--J;
if (rowmap->MyGID(I)) {
foundOffset = Epetra_Util_binary_search(J, map_cols, num_map_cols,
insertPoint);
if (foundOffset < 0) {
Epetra_Util_insert(J, insertPoint, map_cols,
num_map_cols, allocLen);
}
}
}
}
//create colmap with the list of columns associated with rows that are
//local to this processor.
colmap = new Epetra_Map(-1, num_map_cols, map_cols, 0, comm);
//create domainmap which has a linear distribution
domainmap = new Epetra_BlockMap(numcols, 1, 0, comm);
delete [] map_cols;
return(0);
}
int readSparseMatrix(char * filename, PetscInt & n, PetscInt & nz, PetscInt *& nnz, int *& i, int *& j, double *& v)
{
int in, m, inz;
// try opening the files
FILE *fp;
if ((fp = fopen(filename, "r")) == NULL) {
fprintf(stderr, "Error occurs while reading from file %s.\n", filename);
return 1;
}
// try reading the banner
MM_typecode type;
if (mm_read_banner(fp, &type) != 0) {
fprintf(stderr, "Could not process Matrix Market banner.\n");
return 2;
}
// check the type
if (!mm_is_matrix(type) || !mm_is_coordinate(type) || !mm_is_real(type) || !mm_is_symmetric(type)) {
fprintf(stderr, "Sorry, this application does not support Market Market type: [%s]\n",
mm_typecode_to_str(type));
return 3;
}
// read the sizes of the vectors
if (mm_read_mtx_crd_size(fp, &in, &m, &inz)) {
fprintf(stderr, "Could not read the size of the matrix.\n");
return 4;
}
n = in;
nz = inz;
// check if it is a square matrix
if (in != m) {
fprintf(stderr, "Needs to be square.\n");
return 5;
}
// allocate the memory
printf("reading %s:\n\ta %d x %d sparse matrix with %d nonzeros...", filename, m, in, inz);
i = new int[nz];
j = new int[nz];
v = new double[nz];
nnz = new PetscInt[n]();
for (int k = 0; k < inz; ++k) {
fscanf(fp, "%u %u %lf\n", &j[k], &i[k], &v[k]);
--i[k];
--j[k];
++nnz[i[k]];
if (i[k] != j[k]) {
++nnz[j[k]];
}
}
printf("done\n");
// close the file
fclose(fp);
return 0;
}
//------------------------------------------------------------------------
int test_mm_read(std::string filename)
{
int ret_code;
MM_typecode matcode;
FILE *f;
int M, N, nz;
int i, *I, *J;
double *val;
int err=0;
if ((f = fopen(filename.c_str(), "r")) == NULL)
return -1;
if (mm_read_banner(f, &matcode) != 0)
{
printf("Could not process Matrix Market banner.\n");
return -2;
}
/* This is how one can screen matrix types if their application */
/* only supports a subset of the Matrix Market data types. */
if (mm_is_complex(matcode) && mm_is_matrix(matcode) &&
mm_is_sparse(matcode) )
{
printf("Sorry, this application does not support ");
printf("Market Market type: [%s]\n", mm_typecode_to_str(matcode));
return -3;
}
/* find out size of sparse matrix .... */
if ((ret_code = mm_read_mtx_crd_size(f, &M, &N, &nz)) !=0)
return -4;
/* reseve memory for matrices */
I = (int *) malloc(nz * sizeof(int));
J = (int *) malloc(nz * sizeof(int));
val = (double *) malloc(nz * sizeof(double));
/* NOTE: when reading in doubles, ANSI C requires the use of the "l" */
/* specifier as in "%lg", "%lf", "%le", otherwise errors will occur */
/* (ANSI C X3.159-1989, Sec. 4.9.6.2, p. 136 lines 13-15) */
for (i=0; i<nz; i++)
{
fscanf(f, "%d %d %lg\n", &I[i], &J[i], &val[i]);
I[i]--; /* adjust from 1-based to 0-based */
J[i]--;
}
if (f !=stdin) fclose(f);
/************************/
/* now write out matrix */
/************************/
fprintf(stdout, "Read full file contents: \n================================\n");
err += mm_write_banner(stdout, matcode);
err += mm_write_mtx_crd_size(stdout, M, N, nz);
for (i=0; i<nz; i++)
{
fprintf(stdout, "%d %d %lg\n", I[i]+1, J[i]+1, val[i]);
}
return err;
}
char *mm_typecode_to_str ( MM_typecode matcode )
/******************************************************************************/
/*
Purpose:
MM_TYPECODE_TO_STR converts the internal typecode to an MM header string.
Modified:
31 October 2008
*/
{
char buffer[MM_MAX_LINE_LENGTH];
char *types[4];
char *mm_strdup(const char *);
//int error =0;
/*
check for MTX type
*/
if (mm_is_matrix(matcode))
types[0] = MM_MTX_STR;
// else
// error=1;
/*
check for CRD or ARR matrix
*/
if (mm_is_sparse(matcode))
types[1] = MM_SPARSE_STR;
else
if (mm_is_dense(matcode))
types[1] = MM_DENSE_STR;
else
return NULL;
/*
check for element data type
*/
if (mm_is_real(matcode))
types[2] = MM_REAL_STR;
else
if (mm_is_complex(matcode))
types[2] = MM_COMPLEX_STR;
else
if (mm_is_pattern(matcode))
types[2] = MM_PATTERN_STR;
else
if (mm_is_integer(matcode))
types[2] = MM_INT_STR;
else
return NULL;
/*
check for symmetry type
*/
if (mm_is_general(matcode))
types[3] = MM_GENERAL_STR;
else
if (mm_is_symmetric(matcode))
types[3] = MM_SYMM_STR;
else
if (mm_is_hermitian(matcode))
types[3] = MM_HERM_STR;
else
if (mm_is_skew(matcode))
types[3] = MM_SKEW_STR;
else
return NULL;
sprintf(buffer,"%s %s %s %s", types[0], types[1], types[2], types[3]);
return mm_strdup(buffer);
}
static void read_mtx_and_return_csr(
int argc, char **argv, int *mm, int *nn, int **ia, int **ja, double **aa)
{
int ret_code;
MM_typecode matcode;
FILE *f;
int m, n, nz;
int i, *I, *J;
double *val;
if (argc < 2)
{
fprintf(stderr, "Usage: %s [martix-market-filename]\n", argv[0]);
exit(1);
}
else
{
printf("\n===================================\n");
printf("mtx file = %s\n", argv[1]);
if ((f = fopen(argv[1], "r")) == NULL)
{
printf("Could not open %s\n", argv[1]);
exit(1);
}
}
if (mm_read_banner(f, &matcode) != 0)
{
printf("Could not process Matrix Market banner.\n");
exit(1);
}
/* This is how one can screen matrix types if their application */
/* only supports a subset of the Matrix Market data types. */
if ( mm_is_pattern(matcode)
|| mm_is_dense(matcode)
|| mm_is_array(matcode) )
{
printf("Sorry, this application does not support ");
printf("Market Market type: [%s]\n", mm_typecode_to_str(matcode));
exit(1);
}
if (mm_is_complex(matcode) && mm_is_matrix(matcode) &&
mm_is_sparse(matcode) )
{
printf("Sorry, this application does not support ");
printf("Market Market type: [%s]\n", mm_typecode_to_str(matcode));
exit(1);
}
/* find out size of sparse matrix .... */
if ((ret_code = mm_read_mtx_crd_size(f, &m, &n, &nz)) !=0)
exit(1);
/* reseve memory for matrices */
I = (int *) malloc(nz * sizeof(int));
J = (int *) malloc(nz * sizeof(int));
val = (double *) malloc(nz * sizeof(double));
/* NOTE: when reading in doubles, ANSI C requires the use of the "l" */
/* specifier as in "%lg", "%lf", "%le", otherwise errors will occur */
/* (ANSI C X3.159-1989, Sec. 4.9.6.2, p. 136 lines 13-15) */
for (i=0; i<nz; i++)
{
fscanf(f, "%d %d %lg\n", &I[i], &J[i], &val[i]);
I[i]--; /* adjust from 1-based to 0-based */
J[i]--;
}
if (f !=stdin) fclose(f);
if (m != n) exit(1);
*mm = m;
*nn = n;
*ia = (int*) malloc (sizeof(int) * (n+1));
*ja = (int*) malloc (sizeof(int) * nz);
*aa = (double*) malloc (sizeof(double) * nz);
coo2csr(n, nz, val, I, J, *aa, *ja, *ia);
free (I);
free (J);
free (val);
}
void HostMatrixCOO<ValueType>::ReadFileMTX(const std::string filename) {
// Follow example_read.c (from Matrix Market web site)
int ret_code;
MM_typecode matcode;
FILE *f;
int M, N;
int fnz, nnz; // file nnz, real nnz
bool sym = false;
LOG_INFO("ReadFileMTX: filename="<< filename << "; reading...");
if ((f = fopen(filename.c_str(), "r")) == NULL) {
LOG_INFO("ReadFileMTX cannot open file " << filename);
FATAL_ERROR(__FILE__, __LINE__);
}
if (mm_read_banner(f, &matcode) != 0)
{
LOG_INFO("ReadFileMTX could not process Matrix Market banner.");
FATAL_ERROR(__FILE__, __LINE__);
}
/* This is how one can screen matrix types if their application */
/* only supports a subset of the Matrix Market data types. */
if (mm_is_complex(matcode) && mm_is_matrix(matcode) &&
mm_is_sparse(matcode) )
{
LOG_INFO("ReadFileMTX does not support Market Market type:" << mm_typecode_to_str(matcode));
FATAL_ERROR(__FILE__, __LINE__);
}
/* find out size of sparse matrix .... */
if ((ret_code = mm_read_mtx_crd_size(f, &M, &N, &fnz)) !=0) {
LOG_INFO("ReadFileMTX matrix size error");
FATAL_ERROR(__FILE__, __LINE__);
}
nnz = fnz ;
/* reseve memory for matrices */
if(mm_is_symmetric(matcode)) {
if (N != M) {
LOG_INFO("ReadFileMTX non-squared symmetric matrices are not supported");
LOG_INFO("What is symmetric and non-squared matrix? e-mail me");
FATAL_ERROR(__FILE__, __LINE__);
}
nnz = 2*(nnz - N) + N;
sym = true ;
}
this->AllocateCOO(nnz,M,N);
int ii=0;
int col, row;
double val;
int ret;
for (int i=0; i<fnz; ++i) {
ret = fscanf(f, "%d %d %lg\n", &row, &col, &val);
if (!ret) FATAL_ERROR(__FILE__, __LINE__);
row--; /* adjust from 1-based to 0-based */
col--;
assert (ret == 3);
// LOG_INFO(row << " " << col << " " << val);
this->mat_.row[ii] = row;
this->mat_.col[ii] = col;
this->mat_.val[ii] = val;
if (sym && (row!=col)) {
++ii;
this->mat_.row[ii] = col;
this->mat_.col[ii] = row;
this->mat_.val[ii] = val;
}
++ii;
}
LOG_INFO("ReadFileMTX: filename="<< filename << "; done");
fclose(f);
}
bcsr_t *mm_file_to_bcsr(char *filename, unsigned c, unsigned r)
{
FILE *f;
MM_typecode matcode;
int ret_code;
int M, N;
int nz;
int i;
unsigned *I, *J;
float *val;
bcsr_t *bcsr;
if ((f = fopen(filename, "r")) == NULL)
exit(1);
if (mm_read_banner(f, &matcode) != 0)
{
printf("Could not process Matrix Market banner.\n");
exit(1);
}
/* This is how one can screen matrix types if their application */
/* only supports a subset of the Matrix Market data types. */
if (mm_is_complex(matcode) && mm_is_matrix(matcode) && mm_is_sparse(matcode) )
{
printf("Sorry, this application does not support ");
printf("Market Market type: [%s]\n", mm_typecode_to_str(matcode));
exit(1);
}
/* find out size of sparse matrix .... */
if ((ret_code = mm_read_mtx_crd_size(f, &M, &N, &nz)) !=0)
exit(1);
/* reseve memory for matrices */
I = malloc(nz * sizeof(unsigned));
J = malloc(nz * sizeof(unsigned));
/* XXX float ! */
val = (float *) malloc(nz * sizeof(float));
for (i=0; i<nz; i++)
{
fscanf(f, "%d %d %f\n", &I[i], &J[i], &val[i]);
I[i]--; /* adjust from 1-based to 0-based */
J[i]--;
}
if (f !=stdin) fclose(f);
bcsr = mm_to_bcsr((unsigned)nz, I, J, val, c, r);
free(I);
free(J);
free(val);
return bcsr;
}
