static PyObject *Py_sgssv (PyObject *self, PyObject *args, PyObject *kwdict)
{
PyObject *Py_B=NULL, *Py_X=NULL;
PyArrayObject *nzvals=NULL;
PyArrayObject *colind=NULL, *rowptr=NULL;
int N, nnz;
int info;
int csc=0, permc_spec=2;
int *perm_r=NULL, *perm_c=NULL;
SuperMatrix A, B, L, U;
superlu_options_t options;
SuperLUStat_t stat;
static char *kwlist[] = {"N","nnz","nzvals","colind","rowptr","B", "csc", "permc_spec",NULL};
/* Get input arguments */
if (!PyArg_ParseTupleAndKeywords(args, kwdict, "iiO!O!O!O|ii", kwlist, &N, &nnz, &PyArray_Type, &nzvals, &PyArray_Type, &colind, &PyArray_Type, &rowptr, &Py_B, &csc, &permc_spec))
return NULL;
if (!_CHECK_INTEGER(colind) || !_CHECK_INTEGER(rowptr)) {
PyErr_SetString(PyExc_TypeError, "colind and rowptr must be of type cint");
return NULL;
}
/* Create Space for output */
Py_X = PyArray_CopyFromObject(Py_B,PyArray_FLOAT,1,2);
if (Py_X == NULL) return NULL;
if (csc) {
if (NCFormat_from_spMatrix(&A, N, N, nnz, nzvals, colind, rowptr, PyArray_FLOAT)) {
Py_DECREF(Py_X);
return NULL;
}
}
else {
if (NRFormat_from_spMatrix(&A, N, N, nnz, nzvals, colind, rowptr, PyArray_FLOAT)) {
Py_DECREF(Py_X);
return NULL;
}
}
if (DenseSuper_from_Numeric(&B, Py_X)) {
Destroy_SuperMatrix_Store(&A);
Py_DECREF(Py_X);
return NULL;
}
/* B and Py_X share same data now but Py_X "owns" it */
/* Setup options */
if (setjmp(_superlu_py_jmpbuf)) goto fail;
else {
perm_c = intMalloc(N);
perm_r = intMalloc(N);
set_default_options(&options);
options.ColPerm=superlu_module_getpermc(permc_spec);
StatInit(&stat);
/* Compute direct inverse of sparse Matrix */
sgssv(&options, &A, perm_c, perm_r, &L, &U, &B, &stat, &info);
}
SUPERLU_FREE(perm_r);
SUPERLU_FREE(perm_c);
Destroy_SuperMatrix_Store(&A);
Destroy_SuperMatrix_Store(&B);
Destroy_SuperNode_Matrix(&L);
Destroy_CompCol_Matrix(&U);
StatFree(&stat);
return Py_BuildValue("Ni", Py_X, info);
fail:
SUPERLU_FREE(perm_r);
SUPERLU_FREE(perm_c);
Destroy_SuperMatrix_Store(&A);
Destroy_SuperMatrix_Store(&B);
Destroy_SuperNode_Matrix(&L);
Destroy_CompCol_Matrix(&U);
StatFree(&stat);
Py_XDECREF(Py_X);
return NULL;
}
static PyObject *
Py_gssv(PyObject *self, PyObject *args, PyObject *kwdict)
{
PyObject *Py_B=NULL, *Py_X=NULL;
PyArrayObject *nzvals=NULL;
PyArrayObject *colind=NULL, *rowptr=NULL;
int N, nnz;
int info;
int csc=0;
int *perm_r=NULL, *perm_c=NULL;
SuperMatrix A, B, L, U;
superlu_options_t options;
SuperLUStat_t stat;
PyObject *option_dict = NULL;
int type;
int ssv_finished = 0;
static char *kwlist[] = {"N","nnz","nzvals","colind","rowptr","B", "csc",
"options",NULL};
/* Get input arguments */
if (!PyArg_ParseTupleAndKeywords(args, kwdict, "iiO!O!O!O|iO", kwlist,
&N, &nnz, &PyArray_Type, &nzvals,
&PyArray_Type, &colind, &PyArray_Type,
&rowptr, &Py_B, &csc, &option_dict)) {
return NULL;
}
if (!_CHECK_INTEGER(colind) || !_CHECK_INTEGER(rowptr)) {
PyErr_SetString(PyExc_TypeError,
"colind and rowptr must be of type cint");
return NULL;
}
type = PyArray_TYPE(nzvals);
if (!CHECK_SLU_TYPE(type)) {
PyErr_SetString(PyExc_TypeError,
"nzvals is not of a type supported by SuperLU");
return NULL;
}
if (!set_superlu_options_from_dict(&options, 0, option_dict, NULL, NULL)) {
return NULL;
}
/* Create Space for output */
Py_X = PyArray_CopyFromObject(Py_B, type, 1, 2);
if (Py_X == NULL) return NULL;
if (csc) {
if (NCFormat_from_spMatrix(&A, N, N, nnz, nzvals, colind, rowptr,
type)) {
Py_DECREF(Py_X);
return NULL;
}
}
else {
if (NRFormat_from_spMatrix(&A, N, N, nnz, nzvals, colind, rowptr,
type)) {
Py_DECREF(Py_X);
return NULL;
}
}
if (DenseSuper_from_Numeric(&B, Py_X)) {
Destroy_SuperMatrix_Store(&A);
Py_DECREF(Py_X);
return NULL;
}
/* B and Py_X share same data now but Py_X "owns" it */
/* Setup options */
if (setjmp(_superlu_py_jmpbuf)) {
goto fail;
}
else {
perm_c = intMalloc(N);
perm_r = intMalloc(N);
StatInit(&stat);
/* Compute direct inverse of sparse Matrix */
gssv(type, &options, &A, perm_c, perm_r, &L, &U, &B, &stat, &info);
}
ssv_finished = 1;
SUPERLU_FREE(perm_r);
SUPERLU_FREE(perm_c);
Destroy_SuperMatrix_Store(&A); /* holds just a pointer to the data */
Destroy_SuperMatrix_Store(&B);
Destroy_SuperNode_Matrix(&L);
Destroy_CompCol_Matrix(&U);
StatFree(&stat);
return Py_BuildValue("Ni", Py_X, info);
fail:
SUPERLU_FREE(perm_r);
SUPERLU_FREE(perm_c);
Destroy_SuperMatrix_Store(&A); /* holds just a pointer to the data */
Destroy_SuperMatrix_Store(&B);
if (ssv_finished) {
/* Avoid trying to free partially initialized matrices;
might leak some memory, but avoids a crash */
Destroy_SuperNode_Matrix(&L);
Destroy_CompCol_Matrix(&U);
}
StatFree(&stat);
Py_XDECREF(Py_X);
return NULL;
}
static PyObject *SuperLU_solve(SuperLUObject * self, PyObject * args,
PyObject * kwds)
{
PyArrayObject *b, *x = NULL;
SuperMatrix B = { 0 };
#ifndef NPY_PY3K
char itrans = 'N';
#else
int itrans = 'N';
#endif
int info;
trans_t trans;
SuperLUStat_t stat = { 0 };
static char *kwlist[] = { "rhs", "trans", NULL };
if (!CHECK_SLU_TYPE(self->type)) {
PyErr_SetString(PyExc_ValueError, "unsupported data type");
return NULL;
}
#ifndef NPY_PY3K
if (!PyArg_ParseTupleAndKeywords(args, kwds, "O!|c", kwlist,
&PyArray_Type, &b, &itrans))
#else
if (!PyArg_ParseTupleAndKeywords(args, kwds, "O!|C", kwlist,
&PyArray_Type, &b, &itrans))
#endif
return NULL;
/* solve transposed system: matrix was passed row-wise instead of
* column-wise */
if (itrans == 'n' || itrans == 'N')
trans = NOTRANS;
else if (itrans == 't' || itrans == 'T')
trans = TRANS;
else if (itrans == 'h' || itrans == 'H')
trans = CONJ;
else {
PyErr_SetString(PyExc_ValueError, "trans must be N, T, or H");
return NULL;
}
x = (PyArrayObject*)PyArray_FROMANY(
(PyObject*)b, self->type, 1, 2,
NPY_F_CONTIGUOUS | NPY_ENSURECOPY);
if (x == NULL) {
goto fail;
}
if (x->dimensions[0] != self->n) {
PyErr_SetString(PyExc_ValueError, "b is of incompatible size");
goto fail;
}
if (setjmp(_superlu_py_jmpbuf))
goto fail;
if (DenseSuper_from_Numeric(&B, (PyObject *)x))
goto fail;
StatInit(&stat);
/* Solve the system, overwriting vector x. */
gstrs(self->type,
trans, &self->L, &self->U, self->perm_c, self->perm_r, &B,
&stat, &info);
if (info) {
PyErr_SetString(PyExc_SystemError,
"gstrs was called with invalid arguments");
goto fail;
}
/* free memory */
Destroy_SuperMatrix_Store(&B);
StatFree(&stat);
return (PyObject *) x;
fail:
XDestroy_SuperMatrix_Store(&B);
XStatFree(&stat);
Py_XDECREF(x);
return NULL;
}
