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/* Copyright 1999 Travis Oliphant
Permision to copy and modified this file is granted under the revised BSD license.
No warranty is expressed or IMPLIED
Changes: 2004 converted to SuperLU_3.0 and added factor and solve routines for
more flexible handling.
Also added NC (compressed sparse column handling -- best to use CSC)
*/
/*
This file implements glue between the SuperLU library for
sparse matrix inversion and Python.
*/
/* We want a low-level interface to:
xGSSV
xgstrf -- factor
xgstrs -- solve
These will be done in separate files due to the include structure of
SuperLU.
Define a user abort and a user malloc and free (to keep pointers
that will be released on errors)
*/
#include "Python.h"
#include "SuperLU/SRC/zsp_defs.h"
#include "_superluobject.h"
#include <setjmp.h>
extern jmp_buf _superlu_py_jmpbuf;
static char doc_zgssv[] = "Direct inversion of sparse matrix.\n\nX = zgssv(A,B) solves A*X = B for X.";
static PyObject *Py_zgssv (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 csc=0, permc_spec=2;
int info;
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_CDOUBLE,1,2);
if (Py_X == NULL) return NULL;
if (csc) {
if (NCFormat_from_spMatrix(&A, N, N, nnz, nzvals, colind, rowptr, PyArray_CDOUBLE)) {
Py_DECREF(Py_X); return NULL;
}
}
else {
if (NRFormat_from_spMatrix(&A, N, N, nnz, nzvals, colind, rowptr, PyArray_CDOUBLE)) {
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 */
zgssv(&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;
}
/*******************************Begin Code Adapted from PySparse *****************/
static char doc_zgstrf[] = "zgstrf(A, ...)\n\
\n\
performs a factorization of the sparse matrix A=*(N,nnz,nzvals,rowind,colptr) and \n\
returns a factored_lu object.\n\
\n\
see dgstrf for more information.";
static PyObject *
Py_zgstrf(PyObject *self, PyObject *args, PyObject *keywds) {
/* default value for SuperLU parameters*/
double diag_pivot_thresh = 1.0;
double drop_tol = 0.0;
int relax = 1;
int panel_size = 10;
int permc_spec = 2;
int N, nnz;
PyArrayObject *rowind, *colptr, *nzvals;
SuperMatrix A;
PyObject *result;
static char *kwlist[] = {"N","nnz","nzvals","rowind","colptr","permc_spec","diag_pivot_thresh", "drop_tol", "relax", "panel_size", NULL};
int res = PyArg_ParseTupleAndKeywords(args, keywds, "iiO!O!O!|iddii", kwlist,
&N, &nnz,
&PyArray_Type, &nzvals,
&PyArray_Type, &rowind,
&PyArray_Type, &colptr,
&permc_spec,
&diag_pivot_thresh,
&drop_tol,
&relax,
&panel_size);
if (!res)
return NULL;
if (!_CHECK_INTEGER(colptr) || !_CHECK_INTEGER(rowind)) {
PyErr_SetString(PyExc_TypeError, "colptr and rowind must be of type cint");
return NULL;
}
if (NCFormat_from_spMatrix(&A, N, N, nnz, nzvals, rowind, colptr, PyArray_CDOUBLE)) goto fail;
result = newSciPyLUObject(&A, diag_pivot_thresh, drop_tol, relax, panel_size,\
permc_spec, PyArray_CDOUBLE);
if (result == NULL) goto fail;
Destroy_SuperMatrix_Store(&A); /* arrays of input matrix will not be freed */
return result;
fail:
Destroy_SuperMatrix_Store(&A); /* arrays of input matrix will not be freed */
return NULL;
}
/*******************************End Code Adapted from PySparse *****************/
static PyMethodDef zSuperLU_Methods[] = {
{"zgssv", (PyCFunction) Py_zgssv, METH_VARARGS|METH_KEYWORDS, doc_zgssv},
{"zgstrf", (PyCFunction) Py_zgstrf, METH_VARARGS|METH_KEYWORDS, doc_zgstrf},
/* {"zgstrs", (PyCFunction) Py_zgstrs, METH_VARARGS|METH_KEYWORDS, doc_zgstrs},
{"_zgscon", Py_zgscon, METH_VARARGS, doc_zgscon},
{"_zgsequ", Py_zgsequ, METH_VARARGS, doc_zgsequ},
{"_zlaqgs", Py_zlaqgs, METH_VARARGS, doc_zlaqgs},
{"_zgsrfs", Py_zgsrfs, METH_VARARGS, doc_zgsrfs}, */
{NULL, NULL}
};
/* This should be imported first */
PyMODINIT_FUNC
init_zsuperlu(void)
{
Py_InitModule("_zsuperlu", zSuperLU_Methods);
import_array();
if (PyErr_Occurred())
Py_FatalError("can't initialize module zsuperlu");
}
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