static int
np_complex_double(char *p, PyObject *v, const formatdef *f)
{
if (PyArray_IsZeroDim(v)) {
PyObject *v_cast = PyArray_Cast(
reinterpret_cast<PyArrayObject *>(v),
NPY_CDOUBLE);
if (!v_cast)
return -1;
memcpy(p, PyArray_DATA(v_cast), PyArray_NBYTES(v_cast));
Py_DECREF(v_cast);
}
else {
double re = 0.0;
double im = 0.0;
Py_complex cplx = PyComplex_AsCComplex(v);
if (PyErr_Occurred()) {
PyErr_SetString(StructError,
"required argument is not a complex");
return -1;
}
re = cplx.real;
im = cplx.imag;
memcpy(p, (char *)&re, sizeof re);
memcpy(p+sizeof re, (char *)&im, sizeof im);
}
return 0;
}
PyObject*
_PyArray_ZEROS(int nd, npy_intp* dims, int type_num, int fortran)
{
PyObject *arr = PyArray_EMPTY(nd, dims, type_num, fortran);
memset(PyArray_DATA(arr), 0, PyArray_NBYTES(arr));
return arr;
}
static int try_pyarr_from_string(PyObject *obj,const string str) {
PyArrayObject *arr = NULL;
if (PyArray_Check(obj) && (!((arr = (PyArrayObject *)obj) == NULL)))
{ STRINGCOPYN(arr->data,str,PyArray_NBYTES(arr)); }
return 1;
capi_fail:
PRINTPYOBJERR(obj);
PyErr_SetString(_lbfgsb_error,"try_pyarr_from_string failed");
return 0;
}
static PyObject* read_column(PyObject* self, PyObject* args)
{
oskar_MeasurementSet* h = 0;
PyObject *capsule = 0;
size_t i = 0, ndim = 0, required_size = 0, *shape = 0;
npy_intp *dims = 0;
PyArrayObject* data = 0;
int num_rows = 0, start_row = 0, status = 0, type = 0;
const char* column = 0;
if (!PyArg_ParseTuple(args, "Osii", &capsule, &column, &start_row,
&num_rows))
return 0;
if (!(h = (oskar_MeasurementSet*) get_handle(capsule, name))) return 0;
/* Get the type and shape of the column. */
type = numpy_type_from_ms_type(oskar_ms_column_element_type(h, column));
if (type == NPY_VOID)
{
PyErr_Format(PyExc_RuntimeError,
"Unknown data type for column '%s'.", column);
return 0;
}
/* Memory varies most rapidly with the *first* index of shape. */
shape = oskar_ms_column_shape(h, column, &ndim);
/* Create a numpy array to return. */
if (!(ndim == 1 && shape[0] == 1)) ndim++;
dims = (npy_intp*) calloc(ndim, sizeof(npy_intp));
dims[0] = num_rows;
for (i = 1; i < ndim; ++i) dims[i] = shape[(ndim - 2) - (i - 1)];
data = (PyArrayObject*) PyArray_SimpleNew((int) ndim, dims, type);
free(shape);
free(dims);
/* Read the data into the numpy array. */
Py_BEGIN_ALLOW_THREADS
oskar_ms_read_column(h, column, start_row, num_rows,
PyArray_NBYTES(data), PyArray_DATA(data), &required_size, &status);
Py_END_ALLOW_THREADS
/* Check for errors. */
if (status)
{
PyErr_Format(PyExc_RuntimeError,
"oskar_ms_read_column() failed with code %d.", status);
Py_XDECREF(data);
return 0;
}
/* Return the data. */
return Py_BuildValue("N", data); /* Don't increment refcount. */
}
/*
* check if in "alhs @op@ orhs" that alhs is a temporary (refcnt == 1) so we
* can do in-place operations instead of creating a new temporary
* "cannot" is set to true if it cannot be done even with swapped arguments
*/
static int
can_elide_temp(PyArrayObject * alhs, PyObject * orhs, int * cannot)
{
/*
* to be a candidate the array needs to have reference count 1, be an exact
* array of a basic type, own its data and size larger than threshold
*/
if (Py_REFCNT(alhs) != 1 || !PyArray_CheckExact(alhs) ||
!PyArray_ISNUMBER(alhs) ||
!PyArray_CHKFLAGS(alhs, NPY_ARRAY_OWNDATA) ||
!PyArray_ISWRITEABLE(alhs) ||
PyArray_CHKFLAGS(alhs, NPY_ARRAY_UPDATEIFCOPY) ||
PyArray_CHKFLAGS(alhs, NPY_ARRAY_WRITEBACKIFCOPY) ||
PyArray_NBYTES(alhs) < NPY_MIN_ELIDE_BYTES) {
return 0;
}
if (PyArray_CheckExact(orhs) ||
PyArray_CheckAnyScalar(orhs)) {
PyArrayObject * arhs;
/* create array from right hand side */
Py_INCREF(orhs);
arhs = (PyArrayObject *)PyArray_EnsureArray(orhs);
if (arhs == NULL) {
return 0;
}
/*
* if rhs is not a scalar dimensions must match
* TODO: one could allow broadcasting on equal types
*/
if (!(PyArray_NDIM(arhs) == 0 ||
(PyArray_NDIM(arhs) == PyArray_NDIM(alhs) &&
PyArray_CompareLists(PyArray_DIMS(alhs), PyArray_DIMS(arhs),
PyArray_NDIM(arhs))))) {
Py_DECREF(arhs);
return 0;
}
/* must be safe to cast (checks values for scalar in rhs) */
if (PyArray_CanCastArrayTo(arhs, PyArray_DESCR(alhs),
NPY_SAFE_CASTING)) {
Py_DECREF(arhs);
return check_callers(cannot);
}
Py_DECREF(arhs);
}
return 0;
}
static Py_ssize_t
array_getsegcount(PyArrayObject *self, Py_ssize_t *lenp)
{
if (lenp) {
*lenp = PyArray_NBYTES(self);
}
if (PyArray_ISONESEGMENT(self)) {
return 1;
}
if (lenp) {
*lenp = 0;
}
return 0;
}
/*
* Creates a new numpy array of the requested type and shape, and either
* copies into it the contents of buffer, or sets it to all zeros if
* buffer is NULL.
*/
static PyArrayObject *
NA_NewArray(void *buffer, enum NPY_TYPES type, int ndim, npy_intp *shape)
{
PyArrayObject *result;
if (type == NPY_NOTYPE) {
type = NPY_DOUBLE;
}
result = (PyArrayObject *)PyArray_SimpleNew(ndim, shape, type);
if (result == NULL) {
return NULL;
}
if (buffer == NULL) {
memset(PyArray_DATA(result), 0, PyArray_NBYTES(result));
}
else {
memcpy(PyArray_DATA(result), buffer, PyArray_NBYTES(result));
}
return result;
}
static Py_ssize_t
array_getreadbuf(PyArrayObject *self, Py_ssize_t segment, void **ptrptr)
{
if (segment != 0) {
PyErr_SetString(PyExc_ValueError,
"accessing non-existing array segment");
return -1;
}
if (PyArray_ISONESEGMENT(self)) {
*ptrptr = PyArray_DATA(self);
return PyArray_NBYTES(self);
}
PyErr_SetString(PyExc_ValueError, "array is not a single segment");
*ptrptr = NULL;
return -1;
}
static PyObject *
array_repr_builtin(PyArrayObject *self, int repr)
{
PyObject *ret;
char *string;
int n, max_n;
max_n = PyArray_NBYTES(self)*4*sizeof(char) + 7;
if ((string = (char *)_pya_malloc(max_n)) == NULL) {
PyErr_SetString(PyExc_MemoryError, "out of memory");
return NULL;
}
if (repr) {
n = 6;
sprintf(string, "array(");
}
else {
n = 0;
}
if (dump_data(&string, &n, &max_n, self->data,
self->nd, self->dimensions,
self->strides, self) < 0) {
_pya_free(string);
return NULL;
}
if (repr) {
if (PyArray_ISEXTENDED(self)) {
char buf[100];
PyOS_snprintf(buf, sizeof(buf), "%d", self->descr->elsize);
sprintf(string+n, ", '%c%s')", self->descr->type, buf);
ret = PyUString_FromStringAndSize(string, n + 6 + strlen(buf));
}
else {
sprintf(string+n, ", '%c')", self->descr->type);
ret = PyUString_FromStringAndSize(string, n+6);
}
}
else {
ret = PyUString_FromStringAndSize(string, n);
}
_pya_free(string);
return ret;
}
NPY_NO_EXPORT int
_zerofill(PyArrayObject *ret)
{
if (PyDataType_REFCHK(PyArray_DESCR(ret))) {
PyObject *zero = PyInt_FromLong(0);
PyArray_FillObjectArray(ret, zero);
Py_DECREF(zero);
if (PyErr_Occurred()) {
Py_DECREF(ret);
return -1;
}
}
else {
npy_intp n = PyArray_NBYTES(ret);
memset(PyArray_DATA(ret), 0, n);
}
return 0;
}
/* try elide unary temporary */
NPY_NO_EXPORT int
can_elide_temp_unary(PyArrayObject * m1)
{
int cannot;
if (Py_REFCNT(m1) != 1 || !PyArray_CheckExact(m1) ||
PyArray_DESCR(m1)->type_num == NPY_VOID ||
!(PyArray_FLAGS(m1) & NPY_ARRAY_OWNDATA) ||
PyArray_NBYTES(m1) < NPY_MIN_ELIDE_BYTES) {
return 0;
}
if (check_callers(&cannot)) {
#if NPY_ELIDE_DEBUG != 0
puts("elided temporary in unary op");
#endif
return 1;
}
else {
return 0;
}
}
static PyObject*
_arraytok(PyObject* self, PyObject* a)
{
K kobj = 0;
if (!PyArray_Check(a)) {
return PyErr_Format(PyExc_TypeError,
"argument is not a numeric array");
}
PyArrayObject* arr = (PyArrayObject*)a;
if (!PyArray_ISCONTIGUOUS(arr)) {
return PyErr_Format(PyExc_TypeError,
"cannot handle non-contiguous arrays");
}
int n = PyArray_SIZE(arr);
int t = ktype(arr->descr->type_num);
if (t > 0) {
kobj = gtn(-t,n);
memcpy(kobj->k, arr->data, PyArray_NBYTES(arr));
} else if (arr->descr->type_num == PyArray_OBJECT) {
/* special handling for arrays of strings */
char** strings = malloc(n*sizeof(char*));
PyObject** objects = (PyObject**)arr->data;
int i;
for (i = 0; i < n; ++i) {
char* str = PyString_AsString(objects[i]);
if (str) {
strings[i] = str;
} else {
free(strings);
/* XXX should we raise our own exception here *
* XXX or keep the one which came from "AsString"? */
return NULL;
}
}
kobj = gtn(-4, n);
for (i = 0; i < n; ++i) {
KS(kobj)[i] = sp(strings[i]);
}
}
return PyK_mk_K(kobj);
}
/* try elide unary temporary */
NPY_NO_EXPORT int
can_elide_temp_unary(PyArrayObject * m1)
{
int cannot;
if (Py_REFCNT(m1) != 1 || !PyArray_CheckExact(m1) ||
!PyArray_ISNUMBER(m1) ||
!PyArray_CHKFLAGS(m1, NPY_ARRAY_OWNDATA) ||
!PyArray_ISWRITEABLE(m1) ||
PyArray_CHKFLAGS(m1, NPY_ARRAY_UPDATEIFCOPY) ||
PyArray_NBYTES(m1) < NPY_MIN_ELIDE_BYTES) {
return 0;
}
if (check_callers(&cannot)) {
#if NPY_ELIDE_DEBUG != 0
puts("elided temporary in unary op");
#endif
return 1;
}
else {
return 0;
}
}
static PyObject *
array_repr_builtin(PyArrayObject *self, int repr)
{
PyObject *ret;
char *string;
/* max_n initial value is arbitrary, dump_data will extend it */
Py_ssize_t n = 0, max_n = PyArray_NBYTES(self) * 4 + 7;
if ((string = PyArray_malloc(max_n)) == NULL) {
return PyErr_NoMemory();
}
if (dump_data(&string, &n, &max_n, PyArray_DATA(self),
PyArray_NDIM(self), PyArray_DIMS(self),
PyArray_STRIDES(self), self) < 0) {
PyArray_free(string);
return NULL;
}
if (repr) {
if (PyArray_ISEXTENDED(self)) {
ret = PyUString_FromFormat("array(%s, '%c%d')",
string,
PyArray_DESCR(self)->type,
PyArray_DESCR(self)->elsize);
}
else {
ret = PyUString_FromFormat("array(%s, '%c')",
string,
PyArray_DESCR(self)->type);
}
}
else {
ret = PyUString_FromStringAndSize(string, n);
}
PyArray_free(string);
return ret;
}
static PyObject *set_FL321_buffer(PyObject *self, PyObject *args){
PyArrayObject *FL321_in;
cudaError_t err;
float *FL321;
int g; // gpu ind
if (!PyArg_ParseTuple(args, "O!i",
&PyArray_Type, &FL321_in, &g))
return NULL;
if (NULL == FL321_in) return NULL;
if(g < 0 || g > N_GPUS){
printf("invalid gpu index %i\n", g);
return NULL;
}
cudaSetDevice(g); CHECK_CUDA_ERR
unsigned long FL321_sz = PyArray_NBYTES(FL321_in);
if(FL321s_c[g] != 0){
cudaFree(FL321s_c[g]);
}
cudaMalloc((void**) &FL321s_c[g], FL321_sz); CHECK_CUDA_ERR
FL321 = (float *) FL321_in -> data;
N_Cs[g] = PyArray_DIM(FL321_in, 0);
n_inds_FL321[g] = PyArray_DIM(FL321_in, 1);
cudaMemcpy(FL321s_c[g], FL321, FL321_sz, cudaMemcpyHostToDevice); CHECK_CUDA_ERR
Py_INCREF(Py_None);
return Py_None;
}
static PyObject *
do_get_segment_data (PyObject *self, PyObject *args, PyObject *kwds)
{
NsLibrary *lib;
PyObject *cobj;
PyObject *iobj, *id_obj, *idx_obj, *sz_obj, *src_obj;
PyObject *res_obj;
PyObject *array;
uint32 file_id;
uint32 entity_id;
uint32 index;
uint32 count;
uint32 sources;
uint32 sample_count;
uint32 uint_id;
uint32 buffer_size;
ns_RESULT res;
double *buffer;
npy_intp dims[2];
double time_stamp;
if (!PyArg_ParseTuple (args, "OOOOOO", &cobj, &iobj, &id_obj, &idx_obj, &src_obj, &sz_obj))
{
PyErr_SetString (PyExc_StandardError, "Could not parse arguments");
return NULL;
}
if (!PyCObject_Check (cobj) || !PyInt_Check (iobj) ||
!PyInt_Check (id_obj) || !PyInt_Check (idx_obj) ||
!PyInt_Check (sz_obj) || !PyInt_Check (src_obj))
{
PyErr_SetString (PyExc_TypeError, "Wrong argument type(s)");
return NULL;
}
lib = PyCObject_AsVoidPtr (cobj);
file_id = (uint32) PyInt_AsUnsignedLongMask (iobj);
entity_id = (uint32) PyInt_AsUnsignedLongMask (id_obj);
index = (uint32) PyInt_AsUnsignedLongMask (idx_obj);
count = (uint32) PyInt_AsUnsignedLongMask (sz_obj);
sources = (uint32) PyInt_AsUnsignedLongMask (src_obj);
/* ** */
dims[0] = sources; //source count
dims[1] = count; //sample count
array = PyArray_New (&PyArray_Type,
2,
dims,
NPY_DOUBLE,
NULL,
NULL /* data */,
0 /* itemsize */,
0,
NULL);
buffer = (double *) PyArray_DATA (array);
buffer_size = (uint32) PyArray_NBYTES (array);
res = lib->GetSegmentData (file_id,
entity_id,
index,
&time_stamp,
buffer,
buffer_size,
&sample_count,
&uint_id);
if (check_result_is_error (res, lib))
{
Py_DECREF (array);
return NULL;
}
res_obj = PyTuple_New (4);
PyTuple_SetItem (res_obj, 0, array);
PyTuple_SetItem (res_obj, 1, PyFloat_FromDouble (time_stamp));
PyTuple_SetItem (res_obj, 2, PyInt_FromLong (sample_count));
PyTuple_SetItem (res_obj, 3, PyInt_FromLong (uint_id));
return res_obj;
}
static PyObject *
dotblas_matrixproduct(PyObject *dummy, PyObject *args)
{
PyObject *op1, *op2;
PyArrayObject *ap1=NULL, *ap2=NULL, *ret=NULL;
int j, l, lda, ldb, ldc;
int typenum, nd;
intp ap1stride=0;
intp dimensions[MAX_DIMS];
intp numbytes;
static const float oneF[2] = {1.0, 0.0};
static const float zeroF[2] = {0.0, 0.0};
static const double oneD[2] = {1.0, 0.0};
static const double zeroD[2] = {0.0, 0.0};
double prior1, prior2;
PyTypeObject *subtype;
PyArray_Descr *dtype;
MatrixShape ap1shape, ap2shape;
if (!PyArg_ParseTuple(args, "OO", &op1, &op2)) return NULL;
/*
* "Matrix product" using the BLAS.
* Only works for float double and complex types.
*/
typenum = PyArray_ObjectType(op1, 0);
typenum = PyArray_ObjectType(op2, typenum);
/* This function doesn't handle other types */
if ((typenum != PyArray_DOUBLE && typenum != PyArray_CDOUBLE &&
typenum != PyArray_FLOAT && typenum != PyArray_CFLOAT)) {
return PyArray_Return((PyArrayObject *)PyArray_MatrixProduct(op1, op2));
}
dtype = PyArray_DescrFromType(typenum);
ap1 = (PyArrayObject *)PyArray_FromAny(op1, dtype, 0, 0, ALIGNED, NULL);
if (ap1 == NULL) return NULL;
Py_INCREF(dtype);
ap2 = (PyArrayObject *)PyArray_FromAny(op2, dtype, 0, 0, ALIGNED, NULL);
if (ap2 == NULL) goto fail;
if ((ap1->nd > 2) || (ap2->nd > 2)) {
/* This function doesn't handle dimensions greater than 2
(or negative striding) -- other
than to ensure the dot function is altered
*/
if (!altered) {
/* need to alter dot product */
PyObject *tmp1, *tmp2;
tmp1 = PyTuple_New(0);
tmp2 = dotblas_alterdot(NULL, tmp1);
Py_DECREF(tmp1);
Py_DECREF(tmp2);
}
ret = (PyArrayObject *)PyArray_MatrixProduct((PyObject *)ap1,
(PyObject *)ap2);
Py_DECREF(ap1);
Py_DECREF(ap2);
return PyArray_Return(ret);
}
if (_bad_strides(ap1)) {
op1 = PyArray_NewCopy(ap1, PyArray_ANYORDER);
Py_DECREF(ap1);
ap1 = (PyArrayObject *)op1;
if (ap1 == NULL) goto fail;
}
if (_bad_strides(ap2)) {
op2 = PyArray_NewCopy(ap2, PyArray_ANYORDER);
Py_DECREF(ap2);
ap2 = (PyArrayObject *)op2;
if (ap2 == NULL) goto fail;
}
ap1shape = _select_matrix_shape(ap1);
ap2shape = _select_matrix_shape(ap2);
if (ap1shape == _scalar || ap2shape == _scalar) {
PyArrayObject *oap1, *oap2;
oap1 = ap1;
oap2 = ap2;
/* One of ap1 or ap2 is a scalar */
if (ap1shape == _scalar) { /* Make ap2 the scalar */
PyArrayObject *t = ap1;
ap1 = ap2;
ap2 = t;
ap1shape = ap2shape;
ap2shape = _scalar;
}
if (ap1shape == _row) ap1stride = ap1->strides[1];
else if (ap1->nd > 0) ap1stride = ap1->strides[0];
if (ap1->nd == 0 || ap2->nd == 0) {
intp *thisdims;
if (ap1->nd == 0) {
nd = ap2->nd;
thisdims = ap2->dimensions;
}
else {
nd = ap1->nd;
thisdims = ap1->dimensions;
}
l = 1;
for (j=0; j<nd; j++) {
dimensions[j] = thisdims[j];
l *= dimensions[j];
}
}
else {
l = oap1->dimensions[oap1->nd-1];
if (oap2->dimensions[0] != l) {
PyErr_SetString(PyExc_ValueError, "matrices are not aligned");
goto fail;
}
nd = ap1->nd + ap2->nd - 2;
/* nd = 0 or 1 or 2 */
/* If nd == 0 do nothing ... */
if (nd == 1) {
/* Either ap1->nd is 1 dim or ap2->nd is 1 dim
and the other is 2-dim */
dimensions[0] = (oap1->nd == 2) ? oap1->dimensions[0] : oap2->dimensions[1];
l = dimensions[0];
/* Fix it so that dot(shape=(N,1), shape=(1,))
and dot(shape=(1,), shape=(1,N)) both return
an (N,) array (but use the fast scalar code)
*/
}
else if (nd == 2) {
dimensions[0] = oap1->dimensions[0];
dimensions[1] = oap2->dimensions[1];
/* We need to make sure that dot(shape=(1,1), shape=(1,N))
and dot(shape=(N,1),shape=(1,1)) uses
scalar multiplication appropriately
*/
if (ap1shape == _row) l = dimensions[1];
else l = dimensions[0];
}
}
}
else { /* (ap1->nd <= 2 && ap2->nd <= 2) */
/* Both ap1 and ap2 are vectors or matrices */
l = ap1->dimensions[ap1->nd-1];
if (ap2->dimensions[0] != l) {
PyErr_SetString(PyExc_ValueError, "matrices are not aligned");
goto fail;
}
nd = ap1->nd+ap2->nd-2;
if (nd == 1)
dimensions[0] = (ap1->nd == 2) ? ap1->dimensions[0] : ap2->dimensions[1];
else if (nd == 2) {
dimensions[0] = ap1->dimensions[0];
dimensions[1] = ap2->dimensions[1];
}
}
/* Choose which subtype to return */
if (ap1->ob_type != ap2->ob_type) {
prior2 = PyArray_GetPriority((PyObject *)ap2, 0.0);
prior1 = PyArray_GetPriority((PyObject *)ap1, 0.0);
subtype = (prior2 > prior1 ? ap2->ob_type : ap1->ob_type);
}
else {
prior1 = prior2 = 0.0;
subtype = ap1->ob_type;
}
ret = (PyArrayObject *)PyArray_New(subtype, nd, dimensions,
typenum, NULL, NULL, 0, 0,
(PyObject *)
(prior2 > prior1 ? ap2 : ap1));
if (ret == NULL) goto fail;
numbytes = PyArray_NBYTES(ret);
memset(ret->data, 0, numbytes);
if (numbytes==0 || l == 0) {
Py_DECREF(ap1);
Py_DECREF(ap2);
return PyArray_Return(ret);
}
if (ap2shape == _scalar) {
/* Multiplication by a scalar -- Level 1 BLAS */
/* if ap1shape is a matrix and we are not contiguous, then we can't
just blast through the entire array using a single
striding factor */
NPY_BEGIN_ALLOW_THREADS
if (typenum == PyArray_DOUBLE) {
if (l == 1) {
*((double *)ret->data) = *((double *)ap2->data) * \
*((double *)ap1->data);
}
else if (ap1shape != _matrix) {
cblas_daxpy(l, *((double *)ap2->data), (double *)ap1->data,
ap1stride/sizeof(double), (double *)ret->data, 1);
}
else {
int maxind, oind, i, a1s, rets;
char *ptr, *rptr;
double val;
maxind = (ap1->dimensions[0] >= ap1->dimensions[1] ? 0 : 1);
oind = 1-maxind;
ptr = ap1->data;
rptr = ret->data;
l = ap1->dimensions[maxind];
val = *((double *)ap2->data);
a1s = ap1->strides[maxind] / sizeof(double);
rets = ret->strides[maxind] / sizeof(double);
for (i=0; i < ap1->dimensions[oind]; i++) {
cblas_daxpy(l, val, (double *)ptr, a1s,
(double *)rptr, rets);
ptr += ap1->strides[oind];
rptr += ret->strides[oind];
}
}
}
else if (typenum == PyArray_CDOUBLE) {
if (l == 1) {
cdouble *ptr1, *ptr2, *res;
ptr1 = (cdouble *)ap2->data;
ptr2 = (cdouble *)ap1->data;
res = (cdouble *)ret->data;
res->real = ptr1->real * ptr2->real - ptr1->imag * ptr2->imag;
res->imag = ptr1->real * ptr2->imag + ptr1->imag * ptr2->real;
}
else if (ap1shape != _matrix) {
cblas_zaxpy(l, (double *)ap2->data, (double *)ap1->data,
ap1stride/sizeof(cdouble), (double *)ret->data, 1);
}
else {
int maxind, oind, i, a1s, rets;
char *ptr, *rptr;
double *pval;
maxind = (ap1->dimensions[0] >= ap1->dimensions[1] ? 0 : 1);
oind = 1-maxind;
ptr = ap1->data;
rptr = ret->data;
l = ap1->dimensions[maxind];
pval = (double *)ap2->data;
a1s = ap1->strides[maxind] / sizeof(cdouble);
rets = ret->strides[maxind] / sizeof(cdouble);
for (i=0; i < ap1->dimensions[oind]; i++) {
cblas_zaxpy(l, pval, (double *)ptr, a1s,
(double *)rptr, rets);
ptr += ap1->strides[oind];
rptr += ret->strides[oind];
}
}
}
else if (typenum == PyArray_FLOAT) {
if (l == 1) {
*((float *)ret->data) = *((float *)ap2->data) * \
*((float *)ap1->data);
}
else if (ap1shape != _matrix) {
cblas_saxpy(l, *((float *)ap2->data), (float *)ap1->data,
ap1stride/sizeof(float), (float *)ret->data, 1);
}
else {
int maxind, oind, i, a1s, rets;
char *ptr, *rptr;
float val;
maxind = (ap1->dimensions[0] >= ap1->dimensions[1] ? 0 : 1);
oind = 1-maxind;
ptr = ap1->data;
rptr = ret->data;
l = ap1->dimensions[maxind];
val = *((float *)ap2->data);
a1s = ap1->strides[maxind] / sizeof(float);
rets = ret->strides[maxind] / sizeof(float);
for (i=0; i < ap1->dimensions[oind]; i++) {
cblas_saxpy(l, val, (float *)ptr, a1s,
(float *)rptr, rets);
ptr += ap1->strides[oind];
rptr += ret->strides[oind];
}
}
}
else if (typenum == PyArray_CFLOAT) {
if (l == 1) {
cfloat *ptr1, *ptr2, *res;
ptr1 = (cfloat *)ap2->data;
ptr2 = (cfloat *)ap1->data;
res = (cfloat *)ret->data;
res->real = ptr1->real * ptr2->real - ptr1->imag * ptr2->imag;
res->imag = ptr1->real * ptr2->imag + ptr1->imag * ptr2->real;
}
else if (ap1shape != _matrix) {
cblas_caxpy(l, (float *)ap2->data, (float *)ap1->data,
ap1stride/sizeof(cfloat), (float *)ret->data, 1);
}
else {
int maxind, oind, i, a1s, rets;
char *ptr, *rptr;
float *pval;
maxind = (ap1->dimensions[0] >= ap1->dimensions[1] ? 0 : 1);
oind = 1-maxind;
ptr = ap1->data;
rptr = ret->data;
l = ap1->dimensions[maxind];
pval = (float *)ap2->data;
a1s = ap1->strides[maxind] / sizeof(cfloat);
rets = ret->strides[maxind] / sizeof(cfloat);
for (i=0; i < ap1->dimensions[oind]; i++) {
cblas_caxpy(l, pval, (float *)ptr, a1s,
(float *)rptr, rets);
ptr += ap1->strides[oind];
rptr += ret->strides[oind];
}
}
}
NPY_END_ALLOW_THREADS
}
static mxArray *makeMxFromNumeric(const PyArrayObject *pSrc, bool &is_reference)
{
npy_intp lRows=0, lCols=0;
bool lIsComplex;
bool lIsNotAMatrix = false;
double *lR = NULL;
double *lI = NULL;
mxArray *lRetval = NULL;
mwSize dims[NPY_MAXDIMS];
mwSize dimsEmpty [2];
memset(&dimsEmpty, 0, 2 * sizeof(mwSize));
mwSize nDims = pSrc->nd;
const PyArrayObject *ap=NULL;
mxClassID classID = mxUNKNOWN_CLASS;
switch (pSrc->nd) {
case 0: // XXX the evil 0D
lRows = 1;
lCols = 1;
lIsNotAMatrix = true;
break;
case 1:
lRows = pSrc->dimensions[0];
lCols = min(1, lRows); // for array([]): to avoid zeros((0,1)) !
lIsNotAMatrix = true;
break;
default:
for (mwSize i = 0;i != nDims; i++) {
dims[i]=(mwSize)pSrc->dimensions[i];
}
break;
}
switch (pSrc->descr->type_num) {
case PyArray_OBJECT:
PyErr_SetString(PyExc_TypeError, "Non-numeric array types not supported");
return NULL;
case PyArray_CFLOAT:
case PyArray_CDOUBLE:
lIsComplex = true;
break;
default:
lIsComplex = false;
}
// converts to fortran order if not already
if(!PyArray_ISFORTRAN(pSrc)){
ap = (PyArrayObject * const)PyArray_FromArray((PyArrayObject*)pSrc,NULL,NPY_ALIGNED|NPY_F_CONTIGUOUS);
}
else{
ap = pSrc;
}
if(lIsNotAMatrix)
lRetval = mxCreateDoubleMatrix(lRows, lCols, lIsComplex ? mxCOMPLEX : mxREAL);
else {
switch (ap->descr->type_num) {
case PyArray_CFLOAT:
case PyArray_CDOUBLE:
classID = mxDOUBLE_CLASS;
is_reference = false;
break;
case PyArray_BOOL:
classID = mxLOGICAL_CLASS;
is_reference = true;
break;
case PyArray_CHAR:
classID = mxCHAR_CLASS;
is_reference = true;
break;
case PyArray_DOUBLE:
classID = mxDOUBLE_CLASS;
is_reference = true;
break;
case PyArray_FLOAT:
classID = mxSINGLE_CLASS;
is_reference = true;
break;
case PyArray_INT8:
classID = mxINT8_CLASS;
is_reference = true;
break;
case PyArray_UINT8:
classID = mxUINT8_CLASS;
is_reference = true;
break;
case PyArray_INT16:
classID = mxINT16_CLASS;
is_reference = true;
break;
case PyArray_UINT16:
classID = mxUINT16_CLASS;
is_reference = true;
break;
case PyArray_INT32:
classID = mxINT32_CLASS;
is_reference = true;
break;
case PyArray_UINT32:
classID = mxUINT32_CLASS;
is_reference = true;
break;
#ifdef NPY_INT64
case PyArray_INT64:
classID = mxINT64_CLASS;
is_reference = true;
break;
case PyArray_UINT64:
classID = mxUINT64_CLASS;
is_reference = true;
break;
#endif
}
if (!is_reference) {
lRetval = mxCreateNumericArray(nDims,dims,classID,lIsComplex ? mxCOMPLEX : mxREAL);
} else {
/*
// code for create and mxArray ref on the numpy object
lRetval = mxCreateNumericArray(2, dimsEmpty, classID, lIsComplex ? mxCOMPLEX : mxREAL);
if (mxSetDimensions(lRetval, dims, nDims) == 1) {
// failed to reset the dimensions
mxDestroyArray(lRetval);
lRetval = NULL;
} else {
mxSetData(lRetval, PyArray_DATA(ap));
}
*/
// uses memcopy for faster copying
is_reference = false;
lRetval = mxCreateNumericArray(nDims, dims, classID, lIsComplex ? mxCOMPLEX : mxREAL);
// this is a sanity check, it should not fail
int matlab_nbytes = mxGetNumberOfElements(lRetval) * mxGetElementSize(lRetval);
if (matlab_nbytes == PyArray_NBYTES(pSrc)) {
memcpy(mxGetData(lRetval), PyArray_DATA(ap), PyArray_NBYTES(pSrc));
} else {
PyErr_SetString(PyExc_TypeError, "Number of bytes do not match");
}
}
}
if (lRetval == NULL) return NULL;
lR = mxGetPr(lRetval);
lI = mxGetPi(lRetval);
if (lIsNotAMatrix) {
void *p = PyArray_DATA(ap);
switch (ap->descr->type_num) {
case PyArray_CHAR:
copyNumericVector2Mx((char *)(p), lRows, lR, pSrc->strides);
break;
case PyArray_UBYTE:
copyNumericVector2Mx((unsigned char *)(p), lRows, lR, pSrc->strides);
break;
case PyArray_SBYTE:
copyNumericVector2Mx((signed char *)(p), lRows, lR, pSrc->strides);
break;
case PyArray_SHORT:
copyNumericVector2Mx((short *)(p), lRows, lR, pSrc->strides);
break;
case PyArray_INT:
copyNumericVector2Mx((int *)(p), lRows, lR, pSrc->strides);
break;
case PyArray_LONG:
copyNumericVector2Mx((long *)(p), lRows, lR, pSrc->strides);
break;
case PyArray_FLOAT:
copyNumericVector2Mx((float *)(p), lRows, lR, pSrc->strides);
break;
case PyArray_DOUBLE:
copyNumericVector2Mx((double *)(p), lRows, lR, pSrc->strides);
break;
case PyArray_CFLOAT:
copyCplxNumericVector2Mx((float *)(p), lRows, lR, lI, pSrc->strides);
break;
case PyArray_CDOUBLE:
copyCplxNumericVector2Mx((double *)(p), lRows, lR, lI, pSrc->strides);
break;
}
} else {
void *p = PyArray_DATA(ap);
npy_intp size = PyArray_SIZE(pSrc);
switch (pSrc->descr->type_num) {
case PyArray_CFLOAT:
copyCplxNumeric2Mx((float *)p,size,lR,lI);
break;
case PyArray_CDOUBLE:
copyCplxNumeric2Mx((double *)p,size,lR,lI);
break;
}
}
if(ap != pSrc){
Py_DECREF(const_cast<PyArrayObject *>(ap));
}
return lRetval;
}
/*
* Retrieving buffers for ndarray
*/
static int
array_getbuffer(PyObject *obj, Py_buffer *view, int flags)
{
PyArrayObject *self;
_buffer_info_t *info = NULL;
self = (PyArrayObject*)obj;
/* Check whether we can provide the wanted properties */
if ((flags & PyBUF_C_CONTIGUOUS) == PyBUF_C_CONTIGUOUS &&
!PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)) {
PyErr_SetString(PyExc_ValueError, "ndarray is not C-contiguous");
goto fail;
}
if ((flags & PyBUF_F_CONTIGUOUS) == PyBUF_F_CONTIGUOUS &&
!PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)) {
PyErr_SetString(PyExc_ValueError, "ndarray is not Fortran contiguous");
goto fail;
}
if ((flags & PyBUF_ANY_CONTIGUOUS) == PyBUF_ANY_CONTIGUOUS
&& !PyArray_ISONESEGMENT(self)) {
PyErr_SetString(PyExc_ValueError, "ndarray is not contiguous");
goto fail;
}
if ((flags & PyBUF_STRIDES) != PyBUF_STRIDES &&
!PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)) {
/* Non-strided N-dim buffers must be C-contiguous */
PyErr_SetString(PyExc_ValueError, "ndarray is not C-contiguous");
goto fail;
}
if ((flags & PyBUF_WRITEABLE) == PyBUF_WRITEABLE) {
if (PyArray_FailUnlessWriteable(self, "buffer source array") < 0) {
goto fail;
}
}
/*
* If a read-only buffer is requested on a read-write array, we return a
* read-write buffer, which is dubious behavior. But that's why this call
* is guarded by PyArray_ISWRITEABLE rather than (flags &
* PyBUF_WRITEABLE).
*/
if (PyArray_ISWRITEABLE(self)) {
if (array_might_be_written(self) < 0) {
goto fail;
}
}
if (view == NULL) {
PyErr_SetString(PyExc_ValueError, "NULL view in getbuffer");
goto fail;
}
/* Fill in information */
info = _buffer_get_info(obj);
if (info == NULL) {
goto fail;
}
view->buf = PyArray_DATA(self);
view->suboffsets = NULL;
view->itemsize = PyArray_ITEMSIZE(self);
view->readonly = !PyArray_ISWRITEABLE(self);
view->internal = NULL;
view->len = PyArray_NBYTES(self);
if ((flags & PyBUF_FORMAT) == PyBUF_FORMAT) {
view->format = info->format;
} else {
view->format = NULL;
}
if ((flags & PyBUF_ND) == PyBUF_ND) {
view->ndim = info->ndim;
view->shape = info->shape;
}
else {
view->ndim = 0;
view->shape = NULL;
}
if ((flags & PyBUF_STRIDES) == PyBUF_STRIDES) {
view->strides = info->strides;
#ifdef NPY_RELAXED_STRIDES_CHECKING
/*
* If NPY_RELAXED_STRIDES_CHECKING is on, the array may be
* contiguous, but it won't look that way to Python when it
* tries to determine contiguity by looking at the strides
* (since one of the elements may be -1). In that case, just
* regenerate strides from shape.
*/
if (PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS) &&
!((flags & PyBUF_F_CONTIGUOUS) == PyBUF_F_CONTIGUOUS)) {
Py_ssize_t sd = view->itemsize;
int i;
for (i = view->ndim-1; i >= 0; --i) {
view->strides[i] = sd;
sd *= view->shape[i];
}
}
else if (PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)) {
Py_ssize_t sd = view->itemsize;
int i;
for (i = 0; i < view->ndim; ++i) {
view->strides[i] = sd;
sd *= view->shape[i];
}
}
#endif
}
else {
view->strides = NULL;
}
view->obj = (PyObject*)self;
Py_INCREF(self);
return 0;
fail:
return -1;
}
/*
* Returns input array with values inserted sequentially into places
* indicated by the mask
*/
NPY_NO_EXPORT PyObject *
arr_insert(PyObject *NPY_UNUSED(self), PyObject *args, PyObject *kwdict)
{
PyObject *mask = NULL, *vals = NULL;
PyArrayObject *ainput = NULL, *amask = NULL, *avals = NULL, *tmp = NULL;
int numvals, totmask, sameshape;
char *input_data, *mptr, *vptr, *zero = NULL;
int melsize, delsize, nd, objarray, k;
npy_intp *instrides, *inshape;
static char *kwlist[] = {"input", "mask", "vals", NULL};
if (!PyArg_ParseTupleAndKeywords(args, kwdict, "O&OO", kwlist,
PyArray_Converter, &ainput,
&mask, &vals)) {
goto fail;
}
amask = (PyArrayObject *)PyArray_FROM_OF(mask, NPY_ARRAY_CARRAY);
if (amask == NULL) {
goto fail;
}
/* Cast an object array */
if (PyArray_DESCR(amask)->type_num == NPY_OBJECT) {
tmp = (PyArrayObject *)PyArray_Cast(amask, NPY_INTP);
if (tmp == NULL) {
goto fail;
}
Py_DECREF(amask);
amask = tmp;
}
sameshape = 1;
if (PyArray_NDIM(amask) == PyArray_NDIM(ainput)) {
for (k = 0; k < PyArray_NDIM(amask); k++) {
if (PyArray_DIMS(amask)[k] != PyArray_DIMS(ainput)[k]) {
sameshape = 0;
}
}
}
else {
/* Test to see if amask is 1d */
if (PyArray_NDIM(amask) != 1) {
sameshape = 0;
}
else if ((PyArray_SIZE(ainput)) != PyArray_SIZE(amask)) {
sameshape = 0;
}
}
if (!sameshape) {
PyErr_SetString(PyExc_TypeError,
"mask array must be 1-d or same shape as input array");
goto fail;
}
avals = (PyArrayObject *)PyArray_FromObject(vals,
PyArray_DESCR(ainput)->type_num, 0, 1);
if (avals == NULL) {
goto fail;
}
numvals = PyArray_SIZE(avals);
nd = PyArray_NDIM(ainput);
input_data = PyArray_DATA(ainput);
mptr = PyArray_DATA(amask);
melsize = PyArray_DESCR(amask)->elsize;
vptr = PyArray_DATA(avals);
delsize = PyArray_DESCR(avals)->elsize;
zero = PyArray_Zero(amask);
if (zero == NULL) {
goto fail;
}
objarray = (PyArray_DESCR(ainput)->type_num == NPY_OBJECT);
if (!numvals) {
/* nothing to insert! fail unless none of mask is true */
const char *iter = mptr;
const char *const last = iter + PyArray_NBYTES(amask);
while (iter != last && !memcmp(iter, zero, melsize)) {
iter += melsize;
}
if (iter != last) {
PyErr_SetString(PyExc_ValueError,
"Cannot insert from an empty array!");
goto fail;
}
goto finish;
}
/* Handle zero-dimensional case separately */
if (nd == 0) {
if (memcmp(mptr,zero,melsize) != 0) {
/* Copy value element over to input array */
memcpy(input_data,vptr,delsize);
if (objarray) {
Py_INCREF(*((PyObject **)vptr));
}
}
Py_DECREF(amask);
Py_DECREF(avals);
PyDataMem_FREE(zero);
Py_DECREF(ainput);
Py_RETURN_NONE;
}
totmask = (int) PyArray_SIZE(amask);
instrides = PyArray_STRIDES(ainput);
inshape = PyArray_DIMS(ainput);
if (objarray) {
/* object array, need to refcount, can't release the GIL */
arr_insert_loop(mptr, vptr, input_data, zero, PyArray_DATA(avals),
melsize, delsize, objarray, totmask, numvals, nd,
instrides, inshape);
}
else {
/* No increfs take place in arr_insert_loop, so release the GIL */
NPY_BEGIN_ALLOW_THREADS;
arr_insert_loop(mptr, vptr, input_data, zero, PyArray_DATA(avals),
melsize, delsize, objarray, totmask, numvals, nd,
instrides, inshape);
NPY_END_ALLOW_THREADS;
}
finish:
Py_DECREF(amask);
Py_DECREF(avals);
PyDataMem_FREE(zero);
Py_DECREF(ainput);
Py_RETURN_NONE;
fail:
PyDataMem_FREE(zero);
Py_XDECREF(ainput);
Py_XDECREF(amask);
Py_XDECREF(avals);
return NULL;
}
static int
array_getbuffer(PyObject *obj, Py_buffer *view, int flags)
{
PyArrayObject *self;
_buffer_info_t *info = NULL;
self = (PyArrayObject*)obj;
/* Check whether we can provide the wanted properties */
if ((flags & PyBUF_C_CONTIGUOUS) == PyBUF_C_CONTIGUOUS &&
!PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)) {
PyErr_SetString(PyExc_ValueError, "ndarray is not C-contiguous");
goto fail;
}
if ((flags & PyBUF_F_CONTIGUOUS) == PyBUF_F_CONTIGUOUS &&
!PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)) {
PyErr_SetString(PyExc_ValueError, "ndarray is not Fortran contiguous");
goto fail;
}
if ((flags & PyBUF_ANY_CONTIGUOUS) == PyBUF_ANY_CONTIGUOUS
&& !PyArray_ISONESEGMENT(self)) {
PyErr_SetString(PyExc_ValueError, "ndarray is not contiguous");
goto fail;
}
if ((flags & PyBUF_STRIDES) != PyBUF_STRIDES &&
(flags & PyBUF_ND) == PyBUF_ND &&
!PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)) {
/* Non-strided N-dim buffers must be C-contiguous */
PyErr_SetString(PyExc_ValueError, "ndarray is not C-contiguous");
goto fail;
}
if ((flags & PyBUF_WRITEABLE) == PyBUF_WRITEABLE &&
!PyArray_ISWRITEABLE(self)) {
PyErr_SetString(PyExc_ValueError, "ndarray is not writeable");
goto fail;
}
if (view == NULL) {
PyErr_SetString(PyExc_ValueError, "NULL view in getbuffer");
goto fail;
}
/* Fill in information */
info = _buffer_get_info(obj);
if (info == NULL) {
goto fail;
}
view->buf = PyArray_DATA(self);
view->suboffsets = NULL;
view->itemsize = PyArray_ITEMSIZE(self);
view->readonly = !PyArray_ISWRITEABLE(self);
view->internal = NULL;
view->len = PyArray_NBYTES(self);
if ((flags & PyBUF_FORMAT) == PyBUF_FORMAT) {
view->format = info->format;
} else {
view->format = NULL;
}
if ((flags & PyBUF_ND) == PyBUF_ND) {
view->ndim = info->ndim;
view->shape = info->shape;
}
else {
view->ndim = 0;
view->shape = NULL;
}
if ((flags & PyBUF_STRIDES) == PyBUF_STRIDES) {
view->strides = info->strides;
}
else {
view->strides = NULL;
}
view->obj = (PyObject*)self;
Py_INCREF(self);
return 0;
fail:
return -1;
}
void
_PyArray_FILLWBYTE(PyObject* obj, int val) {
memset(PyArray_DATA(obj), val, PyArray_NBYTES(obj));
}
static int
array_getbuffer(PyObject *obj, Py_buffer *view, int flags)
{
PyArrayObject *self;
_buffer_info_t *info = NULL;
self = (PyArrayObject*)obj;
/* Check whether we can provide the wanted properties */
if ((flags & PyBUF_C_CONTIGUOUS) == PyBUF_C_CONTIGUOUS &&
!PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)) {
PyErr_SetString(PyExc_ValueError, "ndarray is not C-contiguous");
goto fail;
}
if ((flags & PyBUF_F_CONTIGUOUS) == PyBUF_F_CONTIGUOUS &&
!PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)) {
PyErr_SetString(PyExc_ValueError, "ndarray is not Fortran contiguous");
goto fail;
}
if ((flags & PyBUF_ANY_CONTIGUOUS) == PyBUF_ANY_CONTIGUOUS
&& !PyArray_ISONESEGMENT(self)) {
PyErr_SetString(PyExc_ValueError, "ndarray is not contiguous");
goto fail;
}
if ((flags & PyBUF_STRIDES) != PyBUF_STRIDES &&
!PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)) {
/* Non-strided N-dim buffers must be C-contiguous */
PyErr_SetString(PyExc_ValueError, "ndarray is not C-contiguous");
goto fail;
}
if ((flags & PyBUF_WRITEABLE) == PyBUF_WRITEABLE) {
if (PyArray_FailUnlessWriteable(self, "buffer source array") < 0) {
goto fail;
}
}
/*
* If a read-only buffer is requested on a read-write array, we return a
* read-write buffer, which is dubious behavior. But that's why this call
* is guarded by PyArray_ISWRITEABLE rather than (flags &
* PyBUF_WRITEABLE).
*/
if (PyArray_ISWRITEABLE(self)) {
if (array_might_be_written(self) < 0) {
goto fail;
}
}
if (view == NULL) {
PyErr_SetString(PyExc_ValueError, "NULL view in getbuffer");
goto fail;
}
/* Fill in information */
info = _buffer_get_info(obj);
if (info == NULL) {
goto fail;
}
view->buf = PyArray_DATA(self);
view->suboffsets = NULL;
view->itemsize = PyArray_ITEMSIZE(self);
view->readonly = !PyArray_ISWRITEABLE(self);
view->internal = NULL;
view->len = PyArray_NBYTES(self);
if ((flags & PyBUF_FORMAT) == PyBUF_FORMAT) {
view->format = info->format;
} else {
view->format = NULL;
}
if ((flags & PyBUF_ND) == PyBUF_ND) {
view->ndim = info->ndim;
view->shape = info->shape;
}
else {
view->ndim = 0;
view->shape = NULL;
}
if ((flags & PyBUF_STRIDES) == PyBUF_STRIDES) {
view->strides = info->strides;
}
else {
view->strides = NULL;
}
view->obj = (PyObject*)self;
Py_INCREF(self);
return 0;
fail:
return -1;
}
int getNBytes( void* arr ) {
return (int) PyArray_NBYTES( arr );
}
static PyObject * enz_vnmpocnp(PyObject *self, PyObject *args,
PyObject *keywds)
{
static char *kwlist[] = { "r", "f", "n", "m", "L_max",
"bessel_name", "ncpus", "verb", NULL };
long syscpus = sysconf(_SC_NPROCESSORS_ONLN);
PyObject *r_o, *f_o, *n_o, *m_o;
PyObject *r = NULL;
PyObject *f = NULL;
PyObject *n = NULL;
PyObject *m = NULL;
const char *error = NULL;
npy_intp r_n, f_n, beta_n;
PyObject *vnm = NULL;
npy_intp vnm_dims[3];
double *datar = NULL;
complex double *dataf = NULL;
int *datan = NULL;
int *datam = NULL;
complex double *datap = NULL;
int kL_max = 35;
int kncpus = -1;
int kverb = 0;
char *kbessel_name = "jn";
int ret;
if (syscpus <= 0)
syscpus = 1;
if (!PyArg_ParseTupleAndKeywords(args, keywds, "O!O!O!O!|isii",
kwlist,
&PyArray_Type, &r_o,
&PyArray_Type, &f_o,
&PyArray_Type, &n_o,
&PyArray_Type, &m_o,
&kL_max, &kbessel_name, &kncpus, &kverb)) {
PyErr_SetString(PyExc_SyntaxError, "failed to parse args");
return NULL;
}
r = PyArray_FROM_OTF(r_o, NPY_FLOAT64, NPY_ARRAY_IN_ARRAY);
f = PyArray_FROM_OTF(f_o, NPY_COMPLEX128, NPY_ARRAY_IN_ARRAY);
n = PyArray_FROM_OTF(n_o, NPY_INT64, NPY_ARRAY_IN_ARRAY);
m = PyArray_FROM_OTF(m_o, NPY_INT64, NPY_ARRAY_IN_ARRAY);
if (!r) {
PyErr_SetString(PyExc_ValueError, "cannot convert r to PyArray");
return NULL;
}
if (!f) {
PyErr_SetString(PyExc_ValueError, "cannot convert f to PyArray");
return NULL;
}
if (!n) {
PyErr_SetString(PyExc_ValueError, "cannot convert n to PyArray");
return NULL;
}
if (!m) {
PyErr_SetString(PyExc_ValueError, "cannot convert m to PyArray");
return NULL;
}
if (!r || not_vect(r) || PyArray_TYPE((PyArrayObject*)r) != NPY_FLOAT64) {
error = "r is not a vector of doubles";
goto exit_decrement;
}
r_n = PyArray_DIM((PyArrayObject*)r, 0);
if (!f || not_vect(f) ||
PyArray_TYPE((PyArrayObject*)f) != NPY_COMPLEX128) {
error = "f is not a vector of complex numbers";
goto exit_decrement;
}
f_n = PyArray_DIM((PyArrayObject*)f, 0);
if (!n || not_vect(n) || PyArray_TYPE((PyArrayObject*)n) != NPY_INT64) {
error = "n is not a vector of integers";
goto exit_decrement;
}
if (!m || not_vect(m) || PyArray_TYPE((PyArrayObject*)m) != NPY_INT64) {
error = "m is not a vector of integers";
goto exit_decrement;
}
if (PyArray_DIM((PyArrayObject*)n, 0) !=
PyArray_DIM((PyArrayObject*)m, 0)) {
error = "n and m must have the same length";
goto exit_decrement;
}
beta_n = PyArray_DIM((PyArrayObject*)n, 0);
vnm_dims[0] = r_n;
vnm_dims[1] = f_n;
vnm_dims[2] = beta_n;
vnm = PyArray_New(&PyArray_Type, 3, vnm_dims, NPY_COMPLEX128, NULL, NULL,
0, NPY_ARRAY_F_CONTIGUOUS | NPY_ARRAY_ALIGNED, NULL);
if (!vnm) {
error = "cannot create vnm";
goto exit_decrement;
}
PyArray_CLEARFLAGS((PyArrayObject*)vnm, NPY_ARRAY_C_CONTIGUOUS);
assert(PyArray_Size(vnm) == (r_n * f_n * beta_n));
assert(PyArray_NBYTES(vnm) == (r_n * f_n * beta_n * sizeof(double complex)));
datap = PyArray_DATA((PyArrayObject*)vnm);
if (kncpus < 0)
kncpus = beta_n < syscpus ? beta_n : syscpus;
else
kncpus = kncpus > syscpus ? syscpus : kncpus;
if ((r_n * f_n * beta_n) != 0) {
datar = PyArray_DATA((PyArrayObject*)r);
dataf = PyArray_DATA((PyArrayObject*)f);
datan = PyArray_DATA((PyArrayObject*)n);
datam = PyArray_DATA((PyArrayObject*)m);
Py_BEGIN_ALLOW_THREADS
ret = vnmpocnp(r_n, datar,
f_n, dataf,
beta_n,
datan, datam,
kL_max, kbessel_name,
kncpus,
kverb, datap, &error);
Py_END_ALLOW_THREADS
if (ret) {
Py_XDECREF(vnm);
goto exit_decrement;
}
}
int
_PyArray_CopyInto(PyArrayObject* dest, PyArrayObject* src)
{
memcpy(PyArray_DATA(dest), PyArray_DATA(src), PyArray_NBYTES(dest));
return 0;
}