static int
arrayflags_ownmaskna_set(PyArrayFlagsObject *self, PyObject *obj)
{
if (self->arr == NULL) {
PyErr_SetString(PyExc_ValueError, "Cannot set flags on array scalars.");
return -1;
}
if (PyObject_IsTrue(obj)) {
return PyArray_AllocateMaskNA((PyArrayObject *)self->arr, 1, 0, 1);
}
else {
if (self->flags & NPY_ARRAY_OWNMASKNA) {
PyErr_SetString(PyExc_ValueError,
"Cannot remove a NumPy array's NA mask");
return -1;
}
else {
return 0;
}
}
}
/*NUMPY_API
* Clip
*
* TODO: For adding NA support, a Clip UFunc should be created, then
* this should call that ufunc. 'min' and 'max' can default to
* the -inf/+inf or the smallest/largest representable values
* of the dtype respectively.
*/
NPY_NO_EXPORT PyObject *
PyArray_Clip(PyArrayObject *self, PyObject *min, PyObject *max, PyArrayObject *out)
{
PyArray_FastClipFunc *func;
int outgood = 0, ingood = 0;
PyArrayObject *maxa = NULL;
PyArrayObject *mina = NULL;
PyArrayObject *newout = NULL, *newin = NULL;
PyArray_Descr *indescr, *newdescr;
char *max_data, *min_data;
PyObject *zero;
/* Treat None the same as NULL */
if (min == Py_None) {
min = NULL;
}
if (max == Py_None) {
max = NULL;
}
if ((max == NULL) && (min == NULL)) {
PyErr_SetString(PyExc_ValueError,
"array_clip: must set either max or min");
return NULL;
}
func = PyArray_DESCR(self)->f->fastclip;
/* Trigger the slow array clip for NA support as well */
if (func == NULL ||
PyArray_HASMASKNA(self) ||
(min != NULL &&
(!PyArray_CheckAnyScalar(min) ||
(PyArray_Check(min) &&
PyArray_HASMASKNA((PyArrayObject *)min)))) ||
(max != NULL &&
(!PyArray_CheckAnyScalar(max) ||
(PyArray_Check(max) &&
PyArray_HASMASKNA((PyArrayObject *)max))))) {
return _slow_array_clip(self, min, max, out);
}
/* Use the fast scalar clip function */
/* First we need to figure out the correct type */
indescr = NULL;
if (min != NULL) {
indescr = PyArray_DescrFromObject(min, NULL);
if (indescr == NULL) {
return NULL;
}
}
if (max != NULL) {
newdescr = PyArray_DescrFromObject(max, indescr);
Py_XDECREF(indescr);
if (newdescr == NULL) {
return NULL;
}
}
else {
/* Steal the reference */
newdescr = indescr;
}
/*
* Use the scalar descriptor only if it is of a bigger
* KIND than the input array (and then find the
* type that matches both).
*/
if (PyArray_ScalarKind(newdescr->type_num, NULL) >
PyArray_ScalarKind(PyArray_DESCR(self)->type_num, NULL)) {
indescr = PyArray_PromoteTypes(newdescr, PyArray_DESCR(self));
func = indescr->f->fastclip;
if (func == NULL) {
return _slow_array_clip(self, min, max, out);
}
}
else {
indescr = PyArray_DESCR(self);
Py_INCREF(indescr);
}
Py_DECREF(newdescr);
if (!PyDataType_ISNOTSWAPPED(indescr)) {
PyArray_Descr *descr2;
descr2 = PyArray_DescrNewByteorder(indescr, '=');
Py_DECREF(indescr);
if (descr2 == NULL) {
goto fail;
}
indescr = descr2;
}
/* Convert max to an array */
if (max != NULL) {
maxa = (PyArrayObject *)PyArray_FromAny(max, indescr, 0, 0,
NPY_ARRAY_DEFAULT, NULL);
if (maxa == NULL) {
return NULL;
}
}
else {
/* Side-effect of PyArray_FromAny */
Py_DECREF(indescr);
}
/*
* If we are unsigned, then make sure min is not < 0
* This is to match the behavior of _slow_array_clip
*
* We allow min and max to go beyond the limits
* for other data-types in which case they
* are interpreted as their modular counterparts.
*/
if (min != NULL) {
if (PyArray_ISUNSIGNED(self)) {
int cmp;
zero = PyInt_FromLong(0);
cmp = PyObject_RichCompareBool(min, zero, Py_LT);
if (cmp == -1) {
Py_DECREF(zero);
goto fail;
}
if (cmp == 1) {
min = zero;
}
else {
Py_DECREF(zero);
Py_INCREF(min);
}
}
else {
Py_INCREF(min);
}
/* Convert min to an array */
Py_INCREF(indescr);
mina = (PyArrayObject *)PyArray_FromAny(min, indescr, 0, 0,
NPY_ARRAY_DEFAULT, NULL);
Py_DECREF(min);
if (mina == NULL) {
goto fail;
}
}
/*
* Check to see if input is single-segment, aligned,
* and in native byteorder
*/
if (PyArray_ISONESEGMENT(self) &&
PyArray_CHKFLAGS(self, NPY_ARRAY_ALIGNED) &&
PyArray_ISNOTSWAPPED(self) &&
(PyArray_DESCR(self) == indescr)) {
ingood = 1;
}
if (!ingood) {
int flags;
if (PyArray_ISFORTRAN(self)) {
flags = NPY_ARRAY_FARRAY;
}
else {
flags = NPY_ARRAY_CARRAY;
}
Py_INCREF(indescr);
newin = (PyArrayObject *)PyArray_FromArray(self, indescr, flags);
if (newin == NULL) {
goto fail;
}
}
else {
newin = self;
Py_INCREF(newin);
}
/*
* At this point, newin is a single-segment, aligned, and correct
* byte-order array of the correct type
*
* if ingood == 0, then it is a copy, otherwise,
* it is the original input.
*/
/*
* If we have already made a copy of the data, then use
* that as the output array
*/
if (out == NULL && !ingood) {
out = newin;
}
/*
* Now, we know newin is a usable array for fastclip,
* we need to make sure the output array is available
* and usable
*/
if (out == NULL) {
Py_INCREF(indescr);
out = (PyArrayObject*)PyArray_NewFromDescr(Py_TYPE(self),
indescr, PyArray_NDIM(self),
PyArray_DIMS(self),
NULL, NULL,
PyArray_ISFORTRAN(self),
(PyObject *)self);
if (out == NULL) {
goto fail;
}
if ((maxa != NULL && PyArray_HASMASKNA(maxa)) ||
(mina != NULL && PyArray_HASMASKNA(mina))) {
if (PyArray_AllocateMaskNA(out, 1, 0, 1) < 0) {
goto fail;
}
}
outgood = 1;
}
else Py_INCREF(out);
/* Input is good at this point */
if (out == newin) {
outgood = 1;
}
if (!outgood && PyArray_ISONESEGMENT(out) &&
PyArray_CHKFLAGS(out, NPY_ARRAY_ALIGNED) &&
PyArray_ISNOTSWAPPED(out) &&
PyArray_EquivTypes(PyArray_DESCR(out), indescr)) {
outgood = 1;
}
/*
* Do we still not have a suitable output array?
* Create one, now
*/
if (!outgood) {
int oflags;
if (PyArray_ISFORTRAN(out))
oflags = NPY_ARRAY_FARRAY;
else
oflags = NPY_ARRAY_CARRAY;
oflags |= NPY_ARRAY_UPDATEIFCOPY | NPY_ARRAY_FORCECAST;
Py_INCREF(indescr);
newout = (PyArrayObject*)PyArray_FromArray(out, indescr, oflags);
if (newout == NULL) {
goto fail;
}
}
else {
newout = out;
Py_INCREF(newout);
}
/* make sure the shape of the output array is the same */
if (!PyArray_SAMESHAPE(newin, newout)) {
PyErr_SetString(PyExc_ValueError, "clip: Output array must have the"
"same shape as the input.");
goto fail;
}
if (PyArray_DATA(newout) != PyArray_DATA(newin)) {
if (PyArray_AssignArray(newout, newin,
NULL, NPY_DEFAULT_ASSIGN_CASTING,
0, NULL) < 0) {
goto fail;
}
}
/* Now we can call the fast-clip function */
min_data = max_data = NULL;
if (mina != NULL) {
min_data = PyArray_DATA(mina);
}
if (maxa != NULL) {
max_data = PyArray_DATA(maxa);
}
func(PyArray_DATA(newin), PyArray_SIZE(newin), min_data, max_data, PyArray_DATA(newout));
/* Clean up temporary variables */
Py_XDECREF(mina);
Py_XDECREF(maxa);
Py_DECREF(newin);
/* Copy back into out if out was not already a nice array. */
Py_DECREF(newout);
return (PyObject *)out;
fail:
Py_XDECREF(maxa);
Py_XDECREF(mina);
Py_XDECREF(newin);
PyArray_XDECREF_ERR(newout);
return NULL;
}