8000 DEP: Deprecate NumPy object scalars by seberg · Pull Request #16850 · numpy/numpy · GitHub
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DEP: Deprecate NumPy object scalars #16850

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Jul 21, 2020
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26 changes: 26 additions & 0 deletions numpy/core/src/multiarray/scalartypes.c.src
Original file line number Diff line number Diff line change
Expand Up @@ -2571,6 +2571,31 @@ void_dealloc(PyVoidScalarObject *v)
Py_TYPE(v)->tp_free(v);
}

8000
static PyObject *
object_arrtype_alloc(PyTypeObject *type, Py_ssize_t items)
{
/*
* Object scalars should not actually exist, if they exist we should
* consider it to be a bug.
*/
static PyObject *visibleDeprecationWarning = NULL;
npy_cache_import("numpy", "VisibleDeprecationWarning",
&visibleDeprecationWarning);
if (visibleDeprecationWarning == NULL) {
return NULL;
}
if (PyErr_WarnEx(visibleDeprecationWarning,
"Creating a NumPy object scalar. NumPy object scalars should "
"never be created. If you see this message please inform the "
"NumPy developers. Since this message should never be shown "
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Should we link to the issue tracker here ?

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I think it is fine like this, people who might be doing this should know where to find us.

"this will raise a TypeError in the future.", 1) < 0) {
return NULL;
}
return gentype_alloc(type, items);
}


static void
object_arrtype_dealloc(PyObject *v)
{
Expand Down Expand Up @@ -3298,6 +3323,7 @@ NPY_NO_EXPORT PyTypeObject PyObjectArrType_Type = {
PyVarObject_HEAD_INIT(NULL, 0)
.tp_name = "numpy.object_",
.tp_basicsize = sizeof(PyObjectScalarObject),
.tp_alloc = object_arrtype_alloc,
.tp_dealloc = (destructor)object_arrtype_dealloc,
.tp_as_sequence = &object_arrtype_as_sequence,
.tp_as_mapping = &object_arrtype_as_mapping,
Expand Down
0