gh-60074: add new stable API function PyType_FromMetaclass (GH-93012)

Added a new stable API function ``PyType_FromMetaclass``, which mirrors
the behavior of ``PyType_FromModuleAndSpec`` except that it takes an
additional metaclass argument. This is, e.g., useful for language
binding tools that need to store additional information in the type
object.
This commit is contained in:
Wenzel Jakob 2022-05-27 10:27:39 +02:00 committed by GitHub
parent 20d30ba2cc
commit 5e34b494a0
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GPG Key ID: 4AEE18F83AFDEB23
12 changed files with 150 additions and 14 deletions

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@ -190,11 +190,16 @@ Creating Heap-Allocated Types
The following functions and structs are used to create
:ref:`heap types <heap-types>`.
.. c:function:: PyObject* PyType_FromModuleAndSpec(PyObject *module, PyType_Spec *spec, PyObject *bases)
.. c:function:: PyObject* PyType_FromMetaclass(PyTypeObject *metaclass, PyObject *module, PyType_Spec *spec, PyObject *bases)
Creates and returns a :ref:`heap type <heap-types>` from the *spec*
Create and return a :ref:`heap type <heap-types>` from the *spec*
(:const:`Py_TPFLAGS_HEAPTYPE`).
The metaclass *metaclass* is used to construct the resulting type object.
When *metaclass* is ``NULL``, the default :c:type:`PyType_Type` is used
instead. Note that metaclasses that override
:c:member:`~PyTypeObject.tp_new` are not supported.
The *bases* argument can be used to specify base classes; it can either
be only one class or a tuple of classes.
If *bases* is ``NULL``, the *Py_tp_bases* slot is used instead.
@ -210,6 +215,12 @@ The following functions and structs are used to create
This function calls :c:func:`PyType_Ready` on the new type.
.. versionadded:: 3.12
.. c:function:: PyObject* PyType_FromModuleAndSpec(PyObject *module, PyType_Spec *spec, PyObject *bases)
Equivalent to ``PyType_FromMetaclass(NULL, module, spec, bases)``.
.. versionadded:: 3.9
.. versionchanged:: 3.10
@ -217,15 +228,16 @@ The following functions and structs are used to create
The function now accepts a single class as the *bases* argument and
``NULL`` as the ``tp_doc`` slot.
.. c:function:: PyObject* PyType_FromSpecWithBases(PyType_Spec *spec, PyObject *bases)
Equivalent to ``PyType_FromModuleAndSpec(NULL, spec, bases)``.
Equivalent to ``PyType_FromMetaclass(NULL, NULL, spec, bases)``.
.. versionadded:: 3.3
.. c:function:: PyObject* PyType_FromSpec(PyType_Spec *spec)
Equivalent to ``PyType_FromSpecWithBases(spec, NULL)``.
Equivalent to ``PyType_FromMetaclass(NULL, NULL, spec, NULL)``.
.. c:type:: PyType_Spec

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@ -2071,7 +2071,7 @@ flag set.
This is done by filling a :c:type:`PyType_Spec` structure and calling
:c:func:`PyType_FromSpec`, :c:func:`PyType_FromSpecWithBases`,
or :c:func:`PyType_FromModuleAndSpec`.
:c:func:`PyType_FromModuleAndSpec`, or :c:func:`PyType_FromMetaclass`.
.. _number-structs:

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@ -653,6 +653,7 @@ function,PyTuple_Size,3.2,,
var,PyTuple_Type,3.2,,
type,PyTypeObject,3.2,,opaque
function,PyType_ClearCache,3.2,,
function,PyType_FromMetaclass,3.12,,
function,PyType_FromModuleAndSpec,3.10,,
function,PyType_FromSpec,3.2,,
function,PyType_FromSpecWithBases,3.3,,

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@ -151,6 +151,11 @@ C API Changes
New Features
------------
* Added the new limited C API function :c:func:`PyType_FromMetaclass`,
which generalizes the existing :c:func:`PyType_FromModuleAndSpec` using
an additional metaclass argument.
(Contributed by Wenzel Jakob in :gh:`93012`.)
Porting to Python 3.12
----------------------

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@ -257,6 +257,9 @@ PyAPI_FUNC(void *) PyType_GetModuleState(PyTypeObject *);
PyAPI_FUNC(PyObject *) PyType_GetName(PyTypeObject *);
PyAPI_FUNC(PyObject *) PyType_GetQualName(PyTypeObject *);
#endif
#if !defined(Py_LIMITED_API) || Py_LIMITED_API+0 >= 0x030C0000
PyAPI_FUNC(PyObject *) PyType_FromMetaclass(PyTypeObject*, PyObject*, PyType_Spec*, PyObject*);
#endif
/* Generic type check */
PyAPI_FUNC(int) PyType_IsSubtype(PyTypeObject *, PyTypeObject *);

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@ -605,6 +605,19 @@ class CAPITest(unittest.TestCase):
del obj.value
self.assertEqual(obj.pvalue, 0)
def test_heaptype_with_custom_metaclass(self):
self.assertTrue(issubclass(_testcapi.HeapCTypeMetaclass, type))
self.assertTrue(issubclass(_testcapi.HeapCTypeMetaclassCustomNew, type))
t = _testcapi.pytype_fromspec_meta(_testcapi.HeapCTypeMetaclass)
self.assertIsInstance(t, type)
self.assertEqual(t.__name__, "HeapCTypeViaMetaclass")
self.assertIs(type(t), _testcapi.HeapCTypeMetaclass)
msg = "Metaclasses with custom tp_new are not supported."
with self.assertRaisesRegex(TypeError, msg):
t = _testcapi.pytype_fromspec_meta(_testcapi.HeapCTypeMetaclassCustomNew)
def test_pynumber_tobase(self):
from _testcapi import pynumber_tobase
self.assertEqual(pynumber_tobase(123, 2), '0b1111011')

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@ -660,6 +660,7 @@ SYMBOL_NAMES = (
"PyTuple_Size",
"PyTuple_Type",
"PyType_ClearCache",
"PyType_FromMetaclass",
"PyType_FromModuleAndSpec",
"PyType_FromSpec",
"PyType_FromSpecWithBases",

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@ -0,0 +1,8 @@
Added the new function :c:func:`PyType_FromMetaclass`, which generalizes the
existing :c:func:`PyType_FromModuleAndSpec` using an additional metaclass
argument. This is useful for language binding tools, where it can be used to
intercept type-related operations like subclassing or static attribute access
by specifying a metaclass with custom slots.
Importantly, :c:func:`PyType_FromMetaclass` is available in the Limited API,
which provides a path towards migrating more binding tools onto the Stable ABI.

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@ -2275,3 +2275,5 @@
added = '3.11'
[function.PyErr_SetHandledException]
added = '3.11'
[function.PyType_FromMetaclass]
added = '3.12'

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@ -308,6 +308,32 @@ test_dict_inner(int count)
}
}
static PyObject *pytype_fromspec_meta(PyObject* self, PyObject *meta)
{
if (!PyType_Check(meta)) {
PyErr_SetString(
TestError,
"pytype_fromspec_meta: must be invoked with a type argument!");
return NULL;
}
PyType_Slot HeapCTypeViaMetaclass_slots[] = {
{0},
};
PyType_Spec HeapCTypeViaMetaclass_spec = {
"_testcapi.HeapCTypeViaMetaclass",
sizeof(PyObject),
0,
Py_TPFLAGS_DEFAULT,
HeapCTypeViaMetaclass_slots
};
return PyType_FromMetaclass(
(PyTypeObject *) meta, NULL, &HeapCTypeViaMetaclass_spec, NULL);
}
static PyObject*
test_dict_iteration(PyObject* self, PyObject *Py_UNUSED(ignored))
{
@ -5886,6 +5912,7 @@ static PyMethodDef TestMethods[] = {
{"test_long_numbits", test_long_numbits, METH_NOARGS},
{"test_k_code", test_k_code, METH_NOARGS},
{"test_empty_argparse", test_empty_argparse, METH_NOARGS},
{"pytype_fromspec_meta", pytype_fromspec_meta, METH_O},
{"parse_tuple_and_keywords", parse_tuple_and_keywords, METH_VARARGS},
{"pyobject_repr_from_null", pyobject_repr_from_null, METH_NOARGS},
{"pyobject_str_from_null", pyobject_str_from_null, METH_NOARGS},
@ -7078,6 +7105,38 @@ static PyType_Spec HeapCTypeSubclassWithFinalizer_spec = {
HeapCTypeSubclassWithFinalizer_slots
};
static PyType_Slot HeapCTypeMetaclass_slots[] = {
{0},
};
static PyType_Spec HeapCTypeMetaclass_spec = {
"_testcapi.HeapCTypeMetaclass",
sizeof(PyHeapTypeObject),
sizeof(PyMemberDef),
Py_TPFLAGS_DEFAULT,
HeapCTypeMetaclass_slots
};
static PyObject *
heap_ctype_metaclass_custom_tp_new(PyTypeObject *tp, PyObject *args, PyObject *kwargs)
{
return PyType_Type.tp_new(tp, args, kwargs);
}
static PyType_Slot HeapCTypeMetaclassCustomNew_slots[] = {
{ Py_tp_new, heap_ctype_metaclass_custom_tp_new },
{0},
};
static PyType_Spec HeapCTypeMetaclassCustomNew_spec = {
"_testcapi.HeapCTypeMetaclassCustomNew",
sizeof(PyHeapTypeObject),
sizeof(PyMemberDef),
Py_TPFLAGS_DEFAULT,
HeapCTypeMetaclassCustomNew_slots
};
typedef struct {
PyObject_HEAD
PyObject *dict;
@ -7591,6 +7650,20 @@ PyInit__testcapi(void)
Py_DECREF(subclass_with_finalizer_bases);
PyModule_AddObject(m, "HeapCTypeSubclassWithFinalizer", HeapCTypeSubclassWithFinalizer);
PyObject *HeapCTypeMetaclass = PyType_FromMetaclass(
&PyType_Type, m, &HeapCTypeMetaclass_spec, (PyObject *) &PyType_Type);
if (HeapCTypeMetaclass == NULL) {
return NULL;
}
PyModule_AddObject(m, "HeapCTypeMetaclass", HeapCTypeMetaclass);
PyObject *HeapCTypeMetaclassCustomNew = PyType_FromMetaclass(
&PyType_Type, m, &HeapCTypeMetaclassCustomNew_spec, (PyObject *) &PyType_Type);
if (HeapCTypeMetaclassCustomNew == NULL) {
return NULL;
}
PyModule_AddObject(m, "HeapCTypeMetaclassCustomNew", HeapCTypeMetaclassCustomNew);
if (PyType_Ready(&ContainerNoGC_type) < 0) {
return NULL;
}

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@ -3366,13 +3366,8 @@ static const PySlot_Offset pyslot_offsets[] = {
};
PyObject *
PyType_FromSpecWithBases(PyType_Spec *spec, PyObject *bases)
{
return PyType_FromModuleAndSpec(NULL, spec, bases);
}
PyObject *
PyType_FromModuleAndSpec(PyObject *module, PyType_Spec *spec, PyObject *bases)
PyType_FromMetaclass(PyTypeObject *metaclass, PyObject *module,
PyType_Spec *spec, PyObject *bases)
{
PyHeapTypeObject *res;
PyObject *modname;
@ -3384,6 +3379,16 @@ PyType_FromModuleAndSpec(PyObject *module, PyType_Spec *spec, PyObject *bases)
char *res_start;
short slot_offset, subslot_offset;
if (!metaclass) {
metaclass = &PyType_Type;
}
if (metaclass->tp_new != PyType_Type.tp_new) {
PyErr_SetString(PyExc_TypeError,
"Metaclasses with custom tp_new are not supported.");
return NULL;
}
nmembers = weaklistoffset = dictoffset = vectorcalloffset = 0;
for (slot = spec->slots; slot->slot; slot++) {
if (slot->slot == Py_tp_members) {
@ -3412,7 +3417,7 @@ PyType_FromModuleAndSpec(PyObject *module, PyType_Spec *spec, PyObject *bases)
}
}
res = (PyHeapTypeObject*)PyType_GenericAlloc(&PyType_Type, nmembers);
res = (PyHeapTypeObject*)metaclass->tp_alloc(metaclass, nmembers);
if (res == NULL)
return NULL;
res_start = (char*)res;
@ -3639,10 +3644,22 @@ PyType_FromModuleAndSpec(PyObject *module, PyType_Spec *spec, PyObject *bases)
return NULL;
}
PyObject *
PyType_FromModuleAndSpec(PyObject *module, PyType_Spec *spec, PyObject *bases)
{
return PyType_FromMetaclass(NULL, module, spec, bases);
}
PyObject *
PyType_FromSpecWithBases(PyType_Spec *spec, PyObject *bases)
{
return PyType_FromMetaclass(NULL, NULL, spec, bases);
}
PyObject *
PyType_FromSpec(PyType_Spec *spec)
{
return PyType_FromSpecWithBases(spec, NULL);
return PyType_FromMetaclass(NULL, NULL, spec, NULL);
}
PyObject *

1
PC/python3dll.c generated
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@ -599,6 +599,7 @@ EXPORT_FUNC(PyTuple_Pack)
EXPORT_FUNC(PyTuple_SetItem)
EXPORT_FUNC(PyTuple_Size)
EXPORT_FUNC(PyType_ClearCache)
EXPORT_FUNC(PyType_FromMetaclass)
EXPORT_FUNC(PyType_FromModuleAndSpec)
EXPORT_FUNC(PyType_FromSpec)
EXPORT_FUNC(PyType_FromSpecWithBases)