New submission from Karl Nelson <[email protected]>:
PyType_FromSpecWithBases is missing an argument for taking a meta class. As a
result it is necessary to replicate a large portion of Python code when I need
to create a new heap type with a specified meta class. This is a maintenance
issue as replicating Python code is likely to get broken in future.
I have replicated to code from JPype so that it is clear how the meta class is
coming into place. PyJPClass_Type is derived from a
PyHeapType with additional slots for Java to use and overrides allocation slots
to that it can add extra slots (needs true multiple inheritance as it needed to
add Java slots to types with mismatching memory layouts object, long, float,
exception, ...).
This code could be made much safer if there were a PyType_FromSpecWithBasesMeta
which used the meta class to allocate the memory (then I could safely override
the slots after creation).
```
PyObject* PyJPClass_FromSpecWithBases(PyType_Spec *spec, PyObject *bases)
{
JP_PY_TRY("PyJPClass_FromSpecWithBases");
// Python lacks a FromSpecWithMeta so we are going to have to fake it
here.
PyTypeObject* type = (PyTypeObject*)
PyJPClass_Type->tp_alloc(PyJPClass_Type, 0); // <== we need to use the meta
class here
PyHeapTypeObject* heap = (PyHeapTypeObject*) type;
type->tp_flags = spec->flags | Py_TPFLAGS_HEAPTYPE | Py_TPFLAGS_HAVE_GC;
type->tp_name = spec->name;
const char *s = strrchr(spec->name, '.');
if (s == NULL)
s = spec->name;
else
s++;
heap->ht_qualname = PyUnicode_FromString(s);
heap->ht_name = heap->ht_qualname;
Py_INCREF(heap->ht_name);
if (bases == NULL)
type->tp_bases = PyTuple_Pack(1, (PyObject*) &
PyBaseObject_Type);
else
{
type->tp_bases = bases;
Py_INCREF(bases);
}
type->tp_base = (PyTypeObject*) PyTuple_GetItem(type->tp_bases, 0);
Py_INCREF(type->tp_base);
type->tp_as_async = &heap->as_async;
type->tp_as_buffer = &heap->as_buffer;
type->tp_as_mapping = &heap->as_mapping;
type->tp_as_number = &heap->as_number;
type->tp_as_sequence = &heap->as_sequence;
type->tp_basicsize = spec->basicsize;
if (spec->basicsize == 0)
type->tp_basicsize = type->tp_base->tp_basicsize;
type->tp_itemsize = spec->itemsize;
if (spec->itemsize == 0)
type->tp_itemsize = type->tp_base->tp_itemsize;
// <=== Replicated code from the meta class
type->tp_alloc = PyJPValue_alloc;
type->tp_free = PyJPValue_free;
type->tp_finalize = (destructor) PyJPValue_finalize;
// <= Replicated code from Python
for (PyType_Slot* slot = spec->slots; slot->slot; slot++)
{
switch (slot->slot)
{
case Py_tp_free:
type->tp_free = (freefunc) slot->pfunc;
break;
case Py_tp_new:
type->tp_new = (newfunc) slot->pfunc;
break;
case Py_tp_init:
type->tp_init = (initproc) slot->pfunc;
break;
case Py_tp_getattro:
type->tp_getattro = (getattrofunc) slot->pfunc;
break;
case Py_tp_setattro:
type->tp_setattro = (setattrofunc) slot->pfunc;
break;
case Py_tp_dealloc:
type->tp_dealloc = (destructor) slot->pfunc;
break;
case Py_tp_str:
type->tp_str = (reprfunc) slot->pfunc;
break;
case Py_tp_repr:
type->tp_repr = (reprfunc) slot->pfunc;
break;
case Py_tp_methods:
type->tp_methods = (PyMethodDef*) slot->pfunc;
break;
case Py_sq_item:
heap->as_sequence.sq_item = (ssizeargfunc)
slot->pfunc;
break;
case Py_sq_length:
heap->as_sequence.sq_length = (lenfunc)
slot->pfunc;
break;
case Py_mp_ass_subscript:
heap->as_mapping.mp_ass_subscript =
(objobjargproc) slot->pfunc;
break;
case Py_tp_hash:
type->tp_hash = (hashfunc) slot->pfunc;
break;
case Py_nb_int:
heap->as_number.nb_int = (unaryfunc)
slot->pfunc;
break;
case Py_nb_float:
heap->as_number.nb_float = (unaryfunc)
slot->pfunc;
break;
case Py_tp_richcompare:
type->tp_richcompare = (richcmpfunc)
slot->pfunc;
break;
case Py_mp_subscript:
heap->as_mapping.mp_subscript = (binaryfunc)
slot->pfunc;
break;
case Py_nb_index:
heap->as_number.nb_index = (unaryfunc)
slot->pfunc;
break;
case Py_nb_absolute:
heap->as_number.nb_absolute = (unaryfunc)
slot->pfunc;
break;
case Py_nb_and:
heap->as_number.nb_and = (binaryfunc)
slot->pfunc;
break;
case Py_nb_or:
heap->as_number.nb_or = (binaryfunc)
slot->pfunc;
break;
case Py_nb_xor:
heap->as_number.nb_xor = (binaryfunc)
slot->pfunc;
break;
case Py_nb_add:
heap->as_number.nb_add = (binaryfunc)
slot->pfunc;
break;
case Py_nb_subtract:
heap->as_number.nb_subtract = (binaryfunc)
slot->pfunc;
break;
case Py_nb_multiply:
heap->as_number.nb_multiply = (binaryfunc)
slot->pfunc;
break;
case Py_nb_rshift:
heap->as_number.nb_rshift = (binaryfunc)
slot->pfunc;
break;
case Py_nb_lshift:
heap->as_number.nb_lshift = (binaryfunc)
slot->pfunc;
break;
case Py_nb_negative:
heap->as_number.nb_negative = (unaryfunc)
slot->pfunc;
break;
case Py_nb_bool:
heap->as_number.nb_bool = (inquiry) slot->pfunc;
break;
case Py_nb_invert:
heap->as_number.nb_invert = (unaryfunc)
slot->pfunc;
break;
case Py_nb_positive:
heap->as_number.nb_positive = (unaryfunc)
slot->pfunc;
break;
case Py_nb_floor_divide:
heap->as_number.nb_floor_divide = (binaryfunc)
slot->pfunc;
break;
case Py_nb_divmod:
heap->as_number.nb_divmod = (binaryfunc)
slot->pfunc;
break;
case Py_tp_getset:
type->tp_getset = (PyGetSetDef*) slot->pfunc;
break;
// GCOVR_EXCL_START
default:
PyErr_Format(PyExc_TypeError, "slot %d not
implemented", slot->slot);
JP_RAISE_PYTHON();
// GCOVR_EXCL_STOP
}
}
PyType_Ready(type);
PyDict_SetItemString(type->tp_dict, "__module__",
PyUnicode_FromString("_jpype"));
return (PyObject*) type;
JP_PY_CATCH(NULL); // GCOVR_EXCL_LINE
}
```
----------
components: C API
messages: 382850
nosy: Thrameos
priority: normal
severity: normal
status: open
title: Enhancement request for PyType_FromSpecWIthBases add option for meta
class
type: enhancement
_______________________________________
Python tracker <[email protected]>
<https://bugs.python.org/issue42617>
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