[英]How is super() in Python 3 implemented?
我想知道 Python 3 中的新 super 是如何實現的。
在我做了一個小例子並且出現了一個奇怪的錯誤之后,這個問題在我腦海中誕生了。 我正在使用Pyutilib 組件架構 (PCA) ,並且我已經創建了自定義元類來驅動另一個類的創建:
from pyutilib.component.core import implements, SingletonPlugin, PluginMeta, Interface
class IPass(Interface):
pass
class __MetaPlugin(PluginMeta):
def __new__(cls, name, baseClasses, classdict):
print(cls, name, baseClasses, classdict)
if baseClasses:
baseClasses += (SingletonPlugin,)
return PluginMeta.__new__(cls, name, baseClasses, classdict)
class Pass(metaclass=__MetaPlugin):
implements(IPass)
def __init__(self, inputs=[], outputs=[]):
self.inputs = []
self.outputs = []
class A(Pass):
def __init__(self):
print(self.__class__) # <class '__main__.A'>
print(self.__class__.__class__) # <class '__main__.__MetaPlugin'>
print(PluginMeta.__class__) # <class 'type'>
super().__init__() # SystemError: super(): empty __class__ cell
#Pass.__init__(self) - this works
a = A()
我收到以下錯誤:
super().__init__() SystemError: super(): empty __class__ cell
我想知道 super() 到底是做什么的,它會在super().__init__()
上引發錯誤,而所有self.__class__
、 self.__class__.__class__
和PluginMeta.__class__
都存在。 額外的“舊方法” - Pass.__init__(self)
正在工作。
TL;DR :當元類在完成其__new__
和__init__
之前嘗試調用已定義類中的方法(或實例化它)並且被調用的方法使用super
時,將發生此"empty __class__ cell"
錯誤。 如果在類主體外部定義的函數中編寫對super()
的調用,並嘗試將此方法添加到現有類並使用它,也會發生該錯誤。 (更新:此行為已在 Python 3.6 中修復)
Python 3 super 隱式引用了一個“神奇的” __class__
[*] 名稱,該名稱在每個類方法的命名空間中充當單元格變量。
這個變量是在類創建機制結束時自動創建的——即只要在 Python 中有一個類主體,元類的__new__
和__init__
就會運行——當__init__
完成時,__ __class__
單元格被填充並可供類的方法使用。
這里發生的事情很可能(我沒有查看所有代碼)在PluginMeta
初始化代碼中,類的__init__
在元類__init__
結束之前被調用 - 因為這個元類的要點之一是處理單例- 可能發生的情況是元類機制在從元類的__init__
返回之前實例化單個實例並填充__instance__
。 此時 super 使用的隱式__class__
不存在。
因此,通過硬編碼名稱引用超類,就像在 Python2 中的super
之前必須做的那樣 - 並且是實現您想要的東西的最佳方式。
*
- 這不是實例的self.__class__
屬性,它是方法內部實際可用的__class__
變量:
class A:
def a(self):
print ("Instance's class: {}, "
"actual class where this line is coded: {}".format(
self.__class__, __class__))
class B(A):
pass
運行這個我們有:
>>> B().a()
Instance's class: <class '__main__.B'>, actual class where this line is coded: <class '__main__.A'>
>>>
來自 Python 數據模型:
如果類主體中的任何方法引用
__class__
或super
,則__class__
是編譯器創建的隱式閉包引用。 這允許super()
的零參數形式根據詞法范圍正確識別正在定義的類,同時根據傳遞給該方法的第一個參數識別用於進行當前調用的類或實例。
有關詳細信息,請查看PEP 3135
super()
是如何實現的? 這是python3.3的代碼:
/* Cooperative 'super' */
typedef struct {
PyObject_HEAD
PyTypeObject *type;
PyObject *obj;
PyTypeObject *obj_type;
} superobject;
static PyMemberDef super_members[] = {
{"__thisclass__", T_OBJECT, offsetof(superobject, type), READONLY,
"the class invoking super()"},
{"__self__", T_OBJECT, offsetof(superobject, obj), READONLY,
"the instance invoking super(); may be None"},
{"__self_class__", T_OBJECT, offsetof(superobject, obj_type), READONLY,
"the type of the instance invoking super(); may be None"},
{0}
};
static void
super_dealloc(PyObject *self)
{
superobject *su = (superobject *)self;
_PyObject_GC_UNTRACK(self);
Py_XDECREF(su->obj);
Py_XDECREF(su->type);
Py_XDECREF(su->obj_type);
Py_TYPE(self)->tp_free(self);
}
static PyObject *
super_repr(PyObject *self)
{
superobject *su = (superobject *)self;
if (su->obj_type)
return PyUnicode_FromFormat(
"<super: <class '%s'>, <%s object>>",
su->type ? su->type->tp_name : "NULL",
su->obj_type->tp_name);
else
return PyUnicode_FromFormat(
"<super: <class '%s'>, NULL>",
su->type ? su->type->tp_name : "NULL");
}
static PyObject *
super_getattro(PyObject *self, PyObject *name)
{
superobject *su = (superobject *)self;
int skip = su->obj_type == NULL;
if (!skip) {
/* We want __class__ to return the class of the super object
(i.e. super, or a subclass), not the class of su->obj. */
skip = (PyUnicode_Check(name) &&
PyUnicode_GET_LENGTH(name) == 9 &&
PyUnicode_CompareWithASCIIString(name, "__class__") == 0);
}
if (!skip) {
PyObject *mro, *res, *tmp, *dict;
PyTypeObject *starttype;
descrgetfunc f;
Py_ssize_t i, n;
starttype = su->obj_type;
mro = starttype->tp_mro;
if (mro == NULL)
n = 0;
else {
assert(PyTuple_Check(mro));
n = PyTuple_GET_SIZE(mro);
}
for (i = 0; i < n; i++) {
if ((PyObject *)(su->type) == PyTuple_GET_ITEM(mro, i))
break;
}
i++;
res = NULL;
/* keep a strong reference to mro because starttype->tp_mro can be
replaced during PyDict_GetItem(dict, name) */
Py_INCREF(mro);
for (; i < n; i++) {
tmp = PyTuple_GET_ITEM(mro, i);
if (PyType_Check(tmp))
dict = ((PyTypeObject *)tmp)->tp_dict;
else
continue;
res = PyDict_GetItem(dict, name);
if (res != NULL) {
Py_INCREF(res);
f = Py_TYPE(res)->tp_descr_get;
if (f != NULL) {
tmp = f(res,
/* Only pass 'obj' param if
this is instance-mode super
(See SF ID #743627)
*/
(su->obj == (PyObject *)
su->obj_type
? (PyObject *)NULL
: su->obj),
(PyObject *)starttype);
Py_DECREF(res);
res = tmp;
}
Py_DECREF(mro);
return res;
}
}
Py_DECREF(mro);
}
return PyObject_GenericGetAttr(self, name);
}
static PyTypeObject *
supercheck(PyTypeObject *type, PyObject *obj)
{
/* Check that a super() call makes sense. Return a type object.
obj can be a class, or an instance of one:
- If it is a class, it must be a subclass of 'type'. This case is
used for class methods; the return value is obj.
- If it is an instance, it must be an instance of 'type'. This is
the normal case; the return value is obj.__class__.
But... when obj is an instance, we want to allow for the case where
Py_TYPE(obj) is not a subclass of type, but obj.__class__ is!
This will allow using super() with a proxy for obj.
*/
/* Check for first bullet above (special case) */
if (PyType_Check(obj) && PyType_IsSubtype((PyTypeObject *)obj, type)) {
Py_INCREF(obj);
return (PyTypeObject *)obj;
}
/* Normal case */
if (PyType_IsSubtype(Py_TYPE(obj), type)) {
Py_INCREF(Py_TYPE(obj));
return Py_TYPE(obj);
}
else {
/* Try the slow way */
PyObject *class_attr;
class_attr = _PyObject_GetAttrId(obj, &PyId___class__);
if (class_attr != NULL &&
PyType_Check(class_attr) &&
(PyTypeObject *)class_attr != Py_TYPE(obj))
{
int ok = PyType_IsSubtype(
(PyTypeObject *)class_attr, type);
if (ok)
return (PyTypeObject *)class_attr;
}
if (class_attr == NULL)
PyErr_Clear();
else
Py_DECREF(class_attr);
}
PyErr_SetString(PyExc_TypeError,
"super(type, obj): "
"obj must be an instance or subtype of type");
return NULL;
}
static PyObject *
super_descr_get(PyObject *self, PyObject *obj, PyObject *type)
{
superobject *su = (superobject *)self;
superobject *newobj;
if (obj == NULL || obj == Py_None || su->obj != NULL) {
/* Not binding to an object, or already bound */
Py_INCREF(self);
return self;
}
if (Py_TYPE(su) != &PySuper_Type)
/* If su is an instance of a (strict) subclass of super,
call its type */
return PyObject_CallFunctionObjArgs((PyObject *)Py_TYPE(su),
su->type, obj, NULL);
else {
/* Inline the common case */
PyTypeObject *obj_type = supercheck(su->type, obj);
if (obj_type == NULL)
return NULL;
newobj = (superobject *)PySuper_Type.tp_new(&PySuper_Type,
NULL, NULL);
if (newobj == NULL)
return NULL;
Py_INCREF(su->type);
Py_INCREF(obj);
newobj->type = su->type;
newobj->obj = obj;
newobj->obj_type = obj_type;
return (PyObject *)newobj;
}
}
static int
super_init(PyObject *self, PyObject *args, PyObject *kwds)
{
superobject *su = (superobject *)self;
PyTypeObject *type = NULL;
PyObject *obj = NULL;
PyTypeObject *obj_type = NULL;
if (!_PyArg_NoKeywords("super", kwds))
return -1;
if (!PyArg_ParseTuple(args, "|O!O:super", &PyType_Type, &type, &obj))
return -1;
if (type == NULL) {
/* Call super(), without args -- fill in from __class__
and first local variable on the stack. */
PyFrameObject *f = PyThreadState_GET()->frame;
PyCodeObject *co = f->f_code;
Py_ssize_t i, n;
if (co == NULL) {
PyErr_SetString(PyExc_SystemError,
"super(): no code object");
return -1;
}
if (co->co_argcount == 0) {
PyErr_SetString(PyExc_SystemError,
"super(): no arguments");
return -1;
}
obj = f->f_localsplus[0];
if (obj == NULL) {
PyErr_SetString(PyExc_SystemError,
"super(): arg[0] deleted");
return -1;
}
if (co->co_freevars == NULL)
n = 0;
else {
assert(PyTuple_Check(co->co_freevars));
n = PyTuple_GET_SIZE(co->co_freevars);
}
for (i = 0; i < n; i++) {
PyObject *name = PyTuple_GET_ITEM(co->co_freevars, i);
assert(PyUnicode_Check(name));
if (!PyUnicode_CompareWithASCIIString(name,
"__class__")) {
Py_ssize_t index = co->co_nlocals +
PyTuple_GET_SIZE(co->co_cellvars) + i;
PyObject *cell = f->f_localsplus[index];
if (cell == NULL || !PyCell_Check(cell)) {
PyErr_SetString(PyExc_SystemError,
"super(): bad __class__ cell");
return -1;
}
type = (PyTypeObject *) PyCell_GET(cell);
if (type == NULL) {
PyErr_SetString(PyExc_SystemError,
"super(): empty __class__ cell");
return -1;
}
if (!PyType_Check(type)) {
PyErr_Format(PyExc_SystemError,
"super(): __class__ is not a type (%s)",
Py_TYPE(type)->tp_name);
return -1;
}
break;
}
}
if (type == NULL) {
PyErr_SetString(PyExc_SystemError,
"super(): __class__ cell not found");
return -1;
}
}
if (obj == Py_None)
obj = NULL;
if (obj != NULL) {
obj_type = supercheck(type, obj);
if (obj_type == NULL)
return -1;
Py_INCREF(obj);
}
Py_INCREF(type);
su->type = type;
su->obj = obj;
su->obj_type = obj_type;
return 0;
}
PyDoc_STRVAR(super_doc,
"super() -> same as super(__class__, <first argument>)\n"
"super(type) -> unbound super object\n"
"super(type, obj) -> bound super object; requires isinstance(obj, type)\n"
"super(type, type2) -> bound super object; requires issubclass(type2, type)\n"
"Typical use to call a cooperative superclass method:\n"
"class C(B):\n"
" def meth(self, arg):\n"
" super().meth(arg)\n"
"This works for class methods too:\n"
"class C(B):\n"
" @classmethod\n"
" def cmeth(cls, arg):\n"
" super().cmeth(arg)\n");
static int
super_traverse(PyObject *self, visitproc visit, void *arg)
{
superobject *su = (superobject *)self;
Py_VISIT(su->obj);
Py_VISIT(su->type);
Py_VISIT(su->obj_type);
return 0;
}
PyTypeObject PySuper_Type = {
PyVarObject_HEAD_INIT(&PyType_Type, 0)
"super", /* tp_name */
sizeof(superobject), /* tp_basicsize */
0, /* tp_itemsize */
/* methods */
super_dealloc, /* tp_dealloc */
0, /* tp_print */
0, /* tp_getattr */
0, /* tp_setattr */
0, /* tp_reserved */
super_repr, /* tp_repr */
0, /* tp_as_number */
0, /* tp_as_sequence */
0, /* tp_as_mapping */
0, /* tp_hash */
0, /* tp_call */
0, /* tp_str */
super_getattro, /* tp_getattro */
0, /* tp_setattro */
0, /* tp_as_buffer */
Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC |
Py_TPFLAGS_BASETYPE, /* tp_flags */
super_doc, /* tp_doc */
super_traverse, /* tp_traverse */
0, /* tp_clear */
0, /* tp_richcompare */
0, /* tp_weaklistoffset */
0, /* tp_iter */
0, /* tp_iternext */
0, /* tp_methods */
super_members, /* tp_members */
0, /* tp_getset */
0, /* tp_base */
0, /* tp_dict */
super_descr_get, /* tp_descr_get */
0, /* tp_descr_set */
0, /* tp_dictoffset */
super_init, /* tp_init */
PyType_GenericAlloc, /* tp_alloc */
PyType_GenericNew, /* tp_new */
PyObject_GC_Del, /* tp_free */
};
您可以在某些時候在super_init
中看到檢查type == NULL
,然后它會引發您看到的錯誤。 周圍有NULL
是不正常的,因此super
中的某個地方可能存在錯誤(請注意super
在以前的版本中已經有錯誤)。 至少我認為引發SystemError
的情況應該僅由於解釋器或其他一些 C 代碼的某些“內部”故障而不是 python 代碼而觸發。
此外,這不僅發生在您身上,您還可以找到一篇將此行為視為錯誤的帖子。
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