Woj*_*ilo 14 python metaprogramming super python-3.x python-internals
我想知道Python 3中的新超级是如何实现的.
在我做了一个小例子之后,这个问题就出现在了我脑海中,我得到了一个奇怪的错误.我正在使用Pyutilib组件架构(PCA),我已经制作了自定义元类来驱动另一个类的创建:
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()
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我收到以下错误:
super().__init__() SystemError: super(): empty __class__ cell
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我很奇怪究竟什么是super(),它会引发错误super().__init__(),而所有的self.__class__,self.__class__.__class__并且PluginMeta.__class__存在.额外的"旧方式" - Pass.__init__(self)正在发挥作用.
jsb*_*eno 16
TL; DR:这"empty __class__ cell"之前,它与它完成时元类试图调用中定义的类的方法(或实例吧)会发生错误__new__,并__init__和被调用的方法使用 super.如果将一个调用写入super()类体外部定义的函数中,并尝试将此方法添加到现有类并使用它,也会发生错误.(更新:此行为已在Python 3.6中修复)
Python 3 super对"magic" __class__[*]名称进行隐式引用,该名称在每个类方法的命名空间中表现为单元格变量.
这个变量是在类创建机制结束时自动创建的 - 也就是说,只要Python中有一个类主体,__new__并且__init__运行了元类,当__init__完成时,__class__ 就会填充单元格并使其可用于类的方法.
这里发生的是,在PluginMeta初始化代码中可能(我没有查看所有代码)__init__,在元类结束之前调用类__init__- 因为这个元类的一个点是处理单例 - 什么是可能发生的是,元类机制正在实例化单实例并__instance__在从元类返回之前进行填充__init__.此时__class__,super使用的隐式不存在.
因此,通过硬编码名称引用超类,就像super在Python2 之前必须做的那样,这将是有效的 - 并且是实现您想要的最佳方式.
*- 这不是self.__class__实例的属性,它是__class__方法中实际可用的变量:
class A:
def a(self):
print ("Instance's class: {}, "
"actual class where this line is coded: {}".format(
self.__class__, __class__))
class B(A):
pass
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运行这个我们有:
>>> B().a()
Instance's class: <class '__main__.B'>, actual class where this line is coded: <class '__main__.A'>
>>>
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从Python数据模型中:
__class__是由编译器创建如果在类身体的任何方法指任一个隐式的闭合参考__class__或super.这允许零参数形式super()正确地识别基于词法作用域定义的类,而用于进行当前调用的类或实例基于传递给该方法的第一个参数来识别.
有关详细信息,请查看PEP 3135
如何super()实施?这是python3.3的代码:
/* 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 */
};
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您可以super_init在某个时刻看到有检查type == NULL,然后它会引发您看到的错误.有NULLs,这是不正常的,所以可能在某处有一个错误super(并注意super在以前的版本中已经有错误).至少我认为SystemError引发的情况应该仅由于解释器或其他一些C代码的某些"内部"故障而不是python代码而触发.
此外,这不仅仅发生在你身上,你可以找到一个帖子,其中这种行为被认为是一个错误.