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Get rid of __defined__ and tp_defined -- there's no need to
distinguish __dict__ and __defined__ any more. In the C structure, tp_cache takes its place -- but this hasn't been implemented yet.
This commit is contained in:
parent
6642653875
commit
687ae00460
4 changed files with 33 additions and 67 deletions
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@ -288,7 +288,7 @@ typedef struct _typeobject {
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inquiry tp_is_gc; /* For PyObject_IS_GC */
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PyObject *tp_bases;
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PyObject *tp_mro; /* method resolution order */
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PyObject *tp_defined;
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PyObject *tp_cache;
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PyObject *tp_subclasses;
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PyObject *tp_weaklist;
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@ -200,24 +200,9 @@ def classify_class_attrs(cls):
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obj = getattr(cls, name)
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# Figure out where it was defined.
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# A complication: static classes in 2.2 copy dict entries from
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# bases into derived classes, so it's not enough just to look for
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# "the first" class with the name in its dict. OTOH:
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# 1. Some-- but not all --methods in 2.2 come with an __objclass__
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# attr that answers the question directly.
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# 2. Some-- but not all --classes in 2.2 have a __defined__ dict
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# saying which names were defined by the class.
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homecls = getattr(obj, "__objclass__", None)
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if homecls is None:
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# Try __defined__.
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for base in mro:
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if hasattr(base, "__defined__"):
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if name in base.__defined__:
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homecls = base
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break
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if homecls is None:
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# Last chance (and first chance for classic classes): search
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# the dicts.
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# search the dicts.
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for base in mro:
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if name in base.__dict__:
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homecls = base
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17
Misc/NEWS
17
Misc/NEWS
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@ -4,15 +4,14 @@ Release date: 28-Sep-2100
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Type/class unification and new-style classes
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- New-style classes are now dynamic by default. Previous, they were
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static (meaning class attributes could not be assigned to) and
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dynamic classes had to be requested by adding __dynamic__ = 1 to the
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body of the class or to the module. Static classes are faster than
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dynamic classes, but dynamic classes are now at most 50% slower than
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static classes; previously, they could be up to 10x slower. (This
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was accomplished by making dynamic classes faster, not by making
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static classes slower. :-) Note that according to one benchmark,
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static classes are about the same speed as classic classes.
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- New-style classes are now always dynamic (except for built-in and
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extension types). There was no longer a performance penalty, and I
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no longer see another reason to keep this baggage around. One relic
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remains: the __dict__ or a new-style class is a read-only proxy.
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You must set the class's attribute to modify. As a consequence, the
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__defined__ attribute of new-style types no longer exists, for lack
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of need: there is once again only one __dict__ (although in the
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future a __cache__ may be resurrected in its place).
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- C.__doc__ now works as expected for new-style classes (in 2.2a4 it
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always returned None, even when there was a class docstring).
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@ -44,7 +44,7 @@ type_module(PyTypeObject *type, void *context)
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(int)(s - type->tp_name));
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if (!(type->tp_flags & Py_TPFLAGS_HEAPTYPE))
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return PyString_FromString("__builtin__");
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mod = PyDict_GetItemString(type->tp_defined, "__module__");
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mod = PyDict_GetItemString(type->tp_dict, "__module__");
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if (mod != NULL && PyString_Check(mod)) {
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Py_INCREF(mod);
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return mod;
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@ -80,21 +80,10 @@ type_dict(PyTypeObject *type, void *context)
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return PyDictProxy_New(type->tp_dict);
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}
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static PyObject *
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type_defined(PyTypeObject *type, void *context)
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{
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if (type->tp_defined == NULL) {
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Py_INCREF(Py_None);
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return Py_None;
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}
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return PyDictProxy_New(type->tp_defined);
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}
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PyGetSetDef type_getsets[] = {
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{"__name__", (getter)type_name, NULL, NULL},
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{"__module__", (getter)type_module, (setter)type_set_module, NULL},
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{"__dict__", (getter)type_dict, NULL, NULL},
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{"__defined__", (getter)type_defined, NULL, NULL},
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{0}
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};
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@ -838,8 +827,8 @@ type_new(PyTypeObject *metatype, PyObject *args, PyObject *kwds)
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Py_INCREF(base);
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type->tp_base = base;
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/* Initialize tp_defined from passed-in dict */
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type->tp_defined = dict = PyDict_Copy(dict);
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/* Initialize tp_dict from passed-in dict */
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type->tp_dict = dict = PyDict_Copy(dict);
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if (dict == NULL) {
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Py_DECREF(type);
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return NULL;
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@ -973,14 +962,14 @@ _PyType_Lookup(PyTypeObject *type, PyObject *name)
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int i, n;
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PyObject *mro, *res, *dict;
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/* Look in tp_defined of types in MRO */
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/* Look in tp_dict of types in MRO */
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mro = type->tp_mro;
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assert(PyTuple_Check(mro));
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n = PyTuple_GET_SIZE(mro);
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for (i = 0; i < n; i++) {
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type = (PyTypeObject *) PyTuple_GET_ITEM(mro, i);
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assert(PyType_Check(type));
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dict = type->tp_defined;
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dict = type->tp_dict;
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assert(dict && PyDict_Check(dict));
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res = PyDict_GetItem(dict, name);
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if (res != NULL)
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@ -1014,7 +1003,7 @@ type_getattro(PyTypeObject *type, PyObject *name)
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(PyObject *)type, (PyObject *)metatype);
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}
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/* Look in tp_defined of this type and its bases */
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/* Look in tp_dict of this type and its bases */
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res = _PyType_Lookup(type, name);
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if (res != NULL) {
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f = res->ob_type->tp_descr_get;
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@ -1070,7 +1059,7 @@ type_dealloc(PyTypeObject *type)
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Py_XDECREF(type->tp_dict);
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Py_XDECREF(type->tp_bases);
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Py_XDECREF(type->tp_mro);
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Py_XDECREF(type->tp_defined);
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Py_XDECREF(type->tp_cache);
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Py_XDECREF(type->tp_subclasses);
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Py_XDECREF(et->name);
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Py_XDECREF(et->slots);
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@ -1136,7 +1125,7 @@ type_traverse(PyTypeObject *type, visitproc visit, void *arg)
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}
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VISIT(type->tp_dict);
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VISIT(type->tp_defined);
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VISIT(type->tp_cache);
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VISIT(type->tp_mro);
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VISIT(type->tp_bases);
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VISIT(type->tp_base);
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@ -1167,7 +1156,7 @@ type_clear(PyTypeObject *type)
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}
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CLEAR(type->tp_dict);
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CLEAR(type->tp_defined);
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CLEAR(type->tp_cache);
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CLEAR(type->tp_mro);
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CLEAR(type->tp_bases);
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CLEAR(type->tp_base);
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@ -1455,7 +1444,7 @@ PyTypeObject PyBaseObject_Type = {
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static int
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add_methods(PyTypeObject *type, PyMethodDef *meth)
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{
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PyObject *dict = type->tp_defined;
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PyObject *dict = type->tp_dict;
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for (; meth->ml_name != NULL; meth++) {
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PyObject *descr;
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@ -1474,7 +1463,7 @@ add_methods(PyTypeObject *type, PyMethodDef *meth)
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static int
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add_members(PyTypeObject *type, PyMemberDef *memb)
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{
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PyObject *dict = type->tp_defined;
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PyObject *dict = type->tp_dict;
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for (; memb->name != NULL; memb++) {
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PyObject *descr;
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@ -1493,7 +1482,7 @@ add_members(PyTypeObject *type, PyMemberDef *memb)
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static int
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add_getset(PyTypeObject *type, PyGetSetDef *gsp)
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{
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PyObject *dict = type->tp_defined;
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PyObject *dict = type->tp_dict;
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for (; gsp->name != NULL; gsp++) {
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PyObject *descr;
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@ -1746,7 +1735,6 @@ PyType_Ready(PyTypeObject *type)
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return 0;
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}
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assert((type->tp_flags & Py_TPFLAGS_READYING) == 0);
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assert(type->tp_dict == NULL);
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type->tp_flags |= Py_TPFLAGS_READYING;
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@ -1773,16 +1761,16 @@ PyType_Ready(PyTypeObject *type)
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goto error;
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}
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/* Initialize tp_defined */
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dict = type->tp_defined;
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/* Initialize tp_dict */
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dict = type->tp_dict;
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if (dict == NULL) {
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dict = PyDict_New();
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if (dict == NULL)
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goto error;
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type->tp_defined = dict;
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type->tp_dict = dict;
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}
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/* Add type-specific descriptors to tp_defined */
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/* Add type-specific descriptors to tp_dict */
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if (add_operators(type) < 0)
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goto error;
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if (type->tp_methods != NULL) {
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goto error;
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}
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/* Temporarily make tp_dict the same object as tp_defined.
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(This is needed to call mro(), and can stay this way for
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dynamic types). */
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Py_INCREF(type->tp_defined);
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type->tp_dict = type->tp_defined;
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/* Calculate method resolution order */
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if (mro_internal(type) < 0) {
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goto error;
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@ -2676,18 +2658,18 @@ add_tp_new_wrapper(PyTypeObject *type)
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{
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PyObject *func;
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if (PyDict_GetItemString(type->tp_defined, "__new__") != NULL)
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if (PyDict_GetItemString(type->tp_dict, "__new__") != NULL)
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return 0;
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func = PyCFunction_New(tp_new_methoddef, (PyObject *)type);
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if (func == NULL)
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return -1;
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return PyDict_SetItemString(type->tp_defined, "__new__", func);
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return PyDict_SetItemString(type->tp_dict, "__new__", func);
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}
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static int
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add_wrappers(PyTypeObject *type, struct wrapperbase *wraps, void *wrapped)
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{
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PyObject *dict = type->tp_defined;
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PyObject *dict = type->tp_dict;
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for (; wraps->name != NULL; wraps++) {
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PyObject *descr;
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@ -2706,14 +2688,14 @@ add_wrappers(PyTypeObject *type, struct wrapperbase *wraps, void *wrapped)
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/* This function is called by PyType_Ready() to populate the type's
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dictionary with method descriptors for function slots. For each
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function slot (like tp_repr) that's defined in the type, one or
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more corresponding descriptors are added in the type's tp_defined
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more corresponding descriptors are added in the type's tp_dict
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dictionary under the appropriate name (like __repr__). Some
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function slots cause more than one descriptor to be added (for
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example, the nb_add slot adds both __add__ and __radd__
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descriptors) and some function slots compete for the same
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descriptor (for example both sq_item and mp_subscript generate a
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__getitem__ descriptor). This only adds new descriptors and
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doesn't overwrite entries in tp_defined that were previously
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doesn't overwrite entries in tp_dict that were previously
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defined. The descriptors contain a reference to the C function
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they must call, so that it's safe if they are copied into a
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subtype's __dict__ and the subtype has a different C function in
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base = (PyTypeObject *)PyTuple_GET_ITEM(mro, i);
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assert(PyType_Check(base));
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descr = PyDict_GetItem(
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base->tp_defined, p->name_strobj);
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base->tp_dict, p->name_strobj);
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if (descr != NULL)
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break;
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}
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tmp = PyTuple_GET_ITEM(mro, i);
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assert(PyType_Check(tmp));
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res = PyDict_GetItem(
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((PyTypeObject *)tmp)->tp_defined, name);
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((PyTypeObject *)tmp)->tp_dict, name);
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if (res != NULL) {
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Py_INCREF(res);
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f = res->ob_type->tp_descr_get;
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