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author | Guido van Rossum <guido@dropbox.com> | 2015-09-05 03:54:07 (GMT) |
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committer | Guido van Rossum <guido@dropbox.com> | 2015-09-05 03:54:07 (GMT) |
commit | 7d293ee97dbe27e2b6a43f900cf988572108c18e (patch) | |
tree | 99fb70d44ddf1d18cdadfa56a39995e4f906b4d0 | |
parent | 1b6691053701e92490c6b68171d6d6a645f8e708 (diff) | |
download | cpython-7d293ee97dbe27e2b6a43f900cf988572108c18e.zip cpython-7d293ee97dbe27e2b6a43f900cf988572108c18e.tar.gz cpython-7d293ee97dbe27e2b6a43f900cf988572108c18e.tar.bz2 |
Issue #24912: Prevent __class__ assignment to immutable built-in objects.
-rw-r--r-- | Lib/test/test_descr.py | 45 | ||||
-rw-r--r-- | Misc/NEWS | 2 | ||||
-rw-r--r-- | Objects/typeobject.c | 59 |
3 files changed, 106 insertions, 0 deletions
diff --git a/Lib/test/test_descr.py b/Lib/test/test_descr.py index 0ef1a31..c74ebae 100644 --- a/Lib/test/test_descr.py +++ b/Lib/test/test_descr.py @@ -1036,6 +1036,51 @@ order (MRO) for bases """ self.assertTrue(m.__class__ is types.ModuleType) self.assertFalse(hasattr(m, "a")) + # Make sure that builtin immutable objects don't support __class__ + # assignment, because the object instances may be interned. + # We set __slots__ = () to ensure that the subclasses are + # memory-layout compatible, and thus otherwise reasonable candidates + # for __class__ assignment. + + # The following types have immutable instances, but are not + # subclassable and thus don't need to be checked: + # NoneType, bool + + class MyInt(int): + __slots__ = () + with self.assertRaises(TypeError): + (1).__class__ = MyInt + + class MyFloat(float): + __slots__ = () + with self.assertRaises(TypeError): + (1.0).__class__ = MyFloat + + class MyComplex(complex): + __slots__ = () + with self.assertRaises(TypeError): + (1 + 2j).__class__ = MyComplex + + class MyStr(str): + __slots__ = () + with self.assertRaises(TypeError): + "a".__class__ = MyStr + + class MyBytes(bytes): + __slots__ = () + with self.assertRaises(TypeError): + b"a".__class__ = MyBytes + + class MyTuple(tuple): + __slots__ = () + with self.assertRaises(TypeError): + ().__class__ = MyTuple + + class MyFrozenSet(frozenset): + __slots__ = () + with self.assertRaises(TypeError): + frozenset().__class__ = MyFrozenSet + def test_slots(self): # Testing __slots__... class C0(object): @@ -10,6 +10,8 @@ Release date: 2015-09-06 Core and Builtins ----------------- +- Issue #24912: Prevent __class__ assignment to immutable built-in objects. + - Issue #24975: Fix AST compilation for PEP 448 syntax. Library diff --git a/Objects/typeobject.c b/Objects/typeobject.c index 1beed72..bb83530 100644 --- a/Objects/typeobject.c +++ b/Objects/typeobject.c @@ -3666,6 +3666,65 @@ object_set_class(PyObject *self, PyObject *value, void *closure) return -1; } newto = (PyTypeObject *)value; + /* In versions of CPython prior to 3.5, the code in + compatible_for_assignment was not set up to correctly check for memory + layout / slot / etc. compatibility for non-HEAPTYPE classes, so we just + disallowed __class__ assignment in any case that wasn't HEAPTYPE -> + HEAPTYPE. + + During the 3.5 development cycle, we fixed the code in + compatible_for_assignment to correctly check compatibility between + arbitrary types, and started allowing __class__ assignment in all cases + where the old and new types did in fact have compatible slots and + memory layout (regardless of whether they were implemented as HEAPTYPEs + or not). + + Just before 3.5 was released, though, we discovered that this led to + problems with immutable types like int, where the interpreter assumes + they are immutable and interns some values. Formerly this wasn't a + problem, because they really were immutable -- in particular, all the + types where the interpreter applied this interning trick happened to + also be statically allocated, so the old HEAPTYPE rules were + "accidentally" stopping them from allowing __class__ assignment. But + with the changes to __class__ assignment, we started allowing code like + + class MyInt(int): + ... + # Modifies the type of *all* instances of 1 in the whole program, + # including future instances (!), because the 1 object is interned. + (1).__class__ = MyInt + + (see https://bugs.python.org/issue24912). + + In theory the proper fix would be to identify which classes rely on + this invariant and somehow disallow __class__ assignment only for them, + perhaps via some mechanism like a new Py_TPFLAGS_IMMUTABLE flag (a + "blacklisting" approach). But in practice, since this problem wasn't + noticed late in the 3.5 RC cycle, we're taking the conservative + approach and reinstating the same HEAPTYPE->HEAPTYPE check that we used + to have, plus a "whitelist". For now, the whitelist consists only of + ModuleType subtypes, since those are the cases that motivated the patch + in the first place -- see https://bugs.python.org/issue22986 -- and + since module objects are mutable we can be sure that they are + definitely not being interned. So now we allow HEAPTYPE->HEAPTYPE *or* + ModuleType subtype -> ModuleType subtype. + + So far as we know, all the code beyond the following 'if' statement + will correctly handle non-HEAPTYPE classes, and the HEAPTYPE check is + needed only to protect that subset of non-HEAPTYPE classes for which + the interpreter has baked in the assumption that all instances are + truly immutable. + */ + if (!(PyType_IsSubtype(newto, &PyModule_Type) && + PyType_IsSubtype(oldto, &PyModule_Type)) && + (!(newto->tp_flags & Py_TPFLAGS_HEAPTYPE) || + !(oldto->tp_flags & Py_TPFLAGS_HEAPTYPE))) { + PyErr_Format(PyExc_TypeError, + "__class__ assignment only supported for heap types " + "or ModuleType subclasses"); + return -1; + } + if (compatible_for_assignment(oldto, newto, "__class__")) { if (newto->tp_flags & Py_TPFLAGS_HEAPTYPE) Py_INCREF(newto); |