mirror of https://github.com/python/cpython
Issue #24912: Prevent __class__ assignment to immutable built-in objects. (Merge 3.5 -> 3.6)
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@ -1036,6 +1036,51 @@ order (MRO) for bases """
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self.assertTrue(m.__class__ is types.ModuleType)
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self.assertTrue(m.__class__ is types.ModuleType)
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self.assertFalse(hasattr(m, "a"))
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self.assertFalse(hasattr(m, "a"))
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# Make sure that builtin immutable objects don't support __class__
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# assignment, because the object instances may be interned.
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# We set __slots__ = () to ensure that the subclasses are
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# memory-layout compatible, and thus otherwise reasonable candidates
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# for __class__ assignment.
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# The following types have immutable instances, but are not
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# subclassable and thus don't need to be checked:
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# NoneType, bool
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class MyInt(int):
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__slots__ = ()
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with self.assertRaises(TypeError):
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(1).__class__ = MyInt
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class MyFloat(float):
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__slots__ = ()
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with self.assertRaises(TypeError):
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(1.0).__class__ = MyFloat
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class MyComplex(complex):
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__slots__ = ()
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with self.assertRaises(TypeError):
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(1 + 2j).__class__ = MyComplex
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class MyStr(str):
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__slots__ = ()
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with self.assertRaises(TypeError):
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"a".__class__ = MyStr
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class MyBytes(bytes):
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__slots__ = ()
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with self.assertRaises(TypeError):
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b"a".__class__ = MyBytes
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class MyTuple(tuple):
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__slots__ = ()
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with self.assertRaises(TypeError):
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().__class__ = MyTuple
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class MyFrozenSet(frozenset):
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__slots__ = ()
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with self.assertRaises(TypeError):
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frozenset().__class__ = MyFrozenSet
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def test_slots(self):
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def test_slots(self):
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# Testing __slots__...
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# Testing __slots__...
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class C0(object):
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class C0(object):
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@ -169,6 +169,8 @@ Release date: 2015-09-06
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Core and Builtins
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Core and Builtins
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-----------------
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-----------------
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- Issue #24912: Prevent __class__ assignment to immutable built-in objects.
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- Issue #24975: Fix AST compilation for PEP 448 syntax.
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- Issue #24975: Fix AST compilation for PEP 448 syntax.
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Library
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Library
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@ -3674,6 +3674,65 @@ object_set_class(PyObject *self, PyObject *value, void *closure)
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return -1;
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return -1;
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}
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}
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newto = (PyTypeObject *)value;
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newto = (PyTypeObject *)value;
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/* In versions of CPython prior to 3.5, the code in
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compatible_for_assignment was not set up to correctly check for memory
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layout / slot / etc. compatibility for non-HEAPTYPE classes, so we just
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disallowed __class__ assignment in any case that wasn't HEAPTYPE ->
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HEAPTYPE.
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During the 3.5 development cycle, we fixed the code in
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compatible_for_assignment to correctly check compatibility between
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arbitrary types, and started allowing __class__ assignment in all cases
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where the old and new types did in fact have compatible slots and
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memory layout (regardless of whether they were implemented as HEAPTYPEs
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or not).
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Just before 3.5 was released, though, we discovered that this led to
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problems with immutable types like int, where the interpreter assumes
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they are immutable and interns some values. Formerly this wasn't a
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problem, because they really were immutable -- in particular, all the
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types where the interpreter applied this interning trick happened to
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also be statically allocated, so the old HEAPTYPE rules were
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"accidentally" stopping them from allowing __class__ assignment. But
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with the changes to __class__ assignment, we started allowing code like
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class MyInt(int):
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...
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# Modifies the type of *all* instances of 1 in the whole program,
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# including future instances (!), because the 1 object is interned.
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(1).__class__ = MyInt
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(see https://bugs.python.org/issue24912).
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In theory the proper fix would be to identify which classes rely on
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this invariant and somehow disallow __class__ assignment only for them,
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perhaps via some mechanism like a new Py_TPFLAGS_IMMUTABLE flag (a
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"blacklisting" approach). But in practice, since this problem wasn't
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noticed late in the 3.5 RC cycle, we're taking the conservative
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approach and reinstating the same HEAPTYPE->HEAPTYPE check that we used
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to have, plus a "whitelist". For now, the whitelist consists only of
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ModuleType subtypes, since those are the cases that motivated the patch
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in the first place -- see https://bugs.python.org/issue22986 -- and
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since module objects are mutable we can be sure that they are
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definitely not being interned. So now we allow HEAPTYPE->HEAPTYPE *or*
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ModuleType subtype -> ModuleType subtype.
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So far as we know, all the code beyond the following 'if' statement
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will correctly handle non-HEAPTYPE classes, and the HEAPTYPE check is
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needed only to protect that subset of non-HEAPTYPE classes for which
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the interpreter has baked in the assumption that all instances are
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truly immutable.
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*/
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if (!(PyType_IsSubtype(newto, &PyModule_Type) &&
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PyType_IsSubtype(oldto, &PyModule_Type)) &&
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(!(newto->tp_flags & Py_TPFLAGS_HEAPTYPE) ||
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!(oldto->tp_flags & Py_TPFLAGS_HEAPTYPE))) {
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PyErr_Format(PyExc_TypeError,
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"__class__ assignment only supported for heap types "
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"or ModuleType subclasses");
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return -1;
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}
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if (compatible_for_assignment(oldto, newto, "__class__")) {
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if (compatible_for_assignment(oldto, newto, "__class__")) {
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if (newto->tp_flags & Py_TPFLAGS_HEAPTYPE)
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if (newto->tp_flags & Py_TPFLAGS_HEAPTYPE)
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Py_INCREF(newto);
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Py_INCREF(newto);
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