Issue #4176: Pickle would crash the interpreter when a __reduce__ function
does not return an iterator for the 4th and 5th items. (sequence-like and mapping-like state) A list is not an iterator... Will backport to 2.6 and 2.5.
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@ -849,6 +849,29 @@ class AbstractPickleTests(unittest.TestCase):
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y = self.loads(s)
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self.assertEqual(y._reduce_called, 1)
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def test_reduce_bad_iterator(self):
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# Issue4176: crash when 4th and 5th items of __reduce__()
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# are not iterators
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class C(object):
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def __reduce__(self):
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# 4th item is not an iterator
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return list, (), None, [], None
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class D(object):
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def __reduce__(self):
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# 5th item is not an iterator
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return dict, (), None, None, []
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# Protocol 0 is less strict and also accept iterables.
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for proto in 0, 1, 2:
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try:
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self.dumps(C(), proto)
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except (AttributeError, pickle.PickleError, cPickle.PickleError):
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pass
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try:
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self.dumps(D(), proto)
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except (AttributeError, pickle.PickleError, cPickle.PickleError):
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pass
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# Test classes for reduce_ex
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class REX_one(object):
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@ -12,6 +12,9 @@ What's New in Python 2.7 alpha 1
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Core and Builtins
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-----------------
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- Issue #4176: Fixed a crash when pickling an object which ``__reduce__``
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method does not return iterators for the 4th and 5th items.
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- Issue #4209: Enabling unicode_literals and the print_function in the same
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__future__ import didn't work.
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@ -2206,13 +2206,14 @@ save_pers(Picklerobject *self, PyObject *args, PyObject *f)
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* appropriate __reduce__ method for ob.
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*/
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static int
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save_reduce(Picklerobject *self, PyObject *args, PyObject *ob)
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save_reduce(Picklerobject *self, PyObject *args, PyObject *fn, PyObject *ob)
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{
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PyObject *callable;
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PyObject *argtup;
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PyObject *state = NULL;
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PyObject *listitems = NULL;
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PyObject *dictitems = NULL;
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PyObject *listitems = Py_None;
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PyObject *dictitems = Py_None;
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Py_ssize_t size;
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int use_newobj = self->proto >= 2;
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@ -2220,6 +2221,14 @@ save_reduce(Picklerobject *self, PyObject *args, PyObject *ob)
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static char build = BUILD;
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static char newobj = NEWOBJ;
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size = PyTuple_Size(args);
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if (size < 2 || size > 5) {
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cPickle_ErrFormat(PicklingError, "tuple returned by "
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"%s must contain 2 through 5 elements",
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"O", fn);
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return -1;
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}
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if (! PyArg_UnpackTuple(args, "save_reduce", 2, 5,
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&callable,
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&argtup,
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@ -2229,17 +2238,32 @@ save_reduce(Picklerobject *self, PyObject *args, PyObject *ob)
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return -1;
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if (!PyTuple_Check(argtup)) {
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PyErr_SetString(PicklingError,
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"args from reduce() should be a tuple");
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cPickle_ErrFormat(PicklingError, "Second element of "
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"tuple returned by %s must be a tuple",
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"O", fn);
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return -1;
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}
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if (state == Py_None)
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state = NULL;
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if (listitems == Py_None)
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listitems = NULL;
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else if (!PyIter_Check(listitems)) {
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cPickle_ErrFormat(PicklingError, "Fourth element of "
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"tuple returned by %s must be an iterator, not %s",
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"Os", fn, Py_TYPE(listitems)->tp_name);
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return -1;
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}
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if (dictitems == Py_None)
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dictitems = NULL;
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else if (!PyIter_Check(dictitems)) {
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cPickle_ErrFormat(PicklingError, "Fifth element of "
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"tuple returned by %s must be an iterator, not %s",
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"Os", fn, Py_TYPE(dictitems)->tp_name);
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return -1;
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}
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/* Protocol 2 special case: if callable's name is __newobj__, use
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* NEWOBJ. This consumes a lot of code.
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@ -2363,9 +2387,8 @@ save(Picklerobject *self, PyObject *args, int pers_save)
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{
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PyTypeObject *type;
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PyObject *py_ob_id = 0, *__reduce__ = 0, *t = 0;
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PyObject *arg_tup;
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int res = -1;
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int tmp, size;
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int tmp;
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if (Py_EnterRecursiveCall(" while pickling an object"))
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return -1;
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@ -2598,23 +2621,7 @@ save(Picklerobject *self, PyObject *args, int pers_save)
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goto finally;
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}
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size = PyTuple_Size(t);
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if (size < 2 || size > 5) {
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cPickle_ErrFormat(PicklingError, "tuple returned by "
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"%s must contain 2 through 5 elements",
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"O", __reduce__);
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goto finally;
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}
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arg_tup = PyTuple_GET_ITEM(t, 1);
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if (!(PyTuple_Check(arg_tup) || arg_tup == Py_None)) {
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cPickle_ErrFormat(PicklingError, "Second element of "
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"tuple returned by %s must be a tuple",
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"O", __reduce__);
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goto finally;
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}
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res = save_reduce(self, t, args);
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res = save_reduce(self, t, __reduce__, args);
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finally:
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Py_LeaveRecursiveCall();
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