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)

Backport of r67049.
This commit is contained in:
Amaury Forgeot d'Arc 2008-10-30 21:40:05 +00:00
parent 3e06faec4f
commit 3b335ff340
3 changed files with 59 additions and 26 deletions

View File

@ -849,6 +849,29 @@ class AbstractPickleTests(unittest.TestCase):
y = self.loads(s)
self.assertEqual(y._reduce_called, 1)
def test_reduce_bad_iterator(self):
# Issue4176: crash when 4th and 5th items of __reduce__()
# are not iterators
class C(object):
def __reduce__(self):
# 4th item is not an iterator
return list, (), None, [], None
class D(object):
def __reduce__(self):
# 5th item is not an iterator
return dict, (), None, None, []
# Protocol 0 is less strict and also accept iterables.
for proto in 0, 1, 2:
try:
self.dumps(C(), proto)
except (AttributeError, pickle.PickleError, cPickle.PickleError):
pass
try:
self.dumps(D(), proto)
except (AttributeError, pickle.PickleError, cPickle.PickleError):
pass
# Test classes for reduce_ex
class REX_one(object):

View File

@ -12,6 +12,9 @@ What's New in Python 2.5.3?
Core and builtins
-----------------
- Issue #4176: Fixed a crash when pickling an object which ``__reduce__``
method does not return iterators for the 4th and 5th items.
- Issue #3967: Fixed a crash in the count() and find() methods of string-like
objects, when the "start" parameter is a huge value.

View File

@ -2141,13 +2141,14 @@ save_pers(Picklerobject *self, PyObject *args, PyObject *f)
* appropriate __reduce__ method for ob.
*/
static int
save_reduce(Picklerobject *self, PyObject *args, PyObject *ob)
save_reduce(Picklerobject *self, PyObject *args, PyObject *fn, PyObject *ob)
{
PyObject *callable;
PyObject *argtup;
PyObject *state = NULL;
PyObject *listitems = NULL;
PyObject *dictitems = NULL;
PyObject *state = NULL;
PyObject *listitems = Py_None;
PyObject *dictitems = Py_None;
Py_ssize_t size;
int use_newobj = self->proto >= 2;
@ -2155,6 +2156,14 @@ save_reduce(Picklerobject *self, PyObject *args, PyObject *ob)
static char build = BUILD;
static char newobj = NEWOBJ;
size = PyTuple_Size(args);
if (size < 2 || size > 5) {
cPickle_ErrFormat(PicklingError, "tuple returned by "
"%s must contain 2 through 5 elements",
"O", fn);
return -1;
}
if (! PyArg_UnpackTuple(args, "save_reduce", 2, 5,
&callable,
&argtup,
@ -2164,17 +2173,32 @@ save_reduce(Picklerobject *self, PyObject *args, PyObject *ob)
return -1;
if (!PyTuple_Check(argtup)) {
PyErr_SetString(PicklingError,
"args from reduce() should be a tuple");
cPickle_ErrFormat(PicklingError, "Second element of "
"tuple returned by %s must be a tuple",
"O", fn);
return -1;
}
if (state == Py_None)
state = NULL;
if (listitems == Py_None)
listitems = NULL;
else if (!PyIter_Check(listitems)) {
cPickle_ErrFormat(PicklingError, "Fourth element of "
"tuple returned by %s must be an iterator, not %s",
"Os", fn, listitems->ob_type->tp_name);
return -1;
}
if (dictitems == Py_None)
dictitems = NULL;
else if (!PyIter_Check(dictitems)) {
cPickle_ErrFormat(PicklingError, "Fifth element of "
"tuple returned by %s must be an iterator, not %s",
"Os", fn, dictitems->ob_type->tp_name);
return -1;
}
/* Protocol 2 special case: if callable's name is __newobj__, use
* NEWOBJ. This consumes a lot of code.
@ -2298,9 +2322,8 @@ save(Picklerobject *self, PyObject *args, int pers_save)
{
PyTypeObject *type;
PyObject *py_ob_id = 0, *__reduce__ = 0, *t = 0;
PyObject *arg_tup;
int res = -1;
int tmp, size;
int tmp;
if (self->nesting++ > Py_GetRecursionLimit()){
PyErr_SetString(PyExc_RuntimeError,
@ -2527,30 +2550,14 @@ save(Picklerobject *self, PyObject *args, int pers_save)
goto finally;
}
if (! PyTuple_Check(t)) {
if (!PyTuple_Check(t)) {
cPickle_ErrFormat(PicklingError, "Value returned by "
"%s must be string or tuple",
"O", __reduce__);
goto finally;
}
size = PyTuple_Size(t);
if (size < 2 || size > 5) {
cPickle_ErrFormat(PicklingError, "tuple returned by "
"%s must contain 2 through 5 elements",
"O", __reduce__);
goto finally;
}
arg_tup = PyTuple_GET_ITEM(t, 1);
if (!(PyTuple_Check(arg_tup) || arg_tup == Py_None)) {
cPickle_ErrFormat(PicklingError, "Second element of "
"tuple returned by %s must be a tuple",
"O", __reduce__);
goto finally;
}
res = save_reduce(self, t, args);
res = save_reduce(self, t, __reduce__, args);
finally:
self->nesting--;