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-rw-r--r--Lib/multiprocessing/sharedctypes.py4
-rw-r--r--Lib/test/test_multiprocessing.py15
-rw-r--r--Misc/NEWS4
3 files changed, 22 insertions, 1 deletions
diff --git a/Lib/multiprocessing/sharedctypes.py b/Lib/multiprocessing/sharedctypes.py
index e83ce58..1e694da 100644
--- a/Lib/multiprocessing/sharedctypes.py
+++ b/Lib/multiprocessing/sharedctypes.py
@@ -80,7 +80,9 @@ def RawArray(typecode_or_type, size_or_initializer):
type_ = typecode_to_type.get(typecode_or_type, typecode_or_type)
if isinstance(size_or_initializer, int):
type_ = type_ * size_or_initializer
- return _new_value(type_)
+ obj = _new_value(type_)
+ ctypes.memset(ctypes.addressof(obj), 0, ctypes.sizeof(obj))
+ return obj
else:
type_ = type_ * len(size_or_initializer)
result = _new_value(type_)
diff --git a/Lib/test/test_multiprocessing.py b/Lib/test/test_multiprocessing.py
index f4031de..1136ab2 100644
--- a/Lib/test/test_multiprocessing.py
+++ b/Lib/test/test_multiprocessing.py
@@ -914,6 +914,21 @@ class _TestArray(BaseTestCase):
self.assertEqual(list(arr[:]), seq)
@unittest.skipIf(c_int is None, "requires _ctypes")
+ def test_array_from_size(self):
+ size = 10
+ # Test for zeroing (see issue #11675).
+ # The repetition below strengthens the test by increasing the chances
+ # of previously allocated non-zero memory being used for the new array
+ # on the 2nd and 3rd loops.
+ for _ in range(3):
+ arr = self.Array('i', size)
+ self.assertEqual(len(arr), size)
+ self.assertEqual(list(arr), [0] * size)
+ arr[:] = range(10)
+ self.assertEqual(list(arr), list(range(10)))
+ del arr
+
+ @unittest.skipIf(c_int is None, "requires _ctypes")
def test_rawarray(self):
self.test_array(raw=True)
diff --git a/Misc/NEWS b/Misc/NEWS
index fca77ef..6825931 100644
--- a/Misc/NEWS
+++ b/Misc/NEWS
@@ -10,6 +10,10 @@ What's New in Python 3.1.4?
Core and Builtins
-----------------
+- Issue #11675: multiprocessing.[Raw]Array objects created from an integer size
+ are now zeroed on creation. This matches the behaviour specified by the
+ documentation.
+
- Issue #8651: PyArg_Parse*() functions raise an OverflowError if the file
doesn't have PY_SSIZE_T_CLEAN define and the size doesn't fit in an int
(length bigger than 2^31-1 bytes).