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Issue #11675: Zero-out newly-created multiprocessing.[Raw]Array objects.
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@ -80,7 +80,9 @@ def RawArray(typecode_or_type, size_or_initializer):
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type_ = typecode_to_type.get(typecode_or_type, typecode_or_type)
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if isinstance(size_or_initializer, int):
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type_ = type_ * size_or_initializer
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return _new_value(type_)
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obj = _new_value(type_)
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ctypes.memset(ctypes.addressof(obj), 0, ctypes.sizeof(obj))
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return obj
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else:
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type_ = type_ * len(size_or_initializer)
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result = _new_value(type_)
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@ -913,6 +913,21 @@ class _TestArray(BaseTestCase):
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self.assertEqual(list(arr[:]), seq)
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@unittest.skipIf(c_int is None, "requires _ctypes")
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def test_array_from_size(self):
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size = 10
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# Test for zeroing (see issue #11675).
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# The repetition below strengthens the test by increasing the chances
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# of previously allocated non-zero memory being used for the new array
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# on the 2nd and 3rd loops.
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for _ in range(3):
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arr = self.Array('i', size)
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self.assertEqual(len(arr), size)
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self.assertEqual(list(arr), [0] * size)
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arr[:] = range(10)
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self.assertEqual(list(arr), list(range(10)))
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del arr
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@unittest.skipIf(c_int is None, "requires _ctypes")
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def test_rawarray(self):
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self.test_array(raw=True)
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@ -10,6 +10,10 @@ What's New in Python 3.1.4?
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Core and Builtins
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-----------------
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- Issue #11675: multiprocessing.[Raw]Array objects created from an integer size
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are now zeroed on creation. This matches the behaviour specified by the
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documentation.
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- Issue #8651: PyArg_Parse*() functions raise an OverflowError if the file
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doesn't have PY_SSIZE_T_CLEAN define and the size doesn't fit in an int
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(length bigger than 2^31-1 bytes).
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