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bpo-39573: Porting to Python 3.10: Py_SET_SIZE() macro #20610
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@@ -135,17 +135,35 @@ Porting to Python 3.10 | |
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| * Since :c:func:`Py_TYPE()` is changed to the inline static function, | ||
| ``Py_TYPE(obj) = new_type`` must be replaced with ``Py_SET_TYPE(obj, new_type)``: | ||
| see :c:func:`Py_SET_TYPE()` (available since Python 3.9). | ||
| see :c:func:`Py_SET_TYPE()` (available since Python 3.9). For backward | ||
| compatibility, this macro can be used:: | ||
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| #if PY_VERSION_HEX < 0x030900A4 | ||
| # define Py_SET_TYPE(obj, type) do { Py_TYPE(obj) = (type); } while (0) | ||
| #endif | ||
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| (Contributed by Dong-hee Na in :issue:`39573`.) | ||
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| * Since :c:func:`Py_REFCNT()` is changed to the inline static function, | ||
| ``Py_REFCNT(obj) = new_refcnt`` must be replaced with ``Py_SET_REFCNT(obj, new_refcnt)``: | ||
| see :c:func:`Py_SET_REFCNT()` (available since Python 3.9). | ||
| see :c:func:`Py_SET_REFCNT()` (available since Python 3.9). For backward | ||
| compatibility, this macro can be used:: | ||
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| #if PY_VERSION_HEX < 0x030900A4 | ||
| # define Py_SET_REFCNT(obj, refcnt) do { Py_REFCNT(obj) = (refcnt); } while (0) | ||
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Member
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There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. @tacaswell: In one of your PR, you wrote "typ" instead of "type". Was it a deliberate typo? Is there an issue in C++? Should I rename the variable to "new_type"?
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There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Oops, my question is on the second parameter of Py_SET_TYPE() :-)
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Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I built Py_SET_TYPE() macro with g++ and Python 3.8: I don't have any warning or error. "type" sounds like a valid parameter type.
Contributor
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I am not sure, that code come from @eric-wieser via numpy/numpy#16417 (comment) |
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| #endif | ||
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| (Contributed by Victor Stinner in :issue:`39573`.) | ||
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| * Since :c:func:`Py_SIZE()` is changed to the inline static function, | ||
| ``Py_SIZE(obj) = new_size`` must be replaced with ``Py_SET_SIZE(obj, new_size)``: | ||
| see :c:func:`Py_SET_SIZE()` (available since Python 3.9). | ||
| see :c:func:`Py_SET_SIZE()` (available since Python 3.9). For backward | ||
| compatibility, this macro can be used:: | ||
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| #if PY_VERSION_HEX < 0x030900A4 | ||
| # define Py_SET_SIZE(obj, size) do { Py_SIZE(obj) = (size); } while (0) | ||
| #endif | ||
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| (Contributed by Victor Stinner in :issue:`39573`.) | ||
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| * Calling :c:func:`PyDict_GetItem` without :term:`GIL` held had been allowed | ||
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This macro doesn't behave the same way as the function in 3.9. I think a more accurate macro would be:
which can be used as part of an expression like the function version of
Py_SET_TYPEcan:is legal in 3.9 and with my macro, but illegal with this PR.
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Oh wow, the C language is so surprising sometimes :-) I designed Py_SET_SIZE() as a static inline function to ensure that the result is void and to prevent strange usage. But I didn't know that
return Py_SET_TYPE(my_obj, some_type), (...);was legit.I updated macros to use
, (void)0. According to https://stackoverflow.com/a/25021889 this syntax is endorsed by the C standard, since NDEBUG uses#define assert(ignore) ((void)0).Uh oh!
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Thanks for finding some precedent. I've seen "always use parens and
do { } while(0);" given as macro advice forever, but I don't remember ever seeing this case before.There was a problem hiding this comment.
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In the meanwhile, I created the backport compatiblity header file :-) It defines a static inline function which returns void:
https://github.com/pythoncapi/pythoncapi_compat/blob/219cdd858595fb5d478117b0ef4758fedc3d2365/pythoncapi_compat.h#L29
Maybe tomorrow when it will be more mature (than 1 hour old), numpy might want to use it.