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Tue Dec 26 09:00:55 EST 2017 · https://mail.python.org/pipermail/python-dev/2017-December/151456.html

I imagine Cython already takes care of this?

On Tue, Dec 26, 2017, at 02:16, Hugh Fisher wrote:
> I have a Python program which generates the boilerplate code for
> native extension modules from a Python source definition.
> (http://bitbucket.org/hugh_fisher/fullofeels if interested.)
>
> The examples in the Python doco and the "Python Essential Reference"
> book all use a statically declared PyTypeObject struct and
> PyType_Ready in the module init func, so I'm doing the same. Then
> Python 3.5 added a check for statically allocated types inheriting
> from heap types, which broke a couple of my classes. And now I'm
> trying to add a __dict__ to native classes so end users can add their> own attributes, and this is turning out to be painful with static
> PyTypeObject structs
>
> Would it be better to use dynamically allocated type structs in native
> modules?>
> --
>
>         cheers,
>         Hugh Fisher
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[Python-Dev] Heap allocate type structs in native extension modules?