Serhiy Storchaka storchaka at gmail.com
Fri Dec 29 04:25:14 EST 2017

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26.12.17 12:16, Hugh Fisher пише:
> 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?

Yes, you can create heap types by using PyType_FromSpecWithBases().

But be aware of caveats (https://bugs.python.org/issue26979).

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