A RetroSearch Logo

Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Search Query:

Showing content from https://mail.python.org/pipermail/python-dev/2017-December/151486.html below:

[Python-Dev] Heap allocate type structs in native extension modules?

[Python-Dev] Heap allocate type structs in native extension modules? [Python-Dev] Heap allocate type structs in native extension modules?Serhiy Storchaka storchaka at gmail.com
Fri Dec 29 04:25:14 EST 2017
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).

More information about the Python-Dev mailing list

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4