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 _______________________________________________ Python-Dev mailing list Python-Dev@python.org https://mail.python.org/mailman/listinfo/python-dev Unsubscribe: https://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com