[Cython] CEP 1001 - Custom PyTypeObject extensions
Dag Sverre Seljebotn
d.s.seljebotn at astro.uio.no
Sun May 13 21:37:22 CEST 2012
On 05/13/2012 09:35 PM, Dag Sverre Seljebotn wrote:
> On 05/12/2012 08:44 PM, Nathaniel Smith wrote:
>> On Fri, May 11, 2012 at 2:25 PM, Dag Sverre Seljebotn
>> <d.s.seljebotn at astro.uio.no> wrote:
>>> This comes from a refactor of the work on CEP 1000: A PEP proposal,
>>> with a
>>> hack for use in current Python versions and in the case of PEP
>>> that allows 3rd party libraries to agree on extensions to PyTypeObject.
>>> If this makes it as a PEP, I don't think we need to think about
>>> having CEP
>>> 1000 accepted as a PEP.
>> There should probably be some discussion of memory management for the
>> tpe_data pointers. (I assume it's "guaranteed to be valid for as long
>> as the associated PyTypeObject, and the PyTypeObject is responsible
>> for making sure any necessary cleanup happens if it gets deallocated",
>> but a note to this effect would be good.)
>> What happens if I want to inherit from PyTypeObject (a "metaclass")
>> and also implement this interface? It is possible? What if I want to
>> inherit from an existing subclass of PyTypeObject and add on this
>> interface? I don't know enough gnarly details about how new style
>> classes are implemented to tell. Would it make sense to make this
>> memory-layout-equivalent to a PyTypeObject subclass with extra fields?
> Hmm. You know what -- this whole thing could probably be a metaclass.
> Except I think a PyObject_TypeCheck on the type would be a bit more
> expensive than just checking a flag. I think I like having a flag better...
> The point of supporting objects with a metaclass is a good one. I don't
> know enough details either. I wonder if ob_size field could save us;
> basically access extra information at offset
> (ob_size != 0) ? ob_size : sizeof(PyTypeObject);
Ehrm, presumably the size information must include the size of the extra
payload, so this computation must be a bit different...
Anyway, thanks for the heads up, this seems to need a bit more work.
Input from somebody more familiar with this corner of the CPython API
> I think that also flags that the type object is allocated on heap? But
> at least it allows a way out of you want to use a metaclass (allocate it
> on the heap; or perhaps give it a very high refcount).
> But I didn't check this in detail yet.
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