[Python-Dev] ctypes: is it intentional that id() is the only way to get the address of an object?
I've heard that libraries using ctypes, cffi, or cython code of various
sorts in the real world wild today does abuse the unfortunate side effect
of CPython's implementation of id(). I don't have specific instances of
this in mind but trust what I've heard: that it is happening.
id() should never be considered to be the PyObject*. In as much as code
shouldn't assume it is running on top of a specific CPython implementation.
If there is a _need_ to get a pointer to a C struct handle referencing a
CPython C API PyObject, we should make an explicit API for that rather than
the id() hack. That way code can be explicit about its need, and code that
is just doing a funky form of identity tracking without using is and is not
can continue using id() without triggering regressive behavior on VMs that
don't have a CPython compatible PyObject under the hood by default.
[who uses id() anyways?]
On Thu, Jan 17, 2019 at 2:26 AM Steven D'Aprano <steve at pearwood.info> wrote:
> Disclaimer: I'm not a ctypes expert, so I might have this completely
> wrong. If so, I apologise for the noise.
> The id() function is documented as returning an abstract ID number. In
> CPython, that happens to have been implemented as the address of the
> I understand that the only way to pass the address of an object to
> ctypes is to use that id. Is that intentional?
> As I see it, there is a conflict between two facts:
> - that id() returns a memory address is an implementation detail; as
> such users should not rely on it, as the implementation could (in
> principle) change without notice;
> - but users using ctypes have no choice but to rely on id() returning
> the object memory address, as of it were an offical part of the API.
> Implementations like PyPy which emulate ctypes, while objects don't have
> fixed memory locations, will surely have a problem here. I don't know
> how PyPy solves this.
> Have I misunderstood something here?
> Python-Dev mailing list
> Python-Dev at python.org
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