On 30. 03. 22 17:42, Guido van Rossum wrote:
In the not so distant past I have proposed to introduce a new category,
"Unstable APIs". These are public but are not guaranteed to be backwards
compatible in feature releases (though I feel they should remain so in
bugfix releases).
I'm not sure whether those should have a leading underscore or not.
Perhaps (like some other languages do and like maybe we've used in a few
places) the name could just include the word "Unstable"?
IMO, the underscore should mark an API as internal: it can change at any
time (though in practice it often doesn't, e.g. to accommodate projects
that used it before a policy is written down).
This is useful e.g. for macros/static functions that wrap access to
something private, where the definition needs to be available but marked
"keep off".
On Wed, Mar 30, 2022 at 8:08 AM Victor Stinner <vstin...@python.org
<mailto:vstin...@python.org>> wrote:
The internal C API can be used on purpose. But there is no backward
compatibility warranty and it can change anytime. In practice, usually
it only changes in 3.x.0 releases. For example, these private C API
changed in Python 3.9 and Python 3.11 (see my first email in the other
PEP 523 thread).
To use the internal C API, you have to declare the Py_BUILD_CORE macro
and include an internal C API header file. For
_PyInterpreterState_SetEvalFrameFunc(), it should be:
#ifndef Py_BUILD_CORE_MODULE
# define Py_BUILD_CORE_MODULE
#endif
#include <Python.h>
#include <internal/pycore_interp.h> //
_PyInterpreterState_SetEvalFrameFunc()
#include <internal/pycore_ceval.h> // _PyEval_EvalFrameDefault
Victor
On Tue, Mar 29, 2022 at 12:26 AM Jason Ansel via Python-Dev
<python-dev@python.org <mailto:python-dev@python.org>> wrote:
>
> The PyTorch team plans to use PEP 523 as a part of PyTorch 2.0,
so this proposal may break the next major release of PyTorch.
>
> The related project is TorchDynamo, which can be found here:
> https://github.com/facebookresearch/torchdynamo
<https://github.com/facebookresearch/torchdynamo>
>
> We will likely move this into the core of PyTorch closer to release.
>
> If the changed happens, would PyTorch still be able to use the
eval frame API? Or would it prevent from being used entirely?
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