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ENH: Python 3.13 free-threading support #59057
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Hi! I'm currently writing a thesis on free-threading python and wonder if there's any estimate on how much time this would take |
Hello! An initial investigation shows that it should be relatively straight-forward to get a passing test suite under the free-threaded build. However, if you're looking for a full release with support for it, it's still probably going to be a few weeks/months, since Python 3.13 is not final (not even in rc) yet. Maybe a maintainer could answer this better than me as well. |
Yeah I'm only in need of a "preliminary" implementation to run some really simple tests involving a dataframe with python 3.13.0b2 with the free threading build. Right now it's not even installing correctly. |
@xbit18 you probably have managed to do it since your last comment but the https://py-free-threading.github.io doc has a lot of useful info in particular:
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I'm trying to get Windows wheels to build successfully as well. It seems like it's an easy task to build them, but not as easy to test them, because Windows wheels are tested on @mroeschke You implemented this in #53087. Is there any way around it? There's this comment in the workflow file. Could you elaborate on it?
The Docker images do not contain a free-threaded build, so it's currently impossible to do this for the free-threaded wheels. Should we enable |
Maybe it's not entirely necessary to test these wheels on a separate Docker image anymore and just use the windows images from the GHA runner if that makes this easier |
FWIW @lesteve just let me know over in a scikit-learn issue that scikit-learn is going to need the docker images as well. |
hi, How long until Python 3.13's free-threading support is complete? |
This aims to be a tracking issue for all work necessary to support the free-threaded build of Python 3.13. A very high-level list of steps is (more details to follow as I investigate more issues):
pandas_datetime
is thread-safepandas_parser
is not thread-safe, but cannot be used in multiple threads from withinpandas
Python code.Py_mod_gil
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