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Since py3.13 has been finally published (on Monday), I tried out of curiosity whether it was possible to upgrade our version constraint to use that.
We do not directly rely on Python internals, and py3.x versions are backward compatible (in principle). So, there is no reason for Qibo not to support it, for as long as our dependencies support that.
So, it was just a matter of running
poetry lock
, and... it seems working.Now, we still need to solve the Qibojit problem (that in the meanwhile became also a Qibotn one, and soon Qiboml as well).
I expected this to be blocked by TensorFlow once again. And it should, since they are not distributing wheels for py3.13 yet (and they apparently won't before next year tensorflow/tensorflow#62003 (comment)), but apparently they didn't care declaring it
https://github.com/tensorflow/tensorflow/blob/a2fadc33162b16989eb10a541d112e6b9fffa0e1/tensorflow/tools/pip_package/setup.py#L412
and Poetry is not examining the wheel compatibility, so we already got a valid lockfile anyhow.
While going through Qibojit and the rest of it (following the much beloved procedure in #1231 (comment)) further problems may arise. But, at this point, I will have a try soon, also to track the present blockers.