dnf VS CPython

I just use dnf-makecache.service to handle background metadata syncs. Just modify the dnf-makecache.timer to manage when these occur.

https://github.com/rpm-software-management/dnf/pull/1879

However its o my going to work on rhel 10 or anything that has very very up to date DNF version.

Sure. Raise a bug report. Asking nicely on Reddit isn't going to make it happen.

I'm not sure, I'm not a dnf developer. It was implemented in C++, so it would probably have to be done differently in version 4. I belive dnf development is focused on version 5 right now, so adding features to version 4 is probably not a high priority. It would be nice to see it in version 4 so it could be added to current versions of RHEL and Fedora, but time is a finite resource. Perhaps you could implement and send a pull request, or at least file a bug to discuss it upstream?

dnf uses python only for command line functionality. Its core part, libdnf, is written in C++. However yes, dnf in my experience is still significantly slower than apt and pacman.

Lots of people use python apps and not know about it. I don't get where the idea that it's complicated comes from. You run them the same way as everything else. For example if you use anything redhat-based you're running a python app (https://github.com/rpm-software-management/dnf). If you're running any desktop environment, you're likely using at least one python app or something with python scripting embedded.

Of course they also changed the default fedora dnf.conf to make it include best=False, so there was no change, except users can simply delete this line in dnf.conf to enable best.

Also, it is slightly outdated as it does not incorporate RFC9110 which renames some status codes which previously were WebDAV-only:

https://github.com/python/cpython/pull/117611

Hey Maxime!

> whereas AFAIK the Python JIT project was lead by a student.

I am definitely not leading the team! I am frankly unqualified to do so lol. The team is mostly led by Mark Shannon, who has 10+ years of compiler/static analysis experience as well. The only thing I initially led was the optimizer implementation for the JIT. The overall design to choose tracing, to use copy and patch, etc. were other people.

> However they decided to ignore my advice and go with their own unproven approach.

Your advice was very much appreciated and I definitely didn't ignore your advice. I just don't have much say over the initial architectural choices we make. We're slowly changing the JIT based on data, but it is an uphill battle like you said. If you're interested, it's slowly becoming more like lazy basic block versioning https://github.com/python/cpython/issues/128939

You did great work on YJIT, and I am quite thankful for that.

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https://github.com/python/cpython/blob/847d1c2cb4014f122df64.... i686 is Windows only. I see there's a warning about this later if you're unsupported and therefore a 0 case, but either this becomes an error later on or they softened the impact since I did this. Or I'm looking at the wrong check.

Still the same way I have told people for the past 10 years: go to https://www.python.org/ and have fun.

sorted() creates a copy. *Be careful, sorted() does shallow copy instead of deep copy as my issue.

downloaded it from ➡️ https://www.python.org. After installing, I typed python --version in Git Bash — and yes, Python 3.10 showed up.