cfbolz changed the topic of #pypy to: #pypy PyPy, the flexible snake https://pypy.org | IRC logs: https://quodlibet.duckdns.org/irc/pypy/latest.log.html#irc-end and https://libera.irclog.whitequark.org/pypy | the pypy angle is to shrug and copy the implementation of CPython as closely as possible, and staying out of design decisions
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<mattip> fijal: sorry, was not around. I think all the info is in the issue
<mattip> one "solution" is to drop support for macos<10.15 in the portable builds on downloads.python.org/pypy/
<LarstiQ> 10.14 is from 2018 it seems, pre-pandemic but not _that_ old?
<mattip> people with earlier versions can use conda
<mattip> which provides its own libffi
<mattip> is there hardware that supports 10.14 but not 10.15?
<LarstiQ> Instead of adding four relations for each side of the outer square we can add them altogether since the +1, +1, -1, -1 factors will cancel out.
<LarstiQ> gah
<LarstiQ> pasted the wrong thing
<LarstiQ> https://discussions.apple.com/docs/DOC-250002395 says "All who support Mojave support macOS Catalina Except: Mac Pro introduced mid-2010 or mid-2012 models with a recommended Metal-capable graphics card.
<LarstiQ> "
<LarstiQ> mattip: so if that's true, the only not supported hardware would be a decade old?
<mattip> right, so I am not sure how hard we should try to support that version of macOS
<cfbolz> Happy 2023 everyone!
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<fijal> mattip: what am I doing?
<mattip> cfbolz: happy new year.
<mattip> fijal: is there a way to make pypy work with an older libffi?
<fijal> uh
<fijal> on m1? I don't think so
<fijal> I was made to believe the answer is "no"
<mattip> on x86_64. See the issue https://foss.heptapod.net/pypy/pypy/-/issues/3880
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