Similarly, python-llvmlite requires llvm14, and the upcoming upstream
release will require llvm15 (with a medium-term plan to get to llvm17).
For complex projects that are tightly coupled to the LLVM implementation
like this, there is generally *absolutely nothing* that downstream
packagers can do to get upstream support for current LLVM releases to
happen faster. This is a well-maintained and responsive package that is,
among other things, the basis of the JIT implementation for the very
popular numba package, https://numba.pydata.org/.
On 5/14/24 9:46 AM, Frantisek Zatloukal wrote:
On Mon, May 13, 2024 at 3:42 PM Vít Ondruch <vondr...@redhat.com> wrote:
My point is that we can spent time maintaining llvm00 - llvm99
packages
or we can spent time adjusting upstream projects to be compatible
with
the latest llvm.
There are many projects that require a fair amount of work to be
ported to newer llvm versions, take intel-igc for example (
https://github.com/intel/intel-graphics-compiler ) where there is now
more than a year long process to slowly get it to llvm 16 (yeah,
that's not a typo).
--
Best regards / S pozdravem,
František Zatloukal
Senior Quality Engineer
Red Hat
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