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 <vondruch@xxxxxxxxxx> 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 ZatloukalSenior Quality EngineerRed Hat
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