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Minutes_2022_09_27
stuartarchibald edited this page Sep 27, 2022
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Attendees: Graham Markall, Guilherme, Ianna Osborne, kc611, LI Da, Shannon Quinn, stuart, Todd A. Anderson, Siu Kwan Lam, Andre Masella, Val, brandon willard FPOC (last week): Andre
NOTE: All communication is subject to the Numba Code of Conduct.
Please refer to this calendar for the next meeting date.
- LLVM remarks demo (Andre)
- The
setuptoolsdilema: https://github.com/numba/numba/pull/8366 (Stu / Val)- remove setuptools as runtime dependency
- optional runtime dependency for pycc
- not pinning to any version of setuptools
- Deprecating
@generated_jit: https://github.com/numba/numba/issues/8466 (Stu / Graham)- Conclusion of the discussion is summmarized on the issue.
- Deprecating and removing fallback: https://github.com/numba/numba/issues/8465 (Stu / Graham)
- Conclusion of the discussion is summmarized on the issue.
-
#8451 -
np.stdgives a different result in Numba when the input is an empty array - #8452 - Documentation doesn't explain how to run tests
- #8453 - Reproducible bug in parallel mode when prange loop contains a condition on an optional argument
- #8455 - pythonapi function for PyBytes_AsStringAndSize?
- #8456 - Entries in record arrays cannot be flexibly set to zero
- #8457 - Heap corruption detected when using prange
- #8459 - Support averaging across axis in np.average
- #8460 - OSError: Could not load shared object file: libllvmlite.so
- #8461 - Call to exp with float32 values using numba does not produce the same result as using numpy
- #8463 - Add more LLVM build info to numba -s
- #8464 - NumPy 1.24 support
-
#8465 - Tasks for deprecating/removing "fallback" compilation pipelines from the default
@jitbehaviour. -
#8466 - Consider deprecating
numba.generated_jit
llvmlite:
- #881 - Support opaque pointers