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pure_numba_alias_sampling
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qha reviews and mentions
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Numba: A High Performance Python Compiler
Software from our group (cij[1], qha[2]) were developed when numba seems to be the best option for JIT. It generates more pain in the hindsight. It generates a lot of depreciated warning due to unstable API, locked numpy to a certain version (i remember 1.21) due to compatibility issues, and when M1 Mac comes out, there were for a long time lack of llvmlite porting to the new platform, so cannot run on these new Macs.
If I had to do it again I would just use plain numpy or use the JAX from Google if JIT is really necessary.
[1]: https://github.com/MineralsCloud/cij
[2]: https://github.com/MineralsCloud/qha
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MineralsCloud/qha is an open source project licensed under GNU General Public License v3.0 only which is an OSI approved license.
The primary programming language of qha is Python.
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