numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
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- Issues
- register_jitable + cfunc + carray + non-constant slicing = miscompile silently
- Strange interaction between reshaping and type casting in Numba
- cpython scalar treatment inconsistency between `numba.types.Tuple` and `numba.types.NamedTuple`
- Redefining numpy array in parallel mode leads to wrong shapes
- [CUDA] Hang when using `continue` and `cuda.syncthreads_or`
- Added support for `reversed` keyword
- Use `warnings.simplefilter()` to implement `NUMBA_DISABLE_PERFORMANCE_WARNINGS` env var
- `NUMBA_DISABLE_PERFORMANCE_WARNINGS=1` fails to disable warnings
- Adapt to Python 3.13 low-level monitoring C-API
- Support caching for @jitclass
- Docs
- Python not yet supported