numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
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- Issues
- Feature request: user-level statically defined tracepoints
- Vectorize doesn't play well with `forceobj=True`
- Purely scalar inputs break njit'd functions that utilize np.stack
- Numba caches relative imports and not absolute
- Runtime integer calculation overflow
- Unsupported op-code encountered: list_to_tuple (only with Python 3.9)
- prange with randomised / shuffled iteration
- RuntimeWarning: invalid value when disabling AVX2
- CUDA typing / lowering can't find `contains_impl` for char sequences
- Inconsistent self-values assignment within 2-dimensional array
- Docs
- Python not yet supported