numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
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- Issues
- "for x in arr" breaks auto-vectorization, unlike semantically-equivalent indexing
- Failure to optimize division by power-of-2 into bitshifting
- `FunctionType` called by another jitted function throws a `ValueError`
- Track ufunc methods and attributes impl. progress
- Add an alternate runtests script for bootstrapping on new Python
- Return `Tuple` type containing `Record` type has an error
- Tracking NumPy usage in various modules.
- `TypeError` when referencing value from typed dict `get()` with `prange()`
- Numba Dispatch error when Number of keyword args > 3 for nested numba calls
- Using numpy random generators does not work with optional arguments
- Docs
- Python not yet supported