numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
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- Issues
- Unexpected initial value with jit
- Pass NULL pointer for cffi.FFI().from_buffer(empty array)
- Strange issue with round() function used in CUDA kernel
- Improve DeadBranchPrune to be type aware in `x is None` case
- Missing type promotions when doing python API calls
- let `new_style` be a superset of `old_style`?
- objects from the jitclass lose dynamic features about the class attributions
- `sign` with complex values does not match numpy 2.0
- lack of overflow check and incorrect type init when using jitclass
- Omitted default argument not working
- Docs
- Python not yet supported