Roadmap

Cython backend (beta version)

Less bugs and more Cython features… Note that unfortunately we are limited by Cython bugs!

[done] Header also for Pythran (.pythran)
[done] Refactore backends “for method”
[done] Recompile if header changed
[done] test_run.py: also check signature files
[done] Fused types rather than more than one signature for
- [done] boost functions
- [done] boost methods
- [done] blocks
- [done] jit functions
- [done] jit methods
[done] BackendJITCython
[done] Check/fix
- [done] boost methods
- [done] blocks
- [done] jit functions
- [done] jit methods
[done] Cython decorators (boundscheck, wraparound, cdivision, nonecheck)
[done] void type
[done] Correct use of fused types (only 1 set of annotations supported)
Special function definitions
- [done] inline
- [done] return type
- nogil
better fused types
nogil context manager
casting
locals annotations for
- boost methods
- blocks
- jit functions
- jit methods
“exterior” functions + understand the tests

Better Numba backend

numba.jit (not only numba.njit)
fastmath argument

`transonic.dataclass` decorator

It would allow one to use numba.jitclass and Cython extension type.

A interesting goal would be to rewrite pygbm (written in Numba) with Transonic. Note that the Cython translation is here in scikit-learn. Good Rosetta stone!

Backends as Transonic extensions

We can try that with pyccel.

Alternative syntax for blocks

See issue #6

Alternative implementations for specified backends

Which API?

Parallelism

We can already use OpenMP with Transonic-Pythran. But OpenMP pragmas are not understood by the other backends. Numba and Cython use different notations (with prange):