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):