Travis Oliphant recently raised the issue on the NumPy list of what
mechanisms to use to box native functions produced by his Numba so that
SciPy functions can call it, e.g. (I'm making the numba part up):
@numba # Compiles function using LLVM
def f(x):
return 3 * x
print scipy.integrate.quad(f, 1, 2) # do many callbacks natively!
Obviously, we want something standard, so that Cython functions can also
be called in a fast way.
This is very similar to CEP 523
(http://wiki.cython.org/enhancements/nativecall), but rather than
Cython-to-Cython, we want something that both SciPy, NumPy, numba,
Cython, f2py, fwrap can implement.
Here's my proposal; Travis seems happy to implement something like it
for numba and parts of SciPy:
http://wiki.cython.org/enhancements/nativecall
Obviously this is (in a modified form) PEP-material, but I think it is
much better to just get it working with a nice range of tools first
(makes the PEP application stronger as well).
Feedback most welcome!
Dag
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