Stan Seibert
Stan Seibert
This can certainly be done (and you can often write the implementations in Python rather than use the LLVM builder syntax). Here is where the implementation of the beta distribution...
I haven't looked at the implementation of these distributions in numpy, though. They might depend on some external data or functions that are harder to put into Numba. If you...
Making it possible to pickle jitclass is a requirement for any jitclass refactoring we do, however we are not likely to be doing any improvements to jitclass in the near...
Numba functions can be pickled (cloudpickle, to be precise) for remote execution (most commonly, with Dask), and will be re-compiled on the target system in case it does not match...
Yeah, I think that will cover the most common case. I don't know if anyone is applying the Numba decorator to functions after unpickling on the destination. That seems unlikely,...
Agreed. We are definitely interested in ways to expand the semantics of gufuncs.
This will definitely be a post 1.0 feature.
One thing I'm curious to know is how we should represent NumPy array types in annotations. Numba specializes the code it generates on 3 array attributes: * Number of dimensions...
I did some checking on this last week and discovered (to my disappointment) that variable annotations inside of a function are effectively comments. They don't show up in any of...
The current behavior seems intentional, based on this discussion: https://github.com/python/typing/issues/258