On Wed, 2 Sep 2009, Dag Sverre Seljebotn wrote:
Sturla Molden wrote:
Dag Sverre Seljebotn skrev:
Nitpick: This will fail on large arrays. I guess numpy.npy_intp is the right type to use in this case?
By the way, here is a more polished version, does it look ok?
I didn't look at the algorithm, but the types look OK (except for the gil as you say). Comments:
a) Is the cast to numpy.npy_intp really needed? I'm pretty sure shape is defined as numpy.npy_intp*. b) If you want higher performance with contiguous arrays (which occur a lot as inplace=False is default I guess) you can do
np.ndarray[T, ndim=1, mode="c"]
to tell the compiler the array is contiguous. That doubles the number of function instances though...
Cython needs something like Java's generics by the way :-)
Yes, we all long for that. It will come as soon as somebody volunteers I suppose -- it shouldn't be all that difficult, but I don't think any of the existing devs will be up for it any time soon.
Danilo's C++ project has some baby steps in that direction, though it'll need to be expanded quite a bit to handle this.