On Sat, 2023-12-23 at 09:56 -0500, Marten van Kerkwijk wrote: > Hi Sebastian, > > > That looks nice, I don't have a clear feeling on the order of > > items, if > > we think of it in terms of `(start, stop)` there was also the idea > > voiced to simply add another name in which case you would allow > > start > > and stop to be separate arrays. > > Yes, one could add another method. Or perhaps even add a new > argument > to `.reduce` instead (say `slices`). But this seemed the simplest > route...
Yeah, I don't mind this, doesn't stop us from a better idea either. Adding to `.reduce` could be fine, but overall I actually think a new name or using `reduceat` is nicer than overloading it more, even `reduce_slices()`. > > <snip> > > > > I suppose the machinery isn't quite set up to do both side-by-side. > > I just followed what is done for reduce, where a default could also > have > made sense given that `where` can exclude all inputs along a given > row. > I'm not convinced it would be necessary to have both, though it would > not be hard to add. Sorry, I misread the code: You do use initial the same way as in reductions, I thought it wasn't used when there were multiple elements. I.e. it is used for non-empty slices also. There is still a little annoyance when `initial=` isn't passed, since default/initial can be different (this is the case for object add for example: the default is `0`, but it is not used as initial for non empty reductions). Anyway, its a small details to some degree even if it may be finicky to get right. At the moment it seems passing `dtype=object` somehow changes the result also. - Sebastian > > All the best, > > Marten > _______________________________________________ > NumPy-Discussion mailing list -- numpy-discussion@python.org > To unsubscribe send an email to numpy-discussion-le...@python.org > https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ > Member address: sebast...@sipsolutions.net > _______________________________________________ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
