Just to clarify, I am not the one who suggested pipes. :) Read the issue. My 2 cents:
From my experience, calling methods is generally faster than functions. I figure it is due to having less overhead figuring out the input. Maybe it is not significant for large data, but it does make a difference even when working for medium sized arrays - say float size 5000. %timeit a.sum() 3.17 µs %timeit np.sum(a) 5.18 µs (In my experience, `sum` for medium size arrays often becomes a bottleneck in greedy optimisation algorithms where distances are calculated over and over for partial space.) In short, all I want to say is that it would be great if such if speed considerations were addressed if/when developing piping or anything similar. E.g. Pipe implementation could allow additions of optimisations. Then numexpr could then make a plugin. At the top user writes: np.pipe_use_plugin(numexpr.plug_pipe) # or something similar Then, numexpr would kick-in whenever appropriate when using pipes. Regards, DG > On 16 Feb 2024, at 00:12, Marten van Kerkwijk <m...@astro.utoronto.ca> wrote: > >> What were your conclusions after experimenting with chained ufuncs? >> >> If the speed is comparable to numexpr, wouldn’t it be `nicer` to have >> non-string input format? >> >> It would feel a bit less like a black-box. > > I haven't gotten further than it yet, it is just some toying around I've > been doing. But I'd indeed prefer not to go via strings -- possibly > numexpr could use a similar mechanism to what I did to construct the > function that is being evaluated. > > Aside: your suggestion of the pipe led to some further discussion at > https://github.com/numpy/numpy/issues/25826#issuecomment-1947342581 > -- as a more general way of passing arrays to functions. > > -- 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: dom.grigo...@gmail.com _______________________________________________ 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
