I see speed changes vs behavior changes as different category of changes in my mind.
I understand that now importing library can slow down NumPy for small arrays. But I have the impression you tell this can also give behavior change. I do not understand why this could happen. A pure numpy script, that you just import dask or other library without using them, would just cause a slowdown. Not a behavior change. Behavior change's start to happen only when you start to use the new library. Did I miss something? Frédéric -----Original Message----- From: NumPy-Discussion <numpy-discussion-bounces+fbastien=nvidia....@python.org> On Behalf Of Stefan van der Walt Sent: Thursday, March 7, 2019 12:15 PM To: Discussion of Numerical Python <numpy-discussion@python.org> Cc: Matthew Rocklin <mrock...@gmail.com> Subject: Re: [Numpy-discussion] NEP-18 comment Hi Sebastian, Frederic, On Thu, 07 Mar 2019 14:23:10 +0000, Frederic Bastien wrote: > I like your idea Sebastian. This way it is enabled only when needed and it is > invisible to the user at the same time. > > Stefan, does it solve well enough the potential problem you raised? I don't think so. This means that NumPy suddenly behaves differently when dask is imported, which again causes the problem mentioned earlier: that identical NumPy code could behave differently depending on library versions, imports, and the environment. That said, I think this is a better solution than an environment variable. Anyway, my opinion is just one of many: I'd like to hear what the other developers think. Best regards, Stéfan _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion ----------------------------------------------------------------------------------- This email message is for the sole use of the intended recipient(s) and may contain confidential information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply email and destroy all copies of the original message. ----------------------------------------------------------------------------------- _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion
