If symmetry w.r.t. pytorch is any guide, it was nice to have it: In [38]: float(torch.as_tensor([2])) Out[38]: 2.0
In [39]: float(np.asarray([2])) Out[39]: 2.0 I guess this boils down to what is a scalar really: is it `scalar.size == 1` or `scalar.ndim == 0` or something else. But that's just a digression, nevermind. On Thu, Apr 20, 2023 at 7:25 PM Stephan Hoyer <[email protected]> wrote: > > > On Thu, Apr 20, 2023 at 9:12 AM Sebastian Berg <[email protected]> > wrote: >> >> Hi all, >> >> Unlike conversions of 0-d arrays via: >> >> float(np.array([1])) >> >> conversions of 1-D or higher dimensional arrays with a single element >> are a bit strange: >> >> float(np.array([1])) >> >> And deprecating it has come up often enough with many in favor, but >> also many worried about the possible annoyance to users. >> I decided to give the PR a shot, I may have misread the room on it >> though: >> >> https://github.com/numpy/numpy/pull/10615 >> >> So if this turns out noisy (or you may simply disagree), I am happy to >> revert! > > > This looks like a great clean-up to me, thanks for giving this a try! > _______________________________________________ > NumPy-Discussion mailing list -- [email protected] > To unsubscribe send an email to [email protected] > https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ > Member address: [email protected] _______________________________________________ NumPy-Discussion mailing list -- [email protected] To unsubscribe send an email to [email protected] https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: [email protected]
