>
> Given that we've already chosen to use the fake `shape=...` keyword when
> there is a 0-length axis, what do you think we should do, consistency-wise?
>
> >>> np.empty([10, 0])
> array([], shape=(10, 0), dtype=float64)
>
> 1. Follow the precedent and use the fake `shape=...` keyword in the
> su
I like this, too.
And I think the trailing comment, # shape=... is much better, as it gets
the best of both worlds: user get the info, and tools which do
eval(repr(..)) only need to learn to ignore the comment. For one, numpy's
own doctests will keep working with no churn since scipy_doctest handl
