NumPy np.bool_ is specifically not a subclass of any np.int_. If it we're, there would be an ambiguity between indexing with a Boolean array and an array of ints. Both are meaningful, but they mean different things (mask vs collection of indices).
Do we have other examples a Python ABC that exists to accommodate something outside the standard library or builtins? Even if not, NumPy is special... the actual syntax for '@' exists primarily for that library! On Feb 12, 2018 5:51 AM, "Steven D'Aprano" <st...@pearwood.info> wrote: On Mon, Feb 12, 2018 at 09:41:04AM +0000, Sylvain MARIE wrote: > The numbers module provides very useful ABC for the 'numeric tower', > able to abstract away the differences between python primitives and > for example numpy primitives. > I could not find any equivalent for Booleans. > However numpy defines np.bool too, so being able to have an abstract > Boolean class for both python bool and numpy bool would be great. I don't know anything about numpy bools, but Python built-in bools are numbers, and as such already have an ABC: they are a subclass of int. -- Steve _______________________________________________ Python-ideas mailing list Python-ideas@python.org https://mail.python.org/mailman/listinfo/python-ideas Code of Conduct: http://python.org/psf/codeofconduct/
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