[Numpy-discussion] Should bool_ subclass int?

Timothy Hochberg tim.hochberg@ieee....
Mon Jul 9 18:24:44 CDT 2007

On 7/9/07, Alan G Isaac <aisaac@american.edu> wrote:
> On Mon, 9 Jul 2007, Timothy Hochberg apparently wrote:
> > Why not simply use & and | instead of + and *?
> A couple reasons, none determinative.
> 1. numpy is right a Python is wrong it this case

I don't think I agree with this. Once you've decided to make Boolean a
subclass of Int, then Python's behavior seems to be the most sensible. One
could argue (and people did) about whether that was a good choice, but it's
useful for a lot of practical applications. In any event, given that Boolean
subclasses Int, I think the current behavior is probably for the best.

   (but granted, I would usually go with Python is such cases)
> 2. consistency with Boolean matrices

OK. I sort of read past the fact that you were referring to matrices not
arrays. This doesn't matter to me personally because I don't use the matrix
class. I do do matrix algebra on occasion, but the matrix class has never
been helpful for me. YMMV.

Elaboration on 2:
> Boolean matrices currently behave as expected, with standard
> notation.  Related to this, they handle exponents correctly.
> Suppose arrays are changed as you suggest.
> Then either
> - array behavior and matrix behavior are decoupled, or
> - matrix behavior is completely broken for boolen matrices
> Alan Isaac
> PS Examples of good behavior:
> >>> x
> matrix([[True, True],
>         [True, False]], dtype=bool)
> >>> y
> matrix([[False, True],
>         [True, False]], dtype=bool)
> >>> x*y
> matrix([[True, True],
>         [False, True]], dtype=bool)
> >>> x**2
> matrix([[True, True],
>         [True, True]], dtype=bool)

x*y and x**2 are already decoupled for arrays and matrices. What if x*y was
simply defined to do a boolean matrix multiply when the arguments are
boolean matrices?

I don't care about this that much though, so I'll let it drop.

.  __
.   |-\
.  tim.hochberg@ieee.org
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