[Numpy-discussion] Power domain (was Re: bug in oldnumeric.ma)
Fri May 9 16:23:07 CDT 2008
On Friday 09 May 2008 17:13:02 Eric Firing wrote:
> Anne Archibald wrote:
> > 2008/5/9 Eric Firing <firstname.lastname@example.org>:
> >> md = make_mask((fb != fb.astype(int)) & (fa < 0), shrink=True)
> > Unfortunately this isn't quite the right condition:
> > In : x = 2.**35; numpy.array([-1.])**x; numpy.array(x).astype(int)==x
> > Out: array([ 1.])
> > Out: False
> > Switching to int64 seems to help:
> There may not be a perfect solution, but I suspect your suggestion to
> use int64 is more than good enough to get things going for a 1.1
> release. The docstring could note the limitation. If it is established
> that the calculation will fail for a power outside some domain, then
> such a domain check could be added to the mask.
Interestingly, I notice that MaskedArray misses a __pow__ method: it uses the
ndarray.__pow__ method instead, that may outputs NaNs. In other terms, I
gonna have to code MaskedArray.__pow__, following Eric' example, with int64
instead of int.
But, why don't we compare:
instead ? At which point will b be considered sufficiently close to an integer
that x**b won't return NaN ?
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