[Numpy-discussion] Geometric, negative binomial and poisson fail for extreme arguments

[Charles R Harris]

On Tue, May 25, 2010 at 9:20 PM, <josef.pktd at gmail.com> wrote:

> On Tue, May 25, 2010 at 10:34 PM, Charles R Harris
> <charlesr.harris at gmail.com> wrote:
> > Josef,
> >
> > This is ticket #896 from two years ago. IIRC, there was some more recent
> > discussion on the list of some of these. Do you know what the current
> state
> > of these distributions is?
>
> I don't have any information on these and I don't remember any
> discussion (and a quick search didn't find anything). I never looked
> at the integer overflow problem, besides reading the ticket.
>
> All 3 distributions are used in scipy.stats and tested for some regular
> values.
>
> (my not very strong opinion: for consistency with the other
> distributions, I would go with Robert's approach of rejecting overflow
> samples. I don't know any application where the truncation would have
> a significant effect.
> In scipy.stats I switched to returning floats instead of integers for
> ppf, because we need inf and nans.)
>
> BTW: If you are fixing things in np.random, then depreciating and
> renaming pareto as we discussed recently on the list would help reduce
> some confusion. I don't think we filed a ticket.
>
>
OK, but it would help if you did file a ticket. And if you think truncation
is the way to go on the #896 could you post a note there also?

Chuck
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