On Tue, Jan 19, 2016 at 12:43 PM, Charles R Harris < charlesr.har...@gmail.com> wrote:
> > > On Tue, Jan 19, 2016 at 10:42 AM, Robert Kern <robert.k...@gmail.com> > wrote: > >> On Tue, Jan 19, 2016 at 5:40 PM, Charles R Harris < >> charlesr.har...@gmail.com> wrote: >> > >> > On Tue, Jan 19, 2016 at 10:36 AM, Robert Kern <robert.k...@gmail.com> >> wrote: >> >> >> >> On Tue, Jan 19, 2016 at 5:27 PM, Charles R Harris < >> charlesr.har...@gmail.com> wrote: >> >> > >> >> >> >> > On Tue, Jan 19, 2016 at 9:23 AM, Chris Barker - NOAA Federal < >> chris.bar...@noaa.gov> wrote: >> >> >> >> >> >> What does the standard lib do for rand range? I see that randint Is >> closed on both ends, so order doesn't matter, though if it raises for b<a, >> then that's a precedent we could follow. >> >> > >> >> > randint is not closed on the high end. The now deprecated >> random_integers is the function that does that. >> >> > >> >> > For floats, it's good to have various interval options. For >> instance, in generating numbers that will be inverted or have their log >> taken it is good to avoid zero. However, the names 'low' and 'high' are >> misleading... >> >> >> >> They are correctly leading the users to the manner in which the author >> intended the function to be used. The *implementation* is misleading by >> allowing users to do things contrary to the documented intent. ;-) >> >> >> >> With floating point and general intervals, there is not really a good >> way to guarantee that the generated results avoid the "open" end of the >> specified interval or even stay *within* that interval. This function is >> definitely not intended to be used as `uniform(closed_end, open_end)`. >> > >> > Well, it is possible to make that happen if one is careful or directly >> sets the bits in ieee types... >> >> For the unit interval, certainly. For general bounds, I am not so sure. >> > > Point taken. > What's the practical importance of this. The boundary points have probability zero, theoretically. What happens if low and high are only a few nulps apart? If you clip the distribution to obey boundary rules you create mass points :) Josef > > Chuck > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > https://mail.scipy.org/mailman/listinfo/numpy-discussion > >
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