On 25 Jul., 05:17, Matthew Brett <matthew.br...@gmail.com> wrote: > Hi, > > On Sun, Jul 24, 2011 at 10:22 PM, Vinzent Steinberg > > <vinzent.steinb...@googlemail.com> wrote: > > On Jul 24, 1:28 am, Matthew Brett <matthew.br...@gmail.com> wrote: > >> To me, that inconsistency is a benefit. Is there some disbenefit? > >> I'm asking honestly. For me it is just a question of reduced > >> readability in doctests and examples. > > > How would you get floating point numbers in doctests where you want > > exact numbers? > > I hesitate to belabor a point that seems agreed, but this is the > doctest that caused me to notice: > > https://github.com/statsmodels/formula/blob/master/formula/random_eff... > > It comes up because we have array entries that can be floats or > symbols, and it's convenient to process the array by using using > numpy.dot with an array of floats.
Thanks, I have been curious. I think you should explicitly convert the floats to ints in this case. (As already discussed, there is a reason that Python does not autosimplify 1.0 to 1.) Vinzent -- You received this message because you are subscribed to the Google Groups "sympy" group. To post to this group, send email to sympy@googlegroups.com. To unsubscribe from this group, send email to sympy+unsubscr...@googlegroups.com. For more options, visit this group at http://groups.google.com/group/sympy?hl=en.
