On Fri, Feb 15, 2019 at 2:37 PM Avi Gross <avigr...@verizon.net> wrote:
> But here is a curiosity. The numpy add-on package has a nan that is UNIQUE
> so two copies are the same. Read this transcript and see if it might
> sometimes even be useful while perhaps confusing the heck out of people who
> assume all nans are the same, or is it all nans are different?
>
> >>> floata = float('nan')
> >>> floatb = float('nan')
> >>> floata, floatb
> (nan, nan)
> >>> floata == floatb
> False
> >>> floata is floatb
> False
>
> >>> numpya = numpy.nan
> >>> numpyb = numpy.nan
> >>> numpya, numpyb
> (nan, nan)
> >>> numpya == numpyb
> False
> >>> numpya is numpyb
> True
>You shouldn't be testing floats for identity. >>> x = 2.0 >>> y, z = x+x, x*x >>> y == z True >>> y is z False If nan identity is confusing people, other float identity should be just as confusing. Or, just don't test value types for identity unless you're actually trying to see if they're the same object. ChrisA -- https://mail.python.org/mailman/listinfo/python-list
