[SciPy-dev] numpy.float128 absence yield bugs
Mon Mar 10 12:37:42 CDT 2008
As for numpy.longdouble (and related types if they are intended to be
implemented), I suppose numpy also should have a function to return
number of bites used (128, 96, 64 etc).
Ok. Another one question: does numpy have function(s), that accepts a
numpy type (float32, float64, uint16 etc) and yields: max value (like
1e300); min value (like -1e300); min positive value (for floats) like
Thank you in advance, D.
Travis E. Oliphant wrote:
> dmitrey wrote:
>> hi all,
>> if numpy.float128 type is absent (BTW does it related to OS or something
>> else?), it yields bugs even if the type is never used (while importing
>> from a py-file). For example:
> I suggest using numpy.longdouble if you are interested in cross-platform
> use of float128. There will always be a longdouble, but on some
> platforms it is 128-bit, on others 96-bit, and on others 64-bit (i.e.
> the same as double).
> -Travis O.
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