[SciPy-dev] numpy.float128 absence yield bugs

[dmitrey]

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 
1e-300?

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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