[SciPy-dev] numpy.float128 absence yield bugs
Mon Mar 10 07:44:29 CDT 2008
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:
from numpy import ..., float64, float128
else: <use float64>
So numpy turns out not being 100% cross-platform.
Maybe it would be better to raise a warning like "float128 is absent,
float64 will be used instead"?
Or, better, implement float128 being always present at all? (I.e.
connect a library that will take care of float128 type provided native
machine support is absent)?
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