[Numpy-discussion] numpy type mismatch

Benjamin Root ben.root@ou....
Fri Jun 10 15:24:44 CDT 2011


On Friday, June 10, 2011, Olivier Delalleau <shish@keba.be> wrote:
> It's ok to have two different dtypes (in the sense that "d1 is not d2") such that they represent the same kind of data (in the sense that d1 == d2).

Note that the memory addresses for int64, float32 and float64
accumulators did match the expected type.  This issue with int32 seems
to be unique.

Ben Root


More information about the NumPy-Discussion mailing list