[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

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