[Numpy-discussion] numpy type mismatch
Fri Jun 10 15:24:44 CDT 2011
On Friday, June 10, 2011, Olivier Delalleau <email@example.com> 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.
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