On Friday, June 10, 2011, Olivier Delalleau <sh...@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 _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
