Hi Folks, In porting some code to a 64-bit machine, I ran across the following issue. On the 64-bit machine, an array with dtype=int32 prints the dtype explicitly, whereas on a 32 bit machine it doesn't. The same is true for dtype=intc (since 'intc is int32' --> True), and the converse is true for dtype=int64 and dtype=longlong. Arrays with dtype of plain int both print without the dtype, but then you're not using the same underlying size anymore. I think this is handled in core/numeric.py in array_repr and just above, where certain types are added to _typelessdata if they are subclasses of 'int'. The issubclass test returns different values on platforms with different word lengths. This difference can make doctests fail and although there are doctest tricks to prevent the failure, they're a bit annoying to use. I was wondering about introducing a new print setting that forced dtypes to be printed always. Is there any support for that? Any other ideas would also be most welcome.
Thanks, Ken Basye _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion