On Fri, 2013-08-23 at 07:59 -0700, Chris Barker - NOAA Federal wrote:
On Aug 22, 2013, at 11:57 PM, David Cournapeau <cournape@gmail.com> wrote:
<snip>
arch -32 python -c "import numpy as np; print np.dtype(np.int); print np.dtype(np.long)" int32 int64
So this is giving us a 64 bit int--not a bad compromise, but not a python long--I've got to wonder why the alias is there at all.
It is there because you can't remove it :).
arch -64 python -c "import numpy as np; print np.dtype(np.int); print np.dtype(np.long)" int64 int64
Same thing on 64 bit.
So while np.long is an alias to python long--it apparently is translated internally as 64 bit -- everywhere?
Not sure how a python long is translated...
So apparently there is no way to get a "platform long". ( or, for that matter, a platform anything else, it's just that there is more consistancy among common platforms for the others)
An np.int_ is a platform long, since the python ints are C longs. It is a bit weird naming, but it is transparent. Check http://docs.scipy.org/doc/numpy-dev/reference/arrays.scalars.html#built-in-s... you got everything platform dependend there really. `intc` is an int, `int_` is a long, and you got `longlong`, as well as `intp` which is an ssize_t, etc. - Sebastian
-Chris
All this is on python 2.7, I am not sure how/if that changes on python 3 (that consolidated python int/long).
David
-Chris
--
Christopher Barker, Ph.D. Oceanographer
Emergency Response Division NOAA/NOS/OR&R (206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception
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