On Fri, 2013-08-23 at 07:59 -0700, Chris Barker - NOAA Federal wrote: > On Aug 22, 2013, at 11:57 PM, David Cournapeau <courn...@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-scalar-types
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 > > > > chris.bar...@noaa.gov > > _______________________________________________ > > NumPy-Discussion mailing list > > NumPy-Discussion@scipy.org > > http://mail.scipy.org/mailman/listinfo/numpy-discussion > > > > > > _______________________________________________ > > NumPy-Discussion mailing list > > NumPy-Discussion@scipy.org > > http://mail.scipy.org/mailman/listinfo/numpy-discussion > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
