[Numpy-discussion] fread codes versus numpy types (original) (raw)
David M. Cooke cookedm at physics.mcmaster.ca
Wed Jun 28 14:53:56 EDT 2006
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On Wed, 28 Jun 2006 11:22:38 -0600 "Fernando Perez" <fperez.net at gmail.com> wrote:
On 6/28/06, Robert Kern <robert.kern at gmail.com> wrote:
> The Capitalized versions are actually old typecodes for backwards > compatibility with Numeric. In recent development versions of numpy, they > are no longer exposed except through the numpy.oldnumeric compatibility > module. A decision was made for numpy to use the actual width of a type > in its name instead of the width of its component parts (when it has > parts). > > Code in scipy which still requires actual string typecodes is a bug. > Please report such cases on the Trac: > > http://projects.scipy.org/scipy/scipy Well, an easy way to make all those poke their ugly heads in a hurry would be to remove line 32 in scipy's init: longs[Lib]> grep -n oldnum *py init.py:31:import numpy.oldnumeric as num init.py:32:from numpy.oldnumeric import *
If we really want to push for the new api, I think it's fair to change those two lines by simply from numpy import oldnumeric so that scipy also exposes oldnumeric, and let all deprecated names be hidden there. I just tried this change: Index: init.py =================================================================== --- init.py (revision 2012) +++ init.py (working copy) @@ -29,9 +29,8 @@ # Import numpy symbols to scipy name space import numpy.oldnumeric as num -from numpy.oldnumeric import * -del lib -del linalg +from numpy import oldnumeric + all_ += num._all doc += """ Contents and scipy's test suite still passes (modulo the testcobyla thingie Nils is currently fixing, which is not related to this). Should I apply this patch, so we push the cleaned-up API even a bit harder?
Yes please. I think all the modules that still use the oldnumeric names actually import numpy.oldnumeric themselves.
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