Hello,
I have found something I call a bug in the numpy choose() method and
wanted to report it in trac.
http://scipy.org/BugReport states that "SciPy and NumPy Developer Pages
use the same login/password". However, I (username "smoerz") can log in
with my Scipy account at the Scipy Developer Page
(http://projects.scipy.org/scipy/scipy/), but not at the Numpy Developer
Page (http://projects.scipy.org/scipy/numpy/).
Whatever, porting some code from numarray to numpy, I found a regression
in the broadcasting of choose():
import numarray, numpy
numarray.choose([[0,0,1], [0,0,1]], ([2,2,2], [3,3,3]))
array([[2, 2, 3],
[2, 2, 3]])
numarray.choose([0,0,1], ([[2,2,2],[2,2,2]], [[3,3,3],[3,3,3]]))
array([[2, 2, 3],
[2, 2, 3]])
numarray.choose([0,0,1], ([2,2,2], [[3,3,3],[3,3,3]]))
array([[2, 2, 3],
[2, 2, 3]])
Of these 3 cases, only the first one works for numpy, for the other ones
I get:
/usr/lib/python2.5/site-packages/numpy/core/fromnumeric.pyc in choose(a,
choices, out, mode)
167 choose = a.choose
168 except AttributeError:
--> 169 return _wrapit(a, 'choose', choices, out=out, mode=mode)
170 return choose(choices, out=out, mode=mode)
171
/usr/lib/python2.5/site-packages/numpy/core/fromnumeric.pyc in _wrapit(obj,
method, *args, **kwds)
35 except AttributeError:
36 wrap = None
---> 37 result = getattr(asarray(obj),method)(*args, **kwds)
38 if wrap:
39 if not isinstance(result, mu.ndarray):
ValueError: too many dimensions
I consider this as a bad regression from numarray to numpy, because the
failing broadcast examples seem to be more important than the working
one.
Best Regards, Roman
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