[Numpy-discussion] svd

[Charles Doutriaux]

Hello,

I'm using 1.1.0 and I have a bizarre thing happening

it seems as if:
doing:
import numpy
SVD = numpy.linalg.svd

if different as doing
import numpy.oldnumeric.linear_algebra
SVD = numpy.oldnumeric.linear_algebra.singular_value_decomposition

In the first case passing an array (204,1484) retuns array of shape:
svd: (204, 204) (204,) (1484, 1484)

in the second case I get (what i expected actually):
svd: (204, 204) (204,) (204, 1484)

But looking at the code, it seems like 
numpy.oldnumeric.linear_algebra.singular_value_decomposition
is basicalyy numpy.linalg.svd

Any idea on what's happening here?

Thx,

C.