On Oct 31, 11:40 pm, "William Stein" <[EMAIL PROTECTED]> wrote:
> numpy arrays are multidimensional, etc., and are much more sophisticated
> than Sage matrices. All Sage does is 2-dimensional nxm matrices, and
> isn't really designed for sophisticated reshaping, especially in the
> multidimensio
On Wed, 31 Oct 2007 21:53:35 -0700, Manny <[EMAIL PROTECTED]> wrote:
> On Oct 30, 9:19 pm, Carl Witty <[EMAIL PROTECTED]> wrote:
>> The simplest workaround is not to try to store Sage values in numpy
>> arrays. Is there a reason you can't use Sage matrices? If there is
>> some matrix functionali
On Oct 30, 9:19 pm, Carl Witty <[EMAIL PROTECTED]> wrote:
> The simplest workaround is not to try to store Sage values in numpy
> arrays. Is there a reason you can't use Sage matrices? If there is
> some matrix functionality that numpy has and Sage doesn't, maybe we
> could add it to Sage.
Th
On Oct 29, 12:05 am, Manny <[EMAIL PROTECTED]> wrote:
> In sage, the arguments of numpy.dot can be changed when they
> shouldn't. The following illustrates the problem:
>
> import numpy as npy
> # With sage.rings.integer.Integer:
> x = npy.array([1])
> print x
> # [1]
> npy.dot(x, npy.array([0])
