On Feb 5, 2008 9:27 PM, Keith Goodman <[EMAIL PROTECTED]> wrote:
> On Feb 5, 2008 11:58 AM, <[EMAIL PROTECTED]> wrote:
> > The problem is for an array larger than 256*256 the sum is going crazy.
> >
> > In [45]: numpy.arange(256*256)
> > Out[45]: array([0, 1, 2, ..., 65533, 65534, 655
On Feb 5, 2008 11:58 AM, <[EMAIL PROTECTED]> wrote:
> The problem is for an array larger than 256*256 the sum is going crazy.
>
> In [45]: numpy.arange(256*256)
> Out[45]: array([0, 1, 2, ..., 65533, 65534, 65535])
>
> In [46]: numpy.arange(256*256).sum()
> Out[46]: 2147450880
>
> In [
Sorry its not really a bug. I understood why . It's an integer and I'm doing
an overflow. Perhaps an error message can be printed or an automatic change
(with a warning) can be done. I think that I prefer to loose the type but
keep the value correct.
N.
___
Hello,
when doing some test I saw a very important bug in numpy (at least on the svn
version and 1.0.3 (ubuntu package)).
I'm using a svn version of numpy:
In [31]: numpy.__version__
Out[31]: '1.0.5.dev4767'
The problem is for an array larger than 256*256 the su
