On Mon, 8 Jan 2007, Stefan van der Walt apparently wrote:
> I tend to agree that the behaviour is unexpected. In some
> cases, like with sort, however, I think the difference in
> behaviour is useful:
I'm going to speculate everyone agrees that the numpy 'sort'
function is is useful. Perhap
On Mon, Jan 08, 2007 at 12:24:01PM -0800, Sebastian Haase wrote:
> On 1/8/07, Robert Kern <[EMAIL PROTECTED]> wrote:
> > Sebastian Haase wrote:
> >
> > > I would suggest treating this as a real bug!
> > > Then it could be fixed immediately.
> >
> > Deliberate design decisions don't turn into bugs j
Sebastian Haase wrote:
> On 1/8/07, Robert Kern <[EMAIL PROTECTED]> wrote:
>> Sebastian Haase wrote:
>>
>>> I would suggest treating this as a real bug!
>>> Then it could be fixed immediately.
>> Deliberate design decisions don't turn into bugs just because you disagree
>> with
>> them. Neither do
On 1/8/07, Robert Kern <[EMAIL PROTECTED]> wrote:
> Sebastian Haase wrote:
>
> > I would suggest treating this as a real bug!
> > Then it could be fixed immediately.
>
> Deliberate design decisions don't turn into bugs just because you disagree
> with
> them. Neither do those where the original de
Sebastian Haase wrote:
> I would suggest treating this as a real bug!
> Then it could be fixed immediately.
Deliberate design decisions don't turn into bugs just because you disagree with
them. Neither do those where the original decider now disagrees with them.
--
Robert Kern
"I have come to
On 1/8/07, Travis Oliphant <[EMAIL PROTECTED]> wrote:
> Sebastian Haase wrote:
>
> >On 1/8/07, Stefan van der Walt <[EMAIL PROTECTED]> wrote:
> >
> >
> >Hi Stéfan,
> >
> >Why is there a needed for this very confusing dualty !?
> >I would almost like to file a bug report on this !
> >
> >(It definit
Sebastian Haase wrote:
>On 1/8/07, Stefan van der Walt <[EMAIL PROTECTED]> wrote:
>
>
>Hi Stéfan,
>
>Why is there a needed for this very confusing dualty !?
>I would almost like to file a bug report on this !
>
>(It definitily broke "backwards compatibility" for my code coming from
>numarray )
>
On 1/8/07, Stefan van der Walt <[EMAIL PROTECTED]> wrote:
> On Fri, Jan 05, 2007 at 01:57:50PM -0800, Russell E Owen wrote:
> > I also checked the numpy 1.0.1 help and I confess I don't understand at
> > all what it claims to do if the new size is larger. It first says it
> > repeats a and then it
On Fri, Jan 05, 2007 at 01:57:50PM -0800, Russell E Owen wrote:
> I also checked the numpy 1.0.1 help and I confess I don't understand at
> all what it claims to do if the new size is larger. It first says it
> repeats a and then it says it zero-fills the output.
>
> >>> help(numpy.resize)
> Hel
On 1/5/07, Russell E Owen <[EMAIL PROTECTED]> wrote:
> In article
> <[EMAIL PROTECTED]>,
> "Sebastian Haase" <[EMAIL PROTECTED]> wrote:
>
> > On 1/4/07, Sebastian Haase <[EMAIL PROTECTED]> wrote:
> >
> > > >>> N.__version__
> > > '1.0.2.dev3487'
> > >
> > > in any case: inside the script it some
In article
<[EMAIL PROTECTED]>,
"Sebastian Haase" <[EMAIL PROTECTED]> wrote:
>...But maybe even more worry some for the converting from numarray is
this:
> >>> a = N.array([5])
> >>> 999 # to kill '_' - reference
> 999
> >>> a.resize(2)
> >>> a
> [5 0]
>
> in numarray you would get
> >>> a =
In article
<[EMAIL PROTECTED]>,
"Sebastian Haase" <[EMAIL PROTECTED]> wrote:
> On 1/4/07, Sebastian Haase <[EMAIL PROTECTED]> wrote:
>
> > >>> N.__version__
> > '1.0.2.dev3487'
> >
> > in any case: inside the script it somehow generated a nan --- is
> > there a bug in numpy !?
>
> No bug her
On 1/4/07, Sebastian Haase <[EMAIL PROTECTED]> wrote:
> >>> N.__version__
> '1.0.2.dev3487'
>
> in any case: inside the script it somehow generated a nan --- is
> there a bug in numpy !?
No bug here ! see below !
> I remember that there was some discussion about resize !?
> What should I add
Hi!
I'm continuing my code conversion to numpy.
Trying to track down a segmentation fault I found
1) ndimage crashed because I was feeding (nan,nan) as shift value .
2) but where did I get the nan from ? I just found that there is code
like this: (*paraphrased*)
size = N.array( [255] )
size
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