[Numpy-discussion] Questions about masked arrays

[Gökhan Sever]

Created the ticket http://projects.scipy.org/numpy/ticket/1253

Could you tell me briefly what was the source of leak in arccos case?

And how do you write a test code for these cases?

On Tue, Oct 6, 2009 at 10:15 PM, Pierre GM <pgmdevlist at gmail.com> wrote:

>
> On Oct 6, 2009, at 10:58 PM, Gökhan Sever wrote:
> >
> > I see your points. I don't want to give you extra work, don't
> > worry :) It just seem a bit bizarre:
> >
> > I[27]: c.data['Air_Temp'].fill_value
> > O[27]: 999999.99990000005
> >
> > I[28]: c.data['Air_Temp'][4].fill_value
> > O[28]: 1e+20
> >
> > As you see, it just returns two different fill_values.
>
> I know, but I hope you see the difference : in the first line, you
> access the `fill_value` of the array. In the second, you access the
> `fill_value` of the `masked` constant. Each time you access a masked
> element of an array with __getitem__, you get the masked constant. We
> could force the constant to inherit the fill_value of the array that
> calls __getitem__, but it'd be propagated.
>
> > I know eventually you will be the one handling this :) it might be
> > good to add this issue to the tracker.
>
> Go for it, but don't expect anything before the release of 1.4.0 (in
> the next few months)
>
> >
> > > This is the last resort. I will eventually try this if I don't any
> > > other options left.
> >
> > I gonna have difficulties fixing something that I don't see broken...
> > Now, there might be something wrong in my installation. I gonna try to
> > install 1.3.0 somwehere. say, what Python are you using ?
> >
> > OK, I use meld to diff my copy of ma/core.py with the latest trunk
> > version. There are lots of differences :) So there is a possibility
> > that I might have built my local numpy before 09/08. I should renew
> > my copy. Do you know the link of svn browser for the numpy? I don't
> > know how you are making separate installations without overriding
> > other package? I either use Sage (if I have extra time) or SPD. They
> > are both shipped with numpy 1.3.0.
>
> Make yourself a favor and install virtualenv and virtualenvwrapper.
> That way, several versions of the same package can coexist without
> interference. Oh, and install pip till you're at it:
>
> http://pypi.python.org/pypi/virtualenv
> http://www.doughellmann.com/projects/virtualenvwrapper/
> http://pypi.python.org/pypi/pip
>
>
>
>
>
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>



-- 
Gökhan
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