Hi Jarrod,
On Tue, May 6, 2008 at 2:40 AM, Jarrod Millman <[EMAIL PROTECTED]> wrote:
> Hey,
>
> The trunk is in pretty good shape and it is about time that I put out
> an official release. So tomorrow (in a little over twelve hours) I am
> going to create a 1.1.x branch and the trunk will be off
On Wed, 2008-05-07 at 08:30 -0500, James Snyder wrote:
> Hi -
>
> I'm not sure if this is a bug or an error on my part. I've grabbed
> the latest subversion truck and did a build and install on 10.5.2, and
> I'm getting malloc errors when running the tests. Sorry about the
> revision being loppe
On Wed, May 7, 2008 at 6:19 PM, Anne Archibald <[EMAIL PROTECTED]>
wrote:
> 2008/5/7 Charles R Harris <[EMAIL PROTECTED]>:
> >
> > On Wed, May 7, 2008 at 5:31 PM, Anne Archibald <
> [EMAIL PROTECTED]>
> > wrote:
> > > Ah. Good point. I did find a bug - x[:,0] doesn't do what you'd
> > > expect. Be
2008/5/7 Charles R Harris <[EMAIL PROTECTED]>:
>
> Heh, I just added some tests to 1.2 before closing ticket #707. They should
> probably be merged with yours.
Seems a shame:
Ran 1000 tests in 5.329s
Such a nice round number!
Anne
___
Numpy-discussion
On Wed, May 7, 2008 at 6:17 PM, Anne Archibald <[EMAIL PROTECTED]>
wrote:
> 2008/5/7 Anne Archibald <[EMAIL PROTECTED]>:
> > 2008/5/7 Charles R Harris <[EMAIL PROTECTED]>:
> >
> > > On Wed, May 7, 2008 at 11:44 AM, Anne Archibald <
> [EMAIL PROTECTED]>
> > > wrote:
> > > > 2008/5/7 Jarrod Millm
2008/5/7 Charles R Harris <[EMAIL PROTECTED]>:
>
> On Wed, May 7, 2008 at 5:31 PM, Anne Archibald <[EMAIL PROTECTED]>
> wrote:
> > Ah. Good point. I did find a bug - x[:,0] doesn't do what you'd
> > expect. Best not release without either backing out my change. I'm
> > still trying to track down wh
2008/5/7 Anne Archibald <[EMAIL PROTECTED]>:
> 2008/5/7 Charles R Harris <[EMAIL PROTECTED]>:
>
> > On Wed, May 7, 2008 at 11:44 AM, Anne Archibald <[EMAIL PROTECTED]>
> > wrote:
> > > 2008/5/7 Jarrod Millman <[EMAIL PROTECTED]>:
> > >
> > > > I have just created the 1.1.x branch:
> > > > ht
On Wed, May 7, 2008 at 5:31 PM, Anne Archibald <[EMAIL PROTECTED]>
wrote:
> 2008/5/7 Charles R Harris <[EMAIL PROTECTED]>:
>
> > On Wed, May 7, 2008 at 11:44 AM, Anne Archibald <
> [EMAIL PROTECTED]>
> > wrote:
> > > 2008/5/7 Jarrod Millman <[EMAIL PROTECTED]>:
> > >
> > > > I have just created th
2008/5/7 Charles R Harris <[EMAIL PROTECTED]>:
> On Wed, May 7, 2008 at 11:44 AM, Anne Archibald <[EMAIL PROTECTED]>
> wrote:
> > 2008/5/7 Jarrod Millman <[EMAIL PROTECTED]>:
> >
> > > I have just created the 1.1.x branch:
> > > http://projects.scipy.org/scipy/numpy/changeset/5134
> > > In about
Hi all,
I am writing an embedded python application in C/C++ with the following
features:
1. The user is able to execute python commands (works fine with
PyRun_SimpleString)
2. I want the user to be able to load C objects from C into the current python
interpreter, so that the user is able to
On Wed, May 7, 2008 at 2:54 PM, Robert Kern <[EMAIL PROTECTED]> wrote:
> On Wed, May 7, 2008 at 3:51 PM, Christopher Hanley <[EMAIL PROTECTED]>
> wrote:
> > Hi,
> >
> > I've noticed that I am no longer receiving message from the
> numpy-ticket
> > distribution list. This includes messages for t
2008/5/7 Pierre GM <[EMAIL PROTECTED]>:
> On Wednesday 07 May 2008 20:38:22 Anne Archibald wrote:
> > 2008/5/7 Pierre GM <[EMAIL PROTECTED]>:
> > > All,
> > > Yes, there is a problem with ma.power: masking negative data should be
> > > restricted to the case of an exponent between -1. and 1.
2008/5/7 Jonathan Wright <[EMAIL PROTECTED]>:
> Is there a rule against squaring away the negatives?
>
> def not_your_normal_pow( x, y ): return exp( log( power( x, 2) ) * y / 2 )
>
> Which still needs some work for x==0.
Well, it means (-1.)**(3.) becomes 1., which is probably not what the
us
Anne Archibald wrote:
> 2008/5/7 Pierre GM <[EMAIL PROTECTED]>:
>
>> All,
>> Yes, there is a problem with ma.power: masking negative data should be
>> restricted to the case of an exponent between -1. and 1. only, don't you
>> think ?
>>
>
> No, there's a problem with any fractional expo
On Wed, May 7, 2008 at 3:58 PM, Keith Goodman <[EMAIL PROTECTED]> wrote:
> On Wed, May 7, 2008 at 1:37 PM, Robert Kern <[EMAIL PROTECTED]> wrote:
> > On Wed, May 7, 2008 at 3:24 PM, Keith Goodman <[EMAIL PROTECTED]> wrote:
> > > >> np.isscalar('string')
> > >True
> >
> > Either option
On Wed, May 7, 2008 at 1:37 PM, Robert Kern <[EMAIL PROTECTED]> wrote:
> On Wed, May 7, 2008 at 3:24 PM, Keith Goodman <[EMAIL PROTECTED]> wrote:
> > >> np.isscalar('string')
> >True
>
> Either option would cause someone to complain. It's not a
> cut-and-dry issue. However, since strings c
On Wednesday 07 May 2008 20:38:22 Anne Archibald wrote:
> 2008/5/7 Pierre GM <[EMAIL PROTECTED]>:
> > All,
> > Yes, there is a problem with ma.power: masking negative data should be
> > restricted to the case of an exponent between -1. and 1. only, don't you
> > think ?
>
> No, there's a problem
On Wed, May 7, 2008 at 3:51 PM, Christopher Hanley <[EMAIL PROTECTED]> wrote:
> Hi,
>
> I've noticed that I am no longer receiving message from the numpy-ticket
> distribution list. This includes messages for tickets I have submitted
> in addition to tickets created by others.
I'll pass this a
Hi,
I've noticed that I am no longer receiving message from the numpy-ticket
distribution list. This includes messages for tickets I have submitted
in addition to tickets created by others.
Chris
--
Christopher Hanley
Systems Software Engineer
Space Telescope Science Institute
3700 San Marti
2008/5/7 Pierre GM <[EMAIL PROTECTED]>:
> All,
> Yes, there is a problem with ma.power: masking negative data should be
> restricted to the case of an exponent between -1. and 1. only, don't you
> think ?
No, there's a problem with any fractional exponent (with even
denominator): x**(3/2) == (x
On Wed, May 7, 2008 at 3:24 PM, Keith Goodman <[EMAIL PROTECTED]> wrote:
> >> np.isscalar('string')
>True
Either option would cause someone to complain. It's not a
cut-and-dry issue. However, since strings can be atomic elements
through the various '|S' dtypes, and we already have rules to
sp
>> np.isscalar('string')
True
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All,
Yes, there is a problem with ma.power: masking negative data should be
restricted to the case of an exponent between -1. and 1. only, don't you
think ?
On Wednesday 07 May 2008 18:47:18 Anne Archibald wrote:
> 2008/5/7 Eric Firing <[EMAIL PROTECTED]>:
> > Charles Doutriaux wrote:
> > > The
2008/5/7 Eric Firing <[EMAIL PROTECTED]>:
> Charles Doutriaux wrote:
> > The following code works with numpy.ma but not numpy.oldnumeric.ma,
>
> No, this is a bug in numpy.ma also; power is broken:
While it's tempting to just call power() and mask out any NaNs that
result, that's going to be a p
Charles Doutriaux wrote:
> The following code works with numpy.ma but not numpy.oldnumeric.ma,
No, this is a bug in numpy.ma also; power is broken:
In [1]:import numpy as np
In [2]:x = np.ma.array([-1.1])
In [3]:x**2.0 ### This works
Out[3]:
masked_array(data = [1.21],
On Wed, May 7, 2008 at 11:44 AM, Anne Archibald <[EMAIL PROTECTED]>
wrote:
> 2008/5/7 Jarrod Millman <[EMAIL PROTECTED]>:
> > I have just created the 1.1.x branch:
> > http://projects.scipy.org/scipy/numpy/changeset/5134
> > In about 24 hours I will tag the 1.1.0 release from the branch. At
> >
2008/5/7 Jarrod Millman <[EMAIL PROTECTED]>:
> I have just created the 1.1.x branch:
> http://projects.scipy.org/scipy/numpy/changeset/5134
> In about 24 hours I will tag the 1.1.0 release from the branch. At
> this point only critical bug fixes should be applied to the branch.
> The trunk is
The following code works with numpy.ma but not numpy.oldnumeric.ma,
obviously it shouldn't have missing values...
Note that replacing 2. with 2 (int) works, dtype does not seem to matter
import numpy.oldnumeric.ma as MA,numpy
s = MA.array([ 12.16271591, 11.19478798, 10.27440453, 9.60334778,
9.
I noticed that scipy.org uses google-analytics. Does the numpy
project need it? It is even on the numpy trac which to me gives new
meaning to trac.
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2008/5/7 Albert Strasheim <[EMAIL PROTECTED]>:
> Even better: let the Buildbot do it.
>
> You should see some Valgrind output appearing in the testing output of
> the Linux_x86_Fedora_Py2.6 builder soon. I'll probably have to tune
> things a bit to make it go green/red in the right situations.
Hello,
On Wed, May 7, 2008 at 3:42 PM, Albert Strasheim <[EMAIL PROTECTED]> wrote:
> Might be a bit late now, but are you (or is someone) still Valgrinding
> NumPy on a semi-regular basis, or at least before a release?
Even better: let the Buildbot do it.
You should see some Valgrind output ap
Hello,
On Wed, May 7, 2008 at 8:12 AM, Jarrod Millman <[EMAIL PROTECTED]> wrote:
> I have just created the 1.1.x branch:
> http://projects.scipy.org/scipy/numpy/changeset/5134
> In about 24 hours I will tag the 1.1.0 release from the branch. At
> this point only critical bug fixes should be ap
Hi -
I'm not sure if this is a bug or an error on my part. I've grabbed the
latest subversion truck and did a build and install on 10.5.2, and I'm
getting malloc errors when running the tests. Sorry about the revision
being lopped off the Numpy version, I'm current up to r5133, but I'm using
git
Hi,
The array I was using is indeed from a pickle. I ran the c example, and got
the following:
$ LD_PRELOAD=/usr/lib/sse2/libcblas.so.3.0 ./sse2-crash-test
good_align: ok
bad_align: Segmentation fault (core dumped)
$ LD_PRELOAD=/usr/lib/libcblas.so.3.0 ./sse2-crash-test
good_align: ok
bad_align:
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