On Wed, Jul 2, 2008 at 23:56, David Cournapeau
[EMAIL PROTECTED] wrote:
On Wed, 2008-07-02 at 23:36 -0500, Robert Kern wrote:
Neither one has participated in this thread. At least, no such email
has made it to my inbox.
This was in the thread import numpy is slow, I mixed the two, sorry.
Ah
On Thu, 2008-07-03 at 01:25 -0500, Robert Kern wrote:
Before:
$ time python -c import numpy
python -c import numpy 0.30s user 0.82s system 91% cpu 1.232 total
Removal of finfo:
$ time python -c import numpy
python -c import numpy 0.27s user 0.82s system 94% cpu 1.156 total
Removal
Hardy, Core 2 Duo laptop, picking a typical score, warm disk caches.
Before:
maqroll[research] time python -c 'import numpy'
0.180u 0.032s 0:00.20 105.0%0+0k 0+0io 0pf+0w
After:
maqroll[research] time python -c 'import numpy'
0.100u 0.032s 0:00.12 108.3%0+0k 0+0io 0pf+0w
Definitely a
On Mon, Jun 30, 2008 at 18:32, Andrew Dalke [EMAIL PROTECTED] wrote:
Why does numpy/__init__.py need to import all of these other modules
and submodules? Any chance of cutting down on the number, in order
to improve startup costs?
Can you try the SVN trunk? In another thread (it must be numpy
2008/6/30 Robert Kern [EMAIL PROTECTED]:
On Mon, Jun 30, 2008 at 14:06, Alan McIntyre [EMAIL PROTECTED] wrote:
On Mon, Jun 30, 2008 at 2:55 PM, Robert Kern [EMAIL PROTECTED] wrote:
Add the doctests argument.
Where is the buildbot configuration kept?
I have not the slightest idea. Stéfan?
On Wed, Jul 02, 2008 at 10:55:12PM +0200, Stéfan van der Walt wrote:
2008/7/2 Zbyszek Szmek [EMAIL PROTECTED]:
That's Ticket #709 http://projects.scipy.org/scipy/numpy/ticket/709:
I'm faily sure that:
numpy.isnan(datetime.datetime.now()
...should just return False and not raise an
On Thu, Jul 3, 2008 at 3:16 AM, Stéfan van der Walt [EMAIL PROTECTED] wrote:
Sorry for the slow response, I'm still catching up.
I think if we turned on doctests right now, there would be about 100
test failures, so I've got plenty of my own catching up to do before
doctests really need to be
I am using numpy to create an array then filling some of the values using a
for loop, I was wondering if there is way to easily fill the values without
iterating through sort of like array.fill[start:stop,start:stop]? The
reason for my question is, in some cases, I might have to fill hundreds
On Thu, Jul 3, 2008 at 6:57 AM, Brain Stormer [EMAIL PROTECTED] wrote:
I am using numpy to create an array then filling some of the values using a
for loop, I was wondering if there is way to easily fill the values without
iterating through sort of like array.fill[start:stop,start
:stop]? The
On Thu, Jul 3, 2008 at 2:00 AM, Francesc Alted [EMAIL PROTECTED] wrote:
A Wednesday 02 July 2008, Charles R Harris escrigué:
On Wed, Jul 2, 2008 at 9:58 AM, Charles R Harris
[EMAIL PROTECTED]
wrote:
On Wed, Jul 2, 2008 at 7:12 AM, Francesc Alted
[EMAIL PROTECTED]
wrote:
On Thu, Jul 3, 2008 at 6:57 AM, Brain Stormer [EMAIL PROTECTED] wrote:
I am using numpy to create an array then filling some of the values
using a
for loop, I was wondering if there is way to easily fill the values
without
iterating through sort of like array.fill[start:stop,start
:stop]?
==
ERROR: test_ValidHTTP (test__datasource.TestDataSourceOpen)
--
Traceback (most recent call last):
File
A Thursday 03 July 2008, Charles R Harris escrigué:
On Thu, Jul 3, 2008 at 2:00 AM, Francesc Alted [EMAIL PROTECTED]
wrote:
A Wednesday 02 July 2008, Charles R Harris escrigué:
On Wed, Jul 2, 2008 at 9:58 AM, Charles R Harris
[EMAIL PROTECTED]
wrote:
On Wed, Jul 2, 2008 at 7:12
On Thu, Jul 3, 2008 at 6:19 PM, Charles R Harris
[EMAIL PROTECTED] wrote:
==
ERROR: test_ValidHTTP (test__datasource.TestDataSourceOpen)
--
Traceback (most
On Thu, Jul 3, 2008 at 10:27 AM, Francesc Alted [EMAIL PROTECTED] wrote:
A Thursday 03 July 2008, Charles R Harris escrigué:
On Thu, Jul 3, 2008 at 2:00 AM, Francesc Alted [EMAIL PROTECTED]
wrote:
A Wednesday 02 July 2008, Charles R Harris escrigué:
On Wed, Jul 2, 2008 at 9:58 AM,
A Thursday 03 July 2008, Charles R Harris escrigué:
On Thu, Jul 3, 2008 at 10:27 AM, Francesc Alted [EMAIL PROTECTED]
wrote:
A Thursday 03 July 2008, Charles R Harris escrigué:
On Thu, Jul 3, 2008 at 2:00 AM, Francesc Alted
[EMAIL PROTECTED]
wrote:
A Wednesday 02 July 2008,
On Thu, Jul 3, 2008 at 11:41, Neil Muller [EMAIL PROTECTED] wrote:
On Thu, Jul 3, 2008 at 6:19 PM, Charles R Harris
[EMAIL PROTECTED] wrote:
==
ERROR: test_ValidHTTP (test__datasource.TestDataSourceOpen)
On Thu, Jul 3, 2008 at 13:50, Robert Kern [EMAIL PROTECTED] wrote:
On Thu, Jul 3, 2008 at 11:41, Neil Muller [EMAIL PROTECTED] wrote:
On Thu, Jul 3, 2008 at 6:19 PM, Charles R Harris
[EMAIL PROTECTED] wrote:
==
ERROR:
On Thu, Jul 3, 2008 at 1:30 PM, Charles R Harris [EMAIL PROTECTED]
wrote:
Hmm,
On Thu, Jul 3, 2008 at 11:44 AM, Francesc Alted [EMAIL PROTECTED]
wrote:
snip
Ok. But str also represents differently the 0j:
In [24]: str(numpy.complex64(0))
Out[24]: '(0.0+0.0j)'
In [25]:
I have two 2d arrays a b for example:
a=array([c,d],[e,f])
b=array([g,h],[i,j])
Each of the elements of a b are actually 1d arrays of length N so I
guess technically a b have shape (2,2,N).
However I want to matrix multiply a b to create a 2d array x, where
the elements of x are created with
This is an interim status report on the Summer Documentation Marathon.
It is also an invitation and plea for all experienced users to
participate! I am cross-posting in an effort to get broader
participation. Please hold any discussion on the scipy-dev mailing
list.
As you know, our immediate
Just a couple of quick questions for whomever knows:
1. Should we skip the numpy/f2py directory when looking for doctests?
2. Are the functions in numpy/lib/convdtype.py used anywhere? I can
fix the doctests so they run, but I can't find anywhere they are used,
so I wanted to see if they were
On Thu, Jul 3, 2008 at 18:49, Alan McIntyre [EMAIL PROTECTED] wrote:
Just a couple of quick questions for whomever knows:
1. Should we skip the numpy/f2py directory when looking for doctests?
I don't see anything there that should cause problems (according to my
understanding of the
On Thu, Jul 3, 2008 at 8:26 PM, Robert Kern [EMAIL PROTECTED] wrote:
1. Should we skip the numpy/f2py directory when looking for doctests?
I don't see anything there that should cause problems (according to my
understanding of the collector). Are you seeing problems?
Actually it's a problem
On Thu, Jul 3, 2008 at 19:42, Alan McIntyre [EMAIL PROTECTED] wrote:
On Thu, Jul 3, 2008 at 8:26 PM, Robert Kern [EMAIL PROTECTED] wrote:
1. Should we skip the numpy/f2py directory when looking for doctests?
I don't see anything there that should cause problems (according to my
understanding
On Wed, Jul 02, 2008 at 10:55:12PM +0200, Stéfan van der Walt wrote:
I agree with Chuck's rationale [if someone asks me whether a peanut
butter sandwhich is a Koala bear, then I'd say no, without trying to
cast the sandwhich to a mammal],
Man, you need to get more sleep.
Gaël
On Fri, Jul 4, 2008 at 6:34 AM, Gael Varoquaux
[EMAIL PROTECTED] wrote:
On Wed, Jul 02, 2008 at 10:55:12PM +0200, Stéfan van der Walt wrote:
I agree with Chuck's rationale [if someone asks me whether a peanut
butter sandwhich is a Koala bear, then I'd say no, without trying to
cast the
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