On Jul 31, 2008, at 3:53 AM, David Cournapeau wrote:
You are supposed to run the tests on an installed numpy, not in the
sources:
import numpy
numpy.test(verbose = 10)
Doesn't that make things more cumbersome to test? That is, if I were
to make a change I would need to:
- python
Wed, 30 Jul 2008 18:49:10 +0300, Nadav Horesh wrote:
If you read the cov function documentation you'll see that if a second
vector is given, it joins the 2 into one matrix and calculate the
covariance of it. In your case, you are looking for the off-diagonal
elements.
So the final answer to
Hi All,
I've been reading this discussion with interest.
I would just to highlight an alternate use of numpy to interactive use. We
have a cluster of machines which process tasks on an individual basis where
a master tasks may spawn 600 slave tasks to be processed. These tasks are
spread across
On Thu, Jul 31, 2008 at 7:31 AM, Hanni Ali [EMAIL PROTECTED] wrote:
I would just to highlight an alternate use of numpy to interactive use. We
have a cluster of machines which process tasks on an individual basis where
a master tasks may spawn 600 slave tasks to be processed. These tasks are
Nathan Bell wrote:
There are other components of NumPy/SciPy that are more worthy of
optimization. Given that programmer time is a scarce resource, it's
more sensible to direct our efforts towards making the other 98.5% of
the computation faster.
To be fair, when I took a look at the
On Thu, Jul 31, 2008 at 5:36 AM, Andrew Dalke [EMAIL PROTECTED] wrote:
The user base for numpy might be .. 10,000 people? 100,000 people?
Let's go with the latter, and assume that with command-line scripts,
CGI scripts, and the other programs that people write in order to
help do research
A Thursday 31 July 2008, Matt Knox escrigué:
While on the topic of FAME... being a financial analyst, I really am
quite fond of the multitude of quarterly frequencies we have in the
timeseries package (with different year end points) because they are
very useful when doing things like
On Thu, Jul 31, 2008 at 03:41:15PM +0900, David Cournapeau wrote:
Yes. Nothing that an easy make file cannot solve, nonetheless (I am sure
I am not the only one with a makefile/script which automates the above,
to test a new svn updated numpy in one command).
That's why distutils have a test
On Thu, Jul 31, 2008 at 12:43:17PM +0200, Andrew Dalke wrote:
Startup performance has not been a numpy concern. It a concern for
me, and it has been (for other packages) a concern for some of my
clients.
I am curious, if startup performance is a problem, I guess it is because
you are
On Thu, Jul 31, 2008 at 1:14 AM, Pauli Virtanen [EMAIL PROTECTED] wrote:
Yes, the example on
http://www.scipy.org/Numpy_Example_List_With_Doc#cov
is wrong; cov(T,P) indeed returns a matrix. And it would be nice if
someone fixed this, you can simply register a wiki account and fix the
On Thu, Jul 31, 2008 at 2:12 AM, Andrew Dalke [EMAIL PROTECTED] wrote:
Hmm. And it looks like testing/nosetester.py (which implements the
'test' function above) is meant to make it easier to run nose, except
my feeling is the extra level of wrapping makes things more
complicated. The nosetest
Gael Varoquaux wrote:
That's why distutils have a test target. You can do python setup.py
test, and if you have setup you setup.py properly it should work
(obviously it is easy to make this statement, and harder to get the thing
working).
I have already seen some discussion about
On Thu, Jul 31, 2008 at 11:05:33PM +0900, David Cournapeau wrote:
Gael Varoquaux wrote:
That's why distutils have a test target. You can do python setup.py
test, and if you have setup you setup.py properly it should work
(obviously it is easy to make this statement, and harder to get the
Gael Varoquaux wrote:
Obviously, the build part has to be well-tuned for the machinery to work,
but there is a lot of value here.
Ah yes, setuptools does have this. But this is specific to setuptools,
bare distutils does not have this test command, right ?
cheers,
David
On Thu, Jul 31, 2008 at 10:14 AM, Gael Varoquaux
[EMAIL PROTECTED] wrote:
On Thu, Jul 31, 2008 at 12:43:17PM +0200, Andrew Dalke wrote:
Startup performance has not been a numpy concern. It a concern for
me, and it has been (for other packages) a concern for some of my
clients.
I am
On Thu, Jul 31, 2008 at 11:16:12PM +0900, David Cournapeau wrote:
Gael Varoquaux wrote:
Obviously, the build part has to be well-tuned for the machinery to work,
but there is a lot of value here.
Ah yes, setuptools does have this. But this is specific to setuptools,
bare distutils does
Hi,
I wanted to know if numpy was supposed to work when built in place
through the -i option of distutils. The reason why I am asking it that I
would like to support it in numscons, and I cannot make it work when
using distutils. Importing numpy works in the source tree, but most
tests fail
On Thu, Jul 31, 2008 at 10:34:04AM -0400, Kevin Jacobs [EMAIL PROTECTED]
wrote:
The morale of this discussion, for me, is that just because _you_ don't
care about a particular aspect or feature, doesn't mean that others don't
or shouldn't. Your workarounds may not be viable for me
On Wed, Jul 30, 2008 at 9:25 PM, Dave Peterson [EMAIL PROTECTED]wrote:
Hello,
I am very pleased to announce that Traits 3.0 has just been released!
All of the URLs on PyPi to Enthought seem to be broken (e.g.,
http://code.enthought.com/traits). Can you give an example showing how
traits
On Thu, Jul 31, 2008 at 10:38:42AM -0400, Kevin Jacobs [EMAIL PROTECTED]
wrote:
All of the URLs on PyPi to Enthought seem to be broken (e.g.,
[2]http://code.enthought.com/traits). Can you give an example showing how
traits work? I'm mildly intrigued, but too lazy to dig beyond the
Andrew Dalke wrote:
If I had my way, remove things like (in numpy/__init__.py)
import linalg
import fft
import random
import ctypeslib
import ma
as a side benefit, this might help folks using py2exe, py2app and
friends -- as it stands all those sub-modules need
Christopher Barker wrote:
On my OS-X box (10.4.11, python2.5, numpy '1.1.1rc2'), it takes about 7
seconds to import numpy!
Hot or cold ? If hot, there is something horribly wrong with your setup.
On my macbook, it takes ~ 180 ms to to python -c import numpy, and ~
100 ms on linux (same
Stéfan van der Walt wrote:
No one is *waiting* for NumPy to start.
I am, and probably 10 times, a day, yes.
And it's a major issue for CGI, though maybe no one's using that anymore
anyway.
Just by answering this
e-mail I could have (and maybe should have) started NumPy three
hundred and
David Cournapeau wrote:
Christopher Barker wrote:
On my OS-X box (10.4.11, python2.5, numpy '1.1.1rc2'), it takes about 7
seconds to import numpy!
Hot or cold ? If hot, there is something horribly wrong with your setup.
hot -- it takes about 10 cold.
I've been wondering about that.
time
On Thu, 31 Jul 2008 10:12:22 -0700
Christopher Barker [EMAIL PROTECTED] wrote:
David Cournapeau wrote:
Christopher Barker wrote:
On my OS-X box (10.4.11, python2.5, numpy '1.1.1rc2'),
it takes about 7
seconds to import numpy!
Hot or cold ? If hot, there is something horribly wrong
with
On Thu, Jul 31, 2008 at 1:12 PM, Christopher Barker
[EMAIL PROTECTED]wrote:
David Cournapeau wrote:
Christopher Barker wrote:
On my OS-X box (10.4.11, python2.5, numpy '1.1.1rc2'), it takes about 7
seconds to import numpy!
Hot or cold ? If hot, there is something horribly wrong with
Hi All,
I've attached draft release notes for Numpy 1.1.1. If you have anything to
add or correct, let me know.
Chuck
Numpy 1.1.1 is a bug fix release featuring major improvements in Python 2.3.x
compatibility and masked arrays.
Python 2.3.x fixes
Robert Kern -- remove developement
A Thursday 31 July 2008, Alan G Isaac escrigué:
A Thursday 31 July 2008, Matt Knox escrigué:
While on the topic of FAME... being a financial analyst, I really
am quite fond of the multitude of quarterly frequencies we have in
the timeseries package (with different year end points) because
On Thu, Jul 31, 2008 at 8:18 AM, David Cournapeau
[EMAIL PROTECTED] wrote:
Hi,
I wanted to know if numpy was supposed to work when built in place
through the -i option of distutils. The reason why I am asking it that I
would like to support it in numscons, and I cannot make it work when
Thu, 31 Jul 2008 12:12:54 -0600, Charles R Harris wrote:
Hi All,
I've attached draft release notes for Numpy 1.1.1. If you have anything
to add or correct, let me know.
[clip]
Bug fixes
#854, r5456?
--
Pauli Virtanen
___
Numpy-discussion
hot -- it takes about 10 cold.
I've been wondering about that.
time python -c import numpy
real0m8.383s
user0m0.320s
sys 0m7.805s
and similar results if run multiple times in a row.
What does python -c import sys; print sys.path say ?
Any idea what could be wrong? I have
On Thu, Jul 31, 2008 at 12:23 PM, Pauli Virtanen [EMAIL PROTECTED] wrote:
Thu, 31 Jul 2008 12:12:54 -0600, Charles R Harris wrote:
Hi All,
I've attached draft release notes for Numpy 1.1.1. If you have anything
to add or correct, let me know.
[clip]
Bug fixes
#854, r5456?
On Thu, Jul 31, 2008 at 10:12:22AM -0700, Christopher Barker wrote:
I've been wondering about that.
time python -c import numpy
real0m8.383s
user0m0.320s
sys 0m7.805s
I don't know what is wrong, but this is plain wrong, unless you are on a
distant file system, or something
Chuck,
Can you remove the entry
Pierre GM -- masked array, improved support for flexible dtypes.
from General Improvements ?
The work was done for 1.2 and not completely backported, so that's not really
a lot of improvements. It will for 1.2, however: when is this one supposed to
be released ?
On Thu, Jul 31, 2008 at 07:46:20AM -0500, Nathan Bell wrote:
On Thu, Jul 31, 2008 at 7:31 AM, Hanni Ali [EMAIL PROTECTED] wrote:
I would just to highlight an alternate use of numpy to interactive use. We
have a cluster of machines which process tasks on an individual basis where
a master
On Thu, Jul 31, 2008 at 05:43, Andrew Dalke [EMAIL PROTECTED] wrote:
On Jul 31, 2008, at 12:03 PM, Robert Kern wrote:
But you still can't remove them since they are being used inside
numerictypes. That's why I labeled them internal utility functions
instead of leaving them with minimal
On Thu, Jul 31, 2008 at 09:18, David Cournapeau
[EMAIL PROTECTED] wrote:
Hi,
I wanted to know if numpy was supposed to work when built in place
through the -i option of distutils. The reason why I am asking it that I
would like to support it in numscons, and I cannot make it work when
On Fri, Aug 1, 2008 at 5:02 AM, Robert Kern [EMAIL PROTECTED] wrote:
5) Proxy objects ... I would really like to avoid proxy objects. They
have caused fragility in the past.
One recurrent problem around import times optimization is that it is
some work to improve it, but it takes one line to
I don't see a place to submit patches. Is there a patch manager for
numpy?
Here's a patch to defer importing 'tempfile' until needed. I
previously mentioned one other place that didn't need tempfile. With
this there is no 'import tempfile' during 'import numpy'
This improves startup by
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