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 w
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 to
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
On Thu, 2008-07-03 at 13:56 +0900, David Cournapeau wrote:
>
> Ok, will do it, then.
I put the patches in ticket 838. I tried to commit the changes directly,
but it looks like they disabled some proxy settings necessary to commit
to svn at my company.
On my computer, the changes cut 1/3 of total
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.
>
> I think it's worth moving these imports into the functions, then.
On Wed, Jul 2, 2008 at 23:14, David Cournapeau
<[EMAIL PROTECTED]> wrote:
> On Wed, 2008-07-02 at 21:50 -0500, Robert Kern wrote:
>>
>> So ... what were you referring to?
>
> To a former email from Matthieu in this thread (or Stefan ?).
Neither one has participated in this thread. At least, no suc
On Wed, 2008-07-02 at 21:50 -0500, Robert Kern wrote:
>
> So ... what were you referring to?
To a former email from Matthieu in this thread (or Stefan ?).
>
> There is special purpose code, yes. We used to use it to load proxy
> objects for scipy subpackages such that "import scipy" would have
On Wed, Jul 2, 2008 at 21:38, David Cournapeau
<[EMAIL PROTECTED]> wrote:
> On Wed, 2008-07-02 at 21:21 -0500, Robert Kern wrote:
>> On Wed, Jul 2, 2008 at 20:23, David Cournapeau
>> <[EMAIL PROTECTED]> wrote:
>>
>> > I think that import numpy.core being slower than import numpy is a bug
>> > which
On Wed, 2008-07-02 at 21:21 -0500, Robert Kern wrote:
> On Wed, Jul 2, 2008 at 20:23, David Cournapeau
> <[EMAIL PROTECTED]> wrote:
>
> > I think that import numpy.core being slower than import numpy is a bug
> > which can be solved without breaking anything, though.
>
> It does not appear to be
On Wed, Jul 2, 2008 at 20:23, David Cournapeau
<[EMAIL PROTECTED]> wrote:
> I think that import numpy.core being slower than import numpy is a bug
> which can be solved without breaking anything, though.
It does not appear to be slower to me.
--
Robert Kern
"I have come to believe that the who
On Wed, 2008-07-02 at 17:00 -0700, Michael McNeil Forbes wrote:
>
> One could use an environmental variable such as
> NUMPY_SUPPRESS_TOP_LEVEL_IMPORTS, that, if defined, suppresses the
> importing of unneeded packages. This would only affect systems that
> define this variable, thus not bre
On 2 Jul 2008, at 3:59 PM, Robert Kern wrote:
> On Wed, Jul 2, 2008 at 17:43, Nathan Jensen
> <[EMAIL PROTECTED]> wrote:
>> Hi,
>>
>> I was wondering if there was any way to speed up the global import of
>> numpy modules. For a simple import numpy, it takes ~250 ms. In
>> comparison, importing
On Wed, Jul 2, 2008 at 17:43, Nathan Jensen <[EMAIL PROTECTED]> wrote:
> Hi,
>
> I was wondering if there was any way to speed up the global import of
> numpy modules. For a simple import numpy, it takes ~250 ms. In
> comparison, importing Numeric is only taking 40 ms. It appears that
> even if
Hi,
I was wondering if there was any way to speed up the global import of
numpy modules. For a simple import numpy, it takes ~250 ms. In
comparison, importing Numeric is only taking 40 ms. It appears that
even if you only import a numpy submodule, it loads all the libraries,
resulting in the pa
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