Fadhley Salim schrieb:
> So what is the official way to compile Numpy 1.3.0 for Python 2.4.x?
> If Visual Studio 2003 will not compile it and nothing else is
> intended to work, then surely nothing will work? That cannot be
> right.
>
> PS. Perhaps there is another way to do it... compiling for me
Thomas Heller schrieb:
>> Sturla Molden schrieb:
>>> On 3/26/2009 12:41 PM, Jens Rantil wrote:
>>>
>>>> Wouldn't my code, or a tweak of it, be a nice feature in
>>>> numpy.ctypeslib? Is this the wrong channel for proposing things like
ok at
>>
>> http://svn.scipy.org/svn/numpy/trunk/numpy/ctypeslib.py
>>
>> you will see that it does almost the same. I think it would be better to
>> work out why ndpointer fails as restype and patch that.
>
Thomas Heller schrieb:
> ndpointer(...), which ret
Sturla Molden schrieb:
> On 3/26/2009 12:41 PM, Jens Rantil wrote:
>
>> Wouldn't my code, or a tweak of it, be a nice feature in
>> numpy.ctypeslib? Is this the wrong channel for proposing things like
>> this?
>
> If you look at
>
> http://svn.scipy.org/svn/numpy/trunk/numpy/ctypeslib.py
>
David Cournapeau schrieb:
> Thomas Heller wrote:
>>
>> Well, the first question is: What does happen when I install the SSE3
>> version
>> (or how it's called) on my machine, use py2exe to build an app, and this
>> app runs on a SSE2 machine - degraded p
[Thomas]
>> If I now build applications using numpy with py2exe for distribution,
>> what will happen on the target computers if the components are not 'right'
>> for the actual machine type?
[David]
> Note that the superpack is actually quite primitive: it is a nsis
> installer which encompasses
Jarrod Millman schrieb:
> I'm pleased to announce the release of NumPy 1.2.0.
>
I see that the windows installer is now a superkac installer,
which AFAIU selects the 'right' components for the target computer
at install time.
If I now build applications using numpy with py2exe for distribution,
I have a numpy array comtaining numbers (a, b, ...), like this:
array([a, b, c, d, e, f])
What is the fastest way to create another array that has the index
of the element before each element of the original array?
The result should look like this:
array([0, a, 1, b, 2, c, 3, d, 4, e, 5, f])
-
Pauli Virtanen schrieb:
> Hi,
>
> The buildbot slave Windows_XP_x86_64_MSVC seems to have some bogus files
> left over in its installation directory (in numpy\doc\) which cause the
> tests to fail.
>
> Removing the installation directory probably helps.
>
It did.
--
Thanks,
Thomas
Stéfan van der Walt schrieb:
> Hi all,
>
> Due to hardware failure, we recently lost another of our build slaves.
> OSX is one of our primary deployment platforms, so I'd like to
> replace this one. If you have a mac available with good network
> connectivity, please consider volunteering it as
I'm going to have a 2 or 3-weeks vacation, and will shut down
the Windows_XP_x86_64_MSVC during this time. I will restart it
when I come back, sorry for the inconvenience.
Thanks,
Thomas
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Travis E. Oliphant schrieb:
> Thomas Heller wrote:
>> Travis E. Oliphant schrieb:
>>
>>> Thomas Heller wrote:
>>>
>>>> I am experimenting with implementing __array_interface__ and/or
>>>> __array_struct__
>>>> prop
Travis E. Oliphant schrieb:
> Thomas Heller wrote:
>> I am experimenting with implementing __array_interface__ and/or
>> __array_struct__
>> properties for ctypes instances, and have problems to create numpy arrays
>> from them that share the memory. Probably I'
I am experimenting with implementing __array_interface__ and/or __array_struct__
properties for ctypes instances, and have problems to create numpy arrays
from them that share the memory. Probably I'm doing something wrong;
what is the correct function in numpy to create these shared objects?
I a
Stefan van der Walt schrieb:
> http://buildbot.scipy.org
>
> If your platform is not currently on the list, please consider
> volunteering a machine as a build slave. This machine will be
> required to run the buildbot client, and to build a new version of
> numpy whenever changes are made to the
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