On 9/8/11 1:43 PM, Christopher Jordan-Squire wrote:
> I just ran a quick test on my machine of this idea. With
>
> dt = np.dtype([('x',np.float32),('y', np.int32),('z', np.float64)])
> temp = np.empty((), dtype=dt)
> temp2 = np.zeros(1,dtype=dt)
>
> In [96]: def f():
> ...: l=[0]*3
>
On Wed, Sep 7, 2011 at 2:52 PM, Chris.Barker wrote:
> On 9/2/11 2:45 PM, Christopher Jordan-Squire wrote:
>> It doesn't have to parse the entire file to determine the dtypes. It
>> builds up a regular expression for what it expects to see, in terms of
>> dtypes. Then it just loops over the lines,
Probably has something to do with 'arr' having a statically defined type of
cnp.ndarray.
-Mark
On Thu, Sep 8, 2011 at 12:59 PM, Ralf Gommers
wrote:
> Hi,
>
> There's a test failure in scipy/io/matlab/mio_utils that shows up with
> numpy master but not 1.5.1, see
> http://projects.scipy.org/scipy
Hi,
There's a test failure in scipy/io/matlab/mio_utils that shows up with numpy
master but not 1.5.1, see http://projects.scipy.org/scipy/ticket/1512
I have a fix here:
https://github.com/rgommers/scipy/commit/4ade7829649b9e2c251f5f7f370781b16fc13612,
but I don't really understand why the code is
On 08/09/2011 16:16, Jim Vickroy wrote:
> On 9/8/2011 6:09 AM, "V. Armando Solé" wrote:
>> Have you tried to install Visual Studio 2008 Express edition (plus the
>> windows SDK to be able to compile 64 bit code)?
>>
>> Armando
> Armando, "Visual Studio 2008 Professional" is installed on the compute
On 9/8/2011 6:09 AM, "V. Armando Solé" wrote:
> Have you tried to install Visual Studio 2008 Express edition (plus the
> windows SDK to be able to compile 64 bit code)?
>
> Armando
Armando, "Visual Studio 2008 Professional" is installed on the computer
as well as "Intel Visual Fortran Composer XE
Have you tried to install Visual Studio 2008 Express edition (plus the
windows SDK to be able to compile 64 bit code)?
Armando
On 08/09/2011 13:56, Jim Vickroy wrote:
> Hello All, I'm attempting to create a python wrapper, for a Fortran
> subroutine, using f2py.
>
> My system details are:
>
>
Hello All, I'm attempting to create a python wrapper, for a Fortran
subroutine, using f2py.
My system details are:
>>> sys.version '2.6.4 (r264:75708, Oct 26 2009, 08:23:19) [MSC v.1500
32 bit (Intel)]'
>>> sys.getwindowsversion() (5, 1, 2600, 2, 'Service Pack 3')
>>> scipy.__version__ '0.7.
There is much more simple: the command nosetests numpy
Of course, nosetests needs to be installed...
Cheers
JB
Le 7 sept. 2011 à 23:44, Chris Kees a écrit :
> Hi Derek,
>
> Thanks! I forgot that python would exit with 0 even if numpy.test()
> fails. That could have taken a while to realize.
>
Wed, 07 Sep 2011 12:52:44 -0700, Chris.Barker wrote:
[clip]
> In [9]: temp['x'] = 3
>
> In [10]: temp['y'] = 4
>
> In [11]: temp['z'] = 5
[clip]
> maybe it wouldn't be any faster, but with re-using temp, and one less
> list-tuple conversion, and fewer python type to numpy type conversions,
> mayb
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