Neil Martinsen-Burrell wartburg.edu> writes:
>
> On 2009-05-29 10:12 , David Froger wrote:
> > I think the FortranFile class is not intended to read arrays written
> > with the syntax 'write(11) array1, array2, array3' (correct me if I'm
> > wrong). This is the use in the laboratory where I
David,
On Tue, Feb 12, 2013 at 6:46 AM, David Cournapeau wrote:
> On Tue, Feb 12, 2013 at 5:49 AM, Ondřej Čertík
> wrote:
>> Hi,
>>
>> I have uploaded the NumPy 1.7.0 source distribution to pypi:
>>
>> http://pypi.python.org/pypi/numpy/1.7.0
>>
>> I did it by uploading the file PKG-INFO from nu
Hi Robert,
On Tue, Feb 12, 2013 at 2:40 AM, Robert Kern wrote:
> On Tue, Feb 12, 2013 at 5:49 AM, Ondřej Čertík
> wrote:
>> Hi,
>>
>> I have uploaded the NumPy 1.7.0 source distribution to pypi:
>>
>> http://pypi.python.org/pypi/numpy/1.7.0
>>
>> I did it by uploading the file PKG-INFO from num
I did not know that. Thanks for the clear explanation.
Nicolas
On Feb 12, 2013, at 19:25 , Jaime Fernández del Río wrote:
> On Tue, Feb 12, 2013 at 9:53 AM, Nicolas Rougier
> wrote:
> Did I do something wrong or is it expected behavior ?
>
> Try:
>
> print (Z.view('f4'))[:50].base.base is
Hello all,
I was able to successfully embed python code into C code. The basic
skeleton is something like this :
In C code :
PyObject *pName, *pModule, *pFunc,*pArgs,*pReturn;
PyArrayObject *cusForce;
Py_Initialize();
import_array(); // required while using numpy arrays in C
// Call some
On Tue, Feb 12, 2013 at 1:28 PM, Daπid wrote:
> On 12 February 2013 10:55, Dominic Steinitz wrote:
> > Running unit tests for numpy
> > NumPy version 1.8.0.dev-4600b2f
>
> I can see this is not the stable version, try the 1.7 that has been
> just released.
Sending the full output of this test
On Tue, Feb 12, 2013 at 9:53 AM, Nicolas Rougier
wrote:
> Did I do something wrong or is it expected behavior ?
>
Try:
print (Z.view('f4'))[:50].base.base is Z # True
print Z[:50].view('f4').base.base is Z # True
This weird behaviour is fixed in the just-released numpy 1.7. From the
notes of
Hi,
I'm trying to get a view on a sliced array without copy but I'm not able to do
it as illustrated below:
dtype = np.dtype( [('color', 'f4', 4)] )
Z = np.zeros(100, dtype=dtype)
print Z.view('f4').base is Z# True
print Z[:50].base is Z # True
print (Z.view('f4'))[:50]
I should have added:
$ lsb_release -a
LSB Version:
:core-4.0-amd64:core-4.0-noarch:graphics-4.0-amd64:graphics-4.0-noarch:printing-4.0-amd64:printing-4.0-noarch
Distributor ID: RedHatEnterpriseServer
Description:Red Hat Enterprise Linux Server release 6.2 (Santiago)
Release:6.2
Codena
On Tue, Feb 12, 2013 at 5:49 AM, Ondřej Čertík wrote:
> Hi,
>
> I have uploaded the NumPy 1.7.0 source distribution to pypi:
>
> http://pypi.python.org/pypi/numpy/1.7.0
>
> I did it by uploading the file PKG-INFO from numpy-1.7.0.tar.gz. It
> said "Error processing form. Form Failure; reset form s
On 2/12/13 3:18 PM, Daπid wrote:
> On 12 February 2013 14:58, Francesc Alted wrote:
>> Yes, I think that's expected. Just to make sure, can you send some
>> excerpts of the errors that you are getting?
> Actually the errors are at the beginning of the process, so they are
> out of the reach of my
On 12 February 2013 14:58, Francesc Alted wrote:
> Yes, I think that's expected. Just to make sure, can you send some
> excerpts of the errors that you are getting?
Actually the errors are at the beginning of the process, so they are
out of the reach of my terminal right now. Seems like pip doesn
On 2/12/13 1:37 PM, Daπid wrote:
> I have just upgraded numpy with pip on Linux 64 bits with Python 2.7,
> and I got *a lot* of output, so much it doesn't fit in the terminal.
> Most of it are gcc commands, but there are many different errors
> thrown by the compiler. Is this expected?
Yes, I thin
I have just upgraded numpy with pip on Linux 64 bits with Python 2.7,
and I got *a lot* of output, so much it doesn't fit in the terminal.
Most of it are gcc commands, but there are many different errors
thrown by the compiler. Is this expected?
I am not too worried as the test suite passes, but p
On 12 February 2013 04:54, Davide Del Vento wrote:
> Ran 3587 tests in 22.211s
> FAILED (KNOWNFAIL=5, SKIP=11, failures=2)
>
> Whereas in a remote batch node (with a script) I get:
>
> Ran 3229 tests in 15.642s
> OK (KNOWNFAIL=5, SKIP=19)
On my machine (linux 64 bits)
In [3]: np.test('full')
Run
On 12 February 2013 10:55, Dominic Steinitz wrote:
> Running unit tests for numpy
> NumPy version 1.8.0.dev-4600b2f
I can see this is not the stable version, try the 1.7 that has been
just released.
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On Tue, Feb 12, 2013 at 5:49 AM, Ondřej Čertík wrote:
> Hi,
>
> I have uploaded the NumPy 1.7.0 source distribution to pypi:
>
> http://pypi.python.org/pypi/numpy/1.7.0
>
> I did it by uploading the file PKG-INFO from numpy-1.7.0.tar.gz. It
> said "Error processing form. Form Failure; reset form s
Apologies if this is the wrong mailing list.
I have installed bumpy using the excellent script here:
http://fonnesbeck.github.com/ScipySuperpack/
I ran numpy.test('full') and got several errors. Should I be worried?
Thanks, Dominic.
PS I can send the full errors if that would be helpful.
>>>
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