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.
On Tue, Feb 12, 2013 at 5:49 AM, Ondřej Čertík ondrej.cer...@gmail.com 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
On 12 February 2013 10:55, Dominic Steinitz domi...@steinitz.org 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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NumPy-Discussion mailing list
On 12 February 2013 04:54, Davide Del Vento ddve...@ucar.edu 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]:
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
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 think
On 12 February 2013 14:58, Francesc Alted franc...@continuum.io 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.
On 2/12/13 3:18 PM, Daπid wrote:
On 12 February 2013 14:58, Francesc Alted franc...@continuum.io 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
On Tue, Feb 12, 2013 at 5:49 AM, Ondřej Čertík ondrej.cer...@gmail.com 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
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
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
On Tue, Feb 12, 2013 at 9:53 AM, Nicolas Rougier
nicolas.roug...@inria.frwrote:
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
On Tue, Feb 12, 2013 at 1:28 PM, Daπid davidmen...@gmail.com wrote:
On 12 February 2013 10:55, Dominic Steinitz domi...@steinitz.org 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.
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
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 nicolas.roug...@inria.fr
wrote:
Did I do something wrong or is it expected behavior ?
Try:
print
Hi Robert,
On Tue, Feb 12, 2013 at 2:40 AM, Robert Kern robert.k...@gmail.com wrote:
On Tue, Feb 12, 2013 at 5:49 AM, Ondřej Čertík ondrej.cer...@gmail.com
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
David,
On Tue, Feb 12, 2013 at 6:46 AM, David Cournapeau courn...@gmail.com wrote:
On Tue, Feb 12, 2013 at 5:49 AM, Ondřej Čertík ondrej.cer...@gmail.com
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
Neil Martinsen-Burrell nmb at 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'm
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