On Tue, May 29, 2012 at 7:42 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Mon, May 28, 2012 at 9:18 PM, josef.p...@gmail.com wrote:
https://github.com/numpy/numpy/commit/74b9f5eef8fac643bf9012dbb2ac6b4b19f46892
broke return_inverse for structured arrays, because of the use of
Hi all,
I'm trying to hide the actual python callback function on the fortran side
as well as on the python side.
See the example: I want f1 to be the wrapper of my callback, f2 is a
second level where the user has no arg to pass. But if I call f2, for
example in f3, the callback is 'propagated'
I'd like to include the _cook_nd_args() function from fftpack in my GPL
code. Is this possible?
How should I modify my license file to satisfy the Numpy license
requirements, but so it's clear which function it applies to?
Thanks,
Henry
___
On Wed, May 30, 2012 at 4:59 AM, Nathaniel Smith n...@pobox.com wrote:
On Tue, May 29, 2012 at 7:42 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Mon, May 28, 2012 at 9:18 PM, josef.p...@gmail.com wrote:
On Wed, May 30, 2012 at 4:13 PM, Henry Gomersall h...@cantab.net wrote:
I'd like to include the _cook_nd_args() function from fftpack in my GPL
code. Is this possible?
Yes. The numpy license is compatible with the GPL license, so code
from numpy may be incorporated into GPL programs.
How
On Wed, 2012-05-30 at 17:11 +0100, Robert Kern wrote:
On Wed, May 30, 2012 at 4:13 PM, Henry Gomersall h...@cantab.net
wrote:
I'd like to include the _cook_nd_args() function from fftpack in my
GPL
code. Is this possible?
Yes. The numpy license is compatible with the GPL license, so code
On Wed, May 30, 2012 at 5:39 PM, Charles R Harris charlesr.har...@gmail.com
wrote:
On Wed, May 30, 2012 at 4:59 AM, Nathaniel Smith n...@pobox.com wrote:
On Tue, May 29, 2012 at 7:42 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Mon, May 28, 2012 at 9:18 PM,
On Wed, May 30, 2012 at 5:55 PM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
On Wed, May 30, 2012 at 5:39 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Wed, May 30, 2012 at 4:59 AM, Nathaniel Smith n...@pobox.com wrote:
On Tue, May 29, 2012 at 7:42 PM, Charles R Harris
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Hi all,
I encountered an odd bug today that I wanted to bring to everyone's
attention. First the code:
import numpy as np
shape = (8, 8)
dtype = np.dtype(np.uint8)
image = np.random.randint(0, 256, shape).astype(dtype)
image.tofile(test_image.bin)
image = np.memmap(test_image.bin,
Confirmed on Ubuntu, np.__version__ 1.5.1 and 1.6.1 (backtraces are
bellow).
Something seems to be broken before it comes to memcpy
and/or _aligned_contig_to_strided_size1.
Val
-
np.__version__ 1.6.1
Program received signal SIGSEGV,
Dear all,
I have an ndarray which consists of many arrays stacked behind each other (only
conceptually, in truth it's a normal 1d float64 array).
I have a second array which tells me the start of the individual data sets in
the 1d float64 array and another one which tells me the length.
What do you mean by normalized it?
Could you give the output of your procedure for the sample input data.
Val
On Thu, May 31, 2012 at 12:36 AM, Wolfgang Kerzendorf wkerzend...@gmail.com
wrote:
Dear all,
I have an ndarray which consists of many arrays stacked behind each other
(only
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