On Wed, Nov 18, 2009 at 23:39, David Cournapeau
wrote:
> Robert Kern wrote:
>> On Wed, Nov 18, 2009 at 22:52, David Cournapeau
>> wrote:
>>
>>> René Dudfield wrote:
>>>
pygame is also LGPL... as are a number of other libraries. (pyqt is GPL
btw).
LGPL basically means you can
Robert Kern wrote:
> On Wed, Nov 18, 2009 at 22:52, David Cournapeau
> wrote:
>
>> René Dudfield wrote:
>>
>>> pygame is also LGPL... as are a number of other libraries. (pyqt is GPL
>>> btw).
>>>
>>> LGPL basically means you can link to the library source, but if you
>>> make changes to
On Wed, Nov 18, 2009 at 22:52, David Cournapeau
wrote:
> René Dudfield wrote:
>> pygame is also LGPL... as are a number of other libraries. (pyqt is GPL
>> btw).
>>
>> LGPL basically means you can link to the library source, but if you
>> make changes to the library you should give them back. U
René Dudfield wrote:
> pygame is also LGPL... as are a number of other libraries. (pyqt is GPL btw).
>
> LGPL basically means you can link to the library source, but if you
> make changes to the library you should give them back. Users should
> also be able to change the library if they want... e
On Wed, Nov 18, 2009 at 17:50, Mathew Yeates wrote:
> for a 64 bit machine does this mean I am limited to 4 GB?
It depends not just on what your CPU is capable of, but also your OS
and how your Python was built. If all three of those are 64-bit
capable, you should be able to address a lot more th
for a 64 bit machine does this mean I am limited to 4 GB?
-Mathew
On Wed, Nov 18, 2009 at 3:48 PM, Robert Kern wrote:
> On Wed, Nov 18, 2009 at 17:43, Mathew Yeates wrote:
> > What limits are there on file size when using memmap?
>
> With a modern filesystem, usually you are only limited to th
On Wed, Nov 18, 2009 at 17:43, Mathew Yeates wrote:
> What limits are there on file size when using memmap?
With a modern filesystem, usually you are only limited to the amount
of contiguous free space in your process's current address space.
--
Robert Kern
"I have come to believe that the who
What limits are there on file size when using memmap?
-Mathew
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I turns out I *was* running out of memory. My dimensions would require 3.5
gig and my plot must have used up some memory.
On Wed, Nov 18, 2009 at 2:43 PM, Charles R Harris wrote:
>
>
> On Wed, Nov 18, 2009 at 3:13 PM, Mathew Yeates wrote:
>
>> The value of dims is constant and not particular
On Wed, Nov 18, 2009 at 3:13 PM, Mathew Yeates wrote:
> The value of dims is constant and not particularly large.
Yes, but what are they?
> I also checked to make sure I wasn't running out of memory. Are there other
> reasons for this error?
>
>
If there is a memory error, no memory is used.
also, the exception is only thrown when I plot something first. I wonder if
matplotlib is messing something up.
On Wed, Nov 18, 2009 at 2:13 PM, Mathew Yeates wrote:
> The value of dims is constant and not particularly large. I also checked to
> make sure I wasn't running out of memory. Are ther
The value of dims is constant and not particularly large. I also checked to
make sure I wasn't running out of memory. Are there other reasons for this
error?
Mathew
On Wed, Nov 18, 2009 at 1:51 PM, Robert Kern wrote:
> On Wed, Nov 18, 2009 at 15:48, Mathew Yeates wrote:
> > Hi
> >
> > I have a
2009/11/18 Robert Kern :
> On Wed, Nov 18, 2009 at 15:15, Angus McMorland wrote:
>> Hi all,
>>
>> Whenever I run numpy.linalg.lstsq with a xs parameter with both
>> dimensions larger than 128, I get an "Illegal instruction" and python
>> dies completely. It happens with both the Ubuntu jaunty stan
On Wed, Nov 18, 2009 at 15:48, Mathew Yeates wrote:
> Hi
>
> I have a line of matplotlib code
>
> -self.ax.plot(plot_data,mif)
>
>
>
> that causes the line
>
> -self.data=numpy.zeros(shape=dims)
>
>
>
> to throw a MemoryError exception.
>
> (if I comment out the first line I get no error.)
>
> Thi
Hi
I have a line of matplotlib code
-self.ax.plot(plot_data,mif)
that causes the line
-self.data=numpy.zeros(shape=dims)
to throw a MemoryError exception.
(if I comment out the first line I get no error.)
This is on a windows xp machine with latest numpy and the latest matplotlib.
I
On Wed, Nov 18, 2009 at 15:15, Angus McMorland wrote:
> Hi all,
>
> Whenever I run numpy.linalg.lstsq with a xs parameter with both
> dimensions larger than 128, I get an "Illegal instruction" and python
> dies completely. It happens with both the Ubuntu jaunty standard numpy
> 1.2.1, and a recent
Hi all,
Whenever I run numpy.linalg.lstsq with a xs parameter with both
dimensions larger than 128, I get an "Illegal instruction" and python
dies completely. It happens with both the Ubuntu jaunty standard numpy
1.2.1, and a recent svn 1.4.0.dev7727, but it doesn't seem to happen
on any other mac
Emanuelle,
perfect! thanks.
> (assuming "import numpy as np", which is considered as a better practice
> as "from numpy import *")
actually I normally just "import numpy" but I guess np is nicer to
type and read...
cheers,
Damien
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NumPy-Discussion
Hello Damien,
broadcasting can solve your problem (see
http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html):
(A[np.newaxis,:]**B[:,np.newaxis]).sum(axis=0)
gives the result you want.
(assuming "import numpy as np", which is considered as a better practice
as "from numpy import *")
Ch
ugh... I goofed. The code snippet should have read
from numpy import *
A=array([[1,2],[2,3],[3,4]])
B=array([[2,2],[3,3]])
C=zeros(A.shape)
for i in xrange(len(A)):
C[i]=(A[i]**B).sum(0)
print C
On Wed, Nov 18, 2009 at 2:17 PM, Damien Moore wrote:
> The title of this e-mail is probably mislead
The title of this e-mail is probably misleading so let me just show some code:
from numpy import *
A=array([[1,2],[2,3],[3,4]])
B=array([[2,2],[3,3]])
C=zeros(A.shape)
for i in xrange(len(A)):
C[i]=sum(A[i]**B)
print C
What I want to do is eliminate the for loop and rely on numpy
internals, but
Hi,
I have started again, simply executing:
>python setup.py install
However, I now get the following:
>File "numpy/core/setup.py", line 253, in check_mathlib
> raise EnvironmentError("math library missing; rerun "
>EnvironmentError: math library missing; rerun setup.py after setting the
>MATHL
On Wed, Nov 18, 2009 at 10:17 AM, James Bergstra
wrote:
> On Tue, Nov 17, 2009 at 9:53 PM, Robert Kern
> wrote:
> > On Tue, Nov 17, 2009 at 20:48, James Bergstra
> wrote:
> >> Is it by design that "numpy.sqrt(None)" raises an "AttributeError:
> sqrt"?
> >
> > Yes. numpy.sqrt() is a ufunc. Ufunc
On Tue, Nov 17, 2009 at 9:53 PM, Robert Kern wrote:
> On Tue, Nov 17, 2009 at 20:48, James Bergstra
> wrote:
>> Is it by design that "numpy.sqrt(None)" raises an "AttributeError: sqrt"?
>
> Yes. numpy.sqrt() is a ufunc. Ufuncs take their arguments and try to
> convert them to numpy arrays; the
On Fri, Nov 6, 2009 at 7:46 PM, David Cournapeau wrote:
> On Sat, Nov 7, 2009 at 3:41 AM, David Cournapeau wrote:
>
>> I don't think LGPL has much meaning for
>> python code, especially pure python code (and m4 for that matter)
>
> This is funny - besides pyqt, the only LGPL reference with python
On Tue, Nov 17, 2009 at 8:55 PM, David Cournapeau wrote:
> already done in r7743 :) Did you report it as a bug on trac, so that
> I close it as well,
Oh, thanks! No, I forgot to report it on trac, I'll try to remember
that in the future.
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Olivia Cheronet wrote:
> Hello.
>
> I am currently trying to install the latest version of NumPy for my cygwin
> Python, and I am having problems...
>
> I have downloaded the source, and unzipped and untarred it in my home
> directory.
> Subsequently, I included the following in the site.cfg file
On Wed, Nov 18, 2009 at 12:38 AM, wrote:
>
> Now numpy builds without problems.
> When I run the tests I get 16 failures mostly nan related. I have no idea
> whether they are real or if there is still something screwed up in my
> setup. See below.
I can reproduce those. I did not see those beca
Hello.
I am currently trying to install the latest version of NumPy for my cygwin
Python, and I am having problems...
I have downloaded the source, and unzipped and untarred it in my home directory.
Subsequently, I included the following in the site.cfg file:
>[DEFAULT]
>library_dirs = /cygdrive
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