On Sun, Nov 11, 2012 at 11:20 PM, Peter Cock p.j.a.c...@googlemail.com wrote:
On Sun, Nov 11, 2012 at 9:05 PM, Ralf Gommers ralf.gomm...@gmail.com wrote:
Those changes look correct, a PR would be great.
I'll do that later this week - but feel free to do it yourself immediately
if more
On 11/9/2012 12:21 PM, Nathaniel Smith wrote:
you might want to double-check that the
np.random.choice in 1.7 actually*does* give an error if the input
array is not 1-d
Any idea where I can look at the code?
I browsed github after failing to find
a productive search string, but failed
to
Hey,
On Mon, 2012-11-12 at 08:48 -0500, Alan G Isaac wrote:
On 11/9/2012 12:21 PM, Nathaniel Smith wrote:
you might want to double-check that the
np.random.choice in 1.7 actually*does* give an error if the input
array is not 1-d
Any idea where I can look at the code?
I browsed
On Mon, Nov 12, 2012 at 2:48 PM, Alan G Isaac alan.is...@gmail.com wrote:
On 11/9/2012 12:21 PM, Nathaniel Smith wrote:
you might want to double-check that the
np.random.choice in 1.7 actually*does* give an error if the input
array is not 1-d
Any idea where I can look at the code?
I
On 11/12/2012 8:59 AM, Sebastian Berg wrote:
https://github.com/numpy/numpy/blob/master/numpy/random/mtrand/mtrand.pyx#L919
Sounds like it should be pretty simple to add axis=None which would
change the current behavior very little, it would stop give an error
anymore for none 1-d arrays
On Mon, Nov 12, 2012 at 3:50 PM, Alan G Isaac alan.is...@gmail.com wrote:
On 11/12/2012 8:59 AM, Sebastian Berg wrote:
https://github.com/numpy/numpy/blob/master/numpy/random/mtrand/mtrand.pyx#L919
Sounds like it should be pretty simple to add axis=None which would
change the current behavior
On 11/12/2012 10:00 AM, Nathaniel Smith wrote:
I don't really have an opinion on whether those
things should be supported, or what the right API should be; I haven't
really thought about it. Maybe others on the list have opinions. I was
just saying that we have plenty of time to decide about
In a comment on the issue https://github.com/numpy/numpy/issues/2724 Sebastian
notes:
it could also be reasonable to have size=None as default and have it return a
scalar/the given axes removed in that case. That would be a real change
in functionality unfortunately, but it would make sense for
On Mon, Nov 12, 2012 at 5:31 PM, Alan G Isaac alan.is...@gmail.com wrote:
In a comment on the issue https://github.com/numpy/numpy/issues/2724
Sebastian notes:
it could also be reasonable to have size=None as default and have it return
a scalar/the given axes removed in that case. That would
On Mon, 2012-11-12 at 17:52 +0100, Nathaniel Smith wrote:
On Mon, Nov 12, 2012 at 5:31 PM, Alan G Isaac alan.is...@gmail.com wrote:
In a comment on the issue https://github.com/numpy/numpy/issues/2724
Sebastian notes:
it could also be reasonable to have size=None as default and have it
Hi,
I wanted to check that everyone knows about and is happy with the
scalar casting changes from 1.6.0.
Specifically, the rules for (array, scalar) casting have changed such
that the resulting dtype depends on the _value_ of the scalar.
Mark W has documented these changes here:
I've pushed my code to a branch here
https://github.com/leschef/numpy/tree/faster_dot
with the commit
https://github.com/leschef/numpy/commit/ea037770e03f23aca1a06274a1a8e8bf0e0e2ee4
Let me know if that's enough to create a pull request.
Thanks,
-nicolas
On Sat, Nov 10, 2012 at 4:39 AM, George
On Mon, Nov 12, 2012 at 9:08 PM, Nicolas SCHEFFER
scheffer.nico...@gmail.com wrote:
I've pushed my code to a branch here
https://github.com/leschef/numpy/tree/faster_dot
with the commit
https://github.com/leschef/numpy/commit/ea037770e03f23aca1a06274a1a8e8bf0e0e2ee4
Let me know if that's
On Mon, Nov 12, 2012 at 8:54 PM, Matthew Brett matthew.br...@gmail.com wrote:
Hi,
I wanted to check that everyone knows about and is happy with the
scalar casting changes from 1.6.0.
Specifically, the rules for (array, scalar) casting have changed such
that the resulting dtype depends on
On Mon, Nov 12, 2012 at 1:31 PM, Peter Cock p.j.a.c...@googlemail.comwrote:
On Sun, Nov 11, 2012 at 11:20 PM, Peter Cock p.j.a.c...@googlemail.com
wrote:
On Sun, Nov 11, 2012 at 9:05 PM, Ralf Gommers ralf.gomm...@gmail.com
wrote:
Those changes look correct, a PR would be great.
Hi,
On Mon, Nov 12, 2012 at 1:11 PM, Nathaniel Smith n...@pobox.com wrote:
On Mon, Nov 12, 2012 at 8:54 PM, Matthew Brett matthew.br...@gmail.com
wrote:
Hi,
I wanted to check that everyone knows about and is happy with the
scalar casting changes from 1.6.0.
Specifically, the rules for
On Mon, Nov 12, 2012 at 10:27 PM, Matthew Brett matthew.br...@gmail.com wrote:
Hi,
On Mon, Nov 12, 2012 at 1:11 PM, Nathaniel Smith n...@pobox.com wrote:
On Mon, Nov 12, 2012 at 8:54 PM, Matthew Brett matthew.br...@gmail.com
wrote:
Hi,
I wanted to check that everyone knows about and is
Hi,
On Mon, Nov 5, 2012 at 11:33 PM, Travis Oliphant tra...@continuum.io wrote:
Hey all,
Ondrej has been tied up finishing his PhD for the past several weeks. He is
defending his work shortly and should be available to continue to help with
the 1.7.0 release around the first of December.
On 11/12/2012 12:16 PM, Sebastian Berg wrote:
So instead of taking a sequence of length 1, take an element as default.
Sebastien has proposed that np.random.choice return
a single *element* by default, not a 1d array of length 1.
He proposes to associate this with a default value of
On Mon, Nov 12, 2012 at 11:34 PM, Alan G Isaac alan.is...@gmail.com wrote:
On 11/12/2012 12:16 PM, Sebastian Berg wrote:
So instead of taking a sequence of length 1, take an element as default.
Sebastien has proposed that np.random.choice return
a single *element* by default, not a 1d array
On Mon, Nov 12, 2012 at 10:27 PM, Ondřej Čertík ondrej.cer...@gmail.com wrote:
Hi,
On Mon, Nov 5, 2012 at 11:33 PM, Travis Oliphant tra...@continuum.io wrote:
Hey all,
Ondrej has been tied up finishing his PhD for the past several weeks. He is
defending his work shortly and should be
On 11/12/2012 5:46 PM, Nathaniel Smith wrote:
Want to make a pull request?
Well, I'd be happy to help Sebastien to change the
code, but I'm not a git user.
And I'd have some questions. E.g., with `size=None`,
couldn't we just call Python's random.choice? And for
sampling without replacement,
On Mon, Nov 12, 2012 at 3:27 PM, Ondřej Čertík ondrej.cer...@gmail.comwrote:
Hi,
On Mon, Nov 5, 2012 at 11:33 PM, Travis Oliphant tra...@continuum.io
wrote:
Hey all,
Ondrej has been tied up finishing his PhD for the past several weeks.
He is defending his work shortly and should be
On Mon, Nov 12, 2012 at 9:20 PM, Ralf Gommers ralf.gomm...@gmail.com wrote:
...
Found executable C:\cygwin\usr\bin\gcc.exe
g++ -mno-cygwin _configtest.o -lmsvcr100 -o _configtest.exe
Could not locate executable g++
Executable g++ does not exist
A C++ compiler shouldn't be needed for numpy,
On Mon, Nov 12, 2012 at 3:47 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Mon, Nov 12, 2012 at 3:27 PM, Ondřej Čertík ondrej.cer...@gmail.com
wrote:
Hi,
On Mon, Nov 5, 2012 at 11:33 PM, Travis Oliphant tra...@continuum.io
wrote:
Hey all,
Ondrej has been tied up finishing
On Tue, Nov 13, 2012 at 12:36 AM, Peter Cock p.j.a.c...@googlemail.com wrote:
I've not yet run the numpy tests yet, but I think this means
my github branches are worth merging:
https://github.com/peterjc/numpy/commits/msvc10
Hi Ralf,
Pull request filed, assuming this gets applied to the
On Mon, 2012-11-12 at 18:36 -0500, Alan G Isaac wrote:
On 11/12/2012 5:46 PM, Nathaniel Smith wrote:
Want to make a pull request?
Well, I'd be happy to help Sebastien to change the
code, but I'm not a git user.
I have created a pull request, but tests are still needed... If you like
it
Yep exactly.
I just want to make sure that we talked enough on the principle first
(ie. goals and technical approach), and that indeed the code is good
enough to look at.
I get it from your answer that it is, so I went ahead
https://github.com/numpy/numpy/pull/2730
Thanks
-nicolas
On Mon, Nov
2012/11/12 Nathaniel Smith n...@pobox.com
On Mon, Nov 12, 2012 at 8:54 PM, Matthew Brett matthew.br...@gmail.com
wrote:
Hi,
I wanted to check that everyone knows about and is happy with the
scalar casting changes from 1.6.0.
Specifically, the rules for (array, scalar) casting have
Congratulation.
De : numpy-discussion-boun...@scipy.org [numpy-discussion-boun...@scipy.org] de
la part de Ondřej Čertík [ondrej.cer...@gmail.com]
Date d'envoi : 12 novembre 2012 17:27
À : Discussion of Numerical Python
Objet : Re: [Numpy-discussion] 1.7.0
On 11/12/2012 8:18 PM, Sebastian Berg wrote:
I have created a pull request
This is still a bit different than I thought you intended.
With `size=None` we don't get an element,
but rather a 0d array.
I thought the idea was to return an element in this case?
Alan
On Monday, November 12, 2012, Olivier Delalleau wrote:
2012/11/12 Nathaniel Smith n...@pobox.com javascript:_e({}, 'cvml',
'n...@pobox.com');
On Mon, Nov 12, 2012 at 8:54 PM, Matthew Brett
matthew.br...@gmail.comjavascript:_e({}, 'cvml',
'matthew.br...@gmail.com');
wrote:
Hi,
I
On Monday, November 12, 2012, Benjamin Root wrote:
On Monday, November 12, 2012, Olivier Delalleau wrote:
2012/11/12 Nathaniel Smith n...@pobox.com
On Mon, Nov 12, 2012 at 8:54 PM, Matthew Brett matthew.br...@gmail.com
wrote:
Hi,
I wanted to check that everyone knows about and is
Hi,
On Mon, Nov 12, 2012 at 8:15 PM, Benjamin Root ben.r...@ou.edu wrote:
On Monday, November 12, 2012, Olivier Delalleau wrote:
2012/11/12 Nathaniel Smith n...@pobox.com
On Mon, Nov 12, 2012 at 8:54 PM, Matthew Brett matthew.br...@gmail.com
wrote:
Hi,
I wanted to check that
On Monday, November 12, 2012, Matthew Brett wrote:
Hi,
On Mon, Nov 12, 2012 at 8:15 PM, Benjamin Root ben.r...@ou.edu wrote:
On Monday, November 12, 2012, Olivier Delalleau wrote:
2012/11/12 Nathaniel Smith n...@pobox.com
On Mon, Nov 12, 2012 at 8:54 PM, Matthew Brett
I'm trying to understand how numpy decides when to release memory and
whether it's possible to exert any control over that. The situation is that
I'm profiling memory usage on a system in which a great deal of the overall
memory is tied up in ndarrays. Since numpy manages ndarray memory on its
own
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