> This is not correct. The discrete form of the Heaviside step function has
> the value 1 for x == 0.
>
Yeah, I was looking at it and wondering if I'd misremembered the
definition. Assuming you're implementing the discrete Heaviside function,
H[0] = 1 as Sturla notes.
___
That seems useful to me.
On Tue, Feb 3, 2015 at 3:58 PM, Warren Weckesser wrote:
> I have an implementation of the Heaviside function as numpy ufunc. Is
> there any interest in adding this to numpy? The function is simply:
>
> 0if x < 0
> heaviside(x) = 0.5 if x =
Sorry for the SPAM folks. Itchy smartphone :)
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-- Forwarded message --
From: *Brian Joseph*
Date: Thursday, September 25, 2014
Subject: Sport Rock Friday?
To: Aron Ahmadia
Hey Aron want to hit up Sport Rock tomorrow night? Meg and I would like to
go. Meg has to work until 8, so how does 8:30 sound
On Mon, Jun 9, 2014 at 8:52 PM, Sturla Molden
wrote:
>
> If we report a segfault Apple will probably think we are to blame. 99.9 %
> of bug reports come from idiots, and those who screen bug reports are
> basically payed to hit the ignore button. Indeed, good luck on reporting
> it.
I've report
Very cool!
On Tue, May 27, 2014 at 12:57 AM, Nicolas Rougier
wrote:
>
> Hi all,
>
> I've updated the numpy exercices collection and made it available on
> github at:
>
> https://github.com/rougier/numpy-100
>
>
> These exercices mainly comes from this mailing list and also from stack
> overflow.
code) for some notes on this.
A
On Thu, Apr 17, 2014 at 10:18 AM, Nathaniel Smith wrote:
> On 17 Apr 2014 15:09, "Aron Ahmadia" wrote:
> >
> > > On the one hand it would be nice to actually know whether
> posix_memalign is important, before making api decisions
> On the one hand it would be nice to actually know whether posix_memalign
is important, before making api decisions on this basis.
FWIW: On the lightweight IBM cores that the extremely popular BlueGene
machines were based on, accessing unaligned memory raised system faults.
The default behavior
Fernando is referring to this: http://lightningpython.org/
I have to admit that as a Pythonist supporting Windows builds, Cygwin
and/or MinGW have always been the most appealing because so much of the
rest of the numerical computing infrastructure is primarily supported on
UNIXy platforms.
A
On
Thanks Matthew for putting this page together.
The OpenBLAS guys have been accepting/merging pull requests (their GitHub
tree shows 26 contributors and no open pull requests), and I know that
several people from the Python and Julia community have gotten pull
requests merged. I modified your comm
On Mon, Mar 17, 2014 at 7:53 AM, Nathaniel Smith wrote:
> The thread so far, it sounds like the consensus answer is "meh,
> whatever". So I'm thinking we should just drop @@ from the PEP, and if
> it turns out that this is a problem we can always revisit it in the
> ~3.6/3.7 timeframe.
>
+1 from
That's the best news I've had all week.
Thanks for all your work on this Nathan.
-A
On Fri, Mar 14, 2014 at 8:51 PM, Nathaniel Smith wrote:
> Well, that was fast. Guido says he'll accept the addition of '@' as an
> infix operator for matrix multiplication, once some details are ironed
> out:
Hi Leo,
Out of curiosity, which vector math libraries did you have in mind as
likely candidates for inclusion? How are you planning on selecting the
library to integrate?
Cheers,
Aron
On Wed, Mar 12, 2014 at 12:52 PM, Leo Mao wrote:
> Hi,
> The attachment is my draft of proposal. The project
On Sun, Oct 27, 2013 at 9:42 PM, Neil Girdhar wrote:
> Yeah, I realized that I missed that and figured it wouldn't matter since
> it was my own master and I don't plan on making other changes to numpy. If
> you don't mind, how do I move my changelist into a branch? I'm really
> worried I'm goin
FWIW, I think it's a really cool project. I'm not the target demographic
at PyCon, but I would be very surprised if this isn't a well-received talk.
On Tue, Oct 15, 2013 at 12:13 PM, Yaroslav Halchenko
wrote:
> Hi Guys,
>
> PyCon 2014 will be just around the corner from where I am, so I decided
If you're using IPython (strongly recommended)
a?
a??
If you're just using Python
help(a)
A
On Mon, Oct 7, 2013 at 1:15 PM, Siegfried Gonzi
wrote:
> Hi all
>
> What is the equivalent to IDL its help function, e.g.
>
> ==
> IDL> a = make_array(23,23,)
>
> IDL> help,a
>
> will result in:
>
> A
Hey folks,
The mathematicians over at Walking Randomly have expressed some
dissatisfaction with the lack of warnings when solving nearly-singular
matrices:
http://www.walkingrandomly.com/?p=5092
An issue has been raised here: https://github.com/numpy/numpy/issues/3755
The Julia developers are a
BLAS project,
> like different MKL version. Maybe just on the them will get imported if the
> library name is the same.
>
> HTH
>
> Fred
>
>
> On Mon, Aug 5, 2013 at 5:06 PM, Aron Ahmadia wrote:
>
>> Dear NumPy Developers,
>>
>> In the Clawpack/* reposi
Dear NumPy Developers,
In the Clawpack/* repositories [1], we use a mixture of Fortran and Python
source, currently glued together using f2py.
Occasionally, we'll need to link the Fortran code directly against LAPACK.
In particular, we're using dgeev and dgesv to solve several different
Riemann
Hi Petro,
What version of numpy are you running?
A
On Thu, Jun 13, 2013 at 3:50 PM, Pietro Bonfa' wrote:
> Dear Numpy users,
>
> I have a memory leak in my code. A simple way to reproduce my problem is:
>
> import numpy
>
> class test():
> def __init__(self):
> pass
>
> def t(s
Hi Jon,
I have personally never used f2py to link to library code, but according to
the documentation:
http://cens.ioc.ee/projects/f2py2e/usersguide/index.html#command-f2py
if you are building a module (that is, invoking f2py -c), then you can
either include the path to the .a file directly at t
Pat Marion at Kitware did some work on this, I'm pinging him on the thread.
A
On Tue, Mar 12, 2013 at 2:05 PM, Dinesh B Vadhia
wrote:
> **
> Does that mean numpy won't work with freeze/create_executable type of
> tools or is there a workaround?
>
>
> *From:* Aro
multiarray is an extension module that lives within numpy/core, that is,
when, "import multiarray" is called, (and it's the first imported extension
module in numpy), multiarray.ext (ext being dll on Windows I guess), gets
dynamically loaded.
"No module named multiarray" is indicating problems wit
I've built numpy on many different machines, including supercomputers, and
I have never used interactive setup. I agree with the proposal to remove
it.
A
On Mon, Mar 4, 2013 at 11:10 PM, Charles R Harris wrote:
> In distutils there are three files that provide some interactive setup:
>
>
>
Interesting, that question would probably have gotten a different response
on scicomp, it is a pity we are not attracting more questions there!
I know there are two polyfit modules in numpy, one in numpy.polyfit, the
other in numpy.polynomial, the functionality you are suggesting seems to
fit in e
All open source software and research projects with numpy in the stack,
including PyClaw and petsc4py.
A
On Saturday, December 15, 2012, Ralf Gommers wrote:
>
>
>
> On Sat, Dec 15, 2012 at 2:21 PM, Aron Ahmadia
>
> > wrote:
>
>> Ralf,
>>
>> Does
All open source software and research projects with numpy in the stack,
including PyClaw and petsc4py.
A
On Saturday, December 15, 2012, Ralf Gommers wrote:
>
>
>
> On Sat, Dec 15, 2012 at 2:21 PM, Aron Ahmadia
>
> > wrote:
>
>> Ralf,
>>
>> Does
Ralf,
Does "performance testing" come under building/testing?
If so,
Aron Ahmadia
OS X.8
Thanks,
A
On Sat, Dec 15, 2012 at 8:13 AM, Ralf Gommers wrote:
>
>
>
> On Sat, Dec 15, 2012 at 5:06 AM, Chris Barker - NOAA Federal <
> chris.bar...@noaa.gov> wrote:
>
Todd,
I am optimistic and I think it would be a good idea to put this in. A
couple previous studies [1] haven't found any useful speedups from in-core
applications for Morton-order, and if you have results for real scientific
applications using numpy this would not only be great, but the resultin
Dear Jack,
You are starting to ask questions that should be easily answered by 5
minutes of your own time using a search engine. Speaking for myself, I'm a
volunteer here, and I want to help people learn and use Python, but I also
expect that you will put some of your own effort into tracking dow
I'm repeating myself, but did you try following the
instructions here: http://stackoverflow.com/a/622810/122022?
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Hi Jack,
import os
> Traceback (most recent call last):
> File "", line 1, in
> ImportError: No module named os
You've got a broken local python install. Did you try following the
instructions here: http://stackoverflow.com/a/622810/122022?
It is probably easiest to ask your system admi
Hi Rahul,
Very cool! I'm looking forward to seeing some performance results! Anders
Logg posted a computational challenge to G+ about a month ago, and we got
entries in Octave, Fortran, Python, and Julia (all implementing the same
solution from Jed Brown). The challenge is here:
https://plus.g
Can you expand a bit? Are you trying to disable threads at
compile-time or at run-time? Which threaded functionality are you
trying to disable? Are you using numpy as a computational library
with multiple threads making calls into its functions? I think
NPY_ALLOW_THREADS is for interacting with
Are you running the valgrind test with the Python suppression file:
http://svn.python.org/projects/python/trunk/Misc/valgrind-python.supp ?
Cheers,
A
On Wed, Sep 5, 2012 at 10:14 PM, Yaroslav Halchenko wrote:
> and another, quite weird one -- initially it was crashing with the same
> error on
>
The Eigen3 project (http://eigen.tuxfamily.org/index.php?title=Main_Page)
is more mature, but it's good to see a new contender in the field.
A
On Wed, Aug 29, 2012 at 1:59 PM, Neal Becker wrote:
> This looks interesting:
>
> http://code.google.com/p/blaze-lib/
>
> __
> Some parts of the numpy code release the GIL, so it needs to be reacquired
> in order to call the Python C_API. A quick look shows a call to
> PyObject_Print in the function and there may be other such calls. The right
> fix is probably to use a couple of ifdefs if there is an easy way to
> deter
Hi all,
Installing numpy 1.6.2 against a Python interpreter built with the
--without threads currently fails due to missing references
to PyGILState_Ensure and PyGILState_Release. The references appear to be
coming from the following code in nditer.c.src:
NPY_NO_EXPORT void
NpyIter_DebugPrint(Np
FWIW, on my OS X.6.8 system, using a brew-installed python, and installing
into /usr/local/lib, the symbols appear to be present:
❯ nm /usr/local/lib/python2.7/site-packages/numpy/core/multiarray.so | grep
ceil
U _ceil
U _ceilf
U _ceill
00
>
> `python setup.py install --user` should install bumpy in a ~/.local
> directory, you'll just have to update your PYTHONPATH
>
As of Python 2.6/3.x, ~/.local is searched after is added before the system
site directories but after Python's search paths and PYTHONPATH. See PEP
370 for more detail
Responding to both Dag and David,
> OpenMP is pretty widespread in supercomputing, and so is OpenMP +
> multiple threads using LAPACK at the same time. This does NOT sound like
> any issue with multiprocessing to me.
>
These are built on dynamic thread-level (pthreads), not process-level
(multip
Hi David,
Apple's response here is somewhat confusing, but I will add that on the
supercomputing side of things we rarely fork, as this is not well-supported
from the vendors or the hardware (it's hard enough to performantly spawn
500,000 processes statically, doing this dynamically becomes even m
I (or somebody else) needs to fix 325, Ralf pointed out that I was slightly
too aggressive preferring gfortran on vendor operating systems. I think I
should be able to fix this in the next couple of hours, I've been
delinquent in getting back to it.
A
On Tue, Jul 17, 2012 at 3:56 PM, Travis Olip
Disclosure: I'm not a numpy developer
You've certainly got a functional numpy installation if those are the only
two tests failing. Those two tests are related to the distance between
floating-point numbers using long double precision (128 bits). If you're
not using long doubles, then you probab
I usually find these problems by searching for "error" in the output, in
your case the complete problem is at the bottom of the log. The relocation
errors you're seeing are happening because the build process is trying to
link in Atlas libraries (located here: /home/hxc249/lib/atlas/lib/) that
wer
>
> Aron made this change for {mac, linux, posix, sun, irix, aix} in his PR. I
> think it's a good idea for {mac, linux} and perhaps posix, and to leave the
> other platforms alone. Does anyone else have an opinion on this?
>
Ralf, that sounds good to me. If you feel that we should leave sun, iri
How do the .dmg files work? Are these binary installers into the system
Python? I would expect that these wouldn't work with a manually installed
Python from python.org, but I have no experience with them.
Tom, I have had very good luck with the brew Python 2.7 installer, which
will give you a /
I and Geoff are moderators on scicomp, I'm happy to invest the effort in
getting the community started there. One way to use scicomp is like a
blog/faq, that is, if you get a specific question a lot here on the list or
elsewhere, you can ask and answer it yourself on scicomp. If others find
the p
As I mentioned before, numpy-related questions would be welcome on scicomp,
and this would have the advantage of bringing in scientists and
mathematicians from related fields who might be able to answer numerical
questions that sit between mathematics, programming, and science that you
might not ot
Did you mean http://programmers.stackexchange.com? The meta sites on *.
stackexchange.com are used (as one might guess) for meta discussions on the
site.
A
On Thu, Jun 28, 2012 at 4:58 PM, Cera, Tim wrote:
> Similar to http://scicomp.stackexchange.com there is
> http://meta.programmers.stackex
We try to support numpy questions on http://scicomp.stackexchange.com,
which is a StackOverflow site dedicated towards technical computing issues
that gets a fair amount of traffic from mathematicians and computational
scientists. We could always use more questions and answerers :)
A
On Thu, Jun
r options alone.
https://github.com/numpy/numpy/pull/325
A
On Wed, Jun 27, 2012 at 10:46 PM, Ralf Gommers
wrote:
>
>
> On Mon, Jun 18, 2012 at 9:47 AM, Aron Ahmadia wrote:
>
>> f2py, by default, seems to prefer g77 (no longer maintained, deprecated,
>> speedy, doesn&#
f2py, by default, seems to prefer g77 (no longer maintained, deprecated,
speedy, doesn't support Fortran 90 or Fortran 95) over gfortran
(maintained, slower, Fortran 90 and Fortran 95 support).
This causes problems when we try to compile Fortran 90 extensions using
f2py on platforms where both g77
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