Re: [Numpy-discussion] FYI: experimental waf support for numpy

2011-02-13 Thread David Cournapeau
On Thu, Feb 10, 2011 at 10:06 PM, Pauli Virtanen wrote: > Thu, 10 Feb 2011 14:30:37 +0900, David wrote: > [clip] >> Following recent release of waf 1.6 and its adoption by the samba >> project, as well as my own work on integrating waf and bento, I have >> spent some time to build numpy with it. A

Re: [Numpy-discussion] odd performance of sum?

2011-02-13 Thread Sturla Molden
Den 13.02.2011 04:30, skrev Travis Oliphant: One of the advantages of an open source community is that different needs get addressed by the people who need them. So, if you really need a faster sum and are willing to do the hard work to make it happen (or convince someone else to do it for

Re: [Numpy-discussion] odd performance of sum?

2011-02-13 Thread Sturla Molden
Den 13.02.2011 01:02, skrev eat: Now, I'm not pretending to know what kind of a person a 'typical' numpy user is. But I'm assuming that there just exists more than me with roughly similar questions in their (our) minds and who wish to utilize numpy more 'pythonic; all batteries included' way.

Re: [Numpy-discussion] mkl 10.3 linking - undefined symbol: i_free?

2011-02-13 Thread Matthieu Brucher
Hi, This pops up regularly here, you can search with Google and find this page: http://matt.eifelle.com/2008/11/03/i-used-the-latest-mkl-with-numpy-and/ Matthieu 2011/2/13 Andrzej Giniewicz > Hello, > > I'd like to ask if anyone got around the undefined symbol i_free > issue? What I did was th

[Numpy-discussion] mkl 10.3 linking - undefined symbol: i_free?

2011-02-13 Thread Andrzej Giniewicz
Hello, I'd like to ask if anyone got around the undefined symbol i_free issue? What I did was that I used link advisor from file:///home/giniu/Downloads/MKL_Linking_Adviser-1.03.htm and it told me to use -L$MKLPATH $MKLPATH/libmkl_solver_lp64.a -Wl,--start-group -lmkl_gf_lp64 -lmkl_gnu_thread -lm

Re: [Numpy-discussion] MKL libraries can't be found

2011-02-13 Thread Nicolas Pinto
Hey Jonathan, Not sure if it will help, but here is how I got my MKL install working: cd ~/install virtualenv numpy_mkl cd numpy_mkl source bin/activate wget http://downloads.sourceforge.net/project/numpy/NumPy/1.5.1/numpy-1.5.1.tar.gz tar xzvf numpy-1.5.1.tar.gz cd numpy-1.5.1 cat << EOF > si