On Tue, Sep 20, 2011 at 5:13 AM, Samuel John <sc...@samueljohn.de> wrote: > Ralf, thanks for your answer. > > However, in short: > > I want `pip install numpy; pip install scipy` to work on OS X Lion without > extra effort :-) > > > On 19.09.2011, at 19:05, Ralf Gommers wrote: >> Do you think it's possible to teach numpy to use different CC, CXX? >> >>> This is possible, but numpy probably shouldn't mess with these variables. >>> As a user you can set them permanently by adding them to your bash_profile >>> for example. > > The problem is that most things do work fine with the default gcc which has > the llvm backend on OS X Lion (10.7) /usr/bin/gcc -> llvm-gcc-4.2. But > somehow scipy has problems with that backend. > I do not want to set CC CXX permanently. > I made a homebrew formula for numpy, which takes care of these things. But > the policy of the homebrew team is to avoid duplicates which can be installed > via pip. Therefore I am asking for support if someone could point me to the > place where the compiler is chosen. I'd propose to add an OS X 10.7 switch > there in order to avoid the llvm. > > >>> And the FFLAGS >> >> This needs to be solved. Perhaps the solution involves more wrappers for >> broken vecLib/Accelerate functions in scipy? Does anyone know which routines >> are broken on 10.7? For 10.6 I found this discussion helpful: >> http://www.macresearch.org/lapackblas-fortran-106. It is claimed there that >> while '-ff2c' fixes complex routines, it breaks SDOT when used with '-m64'. >> SDOT is used in linalg. > > I don't know nothing of such things. :-( > If there is really something broken with vecLib/Accelerate, a ticket on > Apple's bugtracker rdar should be opened. > > >>> and the switch --fcompiler=gnu95 arg? >> >> This shouldn't be necessary if you only have gfortran installed. >> > > Ah ok. Thanks!
I will try to look at this problem next week, when I will receive a new laptop with Lion on it. If I forget about it, please ping me at the end of next week, we need to fix this, cheers, David _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
