Hello again,

I installed everything again locally from scratch, including anaconda. I
made sure $LD_LIBRARY_PATH was empty before installing anything, as this
seemed to be the culprit indeed.
This time 'import dolfin' worked without problems, just as a demo I tried
\o/

I have tried the (apparently outdated) dorsal script, the
(not-yet-for-every-platform) new install script — compiling all packages
from scratch, but now it finally works! Granted, CentOS might not be the
most thankful platform to support, but I think anaconda and this FEniCS
package will make life a lot easier for the
not-entirely-familiar-with-linux-yet folks like me.

Thanks!

Maarten

On 28 January 2015 at 23:12, Juan Luis Cano <[email protected]> wrote:

>  On 2015-01-28 14:22, Maarten wrote:
>
> Almost there (I hope)! I removed everything (step 7) and installed again
> with "conda install "fenics=1.4.0" mkl --channel
> https://conda.binstar.org/juanlu001/channel/fenics:1.4.0:centos";. Here is
> the result again.
>
> >>> import dolfin
>> Traceback (most recent call last):
>>   File "<stdin>", line 1, in <module>
>>   File
>> "<INSTALL_PATH>/anaconda/lib/python2.7/site-packages/dolfin/__init__.py",
>> line 16, in <module>
>>     import cpp
>>   File
>> "<INSTALL_PATH>/anaconda/lib/python2.7/site-packages/dolfin/cpp/__init__.py",
>> line 42, in <module>
>>     exec("import %s" % module_name)
>>   File "<string>", line 1, in <module>
>>   File
>> "<INSTALL_PATH>/anaconda/lib/python2.7/site-packages/dolfin/cpp/common.py",
>> line 32, in <module>
>>     _common = swig_import_helper()
>>   File
>> "<INSTALL_PATH>/anaconda/lib/python2.7/site-packages/dolfin/cpp/common.py",
>> line 28, in swig_import_helper
>>     _mod = imp.load_module('_common', fp, pathname, description)
>> ImportError:
>> <OTHER_INSTALL_PATH>/bin/opt/intel/ifc12.1/composer_xe_2011_sp1.9.293/mkl/lib/intel64/libmkl_sequential.so:
>> undefined symbol: mkl_serv_mkl_print
>>
>
>  Hoping this will be the last hurdle.
>
>
> Hmmm... I am afraid this will be a harder one :/
>
> The problem is that you already have a working MKL in your system (in
> <OTHER_INSTALL_PATH>/bin/opt/intel/ifc12.1/composer_xe_2011_sp1.9.293/mkl/)
> and thus dolfin is ignoring the one in <INSTALL_PATH>/anaconda/lib/. Some
> version mismatch is probably causing the problem.
>
> I guess your output of
>
> $ ldd .../_common.so | grep libmkl_sequential.so
>
> points to <OTHER_INSTALL_PATH>. The only thing I can think of is that you
> may have a non empty $LD_LIBRARY_PATH, and this is modifying the
> directories where the libraries are looked up. If I am correct, stripping
> the corresponding path from $LD_LIBRARY_PATH and repeating the ldd step
> should yield the MKL libraries located in the conda environment. I might
> not be correct though, and perhaps there is something I misunderstood from
> the conda building process...
>
> In case this doesn't work, I don't really know what else you can do. The
> only other thing I can suggest you is removing the conda mkl package and
> rebuilding petsc, petsc4py and dolfin yourself. In petsc/build.sh, you have
> to change "--with-blas-lapack-dir", and in dolfin/build.sh you have to
> change BLAS_DIR. (Also, you have to remove "mkl" from all the recipes).
>
> If you start rebuilding the packages, conda will try to build the
> dependencies recursively. In case you want to avoid this, you should add my
> channel to the list of default channels:
>
> $ conda config --add channel
> https://conda.binstar.org/juanlu001/channel/fenics:1.4.0:centos
>
> Lastly, make sure you increment the build numbers in */meta.yaml to avoid
> problems with the cached packages, as happened with boost (that one was my
> fault).
>
> Good luck!
>
> Juan Luis Cano
>
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