I tried these commands to install FEniCS on a CentOS 6.6 system. Here is
the result:
> which python
<INSTALL_PATH>/anaconda/envs/fenics27/bin/python
However:
>>> import dolfin
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File
"<INSTALL_PATH>/anaconda/envs/fenics27/lib/python2.7/site-packages/dolfin/__init__.py",
line 16, in <module>
import cpp
File
"<INSTALL_PATH>/anaconda/envs/fenics27/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/envs/fenics27/lib/python2.7/site-packages/dolfin/cpp/common.py",
line 32, in <module>
_common = swig_import_helper()
File
"<INSTALL_PATH>/anaconda/envs/fenics27/lib/python2.7/site-packages/dolfin/cpp/common.py",
line 28, in swig_import_helper
_mod = imp.load_module('_common', fp, pathname, description)
ImportError: libboost_filesystem.so.1.55.0: cannot open shared object file:
No such file or directory
So no succes yet.
Regards,
Maarten
On 15 January 2015 at 23:14, Juan Luis Cano <[email protected]> wrote:
> I finally polished the recipes, adding test running and checksums for both
> 1.4.0 and 1.5.0. I also uploaded compiled versions of FEniCS to Binstar.
>
> Here is the source of the recipes (check the maint-1.4.0 branch too) with
> non-very-rigorous instructions on installing and building:
>
> https://github.com/juanlu001/fenics-recipes
>
> To install FEniCS in CentOS 6 these commands should work:
>
> $ bash
> $ conda create -n fenics27 python=2.7
> $ source activate fenics27
> (fenics27) $ conda install "fenics=1.4.0" mkl --channel
> https://conda.binstar.org/juanlu001/channel/fenics:1.4.0:centos
>
> I still find that installing the packages in a different distribution that
> the one used for building them has its problems (e.g. some hardcoded paths
> in instant and ffc, at least in 1.4.0, that require manual fixing) but
> still these recipes work wonderfully as a build system. I have compiled all
> the libraries like thirty times in the past two weeks but in the end I
> reached my goal, which was using FEniCS in my native system. Hope they are
> useful :)
>
> Best regards,
>
> Juan Luis
>
>
> On 2015-01-11 21:38, Juan Luis Cano wrote:
>
>> Hello all,
>>
>> I just wanted to say that I finally got VTK plotting to work. Fortunately
>> there was a VTK conda package, so I switched my build system to a Linux
>> Mint with a proper graphical server and it worked. I tested the package
>> both in Mint and Arch Linux and I can claim success :)
>>
>> Let me repeat the commands:
>>
>> $ conda create --name py27 python=2.7
>> $ source activate py27
>> (py27)$ conda install fenics --channel juanlu001
>>
>>
>> I will repeat the process with the first 1.5 release with updated
>> requirements, and by then I will probably put all the conda recipes in an
>> independent Bitbucket repo. Again, any feedback is welcome.
>>
>> Best regards,
>>
>> Juan Luis
>>
>> On 2015-01-05 22:32, Garth N. Wells wrote:
>>
>>> I think is is great.
>>>
>>> I haven’t tested yet, but a suggestion to make the process simpler is to
>>> let PETSc build suitesparse, etc. PETSc is a C library but can be installed
>>> with pip (it has a Python-based build system). It can take care of a number
>>> of dependencies (solvers, graph partitioners, etc).
>>>
>>> I’ve copied Andy Terrel at Conitnuum Analytics who might have something
>>> to chip in with.
>>>
>>> Garth
>>>
>>>
>>> On 5 Jan 2015, at 13:07, Juan Luis Cano <[email protected]> wrote:
>>>>
>>>> Hello all,
>>>>
>>>> My name is Juan Luis Cano, I'm studying a MSc in Aerospace Engineering
>>>> in Madrid and I started recently to play with FEniCS for my final degree
>>>> project. For my day to day work I am using a virtualized Linux Mint and
>>>> everything works like a charm thanks to the Ubuntu PPA, but as it is not
>>>> the distribution which I normally use I tried to build a conda package
>>>> these holidays.
>>>>
>>>> I noticed there are a couple of build systems out there (dorsal,
>>>> hashdist) but, as the Anaconda distribution[1] is getting popular in the
>>>> scientific Python world these days, I really wanted to try to provide
>>>> FEniCS packages for it (at least in Linux). For those who don't know it,
>>>> Anaconda's package manager, conda, is open source[2] and provides a nice
>>>> build system[3].
>>>>
>>>> You can try out my progress so far with a Linux 64 bit box and a Python
>>>> 2.7 environment:
>>>>
>>>> $ conda create --name py27 python=2.7
>>>> $ source activate py27
>>>> (py27)$ conda install fenics --channel juanlu001
>>>>
>>>> The build process itself was painful because I knew very little about
>>>> FEniCS dependencies a week ago but right now I managed to run the
>>>> `demo_poisson.py` (_without_ plotting, see below). The results seem OK from
>>>> Paraview.
>>>>
>>>> The good thing is that I made the builds in an Ubuntu Server box but it
>>>> works the same in an Arch Linux machine too. I didn't try to compile it
>>>> against PETSc, Trilinos and such yet because I wanted some feedback from
>>>> the community first, and know if this is something useful for anybody!
>>>>
>>>> The trick here was avoiding the Ubuntu packages (via apt-get) and
>>>> compile the dependencies in the form of conda packages themselves. I did
>>>> such with boost and suitesparse, for instance[4]. This way there are no
>>>> linking problems across different Linux distros. I am stuck with VTK though
>>>> because it seems to look for libGL.so, which in turn pulls from X11... and
>>>> everythings gets messy very quickly[5].
>>>>
>>>> So if I can get some feedback about how does this work in others'
>>>> computers, if this is any useful and which packages should I try to build
>>>> next that would be great. Anybody can reproduce the build process using my
>>>> conda-recipes fork.
>>>>
>>>> Kind regards and happy new year!
>>>>
>>>> Juan Luis
>>>>
>>>> [1] https://store.continuum.io/cshop/anaconda
>>>> [2] https://github.com/conda/
>>>> [3] http://conda.pydata.org/docs/build.html
>>>> [4] https://binstar.org/juanlu001/
>>>> [5] https://github.com/Juanlu001/conda-recipes/commit/
>>>> a18cedc56e330ba09961b8ddaeb86f580e22f3cc
>>>> _______________________________________________
>>>> fenics-support mailing list
>>>> [email protected]
>>>> http://fenicsproject.org/mailman/listinfo/fenics-support
>>>>
>>>
>>
>
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