These are exciting times... There are more ways to install FEniCS than ever before. :-)
I am about to revise the installation instructions on the web page. I will be asking (hopefully in a day or two when I get to it) for input on which methods should be listed so please comment then on what to write about the Conda package. -- Anders Thu Jan 15 2015 at 11:14:31 PM skrev Juan Luis Cano <[email protected]>: > 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 > > > > _______________________________________________ > fenics-support mailing list > [email protected] > http://fenicsproject.org/mailman/listinfo/fenics-support >
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