On 2015-01-19 21:23, Anders Logg wrote:
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.
Sure! :) I just saw on Twitter that Garth has already tried Anaconda.
The recipes are ready for local building, but some more time is needed
building them in one distro and trying in another so completely portable
packages can be created.
Juan Luis
--
Anders
Thu Jan 15 2015 at 11:14:31 PM skrev Juan Luis Cano
<[email protected] <mailto:[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]
<mailto:[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]
<mailto:[email protected]>
>>> http://fenicsproject.org/mailman/listinfo/fenics-support
>
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