Yup, my fault. I've stuck the recipes here:
https://bitbucket.org/yt_analysis/yt_conda
until they all get sucked into the main conda-recipes repo, which is
where I'd like to see them stay. One nice thing is that -- I think --
the "-c" option can be supplied multiple times, so in principle if
Nathan were to upload, you could supply his as well.
Once this gets going a bit more we can definitely work on this to make
it more flexible and accessible. I am kind of liking conda in general
though, and I particularly like that we could suggest miniconda and
then have individuals interested in more packages do "conda install
anaconda" to get basically everything else. We can also preserve the
"source install" of yt, as well as the "yt update" functionality, if
we provide both binary and source install methods, and the difference
would be so small that they could be in the same script. One would do
"conda install yt" and the other would clone the repo and do "setup.py
develop" like we do now.
On Fri, Aug 30, 2013 at 1:42 PM, Nathan Goldbaum
Hey Chris,
I don't think mercurial is strictly necessary, can you try again without it? I think if Matt uploads a mercurial package for OS X this won't be an issue. I'll send him an updated tarball.
I submitted a mercurial recipe to conda-recipes yesterday (https://github.com/ContinuumIO/conda-recipes/pull/14) so hopefully a mercurial build will be included in future anaconda releases.
On Fri, Aug 30, 2013 at 10:39 AM, Chris Malone
wrote: I just tried setting this up on OS X 10.7.5 and failed when attempting to create the conda environment due to a missing mercurial package:
$ conda create -n ytenv -c http://conda.binstar.org/yt_project yt mercurial ipython tornado pyzmq pygments jinja2 sphinx Error: No packages found matching: mercurial
On Thu, Aug 29, 2013 at 9:01 PM, Nathan Goldbaum
wrote: Yup, please try on OSX as well. If you make sure Matt's binstar is in your .condarc, you should be able to get yt by doing 'conda install yt'.
I built the OSX binary on my laptop so I'd appreciate hearing about issues, particularly if there are issues on older OS X releases.
On Thursday, August 29, 2013, Matthew Turk wrote:
Hi all,
Thank you for the feedback -- I am glad there is some agreement about possible ways forward, and so I'm happy to try to use this as an opportunity to explore simpler, more reliable methods than the install script.
This afternoon, I spent a bit of time with Conda, and I think it's quite nice. There are a few rough corners, particularly related to the binstar service, but it's so far pretty great. With Nathan's help, I was able to upload a yt-2.5.5 package for linux x86_64 and then install it.
The workflow that seems to work:
* Get miniconda: http://repo.continuum.io/miniconda/index.html * Run the installer for miniconda * Enter the conda environment and then install yt by doing "conda install yt -c http://conda.binstar.org/yt_project/ ".
I think that this can likely all be stuck into a bash script. A simple, first pass at this is here:
http://paste.yt-project.org/show/3833/
This right now only works on Linux x86_64, but getting it to work for other machines won't be too hard. I suspect we will be able to do nightlies very easily as well. If anyone out there has an x86_64 machine they wouldn't mind trying it on, that would be very helpful! I did find that once I ran this script, I had to actually prepend the PATH afterwards as well. This means doing:
export LD_LIBRARY_PATH=$HOME/yt-conda:$LD_LIBRARY_PATH export PATH=$HOME/yt-conda:$PATH source activate ytenv
At that point, everything was set up and working for me. The miniconda install offers to add paths to .bashrc, but I don't think we should go down that route. That being said, this is also a possible point of friction.
One nice thing is that this also completely works with the full anaconda; if someone wants everything that is in the anaconda install, they can even simply do "conda install anaconda" from the command line to get it. But the stripped down subset is the default.
If anyone has a chance to try this out and has feedback, I'd greatly appreciate it! I think Nathan has done something very similar for OSX. I've also put a couple simple conda recipes here: https://bitbucket.org/yt_analysis/yt_conda which we can use as a basis for distributing builds and setting them up on buildbots and the like. I'm pretty optimistic about this.
-Matt
On Thu, Aug 29, 2013 at 5:50 PM, Nathan Goldbaum
wrote: I think to get everything working in a sustainable fashion, we would need buildbots for all platform combinations that we want to support, so all permutations of the (32/64 bit, linux / OS X / windows, py27/py3.3) tuple. At the moment anaconda seems to support 32 and 64 bit linux, 64 bit OS X (not totally clear if OS X version matters), and 32 and 64 bit windows.
Another option is to rely on conda build, which compiles everything from source.
On Thu, Aug 29, 2013 at 2:45 PM, Stephen Skory
wrote:Hi all,
I have less of a skin in this than I used to, but I'd like to raise the issue of Windows & package managers. For example, Anaconda is available for Windows - would that mean that yt might "just work" on Windows? Or the opposite, and it would require a great deal of effort to get all the various things we expect to be .so's to work as .dll's (such as the Cython helpers or halo-finding stuff)?
I don't know the answers to these questions, but I think it's worth thinking about.
-- Stephen Skory s@skory.us http://stephenskory.com/ 510.621.3687 (google voice) _______________________________________________ yt-dev mailing list yt-dev@lists.spacepope.org http://lists.spacepope.org/listinfo.cgi/yt-dev-spacepope.org
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