Everything should be available now for 64 bit linux and OS X.


On Fri, Aug 30, 2013 at 10:52 AM, Chris Malone <chris.m.malone@gmail.com> wrote:
Hi Nathan,

That appears to work as it built the environment and `conda install ...` added packages to my environment.

One mistake I made was that I originally downloaded the "latest" OS X build of Miniconda, but that happened to be Miniconda3, which is python 3 based.  Trying to build the environment with that yields an error regarding incompatibility of yt and python3.3, as it should.

Chris


On Fri, Aug 30, 2013 at 10:42 AM, Nathan Goldbaum <nathan12343@gmail.com> wrote:
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 <chris.m.malone@gmail.com> 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 <nathan12343@gmail.com> 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 <nathan12343@gmail.com> 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 <s@skory.us> 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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