Packaging.
by Matthew Turk
Hi all,
We need to figure out yt packaging. This is becoming increasingly
hard, particularly as the number of dependencies grows. (The upgrade
to IPython 1.0 and Matplotlib 1.3.0 has caused several issues, which
spurred this discussion.)
As it stands, we mainly provide yt through the install script. Every
time a new version comes out, we check compatibility, we update the
install script, and we deploy that. Unfortunately, as packages evolve
externally to yt, this results in occasional breakages, new (implicit)
dependencies, and complexity that goes super-exponentially. I like
the install script, and it is what I use, but I think we need to
re-strategize. It was built many years ago when packaging was a
different landscape, and when we needed a way to get a relatively
small number of dependencies onto a relatively small set of system
types.
Every day, it seems, brings another problem with the install script.
Not all of these are our fault. But more importantly, I don't think
we should be spending our time on them, when we can only bandaid
something for so long before it's not workable.
That being said, installation is the single biggest impediment to
people using yt, so we need to ensure it is still easy and simple.
There are a few options for other installation procedures. I would
like to retain a stripped down version of the install script for ease
and simplicity, but removing many of the optional installs and
focusing instead on the core packages.
So here are the options. I'd prefer we choose *one* as the primary
method, and then we (potentially) demonstrate how to use the others.
As a note, part of this process will also be the relicensing as BSD
and shoring up our source-based installations, ensuring that they are
correctly packaged, following best-practices guidelines for Python
source. I believe I may have dropped the ball somewhat on that front.
* Conda / Anaconda: This package manager is gaining traction, and I
think that once relicensing is done we stand a good chance of being
included in the base install. This would mean that someone could
download Conda and just use it. Even without that inclusion, however,
I've heard good things. Conda is based on binary distributions, but
we could also manage our own packaging (potentially in an automated
way) and update with some frequency. Conda is also somewhat tied to
the Wakari platform, and being part of Conda would mean being
available on the IPython-in-the-cloud that is Wakari. I believe this
works well on supers.
* Canopy: This is the Enthought package manager, which Sam has had
some good experience with it. I do not have a feeling for how it
works on supers.
* Source-only: This is the way some packages are managed, but it is
essentially giving up, and while I think it is a good way to go
forward, I'm not sure we'll ever be trivially pip-installable.
* Keep trying to plug holes as they come up in the install script.
What I think would be very productive is to hear people's experiences
with these package managers. Sam, Nathan, anybody?
Focusing on a platform-specific manager (brew, macports, apt, rpm) is
a non-starter; they are good options, and we should develop a protocol
for supporting platform-specific packaging systems, but they
bottleneck quite seriously on person-time and we should think
carefully before we tie ourselves to one.
-Matt
PS The period in the subject line was editorial. I'd very much like
to settle on a path for all of this stuff; packaging remains one of
the hardest issues in scientific python, as Software Carpentry has
noted time and again. We're now pushing the install script, which is
great for clusters, but it's a remnant of a time before packaging in
Python was as mature as it is now, and before we had as many corner
cases as we do now -- not because they didn't exist, but because we
didn't have enough users to see them.
5 years, 6 months
Frontend tests
by Matthew Turk
Hi all,
I'd like to bring up the topic of frontend tests.
As it stands, we have answer tests for a few frontends, and a large
amount of sample data for other frontends. The answer tests are fine,
but they are also somewhat ... difficult to write and come up with. I
believe that they should still exist inside the main repo.
However, what I'd like to propose is a new repository
("frontend_tests" perhaps?) that includes scripts for each frontend
that load data, save images, and that we will then *version* a set of
results images and data inside. This repository will be allowed to
grow larger than we'd like the main yt repository to grow, and it
would also mean that we could use normal pull request mechanisms for
updating results, rather than AWS S3 uploads with keys and so on.
My idea was that it would include something like a helper function
library (for common routines like "what is the current version of the
code" and "commit a new version of this image") and would also include
image-generating scripts and mechanisms for viewing images. The idea
is that you would run a script at the top level and it would spit out
a bunch of images or data, and there would be templates of HTML that
you could view old-versus-new. This could then be integrated into our
CI system (I spoke with Kacper about this previously). It would serve
two purposes:
1) Display results as a function of the current iteration (these
results would not be quantitatively assessed; this would be the
function of the answer testing we already have)
2) Tell us if loading a dataset or frontend breaks
3) Light quantitative result analysis
I'm planning to create a repository similar to this regardless (for
demonstrating frontend scripts) but I'm bringing it to the list to see
if it is alright to host under the main yt_analysis team on Bitbucket
and to integrate into testing. Does this appeal to anyone? I imagine
it could be much simpler than creating new answer tests.
-Matt
5 years, 6 months
yt Strategy Meeting Monday the 22nd
by Matthew Turk
Hi all,
I'd like to call a brief, approximately one hour, strategy meeting on
Monday, April 22nd at 3PM Eastern. This will cover where yt is at,
where we can go, and how things are progressing. Some of this will be
dedicated to progress updates (from me and others) as well as
soliciting feedback on a number of things. Many other projects --
notably Cactus -- do these on a fixed schedule, so based on the
success/failure of this one we can consider having them
semi-regularly.
The agenda I would like to cover will include:
* yt 3.0 status, including near/long term plans for development and
support for non-grid codes
* Rundown of all YTEPs accepted and outstanding
* yt's "presence" on the web
* 3.0 paper
I will also be soliciting feedback in roundtable style on:
* How are we doing?
* How is the procedure for code contributions working?
* How is the yt "infrastructure" meeting people's needs? (Mailing
lists, Bitbucket, etc)
* Where are energies being spent that could be better spent elsewhere?
If you have either agenda items or discussion items, please reply to
this email and suggest them.
I think having a large presence at this meeting would be very useful,
so if you are able to make it, please try to do so. It'll be held as
a google hangout, and I'll send details here when it starts up. If
there's a pressing need to reschedule, please write in reply to this
email.
Thanks, and looking forward to seeing you there,
Matt
5 years, 6 months
Documentation Sprint and Creating BB Issues When You See a Gap
by Cameron Hummels
Hey peeps,
After talking with Matt at some length about the yt documentation, we
thought it might be a good idea to have a documentation sprint in a few
months when we've moved over to yt 3.0 as the focus of our development.
The docs in general are good, but there are some gaps here and there with
some functionality not present in the documentation. I'm not proposing an
entire (or even partial) rewrite of the docs, as I think that would be
counterproductive. I'm simply thinking we could fill in the holes to make
sure all of the cool stuff in yt is written up so people know how to use it.
Now, I know doc writing is not often fun, but I think this could be really
beneficial to our user base, and actually cut down on the amount of time we
have to respond to new users on the mailing list and irc (as well as making
it easier for people to use yt).
What I'm asking from you is if you encounter something that you don't think
is well documented in the formal docs (not simply the docstrings), could
you take a moment to create a bitbucket issue about it? You don't even
have to fix it then, just note it, so we know where to work when we do the
sprint in a few months.
Anyone else have any other ideas about this?
Cameron
--
Cameron Hummels
Postdoctoral Researcher
Steward Observatory
University of Arizona
http://chummels.org
5 years, 6 months
cell padding in RegionSelector
by Douglas Harvey Rudd
Hi all,
Matt and I are finishing up our changes to the selector functions and ran into a feature which may or may not be currently used.
In RegionSelector, there is a parameter _dx_pad to allow for cells just outside the selected region to be included. Is anyone using
that feature or can it be deprecated?
Douglas Rudd
Scientific Computing Consultant
Research Computing Center
drudd(a)uchicago.edu
5 years, 6 months
Issue #640: Enable changing the location of a SlicePlot (yt_analysis/yt)
by Stuart Mumford
New issue 640: Enable changing the location of a SlicePlot
https://bitbucket.org/yt_analysis/yt/issue/640/enable-changing-the-locati...
Stuart Mumford:
I would like to be able to animate changing the location of a SlicePlot, i.e. sweeping through a domain.
Something like this
```python
slc = yt.SlicePlot(ds_h5, 'z', 'VortXmag', origin='left-domain', center=(1e8,1e8,10*12.5e5))
slc.set_window_size(8)
fig = slc.plots['VortXmag'].figure
def animate(i):
slc.set_center((1e8,1e8,i*12.5e5))
animation.FuncAnimation(fig, animate, frames=range(0,127,2), interval=50, blit=True)
```
5 years, 7 months
