yt-dev September 2009

yt-dev@python.org

7 participants
10 discussions

HaloProfiler overhaul
by Britton Smith 05 Oct '09

05 Oct '09

Greetings, I have just finished an extensive overhaul of the HaloProfiler that includes a bunch of new features, as well as completely changes the running syntax. Other than the addition of various new features, the main goals of this overhaul were: 1) to make the tool more general (mostly by removing hard-coded filtering by virial quantities), essentially allowing someone to profile a random list of points that may or may not be actual halos Easy filtering of halos by virial quantities remains an option, but is now simply a specific instance of something more general and far more powerful: a halo filtering device that allow the user to create their own filter functions to comb through radial profile data and decide whether a halo meets certain criteria. 2) to remove the dependence on an additional parameter file for the various options. The parameter file is now gone. Most of the HaloProfiler parameters have been turned into instantiation keyword args. The keyword list is now considerably longer, but the benefit is that the number of files needed to run this thing has been reduced from 2 (running script and par file) to just 1 (running script). There are a large number of keywords options that are specific to either the profile or projection routines that are taken in at instantiation and stored as attributes. This was done to keep those function calls simple. I'm curious to know peoples' thoughts on whether these keyword args should stay put or move to the individual function calls. Adding fields for profiling and projections have been moved to functions addProfile and addProjection. Here is a brief list of the new features that I can remember: - the halo list read routine can be easily customized to read in columned ascii data of varying formats through the use of a dictionary (see attribute self.halo_list_format) - ability to change the function call, args, and kwargs for the halo finder Profiles: - filter halo list with user-written filter functions (see new file HaloFilters.py for an example of a function to filter based on virial quantities) - extract and output scalar quantities from halos using the filter functions - pre-filter halos based on values in the initial halo list (skipping the profiling altogether and saving a load of time) Projections: - choose the axes to be projected (instead of hard-coded to all three) - easily select the list of halos to be projected (the total list, filtered list, a new file, or an actual list) Before I commit all this, I'd like a little feedback, mostly on the migration of the par file parameters to keyword args. I put three files in the pastebin for people to download. I chose not to submit a diff since the changes were so sweeping. The new HaloProfiler.py: http://paste.enzotools.org/show/178/ HaloFilters.py (should go in yt/extensions with HaloProfiler.py) http://paste.enzotools.org/show/179/ runHaloProfiler.py (an example script to run the new HaloProfiler) http://paste.enzotools.org/show/180/ I will try my best to write up full documentation for this as soon as possible, perhaps even today. Please let me know what you think. Britton

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New documentation
by Matthew Turk 30 Sep '09

30 Sep '09

Hi guys, I've been working in the evenings (and, today, during the day a little bit...) on the documentation. Britton, Stephen and Jeff have also chipped in and written a bunch. I've uploaded a new build of the docs (which will last until the next svn commit, at which point it'll be wiped and replaced with whatever is in SVN currently) to here: http://yt.enzotools.org/doc/ There are two new features I wanted to mention: * The cookbook ( http://yt.enzotools.org/doc/cookbook/recipes.html ) is programmatically generated from the cookbook repository ( http://hg.enzotools.org/cookbook ) and images are generated automatically as well. All other locations of examples will be wiped and either left empty or replaced with links or content programmatically generated from the cookbook repository. It is 100% my fault, but we have too many scattered, sometimes broken, sometimes outdated, undocumented examples all over the place. This is my attempt to fix that. * I've added comments to every page in the documentation using disqus.com. Currently you need an OpenID (gmail supplies this) to comment. All comments are aggregated on a single page on disqus's site, or they can be viewed threaded-inline in the docs. This can be expanded to accept Facebook logins, but I was hesitant on that. What are y'all's thoughts? Also, there are still some major blank spaces in the docs. I'm working on filling them in, as are other people (mentioned above). If you'd like to help out, pick out a spot, clone the yt-doc repo, add text or images or whatever, and I'll give you push privs. (Of course, as soon as you clone a repo, you already have commit privs. :) -Matt

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Parallel Processes Hanging
by Matthew Turk 27 Sep '09

27 Sep '09

Hi guys, Britton, Sam and Stephen have all reported to me at different times that it seems sometimes one of the processors in a parallel job hangs for a while then races to catch up at the end. Have any of you ever successfully done any localization of this problem? Figuring out where exactly it hangs? I think this would show up in per-processor profiling, and looking to see which functions take up the most time on processors, and disparities in that across procs. I'd *really* like to track this down, as it's now causing us some real problems. Thanks! -Matt

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Particles
by Matthew Turk 17 Sep '09

17 Sep '09

Hi guys, I've noticed several of you making commits about particles. (John, Britton, looking at you guys.) In recent versions of Enzo, I stuck in a dataspace supplement that pre-computes dataspaces for different particle types in each grid, which should makes things really cheap to read *only* star particles, or particles of a different type. I've put in support for this in the yt-hg repo, but the biggest problem with it was that I couldn't figure out the right way to address it -- so I'd like to put out there a question to you guys. In an ideal world, if you have some data object: data_obj what is the best way to be able to address particles of different types, and only get those particles? (Let's pretend either that IO is cheap, or we have the dataspace hack.) For instance, data_object.particles[type]["x"] # for instance or maybe, pf.h.particles[type].sphere(...) or something? What do you think? Any off-the-wall ideas? -Matt

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Colorbar handling
by Matthew Turk 16 Sep '09

16 Sep '09

Hi guys, Devin, Sam and Adam Ginsburg have done a lot of really great work on the colorbar handling. What I'd like to propose is that we take our existing gigantic routine and split it into a smaller handler function or class -- maybe something like RavenColorbar or YTColorbar. I'm willing to do this, but before I do I wanted to clear it with everyone. The way I am seeing it, the colorbar would be a wrapper around the matplotlib colorbar class, and it would handle some YT-specific stuff -- * Setting of datalabels, and knowing about units and so on * Setting of ticks for the sometimes pathological situations in which we find ourselves * Setting of ticks for the completely reasonable situations in which we also find ourselves * Intelligently plotting into axes * Notification handling (which is currently handled via a lambda for MPL 0.91.x compatibility I'd like to discard) What do you all think? I think having this as a base would be easier for invalidation of colorbars, which is where we're moving. The ultimate plan is to have a plot object and a colorbar object, and when certain actions are taken on either, one or both will be marked as "invalid" which would trigger a replot. This would be things like resetting the width, changing the limits, etc etc. Thoughts? -Matt

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VTK interface (and how this ties to the Raft)
by Matthew Turk 10 Sep '09

10 Sep '09

Hi everyone, As per Sam's request (offline) to get some info about how to use the VTK interface, I'm writing an email to start a dialogue about this. Right now, the VTK interface is exposed through the next version of reason, which is stored inside this mercurial repository: http://hg.enzotools.org/yt Here are the requirements: * VTK * ETS If you install VTK, be sure to install the Python bindings. During the cmake phase, you will have to ensure that the Python interpreter pointed to is the same one you used to install yt. You *may* have to manually edit the CMakeCache file to ensure that it does *NOT* install with a "--prefix" command, which will confuse the situation. I will speak below, briefly, about my feelings on the Raft and how it plays into all of this. Once you have installed VTK, you should be able to install ETS (code.enthought.com) with $ easy_install "ETS[nonets]" but, if not, do a manual source install. This will involve a couple more steps -- getting ETSProjectTools, running "ets co ets" and then doing "ets develop" in the ets directory. Alternatively, the newest EPD (5.0) is supposedly far more stable and easy to install and get working on OSX. Check out the hg and update to branch 'yt'. Now execute the command: $ python2.5 yt/reason/reason_v2.py and you will have access to the next-gen GUI. Open up a parameter file and you then have access to the VTK interface by right clicking on the parameter file in question. This is a developing project that I haven't really played with in a few months. However, it can do isosurfaces, marching cubes, cutting planes, box outlines, camera paths (save to a file, even, and export to Amira format) and some other stuff. It's also stereo-enabled. With John Wise's work on a software-volume renderer (and any future developments on that) hopefully this will also become a gateway for setting up renderings of datasets after prototyping. I know that Sam Skillman has also expressed interest in using this as a platform for rendering. Okay, so, that was kind of a pain, right? Well, that's where the Raft came in. I began the Raft project when I saw how the FEMhub guys had undertaken the task of getting Mayavi2 and its dependencies (Traits, VTK, etc etc) installed in a simple, cross-platform manner. Right now, it already installs VTK and Traits (not on OSX, but that should change by endofthemonth according to Ondrej Certik and Prabhu Ramachandran) and I am working on getting wxPython to install as well, as available. If I can get wxPython to go, then we should be 100% set up for running this next-gen GUI with embedded VTK. However, an additional and awesome feature of the Raft (that I cannot take any credit for) is that it includes off-screen rendering, done via Mesa. If the VTK code I've written can be refactored to have the rendering independent of the GUI, then this will also become a viable mechanism for rendering. I've done this, via monkeypatching and hackery, already with a RAFT notebook -- I made some images of a cosmology dataset, rendered with Mesa, using VTK widgets, displayed through a web browser. If anyone is interested I can post that worksheet. Sam, if you run into any problems, please feel free to reply to this message so we can figure them out together and move forward. I'm very excited about all this, and I'd really like to bring more people on board with developing the VTK interface and the GUI. I've been in touch with Prabhu from the MayaVi project, and he has sent me a patch to read in MultiBlock data in MayaVi. Currently we use the HierarchicalBoxDataSet, which I've modified the patch to support as well. I'd like to continue working on that project, but I might need some help in that department from other people -- but if we can get our data into MayaVi, that would be a huge step forward in usability and exploration. -Matt

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RAFT issues and things to bring up
by Matthew Turk 09 Sep '09

09 Sep '09

Hi guys, So I gave my first YT tutorial using the RAFT today. I ran the RAFT on Triton and accessed it locally; everything "just worked" and we were very productive. There are some issues that still need to be investigated and examined, which I am including here. I'd appreciate it if anyone who has used this could contribute their thoughts. * Currently, not all the widgets for interaction inside the raft do not work with just Raft. They have some deeper Sage dependencies. I've spoken with people at the Sage project, and they are going to be working on rewriting the notebook engine at the end of this month, which will fix this issue. * Printing PDFs of the notebook lets images jut off the edge of the page, which ends up cropping them. * MPI jobs can't currently be dispatched. It's not clear to me, but I personally believe this can be overcome and that we will be able to launch parallel processes from within the RAFT. Launching them from a queuing system might not be possible, but on a single machine I think it'll be possible. * Currently everything is stored in ~/.spd, but I'd like to change that to ~/.raft. * Distributing worksheets and converting down to Python code is a bit sticky at the moment, but I'm going to investigate ways to make this easier. * I've asked around a bit about uploading worksheets to a repo and then downloading them remotely. If this requires little to no effort to set up on the server end -- i.e., turnkey solution -- I'll write up something to upload from the notebook interface. (If such a thing doesn't already exist, and it might!) Does anyone else have anything to offer? Other issues or sticky bits that I have overlooked? As far as releases go, updating the spkgs and builds is pretty easy -- I am wondering if maybe we should just aim for a monthly release schedule for RAFT, rather than version numbers. We now have builds at http://raft.enzotools.org/files/ for the following systems: kraken osx ranger rhel4-x86_64 triton ubuntu32 Thoughts, anyone? -Matt

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New installation mechanism: the RAFT
by Matthew Turk 07 Sep '09

07 Sep '09

Hi everyone, As some of you know, I've been working on a fork/port/rebranding of the FEMhub(dot org) framework. FEMhub itself is a fork of SAGE, which you can find at sagemath.org. Basically, SAGE and FEMhub are designed to be fully self-contained, web-based interfaces to finite element computation systems (FEMhub) and symbolic math systems (SAGE). Both are pretty amazing, and SAGE itself is a strong competitor with Maple and Mathematica. With that out of the way, I'd like to take a moment to focus on a couple aspects of this. I saw this talk on FEMhub at SciPy 2009 by Ondrej Certik (more from Ondrej here: http://ondrejcertik.blogspot.com/2009/08/scipy-2009-conference.html ) where he described the development of FEMhub from a project called SPD (source python distribution.) These projects started as stripped down versions of SAGE, but now serve as generic Python installation mechanisms. The upside of this is that these projects can easily install complete python distributions, there is a large selection of existent packages available, and they even can (optionally) present web-interfaces to the complete python installation. I'll return to the idea of the web-interface in a moment, because at first I didn't really care about that but I have since come to. FEMhub actually has created and includes off-screen rendering mechanisms for VTK and OpenGL which work through the web notebook, which I think is pretty neat. However, you don't *have* to use it through the web -- all the python and everything you're familiar with works out of the box, and (best yet) it handles all the setting of library-loading and environment variables. So here's what's up: I've taken FEMhub and rebranded it with a new name, RAFT. I've stripped out a bunch of the finite element codes and added in HDF5, h5py, and yt. In doing so, I believe I have completely replicated *and supplemented* the installation script, using a framework that has been externally developed and which continues to be developed externally. My installation scripts pale in comparison to the quality control that the SAGE project demands -- their system is much more robust than what we use, and it includes more packages. The RAFT project now benefits from this QA effort. In the past, we've avoided including any code in yt that even *uses* scipy, simply because scipy is traditionally so difficult to install. FEMhub/SAGE/RAFT simply *work*, and they come with SciPy. Additionally, they come with the entire MayaVi distribution, which is not only able to render, but to render off-screen the need be. We get a lot of fun stuff with this, and it works on a ton of different systems without any hackery on the part of the user. Now, if I can speak for a moment about the web notebook. This is something I still haven't figured out my feelings on, but I can tell you all this: it works seamlessly with yt with no modifications, which is more than I can say for other web-based interaction mechanisms I have tried. I was able to import yt, load a data file, add plots, and then whenever "save" is called they just show up in the web browser. Additionally, because it binds only to localhost and contains authentication mechanisms, this is accessible through ssh forwarding and should be considered feasible for running at supercomputer centers. Okay. So. I think the modifications all work, and I've rebranded much of the Notebook. I have a couple more decisions to make on the back end about package distribution. * Do we install VTK/MayaVi by default? This adds some compilation time. But, it also enables us to do 3D rendering more easily. I'm inclined to say no, because it can be automatically downloaded/installed by the raft command. * Do we completely replicate the SAGE spkg distribution mechanism on enzotools.org? This would enable us to have finer-grained control as well as to distribute personal packages, but we'd also have to stay up to date with upstream bug fixes *manually*. * What role should the notebook play? I was immediately and extremely opposed to this when I first saw it; but I have since warmed to it considerably, because of the ease-of-development, inline help, repeatable analysis, export/import capabilities and PDF output. It seems likely to me that this would be a very easy mechanism for new users, and we can distribute tutorial sheets *with* the RAFT, which users can step through on their own to learn both Python and yt. * Does anyone else want to help keep up with changes upstream, help with rebranding, and all-in-all test this out? SO! On to the testing part. You can test the RAFT 0.1 alpha distribution by snagging it here: http://raft.enzotools.org/files/raft-0.1a.tar.bz2 You should ensure that no YT files are in your PATH or LD_LIBRARY_PATH -- we're doing this all fresh. Then, $ tar xvfj raft-0.1a.tar.bz2 $ cd raft-0.1a $ make and you should get an install, a little bit later. On triton it was pretty fast. You can now set your PATH to include /wherever/raft-0.1a/local/bin and when you run python2.6 you should get a yt installation. Now, you should be able to run anything you like. Running the command "raft" inside the raft-0.1a directory will give you a modified IPython. It might be fun to start that up, and type: notebook(port=[something]) where [something] is some unused port. I like 7741. On your local machine, you can then type: $ ssh -L 8000:localhost:7741 remote-host.org and when you open up a web browser and point it to localhost:8000, you'll get your notebook interface. It's authenticated, so you'll need a u/pw combo, but the first time you start the notebook it'll prompt you. You can then add plots or whatever and anaylze any data accessible to you on that system. When a new PNG file is added (i.e., via the save() command on a PlotCollection) it will get included in the cell directly. Be sure to ctrl-c out when you're done. The "raft" command is pretty powerful, and you should also be able to install things with it. Okay, that's a long enough email. I'm going to work on this a little bit more, but I'd *REALLY* appreciate it if you guys could just try installing and using it on a machine or two that you have access to. I intend for this to replace the installation script, but until it's definitely working, we can't really do that. :) Thanks! -Matt

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Phase Object Plot bug in r1396
by Sam Skillman 04 Sep '09

04 Sep '09

Hi all, There seems to be a bug introduced in r1396 when making phase objects with the plot collection. This was tricky to find because it only appears if you remove the build directory (and then run a python setup.py install) in yt-trunk-svn/ as well remove any old .yt files for datasets you're analyzing. However, if you do so, any phase_object plots show up empty for r1396-current. It seems to be the changes in yt/raven/PlotTypes.py even though the profile plots are RavenPlots and not VMPlots. Anyone have any ideas on how a change to VMPlot could carry over to ProfilePlot? You can use yt-trunk-svn/test/DD0010/moving7_0010 as a test. Here is the script I use for making the phase plot: from yt.mods import * pf = EnzoStaticOutput('moving7_0010') pc = PlotCollection(pf, [0.5]*3) wb = pf.h.region([0.5]*3, [0.0]*3, [1.0]*3) pc.add_phase_object(wb,['Density','Temperature','CellMassMsun'],weight=None,lazy_reader=True) pc.save('test_phase') Thanks, Sam -- Samuel W. Skillman DOE Computational Science Graduate Fellow Center for Astrophysics and Space Astronomy University of Colorado at Boulder samuel.skillman[at]colorado.edu

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Hierarchy optimization
by Matthew Turk 01 Sep '09

01 Sep '09

Hi everyone, The rewritten hierarchy now passes all the unit tests. You can inspect this branch in this repository: http://hg.enzotools.org/yt/ in the named branch hierarchy-opt . The Orion hierarchy will need to be converted (Jeff and I can talk about this offline) but overall I think the new mechanism for instantiating and creating hierarchies is now extremely straightforward, and will suit itself better to new AMR formats. You can see the outline here: http://hg.enzotools.org/yt/file/hierarchy-opt/yt/lagos/HierarchyType.py#l201 This is the base class, and other hierarchies just have to implement those functions to be real. The enzo hierarchy instantiation should be marginally faster and might use a bit less RAM. However, I still need to work on both reorganizing the DataQueue and the Grid objects, which will become smaller (eliminating some data members) and faster. I intend to eliminate at least one dictionary in the grid object. (Each dictionary removal drops 1K per object -- for the L7, this would be 300 megs per dict.) If you'd like to take a look, please do so, and let me know how it works out. You can do this with: hg clone http://hg.enzotools.org/yt/ ./experimental-yt cd experimental-yt hg up -C hierarchy-opt Best, -Matt

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yt-dev September 2009