Re: [yt-dev] gdf frontend and standards in tension?

30 Jan 2014

      Stuart,

Wow, a parallel gdf writer? I was planning to add that sometime next week
or so. I'd like to know how you approached it. I was simply thinking of
having a flag to only write a data-only "sidecar" file that would use HDF5
links in the master file for grids on other cores. Please let me know if I
can help integrate what you've done into this framework.

Jeff

On Thu, Jan 30, 2014 at 11:09 AM, Stuart Mumford wrote:
...
Interesting!!
I will have a look over this, I wrote a parallel compatible version of
this code a while back I will try and get it working within your
module.
Stuart
On 29 January 2014 22:22, j s oishi  wrote:
...
Hi all,
I've adapted yt's gdf_writer.py into a standalone class called pygdf
(https://bitbucket.org/jsoishi/pygdf). I've done this so that any python
code can now save data in the gdf format.
While doing this, I came across something in the yt gdf frontend that I'm
not quite sure I understand. In the grid metadata, yt expects
/grid_particle_count to be a 2-D array, but the gdf standard clearly
states
this should be a 1-D (int64, N) array, where N is the number of grids.
Further complicating the issue is the fact that if I create a 1-D array
for
/grid_particle_count, the failure point in the following script
from yt.mods import *
pf = load("/tmp/blah.gdf")
sp = SlicePlot(pf, 2, "Density")
is actually in data_objects/grid_patch.py, not in the gdf frontend
itself.
The file /tmp/blah.gdf can be generated by running the test.py script in
pygdf.
The obvious workaround is to simply make /grid_particle_count a 2D array
(this is especially so since I'm not actually using particles at the
moment), but I'm not sure why this should be so. The total count of
particles in N grids seems to be better fit in a 1-D array to me.
However,
I'd like to understand better what's going on. Any pointers or
clarification
would be very helpful.
Also, any feedback on pygdf would be most welcome!
thanks,
j
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