New issue 1212: SPH and Octree AMR Datasets Failing in volume rendering, OAProj, Interactive Data Viz https://bitbucket.org/yt_analysis/yt/issues/1212/sph-and-octree-amr-datasets...
This similar to Issues #788, #986, #1008, #1183, but I think this description generalizes and distills all of these problems.
It appears that all particle-based (or Octree-based) datasets are segfaulting when one attempts to do anything involving the KDTree with them. The following three scripts all fail with the same result:
import yt ds = yt.load("gizmo_cosmology_plus/snap_N128L16_151.hdf5") L = ds.arr([1,0,0], 'unitary') yt.OffAxisProjectionPlot(ds, L, 'density').save() ```
import yt ds = yt.load("gizmo_cosmology_plus/snap_N128L16_151.hdf5") im, sc = yt.volume_render(ds, 'density', fname='rendering.png')
import yt ds = yt.load("gizmo_cosmology_plus/snap_N128L16_151.hdf5") yt.interactive_render(ds) ```
These all fail with some variation on this output:
Failed to split grids. Failed to split grids. Segmentation fault ```
The above scripts each use the publicly available dataset `gizmo_cosmology_plus`, but one gets similar results by using the same simple commands on any of the SPH datasets on http://yt-project.org/data/ e.g. `TipsyGalaxy`, `snapshot_033`, `GadgetDiskGalaxy`.
Notably, however, when you run the same script with Octree-based AMR outputs, you get similar results. Example datasets that do this are Ramses (e.g. `output_00080`), and ART (e.g. `D9p_500`).
These scripts were run on an OS X installation with the tip of yt-dev (843a342ee510).