Hi--

Not sure why this is happening. Any chance you can reproduce it using one of the test datasets on yt-project.org/data?

I'll give that a shot in the morning and report back.

Thanks!

If I instead try quantities.total_mass(), I get an odd error.
>>> leaf_clumps[22].quantities.total_mass()
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/dcollins4096/local-yt-2014-08-27/src/yt-hg/yt/data_objects/derived_quantities.py", line 193, in __call__
rv = super(TotalMass, self).__call__(fields)
File "/home/dcollins4096/local-yt-2014-08-27/src/yt-hg/yt/data_objects/derived_quantities.py", line 160, in __call__
rv = super(TotalQuantity, self).__call__(fields)
File "/home/dcollins4096/local-yt-2014-08-27/src/yt-hg/yt/data_objects/derived_quantities.py", line 56, in __call__
sto.result = self.process_chunk(ds, *args, **kwargs)
File "/home/dcollins4096/local-yt-2014-08-27/src/yt-hg/yt/data_objects/derived_quantities.py", line 166, in process_chunk
for field in fields]
File "/home/dcollins4096/local-yt-2014-08-27/src/yt-hg/yt/data_objects/data_containers.py", line 248, in __getitem__
self.get_data(f)
File "/home/dcollins4096/local-yt-2014-08-27/src/yt-hg/yt/data_objects/selection_data_containers.py", line 749, in get_data
raise YTMixedCutRegion(self.conditionals, field)
yt.utilities.exceptions.YTMixedCutRegion: Can't mix particle/discrete and fluid/mesh conditions or
quantities. Field: ('all', 'particle_mass') and Conditions specified:
obj['contours_8d0408a91fc34e2bbe9eb838d48de46e'] == 1

This is happening because, as the error indicates, you can't combine mesh and particle quantities in a cut_region (like a clump is). The total_mass() quantity returns the total mass in particles and gas, so that's what's triggering the error. I bet this would work if you asked for the total gas mass only. Of course, that would only work if clump['cell_mass'] returned something sensible.

I build the clumps in the following manner. I don't have any validators by design. Plotting the clumps with annotate_clumps(leaf_clumps) gives reasonable results.

ds = yt.load(setname)
loc = ds.arr([ 0.03613281, 0.79589844, 0.03027344], 'code_length')
width = (0.05,'code_length')
sphere = ds.sphere(loc,width)
master_clump = Clump(sphere,"density")
use_particles=False, use_thermal_energy=False)
c_min = sphere["gas", "density"].min()
c_max = sphere["gas", "density"].max()
step = 2.0
find_clumps(master_clump, c_min, c_max, step)
leaf_clumps = get_lowest_clumps(master_clump)

Thanks a ton!
d.

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