Oh, right.  I can do
pf.h.boolean([pf.h.all_data(), "NOT", clump])
?


On Fri, May 17, 2013 at 1:41 PM, Matthew Turk <matthewturk@gmail.com> wrote:
On Fri, May 17, 2013 at 3:39 PM, David Collins <dcollins4096@gmail.com> wrote:
> Is there an easy way to turn
>   data._get_cut_mask(grid)
> into an AMR region?
>
> Then I could just do a boolean "or" on those regions from each of the
> regions?

Oh, you want to do it grid-by-grid?  I assumed that you were operating
on the full clump.  If you have the full clump, you can feed that
(which should be an AMRExtractedRegion) to the boolean object.

And now that I think about it, AMRExtractedRegion is what should have
the _flush_to_grids method.

>
> d.
>
>
> On Fri, May 17, 2013 at 1:34 PM, Matthew Turk <matthewturk@gmail.com> wrote:
>>
>> On Fri, May 17, 2013 at 3:31 PM, david collins <dcollins4096@gmail.com>
>> wrote:
>> > Hi, all--
>> >
>> > I have a clump that I've gotten with the clump finder.  I'd like to
>> > paint
>> > those zones of that clump with a flag, so I can exclude that region from
>> > other analysis.  I'm a little stuck on how to get this done-- I feel
>> > like it
>> > needs to involve clump.data._flush_data_to_grids and a cut_mask, but I'm
>> > a
>> > little stuck on how to define the field that I flush_to_grids.
>> >
>>
>> I have to think about specifically how you might do this, but I do
>> believe that you can probably accomplish what you're looking for by
>> using a boolean region.
>>
>> > Specifically, how to get the cut_mask information to the field, and how
>> > to
>> > avoid clobbering the paint from one clump with another (or, from one
>> > grid
>> > with another)
>> >
>> > I'm trying to do something like:
>> >
>> > <code>
>> > for grid in clump.data._grids:
>> >     cut_mask = clump.data._get_cut_mask(grid)
>> >     def masked_region(field,data):
>> >         cut_mask = data.get_field_parameter('cut_mask', None)
>> >         try:
>> >             base = data['masked_region']
>> >         except:
>> >             base = na.zeros(data['Density'].shape)
>> >         if cut_mask is not None:
>> >             base = na.maximum(base,cut_mask)
>> >         return base
>> >
>> >
>> > add_field('masked_region',function=masked_region,validators=[ValidateGridType()],
>> > not_in_all=True)
>> >     grid.set_field_parameter('cut_mask',cut_mask)
>> >     print grid, cut_mask.sum(), grid['masked_region'].sum()
>> > clump.data._flush_to_grids('masked_region',0)
>> > </code>
>> >
>> > but clump['masked_region'].sum() only returns the flagged zones in the
>> > first
>> > of the grids.
>> >
>> > I feel like this is something I've done before, but can't find any
>> > reference
>> > to it in my email or old scripts.  Apologies if this has been answered
>> > elsewhere, or it's obvious and I'm being thick.
>> >
>> > Thanks!
>> > d.
>> >
>> >
>> >
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>> >
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