Starting material

Python scripts from ../ref
analysis_evaluate from ../alg_sobol
Doesn't handle empty hypervolumes

But appears to work otherwise.

Need to change behavior.  Hypervolume is so expensive to compute
that it's going to take forever.  What behavior do I want, then?

(1) Create temporary objectives-only sets file if it doesn't
    already exist.
    Mirror the sets directory structure for these temporary
    sets files, so that we don't accidentally clobber.
(2) Using rules about what counts as a delimiter, step through
    the sets file until you get to where you left off.
(3) Create another temporary file that has just one set in it.
    Evaluate metrics.  If the set is empty, skip this step.
(4) Append to hypervolumes file.  If the set is empty, just
    write an appropriate number of zeros.

How can we speed this up?  Ah, I see wfg2.  That's key.
Crucially calls the wfg2 executable.

Where's the wfg2 source?
More sensible temp file naming

Also, deal with header, seed, and set
Does nothing yet.

Just returns an empty list
Properly accounting for empty sets now.
Empty row 0 Inf Inf 0 Inf Inf

Because Pandas knows how to deal with inf properly.

Also not calling close() on a string.
Ready for mass-production

Submit writes a pbs script that invokes compute_hypervolumes.
I like this division of labor.
Allowing lines with nothing but spaces in them.
Added single-seed submission
if seed is not None: rather than if seed:

because 0 evaluates to false!
Strip dvs
Merge branch 'master' of github.com:matthewjwoodruff/moeasensitivity
Short license and better comment up top
Better comment up top
License and comment at top.
License and descriptive comment
License and explanatory text.

Also deleted a couple of unused imports.  Hope that didn't break
anything.
LGPL3