Two more fvec chunks support inflation

Runs covtype (1 tree) to a depth of 10 now, with ~10000 total splits.
add 6 tree covtype.data RF with default params to test.py
Merge branch 'master' of github.com:0xdata/h2o
reduced timeout to 15 secs. hope that's enough for most machines
(we tend to need 3x the fast machines, to cover everyone)
poll at 0.5 sec delay for the covtype test, to see stack traces faster (before timeout ) (every 6th poll checks sandbox)
Do not do the byte-bin hack on class col

fails for 1-based classes, 'cause I yanked the bias'ing on byte col data
Increased -Xmx for test.py since it was dying with default JVM settings.
Number of total rows included in loaded chunks is needed to proper all
DataAdapter.isByte(...)
forgot to print the SEED on these 3 tests
h2o_cmd.py just a comment remove
Back to 1Gig, as 3 3Gig JVMs fails to launch on machines with 8gig ram
tighten sync block on mersennetwister init

could be made tighter yet, or even remove the sync with more work
setup to run large covtype as a junit

use ENTROPY instead of GINI, more depth, etc.
Optimize the Entropy.ltSplit method some

Keep running distribution totals, instead of recomputing each loop.
Keep track of distributions with but a single class (these have zero
gain).
Do not break ties randomly; nearly all ties are due to zero-gain splits
in leaves - which is time-expensive (see comment on *billions* of
tie-breaks) for miniscule prediction gain.
Fix bug with --ice_root vs -ice_root
RandomForestTest runs small mnist now
More hand-opts on addQValid
More optimization on the filter loop

Break out the left/right split from the histogram-update step.
The histogram update is expensive: more optimization there.
Invert the histogram loops, so the inner-loop strides across the
histogram
data in the favored way.  Seeing a doubling of performance there.
Fix ScoreTask NPE bug

Pass outputKey directly, instead of a vacuous ValueArray.
Beef fluid-vecs to support byte-only cols

For byte-sized data (0- to 255) with no NA's, just raw-copy the bytes.
In the Czech Republic, you can always pass the random SEED from the command line. Took michal's suggestion and moved the SEED init to shared code, and added -s <SEED> argument to python test*py command line, for reusing the random seed that a test failed on.  --random_seed works too. python test*py --help will show all current args.