* Rebase Ray on top of Plasma in Apache Arrow
* add thirdparty building scripts
* use rebased arrow
* fix
* fix build
* fix python visibility
* comment out C tests for now
* fix multithreading
* fix
* reduce logging
* fix plasma manager multithreading
* make sure old and new object IDs can coexist peacefully
* more rebasing
* update
* fixes
* fix
* install pyarrow
* install cython
* fix
* install newer cmake
* fix
* rebase on top of latest arrow
* getting runtest.py run locally (needed to comment out a test for that to work)
* work on plasma tests
* more fixes
* fix local scheduler tests
* fix global scheduler test
* more fixes
* fix python 3 bytes vs string
* fix manager tests valgrind
* fix documentation building
* fix linting
* fix c++ linting
* fix linting
* add tests back in
* Install without sudo.
* Set PKG_CONFIG_PATH in build.sh so that Ray can find plasma.
* Install pkg-config
* Link -lpthread, note that find_package(Threads) doesn't seem to work reliably.
* Comment in testGPUIDs in runtest.py.
* Set PKG_CONFIG_PATH when building pyarrow.
* Pull apache/arrow and not pcmoritz/arrow.
* Fix installation in docker image.
* adapt to changes of the plasma api
* Fix installation of pyarrow module.
* Fix linting.
* Use correct python executable to build pyarrow.
* Compile the Ray redis module with C++.
* Redo parsing of object table notifications with flatbuffers.
* Update redis module python tests.
* Redo parsing of task table notifications with flatbuffers.
* Fix linting.
* Redo parsing of db client notifications with flatbuffers.
* Redo publishing of local scheduler heartbeats with flatbuffers.
* Fix linting.
* Remove usage of fixed-width formatting of scheduling state in channel name.
* Reply with flatbuffer object to task table queries, also simplify redis string to flatbuffer string conversion.
* Fix linting and tests.
* fix
* cleanup
* simplify logic in ReplyWithTask
* Implement actor field for tasks
* Implement actor management in local scheduler.
* initial python frontend for actors
* import actors on worker
* IPython code completion and tests
* prepare creating actors through local schedulers
* add actor id to PyTask
* submit actor calls to local scheduler
* starting to integrate
* simple fix
* Fixes from rebasing.
* more work on python actors
* Improve local scheduler actor handlers.
* Pass actor ID to local scheduler when connecting a client.
* first working version of actors
* fixing actors
* fix creating two copies of the same actor
* fix actors
* remove sleep
* get rid of export synchronization
* update
* insert actor methods into the queue in the right order
* remove print statements
* make it compile again after rebase
* Minor updates.
* fix python actor ids
* Pass actor_id to start_worker.
* add test
* Minor changes.
* Update actor tests.
* Temporary plan for import counter.
* Temporarily fix import counters.
* Fix some tests.
* Fixes.
* Make actor creation non-blocking.
* Fix test?
* Fix actors on Python 2.
* fix rare case.
* Fix python 2 test.
* More tests.
* Small fixes.
* Linting.
* Revert tensorflow version to 0.12.0 temporarily.
* Small fix.
* Enhance inheritance test.
* Added helper class for getting tf variables from loss function
* Updated usage and documentation
* Removed try-catches
* Added futures
* Added documentation
* fixes and tests
* more tests
* install tensorflow in travis
