* Perform ray.register_class under the hood.
* Fix bug.
* Release worker lock when waiting for imports to arrive in get.
* Remove calls to register_class from examples and tests.
* Clear serialization state between tests.
* Fix bug and add test for multiple custom classes with same name.
* Fix failure test.
* Fix linting and cleanups to python code.
* Fixes to documentation.
* Implement recursion depth for recursively registering classes.
* Fix linting.
* Push warning to user if waiting for class for too long.
* Fix typos.
* Don't export FunctionToRun if pickling the function fails.
* Don't broadcast class definition when pickling class.
* Test examples for pep8 compliance.
* Make rl_pong example pep8 compliant.
* Make policy gradient example pep8 compliant.
* Make lbfgs example pep8 compliant.
* Make hyperopt example pep8 compliant.
* Make a3c example pep8 compliant.
* Make evolution strategies example pep8 compliant.
* Make resnet example pep8 compliant.
* Fix.
* Direction substitution of @ray.remote -> @ray.task.
* Changes to make '@ray.task' work.
* Instantiate actors with Class.remote() instead of Class().
* Convert actor instantiation in tests and examples from Class() to Class.remote().
* Change actor method invocation from object.method() to object.method.remote().
* Update tests and examples to invoke actor methods with .remote().
* Fix bugs in jenkins tests.
* Fix example applications.
* Change @ray.task back to @ray.remote.
* Changes to make @ray.actor -> @ray.remote work.
* Direct substitution of @ray.actor -> @ray.remote.
* Fixes.
* Raise exception if @ray.actor decorator is used.
* Simplify ActorMethod class.
* Make note about bug in which actor creation notification message is not received.
* Prevent actors from being created on removed nodes.
* Prevent actors from being created on nodes with no CPUs.
* Fix linting.
* Add test for scheduling actors on local schedulers with no CPUs.
* Improve error message when actors created before ray.init called.
* Change local scheduler bookkeeping to use GPU IDs.
* Update actor test.
* Add tests for actors and tasks simultaneously using GPUs.
* Add additional task GPU ID test.
* Fix linting.
* Make redis GPU assignment ignore GPU IDs.
* Small fix.
* copy task specifications put into the actor task cache so it won't get overwritten when the scheduler receives the next task
* cleanup
* cleanup and fix
* linting
* fix jenkins test
* fix linting
* Serialize lambdas with pickle by default.
* Serialize sets with pickle by default.
* Serialize types with pickle by default.
* Small update to documentation.
* Update tests.
* update documentation on how to set ulimit for Redis
* Move documentation to troubleshooting section.
* Add another section header.
* update redis file descriptor docs: simplify command
* Augment test to verify that relevant workers and actors are killed during driver cleanup.
* Fix bug in which we were only killing one worker when a driver exited.
* Fix remove driver test.
* Fix and augment test.
* Clean up state when drivers exit.
* Remove unnecessary field in ActorMapEntry struct.
* Have monitor release GPU resources in Redis when driver exits.
* Enable multiple drivers in multi-node tests and test driver cleanup.
* Make redis GPU allocation a redis transaction and small cleanups.
* Fix multi-node test.
* Small cleanups.
* Make global scheduler take node_ip_address so it appears in the right place in the client table.
* Cleanups.
* Fix linting and cleanups in local scheduler.
* Fix removed_driver_test.
* Fix bug related to vector -> list.
* Fix linting.
* Cleanup.
* Fix multi node tests.
* Fix jenkins tests.
* Add another multi node test with many drivers.
* Fix linting.
* Make the actor creation notification a flatbuffer message.
* Revert "Make the actor creation notification a flatbuffer message."
This reverts commit af99099c8084dbf9177fb4e34c0c9b1a12c78f39.
* Add comment explaining flatbuffer problems.
* Convert more local scheduler data structures to C++ STL.
* Convert vector pointer to vector.
* Convert some of the UT_arrays to std::vector.
* Simplify worker vectors.
* Simplify remote_object and local_object containers.
* Change some unnecessary checks to DCHECK.
* Use Arrow Tensors for serializing numpy arrays and get rid of extra memcpy
* fix nondeterminism problem
* mark array as immutable
* make arrays contiguous
* fix serialize_list and deseralize_list
* fix numbuf tests
* linting
* add optimization flags
* fixes
* roll back arrow
