* Reconstruct actor state when local schedulers fail.
* Simplify construction of arguments to pass into default_worker.py from local scheduler.
* Remove deprecated ray.actor.
* Simplify actor reconstruction method.
* Fix linting.
* Small fixes.
* 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.
* Make local scheduler start workers using the same version of Python that was used to start the local scheduler.
* Use current version of python to start new processes instead of hardcoded python executable.
* Fix linting.
* Test example applications in Jenkins.
* Fix default upload_dir argument for Algorithm class.
* Fix evolution strategies.
* Comment out policy gradient example which doesn't seem to work.
* Set --env-name for evolution strategies.
* 4 space indentation for actor.py.
* 4 space indentation for worker.py.
* 4 space indentation for more files.
* 4 space indentation for some test files.
* Check indentation in Travis.
* 4 space indentation for some rl files.
* Fix failure test.
* Fix multi_node_test.
* 4 space indentation for more files.
* 4 space indentation for remaining files.
* Fixes.
* write config to s3
* add train file
* write performance to S3
* writing needs to be fixed, replacing result.json at the moment
* update
* add experiment_id
* more logging and example queries
* update
* add info
* fill in other algorithms
* fix linting
* convert readme to rst
* fixes
* simplejson -> json
* make files executable
* edit README.rst
* unify storing logs in S3 and on local filesystem
* use 'info' entry in TrainingResult for algorithm specific info
* don't install smart_open with ray
* fixes
* linting fixes
* Updated task_profiles function to avoid future repetitive parsing.
* Fix indentation.
* Fixed according to comments.
* Included updated test for task_profiles function.
* Simplify test.
* Fix indentation.
* Fix.
* Start up webui on ray.init
* Removed .ipynb checkpoint folders.
* Removed print statements in cleanup function.
* Fixed
* Removed extra file.
* Cleaned up ui.
* Don't start browser automatically in ray.init(), also copy the notebook every time so that changes don't persist.
* Update setup.py and installation instructions to install jupyter.
* Don't automatically install jupyter, don't start the UI if jupyter is not installed.
* Improve error message when failing to start UI.
* Divide large get requests into smaller chunks.
* Divide fetches into smaller chunks.
* Wait longer in worker and manager before reissuing fetch requests if there are many outstanding fetch requests.
* Log warning if a handler in the local scheduler or plasma manager takes more than one second.
* added log_table function and a test
* fixed log_files and added task_profiles
* fixed formatting
* fixed linting errors
* fixes
* removed file
* more fixes
* hopefully fixed
* Small changes.
* Fix linting.
* Fix bug in log monitor.
* Small changes.
* Fix bug in travis.
* Including data_size and hash in the ResultTableReply.
* Included data_size and hash info in object_table.
* Fixed bugs in ray_redis_module.cc.
* Removing commented out code.
* Fixes
* Freed hash and data_size strings after using, and checked if they're null along with task_id and is_put.
* Changed it so that data_size is set correctly.
* Removed iostream import.
* Included a check to ensure that the Redis string to long long conversion was successful.
* Included separate data_size and hash null checks.
* Fixed bug.
* Made linting changes.
* Another linting error.
* Slight simplication.
* implement restarting workers after certain number of task executions
* Clean up python code.
* Don't start new worker when an actor disconnects.
* Move wait_for_pid_to_exit to test_utils.py.
* Add test.
* Fix linting errors.
* Fix linting.
* Fix typo.
* local scheduler
* redirect output files to be associated with workers rather than the local scheduler
* fixed formatting
* fixes
* Moved output redirection logic to worker.py.
* Changed write mode.
* Fixed formatting.
* Added comment.
* Reuse log file creation in services.py.
* Fix linting.
* Fix problem in which multiple processes attempt to create /tmp/raylogs at the same time.
