* In progress.
* In Progress.
* Finish the working version.
* Write a documentation.
* Addressed code review.
* Fix lint error.
* Lint.
* Addressed code review. Make test less flaky.
* Use a random port for ray start.
* Modify doc.
* Make write atomic.
* Cross language serialization for Java and Python
* Use strict types when Python serializing
* Handle recursive objects in Python; Pin msgpack >= 0.6.0, < 1.0.0
* Disable gc for optimizing msgpack loads
* Fix merge bug
* Java call Python use returnType; Fix ClassLoaderTest
* Fix RayMethodsTest
* Fix checkstyle
* Fix lint
* prepare_args raises exception if try to transfer a non-deserializable object to another language
* Fix CrossLanguageInvocationTest.java, Python msgpack treat float as double
* Minor fixes
* Fix compile error on linux
* Fix lint in java/BUILD.bazel
* Fix test_failure
* Fix lint
* Class<?> to Class<T>; Refine metadata bytes.
* Rename FST to Fst; sort java dependencies
* Change Class<?>[] to Optional<Class<?>>; sort requirements in setup.py
* Improve CrossLanguageInvocationTest
* Refactor MessagePackSerializer.java
* Refactor MessagePackSerializer.java; Refine CrossLanguageInvocationTest.java
* Remove unnecessary dependencies for Java; Add getReturnType() for RayFunction in Java
* Fix bug
* Remove custom cross language type support
* Replace Serializer.Meta with MutableBoolean
* Remove @SuppressWarnings support from checkstyle.xml; Add null test in CrossLanguageInvocationTest.java
* Refine MessagePackSerializer.pack
* Ray.get support RayObject as input
* Improve comments and error info
* Remove classLoader argument from serializer
* Separate msgpack from pickle5 in Python
* Pair<byte[], MutableBoolean> to Pair<byte[], Boolean>
* Remove public static <T> T get(RayObject<T> object), use RayObject.get() instead
* Refine test
* small fixes
Co-authored-by: 刘宝 <po.lb@antfin.com>
Co-authored-by: Hao Chen <chenh1024@gmail.com>
* Remove all __future__ imports from RLlib.
* Remove (object) again from tf_run_builder.py::TFRunBuilder.
* Fix 2xLINT warnings.
* Fix broken appo_policy import (must be appo_tf_policy)
* Remove future imports from all other ray files (not just RLlib).
* Remove future imports from all other ray files (not just RLlib).
* Remove future import blocks that contain `unicode_literals` as well.
Revert appo_tf_policy.py to appo_policy.py (belongs to another PR).
* Add two empty lines before Schedule class.
* Put back __future__ imports into determine_tests_to_run.py. Fails otherwise on a py2/print related error.
* Stream logs to driver by default.
* Fix from rebase
* Redirect raylet output independently of worker output.
* Fix.
* Create redis client with services.create_redis_client.
* Suppress Redis connection error at exit.
* Remove thread_safe_client from redis.
* Shutdown driver threads in ray.shutdown().
* Add warning for too many log messages.
* Only stop threads if worker is connected.
* Only stop threads if they exist.
* Remove unnecessary try/excepts.
* Fix
* Only add new logging handler once.
* Increase timeout.
* Fix tempfile test.
* Fix logging in cluster_utils.
* Revert "Increase timeout."
This reverts commit b3846b89040bcd8e583b2e18cb513cb040e71d95.
* Retry longer when connecting to plasma store from node manager and object manager.
* Close pubsub channels to avoid leaking file descriptors.
* Limit log monitor open files to 200.
* Increase plasma connect retries.
* Add comment.
* Factor out starting Ray processes.
* Detect flags through environment variables.
* Return ProcessInfo from start_ray_process.
* Print valgrind errors at exit.
* Test valgrind in travis.
* Some valgrind fixes.
* Undo raylet monitor change.
* Only test plasma store in valgrind.
* Refactor code about ray.ObjectID.
* remove from_random and use nil_id instead of constructor
* remove id() in hash
* Lint and fix
* Change driver id to ObjectID
* Replace binary_to_hex(ObjectID.id()) to ObjectID.hex()
* Push a warning to all users when large number of workers have been started.
* Add test.
* Fix bug.
* Give warning when worker starts instead of when worker registers.
* Fix
* Fix tests
* Limit Redis max memory to 10GB/shard by default.
* Update stress tests.
* Reorganize
* Update
* Add minimum cap size for object store and redis.
* Small test update.
SangBin Cho