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4d5ac9dad5e1a69d103af2c10ad99058b86a22f1
* 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.
Include object size and hash in the table returned by the object_table function in the GlobalStateAPI. (#665)
Include object size and hash in the table returned by the object_table function in the GlobalStateAPI. (#665)
Implement object table notification subscriptions and switch to using Redis modules for object table. (#134)
Ray
===
.. image:: https://travis-ci.org/ray-project/ray.svg?branch=master
:target: https://travis-ci.org/ray-project/ray
.. image:: https://readthedocs.org/projects/ray/badge/?version=latest
:target: http://ray.readthedocs.io/en/latest/?badge=latest
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Ray is a flexible, high-performance distributed execution framework.
View the `documentation`_.
.. _`documentation`: http://ray.readthedocs.io/en/latest/index.html
Description
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
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