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* run test workloads for a Docker cluster * better manage docker image versions * Changes to make multinode docker tests work with Python 3. * option to mount local test directory on head node to speed development * Attempt to simplify multinode test setup. * Small change. * Add in development-mode to run multinode docker tests more easily during development. * add jenkins test script that links to Docker hash * Read docker SHA from build_docker.sh and add test that should fail. * Consolidate implementations and remove duplicate files. * Allow test to retry if it fails to schedule on all nodes. * Remove sleep when in docker multinode tests.
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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