Richard Shin 609b5c1a4c Add script to build manylinux1 .whl files (#600)
* Add manylinux setup

* Switch to cp27mu

* python/MANIFEST.in

* Fix MANIFEST.in

* Add build-wheel-manylinux1.sh

* Update readme

* Install correct version of numpy

* Fix typo in README-manylinux1.md

* Don't install cmake

* Remove commented line from setup.py

* Delete unused manylinux1.sh

* Run setup.py bdist_wheel twice

* Don't use package_data and MANIFEST.in.

* Small aesthetic change.

* Trigger build_ext in setup.py.

* Remove nonexistent file from MANIFEST.in.

* Manually copy files in MANIFEST.in to where Python expects them in order to prevent setup.py from having to be run twice.

* Only run setup.py once when building wheels.

* Aesthetic change to readme.

* Copy generated flatbuffer Python files in build_ext.

* Fix permission denied error by making sure to preserve executableness when copying files.

* Remove unnecessary argument to setup.py.

* Remove MANIFEST.in and move files to include into list in setup.py.

* Fix numpy version when building wheels and replace rm with git clean.
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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

|

Ray is a flexible, high-performance distributed execution framework.

View the `documentation`_.

.. _`documentation`: http://ray.readthedocs.io/en/latest/index.html
S
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.
Readme Multiple Licenses 111 MiB
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