2016-07-28 20:47:37 -07:00
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# Installation on Mac OS X
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2016-07-08 20:03:21 -07:00
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2016-12-30 00:29:03 -08:00
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Ray should work with Python 2 and Python 3. We have tested Ray on OS X 10.11.
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2016-07-08 20:03:21 -07:00
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2016-07-28 20:47:37 -07:00
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## Dependencies
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2016-07-08 20:03:21 -07:00
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2016-11-12 19:37:20 -08:00
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To install Ray, first install the following dependencies. We recommend using
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[Anaconda](https://www.continuum.io/downloads).
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2016-07-08 20:03:21 -07:00
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```
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brew update
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2016-12-31 16:06:00 -08:00
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brew install cmake automake autoconf libtool boost wget
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2016-11-12 19:37:20 -08:00
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sudo easy_install pip # If you're using Anaconda, then this is unnecessary.
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2017-01-08 17:30:06 -08:00
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pip install numpy cloudpickle funcsigs colorama psutil redis --ignore-installed six
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2016-11-21 14:30:17 -08:00
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pip install --upgrade --verbose "git+git://github.com/ray-project/ray.git#egg=numbuf&subdirectory=numbuf"
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2016-07-08 20:03:21 -07:00
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```
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2016-11-12 19:37:20 -08:00
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# Install Ray
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2016-07-08 20:03:21 -07:00
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2016-12-30 00:29:03 -08:00
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Ray can be built from the repository as follows.
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2016-07-08 20:03:21 -07:00
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```
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2016-12-30 00:29:03 -08:00
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git clone https://github.com/ray-project/ray.git
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2016-12-31 17:53:53 -08:00
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cd ray/lib/python
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python setup.py install --user
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2016-07-08 20:03:21 -07:00
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```
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2016-12-30 00:29:03 -08:00
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Alternatively, Ray can be installed with pip as follows. However, this is
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slightly less likely to succeed.
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2016-07-08 20:03:21 -07:00
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2016-11-12 19:37:20 -08:00
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```
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2016-12-30 00:29:03 -08:00
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pip install --upgrade --verbose "git+git://github.com/ray-project/ray.git#egg=ray&subdirectory=lib/python"
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2016-11-12 19:37:20 -08:00
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```
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2016-07-08 20:03:21 -07:00
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2016-11-12 19:37:20 -08:00
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## Test if the installation succeeded
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To test if the installation was successful, try running some tests. This assumes
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that you've cloned the git repository.
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2016-07-08 20:03:21 -07:00
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```
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2016-11-12 19:37:20 -08:00
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python test/runtest.py
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2016-07-08 20:03:21 -07:00
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```
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