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Install python package dependencies through setup.py. (#39)
* Install python package dependencies through setup.py. * Do pip installs without sudo. * Clearer instructions for running tests. * Wording.
This commit is contained in:
Robert Nishihara
committed by
Philipp Moritz
Philipp Moritz
parent
28a80ca058
commit
43aba4fc6d
+22
-27
@@ -1,47 +1,42 @@
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# Installation on Mac OS X
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Ray must currently be built from source. We have tested Ray on OS X 10.11.
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## Clone the Ray repository
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```
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git clone https://github.com/ray-project/ray.git
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```
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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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## Dependencies
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First install the dependencies using brew. We currently do not support Python 3.
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If you have trouble installing the Python packages, you may find it easier to
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install [Anaconda](https://www.continuum.io/downloads).
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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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```
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brew update
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brew install git cmake automake autoconf libtool boost
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sudo easy_install pip
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sudo pip install numpy funcsigs colorama --ignore-installed six
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sudo pip install --upgrade git+git://github.com/cloudpipe/cloudpickle.git@0d225a4695f1f65ae1cbb2e0bbc145e10167cce4 # We use the latest version of cloudpickle because it can serialize named tuples.
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brew install cmake automake autoconf libtool boost
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sudo easy_install pip # If you're using Anaconda, then this is unnecessary.
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pip install numpy funcsigs colorama psutil redis --ignore-installed six
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pip install --upgrade git+git://github.com/cloudpipe/cloudpickle.git@0d225a4695f1f65ae1cbb2e0bbc145e10167cce4 # We use the latest version of cloudpickle because it can serialize named tuples.
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pip install --upgrade --verbose git+git://github.com/ray-project/numbuf.git@d1974afbab9f0f1bcf8af15a8c476d868ad31aff
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```
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## Build
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# Install Ray
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Then run the setup scripts.
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Ray can be installed with pip as follows.
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```
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cd ray
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./setup.sh # Build all necessary third party libraries (e.g., gRPC and Apache Arrow). This may take about 10 minutes.
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./build.sh # Build Ray.
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source setup-env.sh # Add Ray to your Python path.
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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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```
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For convenience, you may also want to add the line `source
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"$RAY_ROOT/setup-env.sh"` to the bottom of your `~/.bashrc` file manually, where
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`$RAY_ROOT` is the Ray directory (e.g., `/home/ubuntu/ray`).
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Alternatively, Ray can be built from the repository as follows.
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```
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git clone https://github.com/ray-project/ray.git
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cd lib/python
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python setup.py install
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```
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## Test if the installation succeeded
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To test if the installation was successful, try running some tests.
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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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```
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python test/runtest.py # This tests basic functionality.
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python test/array_test.py # This tests some array libraries.
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python test/runtest.py
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```
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+22
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@@ -1,44 +1,43 @@
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# Installation on Ubuntu
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Ray must currently be built from source. We have tested Ray on Ubuntu 14.04.
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## Clone the Ray repository
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```
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git clone https://github.com/ray-project/ray.git
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```
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Ray should work with Python 2 and Python 3. We have tested Ray on Ubuntu 14.04
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and Ubuntu 16.04
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## Dependencies
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First install the dependencies. We currently do not support Python 3.
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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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```
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sudo apt-get update
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sudo apt-get install -y git cmake build-essential autoconf curl libtool python-dev python-numpy python-pip libboost-all-dev unzip
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sudo pip install funcsigs colorama
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sudo pip install --upgrade git+git://github.com/cloudpipe/cloudpickle.git@0d225a4695f1f65ae1cbb2e0bbc145e10167cce4 # We use the latest version of cloudpickle because it can serialize named tuples.
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sudo apt-get install -y cmake build-essential autoconf curl libtool python-dev python-pip libboost-all-dev unzip # If you're using Anaconda, then python-dev and python-pip are unnecessary.
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pip install numpy funcsigs colorama psutil redis
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pip install --upgrade git+git://github.com/cloudpipe/cloudpickle.git@0d225a4695f1f65ae1cbb2e0bbc145e10167cce4 # We use the latest version of cloudpickle because it can serialize named tuples.
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pip install --upgrade --verbose git+git://github.com/ray-project/numbuf.git@d1974afbab9f0f1bcf8af15a8c476d868ad31aff
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```
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## Build
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# Install Ray
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Then run the setup scripts.
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Ray can be installed with pip as follows.
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```
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cd ray
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./setup.sh # Build all necessary third party libraries (e.g., gRPC and Apache Arrow). This may take about 10 minutes.
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./build.sh # Build Ray.
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source setup-env.sh # Add Ray to your Python path.
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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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```
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For convenience, you may also want to add the line `source
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"$RAY_ROOT/setup-env.sh"` to the bottom of your `~/.bashrc` file manually, where
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`$RAY_ROOT` is the Ray directory (e.g., `/home/ubuntu/ray`).
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Alternatively, Ray can be built from the repository as follows.
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```
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git clone https://github.com/ray-project/ray.git
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cd lib/python
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python setup.py install
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```
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## Test if the installation succeeded
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To test if the installation was successful, try running some tests.
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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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```
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python test/runtest.py # This tests basic functionality.
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python test/array_test.py # This tests some array libraries.
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python test/runtest.py
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```
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+8
-12
@@ -15,7 +15,12 @@ else
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exit 1
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fi
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if [[ $platform == "macosx" ]]; then
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if [[ $platform == "linux" ]]; then
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# These commands must be kept in sync with the installation instructions.
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sudo apt-get update
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sudo apt-get install -y cmake build-essential autoconf curl libtool python-dev python-numpy python-pip libboost-all-dev unzip
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sudo pip install funcsigs colorama psutil redis
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elif [[ $platform == "macosx" ]]; then
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# check that brew is installed
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which -s brew
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if [[ $? != 0 ]]; then
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@@ -25,20 +30,11 @@ if [[ $platform == "macosx" ]]; then
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echo "Updating brew."
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brew update
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fi
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fi
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if [[ $platform == "linux" ]]; then
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# These commands must be kept in sync with the installation instructions.
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sudo apt-get update
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sudo apt-get install -y git cmake build-essential autoconf curl libtool python-dev python-numpy python-pip libboost-all-dev unzip
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sudo pip install funcsigs colorama psutil redis
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sudo pip install --upgrade git+git://github.com/cloudpipe/cloudpickle.git@0d225a4695f1f65ae1cbb2e0bbc145e10167cce4 # We use the latest version of cloudpickle because it can serialize named tuples.
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elif [[ $platform == "macosx" ]]; then
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# These commands must be kept in sync with the installation instructions.
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brew install git cmake automake autoconf libtool boost
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brew install cmake automake autoconf libtool boost
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sudo easy_install pip
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sudo pip install numpy funcsigs colorama psutil redis --ignore-installed six
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sudo pip install --upgrade git+git://github.com/cloudpipe/cloudpickle.git@0d225a4695f1f65ae1cbb2e0bbc145e10167cce4 # We use the latest version of cloudpickle because it can serialize named tuples.
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fi
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sudo pip install --upgrade git+git://github.com/cloudpipe/cloudpickle.git@0d225a4695f1f65ae1cbb2e0bbc145e10167cce4 # We use the latest version of cloudpickle because it can serialize named tuples.
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sudo pip install --upgrade --verbose git+git://github.com/ray-project/numbuf.git@d1974afbab9f0f1bcf8af15a8c476d868ad31aff
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+11
-1
@@ -1,3 +1,5 @@
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from __future__ import print_function
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import subprocess
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from setuptools import setup, find_packages
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@@ -21,5 +23,13 @@ setup(name="ray",
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"photon": ["build/photon_scheduler",
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"libphoton.so"]},
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cmdclass={"install": install},
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install_requires=["numpy",
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"funcsigs",
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"colorama",
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"psutil",
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"redis",
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"cloudpickle",
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"numbuf==0.0.1"],
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include_package_data=True,
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zip_safe=False)
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zip_safe=False,
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license="Apache 2.0")
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