ray/ci/travis/install-dependencies.sh

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#!/usr/bin/env bash
ROOT_DIR=$(cd "$(dirname "${BASH_SOURCE:-$0}")"; pwd)
echo "PYTHON is $PYTHON"
platform="unknown"
unamestr="$(uname)"
if [[ "$unamestr" == "Linux" ]]; then
echo "Platform is linux."
platform="linux"
elif [[ "$unamestr" == "Darwin" ]]; then
echo "Platform is macosx."
platform="macosx"
else
echo "Unrecognized platform."
exit 1
fi
if [[ "$PYTHON" == "3.5" ]] && [[ "$platform" == "linux" ]]; then
sudo apt-get update
sudo apt-get install -y python-dev python-numpy build-essential curl unzip tmux gdb
# Install miniconda.
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wget -q https://repo.continuum.io/miniconda/Miniconda3-4.5.4-Linux-x86_64.sh -O miniconda.sh -nv
bash miniconda.sh -b -p $HOME/miniconda
export PATH="$HOME/miniconda/bin:$PATH"
pip install -q scipy tensorflow cython==0.29.0 gym opencv-python-headless pyyaml pandas==0.24.2 requests \
feather-format lxml openpyxl xlrd py-spy setproctitle pytest-timeout networkx tabulate psutil aiohttp \
uvicorn dataclasses pygments werkzeug kubernetes flask grpcio pytest-sugar pytest-rerunfailures pytest-asyncio \
blist torch torchvision scikit-learn
elif [[ "$PYTHON" == "3.5" ]] && [[ "$platform" == "macosx" ]]; then
# Install miniconda.
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wget -q https://repo.continuum.io/miniconda/Miniconda3-4.5.4-MacOSX-x86_64.sh -O miniconda.sh -nv
bash miniconda.sh -b -p $HOME/miniconda
export PATH="$HOME/miniconda/bin:$PATH"
pip install -q cython==0.29.0 tensorflow gym opencv-python-headless pyyaml pandas==0.24.2 requests \
feather-format lxml openpyxl xlrd py-spy setproctitle pytest-timeout networkx tabulate psutil aiohttp \
uvicorn dataclasses pygments werkzeug kubernetes flask grpcio pytest-sugar pytest-rerunfailures pytest-asyncio \
blist torch torchvision scikit-learn
elif [[ "$LINT" == "1" ]]; then
sudo apt-get update
sudo apt-get install -y build-essential curl unzip
# Install miniconda.
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wget -q https://repo.continuum.io/miniconda/Miniconda3-4.5.4-Linux-x86_64.sh -O miniconda.sh -nv
bash miniconda.sh -b -p $HOME/miniconda
export PATH="$HOME/miniconda/bin:$PATH"
# Install Python linting tools.
pip install -q flake8==3.7.7 flake8-comprehensions flake8-quotes==2.0.0
elif [[ "$LINUX_WHEELS" == "1" ]]; then
sudo apt-get install docker
sudo usermod -a -G docker travis
elif [[ "$MAC_WHEELS" == "1" ]]; then
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:
else
echo "Unrecognized environment."
exit 1
fi
if [[ "$PYTHON" == "3.5" ]] || [[ "$MAC_WHEELS" == "1" ]]; then
# Install the latest version of Node.js in order to build the dashboard.
source $HOME/.nvm/nvm.sh
nvm install node
fi