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install.sh
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#!/bin/bash
# This script is meant to be called by the "install" step defined in
# .travis.yml. See http://docs.travis-ci.com/ for more details.
# The behavior of the script is controlled by environment variabled defined
# in the .travis.yml in the top level folder of the project.
# License: 3-clause BSD
set -e
# Fix the compilers to workaround avoid having the Python 3.4 build
# lookup for g++44 unexpectedly.
export CC=gcc
export CXX=g++
sudo apt-get update -qq
if [[ "$INSTALL_ATLAS" == "true" ]]; then
sudo apt-get install -qq libatlas3gf-base libatlas-dev
fi
if [[ "$DISTRIB" == "conda" ]]; then
# Deactivate the travis-provided virtual environment and setup a
# conda-based environment instead
deactivate
# Use the miniconda installer for faster download / install of conda
# itself
wget http://repo.continuum.io/miniconda/Miniconda-3.6.0-Linux-x86_64.sh \
-O miniconda.sh
chmod +x miniconda.sh && ./miniconda.sh -b
export PATH=/home/travis/miniconda/bin:$PATH
conda update --yes conda
# Configure the conda environment and put it in the path using the
# provided versions
conda create -n testenv --yes python=$PYTHON_VERSION pip nose \
numpy=$NUMPY_VERSION scipy=$SCIPY_VERSION
source activate testenv
if [[ "$INSTALL_MKL" == "true" ]]; then
# Make sure that MKL is used
conda install --yes mkl
else
# Make sure that MKL is not used
conda remove --yes --features mkl || echo "MKL not installed"
fi
elif [[ "$DISTRIB" == "ubuntu" ]]; then
# Use standard ubuntu packages in their default version
sudo apt-get install -qq python-scipy python-nose python-pip
fi
if [[ "$COVERAGE" == "true" ]]; then
pip install coverage coveralls
fi
# Build scikit-learn in the install.sh script to collapse the verbose
# build output in the travis output when it succeeds.
python --version
python -c "import numpy; print('numpy %s' % numpy.__version__)"
python -c "import scipy; print('scipy %s' % scipy.__version__)"
python setup.py build_ext --inplace