.travis.yml

# make it explicit that we favor the new container-based travis workers
sudo: false

language: python

# Pre-install packages for the ubuntu distribution
addons:
  apt:
    packages:
      - libatlas3gf-base
      - libatlas-dev
      - python-scipy

env:
  matrix:
    # This environment tests that scikit-learn can be built against
    # versions of numpy, scipy with ATLAS that comes with Ubuntu Precise 12.04
    - DISTRIB="ubuntu" PYTHON_VERSION="2.7" COVERAGE="true"
    # This environment tests the oldest supported anaconda env
    - DISTRIB="conda" PYTHON_VERSION="2.6" INSTALL_MKL="false"
      NUMPY_VERSION="1.6.2" SCIPY_VERSION="0.11.0"
    # This environment tests the newest supported anaconda env
    - DISTRIB="conda" PYTHON_VERSION="3.5" INSTALL_MKL="true"
      NUMPY_VERSION="1.10.1" SCIPY_VERSION="0.16.0"
install: source continuous_integration/install.sh
script: bash continuous_integration/test_script.sh
after_success:
    # Ignore coveralls failures as the coveralls server is not very reliable
    # but we don't want travis to report a failure in the github UI just
    # because the coverage report failed to be published.
    - if [[ "$COVERAGE" == "true" ]]; then coveralls || echo "failed"; fi
notifications:
  webhooks:
    urls:
      - https://webhooks.gitter.im/e/4ffabb4df010b70cd624
    on_success: change  # options: [always|never|change] default: always
    on_failure: always  # options: [always|never|change] default: always
    on_start: never     # options: [always|never|change] default: always
cache:
  apt: true
  directories:
    - $HOME/.cache/pip
    - $HOME/download