.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
cache:
  apt: true
  # We use three different cache directory
  # to work around a Travis bug with multi-platform cache
  directories:
  - $HOME/sklearn_build_ubuntu
  - $HOME/sklearn_build_oldest
  - $HOME/sklearn_build_latest
  - $HOME/sklearn_build_numpy_dev
  - $HOME/.cache/pip
  - $HOME/download
addons:
  apt:
    packages:
      - libatlas3gf-base
      - libatlas-dev
      # only required by the DISTRIB="ubuntu" build:
      - python-scipy

env:
  global:
    # Directory where tests are run from
    - TEST_DIR=/tmp/sklearn
    - OMP_NUM_THREADS=4
    - OPENBLAS_NUM_THREADS=4
  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" CYTHON_VERSION="0.23.4"
      CACHED_BUILD_DIR="$HOME/sklearn_build_ubuntu" COVERAGE=true
    # This environment tests the oldest supported anaconda env
    - DISTRIB="conda" PYTHON_VERSION="2.6" INSTALL_MKL="false"
      NUMPY_VERSION="1.6.2" SCIPY_VERSION="0.11.0" CYTHON_VERSION="0.21"
      CACHED_BUILD_DIR="$HOME/sklearn_build_oldest"
    # This environment tests the newest supported anaconda env
    # It also runs tests requiring Pandas.
    - DISTRIB="conda" PYTHON_VERSION="3.5" INSTALL_MKL="true"
      NUMPY_VERSION="1.10.4" SCIPY_VERSION="0.17.0" PANDAS_VERSION="0.18.0"
      CYTHON_VERSION="0.23.4" CACHED_BUILD_DIR="$HOME/sklearn_build_latest"
    # flake8 linting on diff wrt common ancestor with upstream/master
    - RUN_FLAKE8="true" SKIP_TESTS="true"
      DISTRIB="conda" PYTHON_VERSION="3.5" INSTALL_MKL="true"
      NUMPY_VERSION="1.10.4" SCIPY_VERSION="0.17.0" CYTHON_VERSION="0.23.4"
      CACHED_BUILD_DIR="$HOME/dummy"


matrix:
  allow_failures:
    # allow_failures seems to be keyed on the python version
    # We are using this to allow failures for DISTRIB=scipy-dev-wheels
    - python: 3.5

  include:
    # This environment tests scikit-learn against numpy and scipy master
    # installed from their CI wheels in a virtualenv with the Python
    # interpreter provided by travis.
    # Note: libatlas3gf-base is not allowed yet so we need 'sudo':
    # https://github.com/travis-ci/apt-package-whitelist/issues/2407
    # Once libatlas3gf-base is on the whitelist it will be possible to replace
    # the before_install step with and addons/apt/packages declaration.
    -  python: 3.5
       env: DISTRIB="scipy-dev-wheels"
            CACHED_BUILD_DIR="$HOME/sklearn_build_numpy_dev"
       sudo: True
       before_install: sudo apt-get install -yqq libatlas3gf-base libatlas-dev


install: source build_tools/travis/install.sh
script: bash build_tools/travis/test_script.sh
after_success: source build_tools/travis/after_success.sh
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