.travis.yml

env:
    global:
        - REPO_DIR=opencv
        # Commit from opencv that you want to build
        - BUILD_COMMIT=master
        # pip dependencies to _build_ your project
        - BUILD_DEPENDS="Cython numpy"
        # pip dependencies to _test_ your project.  Include any dependencies
        # that you need, that are also specified in BUILD_DEPENDS, this will be
        # a separate install.
        - TEST_DEPENDS="numpy scipy pytest"
        - PLAT=x86_64
        - UNICODE_WIDTH=32
        - WHEELHOUSE_UPLOADER_USERNAME=travis-worker
        # Following generated with
        # travis encrypt -r your-org/your-project-wheels WHEELHOUSE_UPLOADER_SECRET=<the api key>
        # This is for Rackspace uploads.  Contact Matthew Brett, or the
        # scikit-learn team, for # permission (and the API key) to upload to
        # the Rackspace account used here, or use your own account.
        #- secure:
        #    "MNKyBWOzu7JAUmC0Y+JhPKfytXxY/ADRmUIMEWZV977FLZPgYctqd+lqel2QIFgdHDO1CIdTSymOOFZckM9ICUXg9Ta+8oBjSvAVWO1ahDcToRM2DLq66fKg+NKimd2OfK7x597h/QmUSl4k8XyvyyXgl5jOiLg/EJxNE2r83IA="

language: python
# The travis Python version is unrelated to the version we build and test
# with.  This is set with the MB_PYTHON_VERSION variable.
python: 3.5
sudo: required
dist: trusty
services: docker

matrix:
  include:
    - os: osx
      language: generic
      env:
        - MB_PYTHON_VERSION=2.7
    - os: osx
      language: generic
      env:
        - MB_PYTHON_VERSION=3.4
    - os: linux
      env:
        - MB_PYTHON_VERSION=2.7
        - DOCKER_IMAGE=quay.io/pypa/manylinux1_x86_64
    - os: linux
      env:
        - MB_PYTHON_VERSION=2.7
        - DOCKER_IMAGE=quay.io/pypa/manylinux1_x86_64
        - UNICODE_WIDTH=16
    - os: linux
      env:
        - MB_PYTHON_VERSION=2.7
        - DOCKER_IMAGE=quay.io/pypa/manylinux1_i686
        - PLAT=i686
    - os: linux
      env:
        - MB_PYTHON_VERSION=2.7
        - DOCKER_IMAGE=quay.io/pypa/manylinux1_i686
        - PLAT=i686
        - UNICODE_WIDTH=16
    - os: linux
      env:
        - MB_PYTHON_VERSION=3.3
        - DOCKER_IMAGE=quay.io/pypa/manylinux1_x86_64
    - os: linux
      env:
        - MB_PYTHON_VERSION=3.3
        - DOCKER_IMAGE=quay.io/pypa/manylinux1_i686
        - PLAT=i686
    - os: linux
      env:
        - MB_PYTHON_VERSION=3.4
        - DOCKER_IMAGE=quay.io/pypa/manylinux1_x86_64
    - os: linux
      env:
        - MB_PYTHON_VERSION=3.4
        - DOCKER_IMAGE=quay.io/pypa/manylinux1_i686
        - PLAT=i686
    - os: linux
      env:
        - MB_PYTHON_VERSION=3.5
        - DOCKER_IMAGE=quay.io/pypa/manylinux1_x86_64
    - os: linux
      env:
        - MB_PYTHON_VERSION=3.5
        - DOCKER_IMAGE=quay.io/pypa/manylinux1_i686
        - PLAT=i686

before_install:
    - source multibuild/common_utils.sh
    - source multibuild/travis_steps.sh
    - before_install

install:
    # Maybe get and clean and patch source
    - clean_code $REPO_DIR $BUILD_COMMIT
    - travis_wait 120 build_wheel $REPO_DIR $PLAT

script:
    - install_run $PLAT

after_success:
    # Upload wheels to Rackspace container
    - pip install wheelhouse-uploader
    # This uploads the wheels to a Rackspace container owned by the
    # scikit-learn team, available at http://wheels.scipy.org.  See above
    # for information on using this account or choosing another.
    - python -m wheelhouse_uploader upload --local-folder
        ${TRAVIS_BUILD_DIR}/wheelhouse/
        --no-update-index
        wheels