.travis.yml

language: python

matrix:
    include:
        # Note: NumPy 1.16 is the last one that supports Python 2.7
        - python: 2.7
          env: NUMPY_VERSION='1.16.*'

        # Using Python 3.6 as main version due to availability of wheels (SciPy, NumPy, ...)
        - python: 3.6
          env: NUMPY_VERSION='1.13.3' PIP_2020_DEPENDENCY_RESOLVER_FLAG='--use-feature=2020-resolver'

        - python: 3.6
          env: NUMPY_VERSION='1.14.*'

        - python: 3.6
          env: NUMPY_VERSION='1.15.*'

        - python: 3.6
          env: NUMPY_VERSION='1.16.*'

        - python: 3.6
          env: NUMPY_VERSION='1.17.*'

        - python: 3.6
          env: NUMPY_VERSION='1.16.*' COVERALLS=true

        - python: 3.6
          env: NUMPY_VERSION='1.16.*' SKIP_TESTS=true BUILD_DOCS=true

sudo: false

addons:
    apt:
        packages:
            libfftw3-dev
            texlive-latex-base
            texlive-latex-recommended
            texlive-latex-extra
            dvipng


# Setup numpy + scipy using miniconda
# See http://conda.pydata.org/docs/travis.html
install:
    # Install miniconda according to Python version of the build (saves downloading if versions match)
    - if [[ "$TRAVIS_PYTHON_VERSION" == "2.7" ]]; then
        wget -q https://repo.continuum.io/miniconda/Miniconda2-latest-Linux-x86_64.sh -O miniconda.sh;
      else
        wget -q https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh;
      fi
    - bash miniconda.sh -b -p $HOME/miniconda
    - export PATH="$HOME/miniconda/bin:$PATH"
    - hash -r
    - conda config --set always_yes yes --set changeps1 no
    # Useful for debugging any issues with conda
    - conda info -a

    # Install dependencies and enter test environment. Use conda for the minimal stuff to
    # make it run faster and avoid downloading big stuff like mkl
    - conda create -n testenv python=$TRAVIS_PYTHON_VERSION nomkl
    - source activate testenv
    # Install packages with pip if possible, it's way faster
    - pip install $PIP_2020_DEPENDENCY_RESOLVER_FLAG "numpy==$NUMPY_VERSION" scipy future packaging scikit-image pywavelets;
    # Building pyfftw wheels sometimes fails, using a conda-forge version instead;
    # To avoid a lower version of NumPy being installed over the pip one, we exclude all dependencies
    # (PyFFTW only depends on NumPy)
    - conda install -c conda-forge --no-deps pyfftw

    # Doc dependencies
    - if [[ "$BUILD_DOCS" == "true" ]]; then
        pip install "sphinx>=1.7" sphinx_rtd_theme "travis-sphinx>=2.1.2";
      fi

    # Install our package
    - pip install -e .[testing]

script:
    # Run tests and produce a coverage report.
    # Also invoke the alternative way of running the unit tests.
    # Fail immediately after first failure to speed up the whole thing.
    - if [[ "$SKIP_TESTS" != "true" ]]; then
        pytest --doctest-modules $TRAVIS_BUILD_DIR/odl || exit -1;
        echo "import odl; odl.test(['--doctest-modules'])" > $TRAVIS_BUILD_DIR/_run_tests.py;
        coverage run $TRAVIS_BUILD_DIR/_run_tests.py;
      fi
    # Build the Sphinx doc (only for one specific build, master branch, no PR)
    # To avoid clogging the logs, we redirect stderr to /dev/null
    - if [[ "$BUILD_DOCS" == "true" ]]; then
        cd $TRAVIS_BUILD_DIR/doc/source && python generate_doc.py && cd -;
        travis-sphinx build -n -s $TRAVIS_BUILD_DIR/doc/source 2>/dev/null;
      fi

after_success:
    # Push coverage report to coveralls, but only the one with most dependencies installed
    - if [[ "$COVERALLS" == "true" ]]; then
        coveralls;
      fi
    # Deploy the Sphinx doc to gh-pages (only for one specific build, master branch, no PR)
    # See https://github.com/Syntaf/travis-sphinx
    - if [[ "$BUILD_DOCS" == "true" && "$TRAVIS_BRANCH" == "master" && "$TRAVIS_PULL_REQUEST" == "false" ]]; then
        travis-sphinx deploy;
      fi