.travis.yml

language: generic
dist: bionic
cache:
  pip: true
addons:
  apt:
    packages:
      - libxkbcommon-x11-0
      - libxcb*
      - libosmesa6
      - libglx-mesa0
      - libopengl0
      - libglx0
      - libdbus-1-3
env:
    # OPENBLAS_NUM_THREADS=1 avoid slowdowns:
    # https://github.com/xianyi/OpenBLAS/issues/731
    global: PYTHON_VERSION=3.7 DISPLAY=:99.0 MNE_LOGGING_LEVEL=warning
            CONDA_VERSION=">=4.3.27" OPENBLAS_NUM_THREADS=1 PYTHONUNBUFFERED=1

matrix:
    include:
        # Linux
        - os: linux
          env: CONDA_ENV="environment.yml"

        # PIP + non-default stim channel + log level info
        - os: linux
          env: MNE_STIM_CHANNEL=STI101 MNE_LOGGING_LEVEL=info
          language: python
          python: "3.8"

        # Old dependencies
        - os: linux
          env: PYTHON_VERSION=3.6
               CONDA_DEPENDENCIES="numpy=1.15.4 scipy=1.1 matplotlib=3.0.3 pandas=0.23.4 scikit-learn=0.20.2"

        # Minimal (runs with and without testing data)
        - os: linux
          env: DEPS=minimial
               CONDA_DEPENDENCIES="numpy scipy matplotlib"
               MNE_DONTWRITE_HOME=true MNE_FORCE_SERIAL=true MNE_SKIP_NETWORK_TEST=1

# Setup anaconda
before_install:
    - /sbin/start-stop-daemon --start --quiet --pidfile /tmp/custom_xvfb_99.pid --make-pidfile --background --exec /usr/bin/Xvfb -- :99 -screen 0 1400x900x24 -ac +extension GLX +render -noreset;
    - |
      if [ -z "$CONDA_ENV" ] && [ -z "$CONDA_DEPENDENCIES" ]; then
        pip uninstall -yq numpy
        pip install -i "https://pypi.anaconda.org/scipy-wheels-nightly/simple" --pre numpy
        pip install -f "https://7933911d6844c6c53a7d-47bd50c35cd79bd838daf386af554a83.ssl.cf2.rackcdn.com" scipy pandas scikit-learn matplotlib h5py Pillow
        pip install https://github.com/pyvista/pyvista/zipball/master
        pip install https://github.com/pyvista/pyvistaqt/zipball/master
        pip install --upgrade -r requirements.txt
      else
        git clone https://github.com/astropy/ci-helpers.git
        source ci-helpers/travis/setup_conda.sh
        if [ ! -z "$CONDA_ENV" ]; then
          conda env update --file $CONDA_ENV
          conda activate mne
          pip uninstall -yq mne
        fi
      fi
    # Always install these via pip so we get the latest possible versions (testing bugfixes)
    - pip install --upgrade -r requirements_testing.txt codecov
    - if [ "${DEPS}" != "minimal" ]; then
        pip install nitime;
      fi
    # Don't source mne_setup_sh here because changing PATH etc. can't be done in a script
    - if [ "${DEPS}" != "minimal" ]; then
        source tools/get_minimal_commands.sh;
        mne_surf2bem --version;
      fi;

install:
    # Suppress the parallel outputs for logging cleanliness
    - python setup.py build
    - python setup.py install
    - mne sys_info
    - python -c "import numpy; numpy.show_config()"
    - SRC_DIR=$(pwd)
    - cd ~
    # Trigger download of testing data
    - if [ "${DEPS}" != "minimal" ]; then
        python -c 'import mne; mne.datasets.testing.data_path(verbose=True)';
      fi;
    - cd ${SRC_DIR}


script:
    - echo "Print locale "
    - locale
    - echo "Other stuff"
    # OSX runs ~2x slower than Linux on Travis, so skip any slow ones there
    # Until https://github.com/numpy/numpy/issues/15580 is resolved we also
    # need the --pre wheels to skip slow ones.
    - CONDITION='not ultraslowtest';
    # Determine directories to test (could use SPLIT=0 SPLIT=1 but currently
    # we are fast enough, so disable it)
    - if [ -z ${SPLIT} ]; then
        USE_DIRS="mne/";
      else
        if [ "${SPLIT}" == "0" ]; then
          MNE_DIRS=". beamformer channels commands connectivity datasets decoding forward gui inverse_sparse io";
        elif [ "${SPLIT}" == "1" ]; then
          MNE_DIRS="minimum_norm preprocessing realtime simulation stats time_frequency viz";
        elif [ "${SPLIT}" == "2" ]; then
          MNE_DIRS=".";
        else
          MNE_DIRS="beamformer channels commands connectivity datasets decoding forward gui inverse_sparse io";
        fi;
        USE_DIRS="";
        for DIR in ${MNE_DIRS}; do
          if [ "${DIR}" == "." ]; then
            USE_DIRS="mne/tests mne/*.py ${USE_DIRS}";
          else
            USE_DIRS="mne/${DIR}/ ${USE_DIRS}";
          fi;
        done;
      fi;
    # Remove numpydoc tests on older Python (builtin docstrings not as good)
    - if [ "${PYTHON_VERSION}" == "3.6" ]; then
        pip uninstall -yq numpydoc;
      fi;
    # Test run_tests_if_main
    - if [ "${DEPS}" == "minimal" ]; then
        pip uninstall -yq mne;
        pip install -e .;
        python mne/tests/test_evoked.py;
      fi;
    - echo 'pytest -m "${CONDITION}" --tb=short --cov=mne -vv ${USE_DIRS}'
    - pytest -m "${CONDITION}" --tb=short --cov=mne -vv ${USE_DIRS}
    # run the minimal one with the testing data
    - if [ "${DEPS}" == "minimal" ]; then
        export MNE_SKIP_TESTING_DATASET_TESTS=false;
        python -c 'import mne; mne.datasets.testing.data_path(verbose=True)';
      fi;
    - if [ "${DEPS}" == "minimal" ]; then
        pytest -m "${CONDITION}" --tb=short --cov=mne -vv ${USE_DIRS};
      fi;

after_script:
    # Need to run from source dir to exectue "git" commands
    - cd ${SRC_DIR};
    - codecov;