.travis.yml

# Mimicing Kirkby's speclit travis file
#
# We set the language to c because python isn't supported on the MacOS X nodes
# on Travis. However, the language ends up being irrelevant anyway, since we
# install Python ourselves using conda.
language: c

os:
    - linux

# Setting sudo to false opts in to Travis-CI container-based builds.
sudo: false

# The apt packages below are needed for sphinx builds, which can no longer
# be installed with sudo apt-get.
addons:
    apt:
        packages:
            - graphviz
            - texlive-latex-extra
            - dvipng
            - libgsl0-dev

env:
    global:

        # The following versions are the 'default' for tests, unless
        # overridden underneath. They are defined here in order to save having
        # to repeat them for all configurations.
        - FOLDERNAME='pypeit'
        - PYTHON_VERSION=3.6
        - ASTROPY_VERSION=stable
        - NUMPY_VERSION=stable
        - SKLEARN_VERSION=stable
        - MAIN_CMD='python setup.py'
        - SETUP_CMD='test'
        - CONDA_DEPENDENCIES='scipy h5py pyyaml matplotlib future numba scikit-learn configobj IPython'
        - PIP_DEPENDENCIES=''
        - EVENT_TYPE='pull_request push'
        - TASK='test'

        # Conda packages for affiliated packages are hosted in channel
        # "astropy" while builds for astropy LTS with recent numpy versions
        # are in astropy-ci-extras. If your package uses either of these,
        # add the channels to CONDA_CHANNELS along with any other channels
        # you want to use.
        - CONDA_CHANNELS='astropy-ci-extras'

        # If there are matplotlib or other GUI tests, uncomment the following
        # line to use the X virtual framebuffer.
        - SETUP_XVFB=True

    matrix:
      # Extra context is a way to override options that the user normally
      # specifies during the questions phase of the cookiecutter setup. The keys
      # being overridden here must exist in the cookiecutter.json
      # See https://cookiecutter.readthedocs.io/en/0.9.1/advanced_usage.html#injecting-extra-context
      #- EXTRA_CONTEXT=''
      #- EXTRA_CONTEXT='include_example_cython_code=y'
      #- EXTRA_CONTEXT="package_name=AstropyProject" FOLDERNAME='AstropyProject'
      #- EXTRA_CONTEXT='_parent_project=sunpy'
      #- TASK='render' EXTRA_CONTEXT='include_example_cython_code=y initialize_git_repo=n'
      #- PYTHON_VERSION=2.7 SETUP_CMD='egg_info'
      - PYTHON_VERSION=3.6 SETUP_CMD='egg_info'

matrix:

    # Don't wait for allowed failures
    fast_finish: true

    include:
        # Try MacOS X
        #- os: osx
        #  env: SETUP_CMD='test'

        # Do a coverage test.
        #- os: linux
        #  env: SETUP_CMD='test --coverage'

        # Check for sphinx doc build warnings - we do this first because it
        # may run for a long time
        #- os: linux
        #  env: SETUP_CMD='build_docs -w'

        # Now try Astropy dev and LTS vesions with the latest 3.x and 2.7.
        #- os: linux
        #  env: PYTHON_VERSION=2.7 ASTROPY_VERSION=development
        #       EVENT_TYPE='pull_request push cron'
        - os: linux
          env: ASTROPY_VERSION=development
               EVENT_TYPE='pull_request push cron'
        #- os: linux
        #  env: PYTHON_VERSION=2.7 ASTROPY_VERSION=lts
        #- os: linux
        #  env: ASTROPY_VERSION=lts

        # Try all python versions and Numpy versions. Since we can assume that
        # the Numpy developers have taken care of testing Numpy with different
        # versions of Python, we can vary Python and Numpy versions at the same
        # time.

        #- os: linux
        #  env: PYTHON_VERSION=2.7 NUMPY_VERSION=1.13
        #- os: linux
        #  env: PYTHON_VERSION=3.3 NUMPY_VERSION=1.8
        #- os: linux
        #  env: PYTHON_VERSION=3.4 NUMPY_VERSION=1.9
        #- os: linux
        #  env: PYTHON_VERSION=3.5 NUMPY_VERSION=1.10
        #- os: linux
        #  env: NUMPY_VERSION=1.14

        - os: linux
          env: NUMPY_VERSION=1.15
        # Try numpy pre-release
        - os: linux
          env: NUMPY_VERSION=prerelease
               EVENT_TYPE='pull_request push cron'

        # Do a PEP8 test with pycodestyle
        - os: linux
          env: MAIN_CMD='pycodestyle packagename --count' SETUP_CMD=''

    allow_failures:
        # Do a PEP8 test with pycodestyle
        # (allow to fail unless your code completely compliant)
        - os: linux
          env: MAIN_CMD='pycodestyle packagename --count' SETUP_CMD=''

before_install:

    # Use utf8 encoding. Should be default, but this is insurance against
    # future changes
    - export PYTHONIOENCODING=UTF8
    - wget http://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh -O miniconda.sh
    - chmod +x miniconda.sh
    - ./miniconda.sh -b -p $HOME/miniconda
    - export PATH=$HOME/miniconda/bin:$PATH
    - export GSL_PATH=$HOME/miniconda
    - hash -r
    - conda config --set always_yes yes --set changeps1 no
    - conda update --yes conda
    #- conda install -c https://conda.anaconda.org/asmeurer gsl

    # UPDATE APT-GET LISTINGS
    - sudo apt-get update

    # DOCUMENTATION DEPENDENCIES
    - if [[ $SETUP_CMD == build_sphinx* ]]; then sudo apt-get install graphviz texlive-latex-extra dvipng; fi

install:

    - git clone git://github.com/astropy/ci-helpers.git
    - source ci-helpers/travis/setup_conda_$TRAVIS_OS_NAME.sh
    - if [[ $SETUP_CMD != egg_info ]]; then $PIP_INSTALL git+https://github.com/linetools/linetools.git; fi
    - if [[ $SETUP_CMD != egg_info ]]; then $PIP_INSTALL git+https://github.com/profxj/ginga.git; fi
    #- conda install numpy
    #- conda install configobj
    #- conda install scikit-learn

script:
    - $MAIN_CMD $SETUP_CMD


after_success:
    - if [[ $SETUP_CMD == 'test --coverage' ]]; then coveralls --rcfile='pypit/tests/coveragerc'; fi