.travis.yml

# 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

# The apt packages below are needed for sphinx builds. A full list of packages
# that can be included can be found here:
#
# https://github.com/travis-ci/apt-package-whitelist/blob/master/ubuntu-precise

addons:
  apt:
    packages:
      - graphviz


stage: Comprehensive tests

stages:
  # Do the style check and a single test job, don't proceed if it fails
  - name: Initial tests
  # Test docs, astropy dev, and without optional dependencies
  - name: Comprehensive tests
  # Slow tests that should only run if comprehensive ones passed
  - name: Slow tests
  # These will only run when cron is opted in
  - name: Cron tests
    if: type = cron


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.
    - PYTHON_VERSION=3.7
    - NUMPY_VERSION=stable
    - ASTROPY_VERSION=stable
    - MAIN_CMD='python setup.py'
    - SETUP_CMD='test'
    - EVENT_TYPE='pull_request push'


    # List runtime dependencies for the package that are available as conda
    # packages here.
    - CONDA_DEPENDENCIES=''
    - CONDA_DEPENDENCIES_DOC='sphinx-astropy'

    # List other runtime dependencies for the package that are available as
    # pip packages here.
    - PIP_DEPENDENCIES='astropy specutils>=0.4 matplotlib sphinx_rtd_theme emcee pathos'

    # 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 astropy'

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

    # If you want to ignore certain flake8 errors, you can list them
    # in FLAKE8_OPT, for example:
    # - FLAKE8_OPT='--ignore=E501'
    - FLAKE8_OPT=''

matrix:

  # Don't wait for allowed failures
  fast_finish: true

  include:
    # Make sure that egg_info works without dependencies
    - stage: Initial tests
      env: PYTHON_VERSION=3.7 SETUP_CMD='egg_info'

    # Try MacOS X, usually enough only to run from cron as hardly there are
    # issues that are not picked up by a linux worker
    - os: osx
      stage: Cron tests
      env: SETUP_CMD='test' EVENT_TYPE='cron'

    # Do a coverage test.
    - os: linux
      stage: Initial tests
      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'
        CONDA_DEPENDENCIES=$CONDA_DEPENDENCIES_DOC

    # Now try Astropy dev with the latest Python and LTS with and 3.x.
#    - os: linux
#      env: ASTROPY_VERSION=development
#        EVENT_TYPE='pull_request push cron'
#    - os: linux
#      env: PYTHON_VERSION=3.6 ASTROPY_VERSION=lts NUMPY_VERSION=1.13

    # Add a job that runs from cron only and tests against astropy dev and
    # numpy dev to give a change for early discovery of issues and feedback
    # for both developer teams.
    - os: linux
      stage: Cron tests
      env: ASTROPY_VERSION=development NUMPY_VERSION=development
        EVENT_TYPE='cron'

    # Try on Windows.
    - os: windows
      stage: Slow tests
      env: SETUP_CMD='test'

    # 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=3.6 NUMPY_VERSION=1.14
    - os: linux
      env: NUMPY_VERSION=1.15

    # Do a PEP8 test with flake8
    - os: linux
      stage: Initial tests
      env: MAIN_CMD='flake8 spectacle --count --show-source --statistics $FLAKE8_OPT' SETUP_CMD=''

  allow_failures:
  # Do a PEP8 test with flake8
  # (do allow to fail unless your code completely compliant)
   - os: linux
     stage: Initial tests
     env: MAIN_CMD='flake8 spectacle --count --show-source --statistics $FLAKE8_OPT' SETUP_CMD=''

install:

  # We now use the ci-helpers package to set up our testing environment.
  # This is done by using Miniconda and then using conda and pip to install
  # dependencies. Which dependencies are installed using conda and pip is
  # determined by the CONDA_DEPENDENCIES and PIP_DEPENDENCIES variables,
  # which should be space-delimited lists of package names. See the README
  # in https://github.com/astropy/ci-helpers for information about the full
  # list of environment variables that can be used to customize your
  # environment. In some cases, ci-helpers may not offer enough flexibility
  # in how to install a package, in which case you can have additional
  # commands in the install: section below.

  - git clone --depth 1 git://github.com/astropy/ci-helpers.git
  - source ci-helpers/travis/setup_conda.sh

  # As described above, using ci-helpers, you should be able to set up an
  # environment with dependencies installed using conda and pip, but in some
  # cases this may not provide enough flexibility in how to install a
  # specific dependency (and it will not be able to install non-Python
  # dependencies). Therefore, you can also include commands below (as
  # well as at the start of the install section or in the before_install
  # section if they are needed before setting up conda) to install any
  # other dependencies.

script:
  - $MAIN_CMD $SETUP_CMD

after_success:
# If coveralls.io is set up for this package, uncomment the line below.
# The coveragerc file may be customized as needed for your package.
# - if [[ $SETUP_CMD == *coverage* ]]; then coveralls --rcfile='spectacle/tests/coveragerc'; fi