# 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

- language-pack-de

env:

global:

# Set defaults to avoid repeating in most cases

- PYTHON_VERSION=3.5

- NUMPY_VERSION=stable

- MAIN_CMD='python setup.py'

- CONDA_DEPENDENCIES='Cython jinja2'

- CONDA_ALL_DEPENDENCIES='Cython jinja2 scipy h5py matplotlib pyyaml scikit-image pandas pytz beautifulsoup4 ipython mpmath'

- PIP_DEPENDENCIES=''

matrix:

- PYTHON_VERSION=2.7 SETUP_CMD='egg_info'

- PYTHON_VERSION=3.3 SETUP_CMD='egg_info'

- PYTHON_VERSION=3.4 SETUP_CMD='egg_info'

- PYTHON_VERSION=3.5 SETUP_CMD='egg_info'

matrix:

# Don't wait for allowed failures

fast_finish: true

include:

# Try MacOS X

- os: osx

env: SETUP_CMD='test'

CONDA_DEPENDENCIES=$CONDA_ALL_DEPENDENCIES

PIP_DEPENDENCIES='jplephem'

# Check for sphinx doc build warnings - we do this first because it

# runs for a long time. The sphinx build also has some additional

# dependencies.

- os: linux

env: SETUP_CMD='build_docs -w'

CONDA_DEPENDENCIES=$CONDA_ALL_DEPENDENCIES

PIP_DEPENDENCIES='sphinx-gallery>=0.1.3 pillow wcsaxes --no-deps jplephem'

# 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. Since we test the latest Numpy as part of the builds with all

# optional dependencies below, we can focus on older builds here.

- os: linux

env: PYTHON_VERSION=2.7 NUMPY_VERSION=1.7 SETUP_CMD='test --open-files'

- os: linux

env: PYTHON_VERSION=3.3 NUMPY_VERSION=1.8 SETUP_CMD='test --open-files'

- os: linux

env: PYTHON_VERSION=3.4 NUMPY_VERSION=1.9 SETUP_CMD='test --open-files'

- os: linux

env: PYTHON_VERSION=3.5 NUMPY_VERSION=1.10 SETUP_CMD='test --open-files'

# Now try with all optional dependencies the latest 3.x and on 2.7.

# (with latest numpy).

- os: linux

env: PYTHON_VERSION=2.7 SETUP_CMD='test'

CONDA_DEPENDENCIES=$CONDA_ALL_DEPENDENCIES

PIP_DEPENDENCIES='jplephem'

LC_CTYPE=C.ascii LC_ALL=C

- os: linux

env: SETUP_CMD='test --coverage'

CONDA_DEPENDENCIES=$CONDA_ALL_DEPENDENCIES

PIP_DEPENDENCIES='cpp-coveralls objgraph jplephem'

LC_CTYPE=C.ascii LC_ALL=C

CFLAGS='-ftest-coverage -fprofile-arcs -fno-inline-functions -O0'

# Try pre-release version of Numpy without optional dependencies

- os: linux

env: NUMPY_VERSION=prerelease SETUP_CMD='test'

# Do a PEP8 test with pycodestyle

- os: linux

env: MAIN_CMD='pycodestyle astropy --count' SETUP_CMD=''

# Try developer version of Numpy with optional dependencies and also

# run remote tests. Since both cases will be potentially unstable, we

# combine them into a single unstable build that we can mark as an

# allowed failure below.

- os: linux

env: NUMPY_VERSION=dev SETUP_CMD='test --remote-data'

CONDA_DEPENDENCIES=$CONDA_ALL_DEPENDENCIES

allow_failures:

- env: NUMPY_VERSION=dev SETUP_CMD='test --remote-data'

CONDA_DEPENDENCIES=$CONDA_ALL_DEPENDENCIES

install:

- git clone git://github.com/astropy/ci-helpers.git

- source ci-helpers/travis/setup_conda_$TRAVIS_OS_NAME.sh

script:

- $MAIN_CMD $SETUP_CMD

after_success:

- if [[ $SETUP_CMD == 'test --coverage' ]]; then

cpp-coveralls -E ".*convolution.*" -E ".*_erfa.*" -E ".*\.l" -E ".*\.y" -E ".*flexed.*" -E ".*cextern.*" -E ".*_np_utils.*" -E ".*cparser.*" -E ".*cython_impl.*" --dump c-coveralls.json;

coveralls --merge=c-coveralls.json --rcfile='astropy/tests/coveragerc';

fi