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.travis.yml
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.travis.yml
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# 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=''
# 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'
# 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 skypy --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 skypy --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='skypy/tests/coveragerc'; fi