.travis.yml

language: python

# use the faster container-based architecture
sudo: false

# versions to test
# list of packages in miniconda:
# http://repo.continuum.io/pkgs/free/linux-64/index.html
matrix:
  include:
    - python: 3.3
      env:
        - PYTHONVERSION==3.3.0
        - NUMPYVERSION==1.8.0
        - SCIPYVERSION==0.13.0
        - MATPLOTLIBVERSION==1.3.0  # matplotlib 1.2.0 fails unit tests
                                    # because of small offsets in plotting
                                    # compared to more recent versions
    - python: 3.3
      env:
        - PYTHONVERSION==3.3
        - NUMPYVERSION=
        - SCIPYVERSION=
        - MATPLOTLIBVERSION=
    - python: 3.4
      env:
        - PYTHONVERSION==3.4
        - NUMPYVERSION=
        - SCIPYVERSION=
        - MATPLOTLIBVERSION=

# install Miniconda; use it to install dependencies
install:
  - wget http://repo.continuum.io/miniconda/Miniconda3-3.8.3-Linux-x86_64.sh -O miniconda.sh
  - bash miniconda.sh -b -p $(pwd)/miniconda
  - export PATH="$(pwd)/miniconda/bin:$PATH"
  - hash -r
  - conda config --set always_yes yes --set changeps1 no
  - conda info -a
  - DEPS="pip nose coverage"
  - conda create -q -n test-environment python$PYTHONVERSION $DEPS
  - conda install -n test-environment --yes numpy$NUMPYVERSION
  - conda install -n test-environment --yes scipy$SCIPYVERSION
  - conda install -n test-environment --yes matplotlib$MATPLOTLIBVERSION
  - conda install -n test-environment --yes h5py
  - source activate test-environment
  - pip install coveralls
  - pip install "sphinx>=1.2.3" sphinxcontrib-tikz sphinxcontrib-bayesnet sphinxcontrib-bibtex "numpydoc>=0.5"
  - pip install -e .

# Select a proper matplotlib backend
before_script:
  - "echo backend : Agg > matplotlibrc"

# Run unit tests for the code, docstrings and documentation
script:
  - python -m nose -c nose.cfg
  - cd doc && make doctest

# check coverage
after_success:
  - coveralls

# if tests fail, upload images to imgur
after_failure:
  - wget http://imgur.com/tools/imgurbash.sh
  - for img in result_images/test_plot/*.png; do echo -e "\n$img"; bash imgurbash.sh $img; done