.travis.yml

language: python

matrix:
  include:
    - python: "3.5"
    - python: "3.6"

notifications:
  email: false

# Setup anaconda
before_install:
  - wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh
  - chmod +x miniconda.sh
  - ./miniconda.sh -b
  - export PATH=/home/travis/miniconda3/bin:$PATH
  - conda update --yes conda
install:
  - conda install --yes nomkl
  - conda install --yes python=$TRAVIS_PYTHON_VERSION scipy matplotlib markdown pygments coverage ipython nose nbformat jupyter_client nbconvert notebook
  - conda install --yes -c conda-forge pandoc
  - python -c "import matplotlib"
  - pip install python-coveralls #nose-cov
  - python setup.py install


# Recipe from http://dan-blanchard.roughdraft.io/7045057-quicker-travis-builds-that-rely-on-numpy-and-scipy-using-miniconda
# Run test
script:
  - nosetests --with-coverage --cover-package=pweave
#  - nosetests --with-cov --cov Pweave --cov-config .coveragerc --logging-level=INFO

# Calculate coverage
after_success:
   - coveralls
#  - coveralls --config_file .coveragerc