.travis.yml

language: python
python:
  - "2.7"
  - "3.4"

# Setup anaconda just to get fast binary installation of common packages
before_install:
  - sudo apt-get update
  # We do this conditionally because it saves us some downloading if the
  # version is the same.
  - if [[ "$TRAVIS_PYTHON_VERSION" == "2.7" ]]; then
      wget https://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh -O miniconda.sh;
    else
      wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh;
    fi
  - bash miniconda.sh -b -p $HOME/miniconda
  - export PATH="$HOME/miniconda/bin:$PATH"
  - hash -r
  - conda config --set always_yes yes --set changeps1 no
  - conda update -q conda
  # Useful for debugging any issues with conda
  - conda info -a
  #- wget http://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh -O miniconda.sh
  #- chmod +x miniconda.sh
  #- ./miniconda.sh -b
  #- export PATH=/home/travis/miniconda/bin:$PATH
  #- conda update --yes conda
  # The next couple lines fix a crash with multiprocessing on Travis and are not specific to using Miniconda
  - sudo rm -rf /dev/shm
  - sudo ln -s /run/shm /dev/shm

# Install packages
install:
  - conda create -q -n test-environment python=$TRAVIS_PYTHON_VERSION atlas numpy scipy matplotlib
  - source activate test-environment
  #- conda install --yes python=$TRAVIS_PYTHON_VERSION atlas numpy scipy matplotlib
  - pip install git+https://github.com/python-quantities/python-quantities@master
  - pip install git+https://github.com/neuralensemble/python-neo.git
  - pip install elephant
  - pip install git+https://github.com/neuralensemble/libNeuroML@development
  - pip install git+https://github.com/purcell/airspeed.git
  - pip install git+https://github.com/rgerkin/pyNeuroML.git
  - pip install https://codeload.github.com/scidash/sciunit/legacy.tar.gz/dev
  - python setup.py install

# Setting up pre-requirements
before_script:
  - echo $PYTHONPATH
  - ls

# command to run tests, e.g. python setup.py test
script: python docs/chapter1.py