.travis.yml

language: python
dist: trusty
cache: pip
python:
  - "2.7"
  - '3.5'
  - '3.6'
os:
  - linux

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/Miniconda2-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:$PATH"
  - hash -r
  - conda config --set always_yes yes --set changeps1 no
  # - conda update -q conda
  # Useful for debugging any issues with conda
  - conda info -a
  - conda install gxx_linux-64
  - conda install libgcc
  - export LD_LIBRARY_PATH=${prefix}/lib:$LD_LIBRARY_PATH

install:
  # https://github.com/tensorflow/tensorflow/issues/6968 (reason for including libtcmalloc-minimal4)
  - conda create -q -n test-environment python=$TRAVIS_PYTHON_VERSION numpy cython scipy h5py flake8 coverage
  - source activate test-environment
  - conda install -c conda-forge matplotlib
  - pip install codecov # not on conda
  - pip install coveralls
  - if [[ "$TRAVIS_PYTHON_VERSION" > "3.0" ]]; then
      python setup.py install --ostype=linux-ubuntu --rl=True;
    else
      python setup.py install;
    fi
  - if [[ "$TRAVIS_PYTHON_VERSION" > "3.0" ]]; then
      python -m pip install --upgrade --force-reinstall tensorflow==1.4.0;
      python -W ignore -c "import tensorflow as tf";
    else
      sudo apt-get install libtcmalloc-minimal4;
      export LD_PRELOAD="/usr/lib/libtcmalloc_minimal.so.4";
      python -m pip install --upgrade --force-reinstall tensorflow==1.4.0;
      python -W ignore -c "import tensorflow as tf";
    fi
  - if [[ "$TRAVIS_PYTHON_VERSION" > "3.0" ]]; then
       python -m pip install --upgrade --force-reinstall keras==2.0.8;
    else
       python -m pip install --upgrade --force-reinstall keras==2.0.8;
    fi
  - python -W ignore -c "import keras as k"
  - python -c "import scipy"
  - python -c "import numpy"
  - python -c "import lime"

before_script: # configure a headless display to test plot generation
  - "export DISPLAY=:99.0"
  - "sh -e /etc/init.d/xvfb start"
  - sleep 3 # give xvfb some time to start
script:
  - coverage run skater/tests/all_tests.py
  - flake8 skater
after_success:
  - coveralls
branches:
  only:
    - master
    - compute_relevance_dev2
notifications:
  #slack:
  #secure:
  webhooks:
      urls:
        - https://webhooks.gitter.im/e/56c0942cb2d87bf25ce9
      on_success: change  # options: [always|never|change] default: always
      on_failure: always  # options: [always|never|change] default: always
      on_start: never     # options: [always|never|change] default: always