.travis.yml

sudo: required # https://docs.travis-ci.com/user/trusty-ci-environment/
dist: trusty   # both needed to install tensorflow correctly
language: python
# tested python language / keras backends matrix
matrix:
    include:
        - python: 2.7
          env: KERAS_BACKEND=theano
        - python: 2.7
          env: KERAS_BACKEND=tensorflow

# Get gcc 4.8 for compiling C++ (thanks to https://github.com/travis-ci/travis-ci/issues/5627)
addons:
  apt:
    sources:
      - ubuntu-toolchain-r-test
    packages:
      - gcc-4.8

# Install packages
install:
  - wget https://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh -O miniconda.sh;

  - bash miniconda.sh -b -p $HOME/miniconda
  - export PATH="$HOME/miniconda/bin:$PATH"
  - hash -r
  # http://conda.pydata.org/docs/commands.html
  - conda config --set always_yes yes --set changeps1 no
  - conda update -q conda
  # Useful for debugging any issues with conda
  - conda info -a

  # create and activiate environment with python=$TRAVIS_PYTHON_VERSION
  - conda create -q -n RocAlphaGo-test python=$TRAVIS_PYTHON_VERSION
  - source activate RocAlphaGo-test

  # 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 requirements
  - conda install --yes Cython=0.27.3 h5py=2.7.0 numpy=1.13.3 scipy=1.1.0 PyYAML=3.12 matplotlib pandas pytest future
  - pip install --user --no-deps sgf==0.5 keras==2.0.4 pygtp==0.3
  - pip install --user flake8

  # compile cython code
  - CC=gcc-4.8 CXX=g++-4.8 python setup.py build_ext --inplace

  # install TensorFlow if needed
  # tensorflow does not have a python3.3 wheel
  - if [[ "$KERAS_BACKEND" == "tensorflow" ]]; then
      if [[ "$TRAVIS_PYTHON_VERSION" == "2.7" ]]; then
        pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.2.1-cp27-none-linux_x86_64.whl;
      elif [[ "$TRAVIS_PYTHON_VERSION" == "3.4" ]]; then
        pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.2.1-cp34-cp34m-linux_x86_64.whl;
      elif [[ "$TRAVIS_PYTHON_VERSION" == "3.5" ]]; then
        pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.2.1-cp35-cp35m-linux_x86_64.whl;
      elif [[ "$TRAVIS_PYTHON_VERSION" == "3.6" ]]; then
        pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.2.1-cp36-cp36m-linux_x86_64.whl;
      fi
    fi

  # Install Theano with dependencies
  - if [[ "$KERAS_BACKEND" == "theano" ]]; then
      conda install mkl-service && export MKL_THREADING_LAYER=GNU;
      pip install --user Theano==1.0.2;
    fi
# run flake8 and unit tests
script:
    - flake8
    - flake8 --config=.flake8.cython

    # run unit test
    - python -m unittest discover