.travis.yml

# adapted from https://github.com/fchollet/keras/blob/master/.travis.yml
sudo: required
dist: trusty
language: python
python:
  - 2.7
  - 3.5

env:
  - TENSORFLOW_V=1.8.0

install:
  # code below is taken from http://conda.pydata.org/docs/travis.html
  # 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

  - conda create -q -n test-environment python=$TRAVIS_PYTHON_VERSION numpy six
  - source activate test-environment

  # install TensorFlow
  - >
    if [[ "$TRAVIS_PYTHON_VERSION" == "2.7" && "$TENSORFLOW_V" == "1.8.0" ]]; then
      pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.8.0-cp27-none-linux_x86_64.whl;
    elif [[ "$TRAVIS_PYTHON_VERSION" == "3.5" && "$TENSORFLOW_V" == "1.8.0" ]]; then
      pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.8.0-cp35-cp35m-linux_x86_64.whl;
    fi

# command to run tests
script:
  # exit on first error
  - set -e
  - time pip install -q -e "bird-or-bicycle"
  - time pip install -q -e "unrestricted-advex[test]"

  # Accuracy tests are slow so we run them after finishing all the other tests
  - pytest -s -k "not two_class_mnist_accuracy"
  - pytest -s -k "two_class_mnist_accuracy"