.travis.yml

dist: xenial
language: python

notifications:
  email: false

python:
- "3.5"
- "3.6"
- "3.7"

before_install:
- sudo add-apt-repository -y ppa:jonathonf/backports
- sudo apt-get -qq update
- sudo apt-get install -y libgdal-dev
- sudo apt-get install graphviz
- sudo apt-get install proj-bin
- sudo apt-get install gcc
- sudo apt-get install libproj-dev

install:
- pip install -r requirements-dev.txt --upgrade
- if [ $TRAVIS_PYTHON_VERSION == '3.6' ]; then
    python install_all.py -e;
  else
    python install_all.py;
  fi
- pip install pandas==0.23.4  # This is temporal solution

script:
- if [ $TRAVIS_PYTHON_VERSION == '3.6' ]; then
    pylint core/eolearn/core/*.py &&
    pylint coregistration/eolearn/coregistration/*.py &&
    pylint features/eolearn/features/*.py &&
    pylint geometry/eolearn/geometry/*.py &&
    pylint io/eolearn/io/*.py &&
    pylint mask/eolearn/mask/*.py &&
    pylint ml_tools/eolearn/ml_tools/*.py &&
    pylint visualization/eolearn/visualization/*.py;
  fi
- radon cc core/eolearn/core/*.py -a -nb
- radon cc coregistration/eolearn/coregistration/*.py -a -nb
- radon cc features/eolearn/features/*.py -a -nb
- radon cc geometry/eolearn/geometry/*.py -a -nb
- radon cc io/eolearn/io/*.py -a -nb
- radon cc mask/eolearn/mask/*.py -a -nb
- radon cc ml_tools/eolearn/ml_tools/*.py -a -nb
- radon cc visualization/eolearn/visualization/*.py -a -nb
- 'if [ "$TRAVIS_PULL_REQUEST" != "false" ]; then pytest --ignore io/eolearn/tests; fi'
- if [ "$TRAVIS_PULL_REQUEST" = "false" ]; then
    if [ $TRAVIS_PYTHON_VERSION == '3.6' ]; then
      pytest -c=.coveragerc;
    else
      pytest;
    fi
  fi
- 'if [ "$TRAVIS_PULL_REQUEST" = "false" ]; then pytest --nbval-lax examples/visualization/EOPatchVisualization.ipynb  ; fi'

after_success:
- if [ $TRAVIS_PYTHON_VERSION == '3.6' ] && [ "$TRAVIS_PULL_REQUEST" = "false" ]; then codecov; fi