language: python

addons:
  apt:
    packages:
      - gromacs
      - doxygen
      - python-numpy
      - python-scipy
      - libfftw3-dev

matrix:
  include:
    - sudo: required
      env: ==CPU_OPENCL==
           OPENCL=true
           CUDA=false
           CC=gcc
           CXX=g++
           CMAKE_FLAGS="
           -OPENMM_BUILD_OPENCL_LIB=ON
           -DOPENMM_BUILD_OPENCL_TESTS=ON
           -DOPENMM_BUILD_STATIC_LIB=OFF
           -DOPENMM_BUILD_CPU_LIB=OFF
           -DOPENMM_BUILD_REFERENCE_TESTS=OFF
           -DOPENMM_BUILD_SERIALIZATION_TESTS=OFF
           -DOPENMM_BUILD_PME_PLUGIN=OFF
           -DOPENMM_BUILD_AMOEBA_PLUGIN=OFF
           -DOPENMM_BUILD_PYTHON_WRAPPERS=OFF
           -DOPENMM_BUILD_C_AND_FORTRAN_WRAPPERS=OFF
           -DOPENMM_BUILD_EXAMPLES=OFF"
      addons: {apt: {packages: []}}

    - sudo: required
      env: ==CUDA_COMPILE==
           CUDA=true
           OPENCL=false
           CUDA_VERSION="7.0-28"
           CMAKE_FLAGS="
             -DOPENMM_BUILD_CUDA_TESTS=OFF
             -DOPENMM_BUILD_OPENCL_TESTS=OFF
             -DOPENMM_BUILD_PYTHON_WRAPPERS=OFF
             -DOPENMM_BUILD_REFERENCE_TESTS=OFF
             -DOPENMM_BUILD_SERIALIZATION_TESTS=OFF
             -DOPENMM_BUILD_C_AND_FORTRAN_WRAPPERS=OFF
             -DOPENMM_BUILD_EXAMPLES=OFF
             -DOPENCL_LIBRARY=/usr/local/cuda-7.0/lib64/libOpenCL.so"
      addons: {apt: {packages: []}}

    - language: objective-c
      os: osx
      env: ==OSX==
           OPENCL=false
           CUDA=false
           CMAKE_FLAGS="
             -DOPENMM_BUILD_OPENCL_TESTS=OFF
             -DSWIG_EXECUTABLE=/usr/local/Cellar/swig/3.0.2/bin/swig"
      addons: {apt: {packages: []}}

    - sudo: false
      python: 2.7_with_system_site_packages
      env: ==STATIC_LIB==
           OPENCL=false
           CUDA=false
           CC=clang
           CXX=clang++
           CMAKE_FLAGS="-DOPENMM_BUILD_STATIC_LIB=ON"

    - sudo: false
      python: 2.7_with_system_site_packages
      env: ==PYTNON_2==
           OPENCL=false
           CUDA=false
           CC=clang
           CXX=clang++
           DOCS_DEPLOY=true
           CMAKE_FLAGS="-DOPENMM_GENERATE_API_DOCS=ON"

    - sudo: false
      python: 3.4
      env: ==PYTHON_3==
           OPENCL=false
           CUDA=false
           CC=gcc
           CXX=g++
           CMAKE_FLAGS=""

before_install:
  - if [[ "$TRAVIS_OS_NAME" == "osx" ]]; then
      brew install doxygen swig fftw;
      sudo easy_install pytest;
    fi
  - if [[ "$OPENCL" == "true" ]]; then
      sudo apt-get -yq update > /dev/null 2>&1 ;
      sudo apt-get install -qq fglrx=2:8.960-0ubuntu1 opencl-headers;
    fi
  # Install swig for Python wrappers. However, testing CUDA and OpenCL, we
  # skip the Python wrapper for speed. We're not using anaconda python,
  # but this is a fast way to get an apparently functional precompiled
  # build of swig that's more modern than what's in apt.
  - if [[ "$OPENCL" == "false" && "$CUDA" == "false" && "$TRAVIS_OS_NAME" == "linux" ]]; then
      wget https://anaconda.org/omnia/swig/3.0.7/download/linux-64/swig-3.0.7-0.tar.bz2;
      mkdir $HOME/swig;
      tar -xjvf swig-3.0.7-0.tar.bz2 -C $HOME/swig;
      export PATH=$HOME/swig/bin:$PATH;
      export SWIG_LIB=$HOME/swig/share/swig/3.0.7;
    fi

  - if [[ "$CUDA" == "true" ]]; then
      wget "http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1204/x86_64/cuda-repo-ubuntu1204_${CUDA_VERSION}_amd64.deb";
      sudo dpkg -i cuda-repo-ubuntu1204_${CUDA_VERSION}_amd64.deb;
      sudo apt-get update -qq;
      export CUDA_APT=${CUDA_VERSION%-*};
      export CUDA_APT=${CUDA_APT/./-};
      sudo apt-get install -y cuda-drivers cuda-core-${CUDA_APT} cuda-cudart-dev-${CUDA_APT} cuda-cufft-dev-${CUDA_APT};
      sudo apt-get clean;
      export CUDA_HOME=/usr/local/cuda-${CUDA_VERSION%%-*};
      export LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH};
      export PATH=${CUDA_HOME}/bin:${PATH};
    fi

script:
  - CTEST_STOP_TIME=$(python -c "from datetime import datetime, timedelta; import sys; sys.stdout.write((datetime.now() + timedelta(minutes=25)).strftime('%H:%M:%S'))")
  - cmake . $CMAKE_FLAGS -DCMAKE_INSTALL_PREFIX=$HOME/OpenMM
  - make -j2 install
  - if [[ "$OPENCL" == "true" ]]; then ./TestOpenCLDeviceQuery; fi
  - if [[ "$OPENCL" == "false" && "$CUDA" == "false" ]]; then
      if [[ "$TRAVIS_OS_NAME" == "osx" ]]; then
          sudo make PythonInstall;
      else
          make PythonInstall;
      fi;
      python -m simtk.testInstallation;
      (cd python/tests && py.test -v);
    fi

  - # run all of the tests, making sure failures at this stage don't cause travis failures
  - python devtools/run-ctest.py -j2 --schedule-random --stop-time $CTEST_STOP_TIME
  - if [[ ! -z "${DOCS_DEPLOY}" && "${DOCS_DEPLOY}" = "true" ]]; then
      pip install sphinx sphinxcontrib-lunrsearch sphinxcontrib-autodoc_doxygen;
      make C++ApiDocs PythonApiDocs;
      mkdir -p api-docs;
      mv api-python api-docs;
      mv api-c++ api-docs;
    fi

deploy:
  - provider: s3
    access_key_id:
      secure: "AjE3nuj6kVuf21mOf0aZydW/3S/uCWsaoXC/huRxkxrmsNlnHBNGHZ9N48san1IxZAQM5pyaf7Yo9gkHur9obgq+e3lNgGvPp2mfkNXtLYcLJ46JF4kYliAtutjLWskrLg25Gu3xzF4EQkqSe0Le/oWldWWbTgvvH+KRq/vTHzI="
    secret_access_key:
      secure: "ISDQNSG2t0666PULtffo4wsKLFdu622EzuZxmiTxvLkjQGQlqm5+qn1Gd5UMLk7Ts2E0psdnmSrf6LVVCfrrQO/hcZHiJw3ZslMPDBBlRr8Epwdldn98ULhVoyQKtjXjCPzroa2UZCl1RFs4Nwb/VdDlI490XV0Lp4Woj1AT8tY="
    bucket: "docs.openmm.org"
    skip_cleanup: true
    region: us-west-1
    local_dir: api-docs/
    upload_dir: development
    on:
      branch: master
      condition: '! -z "${DOCS_DEPLOY}" && "${DOCS_DEPLOY}" = "true"'