cuda_linux_build.yml

# Workflow to build the parallelproj C/CUDA libs (incl. installation of CUDA)
name: Build C/CUDA/python ubuntu-latest

on:
  push:
    branches: [ "master" ]
  pull_request:
    branches: [ "master" ]

env:
  # Customize the CMake build type here (Release, Debug, RelWithDebInfo, etc.)
  BUILD_TYPE: Release

jobs:
  build:
    # The CMake configure and build commands are platform agnostic and should work equally well on Windows or Mac.
    # You can convert this to a matrix build if you need cross-platform coverage.
    # See: https://docs.github.com/en/free-pro-team@latest/actions/learn-github-actions/managing-complex-workflows#using-a-build-matrix
    runs-on: ubuntu-latest

    steps:
    - uses: actions/checkout@v3

#    - uses: Jimver/cuda-toolkit@v0.2.11
#      id: cuda-toolkit
#      with:
#        cuda: '12.1.0'
#        method: 'network'

    - name: Configure CMake
      # Configure CMake in a 'build' subdirectory. `CMAKE_BUILD_TYPE` is only required if you are using a single-configuration generator such as make.
      # See https://cmake.org/cmake/help/latest/variable/CMAKE_BUILD_TYPE.html?highlight=cmake_build_type
      run: cmake -B ${{github.workspace}}/build -DCMAKE_BUILD_TYPE=${{env.BUILD_TYPE}}

    - name: Build C/CUDA libs with CMake
      # Build your program with the given configuration
      run: sudo cmake --build ${{github.workspace}}/build --config ${{env.BUILD_TYPE}} --target install

    - name: Test_C
      working-directory: ${{github.workspace}}/build
      # Execute tests defined by the CMake configuration.
      # See https://cmake.org/cmake/help/latest/manual/ctest.1.html for more detail
      # we have to skip the CUDA tests since there are now CUDA devices available
      run: ctest -C ${{env.BUILD_TYPE}} -VV -E cuda

    - name: Set up Python 3.11
      uses: actions/setup-python@v3
      with:
        python-version: 3.11
        
    - name: Install Python dependencies
      run: |
        python -m pip install --upgrade pip
        python -m pip install flake8 pytest
        pip install .
        
    - name: Lint with flake8
      run: |
        # stop the build if there are Python syntax errors or undefined names
        flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
        ## exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
        #flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics

    - name: find installed libparallelproj_c
      run: |
        find /usr/local/lib -name "libparallelproj_c.so"
           
    - name: Test with pytest
      run: |
        export PARALLELPROJ_C_LIB=/usr/local/lib/libparallelproj_c.so
        pytest -v