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Workflow file for this run

# Workflow to build the parallelproj C/CUDA libs (incl. installation of CUDA)
name: Build C/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
- 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 ${{env.BUILD_TYPE}} -VV -E cuda
- name: Set up Python 3.11
uses: actions/setup-python@v3
with:
python-version: 3.11
- name: Install Python dependencies
run: |
python -m pip install --upgrade pip
python -m pip install flake8 pytest pytest-cov
python -m pip install torch --index-url https://download.pytorch.org/whl/cpu
pip install .
- name: Lint with flake8
run: |
# stop the build if there are Python syntax errors or undefined names
flake8 --count --show-source --statistics --max-line-length 127 python/parallelproj
- name: find installed libparallelproj_c
run: |
find /usr/local/lib -name "libparallelproj_c.so"
- name: Test with pytest
run: |
export PARALLELPROJ_C_LIB=/usr/local/lib/libparallelproj_c.so
export PYTHONPATH=${PYTHONPATH}:${PWD}/python
pytest --cov-report term-missing --cov=python/parallelproj --cov-fail-under=100 -v test/