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build-test-gha-branches.yml
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# WARNING: There is a lot of duplication between .yml workflows because I don't know (yet) how
# to factorize these workflows. Keep things in sync.
name: Test building on GitHub Actions
on:
push:
branches:
- test-gha/*
jobs:
make-source-dist:
runs-on: ubuntu-20.04
steps:
- name: Install dependencies
run: pip3 install build twine
- name: Get the code
uses: actions/checkout@v4
- name: Build the source distribution
run: python3 -m build --sdist
- name: Check the source distribution
run: twine check dist/*
- name: Upload the source distribution to GitHub Actions artifacts
uses: actions/upload-artifact@v4
with:
name: source-dist
path: dist
build-for-linux:
runs-on: ubuntu-20.04
needs:
- make-source-dist
strategy:
matrix:
python_version: ['3.8', '3.13']
steps:
- name: Install Python
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python_version }}
- name: Install Python packages
run: pip${{ matrix.python_version }} install build auditwheel twine Chrones
- name: Install CUDA
run: |
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/3bf863cc.pub
sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/ /"
sudo apt-get update
sudo apt-get install --yes --no-install-recommends cuda-cudart-dev-12-4 cuda-nvcc-12-4
echo "/usr/local/cuda-12.4/bin" >>$GITHUB_PATH
- name: Install Boost
run: |
cd /home/runner/work
wget https://boostorg.jfrog.io/artifactory/main/release/1.82.0/source/boost_1_82_0.tar.gz
tar xf boost_*.tar.gz
rm boost_*.tar.gz
cd boost_*
sudo cp -r boost /usr/local/include
- name: Install OR-Tools
run: |
cd /home/runner/work
wget https://github.com/google/or-tools/releases/download/v9.11/or-tools_amd64_ubuntu-20.04_cpp_v9.11.4210.tar.gz
tar xf or-tools_*.tar.gz
rm or-tools_*.tar.gz
cd or-tools_*
sudo cp -r include/* /usr/local/include
sudo cp -r lib/* /usr/local/lib
sudo ldconfig
- name: Install patchelf
run: |
cd /home/runner/work
mkdir patchelf
cd patchelf
wget https://github.com/NixOS/patchelf/releases/download/0.18.0/patchelf-0.18.0-x86_64.tar.gz
tar xf *.tar.gz
sudo cp bin/patchelf /usr/local/bin
- name: Download the source distribution from GitHub Actions artifacts
uses: actions/download-artifact@v4
with:
name: source-dist
- name: Unzip the source distribution
run: |
tar xf *.tar.gz
rm *.tar.gz
- name: Build the wheel
run: python${{ matrix.python_version }} -m build --wheel --outdir local-dist lincs-*
env:
LINCS_DEV_FORCE_NVCC: "true"
LINCS_DEV_FORCE_CHRONES: "true"
- name: Make the wheel machine-independent
run: auditwheel repair --plat manylinux_2_31_x86_64 --strip local-dist/*.whl --wheel-dir dist
- name: Check the wheel
run: twine check dist/*.whl
- name: Upload the wheel to GitHub Actions artifacts
uses: actions/upload-artifact@v4
with:
name: wheel-dist-${{ matrix.python_version }}-linux
path: dist
build-for-windows:
runs-on: windows-2022
needs:
- make-source-dist
strategy:
matrix:
python_version: ['3.8', '3.13']
steps:
- name: Install Python
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python_version }}
- name: Install Python packages
run: pip install build delvewheel twine
- name: Install CUDA
uses: Jimver/[email protected]
id: cuda-toolkit
with:
cuda: '12.4.1'
use-github-cache: false
use-local-cache: false
method: network
# Package names from https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html#id2
sub-packages: '["nvcc", "cudart"]'
- name: Install MSys2
uses: msys2/setup-msys2@v2
with:
update: true
msystem: UCRT64
install: >-
gzip
tar
unzip
wget
- name: Install boost
shell: msys2 {0}
run: |
cd /d/a
wget https://boostorg.jfrog.io/artifactory/main/release/1.82.0/source/boost_1_82_0.tar.gz
tar xf boost_*.tar.gz
rm boost_*.tar.gz
mv boost_* boost
cd boost
mkdir -p /d/lincs-deps/include /d/lincs-deps/lib
cp -r boost /d/lincs-deps/include
- name: Install OR-Tools
shell: msys2 {0}
run: |
cd /d/a
wget https://github.com/google/or-tools/releases/download/v9.11/or-tools_x64_VisualStudio2022_cpp_v9.11.4210.zip
unzip or-tools_*.zip
rm or-tools_*.zip
cd or-tools_*
cp -r include/* /d/lincs-deps/include
cp -r lib/* /d/lincs-deps/lib
- name: Download the source distribution from GitHub Actions artifacts
uses: actions/download-artifact@v4
with:
name: source-dist
- name: Unzip the source distribution
shell: msys2 {0}
run: |
tar xf *.tar.gz
rm *.tar.gz
- name: Build the wheel
run: python -m build --wheel --outdir local-dist (get-item lincs-*)
env:
LINCS_DEV_FORCE_NVCC: "true"
LINCS_DEV_DEPENDENCIES: d:\lincs-deps
- name: Make the wheel machine-independent
run: delvewheel repair --strip (get-item local-dist\*.whl) --wheel-dir dist --add-path d:\lincs-deps\lib
- name: Check the wheel
run: twine check (get-item dist\*.whl)
- name: Upload the wheel to GitHub Actions artifacts
uses: actions/upload-artifact@v4
with:
name: wheel-dist-${{ matrix.python_version }}-windows
path: dist
build-for-macos:
runs-on: macos-13
needs:
- make-source-dist
strategy:
matrix:
python_version: ['3.8', '3.13']
env:
MACOSX_DEPLOYMENT_TARGET: 12.0
steps:
- name: Install Python
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python_version }}
- name: Install Python packages
run: pip3 install build delocate twine
- name: Install OpenMP
run: |
cd /Users/runner/work
mkdir openmp
cd openmp
wget https://mac.r-project.org/openmp/openmp-16.0.4-darwin20-Release.tar.gz
tar xf *.tar.gz
sudo cp usr/local/lib/* /usr/local/lib
sudo cp usr/local/include/* /usr/local/include
- name: Install Boost
run: |
cd /Users/runner/work
wget https://boostorg.jfrog.io/artifactory/main/release/1.82.0/source/boost_1_82_0.tar.gz
tar xf boost_*.tar.gz
rm boost_*.tar.gz
cd boost_*
sudo cp -r boost /usr/local/include
- name: Install OR-Tools
run: |
cd /Users/runner/work
wget https://github.com/google/or-tools/releases/download/v9.11/or-tools_x86_64_macOS-14.6.1_cpp_v9.11.4210.tar.gz
tar xf or-tools_x86_64_*.tar.gz
rm or-tools_x86_64_*.tar.gz
wget https://github.com/google/or-tools/releases/download/v9.11/or-tools_arm64_macOS-14.6.1_cpp_v9.11.4210.tar.gz
tar xf or-tools_arm64_*.tar.gz
rm or-tools_arm64_*.tar.gz
sudo cp -r or-tools_arm64_*/include/* /usr/local/include
lipo or-tools*/lib/libortools.9.11.dylib -output /usr/local/lib/libortools.9.11.dylib -create
cd /usr/local/lib
ln -s libortools.9.11.dylib libortools.9.dylib
ln -s libortools.9.dylib libortools.dylib
- name: Download the source distribution from GitHub Actions artifacts
uses: actions/download-artifact@v4
with:
name: source-dist
- name: Unzip the source distribution
run: |
tar xf *.tar.gz
rm *.tar.gz
- name: Build the wheel
run: python3 -m build --wheel --outdir local-dist lincs-*
- name: Make the wheel machine-independent
run: delocate-wheel --wheel-dir dist local-dist/*.whl
- name: Check the wheel
run: twine check dist/*.whl
- name: Upload the wheel to GitHub Actions artifacts
uses: actions/upload-artifact@v4
with:
name: wheel-dist-${{ matrix.python_version }}-macos
path: dist
check:
runs-on: ${{ matrix.os }}
needs:
- build-for-linux
- build-for-windows
- build-for-macos
strategy:
fail-fast: false
matrix:
os:
- ubuntu-20.04
- ubuntu-22.04
- ubuntu-24.04
- windows-2019
- windows-2022
- macos-13
- macos-14
- macos-15
python_version: ['3.8', '3.13']
exclude:
# Older Python versions don't build 'universal2' wheels, so they can't run on the M1 runner that run macOS 14 and 15
- os: macos-14
python_version: '3.8'
- os: macos-15
python_version: '3.8'
- os: macos-14
python_version: '3.9'
- os: macos-15
python_version: '3.9'
- os: macos-14
python_version: '3.10'
- os: macos-15
python_version: '3.10'
steps:
- name: Install Python
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python_version }}
# DO NOT install any other dependencies, to test that the wheels are self-contained
- name: Download the wheels from GitHub Actions artifacts
uses: actions/download-artifact@v4
with:
pattern: wheel-dist-${{ matrix.python_version }}-*
merge-multiple: true
- name: Install the wheel
run: pip${{ matrix.python_version }} install --find-links . --pre lincs
- name: Run lincs
run: lincs --help
- run: lincs generate classification-problem 3 2 --output-problem problem.yml
- run: lincs generate classification-model problem.yml --output-model model.yml
- run: lincs generate classified-alternatives problem.yml model.yml 100 --output-alternatives learning-set.csv
- run: lincs learn classification-model problem.yml learning-set.csv --output-model learned-model.yml
- run: lincs classification-accuracy problem.yml learned-model.yml learning-set.csv