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refactor(setup): update scikit-learn to scikit-lexicographical-trees … #52

refactor(setup): update scikit-learn to scikit-lexicographical-trees …

refactor(setup): update scikit-learn to scikit-lexicographical-trees … #52

Workflow file for this run

# Workflow to build and test wheels
name: Wheel builder
on:
push:
branches:
- main
- submodulev3
- "[0-9]+.[0-9]+.X"
pull_request:
branches:
- main
- submodulev3
- "[0-9]+.[0-9]+.X"
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
jobs:
# Check whether to build the wheels and the source tarball
check_build_trigger:
name: Check build trigger
runs-on: ubuntu-latest
outputs:
build: ${{ steps.check_build_trigger.outputs.build }}
steps:
- name: Checkout scikit-learn
uses: actions/checkout@v4
with:
ref: ${{ github.event.pull_request.head.sha }}
- id: check_build_trigger
name: Check build trigger
run: bash build_tools/github/check_build_trigger.sh
# Build the wheels for Linux and macOS for Python 3.9 and newer
build_wheels:
name: Build wheel for cp${{ matrix.python }}-${{ matrix.platform_id }}-${{ matrix.manylinux_image }}
runs-on: ${{ matrix.os }}
needs: check_build_trigger
if: needs.check_build_trigger.outputs.build
strategy:
# Ensure that a wheel builder finishes even if another fails
fail-fast: false
matrix:
include:
# Linux 64 bit manylinux2014
- os: ubuntu-latest
python: 39
platform_id: manylinux_x86_64
manylinux_image: manylinux2014
# NumPy on Python 3.10 only supports 64bit and is only available with manylinux2014
- os: ubuntu-latest
python: 310
platform_id: manylinux_x86_64
manylinux_image: manylinux2014
# MacOS x86_64
- os: macos-12
python: 39
platform_id: macosx_x86_64
- os: macos-12
python: 310
platform_id: macosx_x86_64
# MacOS arm64
- os: macos-14
python: 39
platform_id: macosx_arm64
- os: macos-14
python: 310
platform_id: macosx_arm64
steps:
- name: Checkout scikit-learn
uses: actions/checkout@v4
- name: Setup Python
uses: actions/setup-python@v5
with:
python-version: "3.9" # update once build dependencies are available
- name: Install conda for macos arm64
if: ${{ matrix.platform_id == 'macosx_arm64' }}
run: |
set -ex
# macos arm64 runners do not have conda installed. Thus we much install conda manually
EXPECTED_SHA="dd832d8a65a861b5592b2cf1d55f26031f7c1491b30321754443931e7b1e6832"
MINIFORGE_URL="https://github.com/conda-forge/miniforge/releases/download/23.11.0-0/Mambaforge-23.11.0-0-MacOSX-arm64.sh"
curl -L --retry 10 $MINIFORGE_URL -o miniforge.sh
# Check SHA
file_sha=$(shasum -a 256 miniforge.sh | awk '{print $1}')
if [ "$EXPECTED_SHA" != "$file_sha" ]; then
echo "SHA values did not match!"
exit 1
fi
# Install miniforge
MINIFORGE_PATH=$HOME/miniforge
bash ./miniforge.sh -b -p $MINIFORGE_PATH
echo "$MINIFORGE_PATH/bin" >> $GITHUB_PATH
echo "CONDA_HOME=$MINIFORGE_PATH" >> $GITHUB_ENV
- name: Set conda environment for non-macos arm64 environments
if: ${{ matrix.platform_id != 'macosx_arm64' }}
run: |
# Non-macos arm64 envrionments already have conda installed
echo "CONDA_HOME=/usr/local/miniconda" >> $GITHUB_ENV
- name: 👀Build and test wheels
env:
CIBW_PRERELEASE_PYTHONS: ${{ matrix.prerelease }}
CIBW_ENVIRONMENT: SKLEARN_SKIP_NETWORK_TESTS=1
SKLEARN_BUILD_PARALLEL=3
CIBW_BUILD: cp${{ matrix.python }}-${{ matrix.platform_id }}
CIBW_ARCHS: all
CIBW_MANYLINUX_X86_64_IMAGE: ${{ matrix.manylinux_image }}
CIBW_MANYLINUX_I686_IMAGE: ${{ matrix.manylinux_image }}
CIBW_BUILD_VERBOSITY: 1
run: bash build_tools/wheels/build_wheels.sh
- name: Store artifacts
uses: actions/upload-artifact@v4
with:
name: cibw-wheels-cp${{ matrix.python }}-${{ matrix.platform_id }}
path: wheelhouse/*.whl
# Build the source distribution under Linux
build_sdist:
name: ⚙️ Source distribution
runs-on: ubuntu-latest
needs: check_build_trigger
if: needs.check_build_trigger.outputs.build
steps:
- name: Checkout scikit-learn
uses: actions/checkout@v4
- name: Setup Python
uses: actions/setup-python@v5
with:
python-version: "3.9" # update once build dependencies are available
- name: Build source distribution
run: bash build_tools/github/build_source.sh
env:
SKLEARN_BUILD_PARALLEL: 3
- name: Store artifacts
uses: actions/upload-artifact@v4
with:
name: cibw-sdist
path: dist/*.tar.gz
# Publish to PyPI
publish-to-pypi:
name: Publish Python 🐍 distribution 📦 to PyPI
needs: [build_wheels, build_sdist]
runs-on: ubuntu-latest
environment:
name: pypi
url: https://pypi.org/project/scikit-lexicographical-trees/
permissions:
id-token: write
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Download the distributions
uses: actions/download-artifact@v4
with:
path: dist/
merge-multiple: true
- name: Publish distribution 📦 to PyPI
uses: pypa/gh-action-pypi-publish@release/v1
with:
password: ${{ secrets.PYPI_PASSWORD }}