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wheels.yml
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# Workflow to build and test wheels
name: Wheel builder
on:
schedule:
# Nightly build at 3:42 A.M.
- cron: "42 3 */1 * *"
push:
branches:
- main
# Release branches
- "[0-9]+.[0-9]+.X"
pull_request:
branches:
- main
- "[0-9]+.[0-9]+.X"
# Manual run
workflow_dispatch:
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
if: github.repository == 'scikit-learn/scikit-learn'
outputs:
build: ${{ steps.check_build_trigger.outputs.build }}
steps:
- name: Checkout scikit-learn
uses: actions/checkout@v3
with:
ref: ${{ github.event.pull_request.head.sha }}
- id: check_build_trigger
name: Check build trigger
run: bash build_tools/github/check_build_trigger.sh
# Build the wheels for Linux, Windows and macOS for Python 3.9 and newer
build_wheels:
name: Build wheel for cp${{ 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:
# Window 64 bit
# Note: windows-2019 is needed for older Python versions:
# https://github.com/scikit-learn/scikit-learn/issues/22530
- os: windows-latest
python: 39
platform_id: win_amd64
- os: windows-latest
python: 310
platform_id: win_amd64
- os: windows-latest
python: 311
platform_id: win_amd64
- os: windows-latest
python: 312
platform_id: win_amd64
# 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
- os: ubuntu-latest
python: 311
platform_id: manylinux_x86_64
manylinux_image: manylinux2014
- os: ubuntu-latest
python: 312
platform_id: manylinux_x86_64
manylinux_image: manylinux2014
# MacOS x86_64
- os: macos-latest
python: 39
platform_id: macosx_x86_64
- os: macos-latest
python: 310
platform_id: macosx_x86_64
- os: macos-latest
python: 311
platform_id: macosx_x86_64
- os: macos-latest
python: 312
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
- os: macos-14
python: 311
platform_id: macosx_arm64
- os: macos-14
python: 312
platform_id: macosx_arm64
steps:
- name: Checkout scikit-learn
uses: actions/checkout@v3
- name: Setup Python
uses: actions/setup-python@v5
with:
python-version: "3.11" # 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 }}
# Needed on Windows CI to compile with Visual Studio compiler
# otherwise Meson detects a MINGW64 platform and use MINGW64
# toolchain
CIBW_CONFIG_SETTINGS_WINDOWS: "setup-args=--vsenv"
CIBW_REPAIR_WHEEL_COMMAND_WINDOWS: bash build_tools/github/repair_windows_wheels.sh {wheel} {dest_dir}
CIBW_BEFORE_TEST_WINDOWS: bash build_tools/github/build_minimal_windows_image.sh ${{ matrix.python }}
CIBW_TEST_REQUIRES: pytest pandas
CIBW_TEST_COMMAND: bash {project}/build_tools/wheels/test_wheels.sh
CIBW_TEST_COMMAND_WINDOWS: bash {project}/build_tools/github/test_windows_wheels.sh ${{ matrix.python }}
CIBW_BUILD_VERBOSITY: 1
run: bash build_tools/wheels/build_wheels.sh
- name: Store artifacts
uses: actions/upload-artifact@v3
with:
path: wheelhouse/*.whl
update-tracker:
uses: ./.github/workflows/update_tracking_issue.yml
if: ${{ always() }}
needs: [build_wheels]
with:
job_status: ${{ needs.build_wheels.result }}
secrets:
BOT_GITHUB_TOKEN: ${{ secrets.BOT_GITHUB_TOKEN }}
# 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@v3
- 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: Test source distribution
run: bash build_tools/github/test_source.sh
env:
SKLEARN_SKIP_NETWORK_TESTS: 1
- name: Store artifacts
uses: actions/upload-artifact@v3
with:
path: dist/*.tar.gz
# Upload the wheels and the source distribution
upload_anaconda:
name: Upload to Anaconda
runs-on: ubuntu-latest
environment: upload_anaconda
needs: [build_wheels, build_sdist]
# The artifacts cannot be uploaded on PRs
if: github.event_name != 'pull_request'
steps:
- name: Checkout scikit-learn
uses: actions/checkout@v3
- name: Download artifacts
uses: actions/download-artifact@v3
with:
path: dist
- name: Setup Python
uses: actions/setup-python@v5
- name: Upload artifacts
env:
# Secret variables need to be mapped to environment variables explicitly
SCIKIT_LEARN_NIGHTLY_UPLOAD_TOKEN: ${{ secrets.SCIKIT_LEARN_NIGHTLY_UPLOAD_TOKEN }}
SCIKIT_LEARN_STAGING_UPLOAD_TOKEN: ${{ secrets.SCIKIT_LEARN_STAGING_UPLOAD_TOKEN }}
ARTIFACTS_PATH: dist/artifact
# Force a replacement if the remote file already exists
run: bash build_tools/github/upload_anaconda.sh