80 lines
2.3 KiB
YAML
80 lines
2.3 KiB
YAML
name: release
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on:
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push:
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tags: ["v*"]
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workflow_dispatch:
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permissions:
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contents: write
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jobs:
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build:
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strategy:
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fail-fast: false
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matrix:
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include:
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- os: windows-latest
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platform: windows
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artifact: "*.zip"
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- os: ubuntu-latest
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platform: linux
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artifact: "*.tar.gz"
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- os: macos-latest
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platform: macos
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artifact: "*.tar.gz"
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runs-on: ${{ matrix.os }}
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steps:
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# build.py copies only what "git ls-files" reports, so it needs real
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# history rather than a tarball export.
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- uses: actions/checkout@v4
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- uses: actions/setup-node@v4
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with:
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node-version: "22"
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cache: npm
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cache-dependency-path: web/package-lock.json
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- uses: actions/setup-python@v5
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with:
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python-version: "3.11"
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# No pip install: build.py is stdlib-only, deliberately, so the release
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# path cannot be broken by a dependency it does not ship.
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- name: Build archive
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run: python packaging/build.py --platform ${{ matrix.platform }}
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- uses: actions/upload-artifact@v4
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with:
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name: LM-Gambit-${{ matrix.platform }}
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path: dist/${{ matrix.artifact }}
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if-no-files-found: error
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publish:
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# Tag pushes publish; manual runs stop at the artifacts above, so the
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# workflow stays usable for a dry run without creating a release.
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if: startsWith(github.ref, 'refs/tags/v')
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needs: build
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runs-on: ubuntu-latest
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steps:
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- uses: actions/download-artifact@v4
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with:
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path: artifacts
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merge-multiple: true
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- uses: softprops/action-gh-release@v2
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with:
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files: artifacts/*
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draft: true
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generate_release_notes: true
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body: |
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Download the archive for your platform, extract it, and run the
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launcher inside — `LM-Gambit.bat` on Windows, `./LM-Gambit.sh` on
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macOS and Linux.
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The first run creates a virtual environment and installs
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dependencies; that takes a few minutes and happens once. It needs
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**Python 3.10 or newer** on the machine. See `GPU-ACCELERATION.md`
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in the archive for CUDA, Metal and ROCm.
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