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The Python job checks that uv.lock matches pyproject.toml, then installs the locked versions with the CPU build of torch, so runners skip about 3 GB of CUDA packages. ffmpeg is installed so the rotation test runs. The opt-in real-model test stays skipped. The second job builds and type-checks the viewer, builds the wheel, fails if the wheel lacks the viewer, and lints the viewer source. Signed-off-by: RDCLder <raymondyang.dev@gmail.com>
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Adds a GitHub Actions workflow that runs on every push to
mainand every pull request.Python job (3.11 and 3.12). It checks that
uv.lockmatchespyproject.toml, then installs the locked versions with the CPU build of torch. That keeps runners from downloading about 3 GB of CUDA packages they cannot use. It installs ffmpeg so the rotation test runs, then runsruff check,ruff format --checkandpytest. The opt-in real-model test stays skipped.Viewer and wheel job. It runs
scripts/build.sh, which installs, type-checks and builds the viewer, builds the wheel, and fails if the wheel does not contain the viewer. It then lints the viewer with oxlint.The README gets a CI badge.