chore(deps): add umap-learn and scikit-learn for the image map - #36
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Adds the projection/clustering dependencies for the semantic image map: umap-learn (resolves 0.5.12, pulling pynndescent/llvmlite) and scikit-learn (resolves 1.9.0) for DBSCAN. numba is guarded to >=0.59,<0.62 because numba releases tighten numpy bounds and this project pins numpy<2.0 (currently 1.26.4; numba resolves 0.61.2). A smoke test fits a tiny UMAP + DBSCAN so CI fails loudly here — rather than in feature code — if the numba/llvmlite install matrix breaks. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Summary
Stacked on the indexer PR (PR 3 of the Image Map stack). Dependencies only:
umap-learn~=0.5.7(resolves 0.5.12; pulls pynndescent/llvmlite/numba)scikit-learn~=1.5(resolves 1.9.0) for DBSCANnumba>=0.59,<0.62guard (resolves 0.61.2) — numba releases tighten numpy bounds and this project pinsnumpy<2.0(locked 1.26.4)Isolated in its own PR because the numba/llvmlite install matrix is the most likely thing to break CI or downstream installs; reverting/adjusting stays trivial.
Testing
tests/app/services/image_index/test_umap_import.pyfits a tiny UMAP + DBSCAN so CI fails loudly here — rather than in feature code — if the JIT stack is broken (also surfaces the cold-cache JIT cost).🤖 Generated with Claude Code