Python rewrite of the Urb/Homemaker stack
driver.py (homemaker-py-b39): tournament selection, operators.mutate (storey ops down-weighted) + area-matched crossover, every child's geometry delegated to the warm-started inner loop (Lamarckian write-back; children use a single local CMA phase - the exploratory ladder phase exists for cold projections children never face). Budget stated and accounted in oracle evaluations; near-duplicate fitness guard against population collapse (neutral mutations are common, per 8cs). free_with_keys/ratio_map/warm_x0 promoted from the 8cs experiment into innerloop.py as the Lamarckian inheritance API; alignment with solver.free_branches asserted across the corpus. tests/test_driver.py fakes the inner loop: budget accounting, monotone improvement history, warm-start + sigma plumbing, valid .dom output. 31 tests pass. experiments/run_search.py is the end-to-end acceptance run. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> |
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| .beads | ||
| .claude | ||
| experiments | ||
| src/homemaker | ||
| tests | ||
| .gitignore | ||
| AGENTS.md | ||
| CLAUDE.md | ||
| DESIGN.md | ||
| pyproject.toml | ||
| README.md | ||
homemaker-py
Programme-driven building-layout search over slicing trees. A clean-room Python successor to the Perl Urb project, intended to eventually be 100% Python.
Why a rewrite
Urb represents a building as a binary slicing tree where room sizes are derived top-down from division ratios. That makes room area an emergent property of every cut above it, which:
- gives the genome low locality (a cut near the root rescales every descendant),
- makes target room sizes nearly impossible to hit, so the gaussian size penalty dominates fitness, and
- defeats crossover (transplanted subtrees lose their proportions).
homemaker inverts this: leaves carry target dimensions from the programme and division ratios are solved bottom-up for a fixed topology. The evolutionary search then only explores topology + types + adjacency.
Phase plan
- Solver experiment (current): port Urb's geometry, re-solve ratios from programme targets, score the result against the original via the Perl oracle.
- Native Python fitness (retire the Perl oracle).
- Canonical slicing encoding (normalized Polish expression) + memetic search.
Layout
src/homemaker/dom.py— read/write Urb.domYAML into aNodetree.src/homemaker/geometry.py— faithful port of Urb's top-down geometry.src/homemaker/programme.py— parsepatterns.configspace requirements.src/homemaker/solver.py— bottom-up ratio solve (scipy).src/homemaker/oracle.py— Phase-1 scaffold: score a.domvia Urb'surb-fitness.pl.
The Perl oracle is the only throwaway component; everything else is permanent.