Python rewrite of the Urb/Homemaker stack
Bug fix: _entrance_bid_for_stair now returns None when the stair leaf has an outdoor neighbour with public access — Perl's Entrances function picks the via-outdoor priority (3.5 > 3) which maps the stair to a leaf id rather than a boundary id, so Boundary_Id(edge) eq leaf_id never matches and no entrance corners are added. Without this fix 7 files had an extra 'staircase volume' failure from corners [3,1,2] giving stair_fit=0.718 instead of [3]→1.095. New: Fitness._evaluate_full() extracts the shared pipeline so evaluate() and score_with_fails() both use it. NativeEvaluator added to innerloop.py as a drop-in for OracleEvaluator; optimise() defaults to use_native=True. Gate results: 35/35 score parity (rel_tol=1e-4), 35/35 fail-set identity, native speed ~45ms/eval vs oracle ~1000ms/eval batched = 23x speedup. OracleEvaluator kept for validation; oracle.score_batch unchanged. Co-Authored-By: Claude Sonnet 4.6 <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.