Python rewrite of the Urb/Homemaker stack
Bruno Postle
92cc63348e
operators.py (homemaker-py-nyb): divide/undivide/retype/swap/rotate/ level_add/level_delete + Urb-style area-matched base-storey crossover. Operators edit the decoded Node tree; genome.encode absorbs all repair (dangling deltas, storey misalignment) so every child is a valid genome by construction. Geometry moves deliberately absent — the inner loop owns continuous DOF, and 8cs made Lamarckian re-optimisation mandatory. Fixes dom._link to CLEAR stale below-links when a path vanishes from the storey below (undividing a base branch left upper nodes pointing at orphaned quads; oracle scoring unaffected but in-process geometry crashed). Acceptance (experiments/operator_locality.py, flag-on): 115/115 children scored without error; geometry perturbation small for core ops (retype 0.07, divide/undivide 0.14, swap/crossover 0.16-0.17), fitness perturbation large for all (0.68-0.99 rel) — the 0.5^n cliff flags most raw moves, confirming warm-started re-optimisation + penalty reshaping as the load-bearing design choices. 27 tests pass. Closes homemaker-py-nyb. 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.