Python rewrite of the Urb/Homemaker stack
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Bruno Postle 8efe25601f Update DESIGN.md with findings from source review of Urb
- §4.5: slide() re-randomises cuts (no fine-tuning operator exists) —
  strengthens the geometry-headroom explanation
- §4.6: throughput arithmetic shows native fitness effectively gates
  topology search at scale; oracle suffices for Phase 1 + small Phase 2
- §5: new decision 6 — Lamarckian warm-start of the inner loop; penalty
  reshaping must preserve inner-loop cliff protection
- §6: native-fitness port scope expanded (occlusion/daylight subsystem,
  cost denominator, structural failures, missing-space failure stacking,
  two-phase graph build, has_vertical_connection stub)
- §7: Phase 2 re-scoped as small-scale proof with budgets in oracle
  evaluations; Phase 1 gains warm-vs-cold + optimiser bake-off experiments
- §8: risks updated (reshaping tension, height DOF, confirmed t3 bug)
2026-06-12 00:34:51 +01:00
.beads bd init: initialize beads issue tracking 2026-06-11 23:27:11 +01:00
.claude Scaffold homemaker-py with validated geometry port 2026-06-10 20:50:20 +01:00
experiments Full-fitness frozen-topology optimisation validates geometry inner loop 2026-06-10 22:27:30 +01:00
src/homemaker Add programme/solver/oracle + sizing experiments (negative result) 2026-06-10 21:49:31 +01:00
.gitignore bd init: initialize beads issue tracking 2026-06-11 23:27:11 +01:00
AGENTS.md bd init: initialize beads issue tracking 2026-06-11 23:27:11 +01:00
CLAUDE.md Scaffold homemaker-py with validated geometry port 2026-06-10 20:50:20 +01:00
DESIGN.md Update DESIGN.md with findings from source review of Urb 2026-06-12 00:34:51 +01:00
pyproject.toml Scaffold homemaker-py with validated geometry port 2026-06-10 20:50:20 +01:00
README.md Scaffold homemaker-py with validated geometry port 2026-06-10 20:50:20 +01:00

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

  1. Solver experiment (current): port Urb's geometry, re-solve ratios from programme targets, score the result against the original via the Perl oracle.
  2. Native Python fitness (retire the Perl oracle).
  3. Canonical slicing encoding (normalized Polish expression) + memetic search.

Layout

  • src/homemaker/dom.py — read/write Urb .dom YAML into a Node tree.
  • src/homemaker/geometry.py — faithful port of Urb's top-down geometry.
  • src/homemaker/programme.py — parse patterns.config space requirements.
  • src/homemaker/solver.py — bottom-up ratio solve (scipy).
  • src/homemaker/oracle.py — Phase-1 scaffold: score a .dom via Urb's urb-fitness.pl.

The Perl oracle is the only throwaway component; everything else is permanent.