Python rewrite of the Urb/Homemaker stack
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Bruno Postle 507cf82d99 Add mutate_level_retype: swap leaf types between storeys
Cross-storey equivalent of mutate_retype. Directly addresses
level-constraint failures ("l1 on wrong level") by moving a room type
from one floor to another without changing topology or geometry.

Registered in MUTATIONS at default weight (1.0); no drastic geometry
perturbation so it does not need the reduced level_add/delete weight.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-14 10:52:48 +01:00
.beads Lexicographic outer-search comparison, preserve inner-loop cliff (homemaker-py-yg5) 2026-06-14 09:20:03 +01:00
.claude Scaffold homemaker-py with validated geometry port 2026-06-10 20:50:20 +01:00
examples Fix mutate_level_add: use generic C/O floor instead of room duplicate 2026-06-14 10:33:05 +01:00
experiments Lexicographic outer-search comparison, preserve inner-loop cliff (homemaker-py-yg5) 2026-06-14 09:20:03 +01:00
src/homemaker_layout Add mutate_level_retype: swap leaf types between storeys 2026-06-14 10:52:48 +01:00
tests Lexicographic outer-search comparison, preserve inner-loop cliff (homemaker-py-yg5) 2026-06-14 09:20:03 +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 Fix stair-fit parity: entrance corners + weighted has_circulation (homemaker-py-w1e/q70) 2026-06-13 20:55:25 +01:00
DESIGN.md Lexicographic outer-search comparison, preserve inner-loop cliff (homemaker-py-yg5) 2026-06-14 09:20:03 +01:00
pyproject.toml Rename package: homemaker → homemaker-layout 2026-06-14 08:18:06 +01:00
README.md Rename package: homemaker → homemaker-layout 2026-06-14 08:18:06 +01:00

homemaker-layout

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_layout/dom.py — read/write Urb .dom YAML into a Node tree.
  • src/homemaker_layout/geometry.py — faithful port of Urb's top-down geometry.
  • src/homemaker_layout/programme.py — parse patterns.config space requirements.
  • src/homemaker_layout/solver.py — bottom-up ratio solve (scipy).
  • src/homemaker_layout/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.