Python rewrite of the Urb/Homemaker stack
Find a file
Bruno Postle c6dd9434d3 Config inheritance: load parent patterns.config as base layer (homemaker-py-n5k)
programme.load_programme_dir(directory) mirrors urb-evolve.pl: loads
../patterns.config first, then merges local patterns.config on top (shallow,
local top-level keys win). driver.search now uses load_programme_dir instead
of hardcoding the local path, so the type pool respects parent config.

fitness.load_config already had this behaviour; programme now matches.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-14 07:50:39 +01:00
.beads Config inheritance: load parent patterns.config as base layer (homemaker-py-n5k) 2026-06-14 07:50:39 +01:00
.claude Scaffold homemaker-py with validated geometry port 2026-06-10 20:50:20 +01:00
examples/programme-house Close homemaker-py-hqw: make project standalone (no Perl/Urb dependency) 2026-06-13 23:39:20 +01:00
experiments Phase 3 gate (homemaker-py-ccw): scaled search on native fitness 2026-06-13 22:10:38 +01:00
src/homemaker Config inheritance: load parent patterns.config as base layer (homemaker-py-n5k) 2026-06-14 07:50:39 +01:00
tests Parallelise outer search population evaluation (homemaker-py-5l6) 2026-06-14 06:55:58 +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 Phase 3 gate (homemaker-py-ccw): scaled search on native fitness 2026-06-13 22:10:38 +01:00
pyproject.toml Add homemaker-evolve CLI tool (homemaker-py-2wc) 2026-06-14 07:48:13 +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.