Files
BFM-decomp/tools/wave
Drew T bcc3130eb4 feat(phase-30 S49): the A-prop word-diff card + aprop_wave — 56 banked from the >=16 head (§170)
- NEW family_cousins.py --aprop-cards + tools/wave/aprop_wave.js: lane A (1,700 open fns /
  76,419 ins) had NO card type — cousin diffs are empty for h_seq-identical members, so the card
  is a positional WORD diff vs the matched sibling, grouped BY FAMILY (one agent, N drafts).
  Head cards: 13 families / 433 members, median TWO differing words each.
- calibration 9 batches / 108 members: 98 agent-MATCH (91%, best of any wave) -> 56 BANKED (57%),
  ~80k tok/banked fn vs 157k (cousin card) vs 400k+ (crack wave). R22 213/213 BYTE-IDENTICAL.
- HONEST GAP (R14): 91% agent -> 57% gate is the worst conversion measured; 14 groups banked 0.
  Hypothesis TESTABLE not proven — family batching concentrates members per destination TU, the
  §169 collision. Re-gate unbanked ONE PER TU before scaling the remaining 320.
- >=16 head diagnosed: 3 of 4 blockers are plumbing — the --band substantial default hid 5 of 13
  families from every prior sweep; one missing file-scope extern (D_801ED98C) gates 56 PURE
  members; dedup_extend is macro-only. Only func_8017C294 is a genuine crack.
- fleet 96.56% fn / 95.2% instr / 89.9% distinct; stubs 12,535 -> 12,468; dedup 2,043/0.
- cookbook §170.
2026-08-13 17:44:20 -06:00
..

tools/wave — the crack-wave harness (P30 S48)

crack_wave.js is the CURRENT wave script, kept in the repo because it encodes contracts that were paid for in real failures. Invoke with Workflow({scriptPath: "tools/wave/crack_wave.js", args:[…]}) where each arg is {name, binary, sub, nins, reach, jr, model, prior}.

Contracts it encodes — do not drop these when editing:

  • Per-agent output dir .run/waveN/<fn>/, and "never delete or modify anything outside your own directory, do not clean up". Wave 2 shared one directory and later agents deleted earlier agents' drafts: 21 adversarially-VERIFIED cracks vanished. (They were all recovered from the run transcripts by tools/recover_drafts.py — but only because the transcript is the backup.)
  • The verifier re-runs sha1sum LAST, after the gate, and reports it separately, so a draft that vanishes mid-run is DETECTED rather than trusted.
  • Prior-notes seeding. A target that previously failed is re-run WITH ITS PREDECESSOR'S MEASURED RESIDUAL (.run/jr48/prior_notes.json). Measured 7/9 (wave 3) and 10/12 (wave 4). NEAR is a cheap RESUMABLE state, not a write-off.
  • The cookbook citation list must name every banked block (§160-§164 today). Idioms are harvested after every wave precisely so the NEXT wave's agents start with them; a stale citation list silently wastes that.
  • Size-routing haiku ≤30 ins / sonnet ≤120 / opus above. Wave 2 (20 of 28 Sonnet) beat the all-Opus wave 1 on bank rate.

Bank rate to date: 67% → 79% → 69% → 68% of cracks survive the whole-binary gate.

adapt_wave.js — the micro-adapt lane (P30 S49)

Cheap-tier companion to crack_wave.js for the COUSIN tier (cookbook §168): members that differ from an already-matched body by ≤3 blocks / ≤6 tokens (family_cousins.py --adapt-cards → .run/adapt_cards.json). The prompt is an EDIT contract, not a crack: copy the seed body, take the symbol surface from the TARGET .s, apply the minimal semantic edit the measured diff implies (usually a constant whose value is readable in the card's member words), iterate under match_one. Same paid-for contracts as crack_wave: per-agent dirs, sha1-last verify, UNVERIFIED ≠ refuted, never touch outside your own dir. Routing: haiku ≤60 ins / sonnet above (the edit is small even when the body is not). Invoke: Workflow({scriptPath:"tools/wave/adapt_wave.js", args:[{wave:"wave7a"}, ...cards]}). Pilot-first (R37): ~30 cards, measure the bank rate, then batch.