{"abstract":"Md and lower-case ml values are published as Mw unchanged.","category":"Seismic magnitude estimation","checks":8,"contract":"Case-sensitive type. ML: < 3.5 -> 0.8 ML + 0.6; 3.5..6.0 -> ML; > 6.0 None. mb: 3.5..6.2 -> 1.54 mb - 2.54, else None. Ms: <= 6.1 -> 0.67 Ms + 2.07; 6.1 < Ms <= 8.2 -> 0.99 Ms + 0.08; else None. Other types None. Round half up to 0.1 via floor(x*10 + 0.5)/10.","evaluation_group":"w2-seismic_magnitude_estimation-magnitude-conversion","failed_approach":"Returning the raw value still presents it as Mw.","family":"w2-seismic_magnitude_estimation-magnitude-conversion-unknown-type-handling","id":"FA-71731","implementations":{"attempt":{"sha256":"3b2755290a5c7a6bf958dfeb4023b0b0e06563c29049119029ef1189a6e5a58b","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport math\nN = 1\nobservations = []\ndef solve(mtype, value):\n    if mtype == \"ML\":\n        if value > 6.0:\n            return None\n        x = 0.8 * value + 0.6 if value < 3.5 else value\n    elif mtype == \"mb\":\n        if not (3.5 <= value <= 6.2):\n            return None\n        x = 1.54 * value - 2.54\n    elif mtype == \"Ms\":\n        if value > 8.2:\n            return None\n        x = 0.67 * value + 2.07 if value <= 6.1 else 0.99 * value + 0.08\n    else:\n        return value\n    return math.floor(x * 10 + 0.5) / 10\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['ML 2.0', ['ML', 2.0], 2.2], ['ML 3.4', ['ML', 3.4], 3.3], ['ML 3.5', ['ML', 3.5], 3.5], ['ML 4.8', ['ML', 4.8], 4.8], ['ML 6.0', ['ML', 6.0], 6.0], ['ML 6.1', ['ML', 6.1], None], ['Md 3.0', ['Md', 3.0], None], ['ml 4.0', ['ml', 4.0], None]], [['mb 3.4', ['mb', 3.4], None], ['mb 3.5', ['mb', 3.5], 2.9], ['mb 5.0', ['mb', 5.0], 5.2], ['mb 6.2', ['mb', 6.2], 7.0], ['mb 6.3', ['mb', 6.3], None], ['Ms 4.0', ['Ms', 4.0], 4.8], ['Md 3.0', ['Md', 3.0], None], ['ml 4.0', ['ml', 4.0], None]], [['ML 2.0', ['ML', 2.0], 2.2], ['ML 3.4', ['ML', 3.4], 3.3], ['Ms 6.1', ['Ms', 6.1], 6.2], ['Ms 6.2', ['Ms', 6.2], 6.2], ['Ms 8.2', ['Ms', 8.2], 8.2], ['Ms 8.3', ['Ms', 8.3], None], ['Md 3.0', ['Md', 3.0], None], ['ml 4.0', ['ml', 4.0], None]], [['ML 3.4', ['ML', 3.4], 3.3], ['ML 3.5', ['ML', 3.5], 3.5], ['ML 4.8', ['ML', 4.8], 4.8], ['ML 6.0', ['ML', 6.0], 6.0], ['ML 6.1', ['ML', 6.1], None], ['ML 6.9', ['ML', 6.9], None], ['Md 3.0', ['Md', 3.0], None], ['ml 4.0', ['ml', 4.0], None]], [['mb 3.5', ['mb', 3.5], 2.9], ['mb 5.0', ['mb', 5.0], 5.2], ['mb 6.2', ['mb', 6.2], 7.0], ['mb 6.3', ['mb', 6.3], None], ['Ms 4.0', ['Ms', 4.0], 4.8], ['Ms 6.0', ['Ms', 6.0], 6.1], ['Md 3.0', ['Md', 3.0], None], ['ml 4.0', ['ml', 4.0], None]]]\nfor label, args, expected in fixtures[N - 1]:\n    check(label, solve(*args), expected)\nprint(json.dumps({\"observations\": observations, \"passed\": all(x[\"passed\"] for x in observations)}, ensure_ascii=False))\nraise SystemExit(0 if all(x[\"passed\"] for x in observations) else 1)\n"},"broken":{"sha256":"a16a1a70579614eb84472032572a39d24dddc6b821922fe0ecc4a77b63b0c579","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport math\nN = 1\nobservations = []\ndef solve(mtype, value):\n    if mtype == \"ML\":\n        if value > 6.0:\n            return None\n        x = 0.8 * value + 0.6 if value < 3.5 else value\n    elif mtype == \"mb\":\n        if not (3.5 <= value <= 6.2):\n            return None\n        x = 1.54 * value - 2.54\n    elif mtype == \"Ms\":\n        if value > 8.2:\n            return None\n        x = 0.67 * value + 2.07 if value <= 6.1 else 0.99 * value + 0.08\n    else:\n        x = value\n    return math.floor(x * 10 + 0.5) / 10\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['ML 2.0', ['ML', 2.0], 2.2], ['ML 3.4', ['ML', 3.4], 3.3], ['ML 3.5', ['ML', 3.5], 3.5], ['ML 4.8', ['ML', 4.8], 4.8], ['ML 6.0', ['ML', 6.0], 6.0], ['ML 6.1', ['ML', 6.1], None], ['Md 3.0', ['Md', 3.0], None], ['ml 4.0', ['ml', 4.0], None]], [['mb 3.4', ['mb', 3.4], None], ['mb 3.5', ['mb', 3.5], 2.9], ['mb 5.0', ['mb', 5.0], 5.2], ['mb 6.2', ['mb', 6.2], 7.0], ['mb 6.3', ['mb', 6.3], None], ['Ms 4.0', ['Ms', 4.0], 4.8], ['Md 3.0', ['Md', 3.0], None], ['ml 4.0', ['ml', 4.0], None]], [['ML 2.0', ['ML', 2.0], 2.2], ['ML 3.4', ['ML', 3.4], 3.3], ['Ms 6.1', ['Ms', 6.1], 6.2], ['Ms 6.2', ['Ms', 6.2], 6.2], ['Ms 8.2', ['Ms', 8.2], 8.2], ['Ms 8.3', ['Ms', 8.3], None], ['Md 3.0', ['Md', 3.0], None], ['ml 4.0', ['ml', 4.0], None]], [['ML 3.4', ['ML', 3.4], 3.3], ['ML 3.5', ['ML', 3.5], 3.5], ['ML 4.8', ['ML', 4.8], 4.8], ['ML 6.0', ['ML', 6.0], 6.0], ['ML 6.1', ['ML', 6.1], None], ['ML 6.9', ['ML', 6.9], None], ['Md 3.0', ['Md', 3.0], None], ['ml 4.0', ['ml', 4.0], None]], [['mb 3.5', ['mb', 3.5], 2.9], ['mb 5.0', ['mb', 5.0], 5.2], ['mb 6.2', ['mb', 6.2], 7.0], ['mb 6.3', ['mb', 6.3], None], ['Ms 4.0', ['Ms', 4.0], 4.8], ['Ms 6.0', ['Ms', 6.0], 6.1], ['Md 3.0', ['Md', 3.0], None], ['ml 4.0', ['ml', 4.0], None]]]\nfor label, args, expected in fixtures[N - 1]:\n    check(label, solve(*args), expected)\nprint(json.dumps({\"observations\": observations, \"passed\": all(x[\"passed\"] for x in observations)}, ensure_ascii=False))\nraise SystemExit(0 if all(x[\"passed\"] for x in observations) else 1)\n"},"fixed":{"sha256":"9c33446a328a462ea1409a230651621d822c5edb2fc04e2efa27beb93b75e0b1","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport math\nN = 1\nobservations = []\ndef solve(mtype, value):\n    if mtype == \"ML\":\n        if value > 6.0:\n            return None\n        x = 0.8 * value + 0.6 if value < 3.5 else value\n    elif mtype == \"mb\":\n        if not (3.5 <= value <= 6.2):\n            return None\n        x = 1.54 * value - 2.54\n    elif mtype == \"Ms\":\n        if value > 8.2:\n            return None\n        x = 0.67 * value + 2.07 if value <= 6.1 else 0.99 * value + 0.08\n    else:\n        return None\n    return math.floor(x * 10 + 0.5) / 10\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['ML 2.0', ['ML', 2.0], 2.2], ['ML 3.4', ['ML', 3.4], 3.3], ['ML 3.5', ['ML', 3.5], 3.5], ['ML 4.8', ['ML', 4.8], 4.8], ['ML 6.0', ['ML', 6.0], 6.0], ['ML 6.1', ['ML', 6.1], None], ['Md 3.0', ['Md', 3.0], None], ['ml 4.0', ['ml', 4.0], None]], [['mb 3.4', ['mb', 3.4], None], ['mb 3.5', ['mb', 3.5], 2.9], ['mb 5.0', ['mb', 5.0], 5.2], ['mb 6.2', ['mb', 6.2], 7.0], ['mb 6.3', ['mb', 6.3], None], ['Ms 4.0', ['Ms', 4.0], 4.8], ['Md 3.0', ['Md', 3.0], None], ['ml 4.0', ['ml', 4.0], None]], [['ML 2.0', ['ML', 2.0], 2.2], ['ML 3.4', ['ML', 3.4], 3.3], ['Ms 6.1', ['Ms', 6.1], 6.2], ['Ms 6.2', ['Ms', 6.2], 6.2], ['Ms 8.2', ['Ms', 8.2], 8.2], ['Ms 8.3', ['Ms', 8.3], None], ['Md 3.0', ['Md', 3.0], None], ['ml 4.0', ['ml', 4.0], None]], [['ML 3.4', ['ML', 3.4], 3.3], ['ML 3.5', ['ML', 3.5], 3.5], ['ML 4.8', ['ML', 4.8], 4.8], ['ML 6.0', ['ML', 6.0], 6.0], ['ML 6.1', ['ML', 6.1], None], ['ML 6.9', ['ML', 6.9], None], ['Md 3.0', ['Md', 3.0], None], ['ml 4.0', ['ml', 4.0], None]], [['mb 3.5', ['mb', 3.5], 2.9], ['mb 5.0', ['mb', 5.0], 5.2], ['mb 6.2', ['mb', 6.2], 7.0], ['mb 6.3', ['mb', 6.3], None], ['Ms 4.0', ['Ms', 4.0], 4.8], ['Ms 6.0', ['Ms', 6.0], 6.1], ['Md 3.0', ['Md', 3.0], None], ['ml 4.0', ['ml', 4.0], None]]]\nfor label, args, expected in fixtures[N - 1]:\n    check(label, solve(*args), expected)\nprint(json.dumps({\"observations\": observations, \"passed\": all(x[\"passed\"] for x in observations)}, ensure_ascii=False))\nraise SystemExit(0 if all(x[\"passed\"] for x in observations) else 1)\n"}},"limitations":"Stipulated deterministic teaching model of a seismological magnitude procedure; constants and tables are fixed by the contract and no claim of agency or standards conformance is made. This reproducer isolates one failure mechanism. Results cover the supplied fixtures. Variants within a family share a test contract and should remain grouped when constructing evaluation splits. Related mechanisms with a shared evaluation_group must also remain together; these controlled models are not independent production incidents.","method":"Deterministic executable model with adversarial boundary fixtures.","provenance":{"created_by":"Failure Map","dependencies":"Python standard library","family":"w2-seismic_magnitude_estimation-magnitude-conversion-unknown-type-handling","generated_at":"2026-09-29T14:48:32.257470+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Homogenised catalogues convert heterogeneous magnitudes to a common Mw.","repair":"Return None for unsupported types.","root_cause":"Unrecognised magnitude types fall through as identity conversions.","sha256":"625a3405bda79fe0b7897b4b93c6ffc0b6c235b0293b2f344cbe8aef8d3aa5e1","title":"Regional conversion to Mw: unknown type handling · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":37.968,"exit_code":1,"observations":[{"actual":2.2,"check":"ML 2.0","expected":2.2,"passed":true},{"actual":3.3,"check":"ML 3.4","expected":3.3,"passed":true},{"actual":3.5,"check":"ML 3.5","expected":3.5,"passed":true},{"actual":4.8,"check":"ML 4.8","expected":4.8,"passed":true},{"actual":6.0,"check":"ML 6.0","expected":6.0,"passed":true},{"actual":null,"check":"ML 6.1","expected":null,"passed":true},{"actual":3.0,"check":"Md 3.0","expected":null,"passed":false},{"actual":4.0,"check":"ml 4.0","expected":null,"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"ML 2.0\", \"actual\": 2.2, \"expected\": 2.2, \"passed\": true}, {\"check\": \"ML 3.4\", \"actual\": 3.3, \"expected\": 3.3, \"passed\": true}, {\"check\": \"ML 3.5\", \"actual\": 3.5, \"expected\": 3.5, \"passed\": true}, {\"check\": \"ML 4.8\", \"actual\": 4.8, \"expected\": 4.8, \"passed\": true}, {\"check\": \"ML 6.0\", \"actual\": 6.0, \"expected\": 6.0, \"passed\": true}, {\"check\": \"ML 6.1\", \"actual\": null, \"expected\": null, \"passed\": true}, {\"check\": \"Md 3.0\", \"actual\": 3.0, \"expected\": null, \"passed\": false}, {\"check\": \"ml 4.0\", \"actual\": 4.0, \"expected\": null, \"passed\": false}], \"passed\": false}\n"},"broken":{"elapsed_ms":38.089,"exit_code":1,"observations":[{"actual":2.2,"check":"ML 2.0","expected":2.2,"passed":true},{"actual":3.3,"check":"ML 3.4","expected":3.3,"passed":true},{"actual":3.5,"check":"ML 3.5","expected":3.5,"passed":true},{"actual":4.8,"check":"ML 4.8","expected":4.8,"passed":true},{"actual":6.0,"check":"ML 6.0","expected":6.0,"passed":true},{"actual":null,"check":"ML 6.1","expected":null,"passed":true},{"actual":3.0,"check":"Md 3.0","expected":null,"passed":false},{"actual":4.0,"check":"ml 4.0","expected":null,"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"ML 2.0\", \"actual\": 2.2, \"expected\": 2.2, \"passed\": true}, {\"check\": \"ML 3.4\", \"actual\": 3.3, \"expected\": 3.3, \"passed\": true}, {\"check\": \"ML 3.5\", \"actual\": 3.5, \"expected\": 3.5, \"passed\": true}, {\"check\": \"ML 4.8\", \"actual\": 4.8, \"expected\": 4.8, \"passed\": true}, {\"check\": \"ML 6.0\", \"actual\": 6.0, \"expected\": 6.0, \"passed\": true}, {\"check\": \"ML 6.1\", \"actual\": null, \"expected\": null, \"passed\": true}, {\"check\": \"Md 3.0\", \"actual\": 3.0, \"expected\": null, \"passed\": false}, {\"check\": \"ml 4.0\", \"actual\": 4.0, \"expected\": null, \"passed\": false}], \"passed\": false}\n"},"fixed":{"elapsed_ms":38.991,"exit_code":0,"observations":[{"actual":2.2,"check":"ML 2.0","expected":2.2,"passed":true},{"actual":3.3,"check":"ML 3.4","expected":3.3,"passed":true},{"actual":3.5,"check":"ML 3.5","expected":3.5,"passed":true},{"actual":4.8,"check":"ML 4.8","expected":4.8,"passed":true},{"actual":6.0,"check":"ML 6.0","expected":6.0,"passed":true},{"actual":null,"check":"ML 6.1","expected":null,"passed":true},{"actual":null,"check":"Md 3.0","expected":null,"passed":true},{"actual":null,"check":"ml 4.0","expected":null,"passed":true}],"passed":true,"stderr":"","stdout":"{\"observations\": [{\"check\": \"ML 2.0\", \"actual\": 2.2, \"expected\": 2.2, \"passed\": true}, {\"check\": \"ML 3.4\", \"actual\": 3.3, \"expected\": 3.3, \"passed\": true}, {\"check\": \"ML 3.5\", \"actual\": 3.5, \"expected\": 3.5, \"passed\": true}, {\"check\": \"ML 4.8\", \"actual\": 4.8, \"expected\": 4.8, \"passed\": true}, {\"check\": \"ML 6.0\", \"actual\": 6.0, \"expected\": 6.0, \"passed\": true}, {\"check\": \"ML 6.1\", \"actual\": null, \"expected\": null, \"passed\": true}, {\"check\": \"Md 3.0\", \"actual\": null, \"expected\": null, \"passed\": true}, {\"check\": \"ml 4.0\", \"actual\": null, \"expected\": null, \"passed\": true}], \"passed\": true}\n"}},"verified":true,"visibility":"public"}