{"abstract":"Prismatic rather than pyramidal volume is returned.","category":"Solid geometry","checks":4,"contract":"Nonnegative integer dimensions; exact products and ordinary Python real division. Quantities named divided by pi or pi-squared deliberately omit that factor from the returned result. Pyramid volume. Exact operational definition: base_area*h/3","evaluation_group":"model-84094fe4e62fdcfd","failed_approach":"A triangle area factor replaces the three-dimensional one-third factor.","family":"xn-pyramid-volume","id":"FA-5956","implementations":{"attempt":{"sha256":"0a3d337b60c114f44a9f5050dc3f59f8312fda9da8eb8f6cefc4e075b704893f","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport math\nimport calendar\nimport statistics\nimport itertools\nfrom fractions import Fraction\nfrom datetime import date, datetime, timedelta, timezone\nfrom decimal import Decimal, ROUND_HALF_UP, ROUND_DOWN, ROUND_CEILING, ROUND_FLOOR\n\nN = 1\nobservations = []\ndef solve(base_area, h):\n    return base_area*h/2\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\ncheck('fixture 1: (12, 3)', solve(*(12, 3)), 12)\ncheck('fixture 2: (4, 6)', solve(*(4, 6)), 8)\ncheck('fixture 3: (0, 5)', solve(*(0, 5)), 0)\ncheck('fixture 4: (7, 0)', solve(*(7, 0)), 0)\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":"a7cebce1d7d7428f08c09cf8f29b9f2f80c3e9b12290e78f97dfa839548093e6","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport math\nimport calendar\nimport statistics\nimport itertools\nfrom fractions import Fraction\nfrom datetime import date, datetime, timedelta, timezone\nfrom decimal import Decimal, ROUND_HALF_UP, ROUND_DOWN, ROUND_CEILING, ROUND_FLOOR\n\nN = 1\nobservations = []\ndef solve(base_area, h):\n    return base_area*h\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\ncheck('fixture 1: (12, 3)', solve(*(12, 3)), 12)\ncheck('fixture 2: (4, 6)', solve(*(4, 6)), 8)\ncheck('fixture 3: (0, 5)', solve(*(0, 5)), 0)\ncheck('fixture 4: (7, 0)', solve(*(7, 0)), 0)\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":"9f08d5345413c7f0407c8daf844a7b68cf7b994b09eb2752f6891942e3ce52dd","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport math\nimport calendar\nimport statistics\nimport itertools\nfrom fractions import Fraction\nfrom datetime import date, datetime, timedelta, timezone\nfrom decimal import Decimal, ROUND_HALF_UP, ROUND_DOWN, ROUND_CEILING, ROUND_FLOOR\n\nN = 1\nobservations = []\ndef solve(base_area, h):\n    return base_area*h/3\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\ncheck('fixture 1: (12, 3)', solve(*(12, 3)), 12)\ncheck('fixture 2: (4, 6)', solve(*(4, 6)), 8)\ncheck('fixture 3: (0, 5)', solve(*(0, 5)), 0)\ncheck('fixture 4: (7, 0)', solve(*(7, 0)), 0)\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":" 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":"xn-pyramid-volume","generated_at":"2026-09-29T14:37:55.729544+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Small exact fixtures expose this error without platform timing, external services, or probabilistic observations. Solid geometry results depend on the stated convention.","repair":"Apply the specified mathematical contract directly, preserving all terms and boundary cases: return base_area*h/3","root_cause":"Prismatic rather than pyramidal volume is returned.","sha256":"288b1216dac67ad11ac755566460b35343e9048a52720926139b59d4c814ba0d","title":"Pyramid volume · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":47.468,"exit_code":1,"observations":[{"actual":18.0,"check":"fixture 1: (12, 3)","expected":12,"passed":false},{"actual":12.0,"check":"fixture 2: (4, 6)","expected":8,"passed":false},{"actual":0.0,"check":"fixture 3: (0, 5)","expected":0,"passed":true},{"actual":0.0,"check":"fixture 4: (7, 0)","expected":0,"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"fixture 1: (12, 3)\", \"actual\": 18.0, \"expected\": 12, \"passed\": false}, {\"check\": \"fixture 2: (4, 6)\", \"actual\": 12.0, \"expected\": 8, \"passed\": false}, {\"check\": \"fixture 3: (0, 5)\", \"actual\": 0.0, \"expected\": 0, \"passed\": true}, {\"check\": \"fixture 4: (7, 0)\", \"actual\": 0.0, \"expected\": 0, \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":47.775,"exit_code":1,"observations":[{"actual":36,"check":"fixture 1: (12, 3)","expected":12,"passed":false},{"actual":24,"check":"fixture 2: (4, 6)","expected":8,"passed":false},{"actual":0,"check":"fixture 3: (0, 5)","expected":0,"passed":true},{"actual":0,"check":"fixture 4: (7, 0)","expected":0,"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"fixture 1: (12, 3)\", \"actual\": 36, \"expected\": 12, \"passed\": false}, {\"check\": \"fixture 2: (4, 6)\", \"actual\": 24, \"expected\": 8, \"passed\": false}, {\"check\": \"fixture 3: (0, 5)\", \"actual\": 0, \"expected\": 0, \"passed\": true}, {\"check\": \"fixture 4: (7, 0)\", \"actual\": 0, \"expected\": 0, \"passed\": true}], \"passed\": false}\n"},"fixed":{"elapsed_ms":51.755,"exit_code":0,"observations":[{"actual":12.0,"check":"fixture 1: (12, 3)","expected":12,"passed":true},{"actual":8.0,"check":"fixture 2: (4, 6)","expected":8,"passed":true},{"actual":0.0,"check":"fixture 3: (0, 5)","expected":0,"passed":true},{"actual":0.0,"check":"fixture 4: (7, 0)","expected":0,"passed":true}],"passed":true,"stderr":"","stdout":"{\"observations\": [{\"check\": \"fixture 1: (12, 3)\", \"actual\": 12.0, \"expected\": 12, \"passed\": true}, {\"check\": \"fixture 2: (4, 6)\", \"actual\": 8.0, \"expected\": 8, \"passed\": true}, {\"check\": \"fixture 3: (0, 5)\", \"actual\": 0.0, \"expected\": 0, \"passed\": true}, {\"check\": \"fixture 4: (7, 0)\", \"actual\": 0.0, \"expected\": 0, \"passed\": true}], \"passed\": true}\n"}},"verified":true,"visibility":"public"}