{"abstract":"A big man with 4 offensive and 8 defensive boards misses his double-double.","category":"Fantasy sports scoring","checks":7,"contract":"Score a basketball line in tenths: points 1.0, rebounds (offensive + defensive) 1.2, assists 1.5, steals 3, blocks 3, turnovers -1, threes made 0.5 extra. Count double-digit categories among points, rebounds, assists, steals and blocks; three or more earns only the triple-double bonus, exactly two earns the double-double bonus.","contract_signature":"line, bonus","evaluation_group":"w2-fantasy-sports-scoring-basketball-double-bonus","failed_approach":"Taking the larger of the two splits still undercounts rebounds.","family":"w2-fantasy-sports-scoring-basketball-double-bonus-rebound-composition","id":"FA-85111","implementations":{"attempt":{"sha256":"ef20e5ad898cdfbe48fc12ebdd62d34a4b50d770cd77bb1113e3ef249d3482ce","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(line, bonus):\n    line = dict(line, reb=max(line['oreb'], line['dreb']))\n    w = {'pts': 10, 'reb': 12, 'ast': 15, 'stl': 30, 'blk': 30, 'tov': -10, 'fg3m': 5}\n    score = sum(w[k] * line[k] for k in w)\n    doubles = sum(1 for k in ('pts', 'reb', 'ast', 'stl', 'blk') if line[k] >= 10)\n    if doubles >= 3:\n        score += bonus['td']\n    elif doubles == 2:\n        score += bonus['dd']\n    return score\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: rebound composition',\n   [{'ast': 10, 'blk': 10, 'dreb': 5, 'fg3m': 2, 'oreb': 4, 'pts': 10, 'stl': 2, 'tov': 0},\n    {'dd': 15, 'td': 30}],\n   758),\n  ('partial repair probe: rebound composition',\n   [{'ast': 10, 'blk': 0, 'dreb': 8, 'fg3m': 5, 'oreb': 5, 'pts': 9, 'stl': 2, 'tov': 2},\n    {'dd': 15, 'td': 30}],\n   476),\n  ('second regression',\n   [{'ast': 9, 'blk': 10, 'dreb': 10, 'fg3m': 6, 'oreb': 6, 'pts': 10, 'stl': 1, 'tov': 0},\n    {'dd': 15, 'td': 30}],\n   817),\n  ('normal control 1',\n   [{'ast': 11, 'blk': 0, 'dreb': 5, 'fg3m': 1, 'oreb': 0, 'pts': 23, 'stl': 1, 'tov': 3},\n    {'dd': 15, 'td': 30}],\n   475),\n  ('normal control 2',\n   [{'ast': 9, 'blk': 2, 'dreb': 10, 'fg3m': 4, 'oreb': 0, 'pts': 11, 'stl': 0, 'tov': 2},\n    {'dd': 15, 'td': 30}],\n   440),\n  ('normal control 3',\n   [{'ast': 10, 'blk': 1, 'dreb': 5, 'fg3m': 1, 'oreb': 0, 'pts': 11, 'stl': 0, 'tov': 6},\n    {'dd': 15, 'td': 30}],\n   310),\n  ('normal control 4',\n   [{'ast': 9, 'blk': 10, 'dreb': 8, 'fg3m': 1, 'oreb': 0, 'pts': 10, 'stl': 10, 'tov': 5},\n    {'dd': 15, 'td': 30}],\n   916)],\n [('regression: rebound composition',\n   [{'ast': 10, 'blk': 1, 'dreb': 8, 'fg3m': 2, 'oreb': 4, 'pts': 9, 'stl': 2, 'tov': 4},\n    {'dd': 15, 'td': 30}],\n   459),\n  ('partial repair probe: rebound composition',\n   [{'ast': 11, 'blk': 11, 'dreb': 9, 'fg3m': 1, 'oreb': 3, 'pts': 40, 'stl': 10, 'tov': 5},\n    {'dd': 15, 'td': 30}],\n   1324),\n  ('second regression',\n   [{'ast': 11, 'blk': 2, 'dreb': 8, 'fg3m': 1, 'oreb': 3, 'pts': 10, 'stl': 0, 'tov': 3},\n    {'dd': 15, 'td': 30}],\n   462),\n  ('normal control 1',\n   [{'ast': 8, 'blk': 11, 'dreb': 5, 'fg3m': 2, 'oreb': 0, 'pts': 39, 'stl': 0, 'tov': 3},\n    {'dd': 15, 'td': 30}],\n   895),\n  ('normal control 2',\n   [{'ast': 11, 'blk': 1, 'dreb': 10, 'fg3m': 4, 'oreb': 0, 'pts': 10, 'stl': 2, 'tov': 5},\n    {'dd': 15, 'td': 30}],\n   475),\n  ('normal control 3',\n   [{'ast': 10, 'blk': 0, 'dreb': 9, 'fg3m': 1, 'oreb': 0, 'pts': 10, 'stl': 1, 'tov': 5},\n    {'dd': 15, 'td': 30}],\n   358),\n  ('normal control 4',\n   [{'ast': 9, 'blk': 10, 'dreb': 9, 'fg3m': 3, 'oreb': 0, 'pts': 10, 'stl': 2, 'tov': 4},\n    {'dd': 15, 'td': 30}],\n   693)],\n [('regression: rebound composition',\n   [{'ast': 11, 'blk': 11, 'dreb': 4, 'fg3m': 5, 'oreb': 2, 'pts': 10, 'stl': 3, 'tov': 4},\n    {'dd': 15, 'td': 30}],\n   772),\n  ('partial repair probe: rebound composition',\n   [{'ast': 11, 'blk': 0, 'dreb': 12, 'fg3m': 0, 'oreb': 3, 'pts': 10, 'stl': 3, 'tov': 1},\n    {'dd': 15, 'td': 30}],\n   555),\n  ('second regression',\n   [{'ast': 0, 'blk': 0, 'dreb': 9, 'fg3m': 2, 'oreb': 3, 'pts': 10, 'stl': 1, 'tov': 2},\n    {'dd': 15, 'td': 30}],\n   279),\n  ('normal control 1',\n   [{'ast': 11, 'blk': 0, 'dreb': 5, 'fg3m': 6, 'oreb': 0, 'pts': 11, 'stl': 0, 'tov': 3},\n    {'dd': 15, 'td': 30}],\n   350),\n  ('normal control 2',\n   [{'ast': 10, 'blk': 1, 'dreb': 8, 'fg3m': 4, 'oreb': 0, 'pts': 11, 'stl': 0, 'tov': 0},\n    {'dd': 15, 'td': 30}],\n   421),\n  ('normal control 3',\n   [{'ast': 9, 'blk': 10, 'dreb': 4, 'fg3m': 1, 'oreb': 0, 'pts': 11, 'stl': 2, 'tov': 3},\n    {'dd': 15, 'td': 30}],\n   643),\n  ('normal control 4',\n   [{'ast': 10, 'blk': 0, 'dreb': 12, 'fg3m': 0, 'oreb': 0, 'pts': 26, 'stl': 1, 'tov': 3},\n    {'dd': 15, 'td': 30}],\n   584)],\n [('regression: rebound composition',\n   [{'ast': 10, 'blk': 11, 'dreb': 5, 'fg3m': 1, 'oreb': 3, 'pts': 10, 'stl': 1, 'tov': 2},\n    {'dd': 15, 'td': 30}],\n   721),\n  ('partial repair probe: rebound composition',\n   [{'ast': 10, 'blk': 10, 'dreb': 4, 'fg3m': 3, 'oreb': 1, 'pts': 10, 'stl': 10, 'tov': 0},\n    {'dd': 15, 'td': 30}],\n   955),\n  ('second regression',\n   [{'ast': 13, 'blk': 11, 'dreb': 10, 'fg3m': 1, 'oreb': 6, 'pts': 11, 'stl': 2, 'tov': 5},\n    {'dd': 15, 'td': 30}],\n   872),\n  ('normal control 1',\n   [{'ast': 10, 'blk': 2, 'dreb': 5, 'fg3m': 0, 'oreb': 0, 'pts': 9, 'stl': 2, 'tov': 1},\n    {'dd': 15, 'td': 30}],\n   410),\n  ('normal control 2',\n   [{'ast': 1, 'blk': 10, 'dreb': 5, 'fg3m': 0, 'oreb': 0, 'pts': 12, 'stl': 1, 'tov': 6},\n    {'dd': 15, 'td': 30}],\n   480),\n  ('normal control 3',\n   [{'ast': 9, 'blk': 10, 'dreb': 5, 'fg3m': 4, 'oreb': 0, 'pts': 9, 'stl': 2, 'tov': 2},\n    {'dd': 15, 'td': 30}],\n   645),\n  ('normal control 4',\n   [{'ast': 5, 'blk': 11, 'dreb': 8, 'fg3m': 0, 'oreb': 0, 'pts': 9, 'stl': 10, 'tov': 4},\n    {'dd': 15, 'td': 30}],\n   866)],\n [('regression: rebound composition',\n   [{'ast': 6, 'blk': 11, 'dreb': 4, 'fg3m': 1, 'oreb': 3, 'pts': 11, 'stl': 0, 'tov': 2},\n    {'dd': 15, 'td': 30}],\n   614),\n  ('partial repair probe: rebound composition',\n   [{'ast': 10, 'blk': 11, 'dreb': 8, 'fg3m': 3, 'oreb': 6, 'pts': 9, 'stl': 1, 'tov': 2},\n    {'dd': 15, 'td': 30}],\n   793),\n  ('second regression',\n   [{'ast': 10, 'blk': 10, 'dreb': 9, 'fg3m': 1, 'oreb': 5, 'pts': 9, 'stl': 0, 'tov': 4},\n    {'dd': 15, 'td': 30}],\n   703),\n  ('normal control 1',\n   [{'ast': 11, 'blk': 1, 'dreb': 12, 'fg3m': 6, 'oreb': 0, 'pts': 10, 'stl': 10, 'tov': 1},\n    {'dd': 15, 'td': 30}],\n   789),\n  ('normal control 2',\n   [{'ast': 8, 'blk': 1, 'dreb': 10, 'fg3m': 6, 'oreb': 0, 'pts': 10, 'stl': 2, 'tov': 3},\n    {'dd': 15, 'td': 30}],\n   445),\n  ('normal control 3',\n   [{'ast': 9, 'blk': 11, 'dreb': 4, 'fg3m': 6, 'oreb': 0, 'pts': 8, 'stl': 0, 'tov': 0},\n    {'dd': 15, 'td': 30}],\n   623),\n  ('normal control 4',\n   [{'ast': 6, 'blk': 0, 'dreb': 10, 'fg3m': 1, 'oreb': 0, 'pts': 10, 'stl': 3, 'tov': 1},\n    {'dd': 15, 'td': 30}],\n   410)]]\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":"679c0bc44f67b5c536e99f05c00986a2898f1aff4c938399989a99c53472ee1e","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(line, bonus):\n    line = dict(line, reb=line['dreb'])\n    w = {'pts': 10, 'reb': 12, 'ast': 15, 'stl': 30, 'blk': 30, 'tov': -10, 'fg3m': 5}\n    score = sum(w[k] * line[k] for k in w)\n    doubles = sum(1 for k in ('pts', 'reb', 'ast', 'stl', 'blk') if line[k] >= 10)\n    if doubles >= 3:\n        score += bonus['td']\n    elif doubles == 2:\n        score += bonus['dd']\n    return score\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: rebound composition',\n   [{'ast': 10, 'blk': 10, 'dreb': 5, 'fg3m': 2, 'oreb': 4, 'pts': 10, 'stl': 2, 'tov': 0},\n    {'dd': 15, 'td': 30}],\n   758),\n  ('partial repair probe: rebound composition',\n   [{'ast': 10, 'blk': 0, 'dreb': 8, 'fg3m': 5, 'oreb': 5, 'pts': 9, 'stl': 2, 'tov': 2},\n    {'dd': 15, 'td': 30}],\n   476),\n  ('second regression',\n   [{'ast': 9, 'blk': 10, 'dreb': 10, 'fg3m': 6, 'oreb': 6, 'pts': 10, 'stl': 1, 'tov': 0},\n    {'dd': 15, 'td': 30}],\n   817),\n  ('normal control 1',\n   [{'ast': 11, 'blk': 0, 'dreb': 5, 'fg3m': 1, 'oreb': 0, 'pts': 23, 'stl': 1, 'tov': 3},\n    {'dd': 15, 'td': 30}],\n   475),\n  ('normal control 2',\n   [{'ast': 9, 'blk': 2, 'dreb': 10, 'fg3m': 4, 'oreb': 0, 'pts': 11, 'stl': 0, 'tov': 2},\n    {'dd': 15, 'td': 30}],\n   440),\n  ('normal control 3',\n   [{'ast': 10, 'blk': 1, 'dreb': 5, 'fg3m': 1, 'oreb': 0, 'pts': 11, 'stl': 0, 'tov': 6},\n    {'dd': 15, 'td': 30}],\n   310),\n  ('normal control 4',\n   [{'ast': 9, 'blk': 10, 'dreb': 8, 'fg3m': 1, 'oreb': 0, 'pts': 10, 'stl': 10, 'tov': 5},\n    {'dd': 15, 'td': 30}],\n   916)],\n [('regression: rebound composition',\n   [{'ast': 10, 'blk': 1, 'dreb': 8, 'fg3m': 2, 'oreb': 4, 'pts': 9, 'stl': 2, 'tov': 4},\n    {'dd': 15, 'td': 30}],\n   459),\n  ('partial repair probe: rebound composition',\n   [{'ast': 11, 'blk': 11, 'dreb': 9, 'fg3m': 1, 'oreb': 3, 'pts': 40, 'stl': 10, 'tov': 5},\n    {'dd': 15, 'td': 30}],\n   1324),\n  ('second regression',\n   [{'ast': 11, 'blk': 2, 'dreb': 8, 'fg3m': 1, 'oreb': 3, 'pts': 10, 'stl': 0, 'tov': 3},\n    {'dd': 15, 'td': 30}],\n   462),\n  ('normal control 1',\n   [{'ast': 8, 'blk': 11, 'dreb': 5, 'fg3m': 2, 'oreb': 0, 'pts': 39, 'stl': 0, 'tov': 3},\n    {'dd': 15, 'td': 30}],\n   895),\n  ('normal control 2',\n   [{'ast': 11, 'blk': 1, 'dreb': 10, 'fg3m': 4, 'oreb': 0, 'pts': 10, 'stl': 2, 'tov': 5},\n    {'dd': 15, 'td': 30}],\n   475),\n  ('normal control 3',\n   [{'ast': 10, 'blk': 0, 'dreb': 9, 'fg3m': 1, 'oreb': 0, 'pts': 10, 'stl': 1, 'tov': 5},\n    {'dd': 15, 'td': 30}],\n   358),\n  ('normal control 4',\n   [{'ast': 9, 'blk': 10, 'dreb': 9, 'fg3m': 3, 'oreb': 0, 'pts': 10, 'stl': 2, 'tov': 4},\n    {'dd': 15, 'td': 30}],\n   693)],\n [('regression: rebound composition',\n   [{'ast': 11, 'blk': 11, 'dreb': 4, 'fg3m': 5, 'oreb': 2, 'pts': 10, 'stl': 3, 'tov': 4},\n    {'dd': 15, 'td': 30}],\n   772),\n  ('partial repair probe: rebound composition',\n   [{'ast': 11, 'blk': 0, 'dreb': 12, 'fg3m': 0, 'oreb': 3, 'pts': 10, 'stl': 3, 'tov': 1},\n    {'dd': 15, 'td': 30}],\n   555),\n  ('second regression',\n   [{'ast': 0, 'blk': 0, 'dreb': 9, 'fg3m': 2, 'oreb': 3, 'pts': 10, 'stl': 1, 'tov': 2},\n    {'dd': 15, 'td': 30}],\n   279),\n  ('normal control 1',\n   [{'ast': 11, 'blk': 0, 'dreb': 5, 'fg3m': 6, 'oreb': 0, 'pts': 11, 'stl': 0, 'tov': 3},\n    {'dd': 15, 'td': 30}],\n   350),\n  ('normal control 2',\n   [{'ast': 10, 'blk': 1, 'dreb': 8, 'fg3m': 4, 'oreb': 0, 'pts': 11, 'stl': 0, 'tov': 0},\n    {'dd': 15, 'td': 30}],\n   421),\n  ('normal control 3',\n   [{'ast': 9, 'blk': 10, 'dreb': 4, 'fg3m': 1, 'oreb': 0, 'pts': 11, 'stl': 2, 'tov': 3},\n    {'dd': 15, 'td': 30}],\n   643),\n  ('normal control 4',\n   [{'ast': 10, 'blk': 0, 'dreb': 12, 'fg3m': 0, 'oreb': 0, 'pts': 26, 'stl': 1, 'tov': 3},\n    {'dd': 15, 'td': 30}],\n   584)],\n [('regression: rebound composition',\n   [{'ast': 10, 'blk': 11, 'dreb': 5, 'fg3m': 1, 'oreb': 3, 'pts': 10, 'stl': 1, 'tov': 2},\n    {'dd': 15, 'td': 30}],\n   721),\n  ('partial repair probe: rebound composition',\n   [{'ast': 10, 'blk': 10, 'dreb': 4, 'fg3m': 3, 'oreb': 1, 'pts': 10, 'stl': 10, 'tov': 0},\n    {'dd': 15, 'td': 30}],\n   955),\n  ('second regression',\n   [{'ast': 13, 'blk': 11, 'dreb': 10, 'fg3m': 1, 'oreb': 6, 'pts': 11, 'stl': 2, 'tov': 5},\n    {'dd': 15, 'td': 30}],\n   872),\n  ('normal control 1',\n   [{'ast': 10, 'blk': 2, 'dreb': 5, 'fg3m': 0, 'oreb': 0, 'pts': 9, 'stl': 2, 'tov': 1},\n    {'dd': 15, 'td': 30}],\n   410),\n  ('normal control 2',\n   [{'ast': 1, 'blk': 10, 'dreb': 5, 'fg3m': 0, 'oreb': 0, 'pts': 12, 'stl': 1, 'tov': 6},\n    {'dd': 15, 'td': 30}],\n   480),\n  ('normal control 3',\n   [{'ast': 9, 'blk': 10, 'dreb': 5, 'fg3m': 4, 'oreb': 0, 'pts': 9, 'stl': 2, 'tov': 2},\n    {'dd': 15, 'td': 30}],\n   645),\n  ('normal control 4',\n   [{'ast': 5, 'blk': 11, 'dreb': 8, 'fg3m': 0, 'oreb': 0, 'pts': 9, 'stl': 10, 'tov': 4},\n    {'dd': 15, 'td': 30}],\n   866)],\n [('regression: rebound composition',\n   [{'ast': 6, 'blk': 11, 'dreb': 4, 'fg3m': 1, 'oreb': 3, 'pts': 11, 'stl': 0, 'tov': 2},\n    {'dd': 15, 'td': 30}],\n   614),\n  ('partial repair probe: rebound composition',\n   [{'ast': 10, 'blk': 11, 'dreb': 8, 'fg3m': 3, 'oreb': 6, 'pts': 9, 'stl': 1, 'tov': 2},\n    {'dd': 15, 'td': 30}],\n   793),\n  ('second regression',\n   [{'ast': 10, 'blk': 10, 'dreb': 9, 'fg3m': 1, 'oreb': 5, 'pts': 9, 'stl': 0, 'tov': 4},\n    {'dd': 15, 'td': 30}],\n   703),\n  ('normal control 1',\n   [{'ast': 11, 'blk': 1, 'dreb': 12, 'fg3m': 6, 'oreb': 0, 'pts': 10, 'stl': 10, 'tov': 1},\n    {'dd': 15, 'td': 30}],\n   789),\n  ('normal control 2',\n   [{'ast': 8, 'blk': 1, 'dreb': 10, 'fg3m': 6, 'oreb': 0, 'pts': 10, 'stl': 2, 'tov': 3},\n    {'dd': 15, 'td': 30}],\n   445),\n  ('normal control 3',\n   [{'ast': 9, 'blk': 11, 'dreb': 4, 'fg3m': 6, 'oreb': 0, 'pts': 8, 'stl': 0, 'tov': 0},\n    {'dd': 15, 'td': 30}],\n   623),\n  ('normal control 4',\n   [{'ast': 6, 'blk': 0, 'dreb': 10, 'fg3m': 1, 'oreb': 0, 'pts': 10, 'stl': 3, 'tov': 1},\n    {'dd': 15, 'td': 30}],\n   410)]]\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":"A deterministic toy scoring contract stipulated for this example; it is not the rulebook of any real fantasy platform. 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-fantasy-sports-scoring-basketball-double-bonus-rebound-composition","generated_at":"2026-09-29T14:50:37.309629+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Double-double and triple-double bonuses are exclusive tiers in points leagues and are frequently double-awarded.","root_cause":"Total rebounds use only the defensive rebound field.","sha256":"a4afffb302cdcff5db71816d2cd3d7dd86f8702c30f9197bcf6916d6c45e89d7","title":"Offensive rebounds missing from total rebounds · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verified":true,"visibility":"public","verification":{"attempt":{"elapsed_ms":40.91,"exit_code":1,"observations":[{"actual":710,"check":"regression: rebound composition","expected":758,"passed":false},{"actual":401,"check":"partial repair probe: rebound composition","expected":476,"passed":false},{"actual":745,"check":"second regression","expected":817,"passed":false},{"actual":475,"check":"normal control 1","expected":475,"passed":true},{"actual":440,"check":"normal control 2","expected":440,"passed":true},{"actual":310,"check":"normal control 3","expected":310,"passed":true},{"actual":916,"check":"normal control 4","expected":916,"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: rebound composition\", \"actual\": 710, \"expected\": 758, \"passed\": false}, {\"check\": \"partial repair probe: rebound composition\", \"actual\": 401, \"expected\": 476, \"passed\": false}, {\"check\": \"second regression\", \"actual\": 745, \"expected\": 817, \"passed\": false}, {\"check\": \"normal control 1\", \"actual\": 475, \"expected\": 475, \"passed\": true}, {\"check\": \"normal control 2\", \"actual\": 440, \"expected\": 440, \"passed\": true}, {\"check\": \"normal control 3\", \"actual\": 310, \"expected\": 310, \"passed\": true}, {\"check\": \"normal control 4\", \"actual\": 916, \"expected\": 916, \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":38.451,"exit_code":1,"observations":[{"actual":710,"check":"regression: rebound composition","expected":758,"passed":false},{"actual":401,"check":"partial repair probe: rebound composition","expected":476,"passed":false},{"actual":745,"check":"second regression","expected":817,"passed":false},{"actual":475,"check":"normal control 1","expected":475,"passed":true},{"actual":440,"check":"normal control 2","expected":440,"passed":true},{"actual":310,"check":"normal control 3","expected":310,"passed":true},{"actual":916,"check":"normal control 4","expected":916,"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: rebound composition\", \"actual\": 710, \"expected\": 758, \"passed\": false}, {\"check\": \"partial repair probe: rebound composition\", \"actual\": 401, \"expected\": 476, \"passed\": false}, {\"check\": \"second regression\", \"actual\": 745, \"expected\": 817, \"passed\": false}, {\"check\": \"normal control 1\", \"actual\": 475, \"expected\": 475, \"passed\": true}, {\"check\": \"normal control 2\", \"actual\": 440, \"expected\": 440, \"passed\": true}, {\"check\": \"normal control 3\", \"actual\": 310, \"expected\": 310, \"passed\": true}, {\"check\": \"normal control 4\", \"actual\": 916, \"expected\": 916, \"passed\": true}], \"passed\": false}\n"}},"member_only":{"stages":["fixed"],"fields":["implementations.fixed","verification.fixed","harness","repair"],"note":"The verified repair, its recorded checks, the repair description, and the scoring harness are available to members."}}