{"abstract":"An 80-yard touchdown earns the 40-yard bonus.","category":"Fantasy sports scoring","checks":7,"contract":"Per-play bonus tenths for one player: a touchdown of 50+ yards earns 3, a touchdown of 40-49 yards earns 2 (exclusive tiers); every rushing or receiving play (not passing) of 20+ yards earns 0.5 whether or not it scored; three or more touchdowns in the game earn 2 once.","contract_signature":"plays","evaluation_group":"w2-fantasy-sports-scoring-long-play-bonus","failed_approach":"Adding the difference only above 50 misses touchdowns of exactly 50 yards.","family":"w2-fantasy-sports-scoring-long-play-bonus-tier-check-order","id":"FA-85321","implementations":{"attempt":{"sha256":"b3c5faf1959685cd0696b6e7275723d46a5070fb89dc5df72d469be3e3050508","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(plays):\n    bonus = 0\n    for kind, yards, td in plays:\n        if td and yards >= 40:\n            bonus += 20 + (10 if yards > 50 else 0)\n        if kind != 'pass' and yards >= 20:\n            bonus += 5\n    tds = sum(1 for _, _, td in plays if td)\n    if tds >= 3:\n        bonus += 20\n    return bonus\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: tier check order', [[['pass', 5, False], ['rush', 50, True], ['rush', 19, False]]], 35),\n  ('partial repair probe: tier check order',\n   [[['rec', -3, True], ['pass', 19, False], ['rec', 3, False], ['rush', 5, True], ['pass', 50, True]]], 50),\n  ('second regression', [[['rec', 50, True], ['rec', 40, False], ['rec', 39, True]]], 45),\n  ('normal control 1', [[['rec', 19, False], ['pass', 40, True]]], 20),\n  ('normal control 2', [[['rec', 50, False], ['rec', 5, True], ['rec', 40, False]]], 10),\n  ('normal control 3',\n   [[['rec', 49, False], ['rush', 49, False], ['pass', 40, False], ['rec', 39, True], ['rec', 19, False],\n     ['rush', 5, True]]],\n   15),\n  ('normal control 4', [[['rec', 19, True]]], 0)],\n [('regression: tier check order',\n   [[['rec', 5, False], ['pass', 19, True], ['pass', 50, True], ['rush', 50, False]]], 35),\n  ('partial repair probe: tier check order',\n   [[['rush', 20, True], ['rec', 50, True], ['pass', 39, False], ['pass', 51, False]]], 40),\n  ('second regression', [[['rush', 19, False], ['rush', 50, False], ['pass', 20, True], ['rush', 51, True]]],\n   40),\n  ('normal control 1', [[['rush', 39, True], ['rec', 40, False], ['pass', 39, True], ['rush', 9, False]]],\n   10),\n  ('normal control 2', [[['rush', 39, True], ['pass', 40, False]]], 5),\n  ('normal control 3', [[['rec', 20, False], ['rush', -3, False], ['rec', -3, True], ['pass', -3, False]]],\n   5),\n  ('normal control 4', [[['rush', 50, False], ['pass', 49, False], ['rush', 20, True], ['pass', -3, False]]],\n   10)],\n [('regression: tier check order', [[['pass', 49, False], ['pass', 51, True]]], 30),\n  ('partial repair probe: tier check order', [[['rec', 50, True], ['rec', 50, True], ['rush', 20, True]]],\n   95),\n  ('second regression',\n   [[['rec', 5, True], ['rush', 19, False], ['pass', 41, False], ['rush', 51, True], ['rec', 20, True]]],\n   60),\n  ('normal control 1',\n   [[['rush', 19, True], ['pass', 51, False], ['pass', 39, False], ['pass', 51, False], ['pass', 49, True]]],\n   20),\n  ('normal control 2',\n   [[['pass', 39, False], ['rec', 50, False], ['rec', 50, False], ['rush', 3, True], ['rush', 19, False],\n     ['rec', 5, True]]],\n   10),\n  ('normal control 3', [[['pass', 20, False]]], 0),\n  ('normal control 4',\n   [[['pass', 39, False], ['rec', 20, True], ['pass', 40, False], ['pass', 41, False], ['pass', 39, False]]],\n   5)],\n [('regression: tier check order',\n   [[['pass', 50, True], ['pass', 40, True], ['rush', 49, False], ['pass', 43, True]]], 95),\n  ('partial repair probe: tier check order', [[['rush', 39, True], ['pass', 50, True], ['pass', 5, False]]],\n   35),\n  ('second regression', [[['pass', 50, True]]], 30),\n  ('normal control 1', [[['pass', 20, True], ['rush', 40, False], ['rush', 39, False], ['pass', 49, True]]],\n   30),\n  ('normal control 2',\n   [[['rush', 39, False], ['rec', 49, False], ['pass', 61, False], ['pass', -3, False], ['rush', 19, True],\n     ['rec', 5, False]]],\n   10),\n  ('normal control 3', [[['rec', 5, False], ['pass', -5, True]]], 0),\n  ('normal control 4', [[['rush', 53, False], ['pass', 39, False]]], 5)],\n [('regression: tier check order',\n   [[['rush', 50, True], ['rush', 20, True], ['pass', 49, False], ['rec', -3, False]]], 40),\n  ('partial repair probe: tier check order',\n   [[['rec', 49, False], ['rush', 51, False], ['rush', 51, True], ['rec', 5, True], ['rec', 50, True]]],\n   100),\n  ('second regression',\n   [[['rush', 51, True], ['rec', 55, False], ['rec', 41, True], ['pass', 39, False], ['pass', 5, False]]],\n   65),\n  ('normal control 1',\n   [[['pass', 41, False], ['rush', 40, False], ['rec', 5, False], ['rush', 49, True], ['pass', 49, False]]],\n   30),\n  ('normal control 2', [[['pass', 51, False], ['pass', -3, False]]], 0),\n  ('normal control 3', [[['rec', 19, False]]], 0),\n  ('normal control 4', [[['rush', 49, False], ['rush', 20, True], ['rush', 49, False], ['rush', 40, False]]],\n   20)]]\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":"dc60fb3f002a45a351ae8fa1b7aa5c5caf3c5ea46af4d392321cc684af09f067","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(plays):\n    bonus = 0\n    for kind, yards, td in plays:\n        if td and yards >= 40:\n            bonus += 20\n        elif td and yards >= 50:\n            bonus += 30\n        if kind != 'pass' and yards >= 20:\n            bonus += 5\n    tds = sum(1 for _, _, td in plays if td)\n    if tds >= 3:\n        bonus += 20\n    return bonus\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: tier check order', [[['pass', 5, False], ['rush', 50, True], ['rush', 19, False]]], 35),\n  ('partial repair probe: tier check order',\n   [[['rec', -3, True], ['pass', 19, False], ['rec', 3, False], ['rush', 5, True], ['pass', 50, True]]], 50),\n  ('second regression', [[['rec', 50, True], ['rec', 40, False], ['rec', 39, True]]], 45),\n  ('normal control 1', [[['rec', 19, False], ['pass', 40, True]]], 20),\n  ('normal control 2', [[['rec', 50, False], ['rec', 5, True], ['rec', 40, False]]], 10),\n  ('normal control 3',\n   [[['rec', 49, False], ['rush', 49, False], ['pass', 40, False], ['rec', 39, True], ['rec', 19, False],\n     ['rush', 5, True]]],\n   15),\n  ('normal control 4', [[['rec', 19, True]]], 0)],\n [('regression: tier check order',\n   [[['rec', 5, False], ['pass', 19, True], ['pass', 50, True], ['rush', 50, False]]], 35),\n  ('partial repair probe: tier check order',\n   [[['rush', 20, True], ['rec', 50, True], ['pass', 39, False], ['pass', 51, False]]], 40),\n  ('second regression', [[['rush', 19, False], ['rush', 50, False], ['pass', 20, True], ['rush', 51, True]]],\n   40),\n  ('normal control 1', [[['rush', 39, True], ['rec', 40, False], ['pass', 39, True], ['rush', 9, False]]],\n   10),\n  ('normal control 2', [[['rush', 39, True], ['pass', 40, False]]], 5),\n  ('normal control 3', [[['rec', 20, False], ['rush', -3, False], ['rec', -3, True], ['pass', -3, False]]],\n   5),\n  ('normal control 4', [[['rush', 50, False], ['pass', 49, False], ['rush', 20, True], ['pass', -3, False]]],\n   10)],\n [('regression: tier check order', [[['pass', 49, False], ['pass', 51, True]]], 30),\n  ('partial repair probe: tier check order', [[['rec', 50, True], ['rec', 50, True], ['rush', 20, True]]],\n   95),\n  ('second regression',\n   [[['rec', 5, True], ['rush', 19, False], ['pass', 41, False], ['rush', 51, True], ['rec', 20, True]]],\n   60),\n  ('normal control 1',\n   [[['rush', 19, True], ['pass', 51, False], ['pass', 39, False], ['pass', 51, False], ['pass', 49, True]]],\n   20),\n  ('normal control 2',\n   [[['pass', 39, False], ['rec', 50, False], ['rec', 50, False], ['rush', 3, True], ['rush', 19, False],\n     ['rec', 5, True]]],\n   10),\n  ('normal control 3', [[['pass', 20, False]]], 0),\n  ('normal control 4',\n   [[['pass', 39, False], ['rec', 20, True], ['pass', 40, False], ['pass', 41, False], ['pass', 39, False]]],\n   5)],\n [('regression: tier check order',\n   [[['pass', 50, True], ['pass', 40, True], ['rush', 49, False], ['pass', 43, True]]], 95),\n  ('partial repair probe: tier check order', [[['rush', 39, True], ['pass', 50, True], ['pass', 5, False]]],\n   35),\n  ('second regression', [[['pass', 50, True]]], 30),\n  ('normal control 1', [[['pass', 20, True], ['rush', 40, False], ['rush', 39, False], ['pass', 49, True]]],\n   30),\n  ('normal control 2',\n   [[['rush', 39, False], ['rec', 49, False], ['pass', 61, False], ['pass', -3, False], ['rush', 19, True],\n     ['rec', 5, False]]],\n   10),\n  ('normal control 3', [[['rec', 5, False], ['pass', -5, True]]], 0),\n  ('normal control 4', [[['rush', 53, False], ['pass', 39, False]]], 5)],\n [('regression: tier check order',\n   [[['rush', 50, True], ['rush', 20, True], ['pass', 49, False], ['rec', -3, False]]], 40),\n  ('partial repair probe: tier check order',\n   [[['rec', 49, False], ['rush', 51, False], ['rush', 51, True], ['rec', 5, True], ['rec', 50, True]]],\n   100),\n  ('second regression',\n   [[['rush', 51, True], ['rec', 55, False], ['rec', 41, True], ['pass', 39, False], ['pass', 5, False]]],\n   65),\n  ('normal control 1',\n   [[['pass', 41, False], ['rush', 40, False], ['rec', 5, False], ['rush', 49, True], ['pass', 49, False]]],\n   30),\n  ('normal control 2', [[['pass', 51, False], ['pass', -3, False]]], 0),\n  ('normal control 3', [[['rec', 19, False]]], 0),\n  ('normal control 4', [[['rush', 49, False], ['rush', 20, True], ['rush', 49, False], ['rush', 40, False]]],\n   20)]]\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-long-play-bonus-tier-check-order","generated_at":"2026-09-29T14:50:39.257485+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Long-play bonuses are layered rules where tier order and play-type filters are easy to get wrong.","root_cause":"The 40+ tier is tested first, shadowing the 50+ tier.","sha256":"08bd07a5a813983310c9e0cb47a13cb1f5d846bba700f8fd9b889350f59e2e4b","title":"50-yard touchdown tier unreachable · 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":37.958,"exit_code":1,"observations":[{"actual":25,"check":"regression: tier check order","expected":35,"passed":false},{"actual":40,"check":"partial repair probe: tier check order","expected":50,"passed":false},{"actual":35,"check":"second regression","expected":45,"passed":false},{"actual":20,"check":"normal control 1","expected":20,"passed":true},{"actual":10,"check":"normal control 2","expected":10,"passed":true},{"actual":15,"check":"normal control 3","expected":15,"passed":true},{"actual":0,"check":"normal control 4","expected":0,"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: tier check order\", \"actual\": 25, \"expected\": 35, \"passed\": false}, {\"check\": \"partial repair probe: tier check order\", \"actual\": 40, \"expected\": 50, \"passed\": false}, {\"check\": \"second regression\", \"actual\": 35, \"expected\": 45, \"passed\": false}, {\"check\": \"normal control 1\", \"actual\": 20, \"expected\": 20, \"passed\": true}, {\"check\": \"normal control 2\", \"actual\": 10, \"expected\": 10, \"passed\": true}, {\"check\": \"normal control 3\", \"actual\": 15, \"expected\": 15, \"passed\": true}, {\"check\": \"normal control 4\", \"actual\": 0, \"expected\": 0, \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":39.755,"exit_code":1,"observations":[{"actual":25,"check":"regression: tier check order","expected":35,"passed":false},{"actual":40,"check":"partial repair probe: tier check order","expected":50,"passed":false},{"actual":35,"check":"second regression","expected":45,"passed":false},{"actual":20,"check":"normal control 1","expected":20,"passed":true},{"actual":10,"check":"normal control 2","expected":10,"passed":true},{"actual":15,"check":"normal control 3","expected":15,"passed":true},{"actual":0,"check":"normal control 4","expected":0,"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: tier check order\", \"actual\": 25, \"expected\": 35, \"passed\": false}, {\"check\": \"partial repair probe: tier check order\", \"actual\": 40, \"expected\": 50, \"passed\": false}, {\"check\": \"second regression\", \"actual\": 35, \"expected\": 45, \"passed\": false}, {\"check\": \"normal control 1\", \"actual\": 20, \"expected\": 20, \"passed\": true}, {\"check\": \"normal control 2\", \"actual\": 10, \"expected\": 10, \"passed\": true}, {\"check\": \"normal control 3\", \"actual\": 15, \"expected\": 15, \"passed\": true}, {\"check\": \"normal control 4\", \"actual\": 0, \"expected\": 0, \"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."}}