{"abstract":"Spinners collect 8 extra points for every stumping.","category":"Fantasy sports scoring","checks":7,"contract":"Score a T20 bowling spell. Overs use cricket notation (\"3.4\" = 3 overs and 4 balls, 6 balls per over). Each wicket credited to the bowler scores 25 (run outs are not credited); bowled and lbw earn +8 each; haul bonus for 3/4/5+ credited wickets is 4/8/16 (highest only); maiden +12. Economy (exact runs per 6 balls) applies from 2 full overs (12 balls): <5 +6, <6 +4, <=7 +2, <10 0, <=11 -2, <=12 -4, else -6.","evaluation_group":"w2-fantasy-sports-scoring-cricket-bowling","failed_approach":"Limiting the bonus to bowled alone drops lbw bonuses.","family":"w2-fantasy-sports-scoring-cricket-bowling-bowled-lbw-bonus-set","id":"FA-85201","implementations":{"attempt":{"sha256":"2ba6d0427ce4d4d22ac57bf01201a79d43726a936f2d90f8a4db239adc4655f8","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nfrom fractions import Fraction\nN = 1\nobservations = []\ndef solve(spell):\n    whole, _, part = spell['overs'].partition('.')\n    balls = int(whole) * 6 + int(part or 0)\n    wk = [d for d in spell['wickets'] if d != 'run out']\n    pts = 25 * len(wk)\n    pts += 8 * sum(1 for d in wk if d == 'bowled')\n    if len(wk) >= 5:\n        pts += 16\n    elif len(wk) >= 4:\n        pts += 8\n    elif len(wk) >= 3:\n        pts += 4\n    pts += 12 * spell['maidens']\n    if balls >= 12:\n        econ = Fraction(spell['runs'] * 6, balls)\n        if econ < 5:\n            pts += 6\n        elif econ < 6:\n            pts += 4\n        elif econ <= 7:\n            pts += 2\n        elif econ < 10:\n            pass\n        elif econ <= 11:\n            pts -= 2\n        elif econ <= 12:\n            pts -= 4\n        else:\n            pts -= 6\n    return {'balls': balls, 'points': pts}\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: bowled lbw bonus set',\n   [{'maidens': 0, 'overs': '0.4', 'runs': 7, 'wickets': ['caught', 'stumped', 'stumped', 'caught']}],\n   {'balls': 4, 'points': 108}),\n  ('partial repair probe: bowled lbw bonus set',\n   [{'maidens': 0, 'overs': '0.4', 'runs': 4, 'wickets': ['stumped', 'caught', 'bowled', 'lbw']}],\n   {'balls': 4, 'points': 124}),\n  ('second regression', [{'maidens': 1, 'overs': '2', 'runs': 12, 'wickets': ['stumped']}],\n   {'balls': 12, 'points': 39}),\n  ('normal control 1', [{'maidens': 0, 'overs': '3.4', 'runs': 27, 'wickets': ['caught', 'caught']}],\n   {'balls': 22, 'points': 50}),\n  ('normal control 2', [{'maidens': 1, 'overs': '2', 'runs': 24, 'wickets': ['caught']}],\n   {'balls': 12, 'points': 33}),\n  ('normal control 3', [{'maidens': 0, 'overs': '2', 'runs': 30, 'wickets': []}],\n   {'balls': 12, 'points': -6}),\n  ('normal control 4', [{'maidens': 0, 'overs': '2', 'runs': 14, 'wickets': []}],\n   {'balls': 12, 'points': 2})],\n [('regression: bowled lbw bonus set',\n   [{'maidens': 0,\n     'overs': '2.0',\n     'runs': 0,\n     'wickets': ['caught', 'run out', 'bowled', 'stumped', 'caught']}],\n   {'balls': 12, 'points': 122}),\n  ('partial repair probe: bowled lbw bonus set',\n   [{'maidens': 0, 'overs': '2.3', 'runs': 30, 'wickets': ['bowled', 'lbw', 'stumped', 'caught']}],\n   {'balls': 15, 'points': 120}),\n  ('second regression', [{'maidens': 1, 'overs': '1.5', 'runs': 22, 'wickets': ['run out', 'stumped']}],\n   {'balls': 11, 'points': 37}),\n  ('normal control 1', [{'maidens': 1, 'overs': '2.3', 'runs': 17, 'wickets': []}],\n   {'balls': 15, 'points': 14}),\n  ('normal control 2', [{'maidens': 0, 'overs': '2', 'runs': 24, 'wickets': ['bowled']}],\n   {'balls': 12, 'points': 29}),\n  ('normal control 3', [{'maidens': 0, 'overs': '2', 'runs': 33, 'wickets': []}],\n   {'balls': 12, 'points': -6}),\n  ('normal control 4', [{'maidens': 1, 'overs': '2.3', 'runs': 21, 'wickets': ['run out']}],\n   {'balls': 15, 'points': 12})],\n [('regression: bowled lbw bonus set',\n   [{'maidens': 1, 'overs': '2.0', 'runs': 14, 'wickets': ['run out', 'stumped', 'lbw', 'bowled']}],\n   {'balls': 12, 'points': 109}),\n  ('partial repair probe: bowled lbw bonus set',\n   [{'maidens': 1, 'overs': '4', 'runs': 48, 'wickets': ['lbw']}], {'balls': 24, 'points': 41}),\n  ('second regression', [{'maidens': 1, 'overs': '2', 'runs': 32, 'wickets': ['stumped']}],\n   {'balls': 12, 'points': 31}),\n  ('normal control 1', [{'maidens': 1, 'overs': '0.4', 'runs': 8, 'wickets': []}],\n   {'balls': 4, 'points': 12}),\n  ('normal control 2', [{'maidens': 0, 'overs': '4', 'runs': 28, 'wickets': []}], {'balls': 24, 'points': 2}),\n  ('normal control 3', [{'maidens': 0, 'overs': '2.3', 'runs': 17, 'wickets': ['bowled', 'caught']}],\n   {'balls': 15, 'points': 60}),\n  ('normal control 4', [{'maidens': 1, 'overs': '0.4', 'runs': 4, 'wickets': ['bowled', 'caught']}],\n   {'balls': 4, 'points': 70})],\n [('regression: bowled lbw bonus set',\n   [{'maidens': 0,\n     'overs': '2',\n     'runs': 12,\n     'wickets': ['run out', 'caught', 'caught', 'caught', 'stumped']}],\n   {'balls': 12, 'points': 110}),\n  ('partial repair probe: bowled lbw bonus set',\n   [{'maidens': 1, 'overs': '2', 'runs': 12, 'wickets': ['caught', 'caught', 'stumped', 'lbw', 'lbw']}],\n   {'balls': 12, 'points': 171}),\n  ('second regression', [{'maidens': 0, 'overs': '1.6', 'runs': 26, 'wickets': ['lbw', 'stumped']}],\n   {'balls': 12, 'points': 52}),\n  ('normal control 1', [{'maidens': 0, 'overs': '1.5', 'runs': 11, 'wickets': []}],\n   {'balls': 11, 'points': 0}),\n  ('normal control 2', [{'maidens': 1, 'overs': '2.3', 'runs': 30, 'wickets': ['caught', 'caught']}],\n   {'balls': 15, 'points': 58}),\n  ('normal control 3', [{'maidens': 0, 'overs': '2', 'runs': 14, 'wickets': ['caught']}],\n   {'balls': 12, 'points': 27}),\n  ('normal control 4', [{'maidens': 1, 'overs': '1.6', 'runs': 14, 'wickets': ['caught']}],\n   {'balls': 12, 'points': 39})],\n [('regression: bowled lbw bonus set',\n   [{'maidens': 1, 'overs': '3.4', 'runs': 25, 'wickets': ['stumped', 'stumped', 'bowled', 'run out']}],\n   {'balls': 22, 'points': 101}),\n  ('partial repair probe: bowled lbw bonus set',\n   [{'maidens': 1, 'overs': '4', 'runs': 13, 'wickets': ['lbw']}], {'balls': 24, 'points': 51}),\n  ('second regression', [{'maidens': 0, 'overs': '0.4', 'runs': 9, 'wickets': ['lbw', 'caught']}],\n   {'balls': 4, 'points': 58}),\n  ('normal control 1', [{'maidens': 1, 'overs': '0.4', 'runs': 4, 'wickets': []}],\n   {'balls': 4, 'points': 12}),\n  ('normal control 2', [{'maidens': 1, 'overs': '1.6', 'runs': 14, 'wickets': []}],\n   {'balls': 12, 'points': 14}),\n  ('normal control 3', [{'maidens': 0, 'overs': '2.3', 'runs': 23, 'wickets': ['caught']}],\n   {'balls': 15, 'points': 25}),\n  ('normal control 4', [{'maidens': 1, 'overs': '1.6', 'runs': 29, 'wickets': []}],\n   {'balls': 12, 'points': 6})]]\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":"dc0d853a230414a25cd0f4b72eccda27ca31c27935294c4e5e5330b827b860e9","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nfrom fractions import Fraction\nN = 1\nobservations = []\ndef solve(spell):\n    whole, _, part = spell['overs'].partition('.')\n    balls = int(whole) * 6 + int(part or 0)\n    wk = [d for d in spell['wickets'] if d != 'run out']\n    pts = 25 * len(wk)\n    pts += 8 * sum(1 for d in wk if d in ('bowled', 'lbw', 'stumped'))\n    if len(wk) >= 5:\n        pts += 16\n    elif len(wk) >= 4:\n        pts += 8\n    elif len(wk) >= 3:\n        pts += 4\n    pts += 12 * spell['maidens']\n    if balls >= 12:\n        econ = Fraction(spell['runs'] * 6, balls)\n        if econ < 5:\n            pts += 6\n        elif econ < 6:\n            pts += 4\n        elif econ <= 7:\n            pts += 2\n        elif econ < 10:\n            pass\n        elif econ <= 11:\n            pts -= 2\n        elif econ <= 12:\n            pts -= 4\n        else:\n            pts -= 6\n    return {'balls': balls, 'points': pts}\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: bowled lbw bonus set',\n   [{'maidens': 0, 'overs': '0.4', 'runs': 7, 'wickets': ['caught', 'stumped', 'stumped', 'caught']}],\n   {'balls': 4, 'points': 108}),\n  ('partial repair probe: bowled lbw bonus set',\n   [{'maidens': 0, 'overs': '0.4', 'runs': 4, 'wickets': ['stumped', 'caught', 'bowled', 'lbw']}],\n   {'balls': 4, 'points': 124}),\n  ('second regression', [{'maidens': 1, 'overs': '2', 'runs': 12, 'wickets': ['stumped']}],\n   {'balls': 12, 'points': 39}),\n  ('normal control 1', [{'maidens': 0, 'overs': '3.4', 'runs': 27, 'wickets': ['caught', 'caught']}],\n   {'balls': 22, 'points': 50}),\n  ('normal control 2', [{'maidens': 1, 'overs': '2', 'runs': 24, 'wickets': ['caught']}],\n   {'balls': 12, 'points': 33}),\n  ('normal control 3', [{'maidens': 0, 'overs': '2', 'runs': 30, 'wickets': []}],\n   {'balls': 12, 'points': -6}),\n  ('normal control 4', [{'maidens': 0, 'overs': '2', 'runs': 14, 'wickets': []}],\n   {'balls': 12, 'points': 2})],\n [('regression: bowled lbw bonus set',\n   [{'maidens': 0,\n     'overs': '2.0',\n     'runs': 0,\n     'wickets': ['caught', 'run out', 'bowled', 'stumped', 'caught']}],\n   {'balls': 12, 'points': 122}),\n  ('partial repair probe: bowled lbw bonus set',\n   [{'maidens': 0, 'overs': '2.3', 'runs': 30, 'wickets': ['bowled', 'lbw', 'stumped', 'caught']}],\n   {'balls': 15, 'points': 120}),\n  ('second regression', [{'maidens': 1, 'overs': '1.5', 'runs': 22, 'wickets': ['run out', 'stumped']}],\n   {'balls': 11, 'points': 37}),\n  ('normal control 1', [{'maidens': 1, 'overs': '2.3', 'runs': 17, 'wickets': []}],\n   {'balls': 15, 'points': 14}),\n  ('normal control 2', [{'maidens': 0, 'overs': '2', 'runs': 24, 'wickets': ['bowled']}],\n   {'balls': 12, 'points': 29}),\n  ('normal control 3', [{'maidens': 0, 'overs': '2', 'runs': 33, 'wickets': []}],\n   {'balls': 12, 'points': -6}),\n  ('normal control 4', [{'maidens': 1, 'overs': '2.3', 'runs': 21, 'wickets': ['run out']}],\n   {'balls': 15, 'points': 12})],\n [('regression: bowled lbw bonus set',\n   [{'maidens': 1, 'overs': '2.0', 'runs': 14, 'wickets': ['run out', 'stumped', 'lbw', 'bowled']}],\n   {'balls': 12, 'points': 109}),\n  ('partial repair probe: bowled lbw bonus set',\n   [{'maidens': 1, 'overs': '4', 'runs': 48, 'wickets': ['lbw']}], {'balls': 24, 'points': 41}),\n  ('second regression', [{'maidens': 1, 'overs': '2', 'runs': 32, 'wickets': ['stumped']}],\n   {'balls': 12, 'points': 31}),\n  ('normal control 1', [{'maidens': 1, 'overs': '0.4', 'runs': 8, 'wickets': []}],\n   {'balls': 4, 'points': 12}),\n  ('normal control 2', [{'maidens': 0, 'overs': '4', 'runs': 28, 'wickets': []}], {'balls': 24, 'points': 2}),\n  ('normal control 3', [{'maidens': 0, 'overs': '2.3', 'runs': 17, 'wickets': ['bowled', 'caught']}],\n   {'balls': 15, 'points': 60}),\n  ('normal control 4', [{'maidens': 1, 'overs': '0.4', 'runs': 4, 'wickets': ['bowled', 'caught']}],\n   {'balls': 4, 'points': 70})],\n [('regression: bowled lbw bonus set',\n   [{'maidens': 0,\n     'overs': '2',\n     'runs': 12,\n     'wickets': ['run out', 'caught', 'caught', 'caught', 'stumped']}],\n   {'balls': 12, 'points': 110}),\n  ('partial repair probe: bowled lbw bonus set',\n   [{'maidens': 1, 'overs': '2', 'runs': 12, 'wickets': ['caught', 'caught', 'stumped', 'lbw', 'lbw']}],\n   {'balls': 12, 'points': 171}),\n  ('second regression', [{'maidens': 0, 'overs': '1.6', 'runs': 26, 'wickets': ['lbw', 'stumped']}],\n   {'balls': 12, 'points': 52}),\n  ('normal control 1', [{'maidens': 0, 'overs': '1.5', 'runs': 11, 'wickets': []}],\n   {'balls': 11, 'points': 0}),\n  ('normal control 2', [{'maidens': 1, 'overs': '2.3', 'runs': 30, 'wickets': ['caught', 'caught']}],\n   {'balls': 15, 'points': 58}),\n  ('normal control 3', [{'maidens': 0, 'overs': '2', 'runs': 14, 'wickets': ['caught']}],\n   {'balls': 12, 'points': 27}),\n  ('normal control 4', [{'maidens': 1, 'overs': '1.6', 'runs': 14, 'wickets': ['caught']}],\n   {'balls': 12, 'points': 39})],\n [('regression: bowled lbw bonus set',\n   [{'maidens': 1, 'overs': '3.4', 'runs': 25, 'wickets': ['stumped', 'stumped', 'bowled', 'run out']}],\n   {'balls': 22, 'points': 101}),\n  ('partial repair probe: bowled lbw bonus set',\n   [{'maidens': 1, 'overs': '4', 'runs': 13, 'wickets': ['lbw']}], {'balls': 24, 'points': 51}),\n  ('second regression', [{'maidens': 0, 'overs': '0.4', 'runs': 9, 'wickets': ['lbw', 'caught']}],\n   {'balls': 4, 'points': 58}),\n  ('normal control 1', [{'maidens': 1, 'overs': '0.4', 'runs': 4, 'wickets': []}],\n   {'balls': 4, 'points': 12}),\n  ('normal control 2', [{'maidens': 1, 'overs': '1.6', 'runs': 14, 'wickets': []}],\n   {'balls': 12, 'points': 14}),\n  ('normal control 3', [{'maidens': 0, 'overs': '2.3', 'runs': 23, 'wickets': ['caught']}],\n   {'balls': 15, 'points': 25}),\n  ('normal control 4', [{'maidens': 1, 'overs': '1.6', 'runs': 29, 'wickets': []}],\n   {'balls': 12, 'points': 6})]]\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":"819758f0288c30b5080fcebbe25142c687696f7de8e16b09a4dbd340cdbd7ba0","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nfrom fractions import Fraction\nN = 1\nobservations = []\ndef solve(spell):\n    whole, _, part = spell['overs'].partition('.')\n    balls = int(whole) * 6 + int(part or 0)\n    wk = [d for d in spell['wickets'] if d != 'run out']\n    pts = 25 * len(wk)\n    pts += 8 * sum(1 for d in wk if d in ('bowled', 'lbw'))\n    if len(wk) >= 5:\n        pts += 16\n    elif len(wk) >= 4:\n        pts += 8\n    elif len(wk) >= 3:\n        pts += 4\n    pts += 12 * spell['maidens']\n    if balls >= 12:\n        econ = Fraction(spell['runs'] * 6, balls)\n        if econ < 5:\n            pts += 6\n        elif econ < 6:\n            pts += 4\n        elif econ <= 7:\n            pts += 2\n        elif econ < 10:\n            pass\n        elif econ <= 11:\n            pts -= 2\n        elif econ <= 12:\n            pts -= 4\n        else:\n            pts -= 6\n    return {'balls': balls, 'points': pts}\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: bowled lbw bonus set',\n   [{'maidens': 0, 'overs': '0.4', 'runs': 7, 'wickets': ['caught', 'stumped', 'stumped', 'caught']}],\n   {'balls': 4, 'points': 108}),\n  ('partial repair probe: bowled lbw bonus set',\n   [{'maidens': 0, 'overs': '0.4', 'runs': 4, 'wickets': ['stumped', 'caught', 'bowled', 'lbw']}],\n   {'balls': 4, 'points': 124}),\n  ('second regression', [{'maidens': 1, 'overs': '2', 'runs': 12, 'wickets': ['stumped']}],\n   {'balls': 12, 'points': 39}),\n  ('normal control 1', [{'maidens': 0, 'overs': '3.4', 'runs': 27, 'wickets': ['caught', 'caught']}],\n   {'balls': 22, 'points': 50}),\n  ('normal control 2', [{'maidens': 1, 'overs': '2', 'runs': 24, 'wickets': ['caught']}],\n   {'balls': 12, 'points': 33}),\n  ('normal control 3', [{'maidens': 0, 'overs': '2', 'runs': 30, 'wickets': []}],\n   {'balls': 12, 'points': -6}),\n  ('normal control 4', [{'maidens': 0, 'overs': '2', 'runs': 14, 'wickets': []}],\n   {'balls': 12, 'points': 2})],\n [('regression: bowled lbw bonus set',\n   [{'maidens': 0,\n     'overs': '2.0',\n     'runs': 0,\n     'wickets': ['caught', 'run out', 'bowled', 'stumped', 'caught']}],\n   {'balls': 12, 'points': 122}),\n  ('partial repair probe: bowled lbw bonus set',\n   [{'maidens': 0, 'overs': '2.3', 'runs': 30, 'wickets': ['bowled', 'lbw', 'stumped', 'caught']}],\n   {'balls': 15, 'points': 120}),\n  ('second regression', [{'maidens': 1, 'overs': '1.5', 'runs': 22, 'wickets': ['run out', 'stumped']}],\n   {'balls': 11, 'points': 37}),\n  ('normal control 1', [{'maidens': 1, 'overs': '2.3', 'runs': 17, 'wickets': []}],\n   {'balls': 15, 'points': 14}),\n  ('normal control 2', [{'maidens': 0, 'overs': '2', 'runs': 24, 'wickets': ['bowled']}],\n   {'balls': 12, 'points': 29}),\n  ('normal control 3', [{'maidens': 0, 'overs': '2', 'runs': 33, 'wickets': []}],\n   {'balls': 12, 'points': -6}),\n  ('normal control 4', [{'maidens': 1, 'overs': '2.3', 'runs': 21, 'wickets': ['run out']}],\n   {'balls': 15, 'points': 12})],\n [('regression: bowled lbw bonus set',\n   [{'maidens': 1, 'overs': '2.0', 'runs': 14, 'wickets': ['run out', 'stumped', 'lbw', 'bowled']}],\n   {'balls': 12, 'points': 109}),\n  ('partial repair probe: bowled lbw bonus set',\n   [{'maidens': 1, 'overs': '4', 'runs': 48, 'wickets': ['lbw']}], {'balls': 24, 'points': 41}),\n  ('second regression', [{'maidens': 1, 'overs': '2', 'runs': 32, 'wickets': ['stumped']}],\n   {'balls': 12, 'points': 31}),\n  ('normal control 1', [{'maidens': 1, 'overs': '0.4', 'runs': 8, 'wickets': []}],\n   {'balls': 4, 'points': 12}),\n  ('normal control 2', [{'maidens': 0, 'overs': '4', 'runs': 28, 'wickets': []}], {'balls': 24, 'points': 2}),\n  ('normal control 3', [{'maidens': 0, 'overs': '2.3', 'runs': 17, 'wickets': ['bowled', 'caught']}],\n   {'balls': 15, 'points': 60}),\n  ('normal control 4', [{'maidens': 1, 'overs': '0.4', 'runs': 4, 'wickets': ['bowled', 'caught']}],\n   {'balls': 4, 'points': 70})],\n [('regression: bowled lbw bonus set',\n   [{'maidens': 0,\n     'overs': '2',\n     'runs': 12,\n     'wickets': ['run out', 'caught', 'caught', 'caught', 'stumped']}],\n   {'balls': 12, 'points': 110}),\n  ('partial repair probe: bowled lbw bonus set',\n   [{'maidens': 1, 'overs': '2', 'runs': 12, 'wickets': ['caught', 'caught', 'stumped', 'lbw', 'lbw']}],\n   {'balls': 12, 'points': 171}),\n  ('second regression', [{'maidens': 0, 'overs': '1.6', 'runs': 26, 'wickets': ['lbw', 'stumped']}],\n   {'balls': 12, 'points': 52}),\n  ('normal control 1', [{'maidens': 0, 'overs': '1.5', 'runs': 11, 'wickets': []}],\n   {'balls': 11, 'points': 0}),\n  ('normal control 2', [{'maidens': 1, 'overs': '2.3', 'runs': 30, 'wickets': ['caught', 'caught']}],\n   {'balls': 15, 'points': 58}),\n  ('normal control 3', [{'maidens': 0, 'overs': '2', 'runs': 14, 'wickets': ['caught']}],\n   {'balls': 12, 'points': 27}),\n  ('normal control 4', [{'maidens': 1, 'overs': '1.6', 'runs': 14, 'wickets': ['caught']}],\n   {'balls': 12, 'points': 39})],\n [('regression: bowled lbw bonus set',\n   [{'maidens': 1, 'overs': '3.4', 'runs': 25, 'wickets': ['stumped', 'stumped', 'bowled', 'run out']}],\n   {'balls': 22, 'points': 101}),\n  ('partial repair probe: bowled lbw bonus set',\n   [{'maidens': 1, 'overs': '4', 'runs': 13, 'wickets': ['lbw']}], {'balls': 24, 'points': 51}),\n  ('second regression', [{'maidens': 0, 'overs': '0.4', 'runs': 9, 'wickets': ['lbw', 'caught']}],\n   {'balls': 4, 'points': 58}),\n  ('normal control 1', [{'maidens': 1, 'overs': '0.4', 'runs': 4, 'wickets': []}],\n   {'balls': 4, 'points': 12}),\n  ('normal control 2', [{'maidens': 1, 'overs': '1.6', 'runs': 14, 'wickets': []}],\n   {'balls': 12, 'points': 14}),\n  ('normal control 3', [{'maidens': 0, 'overs': '2.3', 'runs': 23, 'wickets': ['caught']}],\n   {'balls': 15, 'points': 25}),\n  ('normal control 4', [{'maidens': 1, 'overs': '1.6', 'runs': 29, 'wickets': []}],\n   {'balls': 12, 'points': 6})]]\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-cricket-bowling-bowled-lbw-bonus-set","generated_at":"2026-09-29T14:50:38.290085+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Bowling points depend on which dismissals are credited and on economy computed from ball counts, not decimal overs.","repair":"Limit the bonus to bowled and lbw.","root_cause":"The bonus set includes stumped dismissals.","sha256":"d2f6765c2015bdf5cd74b570c573fa3358f5e380ee208687d933d198cee42e63","title":"Stumpings earn the bowled/lbw bonus · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":41.08,"exit_code":1,"observations":[{"actual":{"balls":4,"points":108},"check":"regression: bowled lbw bonus set","expected":{"balls":4,"points":108},"passed":true},{"actual":{"balls":4,"points":116},"check":"partial repair probe: bowled lbw bonus set","expected":{"balls":4,"points":124},"passed":false},{"actual":{"balls":12,"points":39},"check":"second regression","expected":{"balls":12,"points":39},"passed":true},{"actual":{"balls":22,"points":50},"check":"normal control 1","expected":{"balls":22,"points":50},"passed":true},{"actual":{"balls":12,"points":33},"check":"normal control 2","expected":{"balls":12,"points":33},"passed":true},{"actual":{"balls":12,"points":-6},"check":"normal control 3","expected":{"balls":12,"points":-6},"passed":true},{"actual":{"balls":12,"points":2},"check":"normal control 4","expected":{"balls":12,"points":2},"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": 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