{"abstract":"A goalie playing every regulation second of a 1-0 win gets no shutout bonus.","category":"Fantasy sports scoring","checks":7,"contract":"Score a hockey goalie in tenths. Goals against charged to the goalie exclude empty-net goals scored on his team. shots_faced counts only shots the goalie faced, so saves = shots_faced - goalie goals against. Save 0.2, goal against -2, win 4, overtime loss 1, regulation loss 0. A shutout (+3) needs zero goalie goals against and at least 3600 seconds on ice; the decision does not matter.","evaluation_group":"w2-fantasy-sports-scoring-goalie-line","failed_approach":"Also requiring a win denies the bonus to a goalie who blanked the opponent and lost the shootout.","family":"w2-fantasy-sports-scoring-goalie-line-shutout-playing-time","id":"FA-85141","implementations":{"attempt":{"sha256":"a8e22427e708229b29b494b0e83fa16a28aaef046c124bbee6a6e0ecf0a5dd58","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(g):\n    ga = g['team_ga'] - g['empty_net_ga']\n    saves = g['shots_faced'] - ga\n    pts = saves * 2 - ga * 20\n    pts += {'W': 40, 'OTL': 10}.get(g['decision'], 0)\n    if ga == 0 and g['toi_sec'] >= 3600 and g['decision'] == 'W':\n        pts += 30\n    return {'saves': saves, 'points': pts}\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: shutout playing time',\n   [{'decision': None, 'empty_net_ga': 0, 'shots_faced': 3, 'team_ga': 0, 'toi_sec': 3600}],\n   {'points': 36, 'saves': 3}),\n  ('partial repair probe: shutout playing time',\n   [{'decision': 'OTL', 'empty_net_ga': 2, 'shots_faced': 9, 'team_ga': 2, 'toi_sec': 3600}],\n   {'points': 58, 'saves': 9}),\n  ('second regression',\n   [{'decision': 'L', 'empty_net_ga': 0, 'shots_faced': 23, 'team_ga': 0, 'toi_sec': 3600}],\n   {'points': 76, 'saves': 23}),\n  ('normal control 1',\n   [{'decision': 'OTL', 'empty_net_ga': 0, 'shots_faced': 15, 'team_ga': 1, 'toi_sec': 2737}],\n   {'points': 18, 'saves': 14}),\n  ('normal control 2',\n   [{'decision': None, 'empty_net_ga': 2, 'shots_faced': 25, 'team_ga': 5, 'toi_sec': 3600}],\n   {'points': -16, 'saves': 22}),\n  ('normal control 3',\n   [{'decision': 'OTL', 'empty_net_ga': 1, 'shots_faced': 42, 'team_ga': 4, 'toi_sec': 3600}],\n   {'points': 28, 'saves': 39}),\n  ('normal control 4',\n   [{'decision': 'L', 'empty_net_ga': 2, 'shots_faced': 26, 'team_ga': 4, 'toi_sec': 3599}],\n   {'points': 8, 'saves': 24})],\n [('regression: shutout playing time',\n   [{'decision': None, 'empty_net_ga': 0, 'shots_faced': 23, 'team_ga': 0, 'toi_sec': 3600}],\n   {'points': 76, 'saves': 23}),\n  ('partial repair probe: shutout playing time',\n   [{'decision': 'OTL', 'empty_net_ga': 0, 'shots_faced': 3, 'team_ga': 0, 'toi_sec': 3900}],\n   {'points': 46, 'saves': 3}),\n  ('second regression',\n   [{'decision': 'W', 'empty_net_ga': 2, 'shots_faced': 27, 'team_ga': 2, 'toi_sec': 3600}],\n   {'points': 124, 'saves': 27}),\n  ('normal control 1',\n   [{'decision': 'L', 'empty_net_ga': 0, 'shots_faced': 6, 'team_ga': 0, 'toi_sec': 3540}],\n   {'points': 12, 'saves': 6}),\n  ('normal control 2',\n   [{'decision': 'OTL', 'empty_net_ga': 0, 'shots_faced': 1, 'team_ga': 1, 'toi_sec': 2400}],\n   {'points': -10, 'saves': 0}),\n  ('normal control 3',\n   [{'decision': 'W', 'empty_net_ga': 1, 'shots_faced': 18, 'team_ga': 6, 'toi_sec': 3900}],\n   {'points': -34, 'saves': 13}),\n  ('normal control 4',\n   [{'decision': 'W', 'empty_net_ga': 1, 'shots_faced': 15, 'team_ga': 3, 'toi_sec': 2400}],\n   {'points': 26, 'saves': 13})],\n [('regression: shutout playing time',\n   [{'decision': 'OTL', 'empty_net_ga': 2, 'shots_faced': 16, 'team_ga': 2, 'toi_sec': 3600}],\n   {'points': 72, 'saves': 16}),\n  ('partial repair probe: shutout playing time',\n   [{'decision': 'OTL', 'empty_net_ga': 0, 'shots_faced': 38, 'team_ga': 0, 'toi_sec': 3600}],\n   {'points': 116, 'saves': 38}),\n  ('second regression',\n   [{'decision': 'W', 'empty_net_ga': 0, 'shots_faced': 23, 'team_ga': 0, 'toi_sec': 3600}],\n   {'points': 116, 'saves': 23}),\n  ('normal control 1',\n   [{'decision': None, 'empty_net_ga': 0, 'shots_faced': 34, 'team_ga': 3, 'toi_sec': 3600}],\n   {'points': 2, 'saves': 31}),\n  ('normal control 2',\n   [{'decision': None, 'empty_net_ga': 1, 'shots_faced': 26, 'team_ga': 3, 'toi_sec': 3600}],\n   {'points': 8, 'saves': 24}),\n  ('normal control 3',\n   [{'decision': 'OTL', 'empty_net_ga': 0, 'shots_faced': 24, 'team_ga': 2, 'toi_sec': 2400}],\n   {'points': 14, 'saves': 22}),\n  ('normal control 4',\n   [{'decision': 'L', 'empty_net_ga': 1, 'shots_faced': 35, 'team_ga': 1, 'toi_sec': 3283}],\n   {'points': 70, 'saves': 35})],\n [('regression: shutout playing time',\n   [{'decision': None, 'empty_net_ga': 1, 'shots_faced': 10, 'team_ga': 1, 'toi_sec': 3600}],\n   {'points': 50, 'saves': 10}),\n  ('partial repair probe: shutout playing time',\n   [{'decision': None, 'empty_net_ga': 2, 'shots_faced': 9, 'team_ga': 2, 'toi_sec': 3900}],\n   {'points': 48, 'saves': 9}),\n  ('second regression',\n   [{'decision': 'OTL', 'empty_net_ga': 1, 'shots_faced': 31, 'team_ga': 1, 'toi_sec': 3600}],\n   {'points': 102, 'saves': 31}),\n  ('normal control 1',\n   [{'decision': 'OTL', 'empty_net_ga': 1, 'shots_faced': 6, 'team_ga': 6, 'toi_sec': 681}],\n   {'points': -88, 'saves': 1}),\n  ('normal control 2',\n   [{'decision': 'L', 'empty_net_ga': 1, 'shots_faced': 35, 'team_ga': 4, 'toi_sec': 3540}],\n   {'points': 4, 'saves': 32}),\n  ('normal control 3',\n   [{'decision': None, 'empty_net_ga': 2, 'shots_faced': 19, 'team_ga': 5, 'toi_sec': 3900}],\n   {'points': -28, 'saves': 16}),\n  ('normal control 4',\n   [{'decision': 'W', 'empty_net_ga': 0, 'shots_faced': 29, 'team_ga': 5, 'toi_sec': 3600}],\n   {'points': -12, 'saves': 24})],\n [('regression: shutout playing time',\n   [{'decision': 'L', 'empty_net_ga': 1, 'shots_faced': 21, 'team_ga': 1, 'toi_sec': 3600}],\n   {'points': 72, 'saves': 21}),\n  ('partial repair probe: shutout playing time',\n   [{'decision': None, 'empty_net_ga': 0, 'shots_faced': 20, 'team_ga': 0, 'toi_sec': 3600}],\n   {'points': 70, 'saves': 20}),\n  ('second regression',\n   [{'decision': 'L', 'empty_net_ga': 1, 'shots_faced': 22, 'team_ga': 1, 'toi_sec': 3600}],\n   {'points': 74, 'saves': 22}),\n  ('normal control 1',\n   [{'decision': None, 'empty_net_ga': 1, 'shots_faced': 10, 'team_ga': 6, 'toi_sec': 3900}],\n   {'points': -90, 'saves': 5}),\n  ('normal control 2',\n   [{'decision': 'L', 'empty_net_ga': 1, 'shots_faced': 20, 'team_ga': 2, 'toi_sec': 3600}],\n   {'points': 18, 'saves': 19}),\n  ('normal control 3',\n   [{'decision': 'L', 'empty_net_ga': 0, 'shots_faced': 27, 'team_ga': 0, 'toi_sec': 2400}],\n   {'points': 54, 'saves': 27}),\n  ('normal control 4',\n   [{'decision': None, 'empty_net_ga': 2, 'shots_faced': 18, 'team_ga': 4, 'toi_sec': 3600}],\n   {'points': -8, 'saves': 16})]]\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":"4849b1f48dfcecfe0bd5c00a30d8b7dc373df08ef6bfca5f363ccd7b883bf6a5","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(g):\n    ga = g['team_ga'] - g['empty_net_ga']\n    saves = g['shots_faced'] - ga\n    pts = saves * 2 - ga * 20\n    pts += {'W': 40, 'OTL': 10}.get(g['decision'], 0)\n    if ga == 0 and g['toi_sec'] > 3600:\n        pts += 30\n    return {'saves': saves, 'points': pts}\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: shutout playing time',\n   [{'decision': None, 'empty_net_ga': 0, 'shots_faced': 3, 'team_ga': 0, 'toi_sec': 3600}],\n   {'points': 36, 'saves': 3}),\n  ('partial repair probe: shutout playing time',\n   [{'decision': 'OTL', 'empty_net_ga': 2, 'shots_faced': 9, 'team_ga': 2, 'toi_sec': 3600}],\n   {'points': 58, 'saves': 9}),\n  ('second regression',\n   [{'decision': 'L', 'empty_net_ga': 0, 'shots_faced': 23, 'team_ga': 0, 'toi_sec': 3600}],\n   {'points': 76, 'saves': 23}),\n  ('normal control 1',\n   [{'decision': 'OTL', 'empty_net_ga': 0, 'shots_faced': 15, 'team_ga': 1, 'toi_sec': 2737}],\n   {'points': 18, 'saves': 14}),\n  ('normal control 2',\n   [{'decision': None, 'empty_net_ga': 2, 'shots_faced': 25, 'team_ga': 5, 'toi_sec': 3600}],\n   {'points': -16, 'saves': 22}),\n  ('normal control 3',\n   [{'decision': 'OTL', 'empty_net_ga': 1, 'shots_faced': 42, 'team_ga': 4, 'toi_sec': 3600}],\n   {'points': 28, 'saves': 39}),\n  ('normal control 4',\n   [{'decision': 'L', 'empty_net_ga': 2, 'shots_faced': 26, 'team_ga': 4, 'toi_sec': 3599}],\n   {'points': 8, 'saves': 24})],\n [('regression: shutout playing time',\n   [{'decision': None, 'empty_net_ga': 0, 'shots_faced': 23, 'team_ga': 0, 'toi_sec': 3600}],\n   {'points': 76, 'saves': 23}),\n  ('partial repair probe: shutout playing time',\n   [{'decision': 'OTL', 'empty_net_ga': 0, 'shots_faced': 3, 'team_ga': 0, 'toi_sec': 3900}],\n   {'points': 46, 'saves': 3}),\n  ('second regression',\n   [{'decision': 'W', 'empty_net_ga': 2, 'shots_faced': 27, 'team_ga': 2, 'toi_sec': 3600}],\n   {'points': 124, 'saves': 27}),\n  ('normal control 1',\n   [{'decision': 'L', 'empty_net_ga': 0, 'shots_faced': 6, 'team_ga': 0, 'toi_sec': 3540}],\n   {'points': 12, 'saves': 6}),\n  ('normal control 2',\n   [{'decision': 'OTL', 'empty_net_ga': 0, 'shots_faced': 1, 'team_ga': 1, 'toi_sec': 2400}],\n   {'points': -10, 'saves': 0}),\n  ('normal control 3',\n   [{'decision': 'W', 'empty_net_ga': 1, 'shots_faced': 18, 'team_ga': 6, 'toi_sec': 3900}],\n   {'points': -34, 'saves': 13}),\n  ('normal control 4',\n   [{'decision': 'W', 'empty_net_ga': 1, 'shots_faced': 15, 'team_ga': 3, 'toi_sec': 2400}],\n   {'points': 26, 'saves': 13})],\n [('regression: shutout playing time',\n   [{'decision': 'OTL', 'empty_net_ga': 2, 'shots_faced': 16, 'team_ga': 2, 'toi_sec': 3600}],\n   {'points': 72, 'saves': 16}),\n  ('partial repair probe: shutout playing time',\n   [{'decision': 'OTL', 'empty_net_ga': 0, 'shots_faced': 38, 'team_ga': 0, 'toi_sec': 3600}],\n   {'points': 116, 'saves': 38}),\n  ('second regression',\n   [{'decision': 'W', 'empty_net_ga': 0, 'shots_faced': 23, 'team_ga': 0, 'toi_sec': 3600}],\n   {'points': 116, 'saves': 23}),\n  ('normal control 1',\n   [{'decision': None, 'empty_net_ga': 0, 'shots_faced': 34, 'team_ga': 3, 'toi_sec': 3600}],\n   {'points': 2, 'saves': 31}),\n  ('normal control 2',\n   [{'decision': None, 'empty_net_ga': 1, 'shots_faced': 26, 'team_ga': 3, 'toi_sec': 3600}],\n   {'points': 8, 'saves': 24}),\n  ('normal control 3',\n   [{'decision': 'OTL', 'empty_net_ga': 0, 'shots_faced': 24, 'team_ga': 2, 'toi_sec': 2400}],\n   {'points': 14, 'saves': 22}),\n  ('normal control 4',\n   [{'decision': 'L', 'empty_net_ga': 1, 'shots_faced': 35, 'team_ga': 1, 'toi_sec': 3283}],\n   {'points': 70, 'saves': 35})],\n [('regression: shutout playing time',\n   [{'decision': None, 'empty_net_ga': 1, 'shots_faced': 10, 'team_ga': 1, 'toi_sec': 3600}],\n   {'points': 50, 'saves': 10}),\n  ('partial repair probe: shutout playing time',\n   [{'decision': None, 'empty_net_ga': 2, 'shots_faced': 9, 'team_ga': 2, 'toi_sec': 3900}],\n   {'points': 48, 'saves': 9}),\n  ('second regression',\n   [{'decision': 'OTL', 'empty_net_ga': 1, 'shots_faced': 31, 'team_ga': 1, 'toi_sec': 3600}],\n   {'points': 102, 'saves': 31}),\n  ('normal control 1',\n   [{'decision': 'OTL', 'empty_net_ga': 1, 'shots_faced': 6, 'team_ga': 6, 'toi_sec': 681}],\n   {'points': -88, 'saves': 1}),\n  ('normal control 2',\n   [{'decision': 'L', 'empty_net_ga': 1, 'shots_faced': 35, 'team_ga': 4, 'toi_sec': 3540}],\n   {'points': 4, 'saves': 32}),\n  ('normal control 3',\n   [{'decision': None, 'empty_net_ga': 2, 'shots_faced': 19, 'team_ga': 5, 'toi_sec': 3900}],\n   {'points': -28, 'saves': 16}),\n  ('normal control 4',\n   [{'decision': 'W', 'empty_net_ga': 0, 'shots_faced': 29, 'team_ga': 5, 'toi_sec': 3600}],\n   {'points': -12, 'saves': 24})],\n [('regression: shutout playing time',\n   [{'decision': 'L', 'empty_net_ga': 1, 'shots_faced': 21, 'team_ga': 1, 'toi_sec': 3600}],\n   {'points': 72, 'saves': 21}),\n  ('partial repair probe: shutout playing time',\n   [{'decision': None, 'empty_net_ga': 0, 'shots_faced': 20, 'team_ga': 0, 'toi_sec': 3600}],\n   {'points': 70, 'saves': 20}),\n  ('second regression',\n   [{'decision': 'L', 'empty_net_ga': 1, 'shots_faced': 22, 'team_ga': 1, 'toi_sec': 3600}],\n   {'points': 74, 'saves': 22}),\n  ('normal control 1',\n   [{'decision': None, 'empty_net_ga': 1, 'shots_faced': 10, 'team_ga': 6, 'toi_sec': 3900}],\n   {'points': -90, 'saves': 5}),\n  ('normal control 2',\n   [{'decision': 'L', 'empty_net_ga': 1, 'shots_faced': 20, 'team_ga': 2, 'toi_sec': 3600}],\n   {'points': 18, 'saves': 19}),\n  ('normal control 3',\n   [{'decision': 'L', 'empty_net_ga': 0, 'shots_faced': 27, 'team_ga': 0, 'toi_sec': 2400}],\n   {'points': 54, 'saves': 27}),\n  ('normal control 4',\n   [{'decision': None, 'empty_net_ga': 2, 'shots_faced': 18, 'team_ga': 4, 'toi_sec': 3600}],\n   {'points': -8, 'saves': 16})]]\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":"1418363963b788e337e12a5def364c3dc5673485e6a61cc92d79ec858a988214","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(g):\n    ga = g['team_ga'] - g['empty_net_ga']\n    saves = g['shots_faced'] - ga\n    pts = saves * 2 - ga * 20\n    pts += {'W': 40, 'OTL': 10}.get(g['decision'], 0)\n    if ga == 0 and g['toi_sec'] >= 3600:\n        pts += 30\n    return {'saves': saves, 'points': pts}\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: shutout playing time',\n   [{'decision': None, 'empty_net_ga': 0, 'shots_faced': 3, 'team_ga': 0, 'toi_sec': 3600}],\n   {'points': 36, 'saves': 3}),\n  ('partial repair probe: shutout playing time',\n   [{'decision': 'OTL', 'empty_net_ga': 2, 'shots_faced': 9, 'team_ga': 2, 'toi_sec': 3600}],\n   {'points': 58, 'saves': 9}),\n  ('second regression',\n   [{'decision': 'L', 'empty_net_ga': 0, 'shots_faced': 23, 'team_ga': 0, 'toi_sec': 3600}],\n   {'points': 76, 'saves': 23}),\n  ('normal control 1',\n   [{'decision': 'OTL', 'empty_net_ga': 0, 'shots_faced': 15, 'team_ga': 1, 'toi_sec': 2737}],\n   {'points': 18, 'saves': 14}),\n  ('normal control 2',\n   [{'decision': None, 'empty_net_ga': 2, 'shots_faced': 25, 'team_ga': 5, 'toi_sec': 3600}],\n   {'points': -16, 'saves': 22}),\n  ('normal control 3',\n   [{'decision': 'OTL', 'empty_net_ga': 1, 'shots_faced': 42, 'team_ga': 4, 'toi_sec': 3600}],\n   {'points': 28, 'saves': 39}),\n  ('normal control 4',\n   [{'decision': 'L', 'empty_net_ga': 2, 'shots_faced': 26, 'team_ga': 4, 'toi_sec': 3599}],\n   {'points': 8, 'saves': 24})],\n [('regression: shutout playing time',\n   [{'decision': None, 'empty_net_ga': 0, 'shots_faced': 23, 'team_ga': 0, 'toi_sec': 3600}],\n   {'points': 76, 'saves': 23}),\n  ('partial repair probe: shutout playing time',\n   [{'decision': 'OTL', 'empty_net_ga': 0, 'shots_faced': 3, 'team_ga': 0, 'toi_sec': 3900}],\n   {'points': 46, 'saves': 3}),\n  ('second regression',\n   [{'decision': 'W', 'empty_net_ga': 2, 'shots_faced': 27, 'team_ga': 2, 'toi_sec': 3600}],\n   {'points': 124, 'saves': 27}),\n  ('normal control 1',\n   [{'decision': 'L', 'empty_net_ga': 0, 'shots_faced': 6, 'team_ga': 0, 'toi_sec': 3540}],\n   {'points': 12, 'saves': 6}),\n  ('normal control 2',\n   [{'decision': 'OTL', 'empty_net_ga': 0, 'shots_faced': 1, 'team_ga': 1, 'toi_sec': 2400}],\n   {'points': -10, 'saves': 0}),\n  ('normal control 3',\n   [{'decision': 'W', 'empty_net_ga': 1, 'shots_faced': 18, 'team_ga': 6, 'toi_sec': 3900}],\n   {'points': -34, 'saves': 13}),\n  ('normal control 4',\n   [{'decision': 'W', 'empty_net_ga': 1, 'shots_faced': 15, 'team_ga': 3, 'toi_sec': 2400}],\n   {'points': 26, 'saves': 13})],\n [('regression: shutout playing time',\n   [{'decision': 'OTL', 'empty_net_ga': 2, 'shots_faced': 16, 'team_ga': 2, 'toi_sec': 3600}],\n   {'points': 72, 'saves': 16}),\n  ('partial repair probe: shutout playing time',\n   [{'decision': 'OTL', 'empty_net_ga': 0, 'shots_faced': 38, 'team_ga': 0, 'toi_sec': 3600}],\n   {'points': 116, 'saves': 38}),\n  ('second regression',\n   [{'decision': 'W', 'empty_net_ga': 0, 'shots_faced': 23, 'team_ga': 0, 'toi_sec': 3600}],\n   {'points': 116, 'saves': 23}),\n  ('normal control 1',\n   [{'decision': None, 'empty_net_ga': 0, 'shots_faced': 34, 'team_ga': 3, 'toi_sec': 3600}],\n   {'points': 2, 'saves': 31}),\n  ('normal control 2',\n   [{'decision': None, 'empty_net_ga': 1, 'shots_faced': 26, 'team_ga': 3, 'toi_sec': 3600}],\n   {'points': 8, 'saves': 24}),\n  ('normal control 3',\n   [{'decision': 'OTL', 'empty_net_ga': 0, 'shots_faced': 24, 'team_ga': 2, 'toi_sec': 2400}],\n   {'points': 14, 'saves': 22}),\n  ('normal control 4',\n   [{'decision': 'L', 'empty_net_ga': 1, 'shots_faced': 35, 'team_ga': 1, 'toi_sec': 3283}],\n   {'points': 70, 'saves': 35})],\n [('regression: shutout playing time',\n   [{'decision': None, 'empty_net_ga': 1, 'shots_faced': 10, 'team_ga': 1, 'toi_sec': 3600}],\n   {'points': 50, 'saves': 10}),\n  ('partial repair probe: shutout playing time',\n   [{'decision': None, 'empty_net_ga': 2, 'shots_faced': 9, 'team_ga': 2, 'toi_sec': 3900}],\n   {'points': 48, 'saves': 9}),\n  ('second regression',\n   [{'decision': 'OTL', 'empty_net_ga': 1, 'shots_faced': 31, 'team_ga': 1, 'toi_sec': 3600}],\n   {'points': 102, 'saves': 31}),\n  ('normal control 1',\n   [{'decision': 'OTL', 'empty_net_ga': 1, 'shots_faced': 6, 'team_ga': 6, 'toi_sec': 681}],\n   {'points': -88, 'saves': 1}),\n  ('normal control 2',\n   [{'decision': 'L', 'empty_net_ga': 1, 'shots_faced': 35, 'team_ga': 4, 'toi_sec': 3540}],\n   {'points': 4, 'saves': 32}),\n  ('normal control 3',\n   [{'decision': None, 'empty_net_ga': 2, 'shots_faced': 19, 'team_ga': 5, 'toi_sec': 3900}],\n   {'points': -28, 'saves': 16}),\n  ('normal control 4',\n   [{'decision': 'W', 'empty_net_ga': 0, 'shots_faced': 29, 'team_ga': 5, 'toi_sec': 3600}],\n   {'points': -12, 'saves': 24})],\n [('regression: shutout playing time',\n   [{'decision': 'L', 'empty_net_ga': 1, 'shots_faced': 21, 'team_ga': 1, 'toi_sec': 3600}],\n   {'points': 72, 'saves': 21}),\n  ('partial repair probe: shutout playing time',\n   [{'decision': None, 'empty_net_ga': 0, 'shots_faced': 20, 'team_ga': 0, 'toi_sec': 3600}],\n   {'points': 70, 'saves': 20}),\n  ('second regression',\n   [{'decision': 'L', 'empty_net_ga': 1, 'shots_faced': 22, 'team_ga': 1, 'toi_sec': 3600}],\n   {'points': 74, 'saves': 22}),\n  ('normal control 1',\n   [{'decision': None, 'empty_net_ga': 1, 'shots_faced': 10, 'team_ga': 6, 'toi_sec': 3900}],\n   {'points': -90, 'saves': 5}),\n  ('normal control 2',\n   [{'decision': 'L', 'empty_net_ga': 1, 'shots_faced': 20, 'team_ga': 2, 'toi_sec': 3600}],\n   {'points': 18, 'saves': 19}),\n  ('normal control 3',\n   [{'decision': 'L', 'empty_net_ga': 0, 'shots_faced': 27, 'team_ga': 0, 'toi_sec': 2400}],\n   {'points': 54, 'saves': 27}),\n  ('normal control 4',\n   [{'decision': None, 'empty_net_ga': 2, 'shots_faced': 18, 'team_ga': 4, 'toi_sec': 3600}],\n   {'points': -8, 'saves': 16})]]\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-goalie-line-shutout-playing-time","generated_at":"2026-09-29T14:50:37.729373+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Goalie scoring depends on attribution of empty-net goals and on playing-time conditions for shutouts.","repair":"Require at least 3600 seconds on ice.","root_cause":"The shutout time requirement uses strictly greater than 3600 seconds.","sha256":"d858250df40eab24803c6e3aed8c5b0041f042195e9427289f8434dc8af8797f","title":"Exactly sixty minutes on ice misses the shutout · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":39.799,"exit_code":1,"observations":[{"actual":{"points":6,"saves":3},"check":"regression: shutout playing time","expected":{"points":36,"saves":3},"passed":false},{"actual":{"points":28,"saves":9},"check":"partial repair probe: shutout playing time","expected":{"points":58,"saves":9},"passed":false},{"actual":{"points":46,"saves":23},"check":"second regression","expected":{"points":76,"saves":23},"passed":false},{"actual":{"points":18,"saves":14},"check":"normal control 1","expected":{"points":18,"saves":14},"passed":true},{"actual":{"points":-16,"saves":22},"check":"normal control 2","expected":{"points":-16,"saves":22},"passed":true},{"actual":{"points":28,"saves":39},"check":"normal control 3","expected":{"points":28,"saves":39},"passed":true},{"actual":{"points":8,"saves":24},"check":"normal control 4","expected":{"points":8,"saves":24},"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: shutout playing time\", \"actual\": {\"saves\": 3, \"points\": 6}, \"expected\": {\"points\": 36, \"saves\": 3}, \"passed\": false}, {\"check\": \"partial repair probe: shutout playing time\", \"actual\": {\"saves\": 9, \"points\": 28}, \"expected\": {\"points\": 58, \"saves\": 9}, \"passed\": false}, {\"check\": \"second regression\", \"actual\": {\"saves\": 23, \"points\": 46}, \"expected\": {\"points\": 76, \"saves\": 23}, \"passed\": false}, {\"check\": \"normal control 1\", \"actual\": {\"saves\": 14, \"points\": 18}, \"expected\": {\"points\": 18, \"saves\": 14}, \"passed\": true}, {\"check\": \"normal control 2\", \"actual\": {\"saves\": 22, \"points\": -16}, \"expected\": {\"points\": -16, \"saves\": 22}, \"passed\": true}, {\"check\": \"normal control 3\", \"actual\": {\"saves\": 39, \"points\": 28}, \"expected\": {\"points\": 28, \"saves\": 39}, \"passed\": true}, {\"check\": \"normal control 4\", \"actual\": {\"saves\": 24, \"points\": 8}, \"expected\": {\"points\": 8, \"saves\": 24}, \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":38.292,"exit_code":1,"observations":[{"actual":{"points":6,"saves":3},"check":"regression: shutout playing time","expected":{"points":36,"saves":3},"passed":false},{"actual":{"points":28,"saves":9},"check":"partial repair probe: shutout playing time","expected":{"points":58,"saves":9},"passed":false},{"actual":{"points":46,"saves":23},"check":"second regression","expected":{"points":76,"saves":23},"passed":false},{"actual":{"points":18,"saves":14},"check":"normal control 1","expected":{"points":18,"saves":14},"passed":true},{"actual":{"points":-16,"saves":22},"check":"normal control 2","expected":{"points":-16,"saves":22},"passed":true},{"actual":{"points":28,"saves":39},"check":"normal control 3","expected":{"points":28,"saves":39},"passed":true},{"actual":{"points":8,"saves":24},"check":"normal control 4","expected":{"points":8,"saves":24},"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: shutout playing time\", \"actual\": {\"saves\": 3, \"points\": 6}, \"expected\": {\"points\": 36, \"saves\": 3}, \"passed\": false}, {\"check\": \"partial repair probe: shutout playing time\", \"actual\": {\"saves\": 9, \"points\": 28}, \"expected\": {\"points\": 58, \"saves\": 9}, \"passed\": false}, {\"check\": \"second regression\", \"actual\": {\"saves\": 23, \"points\": 46}, \"expected\": {\"points\": 76, \"saves\": 23}, \"passed\": false}, {\"check\": \"normal control 1\", \"actual\": {\"saves\": 14, \"points\": 18}, \"expected\": {\"points\": 18, \"saves\": 14}, \"passed\": true}, {\"check\": \"normal control 2\", \"actual\": {\"saves\": 22, \"points\": -16}, \"expected\": {\"points\": -16, \"saves\": 22}, \"passed\": true}, {\"check\": \"normal control 3\", \"actual\": {\"saves\": 39, \"points\": 28}, \"expected\": {\"points\": 28, \"saves\": 39}, \"passed\": true}, {\"check\": \"normal control 4\", \"actual\": {\"saves\": 24, \"points\": 8}, \"expected\": {\"points\": 8, \"saves\": 24}, \"passed\": true}], \"passed\": false}\n"},"fixed":{"elapsed_ms":38.23,"exit_code":0,"observations":[{"actual":{"points":36,"saves":3},"check":"regression: shutout playing time","expected":{"points":36,"saves":3},"passed":true},{"actual":{"points":58,"saves":9},"check":"partial repair probe: shutout playing time","expected":{"points":58,"saves":9},"passed":true},{"actual":{"points":76,"saves":23},"check":"second regression","expected":{"points":76,"saves":23},"passed":true},{"actual":{"points":18,"saves":14},"check":"normal control 1","expected":{"points":18,"saves":14},"passed":true},{"actual":{"points":-16,"saves":22},"check":"normal control 2","expected":{"points":-16,"saves":22},"passed":true},{"actual":{"points":28,"saves":39},"check":"normal control 3","expected":{"points":28,"saves":39},"passed":true},{"actual":{"points":8,"saves":24},"check":"normal control 4","expected":{"points":8,"saves":24},"passed":true}],"passed":true,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: shutout playing time\", \"actual\": {\"saves\": 3, \"points\": 36}, \"expected\": {\"points\": 36, \"saves\": 3}, \"passed\": true}, {\"check\": \"partial repair probe: shutout playing time\", \"actual\": {\"saves\": 9, \"points\": 58}, \"expected\": {\"points\": 58, \"saves\": 9}, \"passed\": true}, {\"check\": \"second regression\", \"actual\": {\"saves\": 23, \"points\": 76}, \"expected\": {\"points\": 76, \"saves\": 23}, \"passed\": true}, {\"check\": \"normal control 1\", \"actual\": {\"saves\": 14, \"points\": 18}, \"expected\": {\"points\": 18, \"saves\": 14}, \"passed\": true}, {\"check\": \"normal control 2\", \"actual\": {\"saves\": 22, \"points\": -16}, \"expected\": {\"points\": -16, \"saves\": 22}, \"passed\": true}, {\"check\": \"normal control 3\", \"actual\": {\"saves\": 39, \"points\": 28}, \"expected\": {\"points\": 28, \"saves\": 39}, \"passed\": true}, {\"check\": \"normal control 4\", \"actual\": {\"saves\": 24, \"points\": 8}, \"expected\": {\"points\": 8, \"saves\": 24}, \"passed\": true}], \"passed\": true}\n"}},"verified":true,"visibility":"public"}