{"abstract":"A quarterback of the power play with three PP assists gets no extra points.","category":"Fantasy sports scoring","checks":7,"contract":"Score a hockey skater in tenths: goal 3, assist 2, plus/minus 1 per unit (negative allowed), shot on goal 0.4, power-play points (goals plus assists) 0.5 extra each, short-handed points 1 extra each, and a single 2 point hat-trick bonus for three or more goals. Shootout goals (so_g) are not goals and score nothing.","evaluation_group":"w2-fantasy-sports-scoring-skater-line","failed_approach":"Halving power-play assists still undercounts them.","family":"w2-fantasy-sports-scoring-skater-line-power-play-points","id":"FA-85161","implementations":{"attempt":{"sha256":"d3a7b8bd42d36f360043e89deca98e90caae142342df2986be36992c4f767d26","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(g):\n    pts = g['g'] * 30 + g['a'] * 20 + g['pm'] * 10 + g['sog'] * 4\n    pts += (g['ppg'] + g['ppa'] // 2) * 5\n    pts += (g['shg'] + g['sha']) * 10\n    if g['g'] >= 3:\n        pts += 20\n    return pts\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: power-play points',\n   [{'a': 0, 'g': 4, 'pm': -1, 'ppa': 1, 'ppg': 2, 'sha': 1, 'shg': 2, 'so_g': 0, 'sog': 5}], 195),\n  ('partial repair probe: power-play points',\n   [{'a': 3, 'g': 0, 'pm': -1, 'ppa': 1, 'ppg': 0, 'sha': 0, 'shg': 0, 'so_g': 0, 'sog': 5}], 75),\n  ('second regression',\n   [{'a': 1, 'g': 3, 'pm': -2, 'ppa': 2, 'ppg': 1, 'sha': 0, 'shg': 2, 'so_g': 0, 'sog': 8}], 177),\n  ('normal control 1',\n   [{'a': 3, 'g': 4, 'pm': -2, 'ppa': 0, 'ppg': 1, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 5}], 205),\n  ('normal control 2',\n   [{'a': 2, 'g': 3, 'pm': 1, 'ppa': 0, 'ppg': 1, 'sha': 0, 'shg': 1, 'so_g': 1, 'sog': 5}], 195),\n  ('normal control 3',\n   [{'a': 0, 'g': 3, 'pm': -2, 'ppa': 0, 'ppg': 2, 'sha': 0, 'shg': 1, 'so_g': 0, 'sog': 3}], 122),\n  ('normal control 4',\n   [{'a': 1, 'g': 3, 'pm': 0, 'ppa': 0, 'ppg': 3, 'sha': 1, 'shg': 0, 'so_g': 1, 'sog': 6}], 179)],\n [('regression: power-play points',\n   [{'a': 0, 'g': 1, 'pm': -2, 'ppa': 2, 'ppg': 0, 'sha': 1, 'shg': 0, 'so_g': 0, 'sog': 1}], 34),\n  ('partial repair probe: power-play points',\n   [{'a': 2, 'g': 2, 'pm': 3, 'ppa': 1, 'ppg': 0, 'sha': 0, 'shg': 1, 'so_g': 0, 'sog': 5}], 165),\n  ('second regression',\n   [{'a': 2, 'g': 3, 'pm': -1, 'ppa': 1, 'ppg': 2, 'sha': 0, 'shg': 0, 'so_g': 0, 'sog': 3}], 167),\n  ('normal control 1',\n   [{'a': 3, 'g': 1, 'pm': 0, 'ppa': 0, 'ppg': 0, 'sha': 1, 'shg': 0, 'so_g': 0, 'sog': 6}], 124),\n  ('normal control 2',\n   [{'a': 2, 'g': 3, 'pm': 2, 'ppa': 0, 'ppg': 3, 'sha': 0, 'shg': 0, 'so_g': 0, 'sog': 5}], 205),\n  ('normal control 3',\n   [{'a': 0, 'g': 3, 'pm': -2, 'ppa': 0, 'ppg': 2, 'sha': 1, 'shg': 0, 'so_g': 1, 'sog': 7}], 138),\n  ('normal control 4',\n   [{'a': 0, 'g': 3, 'pm': 0, 'ppa': 0, 'ppg': 0, 'sha': 0, 'shg': 1, 'so_g': 0, 'sog': 3}], 132)],\n [('regression: power-play points',\n   [{'a': 2, 'g': 3, 'pm': -3, 'ppa': 1, 'ppg': 3, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 5}], 160),\n  ('partial repair probe: power-play points',\n   [{'a': 1, 'g': 2, 'pm': 2, 'ppa': 2, 'ppg': 2, 'sha': 1, 'shg': 0, 'so_g': 1, 'sog': 7}], 158),\n  ('second regression',\n   [{'a': 1, 'g': 0, 'pm': -1, 'ppa': 1, 'ppg': 0, 'sha': 0, 'shg': 0, 'so_g': 0, 'sog': 0}], 15),\n  ('normal control 1',\n   [{'a': 1, 'g': 4, 'pm': -1, 'ppa': 0, 'ppg': 4, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 5}], 190),\n  ('normal control 2',\n   [{'a': 1, 'g': 0, 'pm': 3, 'ppa': 0, 'ppg': 0, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 1}], 54),\n  ('normal control 3',\n   [{'a': 3, 'g': 1, 'pm': 3, 'ppa': 0, 'ppg': 0, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 4}], 136),\n  ('normal control 4',\n   [{'a': 2, 'g': 4, 'pm': 0, 'ppa': 0, 'ppg': 1, 'sha': 0, 'shg': 3, 'so_g': 0, 'sog': 4}], 231)],\n [('regression: power-play points',\n   [{'a': 3, 'g': 0, 'pm': 1, 'ppa': 2, 'ppg': 0, 'sha': 1, 'shg': 0, 'so_g': 0, 'sog': 1}], 94),\n  ('partial repair probe: power-play points',\n   [{'a': 0, 'g': 2, 'pm': -1, 'ppa': 2, 'ppg': 1, 'sha': 0, 'shg': 1, 'so_g': 1, 'sog': 3}], 87),\n  ('second regression',\n   [{'a': 0, 'g': 1, 'pm': -2, 'ppa': 1, 'ppg': 0, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 7}], 43),\n  ('normal control 1',\n   [{'a': 2, 'g': 0, 'pm': -2, 'ppa': 0, 'ppg': 0, 'sha': 1, 'shg': 0, 'so_g': 0, 'sog': 2}], 38),\n  ('normal control 2',\n   [{'a': 3, 'g': 3, 'pm': 0, 'ppa': 0, 'ppg': 3, 'sha': 1, 'shg': 0, 'so_g': 0, 'sog': 6}], 219),\n  ('normal control 3',\n   [{'a': 1, 'g': 1, 'pm': 2, 'ppa': 0, 'ppg': 1, 'sha': 0, 'shg': 0, 'so_g': 0, 'sog': 3}], 87),\n  ('normal control 4',\n   [{'a': 2, 'g': 2, 'pm': 3, 'ppa': 0, 'ppg': 0, 'sha': 1, 'shg': 2, 'so_g': 0, 'sog': 7}], 188)],\n [('regression: power-play points',\n   [{'a': 0, 'g': 0, 'pm': -2, 'ppa': 2, 'ppg': 0, 'sha': 1, 'shg': 0, 'so_g': 1, 'sog': 0}], 0),\n  ('partial repair probe: power-play points',\n   [{'a': 1, 'g': 3, 'pm': 0, 'ppa': 1, 'ppg': 2, 'sha': 0, 'shg': 1, 'so_g': 1, 'sog': 4}], 171),\n  ('second regression',\n   [{'a': 0, 'g': 4, 'pm': -3, 'ppa': 2, 'ppg': 4, 'sha': 1, 'shg': 0, 'so_g': 0, 'sog': 5}], 170),\n  ('normal control 1',\n   [{'a': 3, 'g': 3, 'pm': -2, 'ppa': 0, 'ppg': 1, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 6}], 179),\n  ('normal control 2',\n   [{'a': 0, 'g': 2, 'pm': 1, 'ppa': 0, 'ppg': 1, 'sha': 1, 'shg': 1, 'so_g': 1, 'sog': 8}], 127),\n  ('normal control 3',\n   [{'a': 0, 'g': 3, 'pm': -2, 'ppa': 0, 'ppg': 2, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 5}], 120),\n  ('normal control 4',\n   [{'a': 3, 'g': 0, 'pm': -2, 'ppa': 0, 'ppg': 0, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 3}], 52)]]\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":"664cba27c925d53de60cee9e72c1a9e77ea9cc29f3d8386b23fda85b6c17fded","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(g):\n    pts = g['g'] * 30 + g['a'] * 20 + g['pm'] * 10 + g['sog'] * 4\n    pts += g['ppg'] * 5\n    pts += (g['shg'] + g['sha']) * 10\n    if g['g'] >= 3:\n        pts += 20\n    return pts\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: power-play points',\n   [{'a': 0, 'g': 4, 'pm': -1, 'ppa': 1, 'ppg': 2, 'sha': 1, 'shg': 2, 'so_g': 0, 'sog': 5}], 195),\n  ('partial repair probe: power-play points',\n   [{'a': 3, 'g': 0, 'pm': -1, 'ppa': 1, 'ppg': 0, 'sha': 0, 'shg': 0, 'so_g': 0, 'sog': 5}], 75),\n  ('second regression',\n   [{'a': 1, 'g': 3, 'pm': -2, 'ppa': 2, 'ppg': 1, 'sha': 0, 'shg': 2, 'so_g': 0, 'sog': 8}], 177),\n  ('normal control 1',\n   [{'a': 3, 'g': 4, 'pm': -2, 'ppa': 0, 'ppg': 1, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 5}], 205),\n  ('normal control 2',\n   [{'a': 2, 'g': 3, 'pm': 1, 'ppa': 0, 'ppg': 1, 'sha': 0, 'shg': 1, 'so_g': 1, 'sog': 5}], 195),\n  ('normal control 3',\n   [{'a': 0, 'g': 3, 'pm': -2, 'ppa': 0, 'ppg': 2, 'sha': 0, 'shg': 1, 'so_g': 0, 'sog': 3}], 122),\n  ('normal control 4',\n   [{'a': 1, 'g': 3, 'pm': 0, 'ppa': 0, 'ppg': 3, 'sha': 1, 'shg': 0, 'so_g': 1, 'sog': 6}], 179)],\n [('regression: power-play points',\n   [{'a': 0, 'g': 1, 'pm': -2, 'ppa': 2, 'ppg': 0, 'sha': 1, 'shg': 0, 'so_g': 0, 'sog': 1}], 34),\n  ('partial repair probe: power-play points',\n   [{'a': 2, 'g': 2, 'pm': 3, 'ppa': 1, 'ppg': 0, 'sha': 0, 'shg': 1, 'so_g': 0, 'sog': 5}], 165),\n  ('second regression',\n   [{'a': 2, 'g': 3, 'pm': -1, 'ppa': 1, 'ppg': 2, 'sha': 0, 'shg': 0, 'so_g': 0, 'sog': 3}], 167),\n  ('normal control 1',\n   [{'a': 3, 'g': 1, 'pm': 0, 'ppa': 0, 'ppg': 0, 'sha': 1, 'shg': 0, 'so_g': 0, 'sog': 6}], 124),\n  ('normal control 2',\n   [{'a': 2, 'g': 3, 'pm': 2, 'ppa': 0, 'ppg': 3, 'sha': 0, 'shg': 0, 'so_g': 0, 'sog': 5}], 205),\n  ('normal control 3',\n   [{'a': 0, 'g': 3, 'pm': -2, 'ppa': 0, 'ppg': 2, 'sha': 1, 'shg': 0, 'so_g': 1, 'sog': 7}], 138),\n  ('normal control 4',\n   [{'a': 0, 'g': 3, 'pm': 0, 'ppa': 0, 'ppg': 0, 'sha': 0, 'shg': 1, 'so_g': 0, 'sog': 3}], 132)],\n [('regression: power-play points',\n   [{'a': 2, 'g': 3, 'pm': -3, 'ppa': 1, 'ppg': 3, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 5}], 160),\n  ('partial repair probe: power-play points',\n   [{'a': 1, 'g': 2, 'pm': 2, 'ppa': 2, 'ppg': 2, 'sha': 1, 'shg': 0, 'so_g': 1, 'sog': 7}], 158),\n  ('second regression',\n   [{'a': 1, 'g': 0, 'pm': -1, 'ppa': 1, 'ppg': 0, 'sha': 0, 'shg': 0, 'so_g': 0, 'sog': 0}], 15),\n  ('normal control 1',\n   [{'a': 1, 'g': 4, 'pm': -1, 'ppa': 0, 'ppg': 4, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 5}], 190),\n  ('normal control 2',\n   [{'a': 1, 'g': 0, 'pm': 3, 'ppa': 0, 'ppg': 0, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 1}], 54),\n  ('normal control 3',\n   [{'a': 3, 'g': 1, 'pm': 3, 'ppa': 0, 'ppg': 0, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 4}], 136),\n  ('normal control 4',\n   [{'a': 2, 'g': 4, 'pm': 0, 'ppa': 0, 'ppg': 1, 'sha': 0, 'shg': 3, 'so_g': 0, 'sog': 4}], 231)],\n [('regression: power-play points',\n   [{'a': 3, 'g': 0, 'pm': 1, 'ppa': 2, 'ppg': 0, 'sha': 1, 'shg': 0, 'so_g': 0, 'sog': 1}], 94),\n  ('partial repair probe: power-play points',\n   [{'a': 0, 'g': 2, 'pm': -1, 'ppa': 2, 'ppg': 1, 'sha': 0, 'shg': 1, 'so_g': 1, 'sog': 3}], 87),\n  ('second regression',\n   [{'a': 0, 'g': 1, 'pm': -2, 'ppa': 1, 'ppg': 0, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 7}], 43),\n  ('normal control 1',\n   [{'a': 2, 'g': 0, 'pm': -2, 'ppa': 0, 'ppg': 0, 'sha': 1, 'shg': 0, 'so_g': 0, 'sog': 2}], 38),\n  ('normal control 2',\n   [{'a': 3, 'g': 3, 'pm': 0, 'ppa': 0, 'ppg': 3, 'sha': 1, 'shg': 0, 'so_g': 0, 'sog': 6}], 219),\n  ('normal control 3',\n   [{'a': 1, 'g': 1, 'pm': 2, 'ppa': 0, 'ppg': 1, 'sha': 0, 'shg': 0, 'so_g': 0, 'sog': 3}], 87),\n  ('normal control 4',\n   [{'a': 2, 'g': 2, 'pm': 3, 'ppa': 0, 'ppg': 0, 'sha': 1, 'shg': 2, 'so_g': 0, 'sog': 7}], 188)],\n [('regression: power-play points',\n   [{'a': 0, 'g': 0, 'pm': -2, 'ppa': 2, 'ppg': 0, 'sha': 1, 'shg': 0, 'so_g': 1, 'sog': 0}], 0),\n  ('partial repair probe: power-play points',\n   [{'a': 1, 'g': 3, 'pm': 0, 'ppa': 1, 'ppg': 2, 'sha': 0, 'shg': 1, 'so_g': 1, 'sog': 4}], 171),\n  ('second regression',\n   [{'a': 0, 'g': 4, 'pm': -3, 'ppa': 2, 'ppg': 4, 'sha': 1, 'shg': 0, 'so_g': 0, 'sog': 5}], 170),\n  ('normal control 1',\n   [{'a': 3, 'g': 3, 'pm': -2, 'ppa': 0, 'ppg': 1, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 6}], 179),\n  ('normal control 2',\n   [{'a': 0, 'g': 2, 'pm': 1, 'ppa': 0, 'ppg': 1, 'sha': 1, 'shg': 1, 'so_g': 1, 'sog': 8}], 127),\n  ('normal control 3',\n   [{'a': 0, 'g': 3, 'pm': -2, 'ppa': 0, 'ppg': 2, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 5}], 120),\n  ('normal control 4',\n   [{'a': 3, 'g': 0, 'pm': -2, 'ppa': 0, 'ppg': 0, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 3}], 52)]]\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":"a5341f67f017f86ea63a47ee18b743c6935f8f2e3884bfb4582fe552962004f4","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(g):\n    pts = g['g'] * 30 + g['a'] * 20 + g['pm'] * 10 + g['sog'] * 4\n    pts += (g['ppg'] + g['ppa']) * 5\n    pts += (g['shg'] + g['sha']) * 10\n    if g['g'] >= 3:\n        pts += 20\n    return pts\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: power-play points',\n   [{'a': 0, 'g': 4, 'pm': -1, 'ppa': 1, 'ppg': 2, 'sha': 1, 'shg': 2, 'so_g': 0, 'sog': 5}], 195),\n  ('partial repair probe: power-play points',\n   [{'a': 3, 'g': 0, 'pm': -1, 'ppa': 1, 'ppg': 0, 'sha': 0, 'shg': 0, 'so_g': 0, 'sog': 5}], 75),\n  ('second regression',\n   [{'a': 1, 'g': 3, 'pm': -2, 'ppa': 2, 'ppg': 1, 'sha': 0, 'shg': 2, 'so_g': 0, 'sog': 8}], 177),\n  ('normal control 1',\n   [{'a': 3, 'g': 4, 'pm': -2, 'ppa': 0, 'ppg': 1, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 5}], 205),\n  ('normal control 2',\n   [{'a': 2, 'g': 3, 'pm': 1, 'ppa': 0, 'ppg': 1, 'sha': 0, 'shg': 1, 'so_g': 1, 'sog': 5}], 195),\n  ('normal control 3',\n   [{'a': 0, 'g': 3, 'pm': -2, 'ppa': 0, 'ppg': 2, 'sha': 0, 'shg': 1, 'so_g': 0, 'sog': 3}], 122),\n  ('normal control 4',\n   [{'a': 1, 'g': 3, 'pm': 0, 'ppa': 0, 'ppg': 3, 'sha': 1, 'shg': 0, 'so_g': 1, 'sog': 6}], 179)],\n [('regression: power-play points',\n   [{'a': 0, 'g': 1, 'pm': -2, 'ppa': 2, 'ppg': 0, 'sha': 1, 'shg': 0, 'so_g': 0, 'sog': 1}], 34),\n  ('partial repair probe: power-play points',\n   [{'a': 2, 'g': 2, 'pm': 3, 'ppa': 1, 'ppg': 0, 'sha': 0, 'shg': 1, 'so_g': 0, 'sog': 5}], 165),\n  ('second regression',\n   [{'a': 2, 'g': 3, 'pm': -1, 'ppa': 1, 'ppg': 2, 'sha': 0, 'shg': 0, 'so_g': 0, 'sog': 3}], 167),\n  ('normal control 1',\n   [{'a': 3, 'g': 1, 'pm': 0, 'ppa': 0, 'ppg': 0, 'sha': 1, 'shg': 0, 'so_g': 0, 'sog': 6}], 124),\n  ('normal control 2',\n   [{'a': 2, 'g': 3, 'pm': 2, 'ppa': 0, 'ppg': 3, 'sha': 0, 'shg': 0, 'so_g': 0, 'sog': 5}], 205),\n  ('normal control 3',\n   [{'a': 0, 'g': 3, 'pm': -2, 'ppa': 0, 'ppg': 2, 'sha': 1, 'shg': 0, 'so_g': 1, 'sog': 7}], 138),\n  ('normal control 4',\n   [{'a': 0, 'g': 3, 'pm': 0, 'ppa': 0, 'ppg': 0, 'sha': 0, 'shg': 1, 'so_g': 0, 'sog': 3}], 132)],\n [('regression: power-play points',\n   [{'a': 2, 'g': 3, 'pm': -3, 'ppa': 1, 'ppg': 3, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 5}], 160),\n  ('partial repair probe: power-play points',\n   [{'a': 1, 'g': 2, 'pm': 2, 'ppa': 2, 'ppg': 2, 'sha': 1, 'shg': 0, 'so_g': 1, 'sog': 7}], 158),\n  ('second regression',\n   [{'a': 1, 'g': 0, 'pm': -1, 'ppa': 1, 'ppg': 0, 'sha': 0, 'shg': 0, 'so_g': 0, 'sog': 0}], 15),\n  ('normal control 1',\n   [{'a': 1, 'g': 4, 'pm': -1, 'ppa': 0, 'ppg': 4, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 5}], 190),\n  ('normal control 2',\n   [{'a': 1, 'g': 0, 'pm': 3, 'ppa': 0, 'ppg': 0, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 1}], 54),\n  ('normal control 3',\n   [{'a': 3, 'g': 1, 'pm': 3, 'ppa': 0, 'ppg': 0, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 4}], 136),\n  ('normal control 4',\n   [{'a': 2, 'g': 4, 'pm': 0, 'ppa': 0, 'ppg': 1, 'sha': 0, 'shg': 3, 'so_g': 0, 'sog': 4}], 231)],\n [('regression: power-play points',\n   [{'a': 3, 'g': 0, 'pm': 1, 'ppa': 2, 'ppg': 0, 'sha': 1, 'shg': 0, 'so_g': 0, 'sog': 1}], 94),\n  ('partial repair probe: power-play points',\n   [{'a': 0, 'g': 2, 'pm': -1, 'ppa': 2, 'ppg': 1, 'sha': 0, 'shg': 1, 'so_g': 1, 'sog': 3}], 87),\n  ('second regression',\n   [{'a': 0, 'g': 1, 'pm': -2, 'ppa': 1, 'ppg': 0, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 7}], 43),\n  ('normal control 1',\n   [{'a': 2, 'g': 0, 'pm': -2, 'ppa': 0, 'ppg': 0, 'sha': 1, 'shg': 0, 'so_g': 0, 'sog': 2}], 38),\n  ('normal control 2',\n   [{'a': 3, 'g': 3, 'pm': 0, 'ppa': 0, 'ppg': 3, 'sha': 1, 'shg': 0, 'so_g': 0, 'sog': 6}], 219),\n  ('normal control 3',\n   [{'a': 1, 'g': 1, 'pm': 2, 'ppa': 0, 'ppg': 1, 'sha': 0, 'shg': 0, 'so_g': 0, 'sog': 3}], 87),\n  ('normal control 4',\n   [{'a': 2, 'g': 2, 'pm': 3, 'ppa': 0, 'ppg': 0, 'sha': 1, 'shg': 2, 'so_g': 0, 'sog': 7}], 188)],\n [('regression: power-play points',\n   [{'a': 0, 'g': 0, 'pm': -2, 'ppa': 2, 'ppg': 0, 'sha': 1, 'shg': 0, 'so_g': 1, 'sog': 0}], 0),\n  ('partial repair probe: power-play points',\n   [{'a': 1, 'g': 3, 'pm': 0, 'ppa': 1, 'ppg': 2, 'sha': 0, 'shg': 1, 'so_g': 1, 'sog': 4}], 171),\n  ('second regression',\n   [{'a': 0, 'g': 4, 'pm': -3, 'ppa': 2, 'ppg': 4, 'sha': 1, 'shg': 0, 'so_g': 0, 'sog': 5}], 170),\n  ('normal control 1',\n   [{'a': 3, 'g': 3, 'pm': -2, 'ppa': 0, 'ppg': 1, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 6}], 179),\n  ('normal control 2',\n   [{'a': 0, 'g': 2, 'pm': 1, 'ppa': 0, 'ppg': 1, 'sha': 1, 'shg': 1, 'so_g': 1, 'sog': 8}], 127),\n  ('normal control 3',\n   [{'a': 0, 'g': 3, 'pm': -2, 'ppa': 0, 'ppg': 2, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 5}], 120),\n  ('normal control 4',\n   [{'a': 3, 'g': 0, 'pm': -2, 'ppa': 0, 'ppg': 0, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 3}], 52)]]\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-skater-line-power-play-points","generated_at":"2026-09-29T14:50:37.890953+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Special-teams extras, plus/minus signs and shootout exclusions are frequent skater scoring defects.","repair":"Count power-play goals plus power-play assists.","root_cause":"Only power-play goals feed the power-play point extra.","sha256":"553de9bfd697166aafddeaa4e9273971f891b6f3e8bd3eb72f72e36db5d3f8d3","title":"Power-play assists earn no power-play extra · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":40.995,"exit_code":1,"observations":[{"actual":190,"check":"regression: power-play points","expected":195,"passed":false},{"actual":70,"check":"partial repair probe: power-play points","expected":75,"passed":false},{"actual":172,"check":"second regression","expected":177,"passed":false},{"actual":205,"check":"normal control 1","expected":205,"passed":true},{"actual":195,"check":"normal control 2","expected":195,"passed":true},{"actual":122,"check":"normal control 3","expected":122,"passed":true},{"actual":179,"check":"normal control 4","expected":179,"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: power-play points\", \"actual\": 190, \"expected\": 195, \"passed\": false}, {\"check\": \"partial repair probe: power-play points\", \"actual\": 70, \"expected\": 75, \"passed\": false}, {\"check\": \"second regression\", \"actual\": 172, \"expected\": 177, \"passed\": false}, {\"check\": \"normal control 1\", \"actual\": 205, \"expected\": 205, \"passed\": true}, {\"check\": \"normal control 2\", \"actual\": 195, \"expected\": 195, \"passed\": true}, {\"check\": \"normal control 3\", \"actual\": 122, \"expected\": 122, \"passed\": true}, {\"check\": \"normal control 4\", \"actual\": 179, \"expected\": 179, \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":40.202,"exit_code":1,"observations":[{"actual":190,"check":"regression: power-play points","expected":195,"passed":false},{"actual":70,"check":"partial repair probe: power-play points","expected":75,"passed":false},{"actual":167,"check":"second regression","expected":177,"passed":false},{"actual":205,"check":"normal control 1","expected":205,"passed":true},{"actual":195,"check":"normal control 2","expected":195,"passed":true},{"actual":122,"check":"normal control 3","expected":122,"passed":true},{"actual":179,"check":"normal control 4","expected":179,"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: power-play points\", \"actual\": 190, \"expected\": 195, \"passed\": false}, {\"check\": \"partial repair probe: power-play points\", \"actual\": 70, \"expected\": 75, \"passed\": false}, {\"check\": \"second regression\", \"actual\": 167, \"expected\": 177, \"passed\": false}, {\"check\": \"normal control 1\", \"actual\": 205, \"expected\": 205, \"passed\": true}, {\"check\": \"normal control 2\", \"actual\": 195, \"expected\": 195, \"passed\": true}, {\"check\": \"normal control 3\", \"actual\": 122, \"expected\": 122, \"passed\": true}, {\"check\": \"normal control 4\", \"actual\": 179, \"expected\": 179, \"passed\": true}], \"passed\": false}\n"},"fixed":{"elapsed_ms":40.63,"exit_code":0,"observations":[{"actual":195,"check":"regression: power-play points","expected":195,"passed":true},{"actual":75,"check":"partial repair probe: power-play points","expected":75,"passed":true},{"actual":177,"check":"second regression","expected":177,"passed":true},{"actual":205,"check":"normal control 1","expected":205,"passed":true},{"actual":195,"check":"normal control 2","expected":195,"passed":true},{"actual":122,"check":"normal control 3","expected":122,"passed":true},{"actual":179,"check":"normal control 4","expected":179,"passed":true}],"passed":true,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: power-play points\", \"actual\": 195, \"expected\": 195, \"passed\": true}, {\"check\": \"partial repair probe: power-play points\", \"actual\": 75, \"expected\": 75, \"passed\": true}, {\"check\": \"second regression\", \"actual\": 177, \"expected\": 177, \"passed\": true}, {\"check\": \"normal control 1\", \"actual\": 205, \"expected\": 205, \"passed\": true}, {\"check\": \"normal control 2\", \"actual\": 195, \"expected\": 195, \"passed\": true}, {\"check\": \"normal control 3\", \"actual\": 122, \"expected\": 122, \"passed\": true}, {\"check\": \"normal control 4\", \"actual\": 179, \"expected\": 179, \"passed\": true}], \"passed\": true}\n"}},"verified":true,"visibility":"public"}