{"abstract":"A worker averaging exactly 48 hours is treated as in breach.","category":"Shift rostering labor rules","checks":8,"contract":"Weeks [worked minutes, excluded leave/sick days]. The reference period needs ref counted weeks: weeks with any excluded day are skipped and replaced by following weeks. If fewer weeks are available, average the counted weeks. Return [counted weeks, floor average, average > limit] or [0, 0, False] when none count.","evaluation_group":"w2-shift-rostering-labor-rules-reference-period-average-hours","failed_approach":"Comparing the total against limit * ref misjudges short records.","family":"w2-shift-rostering-labor-rules-reference-period-average-hours-limit-comparison","id":"FA-94266","implementations":{"attempt":{"sha256":"5e3124dfa9a115450f65f6bda77b3378538c5bb8bcd72ffce90778bc9e9cd1b7","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(weeks, ref, limit):\n    counted = []\n    for m, ex in weeks:\n        if len(counted) == ref:\n            break\n        if ex == 0:\n            counted.append(m)\n    if not counted:\n        return [0, 0, False]\n    avg = sum(counted) // len(counted)\n    return [len(counted), avg, sum(counted) > limit * ref]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: limit comparison 1', [[[2880, 0], [2880, 0], [2880, 0]], 3, 2880], [3, 2880, False]),\n  ('regression variant: limit comparison 2', [[[2880, 0], [2881, 0], [3300, 3], [2880, 1]], 5, 2880],\n   [2, 2880, False]),\n  ('partial repair guard 3', [[[3300, 0], [0, 1], [3000, 0]], 5, 2880], [2, 3150, True]),\n  ('boundary control 4', [[[2000, 1], [3000, 0]], 3, 2880], [1, 3000, True]),\n  ('normal control 5', [[[0, 0], [2880, 0], [3000, 3], [3300, 0]], 3, 2880], [3, 2060, False]),\n  ('normal control 6', [[[0, 0], [2400, 0], [0, 1], [2881, 3]], 5, 2880], [2, 1200, False]),\n  ('normal control 7', [[[2881, 5], [2400, 3], [2881, 1], [0, 5]], 4, 2880], [0, 0, False]),\n  ('normal control 8', [[[0, 3], [1800, 0], [0, 7], [2880, 3], [1800, 7]], 4, 2880], [1, 1800, False])],\n [('regression: limit comparison 1',\n   [[[0, 1], [2880, 0], [2880, 0], [0, 5], [1800, 3], [2400, 7], [3000, 1], [2881, 7], [2880, 5]], 3, 2880],\n   [2, 2880, False]),\n  ('regression variant: limit comparison 2', [[[2881, 0], [3300, 7], [2880, 0]], 5, 2880], [2, 2880, False]),\n  ('partial repair guard 3', [[[3300, 0], [1800, 3], [0, 5]], 3, 2880], [1, 3300, True]),\n  ('boundary control 4', [[[3000, 0], [1000, 2], [3000, 0], [3000, 0]], 3, 2880], [3, 3000, True]),\n  ('boundary control 5', [[[2000, 1], [3000, 0]], 3, 2880], [1, 3000, True]),\n  ('normal control 6',\n   [[[3300, 0], [3300, 5], [2881, 1], [2881, 0], [2881, 0], [2400, 1], [2400, 3], [0, 5]], 4, 2880],\n   [3, 3020, True]),\n  ('normal control 7', [[[2400, 3], [2400, 0], [3300, 1], [3300, 0], [1800, 1]], 5, 2880], [2, 2850, False]),\n  ('normal control 8',\n   [[[3300, 7], [3300, 1], [2881, 0], [0, 7], [1800, 7], [1800, 0], [0, 3], [3300, 0]], 3, 2880],\n   [3, 2660, False])],\n [('regression: limit comparison 1', [[[2881, 0], [3300, 7], [2880, 0]], 5, 2880], [2, 2880, False]),\n  ('regression variant: limit comparison 2',\n   [[[1800, 3], [3000, 5], [2880, 0], [3000, 1], [1800, 5], [2880, 1]], 5, 2880], [1, 2880, False]),\n  ('partial repair guard 3', [[[3300, 0], [3300, 0], [2880, 0], [2400, 3], [2400, 7]], 4, 2880],\n   [3, 3160, True]),\n  ('boundary control 4', [[[3000, 0], [0, 7], [2800, 0], [2900, 0]], 3, 2880], [3, 2900, True]),\n  ('boundary control 5', [[[3000, 0], [1000, 2], [3000, 0], [3000, 0]], 3, 2880], [3, 3000, True]),\n  ('normal control 6', [[[3000, 5], [2881, 1], [3000, 0], [3000, 5], [2881, 0]], 5, 2880], [2, 2940, True]),\n  ('normal control 7',\n   [[[3000, 0], [2400, 0], [3000, 0], [2880, 0], [2880, 7], [3300, 1], [0, 1], [2400, 5], [3300, 7]], 4,\n    2880],\n   [4, 2820, False]),\n  ('normal control 8', [[[1800, 0], [3300, 3], [1800, 7], [2880, 0]], 5, 2880], [2, 2340, False])],\n [('regression: limit comparison 1', [[[0, 7], [2880, 0], [2880, 1]], 5, 2880], [1, 2880, False]),\n  ('regression variant: limit comparison 2',\n   [[[0, 1], [2880, 0], [2880, 0], [0, 5], [1800, 3], [2400, 7], [3000, 1], [2881, 7], [2880, 5]], 3, 2880],\n   [2, 2880, False]),\n  ('partial repair guard 3', [[[3300, 5], [3000, 7], [2880, 1], [2881, 0], [3300, 0]], 5, 2880],\n   [2, 3090, True]),\n  ('boundary control 4', [[[2880, 0], [2880, 0], [2880, 0]], 3, 2880], [3, 2880, False]),\n  ('boundary control 5', [[[3000, 0], [0, 7], [2800, 0], [2900, 0]], 3, 2880], [3, 2900, True]),\n  ('normal control 6',\n   [[[3000, 5], [2400, 0], [3300, 0], [3300, 1], [1800, 3], [3300, 7], [2880, 5], [0, 3]], 4, 2880],\n   [2, 2850, False]),\n  ('normal control 7', [[[3000, 5], [3000, 1], [1800, 7], [2881, 0], [0, 5]], 4, 2880], [1, 2881, True]),\n  ('normal control 8', [[[2880, 1], [3300, 0], [3300, 3], [2881, 7], [0, 5]], 3, 2880], [1, 3300, True])],\n [('regression: limit comparison 1', [[[2400, 7], [0, 1], [3000, 3], [2880, 0]], 3, 2880], [1, 2880, False]),\n  ('regression variant: limit comparison 2', [[[2881, 7], [2880, 0], [2400, 3], [2880, 3]], 3, 2880],\n   [1, 2880, False]),\n  ('partial repair guard 3', [[[3000, 3], [2881, 0], [3300, 5], [2400, 5], [2881, 3]], 3, 2880],\n   [1, 2881, True]),\n  ('boundary control 4', [[[2000, 1], [3000, 0]], 3, 2880], [1, 3000, True]),\n  ('boundary control 5', [[[2880, 0], [2880, 0], [2880, 0]], 3, 2880], [3, 2880, False]),\n  ('normal control 6', [[[3000, 0], [3300, 5], [0, 3]], 4, 2880], [1, 3000, True]),\n  ('normal control 7', [[[2881, 0], [2400, 1], [0, 0], [3300, 7], [3000, 1], [2881, 5], [2881, 1]], 4, 2880],\n   [2, 1440, False]),\n  ('normal control 8', [[[0, 7], [1800, 7], [2400, 0], [2400, 7], [2400, 0], [1800, 5], [2400, 5]], 5, 2880],\n   [2, 2400, False])]]\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":"dc025bf0c6ea1cf35ac5b133f9c1dce41d29c5bc351214696b46b10cf23975d1","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(weeks, ref, limit):\n    counted = []\n    for m, ex in weeks:\n        if len(counted) == ref:\n            break\n        if ex == 0:\n            counted.append(m)\n    if not counted:\n        return [0, 0, False]\n    avg = sum(counted) // len(counted)\n    return [len(counted), avg, avg >= limit]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: limit comparison 1', [[[2880, 0], [2880, 0], [2880, 0]], 3, 2880], [3, 2880, False]),\n  ('regression variant: limit comparison 2', [[[2880, 0], [2881, 0], [3300, 3], [2880, 1]], 5, 2880],\n   [2, 2880, False]),\n  ('partial repair guard 3', [[[3300, 0], [0, 1], [3000, 0]], 5, 2880], [2, 3150, True]),\n  ('boundary control 4', [[[2000, 1], [3000, 0]], 3, 2880], [1, 3000, True]),\n  ('normal control 5', [[[0, 0], [2880, 0], [3000, 3], [3300, 0]], 3, 2880], [3, 2060, False]),\n  ('normal control 6', [[[0, 0], [2400, 0], [0, 1], [2881, 3]], 5, 2880], [2, 1200, False]),\n  ('normal control 7', [[[2881, 5], [2400, 3], [2881, 1], [0, 5]], 4, 2880], [0, 0, False]),\n  ('normal control 8', [[[0, 3], [1800, 0], [0, 7], [2880, 3], [1800, 7]], 4, 2880], [1, 1800, False])],\n [('regression: limit comparison 1',\n   [[[0, 1], [2880, 0], [2880, 0], [0, 5], [1800, 3], [2400, 7], [3000, 1], [2881, 7], [2880, 5]], 3, 2880],\n   [2, 2880, False]),\n  ('regression variant: limit comparison 2', [[[2881, 0], [3300, 7], [2880, 0]], 5, 2880], [2, 2880, False]),\n  ('partial repair guard 3', [[[3300, 0], [1800, 3], [0, 5]], 3, 2880], [1, 3300, True]),\n  ('boundary control 4', [[[3000, 0], [1000, 2], [3000, 0], [3000, 0]], 3, 2880], [3, 3000, True]),\n  ('boundary control 5', [[[2000, 1], [3000, 0]], 3, 2880], [1, 3000, True]),\n  ('normal control 6',\n   [[[3300, 0], [3300, 5], [2881, 1], [2881, 0], [2881, 0], [2400, 1], [2400, 3], [0, 5]], 4, 2880],\n   [3, 3020, True]),\n  ('normal control 7', [[[2400, 3], [2400, 0], [3300, 1], [3300, 0], [1800, 1]], 5, 2880], [2, 2850, False]),\n  ('normal control 8',\n   [[[3300, 7], [3300, 1], [2881, 0], [0, 7], [1800, 7], [1800, 0], [0, 3], [3300, 0]], 3, 2880],\n   [3, 2660, False])],\n [('regression: limit comparison 1', [[[2881, 0], [3300, 7], [2880, 0]], 5, 2880], [2, 2880, False]),\n  ('regression variant: limit comparison 2',\n   [[[1800, 3], [3000, 5], [2880, 0], [3000, 1], [1800, 5], [2880, 1]], 5, 2880], [1, 2880, False]),\n  ('partial repair guard 3', [[[3300, 0], [3300, 0], [2880, 0], [2400, 3], [2400, 7]], 4, 2880],\n   [3, 3160, True]),\n  ('boundary control 4', [[[3000, 0], [0, 7], [2800, 0], [2900, 0]], 3, 2880], [3, 2900, True]),\n  ('boundary control 5', [[[3000, 0], [1000, 2], [3000, 0], [3000, 0]], 3, 2880], [3, 3000, True]),\n  ('normal control 6', [[[3000, 5], [2881, 1], [3000, 0], [3000, 5], [2881, 0]], 5, 2880], [2, 2940, True]),\n  ('normal control 7',\n   [[[3000, 0], [2400, 0], [3000, 0], [2880, 0], [2880, 7], [3300, 1], [0, 1], [2400, 5], [3300, 7]], 4,\n    2880],\n   [4, 2820, False]),\n  ('normal control 8', [[[1800, 0], [3300, 3], [1800, 7], [2880, 0]], 5, 2880], [2, 2340, False])],\n [('regression: limit comparison 1', [[[0, 7], [2880, 0], [2880, 1]], 5, 2880], [1, 2880, False]),\n  ('regression variant: limit comparison 2',\n   [[[0, 1], [2880, 0], [2880, 0], [0, 5], [1800, 3], [2400, 7], [3000, 1], [2881, 7], [2880, 5]], 3, 2880],\n   [2, 2880, False]),\n  ('partial repair guard 3', [[[3300, 5], [3000, 7], [2880, 1], [2881, 0], [3300, 0]], 5, 2880],\n   [2, 3090, True]),\n  ('boundary control 4', [[[2880, 0], [2880, 0], [2880, 0]], 3, 2880], [3, 2880, False]),\n  ('boundary control 5', [[[3000, 0], [0, 7], [2800, 0], [2900, 0]], 3, 2880], [3, 2900, True]),\n  ('normal control 6',\n   [[[3000, 5], [2400, 0], [3300, 0], [3300, 1], [1800, 3], [3300, 7], [2880, 5], [0, 3]], 4, 2880],\n   [2, 2850, False]),\n  ('normal control 7', [[[3000, 5], [3000, 1], [1800, 7], [2881, 0], [0, 5]], 4, 2880], [1, 2881, True]),\n  ('normal control 8', [[[2880, 1], [3300, 0], [3300, 3], [2881, 7], [0, 5]], 3, 2880], [1, 3300, True])],\n [('regression: limit comparison 1', [[[2400, 7], [0, 1], [3000, 3], [2880, 0]], 3, 2880], [1, 2880, False]),\n  ('regression variant: limit comparison 2', [[[2881, 7], [2880, 0], [2400, 3], [2880, 3]], 3, 2880],\n   [1, 2880, False]),\n  ('partial repair guard 3', [[[3000, 3], [2881, 0], [3300, 5], [2400, 5], [2881, 3]], 3, 2880],\n   [1, 2881, True]),\n  ('boundary control 4', [[[2000, 1], [3000, 0]], 3, 2880], [1, 3000, True]),\n  ('boundary control 5', [[[2880, 0], [2880, 0], [2880, 0]], 3, 2880], [3, 2880, False]),\n  ('normal control 6', [[[3000, 0], [3300, 5], [0, 3]], 4, 2880], [1, 3000, True]),\n  ('normal control 7', [[[2881, 0], [2400, 1], [0, 0], [3300, 7], [3000, 1], [2881, 5], [2881, 1]], 4, 2880],\n   [2, 1440, False]),\n  ('normal control 8', [[[0, 7], [1800, 7], [2400, 0], [2400, 7], [2400, 0], [1800, 5], [2400, 5]], 5, 2880],\n   [2, 2400, False])]]\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":"300cdf939fae757f04a04a02e8d584dc6a006d82cab2872ac5ee4b172ae18838","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(weeks, ref, limit):\n    counted = []\n    for m, ex in weeks:\n        if len(counted) == ref:\n            break\n        if ex == 0:\n            counted.append(m)\n    if not counted:\n        return [0, 0, False]\n    avg = sum(counted) // len(counted)\n    return [len(counted), avg, avg > limit]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: limit comparison 1', [[[2880, 0], [2880, 0], [2880, 0]], 3, 2880], [3, 2880, False]),\n  ('regression variant: limit comparison 2', [[[2880, 0], [2881, 0], [3300, 3], [2880, 1]], 5, 2880],\n   [2, 2880, False]),\n  ('partial repair guard 3', [[[3300, 0], [0, 1], [3000, 0]], 5, 2880], [2, 3150, True]),\n  ('boundary control 4', [[[2000, 1], [3000, 0]], 3, 2880], [1, 3000, True]),\n  ('normal control 5', [[[0, 0], [2880, 0], [3000, 3], [3300, 0]], 3, 2880], [3, 2060, False]),\n  ('normal control 6', [[[0, 0], [2400, 0], [0, 1], [2881, 3]], 5, 2880], [2, 1200, False]),\n  ('normal control 7', [[[2881, 5], [2400, 3], [2881, 1], [0, 5]], 4, 2880], [0, 0, False]),\n  ('normal control 8', [[[0, 3], [1800, 0], [0, 7], [2880, 3], [1800, 7]], 4, 2880], [1, 1800, False])],\n [('regression: limit comparison 1',\n   [[[0, 1], [2880, 0], [2880, 0], [0, 5], [1800, 3], [2400, 7], [3000, 1], [2881, 7], [2880, 5]], 3, 2880],\n   [2, 2880, False]),\n  ('regression variant: limit comparison 2', [[[2881, 0], [3300, 7], [2880, 0]], 5, 2880], [2, 2880, False]),\n  ('partial repair guard 3', [[[3300, 0], [1800, 3], [0, 5]], 3, 2880], [1, 3300, True]),\n  ('boundary control 4', [[[3000, 0], [1000, 2], [3000, 0], [3000, 0]], 3, 2880], [3, 3000, True]),\n  ('boundary control 5', [[[2000, 1], [3000, 0]], 3, 2880], [1, 3000, True]),\n  ('normal control 6',\n   [[[3300, 0], [3300, 5], [2881, 1], [2881, 0], [2881, 0], [2400, 1], [2400, 3], [0, 5]], 4, 2880],\n   [3, 3020, True]),\n  ('normal control 7', [[[2400, 3], [2400, 0], [3300, 1], [3300, 0], [1800, 1]], 5, 2880], [2, 2850, False]),\n  ('normal control 8',\n   [[[3300, 7], [3300, 1], [2881, 0], [0, 7], [1800, 7], [1800, 0], [0, 3], [3300, 0]], 3, 2880],\n   [3, 2660, False])],\n [('regression: limit comparison 1', [[[2881, 0], [3300, 7], [2880, 0]], 5, 2880], [2, 2880, False]),\n  ('regression variant: limit comparison 2',\n   [[[1800, 3], [3000, 5], [2880, 0], [3000, 1], [1800, 5], [2880, 1]], 5, 2880], [1, 2880, False]),\n  ('partial repair guard 3', [[[3300, 0], [3300, 0], [2880, 0], [2400, 3], [2400, 7]], 4, 2880],\n   [3, 3160, True]),\n  ('boundary control 4', [[[3000, 0], [0, 7], [2800, 0], [2900, 0]], 3, 2880], [3, 2900, True]),\n  ('boundary control 5', [[[3000, 0], [1000, 2], [3000, 0], [3000, 0]], 3, 2880], [3, 3000, True]),\n  ('normal control 6', [[[3000, 5], [2881, 1], [3000, 0], [3000, 5], [2881, 0]], 5, 2880], [2, 2940, True]),\n  ('normal control 7',\n   [[[3000, 0], [2400, 0], [3000, 0], [2880, 0], [2880, 7], [3300, 1], [0, 1], [2400, 5], [3300, 7]], 4,\n    2880],\n   [4, 2820, False]),\n  ('normal control 8', [[[1800, 0], [3300, 3], [1800, 7], [2880, 0]], 5, 2880], [2, 2340, False])],\n [('regression: limit comparison 1', [[[0, 7], [2880, 0], [2880, 1]], 5, 2880], [1, 2880, False]),\n  ('regression variant: limit comparison 2',\n   [[[0, 1], [2880, 0], [2880, 0], [0, 5], [1800, 3], [2400, 7], [3000, 1], [2881, 7], [2880, 5]], 3, 2880],\n   [2, 2880, False]),\n  ('partial repair guard 3', [[[3300, 5], [3000, 7], [2880, 1], [2881, 0], [3300, 0]], 5, 2880],\n   [2, 3090, True]),\n  ('boundary control 4', [[[2880, 0], [2880, 0], [2880, 0]], 3, 2880], [3, 2880, False]),\n  ('boundary control 5', [[[3000, 0], [0, 7], [2800, 0], [2900, 0]], 3, 2880], [3, 2900, True]),\n  ('normal control 6',\n   [[[3000, 5], [2400, 0], [3300, 0], [3300, 1], [1800, 3], [3300, 7], [2880, 5], [0, 3]], 4, 2880],\n   [2, 2850, False]),\n  ('normal control 7', [[[3000, 5], [3000, 1], [1800, 7], [2881, 0], [0, 5]], 4, 2880], [1, 2881, True]),\n  ('normal control 8', [[[2880, 1], [3300, 0], [3300, 3], [2881, 7], [0, 5]], 3, 2880], [1, 3300, True])],\n [('regression: limit comparison 1', [[[2400, 7], [0, 1], [3000, 3], [2880, 0]], 3, 2880], [1, 2880, False]),\n  ('regression variant: limit comparison 2', [[[2881, 7], [2880, 0], [2400, 3], [2880, 3]], 3, 2880],\n   [1, 2880, False]),\n  ('partial repair guard 3', [[[3000, 3], [2881, 0], [3300, 5], [2400, 5], [2881, 3]], 3, 2880],\n   [1, 2881, True]),\n  ('boundary control 4', [[[2000, 1], [3000, 0]], 3, 2880], [1, 3000, True]),\n  ('boundary control 5', [[[2880, 0], [2880, 0], [2880, 0]], 3, 2880], [3, 2880, False]),\n  ('normal control 6', [[[3000, 0], [3300, 5], [0, 3]], 4, 2880], [1, 3000, True]),\n  ('normal control 7', [[[2881, 0], [2400, 1], [0, 0], [3300, 7], [3000, 1], [2881, 5], [2881, 1]], 4, 2880],\n   [2, 1440, False]),\n  ('normal control 8', [[[0, 7], [1800, 7], [2400, 0], [2400, 7], [2400, 0], [1800, 5], [2400, 5]], 5, 2880],\n   [2, 2400, False])]]\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":"Stipulated toy labor rule for a bounded roster model; it is not legal advice and does not claim conformance with any jurisdiction, award, or collective agreement. 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-shift-rostering-labor-rules-reference-period-average-hours-limit-comparison","generated_at":"2026-09-29T14:52:02.718388+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Averaged weekly-hours limits require excluding leave weeks and extending the reference period.","repair":"Only an average above the limit is a breach.","root_cause":"The limit comparison is inclusive.","sha256":"2ab57d5fdc82c305f6682ce518378ca7dd1b958f3666707748ac8bb20c1c85e4","title":"Average exactly at the limit flagged · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":44.902,"exit_code":1,"observations":[{"actual":[3,2880,false],"check":"regression: limit comparison 1","expected":[3,2880,false],"passed":true},{"actual":[2,2880,false],"check":"regression variant: limit comparison 2","expected":[2,2880,false],"passed":true},{"actual":[2,3150,false],"check":"partial repair guard 3","expected":[2,3150,true],"passed":false},{"actual":[1,3000,false],"check":"boundary control 4","expected":[1,3000,true],"passed":false},{"actual":[3,2060,false],"check":"normal control 5","expected":[3,2060,false],"passed":true},{"actual":[2,1200,false],"check":"normal control 6","expected":[2,1200,false],"passed":true},{"actual":[0,0,false],"check":"normal control 7","expected":[0,0,false],"passed":true},{"actual":[1,1800,false],"check":"normal control 8","expected":[1,1800,false],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: limit comparison 1\", \"actual\": [3, 2880, false], \"expected\": [3, 2880, false], \"passed\": true}, {\"check\": \"regression variant: limit comparison 2\", \"actual\": [2, 2880, false], \"expected\": [2, 2880, false], \"passed\": true}, {\"check\": \"partial repair guard 3\", \"actual\": [2, 3150, false], \"expected\": [2, 3150, true], \"passed\": false}, {\"check\": \"boundary control 4\", \"actual\": [1, 3000, false], \"expected\": [1, 3000, true], \"passed\": false}, {\"check\": \"normal control 5\", \"actual\": [3, 2060, false], \"expected\": [3, 2060, false], \"passed\": true}, {\"check\": \"normal control 6\", \"actual\": [2, 1200, false], \"expected\": [2, 1200, false], \"passed\": true}, {\"check\": \"normal control 7\", \"actual\": [0, 0, false], \"expected\": [0, 0, false], \"passed\": true}, {\"check\": \"normal control 8\", \"actual\": [1, 1800, false], \"expected\": [1, 1800, false], \"passed\": true}], \"passed\": 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\"expected\": [2, 2880, false], \"passed\": true}, {\"check\": \"partial repair guard 3\", \"actual\": [2, 3150, true], \"expected\": [2, 3150, true], \"passed\": true}, {\"check\": \"boundary control 4\", \"actual\": [1, 3000, true], \"expected\": [1, 3000, true], \"passed\": true}, {\"check\": \"normal control 5\", \"actual\": [3, 2060, false], \"expected\": [3, 2060, false], \"passed\": true}, {\"check\": \"normal control 6\", \"actual\": [2, 1200, false], \"expected\": [2, 1200, false], \"passed\": true}, {\"check\": \"normal control 7\", \"actual\": [0, 0, false], \"expected\": [0, 0, false], \"passed\": true}, {\"check\": \"normal control 8\", \"actual\": [1, 1800, false], \"expected\": [1, 1800, false], \"passed\": true}], \"passed\": true}\n"}},"verified":true,"visibility":"public"}