{"abstract":"After a skipped trigger the task phase shifts permanently instead of returning to the fixed period grid.","category":"PLC ladder logic scan cycles","checks":8,"contract":"Periodic task triggered every period ms from t=0; exec_times[k] is how long the k-th triggered execution would take. A trigger arriving while the previous execution is still running (trigger time < completion time) is an overlap: it is counted and skipped, not queued; a trigger exactly at completion starts normally. An execution longer than watchdog raises a major fault at start + watchdog and scheduling stops. Return [start_times, overlap_count, fault_time or None].","evaluation_group":"w2-plc-ladder-logic-scan-cycles-periodic-task-overlap","failed_approach":"Adding the skipped periods to the last start still miscounts after earlier skips.","family":"w2-plc-ladder-logic-scan-cycles-periodic-task-overlap-trigger-drift","id":"FA-92076","implementations":{"attempt":{"sha256":"ec0536ffa4075efad9ba9a0ba5e4c9dcc149ae3d4dce809307eb2506fab1124c","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(period, watchdog, exec_times):\n    t_free = 0\n    starts = []\n    overlaps = 0\n    fault = None\n    for k, ex in enumerate(exec_times):\n        trig = (starts[-1] + period * (k - len(starts) + 1)) if starts else 0\n        if trig < t_free:\n            overlaps += 1\n            continue\n        starts.append(trig)\n        if ex > watchdog:\n            fault = trig + watchdog\n            break\n        t_free = trig + ex\n    return [starts, overlaps, fault]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['regression: mixed overlaps', [10, 50, [5, 15, 3, 10, 12, 4]], [[0, 10, 30, 40], 2, None]],\n  ['regression: exact watchdog', [20, 30, [30, 5, 5, 5]], [[0, 40, 60], 1, None]],\n  ['control: watchdog exceeded', [10, 12, [5, 13, 4]], [[0, 10], 0, 22]],\n  ['control: first execution overruns', [10, 25, [30, 5]], [[0], 0, 25]],\n  ['regression: skip then drift', [10, 100, [25, 1, 1, 1, 1, 1]], [[0, 30, 40, 50], 2, None]],\n  ['regression: scenario 1', [50, 100, [100, 100, 100, 100, 50, 25]], [[0, 100, 200, 250], 2, None]],\n  ['regression: scenario 2', [20, 100, [100, 100, 60, 39, 20, 40, 54, 40]], [[0, 100, 140], 5, None]],\n  ['control: scenario 3', [50, 40, [50, 100, 50, 100, 100, 40]], [[0], 0, 40]]],\n [['regression: exact watchdog', [20, 30, [30, 5, 5, 5]], [[0, 40, 60], 1, None]],\n  ['regression: skip then drift', [10, 100, [25, 1, 1, 1, 1, 1]], [[0, 30, 40, 50], 2, None]],\n  ['regression: mixed overlaps', [10, 50, [5, 15, 3, 10, 12, 4]], [[0, 10, 30, 40], 2, None]],\n  ['control: watchdog exceeded', [10, 12, [5, 13, 4]], [[0, 10], 0, 22]],\n  ['control: first execution overruns', [10, 25, [30, 5]], [[0], 0, 25]],\n  ['regression: scenario 1', [20, 60, [60, 20, 36, 40, 20]], [[0, 60], 3, None]],\n  ['regression: scenario 2',\n   [10, 100, [10, 10, 10, 10, 10, 20, 100, 3, 20, 10, 100]],\n   [[0, 10, 20, 30, 40, 50, 70, 80, 100], 2, None]],\n  ['regression: scenario 3', [20, 100, [40, 40, 51, 40, 100]], [[0, 40], 3, None]]],\n [['regression: skip then drift', [10, 100, [25, 1, 1, 1, 1, 1]], [[0, 30, 40, 50], 2, None]],\n  ['regression: scenario 1', [20, 100, [100, 20, 60, 100, 40, 20, 30, 12]], [[0, 100, 120], 5, None]],\n  ['regression: mixed overlaps', [10, 50, [5, 15, 3, 10, 12, 4]], [[0, 10, 30, 40], 2, None]],\n  ['control: watchdog exceeded', [10, 12, [5, 13, 4]], [[0, 10], 0, 22]],\n  ['regression: exact watchdog', [20, 30, [30, 5, 5, 5]], [[0, 40, 60], 1, None]],\n  ['control: first execution overruns', [10, 25, [30, 5]], [[0], 0, 25]],\n  ['control: scenario 2', [10, 40, [50, 40, 10, 40, 10, 61, 60, 40, 20, 20, 10, 10]], [[0], 0, 40]],\n  ['regression: scenario 3',\n   [20, 30, [20, 30, 6, 30, 40, 39, 61, 36, 40, 40, 30, 20]],\n   [[0, 20, 60, 100], 2, 130]]],\n [['regression: scenario 1',\n   [20, 30, [21, 20, 20, 20, 40, 30, 20, 30, 40, 30, 40]],\n   [[0, 40, 60, 80], 1, 110]],\n  ['regression: scenario 2',\n   [50, 100, [100, 100, 100, 50, 100, 50, 100, 50, 100, 15, 100, 50]],\n   [[0, 100, 200, 300, 400, 500], 6, None]],\n  ['regression: mixed overlaps', [10, 50, [5, 15, 3, 10, 12, 4]], [[0, 10, 30, 40], 2, None]],\n  ['control: watchdog exceeded', [10, 12, [5, 13, 4]], [[0, 10], 0, 22]],\n  ['regression: exact watchdog', [20, 30, [30, 5, 5, 5]], [[0, 40, 60], 1, None]],\n  ['control: first execution overruns', [10, 25, [30, 5]], [[0], 0, 25]],\n  ['regression: skip then drift', [10, 100, [25, 1, 1, 1, 1, 1]], [[0, 30, 40, 50], 2, None]],\n  ['regression: scenario 3',\n   [10, 40, [20, 20, 20, 20, 10, 61, 55, 66, 20, 37, 40, 40]],\n   [[0, 20, 40, 50], 2, 90]]],\n [['regression: scenario 5', [25, 40, [25, 40, 40, 40, 24, 25, 50, 40, 50]], [[0, 25, 75, 125, 150], 2, 190]],\n  ['regression: scenario 6', [20, 30, [30, 20, 30, 24, 49, 59, 40, 49, 30, 50, 20]], [[0, 40, 80], 2, 110]],\n  ['regression: mixed overlaps', [10, 50, [5, 15, 3, 10, 12, 4]], [[0, 10, 30, 40], 2, None]],\n  ['control: watchdog exceeded', [10, 12, [5, 13, 4]], [[0, 10], 0, 22]],\n  ['regression: exact watchdog', [20, 30, [30, 5, 5, 5]], [[0, 40, 60], 1, None]],\n  ['control: first execution overruns', [10, 25, [30, 5]], [[0], 0, 25]],\n  ['regression: skip then drift', [10, 100, [25, 1, 1, 1, 1, 1]], [[0, 30, 40, 50], 2, None]],\n  ['control: scenario 1', [25, 60, [70, 25, 60, 35, 25, 15, 60, 60, 25, 50, 25, 4]], [[0], 0, 60]]]]\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":"6527549ac413c1645fcdff4f2905608d76e6d1b75a22e8177439d8ab0a68804b","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(period, watchdog, exec_times):\n    t_free = 0\n    starts = []\n    overlaps = 0\n    fault = None\n    for k, ex in enumerate(exec_times):\n        trig = starts[-1] + period if starts else 0\n        if trig < t_free:\n            overlaps += 1\n            continue\n        starts.append(trig)\n        if ex > watchdog:\n            fault = trig + watchdog\n            break\n        t_free = trig + ex\n    return [starts, overlaps, fault]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['regression: mixed overlaps', [10, 50, [5, 15, 3, 10, 12, 4]], [[0, 10, 30, 40], 2, None]],\n  ['regression: exact watchdog', [20, 30, [30, 5, 5, 5]], [[0, 40, 60], 1, None]],\n  ['control: watchdog exceeded', [10, 12, [5, 13, 4]], [[0, 10], 0, 22]],\n  ['control: first execution overruns', [10, 25, [30, 5]], [[0], 0, 25]],\n  ['regression: skip then drift', [10, 100, [25, 1, 1, 1, 1, 1]], [[0, 30, 40, 50], 2, None]],\n  ['regression: scenario 1', [50, 100, [100, 100, 100, 100, 50, 25]], [[0, 100, 200, 250], 2, None]],\n  ['regression: scenario 2', [20, 100, [100, 100, 60, 39, 20, 40, 54, 40]], [[0, 100, 140], 5, None]],\n  ['control: scenario 3', [50, 40, [50, 100, 50, 100, 100, 40]], [[0], 0, 40]]],\n [['regression: exact watchdog', [20, 30, [30, 5, 5, 5]], [[0, 40, 60], 1, None]],\n  ['regression: skip then drift', [10, 100, [25, 1, 1, 1, 1, 1]], [[0, 30, 40, 50], 2, None]],\n  ['regression: mixed overlaps', [10, 50, [5, 15, 3, 10, 12, 4]], [[0, 10, 30, 40], 2, None]],\n  ['control: watchdog exceeded', [10, 12, [5, 13, 4]], [[0, 10], 0, 22]],\n  ['control: first execution overruns', [10, 25, [30, 5]], [[0], 0, 25]],\n  ['regression: scenario 1', [20, 60, [60, 20, 36, 40, 20]], [[0, 60], 3, None]],\n  ['regression: scenario 2',\n   [10, 100, [10, 10, 10, 10, 10, 20, 100, 3, 20, 10, 100]],\n   [[0, 10, 20, 30, 40, 50, 70, 80, 100], 2, None]],\n  ['regression: scenario 3', [20, 100, [40, 40, 51, 40, 100]], [[0, 40], 3, None]]],\n [['regression: skip then drift', [10, 100, [25, 1, 1, 1, 1, 1]], [[0, 30, 40, 50], 2, None]],\n  ['regression: scenario 1', [20, 100, [100, 20, 60, 100, 40, 20, 30, 12]], [[0, 100, 120], 5, None]],\n  ['regression: mixed overlaps', [10, 50, [5, 15, 3, 10, 12, 4]], [[0, 10, 30, 40], 2, None]],\n  ['control: watchdog exceeded', [10, 12, [5, 13, 4]], [[0, 10], 0, 22]],\n  ['regression: exact watchdog', [20, 30, [30, 5, 5, 5]], [[0, 40, 60], 1, None]],\n  ['control: first execution overruns', [10, 25, [30, 5]], [[0], 0, 25]],\n  ['control: scenario 2', [10, 40, [50, 40, 10, 40, 10, 61, 60, 40, 20, 20, 10, 10]], [[0], 0, 40]],\n  ['regression: scenario 3',\n   [20, 30, [20, 30, 6, 30, 40, 39, 61, 36, 40, 40, 30, 20]],\n   [[0, 20, 60, 100], 2, 130]]],\n [['regression: scenario 1',\n   [20, 30, [21, 20, 20, 20, 40, 30, 20, 30, 40, 30, 40]],\n   [[0, 40, 60, 80], 1, 110]],\n  ['regression: scenario 2',\n   [50, 100, [100, 100, 100, 50, 100, 50, 100, 50, 100, 15, 100, 50]],\n   [[0, 100, 200, 300, 400, 500], 6, None]],\n  ['regression: mixed overlaps', [10, 50, [5, 15, 3, 10, 12, 4]], [[0, 10, 30, 40], 2, None]],\n  ['control: watchdog exceeded', [10, 12, [5, 13, 4]], [[0, 10], 0, 22]],\n  ['regression: exact watchdog', [20, 30, [30, 5, 5, 5]], [[0, 40, 60], 1, None]],\n  ['control: first execution overruns', [10, 25, [30, 5]], [[0], 0, 25]],\n  ['regression: skip then drift', [10, 100, [25, 1, 1, 1, 1, 1]], [[0, 30, 40, 50], 2, None]],\n  ['regression: scenario 3',\n   [10, 40, [20, 20, 20, 20, 10, 61, 55, 66, 20, 37, 40, 40]],\n   [[0, 20, 40, 50], 2, 90]]],\n [['regression: scenario 5', [25, 40, [25, 40, 40, 40, 24, 25, 50, 40, 50]], [[0, 25, 75, 125, 150], 2, 190]],\n  ['regression: scenario 6', [20, 30, [30, 20, 30, 24, 49, 59, 40, 49, 30, 50, 20]], [[0, 40, 80], 2, 110]],\n  ['regression: mixed overlaps', [10, 50, [5, 15, 3, 10, 12, 4]], [[0, 10, 30, 40], 2, None]],\n  ['control: watchdog exceeded', [10, 12, [5, 13, 4]], [[0, 10], 0, 22]],\n  ['regression: exact watchdog', [20, 30, [30, 5, 5, 5]], [[0, 40, 60], 1, None]],\n  ['control: first execution overruns', [10, 25, [30, 5]], [[0], 0, 25]],\n  ['regression: skip then drift', [10, 100, [25, 1, 1, 1, 1, 1]], [[0, 30, 40, 50], 2, None]],\n  ['control: scenario 1', [25, 60, [70, 25, 60, 35, 25, 15, 60, 60, 25, 50, 25, 4]], [[0], 0, 60]]]]\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":"abd1e7287e16d7b7a11cd1adcbc8bf3a9094a95330b981bc214104aa0969f1d5","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(period, watchdog, exec_times):\n    t_free = 0\n    starts = []\n    overlaps = 0\n    fault = None\n    for k, ex in enumerate(exec_times):\n        trig = k * period\n        if trig < t_free:\n            overlaps += 1\n            continue\n        starts.append(trig)\n        if ex > watchdog:\n            fault = trig + watchdog\n            break\n        t_free = trig + ex\n    return [starts, overlaps, fault]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['regression: mixed overlaps', [10, 50, [5, 15, 3, 10, 12, 4]], [[0, 10, 30, 40], 2, None]],\n  ['regression: exact watchdog', [20, 30, [30, 5, 5, 5]], [[0, 40, 60], 1, None]],\n  ['control: watchdog exceeded', [10, 12, [5, 13, 4]], [[0, 10], 0, 22]],\n  ['control: first execution overruns', [10, 25, [30, 5]], [[0], 0, 25]],\n  ['regression: skip then drift', [10, 100, [25, 1, 1, 1, 1, 1]], [[0, 30, 40, 50], 2, None]],\n  ['regression: scenario 1', [50, 100, [100, 100, 100, 100, 50, 25]], [[0, 100, 200, 250], 2, None]],\n  ['regression: scenario 2', [20, 100, [100, 100, 60, 39, 20, 40, 54, 40]], [[0, 100, 140], 5, None]],\n  ['control: scenario 3', [50, 40, [50, 100, 50, 100, 100, 40]], [[0], 0, 40]]],\n [['regression: exact watchdog', [20, 30, [30, 5, 5, 5]], [[0, 40, 60], 1, None]],\n  ['regression: skip then drift', [10, 100, [25, 1, 1, 1, 1, 1]], [[0, 30, 40, 50], 2, None]],\n  ['regression: mixed overlaps', [10, 50, [5, 15, 3, 10, 12, 4]], [[0, 10, 30, 40], 2, None]],\n  ['control: watchdog exceeded', [10, 12, [5, 13, 4]], [[0, 10], 0, 22]],\n  ['control: first execution overruns', [10, 25, [30, 5]], [[0], 0, 25]],\n  ['regression: scenario 1', [20, 60, [60, 20, 36, 40, 20]], [[0, 60], 3, None]],\n  ['regression: scenario 2',\n   [10, 100, [10, 10, 10, 10, 10, 20, 100, 3, 20, 10, 100]],\n   [[0, 10, 20, 30, 40, 50, 70, 80, 100], 2, None]],\n  ['regression: scenario 3', [20, 100, [40, 40, 51, 40, 100]], [[0, 40], 3, None]]],\n [['regression: skip then drift', [10, 100, [25, 1, 1, 1, 1, 1]], [[0, 30, 40, 50], 2, None]],\n  ['regression: scenario 1', [20, 100, [100, 20, 60, 100, 40, 20, 30, 12]], [[0, 100, 120], 5, None]],\n  ['regression: mixed overlaps', [10, 50, [5, 15, 3, 10, 12, 4]], [[0, 10, 30, 40], 2, None]],\n  ['control: watchdog exceeded', [10, 12, [5, 13, 4]], [[0, 10], 0, 22]],\n  ['regression: exact watchdog', [20, 30, [30, 5, 5, 5]], [[0, 40, 60], 1, None]],\n  ['control: first execution overruns', [10, 25, [30, 5]], [[0], 0, 25]],\n  ['control: scenario 2', [10, 40, [50, 40, 10, 40, 10, 61, 60, 40, 20, 20, 10, 10]], [[0], 0, 40]],\n  ['regression: scenario 3',\n   [20, 30, [20, 30, 6, 30, 40, 39, 61, 36, 40, 40, 30, 20]],\n   [[0, 20, 60, 100], 2, 130]]],\n [['regression: scenario 1',\n   [20, 30, [21, 20, 20, 20, 40, 30, 20, 30, 40, 30, 40]],\n   [[0, 40, 60, 80], 1, 110]],\n  ['regression: scenario 2',\n   [50, 100, [100, 100, 100, 50, 100, 50, 100, 50, 100, 15, 100, 50]],\n   [[0, 100, 200, 300, 400, 500], 6, None]],\n  ['regression: mixed overlaps', [10, 50, [5, 15, 3, 10, 12, 4]], [[0, 10, 30, 40], 2, None]],\n  ['control: watchdog exceeded', [10, 12, [5, 13, 4]], [[0, 10], 0, 22]],\n  ['regression: exact watchdog', [20, 30, [30, 5, 5, 5]], [[0, 40, 60], 1, None]],\n  ['control: first execution overruns', [10, 25, [30, 5]], [[0], 0, 25]],\n  ['regression: skip then drift', [10, 100, [25, 1, 1, 1, 1, 1]], [[0, 30, 40, 50], 2, None]],\n  ['regression: scenario 3',\n   [10, 40, [20, 20, 20, 20, 10, 61, 55, 66, 20, 37, 40, 40]],\n   [[0, 20, 40, 50], 2, 90]]],\n [['regression: scenario 5', [25, 40, [25, 40, 40, 40, 24, 25, 50, 40, 50]], [[0, 25, 75, 125, 150], 2, 190]],\n  ['regression: scenario 6', [20, 30, [30, 20, 30, 24, 49, 59, 40, 49, 30, 50, 20]], [[0, 40, 80], 2, 110]],\n  ['regression: mixed overlaps', [10, 50, [5, 15, 3, 10, 12, 4]], [[0, 10, 30, 40], 2, None]],\n  ['control: watchdog exceeded', [10, 12, [5, 13, 4]], [[0, 10], 0, 22]],\n  ['regression: exact watchdog', [20, 30, [30, 5, 5, 5]], [[0, 40, 60], 1, None]],\n  ['control: first execution overruns', [10, 25, [30, 5]], [[0], 0, 25]],\n  ['regression: skip then drift', [10, 100, [25, 1, 1, 1, 1, 1]], [[0, 30, 40, 50], 2, None]],\n  ['control: scenario 1', [25, 60, [70, 25, 60, 35, 25, 15, 60, 60, 25, 50, 25, 4]], [[0], 0, 60]]]]\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 bounded teaching model of one PLC instruction or rung pattern evaluated scan by scan. The stated contract is a stipulated toy convention, not a claim of conformance to any vendor controller or IEC 61131-3 runtime. 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-plc-ladder-logic-scan-cycles-periodic-task-overlap-trigger-drift","generated_at":"2026-09-29T14:51:42.330775+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Ladder programs are executed as repeated scans; each defect here changes what a rung, timer, counter or data-table instruction reports on a particular scan, which is how commissioning and field faults are actually observed.","repair":"Trigger k occurs at k * period from t=0 regardless of skips.","root_cause":"The next trigger time is computed as last start + period rather than k * period.","sha256":"f816d6208b4b3bb03582d3b7d38c4b2b98c19534b6c9eae331bc5b2ee54be000","title":"Periodic trigger is scheduled relative to the previous start · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":41.297,"exit_code":1,"observations":[{"actual":[[0,10,30,50,70],1,null],"check":"regression: mixed overlaps","expected":[[0,10,30,40],2,null],"passed":false},{"actual":[[0,40,80],1,null],"check":"regression: exact watchdog","expected":[[0,40,60],1,null],"passed":false},{"actual":[[0,10],0,22],"check":"control: watchdog exceeded","expected":[[0,10],0,22],"passed":true},{"actual":[[0],0,25],"check":"control: first execution overruns","expected":[[0],0,25],"passed":true},{"actual":[[0,30,60,90],2,null],"check":"regression: skip then drift","expected":[[0,30,40,50],2,null],"passed":false},{"actual":[[0,100,200,300,400],1,null],"check":"regression: scenario 1","expected":[[0,100,200,250],2,null],"passed":false},{"actual":[[0,100,200,300],4,null],"check":"regression: scenario 2","expected":[[0,100,140],5,null],"passed":false},{"actual":[[0],0,40],"check":"control: scenario 3","expected":[[0],0,40],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: mixed overlaps\", \"actual\": [[0, 10, 30, 50, 70], 1, null], \"expected\": [[0, 10, 30, 40], 2, null], \"passed\": false}, {\"check\": \"regression: exact watchdog\", \"actual\": [[0, 40, 80], 1, null], \"expected\": [[0, 40, 60], 1, null], \"passed\": false}, {\"check\": \"control: watchdog exceeded\", \"actual\": [[0, 10], 0, 22], \"expected\": [[0, 10], 0, 22], \"passed\": true}, {\"check\": \"control: first execution overruns\", \"actual\": [[0], 0, 25], \"expected\": [[0], 0, 25], \"passed\": true}, {\"check\": \"regression: skip then drift\", \"actual\": [[0, 30, 60, 90], 2, null], \"expected\": [[0, 30, 40, 50], 2, null], \"passed\": false}, {\"check\": \"regression: scenario 1\", \"actual\": [[0, 100, 200, 300, 400], 1, null], \"expected\": [[0, 100, 200, 250], 2, null], \"passed\": false}, {\"check\": \"regression: scenario 2\", \"actual\": [[0, 100, 200, 300], 4, null], \"expected\": [[0, 100, 140], 5, null], \"passed\": false}, {\"check\": \"control: scenario 3\", \"actual\": [[0], 0, 40], \"expected\": [[0], 0, 40], \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":39.211,"exit_code":1,"observations":[{"actual":[[0,10],4,null],"check":"regression: mixed overlaps","expected":[[0,10,30,40],2,null],"passed":false},{"actual":[[0],3,null],"check":"regression: exact watchdog","expected":[[0,40,60],1,null],"passed":false},{"actual":[[0,10],0,22],"check":"control: watchdog exceeded","expected":[[0,10],0,22],"passed":true},{"actual":[[0],0,25],"check":"control: first execution overruns","expected":[[0],0,25],"passed":true},{"actual":[[0],5,null],"check":"regression: skip then drift","expected":[[0,30,40,50],2,null],"passed":false},{"actual":[[0],5,null],"check":"regression: scenario 1","expected":[[0,100,200,250],2,null],"passed":false},{"actual":[[0],7,null],"check":"regression: scenario 2","expected":[[0,100,140],5,null],"passed":false},{"actual":[[0],0,40],"check":"control: scenario 3","expected":[[0],0,40],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: mixed overlaps\", \"actual\": [[0, 10], 4, null], \"expected\": [[0, 10, 30, 40], 2, null], \"passed\": false}, {\"check\": \"regression: exact watchdog\", \"actual\": [[0], 3, null], \"expected\": [[0, 40, 60], 1, null], \"passed\": false}, {\"check\": \"control: watchdog exceeded\", \"actual\": [[0, 10], 0, 22], \"expected\": [[0, 10], 0, 22], \"passed\": true}, {\"check\": \"control: first execution overruns\", \"actual\": [[0], 0, 25], \"expected\": [[0], 0, 25], \"passed\": true}, {\"check\": \"regression: skip then drift\", \"actual\": [[0], 5, null], \"expected\": [[0, 30, 40, 50], 2, null], \"passed\": false}, {\"check\": \"regression: scenario 1\", \"actual\": [[0], 5, null], \"expected\": [[0, 100, 200, 250], 2, null], \"passed\": false}, {\"check\": \"regression: scenario 2\", \"actual\": [[0], 7, null], \"expected\": [[0, 100, 140], 5, null], \"passed\": false}, {\"check\": \"control: scenario 3\", \"actual\": [[0], 0, 40], \"expected\": [[0], 0, 40], \"passed\": true}], \"passed\": false}\n"},"fixed":{"elapsed_ms":40.126,"exit_code":0,"observations":[{"actual":[[0,10,30,40],2,null],"check":"regression: mixed overlaps","expected":[[0,10,30,40],2,null],"passed":true},{"actual":[[0,40,60],1,null],"check":"regression: exact watchdog","expected":[[0,40,60],1,null],"passed":true},{"actual":[[0,10],0,22],"check":"control: watchdog exceeded","expected":[[0,10],0,22],"passed":true},{"actual":[[0],0,25],"check":"control: first execution overruns","expected":[[0],0,25],"passed":true},{"actual":[[0,30,40,50],2,null],"check":"regression: skip then drift","expected":[[0,30,40,50],2,null],"passed":true},{"actual":[[0,100,200,250],2,null],"check":"regression: scenario 1","expected":[[0,100,200,250],2,null],"passed":true},{"actual":[[0,100,140],5,null],"check":"regression: scenario 2","expected":[[0,100,140],5,null],"passed":true},{"actual":[[0],0,40],"check":"control: scenario 3","expected":[[0],0,40],"passed":true}],"passed":true,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: mixed overlaps\", \"actual\": [[0, 10, 30, 40], 2, null], \"expected\": [[0, 10, 30, 40], 2, null], \"passed\": true}, {\"check\": \"regression: exact watchdog\", \"actual\": [[0, 40, 60], 1, null], \"expected\": [[0, 40, 60], 1, null], \"passed\": true}, {\"check\": \"control: watchdog exceeded\", \"actual\": [[0, 10], 0, 22], \"expected\": [[0, 10], 0, 22], \"passed\": true}, {\"check\": \"control: first execution overruns\", \"actual\": [[0], 0, 25], \"expected\": [[0], 0, 25], \"passed\": true}, {\"check\": \"regression: skip then drift\", \"actual\": [[0, 30, 40, 50], 2, null], \"expected\": [[0, 30, 40, 50], 2, null], \"passed\": true}, {\"check\": \"regression: scenario 1\", \"actual\": [[0, 100, 200, 250], 2, null], \"expected\": [[0, 100, 200, 250], 2, null], \"passed\": true}, {\"check\": \"regression: scenario 2\", \"actual\": [[0, 100, 140], 5, null], \"expected\": [[0, 100, 140], 5, null], \"passed\": true}, {\"check\": \"control: scenario 3\", \"actual\": [[0], 0, 40], \"expected\": [[0], 0, 40], \"passed\": true}], \"passed\": true}\n"}},"verified":true,"visibility":"public"}