{"abstract":"Tracking runs ahead of the conveyor when the encoder pulse spans several scans.","category":"PLC ladder logic scan cycles","checks":8,"contract":"Bit shift left (BSL) register tracking parts on a conveyor. On each rising edge of the encoder clock the bit at the far end (index length-1) moves to the unload bit, every bit moves one position toward the far end, and bit 0 loads the part-present sensor sampled on that same scan. The unload bit holds its value until the next shift. pulses is a list of [clock, sensor]; return [register string index 0 first, unload] per scan.","evaluation_group":"w2-plc-ladder-logic-scan-cycles-bsl-conveyor-tracking","failed_approach":"Shifting on any clock change doubles the shift rate.","family":"w2-plc-ladder-logic-scan-cycles-bsl-conveyor-tracking-clock-edge","id":"FA-92121","implementations":{"attempt":{"sha256":"5a48ffa428e556e22fb6846acd6ea5c6149a4a1e73fc302b8dc3a4675f98a53b","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(length, pulses):\n    bits = [0] * length\n    prev = False\n    unload = 0\n    out = []\n    for clock, sensor in pulses:\n        clock = bool(clock)\n        if clock != prev:\n            unload = bits[length - 1]\n            bits = [1 if sensor else 0] + bits[:length - 1]\n        prev = clock\n        out.append([''.join(str(b) for b in bits), unload])\n    return out\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['regression: clock held high',\n   [2, [[True, 1], [True, 0], [True, 1], [False, 0], [True, 0]]],\n   [['10', 0], ['10', 0], ['10', 0], ['10', 0], ['01', 0]]],\n  ['regression: three stage track',\n   [3, [[True, 1], [False, 0], [True, 0], [False, 0], [True, 1], [False, 0], [True, 0]]],\n   [['100', 0], ['100', 0], ['010', 0], ['010', 0], ['101', 0], ['101', 0], ['010', 1]]],\n  ['regression: single stage',\n   [1, [[True, 1], [False, 0], [True, 0], [False, 1], [True, 1]]],\n   [['1', 0], ['1', 0], ['0', 1], ['0', 1], ['1', 0]]],\n  ['regression: sensor changes on edge scan',\n   [3, [[False, 1], [True, 0], [False, 0], [True, 1], [False, 0]]],\n   [['000', 0], ['000', 0], ['000', 0], ['100', 0], ['100', 0]]],\n  ['regression: scenario 1',\n   [6,\n    [[True, 0],\n     [True, 0],\n     [False, 1],\n     [False, 0],\n     [True, 0],\n     [True, 0],\n     [False, 0],\n     [True, 1],\n     [False, 1],\n     [False, 1],\n     [False, 1],\n     [True, 1],\n     [True, 0],\n     [False, 1],\n     [False, 0]]],\n   [['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['100000', 0],\n    ['100000', 0],\n    ['100000', 0],\n    ['100000', 0],\n    ['110000', 0],\n    ['110000', 0],\n    ['110000', 0],\n    ['110000', 0]]],\n  ['regression: scenario 2',\n   [2, [[False, 0], [False, 0], [False, 0], [False, 0], [False, 1], [True, 1], [False, 0], [True, 0]]],\n   [['00', 0], ['00', 0], ['00', 0], ['00', 0], ['00', 0], ['10', 0], ['10', 0], ['01', 0]]],\n  ['regression: scenario 3',\n   [5,\n    [[True, 0],\n     [True, 1],\n     [False, 0],\n     [True, 1],\n     [False, 0],\n     [False, 1],\n     [True, 0],\n     [True, 1],\n     [True, 0],\n     [True, 1],\n     [True, 0]]],\n   [['00000', 0],\n    ['00000', 0],\n    ['00000', 0],\n    ['10000', 0],\n    ['10000', 0],\n    ['10000', 0],\n    ['01000', 0],\n    ['01000', 0],\n    ['01000', 0],\n    ['01000', 0],\n    ['01000', 0]]],\n  ['regression: scenario 4',\n   [1,\n    [[False, 1],\n     [False, 1],\n     [True, 0],\n     [False, 1],\n     [True, 1],\n     [False, 0],\n     [False, 1],\n     [True, 0],\n     [True, 1],\n     [False, 0],\n     [False, 1],\n     [True, 0],\n     [False, 1],\n     [False, 1],\n     [True, 0],\n     [True, 0]]],\n   [['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['1', 0],\n    ['1', 0],\n    ['1', 0],\n    ['0', 1],\n    ['0', 1],\n    ['0', 1],\n    ['0', 1],\n    ['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['0', 0]]]],\n [['regression: scenario 1',\n   [2,\n    [[False, 1],\n     [False, 0],\n     [True, 0],\n     [False, 0],\n     [True, 0],\n     [True, 0],\n     [True, 0],\n     [True, 0],\n     [False, 0],\n     [False, 1],\n     [True, 0],\n     [True, 1],\n     [False, 1]]],\n   [['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0]]],\n  ['regression: single stage',\n   [1, [[True, 1], [False, 0], [True, 0], [False, 1], [True, 1]]],\n   [['1', 0], ['1', 0], ['0', 1], ['0', 1], ['1', 0]]],\n  ['regression: three stage track',\n   [3, [[True, 1], [False, 0], [True, 0], [False, 0], [True, 1], [False, 0], [True, 0]]],\n   [['100', 0], ['100', 0], ['010', 0], ['010', 0], ['101', 0], ['101', 0], ['010', 1]]],\n  ['regression: clock held high',\n   [2, [[True, 1], [True, 0], [True, 1], [False, 0], [True, 0]]],\n   [['10', 0], ['10', 0], ['10', 0], ['10', 0], ['01', 0]]],\n  ['regression: sensor changes on edge scan',\n   [3, [[False, 1], [True, 0], [False, 0], [True, 1], [False, 0]]],\n   [['000', 0], ['000', 0], ['000', 0], ['100', 0], ['100', 0]]],\n  ['regression: scenario 2',\n   [2,\n    [[True, 0], [False, 1], [False, 1], [True, 0], [False, 1], [False, 0], [True, 0], [False, 1], [True, 0]]],\n   [['00', 0], ['00', 0], ['00', 0], ['00', 0], ['00', 0], ['00', 0], ['00', 0], ['00', 0], ['00', 0]]],\n  ['regression: scenario 3',\n   [1,\n    [[False, 1],\n     [False, 0],\n     [True, 0],\n     [True, 0],\n     [True, 1],\n     [False, 1],\n     [False, 0],\n     [False, 1],\n     [True, 1],\n     [False, 0],\n     [True, 0],\n     [True, 0],\n     [True, 1],\n     [False, 0],\n     [True, 1],\n     [False, 0]]],\n   [['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['1', 0],\n    ['1', 0],\n    ['0', 1],\n    ['0', 1],\n    ['0', 1],\n    ['0', 1],\n    ['1', 0],\n    ['1', 0]]],\n  ['regression: scenario 4',\n   [2,\n    [[False, 0],\n     [True, 1],\n     [True, 1],\n     [True, 0],\n     [False, 0],\n     [False, 0],\n     [False, 1],\n     [True, 0],\n     [False, 0],\n     [True, 0]]],\n   [['00', 0],\n    ['10', 0],\n    ['10', 0],\n    ['10', 0],\n    ['10', 0],\n    ['10', 0],\n    ['10', 0],\n    ['01', 0],\n    ['01', 0],\n    ['00', 1]]]],\n [['regression: scenario 3',\n   [6, [[False, 1], [False, 0], [True, 0], [True, 1], [True, 0], [False, 0], [True, 0], [True, 0]]],\n   [['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0]]],\n  ['regression: clock held high',\n   [2, [[True, 1], [True, 0], [True, 1], [False, 0], [True, 0]]],\n   [['10', 0], ['10', 0], ['10', 0], ['10', 0], ['01', 0]]],\n  ['regression: three stage track',\n   [3, [[True, 1], [False, 0], [True, 0], [False, 0], [True, 1], [False, 0], [True, 0]]],\n   [['100', 0], ['100', 0], ['010', 0], ['010', 0], ['101', 0], ['101', 0], ['010', 1]]],\n  ['regression: single stage',\n   [1, [[True, 1], [False, 0], [True, 0], [False, 1], [True, 1]]],\n   [['1', 0], ['1', 0], ['0', 1], ['0', 1], ['1', 0]]],\n  ['regression: sensor changes on edge scan',\n   [3, [[False, 1], [True, 0], [False, 0], [True, 1], [False, 0]]],\n   [['000', 0], ['000', 0], ['000', 0], ['100', 0], ['100', 0]]],\n  ['regression: scenario 1',\n   [4,\n    [[False, 0],\n     [False, 1],\n     [True, 1],\n     [True, 1],\n     [True, 1],\n     [True, 0],\n     [False, 1],\n     [True, 1],\n     [True, 0],\n     [False, 1],\n     [True, 1],\n     [True, 1]]],\n   [['0000', 0],\n    ['0000', 0],\n    ['1000', 0],\n    ['1000', 0],\n    ['1000', 0],\n    ['1000', 0],\n    ['1000', 0],\n    ['1100', 0],\n    ['1100', 0],\n    ['1100', 0],\n    ['1110', 0],\n    ['1110', 0]]],\n  ['regression: scenario 2',\n   [1,\n    [[True, 0],\n     [False, 0],\n     [False, 1],\n     [True, 1],\n     [False, 0],\n     [False, 0],\n     [True, 1],\n     [True, 1],\n     [True, 1],\n     [True, 1],\n     [False, 1],\n     [True, 0]]],\n   [['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['1', 0],\n    ['1', 0],\n    ['1', 0],\n    ['1', 1],\n    ['1', 1],\n    ['1', 1],\n    ['1', 1],\n    ['1', 1],\n    ['0', 1]]],\n  ['regression: scenario 4',\n   [2,\n    [[False, 0],\n     [True, 0],\n     [True, 0],\n     [False, 0],\n     [True, 0],\n     [False, 0],\n     [True, 1],\n     [True, 0],\n     [True, 0],\n     [True, 0]]],\n   [['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['10', 0],\n    ['10', 0],\n    ['10', 0],\n    ['10', 0]]]],\n [['regression: scenario 3',\n   [3,\n    [[False, 1],\n     [False, 1],\n     [True, 0],\n     [False, 0],\n     [False, 0],\n     [True, 1],\n     [True, 1],\n     [True, 0],\n     [False, 0],\n     [True, 0],\n     [True, 1],\n     [False, 0]]],\n   [['000', 0],\n    ['000', 0],\n    ['000', 0],\n    ['000', 0],\n    ['000', 0],\n    ['100', 0],\n    ['100', 0],\n    ['100', 0],\n    ['100', 0],\n    ['010', 0],\n    ['010', 0],\n    ['010', 0]]],\n  ['regression: sensor changes on edge scan',\n   [3, [[False, 1], [True, 0], [False, 0], [True, 1], [False, 0]]],\n   [['000', 0], ['000', 0], ['000', 0], ['100', 0], ['100', 0]]],\n  ['regression: three stage track',\n   [3, [[True, 1], [False, 0], [True, 0], [False, 0], [True, 1], [False, 0], [True, 0]]],\n   [['100', 0], ['100', 0], ['010', 0], ['010', 0], ['101', 0], ['101', 0], ['010', 1]]],\n  ['regression: single stage',\n   [1, [[True, 1], [False, 0], [True, 0], [False, 1], [True, 1]]],\n   [['1', 0], ['1', 0], ['0', 1], ['0', 1], ['1', 0]]],\n  ['regression: clock held high',\n   [2, [[True, 1], [True, 0], [True, 1], [False, 0], [True, 0]]],\n   [['10', 0], ['10', 0], ['10', 0], ['10', 0], ['01', 0]]],\n  ['regression: scenario 1',\n   [2, [[True, 0], [False, 1], [True, 0], [False, 0], [False, 1], [False, 1], [True, 1], [True, 1]]],\n   [['00', 0], ['00', 0], ['00', 0], ['00', 0], ['00', 0], ['00', 0], ['10', 0], ['10', 0]]],\n  ['regression: scenario 2',\n   [3,\n    [[True, 0],\n     [False, 1],\n     [False, 0],\n     [True, 0],\n     [True, 1],\n     [False, 0],\n     [True, 0],\n     [False, 0],\n     [False, 0],\n     [True, 1],\n     [False, 1],\n     [False, 1],\n     [True, 0],\n     [False, 0],\n     [True, 1]]],\n   [['000', 0],\n    ['000', 0],\n    ['000', 0],\n    ['000', 0],\n    ['000', 0],\n    ['000', 0],\n    ['000', 0],\n    ['000', 0],\n    ['000', 0],\n    ['100', 0],\n    ['100', 0],\n    ['100', 0],\n    ['010', 0],\n    ['010', 0],\n    ['101', 0]]],\n  ['regression: scenario 4',\n   [1,\n    [[True, 1],\n     [False, 0],\n     [False, 0],\n     [True, 1],\n     [True, 1],\n     [False, 1],\n     [False, 1],\n     [False, 0],\n     [False, 1],\n     [True, 0],\n     [False, 1],\n     [False, 0],\n     [True, 0],\n     [False, 1]]],\n   [['1', 0],\n    ['1', 0],\n    ['1', 0],\n    ['1', 1],\n    ['1', 1],\n    ['1', 1],\n    ['1', 1],\n    ['1', 1],\n    ['1', 1],\n    ['0', 1],\n    ['0', 1],\n    ['0', 1],\n    ['0', 0],\n    ['0', 0]]]],\n [['regression: scenario 5',\n   [6,\n    [[True, 0],\n     [True, 1],\n     [False, 0],\n     [False, 1],\n     [False, 0],\n     [False, 1],\n     [False, 0],\n     [False, 0],\n     [True, 1],\n     [True, 1],\n     [True, 1],\n     [False, 0],\n     [False, 1],\n     [False, 0],\n     [True, 0]]],\n   [['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['100000', 0],\n    ['100000', 0],\n    ['100000', 0],\n    ['100000', 0],\n    ['100000', 0],\n    ['100000', 0],\n    ['010000', 0]]],\n  ['regression: scenario 1',\n   [3,\n    [[False, 0],\n     [True, 1],\n     [True, 0],\n     [False, 0],\n     [False, 1],\n     [True, 0],\n     [True, 1],\n     [False, 0],\n     [True, 1],\n     [False, 1],\n     [True, 0],\n     [True, 1],\n     [False, 1],\n     [False, 1],\n     [True, 0]]],\n   [['000', 0],\n    ['100', 0],\n    ['100', 0],\n    ['100', 0],\n    ['100', 0],\n    ['010', 0],\n    ['010', 0],\n    ['010', 0],\n    ['101', 0],\n    ['101', 0],\n    ['010', 1],\n    ['010', 1],\n    ['010', 1],\n    ['010', 1],\n    ['001', 0]]],\n  ['regression: three stage track',\n   [3, [[True, 1], [False, 0], [True, 0], [False, 0], [True, 1], [False, 0], [True, 0]]],\n   [['100', 0], ['100', 0], ['010', 0], ['010', 0], ['101', 0], ['101', 0], ['010', 1]]],\n  ['regression: single stage',\n   [1, [[True, 1], [False, 0], [True, 0], [False, 1], [True, 1]]],\n   [['1', 0], ['1', 0], ['0', 1], ['0', 1], ['1', 0]]],\n  ['regression: clock held high',\n   [2, [[True, 1], [True, 0], [True, 1], [False, 0], [True, 0]]],\n   [['10', 0], ['10', 0], ['10', 0], ['10', 0], ['01', 0]]],\n  ['regression: sensor changes on edge scan',\n   [3, [[False, 1], [True, 0], [False, 0], [True, 1], [False, 0]]],\n   [['000', 0], ['000', 0], ['000', 0], ['100', 0], ['100', 0]]],\n  ['regression: scenario 2',\n   [6,\n    [[True, 0],\n     [True, 0],\n     [False, 0],\n     [True, 0],\n     [False, 1],\n     [False, 0],\n     [True, 0],\n     [False, 1],\n     [True, 0],\n     [True, 1],\n     [True, 1],\n     [False, 0]]],\n   [['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0]]],\n  ['control: scenario 3',\n   [5,\n    [[False, 0],\n     [False, 0],\n     [True, 0],\n     [False, 0],\n     [False, 0],\n     [True, 0],\n     [True, 0],\n     [False, 0],\n     [False, 1],\n     [False, 1],\n     [True, 0]]],\n   [['00000', 0],\n    ['00000', 0],\n    ['00000', 0],\n    ['00000', 0],\n    ['00000', 0],\n    ['00000', 0],\n    ['00000', 0],\n    ['00000', 0],\n    ['00000', 0],\n    ['00000', 0],\n    ['00000', 0]]]]]\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":"ad0dd306671f57fbce623afca11cf77a9ceefe0f68c42ee23c41d3245ed8e807","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(length, pulses):\n    bits = [0] * length\n    prev = False\n    unload = 0\n    out = []\n    for clock, sensor in pulses:\n        clock = bool(clock)\n        if clock:\n            unload = bits[length - 1]\n            bits = [1 if sensor else 0] + bits[:length - 1]\n        prev = clock\n        out.append([''.join(str(b) for b in bits), unload])\n    return out\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['regression: clock held high',\n   [2, [[True, 1], [True, 0], [True, 1], [False, 0], [True, 0]]],\n   [['10', 0], ['10', 0], ['10', 0], ['10', 0], ['01', 0]]],\n  ['regression: three stage track',\n   [3, [[True, 1], [False, 0], [True, 0], [False, 0], [True, 1], [False, 0], [True, 0]]],\n   [['100', 0], ['100', 0], ['010', 0], ['010', 0], ['101', 0], ['101', 0], ['010', 1]]],\n  ['regression: single stage',\n   [1, [[True, 1], [False, 0], [True, 0], [False, 1], [True, 1]]],\n   [['1', 0], ['1', 0], ['0', 1], ['0', 1], ['1', 0]]],\n  ['regression: sensor changes on edge scan',\n   [3, [[False, 1], [True, 0], [False, 0], [True, 1], [False, 0]]],\n   [['000', 0], ['000', 0], ['000', 0], ['100', 0], ['100', 0]]],\n  ['regression: scenario 1',\n   [6,\n    [[True, 0],\n     [True, 0],\n     [False, 1],\n     [False, 0],\n     [True, 0],\n     [True, 0],\n     [False, 0],\n     [True, 1],\n     [False, 1],\n     [False, 1],\n     [False, 1],\n     [True, 1],\n     [True, 0],\n     [False, 1],\n     [False, 0]]],\n   [['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['100000', 0],\n    ['100000', 0],\n    ['100000', 0],\n    ['100000', 0],\n    ['110000', 0],\n    ['110000', 0],\n    ['110000', 0],\n    ['110000', 0]]],\n  ['regression: scenario 2',\n   [2, [[False, 0], [False, 0], [False, 0], [False, 0], [False, 1], [True, 1], [False, 0], [True, 0]]],\n   [['00', 0], ['00', 0], ['00', 0], ['00', 0], ['00', 0], ['10', 0], ['10', 0], ['01', 0]]],\n  ['regression: scenario 3',\n   [5,\n    [[True, 0],\n     [True, 1],\n     [False, 0],\n     [True, 1],\n     [False, 0],\n     [False, 1],\n     [True, 0],\n     [True, 1],\n     [True, 0],\n     [True, 1],\n     [True, 0]]],\n   [['00000', 0],\n    ['00000', 0],\n    ['00000', 0],\n    ['10000', 0],\n    ['10000', 0],\n    ['10000', 0],\n    ['01000', 0],\n    ['01000', 0],\n    ['01000', 0],\n    ['01000', 0],\n    ['01000', 0]]],\n  ['regression: scenario 4',\n   [1,\n    [[False, 1],\n     [False, 1],\n     [True, 0],\n     [False, 1],\n     [True, 1],\n     [False, 0],\n     [False, 1],\n     [True, 0],\n     [True, 1],\n     [False, 0],\n     [False, 1],\n     [True, 0],\n     [False, 1],\n     [False, 1],\n     [True, 0],\n     [True, 0]]],\n   [['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['1', 0],\n    ['1', 0],\n    ['1', 0],\n    ['0', 1],\n    ['0', 1],\n    ['0', 1],\n    ['0', 1],\n    ['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['0', 0]]]],\n [['regression: scenario 1',\n   [2,\n    [[False, 1],\n     [False, 0],\n     [True, 0],\n     [False, 0],\n     [True, 0],\n     [True, 0],\n     [True, 0],\n     [True, 0],\n     [False, 0],\n     [False, 1],\n     [True, 0],\n     [True, 1],\n     [False, 1]]],\n   [['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0]]],\n  ['regression: single stage',\n   [1, [[True, 1], [False, 0], [True, 0], [False, 1], [True, 1]]],\n   [['1', 0], ['1', 0], ['0', 1], ['0', 1], ['1', 0]]],\n  ['regression: three stage track',\n   [3, [[True, 1], [False, 0], [True, 0], [False, 0], [True, 1], [False, 0], [True, 0]]],\n   [['100', 0], ['100', 0], ['010', 0], ['010', 0], ['101', 0], ['101', 0], ['010', 1]]],\n  ['regression: clock held high',\n   [2, [[True, 1], [True, 0], [True, 1], [False, 0], [True, 0]]],\n   [['10', 0], ['10', 0], ['10', 0], ['10', 0], ['01', 0]]],\n  ['regression: sensor changes on edge scan',\n   [3, [[False, 1], [True, 0], [False, 0], [True, 1], [False, 0]]],\n   [['000', 0], ['000', 0], ['000', 0], ['100', 0], ['100', 0]]],\n  ['regression: scenario 2',\n   [2,\n    [[True, 0], [False, 1], [False, 1], [True, 0], [False, 1], [False, 0], [True, 0], [False, 1], [True, 0]]],\n   [['00', 0], ['00', 0], ['00', 0], ['00', 0], ['00', 0], ['00', 0], ['00', 0], ['00', 0], ['00', 0]]],\n  ['regression: scenario 3',\n   [1,\n    [[False, 1],\n     [False, 0],\n     [True, 0],\n     [True, 0],\n     [True, 1],\n     [False, 1],\n     [False, 0],\n     [False, 1],\n     [True, 1],\n     [False, 0],\n     [True, 0],\n     [True, 0],\n     [True, 1],\n     [False, 0],\n     [True, 1],\n     [False, 0]]],\n   [['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['1', 0],\n    ['1', 0],\n    ['0', 1],\n    ['0', 1],\n    ['0', 1],\n    ['0', 1],\n    ['1', 0],\n    ['1', 0]]],\n  ['regression: scenario 4',\n   [2,\n    [[False, 0],\n     [True, 1],\n     [True, 1],\n     [True, 0],\n     [False, 0],\n     [False, 0],\n     [False, 1],\n     [True, 0],\n     [False, 0],\n     [True, 0]]],\n   [['00', 0],\n    ['10', 0],\n    ['10', 0],\n    ['10', 0],\n    ['10', 0],\n    ['10', 0],\n    ['10', 0],\n    ['01', 0],\n    ['01', 0],\n    ['00', 1]]]],\n [['regression: scenario 3',\n   [6, [[False, 1], [False, 0], [True, 0], [True, 1], [True, 0], [False, 0], [True, 0], [True, 0]]],\n   [['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0]]],\n  ['regression: clock held high',\n   [2, [[True, 1], [True, 0], [True, 1], [False, 0], [True, 0]]],\n   [['10', 0], ['10', 0], ['10', 0], ['10', 0], ['01', 0]]],\n  ['regression: three stage track',\n   [3, [[True, 1], [False, 0], [True, 0], [False, 0], [True, 1], [False, 0], [True, 0]]],\n   [['100', 0], ['100', 0], ['010', 0], ['010', 0], ['101', 0], ['101', 0], ['010', 1]]],\n  ['regression: single stage',\n   [1, [[True, 1], [False, 0], [True, 0], [False, 1], [True, 1]]],\n   [['1', 0], ['1', 0], ['0', 1], ['0', 1], ['1', 0]]],\n  ['regression: sensor changes on edge scan',\n   [3, [[False, 1], [True, 0], [False, 0], [True, 1], [False, 0]]],\n   [['000', 0], ['000', 0], ['000', 0], ['100', 0], ['100', 0]]],\n  ['regression: scenario 1',\n   [4,\n    [[False, 0],\n     [False, 1],\n     [True, 1],\n     [True, 1],\n     [True, 1],\n     [True, 0],\n     [False, 1],\n     [True, 1],\n     [True, 0],\n     [False, 1],\n     [True, 1],\n     [True, 1]]],\n   [['0000', 0],\n    ['0000', 0],\n    ['1000', 0],\n    ['1000', 0],\n    ['1000', 0],\n    ['1000', 0],\n    ['1000', 0],\n    ['1100', 0],\n    ['1100', 0],\n    ['1100', 0],\n    ['1110', 0],\n    ['1110', 0]]],\n  ['regression: scenario 2',\n   [1,\n    [[True, 0],\n     [False, 0],\n     [False, 1],\n     [True, 1],\n     [False, 0],\n     [False, 0],\n     [True, 1],\n     [True, 1],\n     [True, 1],\n     [True, 1],\n     [False, 1],\n     [True, 0]]],\n   [['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['1', 0],\n    ['1', 0],\n    ['1', 0],\n    ['1', 1],\n    ['1', 1],\n    ['1', 1],\n    ['1', 1],\n    ['1', 1],\n    ['0', 1]]],\n  ['regression: scenario 4',\n   [2,\n    [[False, 0],\n     [True, 0],\n     [True, 0],\n     [False, 0],\n     [True, 0],\n     [False, 0],\n     [True, 1],\n     [True, 0],\n     [True, 0],\n     [True, 0]]],\n   [['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['10', 0],\n    ['10', 0],\n    ['10', 0],\n    ['10', 0]]]],\n [['regression: scenario 3',\n   [3,\n    [[False, 1],\n     [False, 1],\n     [True, 0],\n     [False, 0],\n     [False, 0],\n     [True, 1],\n     [True, 1],\n     [True, 0],\n     [False, 0],\n     [True, 0],\n     [True, 1],\n     [False, 0]]],\n   [['000', 0],\n    ['000', 0],\n    ['000', 0],\n    ['000', 0],\n    ['000', 0],\n    ['100', 0],\n    ['100', 0],\n    ['100', 0],\n    ['100', 0],\n    ['010', 0],\n    ['010', 0],\n    ['010', 0]]],\n  ['regression: sensor changes on edge scan',\n   [3, [[False, 1], [True, 0], [False, 0], [True, 1], [False, 0]]],\n   [['000', 0], ['000', 0], ['000', 0], ['100', 0], ['100', 0]]],\n  ['regression: three stage track',\n   [3, [[True, 1], [False, 0], [True, 0], [False, 0], [True, 1], [False, 0], [True, 0]]],\n   [['100', 0], ['100', 0], ['010', 0], ['010', 0], ['101', 0], ['101', 0], ['010', 1]]],\n  ['regression: single stage',\n   [1, [[True, 1], [False, 0], [True, 0], [False, 1], [True, 1]]],\n   [['1', 0], ['1', 0], ['0', 1], ['0', 1], ['1', 0]]],\n  ['regression: clock held high',\n   [2, [[True, 1], [True, 0], [True, 1], [False, 0], [True, 0]]],\n   [['10', 0], ['10', 0], ['10', 0], ['10', 0], ['01', 0]]],\n  ['regression: scenario 1',\n   [2, [[True, 0], [False, 1], [True, 0], [False, 0], [False, 1], [False, 1], [True, 1], [True, 1]]],\n   [['00', 0], ['00', 0], ['00', 0], ['00', 0], ['00', 0], ['00', 0], ['10', 0], ['10', 0]]],\n  ['regression: scenario 2',\n   [3,\n    [[True, 0],\n     [False, 1],\n     [False, 0],\n     [True, 0],\n     [True, 1],\n     [False, 0],\n     [True, 0],\n     [False, 0],\n     [False, 0],\n     [True, 1],\n     [False, 1],\n     [False, 1],\n     [True, 0],\n     [False, 0],\n     [True, 1]]],\n   [['000', 0],\n    ['000', 0],\n    ['000', 0],\n    ['000', 0],\n    ['000', 0],\n    ['000', 0],\n    ['000', 0],\n    ['000', 0],\n    ['000', 0],\n    ['100', 0],\n    ['100', 0],\n    ['100', 0],\n    ['010', 0],\n    ['010', 0],\n    ['101', 0]]],\n  ['regression: scenario 4',\n   [1,\n    [[True, 1],\n     [False, 0],\n     [False, 0],\n     [True, 1],\n     [True, 1],\n     [False, 1],\n     [False, 1],\n     [False, 0],\n     [False, 1],\n     [True, 0],\n     [False, 1],\n     [False, 0],\n     [True, 0],\n     [False, 1]]],\n   [['1', 0],\n    ['1', 0],\n    ['1', 0],\n    ['1', 1],\n    ['1', 1],\n    ['1', 1],\n    ['1', 1],\n    ['1', 1],\n    ['1', 1],\n    ['0', 1],\n    ['0', 1],\n    ['0', 1],\n    ['0', 0],\n    ['0', 0]]]],\n [['regression: scenario 5',\n   [6,\n    [[True, 0],\n     [True, 1],\n     [False, 0],\n     [False, 1],\n     [False, 0],\n     [False, 1],\n     [False, 0],\n     [False, 0],\n     [True, 1],\n     [True, 1],\n     [True, 1],\n     [False, 0],\n     [False, 1],\n     [False, 0],\n     [True, 0]]],\n   [['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['100000', 0],\n    ['100000', 0],\n    ['100000', 0],\n    ['100000', 0],\n    ['100000', 0],\n    ['100000', 0],\n    ['010000', 0]]],\n  ['regression: scenario 1',\n   [3,\n    [[False, 0],\n     [True, 1],\n     [True, 0],\n     [False, 0],\n     [False, 1],\n     [True, 0],\n     [True, 1],\n     [False, 0],\n     [True, 1],\n     [False, 1],\n     [True, 0],\n     [True, 1],\n     [False, 1],\n     [False, 1],\n     [True, 0]]],\n   [['000', 0],\n    ['100', 0],\n    ['100', 0],\n    ['100', 0],\n    ['100', 0],\n    ['010', 0],\n    ['010', 0],\n    ['010', 0],\n    ['101', 0],\n    ['101', 0],\n    ['010', 1],\n    ['010', 1],\n    ['010', 1],\n    ['010', 1],\n    ['001', 0]]],\n  ['regression: three stage track',\n   [3, [[True, 1], [False, 0], [True, 0], [False, 0], [True, 1], [False, 0], [True, 0]]],\n   [['100', 0], ['100', 0], ['010', 0], ['010', 0], ['101', 0], ['101', 0], ['010', 1]]],\n  ['regression: single stage',\n   [1, [[True, 1], [False, 0], [True, 0], [False, 1], [True, 1]]],\n   [['1', 0], ['1', 0], ['0', 1], ['0', 1], ['1', 0]]],\n  ['regression: clock held high',\n   [2, [[True, 1], [True, 0], [True, 1], [False, 0], [True, 0]]],\n   [['10', 0], ['10', 0], ['10', 0], ['10', 0], ['01', 0]]],\n  ['regression: sensor changes on edge scan',\n   [3, [[False, 1], [True, 0], [False, 0], [True, 1], [False, 0]]],\n   [['000', 0], ['000', 0], ['000', 0], ['100', 0], ['100', 0]]],\n  ['regression: scenario 2',\n   [6,\n    [[True, 0],\n     [True, 0],\n     [False, 0],\n     [True, 0],\n     [False, 1],\n     [False, 0],\n     [True, 0],\n     [False, 1],\n     [True, 0],\n     [True, 1],\n     [True, 1],\n     [False, 0]]],\n   [['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0]]],\n  ['control: scenario 3',\n   [5,\n    [[False, 0],\n     [False, 0],\n     [True, 0],\n     [False, 0],\n     [False, 0],\n     [True, 0],\n     [True, 0],\n     [False, 0],\n     [False, 1],\n     [False, 1],\n     [True, 0]]],\n   [['00000', 0],\n    ['00000', 0],\n    ['00000', 0],\n    ['00000', 0],\n    ['00000', 0],\n    ['00000', 0],\n    ['00000', 0],\n    ['00000', 0],\n    ['00000', 0],\n    ['00000', 0],\n    ['00000', 0]]]]]\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":"50c0b316e9d8606b1b24cbebd880683c73760f8ec9920dc207141e0f8512cbf0","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(length, pulses):\n    bits = [0] * length\n    prev = False\n    unload = 0\n    out = []\n    for clock, sensor in pulses:\n        clock = bool(clock)\n        if clock and not prev:\n            unload = bits[length - 1]\n            bits = [1 if sensor else 0] + bits[:length - 1]\n        prev = clock\n        out.append([''.join(str(b) for b in bits), unload])\n    return out\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['regression: clock held high',\n   [2, [[True, 1], [True, 0], [True, 1], [False, 0], [True, 0]]],\n   [['10', 0], ['10', 0], ['10', 0], ['10', 0], ['01', 0]]],\n  ['regression: three stage track',\n   [3, [[True, 1], [False, 0], [True, 0], [False, 0], [True, 1], [False, 0], [True, 0]]],\n   [['100', 0], ['100', 0], ['010', 0], ['010', 0], ['101', 0], ['101', 0], ['010', 1]]],\n  ['regression: single stage',\n   [1, [[True, 1], [False, 0], [True, 0], [False, 1], [True, 1]]],\n   [['1', 0], ['1', 0], ['0', 1], ['0', 1], ['1', 0]]],\n  ['regression: sensor changes on edge scan',\n   [3, [[False, 1], [True, 0], [False, 0], [True, 1], [False, 0]]],\n   [['000', 0], ['000', 0], ['000', 0], ['100', 0], ['100', 0]]],\n  ['regression: scenario 1',\n   [6,\n    [[True, 0],\n     [True, 0],\n     [False, 1],\n     [False, 0],\n     [True, 0],\n     [True, 0],\n     [False, 0],\n     [True, 1],\n     [False, 1],\n     [False, 1],\n     [False, 1],\n     [True, 1],\n     [True, 0],\n     [False, 1],\n     [False, 0]]],\n   [['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['100000', 0],\n    ['100000', 0],\n    ['100000', 0],\n    ['100000', 0],\n    ['110000', 0],\n    ['110000', 0],\n    ['110000', 0],\n    ['110000', 0]]],\n  ['regression: scenario 2',\n   [2, [[False, 0], [False, 0], [False, 0], [False, 0], [False, 1], [True, 1], [False, 0], [True, 0]]],\n   [['00', 0], ['00', 0], ['00', 0], ['00', 0], ['00', 0], ['10', 0], ['10', 0], ['01', 0]]],\n  ['regression: scenario 3',\n   [5,\n    [[True, 0],\n     [True, 1],\n     [False, 0],\n     [True, 1],\n     [False, 0],\n     [False, 1],\n     [True, 0],\n     [True, 1],\n     [True, 0],\n     [True, 1],\n     [True, 0]]],\n   [['00000', 0],\n    ['00000', 0],\n    ['00000', 0],\n    ['10000', 0],\n    ['10000', 0],\n    ['10000', 0],\n    ['01000', 0],\n    ['01000', 0],\n    ['01000', 0],\n    ['01000', 0],\n    ['01000', 0]]],\n  ['regression: scenario 4',\n   [1,\n    [[False, 1],\n     [False, 1],\n     [True, 0],\n     [False, 1],\n     [True, 1],\n     [False, 0],\n     [False, 1],\n     [True, 0],\n     [True, 1],\n     [False, 0],\n     [False, 1],\n     [True, 0],\n     [False, 1],\n     [False, 1],\n     [True, 0],\n     [True, 0]]],\n   [['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['1', 0],\n    ['1', 0],\n    ['1', 0],\n    ['0', 1],\n    ['0', 1],\n    ['0', 1],\n    ['0', 1],\n    ['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['0', 0]]]],\n [['regression: scenario 1',\n   [2,\n    [[False, 1],\n     [False, 0],\n     [True, 0],\n     [False, 0],\n     [True, 0],\n     [True, 0],\n     [True, 0],\n     [True, 0],\n     [False, 0],\n     [False, 1],\n     [True, 0],\n     [True, 1],\n     [False, 1]]],\n   [['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0]]],\n  ['regression: single stage',\n   [1, [[True, 1], [False, 0], [True, 0], [False, 1], [True, 1]]],\n   [['1', 0], ['1', 0], ['0', 1], ['0', 1], ['1', 0]]],\n  ['regression: three stage track',\n   [3, [[True, 1], [False, 0], [True, 0], [False, 0], [True, 1], [False, 0], [True, 0]]],\n   [['100', 0], ['100', 0], ['010', 0], ['010', 0], ['101', 0], ['101', 0], ['010', 1]]],\n  ['regression: clock held high',\n   [2, [[True, 1], [True, 0], [True, 1], [False, 0], [True, 0]]],\n   [['10', 0], ['10', 0], ['10', 0], ['10', 0], ['01', 0]]],\n  ['regression: sensor changes on edge scan',\n   [3, [[False, 1], [True, 0], [False, 0], [True, 1], [False, 0]]],\n   [['000', 0], ['000', 0], ['000', 0], ['100', 0], ['100', 0]]],\n  ['regression: scenario 2',\n   [2,\n    [[True, 0], [False, 1], [False, 1], [True, 0], [False, 1], [False, 0], [True, 0], [False, 1], [True, 0]]],\n   [['00', 0], ['00', 0], ['00', 0], ['00', 0], ['00', 0], ['00', 0], ['00', 0], ['00', 0], ['00', 0]]],\n  ['regression: scenario 3',\n   [1,\n    [[False, 1],\n     [False, 0],\n     [True, 0],\n     [True, 0],\n     [True, 1],\n     [False, 1],\n     [False, 0],\n     [False, 1],\n     [True, 1],\n     [False, 0],\n     [True, 0],\n     [True, 0],\n     [True, 1],\n     [False, 0],\n     [True, 1],\n     [False, 0]]],\n   [['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['1', 0],\n    ['1', 0],\n    ['0', 1],\n    ['0', 1],\n    ['0', 1],\n    ['0', 1],\n    ['1', 0],\n    ['1', 0]]],\n  ['regression: scenario 4',\n   [2,\n    [[False, 0],\n     [True, 1],\n     [True, 1],\n     [True, 0],\n     [False, 0],\n     [False, 0],\n     [False, 1],\n     [True, 0],\n     [False, 0],\n     [True, 0]]],\n   [['00', 0],\n    ['10', 0],\n    ['10', 0],\n    ['10', 0],\n    ['10', 0],\n    ['10', 0],\n    ['10', 0],\n    ['01', 0],\n    ['01', 0],\n    ['00', 1]]]],\n [['regression: scenario 3',\n   [6, [[False, 1], [False, 0], [True, 0], [True, 1], [True, 0], [False, 0], [True, 0], [True, 0]]],\n   [['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0]]],\n  ['regression: clock held high',\n   [2, [[True, 1], [True, 0], [True, 1], [False, 0], [True, 0]]],\n   [['10', 0], ['10', 0], ['10', 0], ['10', 0], ['01', 0]]],\n  ['regression: three stage track',\n   [3, [[True, 1], [False, 0], [True, 0], [False, 0], [True, 1], [False, 0], [True, 0]]],\n   [['100', 0], ['100', 0], ['010', 0], ['010', 0], ['101', 0], ['101', 0], ['010', 1]]],\n  ['regression: single stage',\n   [1, [[True, 1], [False, 0], [True, 0], [False, 1], [True, 1]]],\n   [['1', 0], ['1', 0], ['0', 1], ['0', 1], ['1', 0]]],\n  ['regression: sensor changes on edge scan',\n   [3, [[False, 1], [True, 0], [False, 0], [True, 1], [False, 0]]],\n   [['000', 0], ['000', 0], ['000', 0], ['100', 0], ['100', 0]]],\n  ['regression: scenario 1',\n   [4,\n    [[False, 0],\n     [False, 1],\n     [True, 1],\n     [True, 1],\n     [True, 1],\n     [True, 0],\n     [False, 1],\n     [True, 1],\n     [True, 0],\n     [False, 1],\n     [True, 1],\n     [True, 1]]],\n   [['0000', 0],\n    ['0000', 0],\n    ['1000', 0],\n    ['1000', 0],\n    ['1000', 0],\n    ['1000', 0],\n    ['1000', 0],\n    ['1100', 0],\n    ['1100', 0],\n    ['1100', 0],\n    ['1110', 0],\n    ['1110', 0]]],\n  ['regression: scenario 2',\n   [1,\n    [[True, 0],\n     [False, 0],\n     [False, 1],\n     [True, 1],\n     [False, 0],\n     [False, 0],\n     [True, 1],\n     [True, 1],\n     [True, 1],\n     [True, 1],\n     [False, 1],\n     [True, 0]]],\n   [['0', 0],\n    ['0', 0],\n    ['0', 0],\n    ['1', 0],\n    ['1', 0],\n    ['1', 0],\n    ['1', 1],\n    ['1', 1],\n    ['1', 1],\n    ['1', 1],\n    ['1', 1],\n    ['0', 1]]],\n  ['regression: scenario 4',\n   [2,\n    [[False, 0],\n     [True, 0],\n     [True, 0],\n     [False, 0],\n     [True, 0],\n     [False, 0],\n     [True, 1],\n     [True, 0],\n     [True, 0],\n     [True, 0]]],\n   [['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['00', 0],\n    ['10', 0],\n    ['10', 0],\n    ['10', 0],\n    ['10', 0]]]],\n [['regression: scenario 3',\n   [3,\n    [[False, 1],\n     [False, 1],\n     [True, 0],\n     [False, 0],\n     [False, 0],\n     [True, 1],\n     [True, 1],\n     [True, 0],\n     [False, 0],\n     [True, 0],\n     [True, 1],\n     [False, 0]]],\n   [['000', 0],\n    ['000', 0],\n    ['000', 0],\n    ['000', 0],\n    ['000', 0],\n    ['100', 0],\n    ['100', 0],\n    ['100', 0],\n    ['100', 0],\n    ['010', 0],\n    ['010', 0],\n    ['010', 0]]],\n  ['regression: sensor changes on edge scan',\n   [3, [[False, 1], [True, 0], [False, 0], [True, 1], [False, 0]]],\n   [['000', 0], ['000', 0], ['000', 0], ['100', 0], ['100', 0]]],\n  ['regression: three stage track',\n   [3, [[True, 1], [False, 0], [True, 0], [False, 0], [True, 1], [False, 0], [True, 0]]],\n   [['100', 0], ['100', 0], ['010', 0], ['010', 0], ['101', 0], ['101', 0], ['010', 1]]],\n  ['regression: single stage',\n   [1, [[True, 1], [False, 0], [True, 0], [False, 1], [True, 1]]],\n   [['1', 0], ['1', 0], ['0', 1], ['0', 1], ['1', 0]]],\n  ['regression: clock held high',\n   [2, [[True, 1], [True, 0], [True, 1], 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[True, 1], [False, 0], [True, 0]]],\n   [['10', 0], ['10', 0], ['10', 0], ['10', 0], ['01', 0]]],\n  ['regression: sensor changes on edge scan',\n   [3, [[False, 1], [True, 0], [False, 0], [True, 1], [False, 0]]],\n   [['000', 0], ['000', 0], ['000', 0], ['100', 0], ['100', 0]]],\n  ['regression: scenario 2',\n   [6,\n    [[True, 0],\n     [True, 0],\n     [False, 0],\n     [True, 0],\n     [False, 1],\n     [False, 0],\n     [True, 0],\n     [False, 1],\n     [True, 0],\n     [True, 1],\n     [True, 1],\n     [False, 0]]],\n   [['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0],\n    ['000000', 0]]],\n  ['control: scenario 3',\n   [5,\n    [[False, 0],\n     [False, 0],\n     [True, 0],\n     [False, 0],\n     [False, 0],\n     [True, 0],\n     [True, 0],\n     [False, 0],\n     [False, 1],\n     [False, 1],\n     [True, 0]]],\n   [['00000', 0],\n    ['00000', 0],\n    ['00000', 0],\n    ['00000', 0],\n    ['00000', 0],\n    ['00000', 0],\n    ['00000', 0],\n    ['00000', 0],\n    ['00000', 0],\n    ['00000', 0],\n    ['00000', 0]]]]]\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-bsl-conveyor-tracking-clock-edge","generated_at":"2026-09-29T14:51:42.585296+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":"Shift only on a false-to-true clock transition.","root_cause":"The shift condition tests the clock level instead of its rising edge.","sha256":"33b042bfb2c5778627298741a6cf64c71c0ad70cc70b1da2b6d657cb1fb1b0b7","title":"Shift register shifts every scan 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