{"abstract":"A part that arrives on the same scan as the encoder edge is not tracked.","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.","contract_signature":"length, pulses","evaluation_group":"w2-plc-ladder-logic-scan-cycles-bsl-conveyor-tracking","failed_approach":"ORing the current and previous sensor samples tracks phantom parts.","family":"w2-plc-ladder-logic-scan-cycles-bsl-conveyor-tracking-sensor-sample-scan","id":"FA-92126","implementations":{"attempt":{"sha256":"a1c7befb2cb906c51fcae54b13c085efd182d620bd32aa8fdb0d102676cccb41","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    last_sensor = 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 or last_sensor) else 0] + bits[:length - 1]\n        prev = clock\n        last_sensor = sensor\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: 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: 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: 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   [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  ['control: 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: 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: 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: 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: 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 6',\n   [6,\n    [[False, 1],\n     [True, 0],\n     [False, 0],\n     [True, 0],\n     [True, 0],\n     [False, 1],\n     [True, 0],\n     [True, 0],\n     [False, 1],\n     [False, 0],\n     [True, 1],\n     [True, 1],\n     [True, 0],\n     [False, 1]]],\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    ['100000', 0],\n    ['100000', 0],\n    ['100000', 0],\n    ['100000', 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  ['control: 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  ['control: 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: 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 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: 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 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: 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: scenario 9',\n   [2, [[False, 1], [True, 0], [False, 1], [True, 0], [True, 1], [False, 0], [True, 0], [False, 1]]],\n   [['00', 0], ['00', 0], ['00', 0], ['00', 0], ['00', 0], ['00', 0], ['00', 0], ['00', 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  ['regression: 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":"ac7063f9eccbb8b9a99b0649b513b90f6945126392f74fb0d6fb3fa2c68a5ba4","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    last_sensor = 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 last_sensor else 0] + bits[:length - 1]\n        prev = clock\n        last_sensor = sensor\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: 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: 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: 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   [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  ['control: 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: 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: 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: 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: 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 6',\n   [6,\n    [[False, 1],\n     [True, 0],\n     [False, 0],\n     [True, 0],\n     [True, 0],\n     [False, 1],\n     [True, 0],\n     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['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', 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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: scenario 9',\n   [2, [[False, 1], [True, 0], [False, 1], [True, 0], [True, 1], [False, 0], [True, 0], [False, 1]]],\n   [['00', 0], ['00', 0], ['00', 0], ['00', 0], ['00', 0], ['00', 0], ['00', 0], ['00', 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  ['regression: 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-sensor-sample-scan","generated_at":"2026-09-29T14:51:42.670326+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.","root_cause":"The load bit uses a sensor value latched on the prior scan.","sha256":"de42543defc33e8ac542bdad53bf9b170916190d3609bbc60678712d42e3d974","title":"Shift register loads the sensor value from the previous scan · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verified":true,"visibility":"public","verification":{"attempt":{"elapsed_ms":40.568,"exit_code":1,"observations":[{"actual":[["100",0],["100",0],["010",0],["010",0],["101",0],["101",0],["010",1]],"check":"regression: three stage track","expected":[["100",0],["100",0],["010",0],["010",0],["101",0],["101",0],["010",1]],"passed":true},{"actual":[["000",0],["100",0],["100",0],["110",0],["110",0]],"check":"regression: sensor changes on edge scan","expected":[["000",0],["000",0],["000",0],["100",0],["100",0]],"passed":false},{"actual":[["1",0],["1",0],["0",1],["0",1],["1",0]],"check":"regression: single stage","expected":[["1",0],["1",0],["0",1],["0",1],["1",0]],"passed":true},{"actual":[["10",0],["10",0],["10",0],["10",0],["01",0]],"check":"regression: clock held 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