{"abstract":"Photos from big-endian (MM) writers always display unrotated while little-endian files work.","category":"Image orientation metadata","checks":8,"contract":"Parse the orientation from an APP1 Exif payload given as a list of byte values: a 6-byte \"Exif\\0\\0\" header, then a TIFF header (II little-endian or MM big-endian, magic 42 as a 16-bit value, 32-bit IFD0 offset relative to the TIFF header). Scan IFD0 12-byte entries; the first entry with tag 0x0112, type SHORT (3) and count 1 supplies the value from the first two bytes of its value field. Values outside 1..8 and a missing entry yield 1; structural problems (short payload, bad header, byte order, magic, truncated entry) yield \"malformed\".","evaluation_group":"w2-image-orientation-metadata-tiff-ifd0-parse","failed_approach":"Reading the second half of the field picks up padding in both byte orders.","family":"w2-image-orientation-metadata-tiff-ifd0-parse-value-field-width","id":"FA-78906","implementations":{"attempt":{"sha256":"60415d520710f3ffe736a269b35f6a619765d60098584098a677c9271f8aedf8","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(data):\n    b = data\n    if len(b) < 14 or b[:6] != [69, 120, 105, 102, 0, 0]:\n        return 'malformed'\n    t = b[6:]\n    if t[:2] == [73, 73]:\n        le = True\n    elif t[:2] == [77, 77]:\n        le = False\n    else:\n        return 'malformed'\n    def u16(o):\n        if o + 2 > len(t):\n            return None\n        return t[o] | (t[o + 1] << 8) if le else (t[o] << 8) | t[o + 1]\n    def u32(o):\n        if o + 4 > len(t):\n            return None\n        v = t[o:o + 4]\n        if le:\n            v = v[::-1]\n        return (v[0] << 24) | (v[1] << 16) | (v[2] << 8) | v[3]\n    if u16(2) != 42:\n        return 'malformed'\n    ifd = u32(4)\n    count = u16(ifd)\n    if count is None:\n        return 'malformed'\n    for i in range(count):\n        e = ifd + 2 + 12 * i\n        if e + 12 > len(t):\n            return 'malformed'\n        tag = u16(e)\n        typ = u16(e + 2)\n        cnt = u32(e + 4)\n        if tag == 0x0112 and typ == 3 and cnt == 1:\n            val = u16(e + 10)\n            return val if 1 <= val <= 8 else 1\n    return 1\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[[[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 4, 1, 18, 0, 4, 0, 0, 0, 1, 0, 0, 0, 8, 1, 16, 0, 3, 0, 0, 0, 1, 1, 77, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 3, 0, 0, 1, 26, 0, 3, 0, 0, 0, 1, 1, 10, 0, 0, 0, 0, 0, 0], 3], [[69, 120, 105, 102, 0, 0, 73, 73, 42, 0, 10, 0, 0, 0, 0, 0, 4, 0, 18, 1, 3, 0, 1, 0, 0, 0, 8, 0, 0, 0, 18, 1, 3, 0, 1, 0, 0, 0, 3, 0, 0, 0, 26, 1, 3, 0, 1, 0, 0, 0, 94, 1, 0, 0, 16, 1, 3, 0, 1, 0], 8], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 10, 0, 0, 0, 4, 1, 15, 0, 3, 0, 0, 0, 1, 1, 215, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 6, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 1, 23, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 0, 144, 0, 0, 0, 0, 0, 0], 6], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 3, 1, 15, 0, 3, 0, 0, 0, 1, 0, 7, 0, 0, 1, 26, 0, 3, 0, 0, 0, 1, 0, 114, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 0, 0, 0], 1], [[69, 120, 105, 102, 0, 0, 73, 73, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 26, 1, 3, 0, 1, 0, 0, 0, 126, 1, 0], 'malformed'], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 43, 0, 0, 0, 8, 0, 1, 1, 18, 0, 3, 0, 0, 0, 1, 0, 4, 0, 0, 0, 0, 0, 0], 'malformed'], [[69, 120, 105, 102, 0, 0, 73, 73, 42, 0, 10, 0, 0, 0, 0, 0, 2, 0, 15, 1, 3, 0, 1, 0, 0, 0, 73, 0, 0, 0, 26, 1, 3, 0, 1, 0, 0, 0, 37, 0, 0, 0, 0, 0, 0, 0], 1], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 3, 1, 18, 0, 3, 0, 0, 0, 1, 0, 5, 0, 0, 1, 15, 0, 3, 0, 0, 0, 1, 0, 155, 0, 0, 1, 26, 0, 3, 0, 0, 0, 1, 0, 58, 0, 0, 0, 0, 0, 0], 5]], [[[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 1, 1, 18, 0, 3, 0, 0, 0, 1, 0, 6, 0, 0, 0, 0, 0, 0], 6], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 10, 0, 0, 0, 5, 1, 18, 0, 4, 0, 0, 0, 2, 0, 0, 0, 8, 1, 26, 0, 3, 0, 0, 0, 1, 1, 15, 0, 0, 1, 15, 0, 3, 0, 0, 0, 1, 0, 190, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 6, 0, 0, 1, 15, 0, 3, 0, 0, 0, 1, 1, 77, 0, 0, 0, 0, 0, 0], 6], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 2, 1, 18, 0, 3, 0, 0, 0, 1, 0, 8, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 5, 0, 0, 0, 0, 0, 0], 8], [[69, 120, 105, 102, 0, 255, 77, 77, 0, 42, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 2, 1, 18, 0, 3, 0, 0, 0, 1, 0, 1, 0, 0, 1, 26, 0, 3, 0, 0, 0, 1, 0, 46, 0, 0, 0, 0, 0, 0], 'malformed'], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 3, 1, 15, 0, 3, 0, 0, 0, 1, 1, 96, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 0, 0, 0, 1, 15, 0, 3, 0, 0, 0, 1, 1, 150], 1], [[69, 120, 105, 102, 0, 0, 73, 73, 43, 0, 14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'malformed'], [[69, 120, 105, 102, 0, 255, 77, 77, 0, 42, 0, 0, 0, 8, 0, 5, 1, 18, 0, 4, 0, 0, 0, 2, 0, 0, 0, 6, 1, 26, 0, 3, 0, 0, 0, 1, 1, 200, 0, 0, 1, 26, 0, 3, 0, 0, 0, 1, 0, 17, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 9, 0, 0, 1, 26, 0, 3, 0, 0, 0, 1, 0, 111, 0, 0, 0, 0, 0, 0], 'malformed'], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 3, 1, 18, 0, 3, 0, 0, 0, 1, 0, 6, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 0, 24, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 1, 64, 0, 0, 0, 0, 0, 0], 6]], [[[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 10, 0, 0, 0, 4, 1, 18, 0, 3, 0, 0, 0, 2, 0, 3, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 6, 0, 0, 1, 15, 0, 3, 0, 0, 0, 1, 0, 195, 0, 0, 1, 26, 0, 3, 0, 0, 0, 1, 0, 238, 0, 0, 0, 0, 0, 0], 6], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 4, 1, 18, 0, 3, 0, 0, 0, 2, 0, 8, 0, 0, 1, 15, 0, 3, 0, 0, 0, 1, 0, 242, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 8, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 1, 214, 0, 0, 0, 0, 0, 0], 8], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 10, 0, 0, 0, 2, 1, 18, 0, 3, 0, 0, 0, 1, 0, 5, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 1, 174, 0, 0, 0, 0, 0, 0], 5], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 10, 0, 0, 0, 1, 1, 18, 0, 4, 0, 0, 0, 2, 0, 0, 0, 6], 1], [[69, 120, 105, 102, 0, 0, 73, 73, 42, 0, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 1], [[69, 120, 105, 102, 0, 0, 73, 73, 42, 0, 14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 18, 1, 4, 0, 2, 0, 0, 0, 8, 0, 0, 0, 16, 1, 3, 0, 1, 0, 0, 0, 133, 1, 0, 0], 1], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 2, 1, 26, 0, 3, 0, 0, 0, 1, 0, 126, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1], 'malformed'], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 2, 1, 18, 0, 3, 0, 0, 0, 1, 0, 8, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 6, 0], 8]], [[[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 5, 1, 18, 0, 4, 0, 0, 0, 2, 0, 0, 0, 8, 1, 18, 0, 3, 0, 0, 0, 1, 0, 3, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 0, 215, 0, 0, 1, 26, 0, 3, 0, 0, 0, 1, 0, 132, 0, 0, 1, 15, 0, 3, 0, 0, 0, 1, 1, 124], 3], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 10, 0, 0, 0, 3, 1, 15, 0, 3, 0, 0, 0, 1, 1, 171, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 3, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 1, 47, 0], 3], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 1, 1, 18, 0, 3, 0, 0, 0, 1, 0, 7, 0, 0, 0, 0, 0, 0], 7], [[69, 120, 105, 102, 0, 0, 73, 73, 42, 0, 8, 0, 0, 0, 3, 0, 26, 1, 3, 0, 1, 0, 0, 0, 17, 0, 0, 0, 15, 1, 3, 0, 1, 0, 0, 0, 37, 1, 0, 0, 15, 1, 3, 0, 1, 0, 0, 0, 233, 0, 0, 0, 0, 0, 0, 0], 1], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 1, 1, 15, 0, 3], 'malformed'], [[69, 120, 105, 102, 255, 225, 77, 77, 42, 0, 0, 0, 0, 8, 0, 1, 1, 18, 0, 3, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], 'malformed'], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 43, 0, 0, 0, 8, 0, 2, 1, 26, 0, 3, 0, 0, 0, 1, 0, 60, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 7, 0], 'malformed'], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 3, 1, 16, 0, 3, 0, 0, 0, 1, 0, 82, 0, 0, 1, 26, 0, 3, 0, 0, 0, 1, 1, 3, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 7, 0, 0, 0, 0, 0, 0], 7]], [[[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 10, 0, 0, 0, 2, 1, 18, 0, 3, 0, 0, 0, 1, 0, 8, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 0, 171, 0, 0, 0, 0, 0, 0], 8], [[69, 120, 105, 102, 0, 0, 73, 73, 42, 0, 10, 0, 0, 0, 0, 0, 1, 0, 18, 1, 3, 0, 1, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0], 7], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 1, 1, 18, 0, 3, 0, 0, 0, 1, 0, 6, 0, 0, 0, 0, 0, 0], 6], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 3, 1, 16, 0, 3, 0, 0, 0, 1, 0, 196, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 1, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 0, 141, 0, 0, 0, 0, 0, 0], 1], [[69, 120, 105, 102, 0, 0, 73, 73, 42, 0, 10, 0, 0, 0, 0], 'malformed'], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 1], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 3, 1, 16, 0, 3, 0, 0, 0, 1, 0, 214, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 0, 228, 0, 0, 1, 15, 0, 3, 0, 0, 0, 1, 1, 173, 0, 0, 0, 0, 0, 0], 1], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 2, 1, 18, 0, 3, 0, 0, 0, 1, 0, 2, 0, 0, 1, 15, 0, 3, 0, 0, 0, 1, 1, 135, 0, 0, 0, 0, 0, 0], 2]]]\nlabels = [\"regression: SHORT value field width\", \"repair trap\", \"combined fault\", \"control\", \"control\", \"boundary\", \"boundary\", \"control\"]\nfor i, (args, expected) in enumerate(fixtures[N-1]):\n    check(\"%s %d\" % (labels[i % len(labels)], i), 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":"1f87f0f005f755aa503e093a23553efea4adffd1a304e75216457fba7ccee727","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(data):\n    b = data\n    if len(b) < 14 or b[:6] != [69, 120, 105, 102, 0, 0]:\n        return 'malformed'\n    t = b[6:]\n    if t[:2] == [73, 73]:\n        le = True\n    elif t[:2] == [77, 77]:\n        le = False\n    else:\n        return 'malformed'\n    def u16(o):\n        if o + 2 > len(t):\n            return None\n        return t[o] | (t[o + 1] << 8) if le else (t[o] << 8) | t[o + 1]\n    def u32(o):\n        if o + 4 > len(t):\n            return None\n        v = t[o:o + 4]\n        if le:\n            v = v[::-1]\n        return (v[0] << 24) | (v[1] << 16) | (v[2] << 8) | v[3]\n    if u16(2) != 42:\n        return 'malformed'\n    ifd = u32(4)\n    count = u16(ifd)\n    if count is None:\n        return 'malformed'\n    for i in range(count):\n        e = ifd + 2 + 12 * i\n        if e + 12 > len(t):\n            return 'malformed'\n        tag = u16(e)\n        typ = u16(e + 2)\n        cnt = u32(e + 4)\n        if tag == 0x0112 and typ == 3 and cnt == 1:\n            val = u32(e + 8)\n            return val if 1 <= val <= 8 else 1\n    return 1\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[[[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 4, 1, 18, 0, 4, 0, 0, 0, 1, 0, 0, 0, 8, 1, 16, 0, 3, 0, 0, 0, 1, 1, 77, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 3, 0, 0, 1, 26, 0, 3, 0, 0, 0, 1, 1, 10, 0, 0, 0, 0, 0, 0], 3], [[69, 120, 105, 102, 0, 0, 73, 73, 42, 0, 10, 0, 0, 0, 0, 0, 4, 0, 18, 1, 3, 0, 1, 0, 0, 0, 8, 0, 0, 0, 18, 1, 3, 0, 1, 0, 0, 0, 3, 0, 0, 0, 26, 1, 3, 0, 1, 0, 0, 0, 94, 1, 0, 0, 16, 1, 3, 0, 1, 0], 8], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 10, 0, 0, 0, 4, 1, 15, 0, 3, 0, 0, 0, 1, 1, 215, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 6, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 1, 23, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 0, 144, 0, 0, 0, 0, 0, 0], 6], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 3, 1, 15, 0, 3, 0, 0, 0, 1, 0, 7, 0, 0, 1, 26, 0, 3, 0, 0, 0, 1, 0, 114, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 0, 0, 0], 1], [[69, 120, 105, 102, 0, 0, 73, 73, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 26, 1, 3, 0, 1, 0, 0, 0, 126, 1, 0], 'malformed'], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 43, 0, 0, 0, 8, 0, 1, 1, 18, 0, 3, 0, 0, 0, 1, 0, 4, 0, 0, 0, 0, 0, 0], 'malformed'], [[69, 120, 105, 102, 0, 0, 73, 73, 42, 0, 10, 0, 0, 0, 0, 0, 2, 0, 15, 1, 3, 0, 1, 0, 0, 0, 73, 0, 0, 0, 26, 1, 3, 0, 1, 0, 0, 0, 37, 0, 0, 0, 0, 0, 0, 0], 1], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 3, 1, 18, 0, 3, 0, 0, 0, 1, 0, 5, 0, 0, 1, 15, 0, 3, 0, 0, 0, 1, 0, 155, 0, 0, 1, 26, 0, 3, 0, 0, 0, 1, 0, 58, 0, 0, 0, 0, 0, 0], 5]], [[[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 1, 1, 18, 0, 3, 0, 0, 0, 1, 0, 6, 0, 0, 0, 0, 0, 0], 6], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 10, 0, 0, 0, 5, 1, 18, 0, 4, 0, 0, 0, 2, 0, 0, 0, 8, 1, 26, 0, 3, 0, 0, 0, 1, 1, 15, 0, 0, 1, 15, 0, 3, 0, 0, 0, 1, 0, 190, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 6, 0, 0, 1, 15, 0, 3, 0, 0, 0, 1, 1, 77, 0, 0, 0, 0, 0, 0], 6], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 2, 1, 18, 0, 3, 0, 0, 0, 1, 0, 8, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 5, 0, 0, 0, 0, 0, 0], 8], [[69, 120, 105, 102, 0, 255, 77, 77, 0, 42, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 2, 1, 18, 0, 3, 0, 0, 0, 1, 0, 1, 0, 0, 1, 26, 0, 3, 0, 0, 0, 1, 0, 46, 0, 0, 0, 0, 0, 0], 'malformed'], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 3, 1, 15, 0, 3, 0, 0, 0, 1, 1, 96, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 0, 0, 0, 1, 15, 0, 3, 0, 0, 0, 1, 1, 150], 1], [[69, 120, 105, 102, 0, 0, 73, 73, 43, 0, 14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'malformed'], [[69, 120, 105, 102, 0, 255, 77, 77, 0, 42, 0, 0, 0, 8, 0, 5, 1, 18, 0, 4, 0, 0, 0, 2, 0, 0, 0, 6, 1, 26, 0, 3, 0, 0, 0, 1, 1, 200, 0, 0, 1, 26, 0, 3, 0, 0, 0, 1, 0, 17, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 9, 0, 0, 1, 26, 0, 3, 0, 0, 0, 1, 0, 111, 0, 0, 0, 0, 0, 0], 'malformed'], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 3, 1, 18, 0, 3, 0, 0, 0, 1, 0, 6, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 0, 24, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 1, 64, 0, 0, 0, 0, 0, 0], 6]], [[[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 10, 0, 0, 0, 4, 1, 18, 0, 3, 0, 0, 0, 2, 0, 3, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 6, 0, 0, 1, 15, 0, 3, 0, 0, 0, 1, 0, 195, 0, 0, 1, 26, 0, 3, 0, 0, 0, 1, 0, 238, 0, 0, 0, 0, 0, 0], 6], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 4, 1, 18, 0, 3, 0, 0, 0, 2, 0, 8, 0, 0, 1, 15, 0, 3, 0, 0, 0, 1, 0, 242, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 8, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 1, 214, 0, 0, 0, 0, 0, 0], 8], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 10, 0, 0, 0, 2, 1, 18, 0, 3, 0, 0, 0, 1, 0, 5, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 1, 174, 0, 0, 0, 0, 0, 0], 5], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 10, 0, 0, 0, 1, 1, 18, 0, 4, 0, 0, 0, 2, 0, 0, 0, 6], 1], [[69, 120, 105, 102, 0, 0, 73, 73, 42, 0, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 1], [[69, 120, 105, 102, 0, 0, 73, 73, 42, 0, 14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 18, 1, 4, 0, 2, 0, 0, 0, 8, 0, 0, 0, 16, 1, 3, 0, 1, 0, 0, 0, 133, 1, 0, 0], 1], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 2, 1, 26, 0, 3, 0, 0, 0, 1, 0, 126, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1], 'malformed'], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 2, 1, 18, 0, 3, 0, 0, 0, 1, 0, 8, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 6, 0], 8]], [[[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 5, 1, 18, 0, 4, 0, 0, 0, 2, 0, 0, 0, 8, 1, 18, 0, 3, 0, 0, 0, 1, 0, 3, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 0, 215, 0, 0, 1, 26, 0, 3, 0, 0, 0, 1, 0, 132, 0, 0, 1, 15, 0, 3, 0, 0, 0, 1, 1, 124], 3], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 10, 0, 0, 0, 3, 1, 15, 0, 3, 0, 0, 0, 1, 1, 171, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 3, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 1, 47, 0], 3], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 1, 1, 18, 0, 3, 0, 0, 0, 1, 0, 7, 0, 0, 0, 0, 0, 0], 7], [[69, 120, 105, 102, 0, 0, 73, 73, 42, 0, 8, 0, 0, 0, 3, 0, 26, 1, 3, 0, 1, 0, 0, 0, 17, 0, 0, 0, 15, 1, 3, 0, 1, 0, 0, 0, 37, 1, 0, 0, 15, 1, 3, 0, 1, 0, 0, 0, 233, 0, 0, 0, 0, 0, 0, 0], 1], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 1, 1, 15, 0, 3], 'malformed'], [[69, 120, 105, 102, 255, 225, 77, 77, 42, 0, 0, 0, 0, 8, 0, 1, 1, 18, 0, 3, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], 'malformed'], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 43, 0, 0, 0, 8, 0, 2, 1, 26, 0, 3, 0, 0, 0, 1, 0, 60, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 7, 0], 'malformed'], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 3, 1, 16, 0, 3, 0, 0, 0, 1, 0, 82, 0, 0, 1, 26, 0, 3, 0, 0, 0, 1, 1, 3, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 7, 0, 0, 0, 0, 0, 0], 7]], [[[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 10, 0, 0, 0, 2, 1, 18, 0, 3, 0, 0, 0, 1, 0, 8, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 0, 171, 0, 0, 0, 0, 0, 0], 8], [[69, 120, 105, 102, 0, 0, 73, 73, 42, 0, 10, 0, 0, 0, 0, 0, 1, 0, 18, 1, 3, 0, 1, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0], 7], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 1, 1, 18, 0, 3, 0, 0, 0, 1, 0, 6, 0, 0, 0, 0, 0, 0], 6], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 3, 1, 16, 0, 3, 0, 0, 0, 1, 0, 196, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 1, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 0, 141, 0, 0, 0, 0, 0, 0], 1], [[69, 120, 105, 102, 0, 0, 73, 73, 42, 0, 10, 0, 0, 0, 0], 'malformed'], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 1], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 3, 1, 16, 0, 3, 0, 0, 0, 1, 0, 214, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 0, 228, 0, 0, 1, 15, 0, 3, 0, 0, 0, 1, 1, 173, 0, 0, 0, 0, 0, 0], 1], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 2, 1, 18, 0, 3, 0, 0, 0, 1, 0, 2, 0, 0, 1, 15, 0, 3, 0, 0, 0, 1, 1, 135, 0, 0, 0, 0, 0, 0], 2]]]\nlabels = [\"regression: SHORT value field width\", \"repair trap\", \"combined fault\", \"control\", \"control\", \"boundary\", \"boundary\", \"control\"]\nfor i, (args, expected) in enumerate(fixtures[N-1]):\n    check(\"%s %d\" % (labels[i % len(labels)], i), 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":"7dc7ac989d989825d4b2d9f9be0303d60a03a5b4457e85d9c58a18b99fe3f7c6","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(data):\n    b = data\n    if len(b) < 14 or b[:6] != [69, 120, 105, 102, 0, 0]:\n        return 'malformed'\n    t = b[6:]\n    if t[:2] == [73, 73]:\n        le = True\n    elif t[:2] == [77, 77]:\n        le = False\n    else:\n        return 'malformed'\n    def u16(o):\n        if o + 2 > len(t):\n            return None\n        return t[o] | (t[o + 1] << 8) if le else (t[o] << 8) | t[o + 1]\n    def u32(o):\n        if o + 4 > len(t):\n            return None\n        v = t[o:o + 4]\n        if le:\n            v = v[::-1]\n        return (v[0] << 24) | (v[1] << 16) | (v[2] << 8) | v[3]\n    if u16(2) != 42:\n        return 'malformed'\n    ifd = u32(4)\n    count = u16(ifd)\n    if count is None:\n        return 'malformed'\n    for i in range(count):\n        e = ifd + 2 + 12 * i\n        if e + 12 > len(t):\n            return 'malformed'\n        tag = u16(e)\n        typ = u16(e + 2)\n        cnt = u32(e + 4)\n        if tag == 0x0112 and typ == 3 and cnt == 1:\n            val = u16(e + 8)\n            return val if 1 <= val <= 8 else 1\n    return 1\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[[[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 4, 1, 18, 0, 4, 0, 0, 0, 1, 0, 0, 0, 8, 1, 16, 0, 3, 0, 0, 0, 1, 1, 77, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 3, 0, 0, 1, 26, 0, 3, 0, 0, 0, 1, 1, 10, 0, 0, 0, 0, 0, 0], 3], [[69, 120, 105, 102, 0, 0, 73, 73, 42, 0, 10, 0, 0, 0, 0, 0, 4, 0, 18, 1, 3, 0, 1, 0, 0, 0, 8, 0, 0, 0, 18, 1, 3, 0, 1, 0, 0, 0, 3, 0, 0, 0, 26, 1, 3, 0, 1, 0, 0, 0, 94, 1, 0, 0, 16, 1, 3, 0, 1, 0], 8], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 10, 0, 0, 0, 4, 1, 15, 0, 3, 0, 0, 0, 1, 1, 215, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 6, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 1, 23, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 0, 144, 0, 0, 0, 0, 0, 0], 6], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 3, 1, 15, 0, 3, 0, 0, 0, 1, 0, 7, 0, 0, 1, 26, 0, 3, 0, 0, 0, 1, 0, 114, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 0, 0, 0], 1], [[69, 120, 105, 102, 0, 0, 73, 73, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 26, 1, 3, 0, 1, 0, 0, 0, 126, 1, 0], 'malformed'], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 43, 0, 0, 0, 8, 0, 1, 1, 18, 0, 3, 0, 0, 0, 1, 0, 4, 0, 0, 0, 0, 0, 0], 'malformed'], [[69, 120, 105, 102, 0, 0, 73, 73, 42, 0, 10, 0, 0, 0, 0, 0, 2, 0, 15, 1, 3, 0, 1, 0, 0, 0, 73, 0, 0, 0, 26, 1, 3, 0, 1, 0, 0, 0, 37, 0, 0, 0, 0, 0, 0, 0], 1], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 3, 1, 18, 0, 3, 0, 0, 0, 1, 0, 5, 0, 0, 1, 15, 0, 3, 0, 0, 0, 1, 0, 155, 0, 0, 1, 26, 0, 3, 0, 0, 0, 1, 0, 58, 0, 0, 0, 0, 0, 0], 5]], [[[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 1, 1, 18, 0, 3, 0, 0, 0, 1, 0, 6, 0, 0, 0, 0, 0, 0], 6], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 10, 0, 0, 0, 5, 1, 18, 0, 4, 0, 0, 0, 2, 0, 0, 0, 8, 1, 26, 0, 3, 0, 0, 0, 1, 1, 15, 0, 0, 1, 15, 0, 3, 0, 0, 0, 1, 0, 190, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 6, 0, 0, 1, 15, 0, 3, 0, 0, 0, 1, 1, 77, 0, 0, 0, 0, 0, 0], 6], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 2, 1, 18, 0, 3, 0, 0, 0, 1, 0, 8, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 5, 0, 0, 0, 0, 0, 0], 8], [[69, 120, 105, 102, 0, 255, 77, 77, 0, 42, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 2, 1, 18, 0, 3, 0, 0, 0, 1, 0, 1, 0, 0, 1, 26, 0, 3, 0, 0, 0, 1, 0, 46, 0, 0, 0, 0, 0, 0], 'malformed'], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 3, 1, 15, 0, 3, 0, 0, 0, 1, 1, 96, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 0, 0, 0, 1, 15, 0, 3, 0, 0, 0, 1, 1, 150], 1], [[69, 120, 105, 102, 0, 0, 73, 73, 43, 0, 14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'malformed'], [[69, 120, 105, 102, 0, 255, 77, 77, 0, 42, 0, 0, 0, 8, 0, 5, 1, 18, 0, 4, 0, 0, 0, 2, 0, 0, 0, 6, 1, 26, 0, 3, 0, 0, 0, 1, 1, 200, 0, 0, 1, 26, 0, 3, 0, 0, 0, 1, 0, 17, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 9, 0, 0, 1, 26, 0, 3, 0, 0, 0, 1, 0, 111, 0, 0, 0, 0, 0, 0], 'malformed'], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 3, 1, 18, 0, 3, 0, 0, 0, 1, 0, 6, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 0, 24, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 1, 64, 0, 0, 0, 0, 0, 0], 6]], [[[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 10, 0, 0, 0, 4, 1, 18, 0, 3, 0, 0, 0, 2, 0, 3, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 6, 0, 0, 1, 15, 0, 3, 0, 0, 0, 1, 0, 195, 0, 0, 1, 26, 0, 3, 0, 0, 0, 1, 0, 238, 0, 0, 0, 0, 0, 0], 6], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 4, 1, 18, 0, 3, 0, 0, 0, 2, 0, 8, 0, 0, 1, 15, 0, 3, 0, 0, 0, 1, 0, 242, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 8, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 1, 214, 0, 0, 0, 0, 0, 0], 8], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 10, 0, 0, 0, 2, 1, 18, 0, 3, 0, 0, 0, 1, 0, 5, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 1, 174, 0, 0, 0, 0, 0, 0], 5], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 10, 0, 0, 0, 1, 1, 18, 0, 4, 0, 0, 0, 2, 0, 0, 0, 6], 1], [[69, 120, 105, 102, 0, 0, 73, 73, 42, 0, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 1], [[69, 120, 105, 102, 0, 0, 73, 73, 42, 0, 14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 18, 1, 4, 0, 2, 0, 0, 0, 8, 0, 0, 0, 16, 1, 3, 0, 1, 0, 0, 0, 133, 1, 0, 0], 1], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 2, 1, 26, 0, 3, 0, 0, 0, 1, 0, 126, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1], 'malformed'], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 2, 1, 18, 0, 3, 0, 0, 0, 1, 0, 8, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 6, 0], 8]], [[[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 5, 1, 18, 0, 4, 0, 0, 0, 2, 0, 0, 0, 8, 1, 18, 0, 3, 0, 0, 0, 1, 0, 3, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 0, 215, 0, 0, 1, 26, 0, 3, 0, 0, 0, 1, 0, 132, 0, 0, 1, 15, 0, 3, 0, 0, 0, 1, 1, 124], 3], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 10, 0, 0, 0, 3, 1, 15, 0, 3, 0, 0, 0, 1, 1, 171, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 3, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 1, 47, 0], 3], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 1, 1, 18, 0, 3, 0, 0, 0, 1, 0, 7, 0, 0, 0, 0, 0, 0], 7], [[69, 120, 105, 102, 0, 0, 73, 73, 42, 0, 8, 0, 0, 0, 3, 0, 26, 1, 3, 0, 1, 0, 0, 0, 17, 0, 0, 0, 15, 1, 3, 0, 1, 0, 0, 0, 37, 1, 0, 0, 15, 1, 3, 0, 1, 0, 0, 0, 233, 0, 0, 0, 0, 0, 0, 0], 1], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 1, 1, 15, 0, 3], 'malformed'], [[69, 120, 105, 102, 255, 225, 77, 77, 42, 0, 0, 0, 0, 8, 0, 1, 1, 18, 0, 3, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], 'malformed'], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 43, 0, 0, 0, 8, 0, 2, 1, 26, 0, 3, 0, 0, 0, 1, 0, 60, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 7, 0], 'malformed'], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 3, 1, 16, 0, 3, 0, 0, 0, 1, 0, 82, 0, 0, 1, 26, 0, 3, 0, 0, 0, 1, 1, 3, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 7, 0, 0, 0, 0, 0, 0], 7]], [[[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 10, 0, 0, 0, 2, 1, 18, 0, 3, 0, 0, 0, 1, 0, 8, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 0, 171, 0, 0, 0, 0, 0, 0], 8], [[69, 120, 105, 102, 0, 0, 73, 73, 42, 0, 10, 0, 0, 0, 0, 0, 1, 0, 18, 1, 3, 0, 1, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0], 7], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 1, 1, 18, 0, 3, 0, 0, 0, 1, 0, 6, 0, 0, 0, 0, 0, 0], 6], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 3, 1, 16, 0, 3, 0, 0, 0, 1, 0, 196, 0, 0, 1, 18, 0, 3, 0, 0, 0, 1, 0, 1, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 0, 141, 0, 0, 0, 0, 0, 0], 1], [[69, 120, 105, 102, 0, 0, 73, 73, 42, 0, 10, 0, 0, 0, 0], 'malformed'], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 1], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 3, 1, 16, 0, 3, 0, 0, 0, 1, 0, 214, 0, 0, 1, 16, 0, 3, 0, 0, 0, 1, 0, 228, 0, 0, 1, 15, 0, 3, 0, 0, 0, 1, 1, 173, 0, 0, 0, 0, 0, 0], 1], [[69, 120, 105, 102, 0, 0, 77, 77, 0, 42, 0, 0, 0, 8, 0, 2, 1, 18, 0, 3, 0, 0, 0, 1, 0, 2, 0, 0, 1, 15, 0, 3, 0, 0, 0, 1, 1, 135, 0, 0, 0, 0, 0, 0], 2]]]\nlabels = [\"regression: SHORT value field width\", \"repair trap\", \"combined fault\", \"control\", \"control\", \"boundary\", \"boundary\", \"control\"]\nfor i, (args, expected) in enumerate(fixtures[N-1]):\n    check(\"%s %d\" % (labels[i % len(labels)], i), 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 with a stipulated contract; it makes no claim of conformance to any published specification. 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-image-orientation-metadata-tiff-ifd0-parse-value-field-width","generated_at":"2026-09-29T14:49:39.839287+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Camera, phone and scanner images carry an orientation hint separately from the stored pixels; galleries, thumbnailers, editors and upload pipelines must interpret it consistently or photos appear sideways, mirrored or doubly rotated.","repair":"Read a 16-bit value from the first two bytes of the value field for SHORT entries.","root_cause":"The value field is read as 32 bits; in MM files a left-justified SHORT 6 becomes 0x00060000 and is rejected as out of range.","sha256":"429aeb93fce3f0a9493541bb58060c9829a811b9ae60b95b8927a17f52df740f","title":"Big-endian orientation SHORT is read as a LONG · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":40.899,"exit_code":1,"observations":[{"actual":1,"check":"regression: SHORT value field width 0","expected":3,"passed":false},{"actual":1,"check":"repair trap 1","expected":8,"passed":false},{"actual":1,"check":"combined fault 2","expected":6,"passed":false},{"actual":1,"check":"control 3","expected":1,"passed":true},{"actual":"malformed","check":"control 4","expected":"malformed","passed":true},{"actual":"malformed","check":"boundary 5","expected":"malformed","passed":true},{"actual":1,"check":"boundary 6","expected":1,"passed":true},{"actual":1,"check":"control 7","expected":5,"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: SHORT value field width 0\", \"actual\": 1, \"expected\": 3, \"passed\": false}, {\"check\": \"repair trap 1\", \"actual\": 1, \"expected\": 8, \"passed\": false}, {\"check\": \"combined fault 2\", \"actual\": 1, \"expected\": 6, \"passed\": false}, {\"check\": \"control 3\", \"actual\": 1, \"expected\": 1, \"passed\": true}, {\"check\": \"control 4\", \"actual\": \"malformed\", \"expected\": \"malformed\", \"passed\": true}, {\"check\": \"boundary 5\", \"actual\": \"malformed\", \"expected\": \"malformed\", \"passed\": true}, {\"check\": \"boundary 6\", \"actual\": 1, \"expected\": 1, \"passed\": true}, {\"check\": \"control 7\", \"actual\": 1, \"expected\": 5, \"passed\": false}], \"passed\": false}\n"},"broken":{"elapsed_ms":43.028,"exit_code":1,"observations":[{"actual":1,"check":"regression: SHORT value field width 0","expected":3,"passed":false},{"actual":8,"check":"repair trap 1","expected":8,"passed":true},{"actual":1,"check":"combined fault 2","expected":6,"passed":false},{"actual":1,"check":"control 3","expected":1,"passed":true},{"actual":"malformed","check":"control 4","expected":"malformed","passed":true},{"actual":"malformed","check":"boundary 5","expected":"malformed","passed":true},{"actual":1,"check":"boundary 6","expected":1,"passed":true},{"actual":1,"check":"control 7","expected":5,"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: SHORT value field width 0\", \"actual\": 1, \"expected\": 3, \"passed\": false}, {\"check\": \"repair trap 1\", \"actual\": 8, \"expected\": 8, \"passed\": true}, {\"check\": \"combined fault 2\", \"actual\": 1, \"expected\": 6, \"passed\": false}, {\"check\": \"control 3\", \"actual\": 1, \"expected\": 1, \"passed\": true}, {\"check\": \"control 4\", \"actual\": \"malformed\", \"expected\": \"malformed\", \"passed\": true}, {\"check\": \"boundary 5\", \"actual\": \"malformed\", \"expected\": \"malformed\", \"passed\": true}, {\"check\": \"boundary 6\", \"actual\": 1, \"expected\": 1, \"passed\": true}, {\"check\": \"control 7\", \"actual\": 1, \"expected\": 5, \"passed\": false}], \"passed\": false}\n"},"fixed":{"elapsed_ms":39.903,"exit_code":0,"observations":[{"actual":3,"check":"regression: SHORT value field width 0","expected":3,"passed":true},{"actual":8,"check":"repair trap 1","expected":8,"passed":true},{"actual":6,"check":"combined fault 2","expected":6,"passed":true},{"actual":1,"check":"control 3","expected":1,"passed":true},{"actual":"malformed","check":"control 4","expected":"malformed","passed":true},{"actual":"malformed","check":"boundary 5","expected":"malformed","passed":true},{"actual":1,"check":"boundary 6","expected":1,"passed":true},{"actual":5,"check":"control 7","expected":5,"passed":true}],"passed":true,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: SHORT value field width 0\", \"actual\": 3, \"expected\": 3, \"passed\": true}, {\"check\": \"repair trap 1\", \"actual\": 8, \"expected\": 8, \"passed\": true}, {\"check\": \"combined fault 2\", \"actual\": 6, \"expected\": 6, \"passed\": true}, {\"check\": \"control 3\", \"actual\": 1, \"expected\": 1, \"passed\": true}, {\"check\": \"control 4\", \"actual\": \"malformed\", \"expected\": \"malformed\", \"passed\": true}, {\"check\": \"boundary 5\", \"actual\": \"malformed\", \"expected\": \"malformed\", \"passed\": true}, {\"check\": \"boundary 6\", \"actual\": 1, \"expected\": 1, \"passed\": true}, {\"check\": \"control 7\", \"actual\": 5, \"expected\": 5, \"passed\": true}], \"passed\": true}\n"}},"verified":true,"visibility":"public"}