00000010  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000020  00 00 00 44 4f 57 4e 47  52 44 00 00 c0 0a 00 00  |...DOWNGRD......|
00000030  0f ff 01 00 01 00 00 17  00 00 00 0b 00 02 01 00  |................|
00000040  16 03 01 02 0e 0b 00 02  0a 00 02 07 00 02 04 30  |...............0|
00000050  82 02 00 30 82 01 62 02  09 00 b8 bf 2d 47 a0 d2  |...0..b.....-G..|

00000010  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000020  00 00 00 44 4f 57 4e 47  52 44 01 00 c0 0a 00 00  |...DOWNGRD......|
00000030  0f ff 01 00 01 00 00 17  00 00 00 0b 00 02 01 00  |................|
00000040  16 03 03 02 0e 0b 00 02  0a 00 02 07 00 02 04 30  |...............0|
00000050  82 02 00 30 82 01 62 02  09 00 b8 bf 2d 47 a0 d2  |...0..b.....-G..|

    %0 = "quantfork.stats"(%arg0) {layerStats = dense<[0.000000e+00, 0.1]> : tensor<2xf32>} : (tensor<2x2xf32>) -> tensor<2x2xf32>
    %1 = "tf.PartitionedCall"(%0, %cst) {_tfl_quant_trait = "fully_quantizable", config = "", config_proto = "", executor_type = "", f = @composite_matmul_fn_2} : (tensor<2x2xf32>, tensor<2x2xf32>) -> tensor<2x2xf32>
    %2 = "quantfork.stats"(%1) {layerStats = dense<[0.000000e+00, 0.2]> : tensor<2xf32>} : (tensor<2x2xf32>) -> tensor<2x2xf32>

000000b0  00 1a 00 18 08 04 04 03  08 07 08 05 08 06 04 01  |................|
000000c0  05 01 06 01 05 03 06 03  02 01 02 03 00 2b 00 09  |.............+..|
000000d0  08 03 04 03 03 03 02 03  01 00 33 00 26 00 24 00  |..........3.&.$.|
000000e0  1d 00 20 2f e5 7d a3 47  cd 62 43 15 28 da ac 5f  |.. /.}.G.bC.(.._|
000000f0  bb 29 07 30 ff f6 84 af  c4 cf c2 ed 90 99 5f 58  |.).0.........._X|

00000030  2d 33 1b 11 24 55 96 96  54 5f 62 c7 7f b5 ba 32  |-3..$U..T_b....2|
00000040  e7 e6 7c 11 68 f8 97 d1  17 f7 8f 4f c0 2b 00 00  |..|.h......O.+..|
00000050  11 ff 01 00 01 00 00 0b  00 04 03 00 01 02 00 17  |................|
00000060  00 00 16 03 03 02 0e 0b  00 02 0a 00 02 07 00 02  |................|
00000070  04 30 82 02 00 30 82 01  62 02 09 00 b8 bf 2d 47  |.0...0..b.....-G|

		{s: time.Unix(1, 2).UTC(), d: &scanstr, wantstr: "1970-01-01T00:00:01.000000002Z"},
		{s: time.Time{}, d: &scanstr, wantstr: "0001-01-01T00:00:00Z"},
		{s: time.Unix(1, 2).UTC(), d: &scanbytes, wantbytes: []byte("1970-01-01T00:00:01.000000002Z")},
		{s: time.Unix(1, 2).UTC(), d: &scaniface, wantiface: time.Unix(1, 2).UTC()},

		// To []byte

000000b0  00 1a 00 18 08 04 04 03  08 07 08 05 08 06 04 01  |................|
000000c0  05 01 06 01 05 03 06 03  02 01 02 03 00 2b 00 09  |.............+..|
000000d0  08 03 04 03 03 03 02 03  01 00 33 00 26 00 24 00  |..........3.&.$.|
000000e0  1d 00 20 2f e5 7d a3 47  cd 62 43 15 28 da ac 5f  |.. /.}.G.bC.(.._|
000000f0  bb 29 07 30 ff f6 84 af  c4 cf c2 ed 90 99 5f 58  |.).0.........._X|

000000b0  00 1a 00 18 08 04 04 03  08 07 08 05 08 06 04 01  |................|
000000c0  05 01 06 01 05 03 06 03  02 01 02 03 00 2b 00 09  |.............+..|
000000d0  08 03 04 03 03 03 02 03  01 00 33 00 26 00 24 00  |..........3.&.$.|
000000e0  1d 00 20 2f e5 7d a3 47  cd 62 43 15 28 da ac 5f  |.. /.}.G.bC.(.._|
000000f0  bb 29 07 30 ff f6 84 af  c4 cf c2 ed 90 99 5f 58  |.).0.........._X|

// The error from the true ticks-per-second in a linux/amd64 VM seems to be:
// -   1 ms -> ~0.02% error
// -   5 ms -> ~0.004% error
// -  10 ms -> ~0.002% error
// -  50 ms -> ~0.0003% error
// - 100 ms -> ~0.0001% error
//
// We're willing to take 0.004% error here, because ticksPerSecond is intended to be used for

00000360  01 02 01 03 02 02 02 04  02 05 02 06 02 00 00 16  |................|
00000370  03 03 00 04 0e 00 00 00                           |........|
>>> Flow 3 (client to server)
00000000  16 03 03 01 fd 0b 00 01  f9 00 01 f6 00 01 f3 30  |...............0|
00000010  82 01 ef 30 82 01 58 a0  03 02 01 02 02 10 5c 19  |...0..X.......\.|
00000020  c1 89 65 83 55 6f dc 0b  c9 b9 93 9f e9 bc 30 0d  |..e.Uo........0.|