Stderr output

<core_client_version>7.18.1</core_client_version>
<![CDATA[
<stderr_txt>
Init data: 201 bytes (project_preferences)
Debug: runtime 2880 min -> num_samples 687
Radioactive@Home app rev ? for GMC-300 starting... num_samples=687 (init_data=yes)
11000,6,2026-3-4 12:29:18,0,f,0
264000,90,2026-3-4 12:33:31,0,n,0
517000,200,2026-3-4 12:37:44,0,n,0
770000,284,2026-3-4 12:41:57,0,n,0
1022000,385,2026-3-4 12:46:9,0,n,0
trickle sent len=824 samples=4
1275000,482,2026-3-4 12:50:22,0,n,0
1528000,554,2026-3-4 12:54:35,0,n,0
1781000,634,2026-3-4 12:58:48,0,n,0
2034000,735,2026-3-4 13:3:1,0,n,0
trickle sent len=831 samples=4
2287000,840,2026-3-4 13:7:14,0,n,0
2539000,937,2026-3-4 13:11:26,0,n,0
2792000,1013,2026-3-4 13:15:39,0,n,0
3045000,1118,2026-3-4 13:19:52,0,n,0
trickle sent len=830 samples=4
3298000,1202,2026-3-4 13:24:5,0,n,0
3551000,1286,2026-3-4 13:28:18,0,n,0
3804000,1383,2026-3-4 13:32:31,0,n,0
trickle sent len=626 samples=3
4056000,1463,2026-3-4 13:36:43,0,n,0
4309000,1560,2026-3-4 13:40:56,0,n,0
4562000,1661,2026-3-4 13:45:9,0,n,0
trickle sent len=627 samples=3
4815000,1754,2026-3-4 13:49:22,0,n,0
5068000,1838,2026-3-4 13:53:35,0,n,0
5321000,1986,2026-3-4 13:57:48,0,n,0
trickle sent len=626 samples=3
5573000,2104,2026-3-4 14:2:0,0,n,0
5826000,2235,2026-3-4 14:6:13,0,n,0
6079000,2328,2026-3-4 14:10:26,0,n,0
trickle sent len=624 samples=3
6332000,2459,2026-3-4 14:14:39,0,n,0
6585000,2560,2026-3-4 14:18:52,0,n,0
6838000,2674,2026-3-4 14:23:5,0,n,0
trickle sent len=627 samples=3
7090000,2800,2026-3-4 14:27:17,0,n,0
7343000,2897,2026-3-4 14:31:30,0,n,0
7596000,3007,2026-3-4 14:35:43,0,n,0
trickle sent len=626 samples=3
7849000,3070,2026-3-4 14:39:56,0,n,0
8102000,3167,2026-3-4 14:44:9,0,n,0
8355000,3277,2026-3-4 14:48:22,0,n,0
trickle sent len=626 samples=3
8607000,3374,2026-3-4 14:52:34,0,n,0
8860000,3463,2026-3-4 14:56:47,0,n,0
9113000,3568,2026-3-4 15:1:0,0,n,0
trickle sent len=627 samples=3
9366000,3682,2026-3-4 15:5:13,0,n,0
9619000,3796,2026-3-4 15:9:26,0,n,0
9872000,3923,2026-3-4 15:13:39,0,n,0
10124000,4011,2026-3-4 15:17:51,0,n,0
trickle sent len=832 samples=4
10377000,4095,2026-3-4 15:22:4,0,n,0
10630000,4192,2026-3-4 15:26:17,0,n,0
10883000,4348,2026-3-4 15:30:30,0,n,0
trickle sent len=629 samples=3
11136000,4428,2026-3-4 15:34:43,0,n,0
11389000,4508,2026-3-4 15:38:56,0,n,0
11641000,4596,2026-3-4 15:43:8,0,n,0
trickle sent len=630 samples=3
11894000,4685,2026-3-4 15:47:21,0,n,0
12147000,4778,2026-3-4 15:51:34,0,n,0
12400000,4845,2026-3-4 15:55:47,0,n,0
trickle sent len=629 samples=3
12653000,4959,2026-3-4 16:0:0,0,n,0
12906000,5073,2026-3-4 16:4:13,0,n,0
13159000,5145,2026-3-4 16:8:26,0,n,0
trickle sent len=627 samples=3
13411000,5267,2026-3-4 16:12:38,0,n,0
13664000,5385,2026-3-4 16:16:51,0,n,0
13917000,5457,2026-3-4 16:21:4,0,n,0
trickle sent len=629 samples=3
14170000,5562,2026-3-4 16:25:17,0,n,0
14423000,5684,2026-3-4 16:29:30,0,n,0
14676000,5811,2026-3-4 16:33:43,0,n,0
trickle sent len=629 samples=3
14928000,5941,2026-3-4 16:37:55,0,n,0
15181000,6021,2026-3-4 16:42:8,0,n,0
15434000,6114,2026-3-4 16:46:21,0,n,0
trickle sent len=629 samples=3
15687000,6219,2026-3-4 16:50:34,0,n,0
15940000,6358,2026-3-4 16:54:47,0,n,0
16193000,6506,2026-3-4 16:59:0,0,n,0
trickle sent len=630 samples=3
16445000,6611,2026-3-4 17:3:12,0,n,0
16698000,6704,2026-3-4 17:7:25,0,n,0
16951000,6843,2026-3-4 17:11:38,0,n,0
trickle sent len=627 samples=3
17204000,6915,2026-3-4 17:15:51,0,n,0
17457000,7054,2026-3-4 17:20:4,0,n,0
17710000,7185,2026-3-4 17:24:17,0,n,0
trickle sent len=629 samples=3
17962000,7273,2026-3-4 17:28:29,0,n,0
18215000,7374,2026-3-4 17:32:42,0,n,0
18468000,7505,2026-3-4 17:36:55,0,n,0
trickle sent len=630 samples=3
18721000,7606,2026-3-4 17:41:8,0,n,0
18974000,7720,2026-3-4 17:45:21,0,n,0
19227000,7838,2026-3-4 17:49:34,0,n,0
trickle sent len=629 samples=3
19480000,7922,2026-3-4 17:53:47,0,n,0
19732000,8035,2026-3-4 17:57:59,0,n,0
19985000,8153,2026-3-4 18:2:12,0,n,0
trickle sent len=630 samples=3
20238000,8242,2026-3-4 18:6:25,0,n,0
20491000,8364,2026-3-4 18:10:38,0,n,0
20744000,8457,2026-3-4 18:14:51,0,n,0
trickle sent len=628 samples=3
20997000,8575,2026-3-4 18:19:4,0,n,0
21249000,8672,2026-3-4 18:23:16,0,n,0
21502000,8799,2026-3-4 18:27:29,0,n,0
trickle sent len=629 samples=3
21755000,8909,2026-3-4 18:31:42,0,n,0
22008000,8998,2026-3-4 18:35:55,0,n,0
22261000,9103,2026-3-4 18:40:8,0,n,0
trickle sent len=630 samples=3
22514000,9251,2026-3-4 18:44:21,0,n,0
22766000,9373,2026-3-4 18:48:33,0,n,0
23019000,9495,2026-3-4 18:52:46,0,n,0
trickle sent len=629 samples=3
23272000,9584,2026-3-4 18:56:59,0,n,0
23525000,9711,2026-3-4 19:1:12,0,n,0
23778000,9787,2026-3-4 19:5:25,0,n,0
trickle sent len=629 samples=3
24031000,9897,2026-3-4 19:9:38,0,n,0
24283000,10002,2026-3-4 19:13:50,0,n,0
24536000,10091,2026-3-4 19:18:3,0,n,0
trickle sent len=629 samples=3
24789000,10218,2026-3-4 19:22:16,0,n,0
25042000,10353,2026-3-4 19:26:29,0,n,0
25295000,10454,2026-3-4 19:30:42,0,n,0
trickle sent len=632 samples=3
25548000,10551,2026-3-4 19:34:55,0,n,0
25801000,10661,2026-3-4 19:39:8,0,n,0
26053000,10749,2026-3-4 19:43:20,0,n,0
trickle sent len=632 samples=3
26306000,10884,2026-3-4 19:47:33,0,n,0
26559000,10994,2026-3-4 19:51:46,0,n,0
26812000,11087,2026-3-4 19:55:59,0,n,0
trickle sent len=633 samples=3
27065000,11205,2026-3-4 20:0:12,0,n,0
27318000,11298,2026-3-4 20:4:25,0,n,0
27570000,11390,2026-3-4 20:8:37,0,n,0
trickle sent len=631 samples=3
27823000,11538,2026-3-4 20:12:50,0,n,0
28076000,11622,2026-3-4 20:17:3,0,n,0
28329000,11732,2026-3-4 20:21:16,0,n,0
trickle sent len=631 samples=3
28582000,11850,2026-3-4 20:25:29,0,n,0
28835000,11951,2026-3-4 20:29:42,0,n,0
29087000,12069,2026-3-4 20:33:54,0,n,0
trickle sent len=633 samples=3
29340000,12170,2026-3-4 20:38:7,0,n,0
29593000,12301,2026-3-4 20:42:20,0,n,0
29846000,12398,2026-3-4 20:46:33,0,n,0
trickle sent len=632 samples=3
30099000,12512,2026-3-4 20:50:46,0,n,0
30352000,12601,2026-3-4 20:54:59,0,n,0
30604000,12698,2026-3-4 20:59:11,0,n,0
trickle sent len=633 samples=3
30857000,12795,2026-3-4 21:3:24,0,n,0
31110000,12892,2026-3-4 21:7:37,0,n,0
31363000,12968,2026-3-4 21:11:50,0,n,0
trickle sent len=631 samples=3
31616000,13078,2026-3-4 21:16:3,0,n,0
31869000,13167,2026-3-4 21:20:16,0,n,0
32121000,13259,2026-3-4 21:24:28,0,n,0
trickle sent len=632 samples=3
32374000,13369,2026-3-4 21:28:41,0,n,0
32627000,13474,2026-3-4 21:32:54,0,n,0
32880000,13558,2026-3-4 21:37:7,0,n,0
trickle sent len=633 samples=3
33133000,13655,2026-3-4 21:41:20,0,n,0
33386000,13760,2026-3-4 21:45:33,0,n,0
33638000,13882,2026-3-4 21:49:45,0,n,0
trickle sent len=632 samples=3
33891000,13971,2026-3-4 21:53:58,0,n,0
34144000,14072,2026-3-4 21:58:11,0,n,0
34397000,14173,2026-3-4 22:2:24,0,n,0
trickle sent len=633 samples=3
34650000,14262,2026-3-4 22:6:37,0,n,0
34903000,14325,2026-3-4 22:10:50,0,n,0
35155000,14426,2026-3-4 22:15:2,0,n,0
trickle sent len=631 samples=3
35408000,14531,2026-3-4 22:19:15,0,n,0
35661000,14662,2026-3-4 22:23:28,0,n,0
35914000,14784,2026-3-4 22:27:41,0,n,0
trickle sent len=632 samples=3
36167000,14894,2026-3-4 22:31:54,0,n,0
36420000,15008,2026-3-4 22:36:7,0,n,0
36673000,15101,2026-3-4 22:40:20,0,n,0
trickle sent len=632 samples=3
36925000,15198,2026-3-4 22:44:32,0,n,0
37178000,15329,2026-3-4 22:48:45,0,n,0
37431000,15477,2026-3-4 22:52:58,0,n,0
trickle sent len=633 samples=3
37684000,15591,2026-3-4 22:57:11,0,n,0
37937000,15671,2026-3-4 23:1:24,0,n,0
38190000,15738,2026-3-4 23:5:37,0,n,0
trickle sent len=632 samples=3
38442000,15851,2026-3-4 23:9:49,0,n,0
38695000,15944,2026-3-4 23:14:2,0,n,0
38948000,16066,2026-3-4 23:18:15,0,n,0
trickle sent len=630 samples=3
39201000,16205,2026-3-4 23:22:28,0,n,0
39454000,16298,2026-3-4 23:26:41,0,n,0
39707000,16416,2026-3-4 23:30:54,0,n,0
trickle sent len=633 samples=3
39959000,16534,2026-3-4 23:35:6,0,n,0
40212000,16606,2026-3-4 23:39:19,0,n,0
40465000,16690,2026-3-4 23:43:32,0,n,0
trickle sent len=632 samples=3
40718000,16791,2026-3-4 23:47:45,0,n,0
40971000,16896,2026-3-4 23:51:58,0,n,0
41224000,16976,2026-3-4 23:56:11,0,n,0
trickle sent len=633 samples=3
41476000,17052,2026-3-5 0:0:23,0,n,0
41729000,17153,2026-3-5 0:4:36,0,n,0
41982000,17229,2026-3-5 0:8:49,0,n,0
trickle sent len=629 samples=3
42235000,17339,2026-3-5 0:13:2,0,n,0
42488000,17444,2026-3-5 0:17:15,0,n,0
42741000,17558,2026-3-5 0:21:28,0,n,0
trickle sent len=628 samples=3
42994000,17647,2026-3-5 0:25:41,0,n,0
43246000,17735,2026-3-5 0:29:53,0,n,0
43499000,17849,2026-3-5 0:34:6,0,n,0
trickle sent len=630 samples=3
43752000,17988,2026-3-5 0:38:19,0,n,0
44005000,18098,2026-3-5 0:42:32,0,n,0
44258000,18212,2026-3-5 0:46:45,0,n,0
trickle sent len=629 samples=3
44511000,18309,2026-3-5 0:50:58,0,n,0
44763000,18372,2026-3-5 0:55:10,0,n,0
45016000,18473,2026-3-5 0:59:23,0,n,0
trickle sent len=630 samples=3
45269000,18557,2026-3-5 1:3:36,0,n,0
45522000,18650,2026-3-5 1:7:49,0,n,0
45775000,18751,2026-3-5 1:12:2,0,n,0
trickle sent len=628 samples=3
46028000,18852,2026-3-5 1:16:15,0,n,0
46280000,18949,2026-3-5 1:20:27,0,n,0
46533000,19059,2026-3-5 1:24:40,0,n,0
trickle sent len=629 samples=3
46786000,19152,2026-3-5 1:28:53,0,n,0
47039000,19224,2026-3-5 1:33:6,0,n,0
47292000,19308,2026-3-5 1:37:19,0,n,0
trickle sent len=629 samples=3
47545000,19375,2026-3-5 1:41:32,0,n,0
47797000,19451,2026-3-5 1:45:44,0,n,0
48050000,19599,2026-3-5 1:49:57,0,n,0
trickle sent len=630 samples=3
48303000,19696,2026-3-5 1:54:10,0,n,0
48556000,19831,2026-3-5 1:58:23,0,n,0
48809000,19907,2026-3-5 2:2:36,0,n,0
trickle sent len=630 samples=3
49062000,20017,2026-3-5 2:6:49,0,n,0
49315000,20101,2026-3-5 2:11:2,0,n,0
49567000,20189,2026-3-5 2:15:14,0,n,0
trickle sent len=627 samples=3
49820000,20290,2026-3-5 2:19:27,0,n,0
50073000,20357,2026-3-5 2:23:40,0,n,0
50326000,20467,2026-3-5 2:27:53,0,n,0
trickle sent len=630 samples=3
50579000,20568,2026-3-5 2:32:6,0,n,0
50832000,20644,2026-3-5 2:36:19,0,n,0
51084000,20762,2026-3-5 2:40:31,0,n,0
trickle sent len=629 samples=3
51337000,20859,2026-3-5 2:44:44,0,n,0
51590000,20981,2026-3-5 2:48:57,0,n,0
51843000,21095,2026-3-5 2:53:10,0,n,0
trickle sent len=630 samples=3
52096000,21162,2026-3-5 2:57:23,0,n,0
52349000,21263,2026-3-5 3:1:36,0,n,0
52601000,21351,2026-3-5 3:5:48,0,n,0
trickle sent len=629 samples=3
52854000,21448,2026-3-5 3:10:1,0,n,0
53107000,21579,2026-3-5 3:14:14,0,n,0
53360000,21710,2026-3-5 3:18:27,0,n,0
trickle sent len=628 samples=3
53613000,21845,2026-3-5 3:22:40,0,n,0
53866000,21967,2026-3-5 3:26:53,0,n,0
54118000,22047,2026-3-5 3:31:5,0,n,0
trickle sent len=630 samples=3
54371000,22140,2026-3-5 3:35:18,0,n,0
54624000,22271,2026-3-5 3:39:31,0,n,0
54877000,22381,2026-3-5 3:43:44,0,n,0
trickle sent len=629 samples=3
55130000,22478,2026-3-5 3:47:57,0,n,0
55383000,22558,2026-3-5 3:52:10,0,n,0
55635000,22667,2026-3-5 3:56:22,0,n,0
trickle sent len=630 samples=3
55888000,22777,2026-3-5 4:0:35,0,n,0
56141000,22887,2026-3-5 4:4:48,0,n,0
56394000,23009,2026-3-5 4:9:1,0,n,0
trickle sent len=628 samples=3
56647000,23093,2026-3-5 4:13:14,0,n,0
56900000,23203,2026-3-5 4:17:27,0,n,0
57153000,23334,2026-3-5 4:21:40,0,n,0
trickle sent len=628 samples=3
57405000,23447,2026-3-5 4:25:52,0,n,0
57658000,23552,2026-3-5 4:30:5,0,n,0
57911000,23653,2026-3-5 4:34:18,0,n,0
trickle sent len=629 samples=3
58164000,23742,2026-3-5 4:38:31,0,n,0
58417000,23835,2026-3-5 4:42:44,0,n,0
58670000,23940,2026-3-5 4:46:57,0,n,0
trickle sent len=630 samples=3
58922000,24020,2026-3-5 4:51:9,0,n,0
59175000,24134,2026-3-5 4:55:22,0,n,0
59428000,24248,2026-3-5 4:59:35,0,n,0
trickle sent len=629 samples=3
59681000,24391,2026-3-5 5:3:48,0,n,0
59934000,24471,2026-3-5 5:8:1,0,n,0
60187000,24560,2026-3-5 5:12:14,0,n,0
trickle sent len=627 samples=3
60439000,24627,2026-3-5 5:16:26,0,n,0
60692000,24754,2026-3-5 5:20:39,0,n,0
60945000,24889,2026-3-5 5:24:52,0,n,0
trickle sent len=630 samples=3
61198000,24978,2026-3-5 5:29:5,0,n,0
61451000,25079,2026-3-5 5:33:18,0,n,0
61704000,25138,2026-3-5 5:37:31,0,n,0
trickle sent len=629 samples=3
61956000,25235,2026-3-5 5:41:43,0,n,0
62209000,25357,2026-3-5 5:45:56,0,n,0
62462000,25458,2026-3-5 5:50:9,0,n,0
trickle sent len=630 samples=3
62715000,25572,2026-3-5 5:54:22,0,n,0
62968000,25635,2026-3-5 5:58:35,0,n,0
63221000,25736,2026-3-5 6:2:48,0,n,0
trickle sent len=629 samples=3
63474000,25816,2026-3-5 6:7:1,0,n,0
63726000,25950,2026-3-5 6:11:13,0,n,0
63979000,26043,2026-3-5 6:15:26,0,n,0
trickle sent len=627 samples=3
64232000,26148,2026-3-5 6:19:39,0,n,0
64485000,26287,2026-3-5 6:23:52,0,n,0
64738000,26363,2026-3-5 6:28:5,0,n,0
trickle sent len=630 samples=3
64991000,26460,2026-3-5 6:32:18,0,n,0
65243000,26557,2026-3-5 6:36:30,0,n,0
65496000,26700,2026-3-5 6:40:43,0,n,0
trickle sent len=629 samples=3
65749000,26852,2026-3-5 6:44:56,0,n,0
66002000,26894,2026-3-5 6:49:9,0,n,0
66255000,26995,2026-3-5 6:53:22,0,n,0
trickle sent len=629 samples=3
66508000,27126,2026-3-5 6:57:35,0,n,0
66760000,27256,2026-3-5 7:1:47,0,n,0
67013000,27353,2026-3-5 7:6:0,0,n,0
trickle sent len=629 samples=3
67266000,27480,2026-3-5 7:10:13,0,n,0
67519000,27581,2026-3-5 7:14:26,0,n,0
67772000,27686,2026-3-5 7:18:39,0,n,0
trickle sent len=628 samples=3
68025000,27796,2026-3-5 7:22:52,0,n,0
68278000,27885,2026-3-5 7:27:5,0,n,0
68530000,28003,2026-3-5 7:31:17,0,n,0
trickle sent len=629 samples=3
68783000,28079,2026-3-5 7:35:30,0,n,0
69036000,28193,2026-3-5 7:39:43,0,n,0
69289000,28265,2026-3-5 7:43:56,0,n,0
trickle sent len=630 samples=3
69542000,28383,2026-3-5 7:48:9,0,n,0
69795000,28510,2026-3-5 7:52:22,0,n,0
70047000,28590,2026-3-5 7:56:34,0,n,0
trickle sent len=629 samples=3
70300000,28666,2026-3-5 8:0:47,0,n,0
70553000,28763,2026-3-5 8:5:0,0,n,0
70806000,28860,2026-3-5 8:9:13,0,n,0
trickle sent len=627 samples=3
71059000,28978,2026-3-5 8:13:26,0,n,0
71312000,29092,2026-3-5 8:17:39,0,n,0
71564000,29205,2026-3-5 8:21:51,0,n,0
trickle sent len=629 samples=3
71817000,29302,2026-3-5 8:26:4,0,n,0
72070000,29424,2026-3-5 8:30:17,0,n,0
72323000,29542,2026-3-5 8:34:30,0,n,0
trickle sent len=629 samples=3
72576000,29635,2026-3-5 8:38:43,0,n,0
72829000,29753,2026-3-5 8:42:56,0,n,0
73082000,29829,2026-3-5 8:47:9,0,n,0
trickle sent len=630 samples=3
73334000,29896,2026-3-5 8:51:21,0,n,0
73587000,30023,2026-3-5 8:55:34,0,n,0
73840000,30124,2026-3-5 8:59:47,0,n,0
trickle sent len=629 samples=3
74093000,30238,2026-3-5 9:4:0,0,n,0
74346000,30331,2026-3-5 9:8:13,0,n,0
74599000,30428,2026-3-5 9:12:26,0,n,0
trickle sent len=627 samples=3
74851000,30529,2026-3-5 9:16:38,0,n,0
75104000,30639,2026-3-5 9:20:51,0,n,0
75357000,30715,2026-3-5 9:25:4,0,n,0
trickle sent len=630 samples=3
75610000,30808,2026-3-5 9:29:17,0,n,0
75863000,30922,2026-3-5 9:33:30,0,n,0
76116000,31049,2026-3-5 9:37:43,0,n,0
trickle sent len=629 samples=3
76368000,31171,2026-3-5 9:41:55,0,n,0
76621000,31268,2026-3-5 9:46:8,0,n,0
76874000,31344,2026-3-5 9:50:21,0,n,0
trickle sent len=629 samples=3
77127000,31433,2026-3-5 9:54:34,0,n,0
77380000,31509,2026-3-5 9:58:47,0,n,0
77633000,31606,2026-3-5 10:3:0,0,n,0
trickle sent len=630 samples=3
77885000,31690,2026-3-5 10:7:12,0,n,0
78138000,31787,2026-3-5 10:11:25,0,n,0
78391000,31901,2026-3-5 10:15:38,0,n,0
trickle sent len=630 samples=3
78644000,31964,2026-3-5 10:19:51,0,n,0
78897000,32048,2026-3-5 10:24:4,0,n,0
79150000,32162,2026-3-5 10:28:17,0,n,0
trickle sent len=632 samples=3
79402000,32246,2026-3-5 10:32:29,0,n,0
79655000,32347,2026-3-5 10:36:42,0,n,0
79908000,32474,2026-3-5 10:40:55,0,n,0
trickle sent len=633 samples=3
80161000,32563,2026-3-5 10:45:8,0,n,0
80414000,32706,2026-3-5 10:49:21,0,n,0
80667000,32790,2026-3-5 10:53:34,0,n,0
trickle sent len=632 samples=3
80919000,32924,2026-3-5 10:57:46,0,n,0
81172000,32983,2026-3-5 11:1:59,0,n,0
81425000,33093,2026-3-5 11:6:12,0,n,0
trickle sent len=632 samples=3
81678000,33173,2026-3-5 11:10:25,0,n,0
81931000,33291,2026-3-5 11:14:38,0,n,0
82184000,33413,2026-3-5 11:18:51,0,n,0
trickle sent len=632 samples=3
82437000,33531,2026-3-5 11:23:4,0,n,0
82689000,33657,2026-3-5 11:27:16,0,n,0
82942000,33746,2026-3-5 11:31:29,0,n,0
trickle sent len=632 samples=3
83195000,33830,2026-3-5 11:35:42,0,n,0
83448000,33961,2026-3-5 11:39:55,0,n,0
83701000,34075,2026-3-5 11:44:8,0,n,0
trickle sent len=633 samples=3
83954000,34168,2026-3-5 11:48:21,0,n,0
84206000,34328,2026-3-5 11:52:33,0,n,0
84459000,34429,2026-3-5 11:56:46,0,n,0
trickle sent len=632 samples=3
84712000,34543,2026-3-5 12:0:59,0,n,0
84965000,34674,2026-3-5 12:5:12,0,n,0
85218000,34767,2026-3-5 12:9:25,0,n,0
trickle sent len=631 samples=3
85471000,34856,2026-3-5 12:13:38,0,n,0
85723000,34974,2026-3-5 12:17:50,0,n,0
85976000,35046,2026-3-5 12:22:3,0,n,0
trickle sent len=632 samples=3
86229000,35147,2026-3-5 12:26:16,0,n,0
86482000,35244,2026-3-5 12:30:29,0,n,0
86735000,35349,2026-3-5 12:34:42,0,n,0
trickle sent len=632 samples=3
86988000,35467,2026-3-5 12:38:55,0,n,0
87240000,35555,2026-3-5 12:43:7,0,n,0
87493000,35665,2026-3-5 12:47:20,0,n,0
trickle sent len=632 samples=3
87746000,35796,2026-3-5 12:51:33,0,n,0
87999000,35906,2026-3-5 12:55:46,0,n,0
88252000,36020,2026-3-5 12:59:59,0,n,0
trickle sent len=633 samples=3
88505000,36138,2026-3-5 13:4:12,0,n,0
88757000,36243,2026-3-5 13:8:24,0,n,0
89010000,36327,2026-3-5 13:12:37,0,n,0
trickle sent len=631 samples=3
89263000,36403,2026-3-5 13:16:50,0,n,0
89516000,36546,2026-3-5 13:21:3,0,n,0
89769000,36651,2026-3-5 13:25:16,0,n,0
trickle sent len=632 samples=3
90022000,36723,2026-3-5 13:29:29,0,n,0
90275000,36824,2026-3-5 13:33:42,0,n,0
90527000,36921,2026-3-5 13:37:54,0,n,0
trickle sent len=633 samples=3
90780000,37018,2026-3-5 13:42:7,0,n,0
91033000,37136,2026-3-5 13:46:20,0,n,0
91286000,37258,2026-3-5 13:50:33,0,n,0
trickle sent len=632 samples=3
91539000,37338,2026-3-5 13:54:46,0,n,0
91792000,37418,2026-3-5 13:58:59,0,n,0
92044000,37510,2026-3-5 14:3:11,0,n,0
trickle sent len=633 samples=3
92297000,37599,2026-3-5 14:7:24,0,n,0
92550000,37700,2026-3-5 14:11:37,0,n,0
92803000,37797,2026-3-5 14:15:50,0,n,0
trickle sent len=631 samples=3
93056000,37894,2026-3-5 14:20:3,0,n,0
93309000,38033,2026-3-5 14:24:16,0,n,0
93561000,38117,2026-3-5 14:28:28,0,n,0
trickle sent len=632 samples=3
93814000,38222,2026-3-5 14:32:41,0,n,0
94067000,38315,2026-3-5 14:36:54,0,n,0
94320000,38454,2026-3-5 14:41:7,0,n,0
trickle sent len=633 samples=3
94573000,38555,2026-3-5 14:45:20,0,n,0
94826000,38652,2026-3-5 14:49:33,0,n,0
95078000,38799,2026-3-5 14:53:45,0,n,0
trickle sent len=632 samples=3
95331000,38883,2026-3-5 14:57:58,0,n,0
95584000,39022,2026-3-5 15:2:11,0,n,0
95837000,39161,2026-3-5 15:6:24,0,n,0
trickle sent len=632 samples=3
96090000,39266,2026-3-5 15:10:37,0,n,0
96343000,39359,2026-3-5 15:14:50,0,n,0
96596000,39481,2026-3-5 15:19:3,0,n,0
trickle sent len=632 samples=3
96848000,39594,2026-3-5 15:23:15,0,n,0
97101000,39712,2026-3-5 15:27:28,0,n,0
97354000,39805,2026-3-5 15:31:41,0,n,0
trickle sent len=632 samples=3
97607000,39923,2026-3-5 15:35:54,0,n,0
97860000,39990,2026-3-5 15:40:7,0,n,0
98112000,40133,2026-3-5 15:44:19,0,n,0
trickle sent len=632 samples=3
98365000,40230,2026-3-5 15:48:32,0,n,0
98618000,40302,2026-3-5 15:52:45,0,n,0
98871000,40391,2026-3-5 15:56:58,0,n,0
trickle sent len=633 samples=3
99124000,40501,2026-3-5 16:1:11,0,n,0
99377000,40628,2026-3-5 16:5:24,0,n,0
99630000,40717,2026-3-5 16:9:37,0,n,0
trickle sent len=631 samples=3
99882000,40847,2026-3-5 16:13:49,0,n,0
100135000,40931,2026-3-5 16:18:2,0,n,0
100388000,40994,2026-3-5 16:22:15,0,n,0
trickle sent len=632 samples=3
100641000,41066,2026-3-5 16:26:28,0,n,0
100894000,41180,2026-3-5 16:30:41,0,n,0
101147000,41273,2026-3-5 16:34:54,0,n,0
trickle sent len=636 samples=3
101399000,41370,2026-3-5 16:39:6,0,n,0
101652000,41513,2026-3-5 16:43:19,0,n,0
101905000,41631,2026-3-5 16:47:32,0,n,0
trickle sent len=635 samples=3
102158000,41715,2026-3-5 16:51:45,0,n,0
102411000,41787,2026-3-5 16:55:58,0,n,0
102664000,41888,2026-3-5 17:0:11,0,n,0
trickle sent len=636 samples=3
102916000,41993,2026-3-5 17:4:23,0,n,0
103169000,42086,2026-3-5 17:8:36,0,n,0
103422000,42234,2026-3-5 17:12:49,0,n,0
trickle sent len=633 samples=3
103675000,42327,2026-3-5 17:17:2,0,n,0
103928000,42428,2026-3-5 17:21:15,0,n,0
104181000,42525,2026-3-5 17:25:28,0,n,0
trickle sent len=635 samples=3
104433000,42584,2026-3-5 17:29:40,0,n,0
104686000,42706,2026-3-5 17:33:53,0,n,0
104939000,42816,2026-3-5 17:38:6,0,n,0
trickle sent len=636 samples=3
105192000,42917,2026-3-5 17:42:19,0,n,0
105445000,43048,2026-3-5 17:46:32,0,n,0
105698000,43132,2026-3-5 17:50:45,0,n,0
trickle sent len=635 samples=3
105951000,43216,2026-3-5 17:54:58,0,n,0
106203000,43313,2026-3-5 17:59:10,0,n,0
106456000,43435,2026-3-5 18:3:23,0,n,0
trickle sent len=636 samples=3
106709000,43553,2026-3-5 18:7:36,0,n,0
106962000,43646,2026-3-5 18:11:49,0,n,0
107215000,43751,2026-3-5 18:16:2,0,n,0
trickle sent len=634 samples=3
107468000,43869,2026-3-5 18:20:15,0,n,0
107720000,43991,2026-3-5 18:24:27,0,n,0
107973000,44101,2026-3-5 18:28:40,0,n,0
trickle sent len=635 samples=3
108226000,44194,2026-3-5 18:32:53,0,n,0
108479000,44291,2026-3-5 18:37:6,0,n,0
108732000,44384,2026-3-5 18:41:19,0,n,0
trickle sent len=635 samples=3
108985000,44515,2026-3-5 18:45:32,0,n,0
109237000,44595,2026-3-5 18:49:44,0,n,0
109490000,44696,2026-3-5 18:53:57,0,n,0
trickle sent len=636 samples=3
109743000,44793,2026-3-5 18:58:10,0,n,0
109996000,44869,2026-3-5 19:2:23,0,n,0
110249000,44979,2026-3-5 19:6:36,0,n,0
trickle sent len=635 samples=3
110502000,45089,2026-3-5 19:10:49,0,n,0
110755000,45232,2026-3-5 19:15:2,0,n,0
111007000,45329,2026-3-5 19:19:14,0,n,0
trickle sent len=634 samples=3
111260000,45430,2026-3-5 19:23:27,0,n,0
111513000,45552,2026-3-5 19:27:40,0,n,0
111766000,45670,2026-3-5 19:31:53,0,n,0
trickle sent len=636 samples=3
112019000,45750,2026-3-5 19:36:6,0,n,0
112272000,45847,2026-3-5 19:40:19,0,n,0
112524000,45939,2026-3-5 19:44:31,0,n,0
trickle sent len=635 samples=3
112777000,46036,2026-3-5 19:48:44,0,n,0
113030000,46154,2026-3-5 19:52:57,0,n,0
113283000,46268,2026-3-5 19:57:10,0,n,0
trickle sent len=636 samples=3
113536000,46390,2026-3-5 20:1:23,0,n,0
113789000,46495,2026-3-5 20:5:36,0,n,0
114041000,46583,2026-3-5 20:9:48,0,n,0
trickle sent len=634 samples=3
114294000,46718,2026-3-5 20:14:1,0,n,0
114547000,46811,2026-3-5 20:18:14,0,n,0
114800000,46891,2026-3-5 20:22:27,0,n,0
trickle sent len=634 samples=3
115053000,46996,2026-3-5 20:26:40,0,n,0
115306000,47076,2026-3-5 20:30:53,0,n,0
115558000,47156,2026-3-5 20:35:5,0,n,0
trickle sent len=636 samples=3
115811000,47219,2026-3-5 20:39:18,0,n,0
116064000,47341,2026-3-5 20:43:31,0,n,0
116317000,47408,2026-3-5 20:47:44,0,n,0
trickle sent len=635 samples=3
116570000,47497,2026-3-5 20:51:57,0,n,0
116823000,47581,2026-3-5 20:56:10,0,n,0
117076000,47670,2026-3-5 21:0:23,0,n,0
trickle sent len=636 samples=3
117328000,47771,2026-3-5 21:4:35,0,n,0
117581000,47881,2026-3-5 21:8:48,0,n,0
117834000,47944,2026-3-5 21:13:1,0,n,0
trickle sent len=633 samples=3
118087000,48054,2026-3-5 21:17:14,0,n,0
118340000,48147,2026-3-5 21:21:27,0,n,0
118593000,48248,2026-3-5 21:25:40,0,n,0
trickle sent len=635 samples=3
118845000,48324,2026-3-5 21:29:52,0,n,0
119098000,48413,2026-3-5 21:34:5,0,n,0
119351000,48497,2026-3-5 21:38:18,0,n,0
trickle sent len=635 samples=3
119604000,48577,2026-3-5 21:42:31,0,n,0
119857000,48649,2026-3-5 21:46:44,0,n,0
120110000,48704,2026-3-5 21:50:57,0,n,0
trickle sent len=636 samples=3
120362000,48826,2026-3-5 21:55:9,0,n,0
120615000,48893,2026-3-5 21:59:22,0,n,0
120868000,49003,2026-3-5 22:3:35,0,n,0
trickle sent len=635 samples=3
121121000,49092,2026-3-5 22:7:48,0,n,0
121374000,49176,2026-3-5 22:12:1,0,n,0
121627000,49248,2026-3-5 22:16:14,0,n,0
trickle sent len=633 samples=3
121879000,49391,2026-3-5 22:20:26,0,n,0
122132000,49467,2026-3-5 22:24:39,0,n,0
122385000,49551,2026-3-5 22:28:52,0,n,0
trickle sent len=636 samples=3
122638000,49665,2026-3-5 22:33:5,0,n,0
122891000,49792,2026-3-5 22:37:18,0,n,0
123144000,49859,2026-3-5 22:41:31,0,n,0
trickle sent len=635 samples=3
123396000,49943,2026-3-5 22:45:43,0,n,0
123649000,50053,2026-3-5 22:49:56,0,n,0
123902000,50137,2026-3-5 22:54:9,0,n,0
trickle sent len=636 samples=3
124155000,50251,2026-3-5 22:58:22,0,n,0
124408000,50314,2026-3-5 23:2:35,0,n,0
124661000,50411,2026-3-5 23:6:48,0,n,0
trickle sent len=634 samples=3
124913000,50503,2026-3-5 23:11:0,0,n,0
125166000,50587,2026-3-5 23:15:13,0,n,0
125419000,50709,2026-3-5 23:19:26,0,n,0
trickle sent len=634 samples=3
125672000,50831,2026-3-5 23:23:39,0,n,0
125925000,50941,2026-3-5 23:27:52,0,n,0
126178000,51051,2026-3-5 23:32:5,0,n,0
trickle sent len=636 samples=3
126431000,51148,2026-3-5 23:36:18,0,n,0
126683000,51232,2026-3-5 23:40:30,0,n,0
126936000,51346,2026-3-5 23:44:43,0,n,0
trickle sent len=635 samples=3
127189000,51464,2026-3-5 23:48:56,0,n,0
127442000,51569,2026-3-5 23:53:9,0,n,0
127695000,51687,2026-3-5 23:57:22,0,n,0
trickle sent len=635 samples=3
127948000,51851,2026-3-6 0:1:35,0,n,0
128200000,51960,2026-3-6 0:5:47,0,n,0
128453000,52057,2026-3-6 0:10:0,0,n,0
trickle sent len=632 samples=3
128706000,52171,2026-3-6 0:14:13,0,n,0
128959000,52272,2026-3-6 0:18:26,0,n,0
129212000,52369,2026-3-6 0:22:39,0,n,0
trickle sent len=632 samples=3
129465000,52474,2026-3-6 0:26:52,0,n,0
129717000,52583,2026-3-6 0:31:4,0,n,0
129970000,52655,2026-3-6 0:35:17,0,n,0
trickle sent len=632 samples=3
130223000,52756,2026-3-6 0:39:30,0,n,0
130476000,52853,2026-3-6 0:43:43,0,n,0
130729000,52929,2026-3-6 0:47:56,0,n,0
trickle sent len=633 samples=3
130982000,53005,2026-3-6 0:52:9,0,n,0
131234000,53131,2026-3-6 0:56:21,0,n,0
131487000,53220,2026-3-6 1:0:34,0,n,0
trickle sent len=632 samples=3
131740000,53309,2026-3-6 1:4:47,0,n,0
131993000,53402,2026-3-6 1:9:0,0,n,0
132246000,53516,2026-3-6 1:13:13,0,n,0
trickle sent len=629 samples=3
132499000,53609,2026-3-6 1:17:26,0,n,0
132752000,53731,2026-3-6 1:21:39,0,n,0
133004000,53832,2026-3-6 1:25:51,0,n,0
trickle sent len=633 samples=3
133257000,53921,2026-3-6 1:30:4,0,n,0
133510000,54010,2026-3-6 1:34:17,0,n,0
133763000,54099,2026-3-6 1:38:30,0,n,0
trickle sent len=632 samples=3
134016000,54200,2026-3-6 1:42:43,0,n,0
134269000,54280,2026-3-6 1:46:56,0,n,0
134521000,54406,2026-3-6 1:51:8,0,n,0
trickle sent len=633 samples=3
134774000,54503,2026-3-6 1:55:21,0,n,0
135027000,54592,2026-3-6 1:59:34,0,n,0
135280000,54672,2026-3-6 2:3:47,0,n,0
trickle sent len=632 samples=3
135533000,54811,2026-3-6 2:8:0,0,n,0
135786000,54904,2026-3-6 2:12:13,0,n,0
136038000,54984,2026-3-6 2:16:25,0,n,0
trickle sent len=630 samples=3
136291000,55102,2026-3-6 2:20:38,0,n,0
136544000,55216,2026-3-6 2:24:51,0,n,0
136797000,55317,2026-3-6 2:29:4,0,n,0
trickle sent len=633 samples=3
137050000,55397,2026-3-6 2:33:17,0,n,0
137303000,55524,2026-3-6 2:37:30,0,n,0
137556000,55591,2026-3-6 2:41:43,0,n,0
trickle sent len=632 samples=3
137808000,55692,2026-3-6 2:45:55,0,n,0
138061000,55810,2026-3-6 2:50:8,0,n,0
138314000,55890,2026-3-6 2:54:21,0,n,0
trickle sent len=632 samples=3
138567000,55995,2026-3-6 2:58:34,0,n,0
138820000,56100,2026-3-6 3:2:47,0,n,0
139073000,56218,2026-3-6 3:7:0,0,n,0
trickle sent len=632 samples=3
139325000,56306,2026-3-6 3:11:12,0,n,0
139578000,56395,2026-3-6 3:15:25,0,n,0
139831000,56505,2026-3-6 3:19:38,0,n,0
trickle sent len=631 samples=3
140084000,56623,2026-3-6 3:23:51,0,n,0
140337000,56707,2026-3-6 3:28:4,0,n,0
140590000,56817,2026-3-6 3:32:17,0,n,0
trickle sent len=632 samples=3
140842000,56914,2026-3-6 3:36:29,0,n,0
141095000,57011,2026-3-6 3:40:42,0,n,0
141348000,57121,2026-3-6 3:44:55,0,n,0
trickle sent len=633 samples=3
141601000,57277,2026-3-6 3:49:8,0,n,0
141854000,57374,2026-3-6 3:53:21,0,n,0
142107000,57479,2026-3-6 3:57:34,0,n,0
trickle sent len=632 samples=3
142360000,57589,2026-3-6 4:1:47,0,n,0
142612000,57686,2026-3-6 4:5:59,0,n,0
142865000,57775,2026-3-6 4:10:12,0,n,0
trickle sent len=631 samples=3
143118000,57842,2026-3-6 4:14:25,0,n,0
143371000,57926,2026-3-6 4:18:38,0,n,0
143624000,58036,2026-3-6 4:22:51,0,n,0
trickle sent len=633 samples=3
143876000,58124,2026-3-6 4:27:3,0,n,0
144129000,58225,2026-3-6 4:31:16,0,n,0
144382000,58339,2026-3-6 4:35:29,0,n,0
trickle sent len=632 samples=3
144635000,58440,2026-3-6 4:39:42,0,n,0
144888000,58520,2026-3-6 4:43:55,0,n,0
145141000,58655,2026-3-6 4:48:8,0,n,0
trickle sent len=633 samples=3
145394000,58807,2026-3-6 4:52:21,0,n,0
145646000,58925,2026-3-6 4:56:33,0,n,0
145899000,59030,2026-3-6 5:0:46,0,n,0
trickle sent len=632 samples=3
146152000,59199,2026-3-6 5:4:59,0,n,0
146405000,59330,2026-3-6 5:9:12,0,n,0
146658000,59423,2026-3-6 5:13:25,0,n,0
trickle sent len=630 samples=3
146911000,59550,2026-3-6 5:17:38,0,n,0
147163000,59668,2026-3-6 5:21:50,0,n,0
147416000,59757,2026-3-6 5:26:3,0,n,0
trickle sent len=633 samples=3
147669000,59871,2026-3-6 5:30:16,0,n,0
147922000,59938,2026-3-6 5:34:29,0,n,0
148175000,60014,2026-3-6 5:38:42,0,n,0
trickle sent len=632 samples=3
148428000,60107,2026-3-6 5:42:55,0,n,0
148680000,60187,2026-3-6 5:47:7,0,n,0
148933000,60297,2026-3-6 5:51:20,0,n,0
trickle sent len=632 samples=3
149186000,60373,2026-3-6 5:55:33,0,n,0
149439000,60478,2026-3-6 5:59:46,0,n,0
149692000,60596,2026-3-6 6:3:59,0,n,0
trickle sent len=633 samples=3
149945000,60718,2026-3-6 6:8:12,0,n,0
150197000,60869,2026-3-6 6:12:24,0,n,0
150450000,60949,2026-3-6 6:16:37,0,n,0
trickle sent len=631 samples=3
150703000,61050,2026-3-6 6:20:50,0,n,0
150956000,61122,2026-3-6 6:25:3,0,n,0
151209000,61253,2026-3-6 6:29:16,0,n,0
trickle sent len=632 samples=3
151462000,61388,2026-3-6 6:33:29,0,n,0
151714000,61522,2026-3-6 6:37:41,0,n,0
151967000,61640,2026-3-6 6:41:54,0,n,0
trickle sent len=633 samples=3
152220000,61720,2026-3-6 6:46:7,0,n,0
152473000,61809,2026-3-6 6:50:20,0,n,0
152726000,61898,2026-3-6 6:54:33,0,n,0
trickle sent len=632 samples=3
152979000,62016,2026-3-6 6:58:46,0,n,0
153232000,62176,2026-3-6 7:2:59,0,n,0
153484000,62281,2026-3-6 7:7:11,0,n,0
trickle sent len=632 samples=3
153737000,62353,2026-3-6 7:11:24,0,n,0
153990000,62446,2026-3-6 7:15:37,0,n,0
154243000,62551,2026-3-6 7:19:50,0,n,0
trickle sent len=632 samples=3
154496000,62673,2026-3-6 7:24:3,0,n,0
154749000,62812,2026-3-6 7:28:16,0,n,0
155001000,62904,2026-3-6 7:32:28,0,n,0
trickle sent len=632 samples=3
155254000,63001,2026-3-6 7:36:41,0,n,0
155507000,63090,2026-3-6 7:40:54,0,n,0
155760000,63195,2026-3-6 7:45:7,0,n,0
trickle sent len=633 samples=3
156013000,63254,2026-3-6 7:49:20,0,n,0
156266000,63359,2026-3-6 7:53:33,0,n,0
156518000,63451,2026-3-6 7:57:45,0,n,0
trickle sent len=632 samples=3
156771000,63586,2026-3-6 8:1:58,0,n,0
157024000,63683,2026-3-6 8:6:11,0,n,0
157277000,63780,2026-3-6 8:10:24,0,n,0
trickle sent len=631 samples=3
157530000,63885,2026-3-6 8:14:37,0,n,0
157783000,63995,2026-3-6 8:18:50,0,n,0
158036000,64079,2026-3-6 8:23:3,0,n,0
trickle sent len=633 samples=3
158288000,64180,2026-3-6 8:27:15,0,n,0
158541000,64285,2026-3-6 8:31:28,0,n,0
158794000,64424,2026-3-6 8:35:41,0,n,0
trickle sent len=632 samples=3
159047000,64517,2026-3-6 8:39:54,0,n,0
159300000,64631,2026-3-6 8:44:7,0,n,0
159553000,64732,2026-3-6 8:48:20,0,n,0
trickle sent len=632 samples=3
159805000,64883,2026-3-6 8:52:32,0,n,0
160058000,65022,2026-3-6 8:56:45,0,n,0
160311000,65127,2026-3-6 9:0:58,0,n,0
trickle sent len=633 samples=3
160564000,65224,2026-3-6 9:5:11,0,n,0
160817000,65283,2026-3-6 9:9:24,0,n,0
161070000,65372,2026-3-6 9:13:37,0,n,0
trickle sent len=630 samples=3
161322000,65464,2026-3-6 9:17:49,0,n,0
161575000,65548,2026-3-6 9:22:2,0,n,0
161828000,65666,2026-3-6 9:26:15,0,n,0
trickle sent len=632 samples=3
162081000,65771,2026-3-6 9:30:28,0,n,0
162334000,65876,2026-3-6 9:34:41,0,n,0
162587000,65969,2026-3-6 9:38:54,0,n,0
trickle sent len=633 samples=3
162839000,66074,2026-3-6 9:43:6,0,n,0
163092000,66201,2026-3-6 9:47:19,0,n,0
163345000,66302,2026-3-6 9:51:32,0,n,0
trickle sent len=632 samples=3
163598000,66378,2026-3-6 9:55:45,0,n,0
163851000,66513,2026-3-6 9:59:58,0,n,0
164104000,66597,2026-3-6 10:4:11,0,n,0
trickle sent len=633 samples=3
164357000,66728,2026-3-6 10:8:24,0,n,0
164609000,66812,2026-3-6 10:12:36,0,n,0
164862000,66930,2026-3-6 10:16:49,0,n,0
trickle sent len=634 samples=3
165115000,67052,2026-3-6 10:21:2,0,n,0
165368000,67170,2026-3-6 10:25:15,0,n,0
165621000,67263,2026-3-6 10:29:28,0,n,0
trickle sent len=635 samples=3
165874000,67390,2026-3-6 10:33:41,0,n,0
166126000,67520,2026-3-6 10:37:53,0,n,0
166379000,67634,2026-3-6 10:42:6,0,n,0
trickle sent len=636 samples=3
166632000,67735,2026-3-6 10:46:19,0,n,0
166885000,67857,2026-3-6 10:50:32,0,n,0
167138000,67971,2026-3-6 10:54:45,0,n,0
trickle sent len=635 samples=3
167391000,68068,2026-3-6 10:58:58,0,n,0
167643000,68165,2026-3-6 11:3:10,0,n,0
167896000,68283,2026-3-6 11:7:23,0,n,0
trickle sent len=635 samples=3
168149000,68380,2026-3-6 11:11:36,0,n,0
168402000,68485,2026-3-6 11:15:49,0,n,0
168655000,68599,2026-3-6 11:20:2,0,n,0
trickle sent len=635 samples=3
168908000,68692,2026-3-6 11:24:15,0,n,0
169160000,68751,2026-3-6 11:28:27,0,n,0
169413000,68852,2026-3-6 11:32:40,0,n,0
trickle sent len=635 samples=3
169666000,68966,2026-3-6 11:36:53,0,n,0
169919000,69046,2026-3-6 11:41:6,0,n,0
170172000,69160,2026-3-6 11:45:19,0,n,0
trickle sent len=635 samples=3
170425000,69270,2026-3-6 11:49:32,0,n,0
170677000,69392,2026-3-6 11:53:44,0,n,0
170930000,69510,2026-3-6 11:57:57,0,n,0
trickle sent len=636 samples=3
171183000,69641,2026-3-6 12:2:10,0,n,0
171436000,69751,2026-3-6 12:6:23,0,n,0
171689000,69861,2026-3-6 12:10:36,0,n,0
trickle sent len=634 samples=3
171942000,69975,2026-3-6 12:14:49,0,n,0
172195000,70080,2026-3-6 12:19:2,0,n,0
172447000,70193,2026-3-6 12:23:14,0,n,0
trickle sent len=635 samples=3
172700000,70303,2026-3-6 12:27:27,0,n,0
172953000,70396,2026-3-6 12:31:40,0,n,0
173206000,70468,2026-3-6 12:35:53,0,n,0
trickle sent len=636 samples=3
173459000,70573,2026-3-6 12:40:6,0,n,0
trickle sent (on exit) len=423 samples=2
2026-03-06 21:44:07 (18556): called boinc_finish(0)

</stderr_txt>
]]>