| summary = 2000000 in 00:00:24 = 84093.7/s Avg: 2 Min: 0 Max: 926 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:22 = 89059.1/s Avg: 2 Min: 0 Max: 377 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:23 = 88354.8/s Avg: 2 Min: 0 Max: 972 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:23 = 88350.9/s Avg: 2 Min: 0 Max: 638 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:22 = 89907.8/s Avg: 2 Min: 0 Max: 466 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:23 = 85565.2/s Avg: 2 Min: 0 Max: 949 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:24 = 84850.0/s Avg: 2 Min: 0 Max: 963 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:23 = 85124.5/s Avg: 2 Min: 0 Max: 1471 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:24 = 83056.5/s Avg: 2 Min: 0 Max: 1349 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:24 = 85088.3/s Avg: 2 Min: 0 Max: 1111 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:22 = 90163.2/s Avg: 2 Min: 0 Max: 918 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:23 = 85925.4/s Avg: 2 Min: 0 Max: 860 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:23 = 88731.1/s Avg: 2 Min: 0 Max: 583 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:24 = 84430.9/s Avg: 2 Min: 0 Max: 808 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:23 = 85459.1/s Avg: 2 Min: 0 Max: 527 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:24 = 84563.0/s Avg: 2 Min: 0 Max: 899 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:25 = 80463.5/s Avg: 2 Min: 0 Max: 767 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:24 = 82440.2/s Avg: 2 Min: 0 Max: 1225 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:25 = 79415.5/s Avg: 2 Min: 0 Max: 537 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:24 = 83018.6/s Avg: 2 Min: 0 Max: 546 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:24 = 82846.6/s Avg: 2 Min: 0 Max: 595 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:24 = 85095.5/s Avg: 2 Min: 0 Max: 1014 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:24 = 83028.9/s Avg: 2 Min: 0 Max: 617 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:22 = 91869.5/s Avg: 2 Min: 0 Max: 621 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:21 = 93654.9/s Avg: 2 Min: 0 Max: 569 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:20 = 100235.6/s Avg: 1 Min: 0 Max: 326 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:22 = 92885.0/s Avg: 2 Min: 0 Max: 842 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:21 = 93301.0/s Avg: 2 Min: 0 Max: 887 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:59 = 33972.0/s Avg: 0 Min: 0 Max: 338 Err: 0 (0.00%) |
| summary = 2000000 in 00:01:00 = 33525.0/s Avg: 0 Min: 0 Max: 225 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:59 = 33949.5/s Avg: 0 Min: 0 Max: 191 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:59 = 33618.5/s Avg: 0 Min: 0 Max: 243 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:58 = 34314.1/s Avg: 0 Min: 0 Max: 221 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:59 = 34135.5/s Avg: 0 Min: 0 Max: 184 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:59 = 33762.1/s Avg: 0 Min: 0 Max: 191 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:59 = 34096.5/s Avg: 0 Min: 0 Max: 269 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:59 = 34054.7/s Avg: 0 Min: 0 Max: 247 Err: 0 (0.00%) |
| summary = 2000000 in 00:01:01 = 32969.6/s Avg: 0 Min: 0 Max: 225 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:59 = 34024.6/s Avg: 0 Min: 0 Max: 210 Err: 0 (0.00%) |
| summary = 2000000 in 00:01:02 = 32422.8/s Avg: 0 Min: 0 Max: 47 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:58 = 34495.2/s Avg: 0 Min: 0 Max: 256 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:59 = 34153.6/s Avg: 0 Min: 0 Max: 275 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:57 = 34800.2/s Avg: 0 Min: 0 Max: 339 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:58 = 34721.6/s Avg: 0 Min: 0 Max: 243 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:58 = 34432.9/s Avg: 0 Min: 0 Max: 269 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:58 = 34528.6/s Avg: 0 Min: 0 Max: 265 Err: 0 (0.00%) |
