| summary = 2000000 in 00:00:36 = 55923.7/s Avg: 3 Min: 0 Max: 73 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:36 = 55923.7/s Avg: 3 Min: 0 Max: 73 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:36 = 56044.4/s Avg: 3 Min: 0 Max: 56 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:36 = 55991.0/s Avg: 3 Min: 0 Max: 102 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:34 = 59428.3/s Avg: 3 Min: 0 Max: 59 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:33 = 59731.8/s Avg: 3 Min: 0 Max: 62 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:34 = 59527.4/s Avg: 3 Min: 0 Max: 66 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:34 = 59658.8/s Avg: 3 Min: 0 Max: 53 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:33 = 59765.7/s Avg: 3 Min: 0 Max: 55 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:34 = 59653.4/s Avg: 3 Min: 0 Max: 54 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:34 = 59438.9/s Avg: 3 Min: 0 Max: 68 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:34 = 59306.7/s Avg: 3 Min: 0 Max: 53 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:34 = 59481.3/s Avg: 3 Min: 0 Max: 57 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:34 = 59546.8/s Avg: 3 Min: 0 Max: 84 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:34 = 59569.9/s Avg: 3 Min: 0 Max: 86 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:33 = 59738.9/s Avg: 3 Min: 0 Max: 63 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:33 = 59730.0/s Avg: 3 Min: 0 Max: 71 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:34 = 59667.7/s Avg: 3 Min: 0 Max: 55 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:33 = 60141.3/s Avg: 3 Min: 0 Max: 89 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:34 = 59502.6/s Avg: 3 Min: 0 Max: 67 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:34 = 59552.2/s Avg: 3 Min: 0 Max: 129 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:33 = 59703.3/s Avg: 3 Min: 0 Max: 106 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:33 = 60257.3/s Avg: 3 Min: 0 Max: 74 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:33 = 59708.6/s Avg: 3 Min: 0 Max: 111 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:33 = 59917.9/s Avg: 3 Min: 0 Max: 85 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 50626.5/s Avg: 3 Min: 0 Max: 84 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:37 = 53724.4/s Avg: 3 Min: 0 Max: 114 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:38 = 52770.4/s Avg: 3 Min: 0 Max: 70 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:37 = 53564.7/s Avg: 3 Min: 0 Max: 75 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:37 = 53650.9/s Avg: 3 Min: 0 Max: 74 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:35 = 57105.3/s Avg: 3 Min: 0 Max: 184 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:36 = 56141.9/s Avg: 3 Min: 0 Max: 142 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:37 = 54048.2/s Avg: 3 Min: 0 Max: 77 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:54 = 37154.0/s Avg: 0 Min: 0 Max: 49 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:54 = 37226.6/s Avg: 0 Min: 0 Max: 44 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:54 = 37255.7/s Avg: 0 Min: 0 Max: 53 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:54 = 36961.7/s Avg: 0 Min: 0 Max: 53 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:55 = 36681.8/s Avg: 0 Min: 0 Max: 42 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:55 = 36515.7/s Avg: 0 Min: 0 Max: 40 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:54 = 36833.8/s Avg: 0 Min: 0 Max: 41 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:54 = 36946.7/s Avg: 0 Min: 0 Max: 50 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:54 = 37037.7/s Avg: 0 Min: 0 Max: 43 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:54 = 36867.0/s Avg: 0 Min: 0 Max: 46 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:54 = 37089.9/s Avg: 0 Min: 0 Max: 50 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:58 = 34541.7/s Avg: 0 Min: 0 Max: 43 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:54 = 37125.7/s Avg: 0 Min: 0 Max: 43 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:53 = 37593.3/s Avg: 0 Min: 0 Max: 52 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:54 = 37291.2/s Avg: 0 Min: 0 Max: 43 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:54 = 37151.2/s Avg: 0 Min: 0 Max: 45 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:54 = 37300.2/s Avg: 0 Min: 0 Max: 48 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:53 = 37412.5/s Avg: 0 Min: 0 Max: 40 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:54 = 37311.3/s Avg: 0 Min: 0 Max: 49 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:54 = 37292.6/s Avg: 0 Min: 0 Max: 47 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:53 = 37810.8/s Avg: 0 Min: 0 Max: 46 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:54 = 37005.5/s Avg: 0 Min: 0 Max: 40 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:54 = 37374.8/s Avg: 0 Min: 0 Max: 44 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:54 = 37243.3/s Avg: 0 Min: 0 Max: 47 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:54 = 37127.1/s Avg: 0 Min: 0 Max: 43 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:53 = 37654.9/s Avg: 0 Min: 0 Max: 48 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:54 = 37323.2/s Avg: 0 Min: 0 Max: 45 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:54 = 37221.1/s Avg: 0 Min: 0 Max: 42 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:53 = 37544.6/s Avg: 0 Min: 0 Max: 47 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:54 = 36785.7/s Avg: 0 Min: 0 Max: 39 Err: 0 (0.00%) |
| summary = 2000000 in 00:01:16 = 26378.3/s Avg: 0 Min: 0 Max: 45 Err: 0 (0.00%) |
| summary = 2000000 in 00:01:16 = 26466.6/s Avg: 0 Min: 0 Max: 43 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:02 = 16346.8/s Avg: 1 Min: 0 Max: 102 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:01 = 16558.1/s Avg: 1 Min: 0 Max: 152 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
| summary = 2000000 in 00:02:03 = 16256.1/s Avg: 1 Min: 0 Max: 154 Err: 0 (0.00%) |
