| summary = 2000000 in 00:00:54 = 37123.7/s Avg: 5 Min: 0 Max: 254 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:55 = 36512.3/s Avg: 5 Min: 0 Max: 314 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:55 = 36573.1/s Avg: 5 Min: 0 Max: 248 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:54 = 37094.7/s Avg: 5 Min: 0 Max: 263 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:52 = 38562.4/s Avg: 5 Min: 0 Max: 220 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:52 = 38384.8/s Avg: 5 Min: 0 Max: 235 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:52 = 38468.2/s Avg: 5 Min: 0 Max: 287 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:52 = 38524.5/s Avg: 5 Min: 0 Max: 250 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:52 = 38516.4/s Avg: 5 Min: 0 Max: 218 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:52 = 38569.1/s Avg: 5 Min: 0 Max: 267 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:52 = 38388.5/s Avg: 5 Min: 0 Max: 221 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:52 = 38513.4/s Avg: 5 Min: 0 Max: 233 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:52 = 38681.0/s Avg: 5 Min: 0 Max: 228 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:52 = 38314.9/s Avg: 5 Min: 0 Max: 255 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:52 = 38454.9/s Avg: 5 Min: 0 Max: 270 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:52 = 38526.7/s Avg: 5 Min: 0 Max: 235 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:52 = 38635.4/s Avg: 5 Min: 0 Max: 226 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:52 = 38549.0/s Avg: 5 Min: 0 Max: 287 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:52 = 38627.2/s Avg: 5 Min: 0 Max: 299 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:52 = 38364.2/s Avg: 5 Min: 0 Max: 251 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:52 = 38480.8/s Avg: 5 Min: 0 Max: 240 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:52 = 38418.7/s Avg: 5 Min: 0 Max: 218 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:52 = 38398.0/s Avg: 5 Min: 0 Max: 261 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:52 = 38255.5/s Avg: 5 Min: 0 Max: 243 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:52 = 38569.8/s Avg: 5 Min: 0 Max: 285 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:52 = 38251.9/s Avg: 5 Min: 0 Max: 241 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:52 = 38648.1/s Avg: 5 Min: 0 Max: 272 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:52 = 38485.2/s Avg: 5 Min: 0 Max: 222 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:52 = 38433.5/s Avg: 5 Min: 0 Max: 253 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:52 = 38816.9/s Avg: 5 Min: 0 Max: 225 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:52 = 38611.5/s Avg: 5 Min: 0 Max: 239 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:52 = 38336.9/s Avg: 5 Min: 0 Max: 253 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49627.8/s Avg: 0 Min: 0 Max: 79 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49876.6/s Avg: 0 Min: 0 Max: 77 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49724.0/s Avg: 0 Min: 0 Max: 64 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49557.7/s Avg: 0 Min: 0 Max: 77 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49687.0/s Avg: 0 Min: 0 Max: 124 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49467.0/s Avg: 0 Min: 0 Max: 78 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49717.9/s Avg: 0 Min: 0 Max: 60 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49742.6/s Avg: 0 Min: 0 Max: 52 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:41 = 49123.2/s Avg: 0 Min: 0 Max: 92 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:41 = 48860.3/s Avg: 0 Min: 0 Max: 81 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49896.5/s Avg: 0 Min: 0 Max: 78 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 50342.3/s Avg: 0 Min: 0 Max: 54 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49913.9/s Avg: 0 Min: 0 Max: 53 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 50086.4/s Avg: 0 Min: 0 Max: 83 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49587.2/s Avg: 0 Min: 0 Max: 63 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49923.9/s Avg: 0 Min: 0 Max: 77 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49953.8/s Avg: 0 Min: 0 Max: 77 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49808.2/s Avg: 0 Min: 0 Max: 77 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49576.1/s Avg: 0 Min: 0 Max: 61 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 50066.3/s Avg: 0 Min: 0 Max: 69 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 50040.0/s Avg: 0 Min: 0 Max: 78 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49792.1/s Avg: 0 Min: 0 Max: 93 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49861.6/s Avg: 0 Min: 0 Max: 80 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49426.7/s Avg: 0 Min: 0 Max: 101 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:41 = 49354.7/s Avg: 0 Min: 0 Max: 66 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:41 = 49073.7/s Avg: 0 Min: 0 Max: 136 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49447.4/s Avg: 0 Min: 0 Max: 85 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:41 = 49171.5/s Avg: 0 Min: 0 Max: 109 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 50043.8/s Avg: 0 Min: 0 Max: 61 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49599.5/s Avg: 0 Min: 0 Max: 83 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 50102.7/s Avg: 0 Min: 0 Max: 61 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:42 = 48102.4/s Avg: 0 Min: 0 Max: 62 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49759.9/s Avg: 0 Min: 0 Max: 61 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49503.7/s Avg: 0 Min: 0 Max: 107 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 50051.3/s Avg: 0 Min: 0 Max: 48 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49913.9/s Avg: 0 Min: 0 Max: 57 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:41 = 49312.1/s Avg: 0 Min: 0 Max: 81 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49550.3/s Avg: 0 Min: 0 Max: 54 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:43 = 46768.3/s Avg: 0 Min: 0 Max: 115 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49972.5/s Avg: 0 Min: 0 Max: 67 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49448.6/s Avg: 0 Min: 0 Max: 73 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49815.7/s Avg: 0 Min: 0 Max: 41 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49778.5/s Avg: 0 Min: 0 Max: 63 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49942.6/s Avg: 0 Min: 0 Max: 52 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49860.4/s Avg: 0 Min: 0 Max: 69 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:42 = 47264.6/s Avg: 0 Min: 0 Max: 55 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:41 = 49341.3/s Avg: 0 Min: 0 Max: 61 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49490.3/s Avg: 0 Min: 0 Max: 120 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49589.6/s Avg: 0 Min: 0 Max: 55 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49442.5/s Avg: 0 Min: 0 Max: 58 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:40 = 49733.9/s Avg: 0 Min: 0 Max: 82 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:41 = 49178.7/s Avg: 0 Min: 0 Max: 58 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:42 = 47169.8/s Avg: 0 Min: 0 Max: 94 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:43 = 47010.2/s Avg: 0 Min: 0 Max: 95 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:43 = 46945.1/s Avg: 0 Min: 0 Max: 99 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:42 = 47172.0/s Avg: 0 Min: 0 Max: 99 Err: 0 (0.00%) |
| summary = 2000000 in 00:00:42 = 47172.0/s Avg: 0 Min: 0 Max: 99 Err: 0 (0.00%) |
