measurementTime: 2 secs
# JMH 1.10.3 (released 30 days ago)
# VM version: JDK 1.8.0_51, VM 25.51-b03
# VM invoker: /opt/jdk1.8.0_51/jre/bin/java
# VM options: -XX:MaxInlineSize=400 -Xmx1g -Dverbose:gc -Didea.launcher.port=7549 -Didea.launcher.bin.path=/opt/idea-IU-142.3371.3/bin -Dfile.encoding=UTF-8
# Warmup: 20 iterations, 1 s each
# Measurement: 5 iterations, 2 s each
# Timeout: 10 min per iteration
# Threads: 1 thread, will synchronize iterations
# Benchmark mode: Sampling time
# Benchmark: net.openhft.chronicle.wire.benchmarks.ComparisonMain.snakeYaml

# Run progress: 0.00% complete, ETA 00:05:00
# Fork: 1 of 10
# Warmup Iteration   1: n = 202, mean = 5032808 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 913408, 1311744, 15142093, 20960051, 38489948, 134479872, 134479872, 134479872 ns/op
# Warmup Iteration   2: n = 322, mean = 3105744 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 596992, 711168, 10761011, 18900582, 36222075, 44826624, 44826624, 44826624 ns/op
# Warmup Iteration   3: n = 372, mean = 2764983 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 460800, 534528, 1520128, 25160909, 33877524, 49152000, 49152000, 49152000 ns/op
# Warmup Iteration   4: n = 425, mean = 2369293 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 374272, 457216, 618906, 27685683, 36569088, 44761088, 44761088, 44761088 ns/op
# Warmup Iteration   5: n = 667, mean = 1535097 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 255488, 296960, 402534, 9217638, 32483574, 40632320, 40632320, 40632320 ns/op
# Warmup Iteration   6: n = 877, mean = 1154655 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 188928, 226560, 266240, 426240, 31732531, 40239104, 40239104, 40239104 ns/op
# Warmup Iteration   7: n = 1257, mean = 813801 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 146176, 162304, 193331, 228122, 27021148, 41286304, 44236800, 44236800 ns/op
# Warmup Iteration   8: n = 1352, mean = 758671 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 139264, 156160, 172800, 193050, 24473764, 41499230, 44367872, 44367872 ns/op
# Warmup Iteration   9: n = 1435, mean = 715557 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 113280, 128256, 146688, 153344, 32145408, 56383242, 68812800, 68812800 ns/op
# Warmup Iteration  10: n = 2006, mean = 510139 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 91008, 96256, 115200, 119546, 24089723, 40145584, 85721088, 85721088 ns/op
# Warmup Iteration  11: n = 7903, mean = 125491 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 63680, 65792, 83968, 87654, 102113, 25890128, 40239104, 40239104 ns/op
# Warmup Iteration  12: n = 12374, mean = 80131 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 63616, 65280, 66048, 66560, 72064, 250848, 24150016, 24150016 ns/op
# Warmup Iteration  13: n = 10771, mean = 90250 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 63872, 70656, 71424, 71808, 77056, 3331211, 85790923, 91619328 ns/op
# Warmup Iteration  14: n = 10891, mean = 89485 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 64064, 71296, 73600, 74368, 87434, 10691346, 21307510, 21430272 ns/op
# Warmup Iteration  15: n = 12063, mean = 82740 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 62592, 64256, 70912, 71296, 73728, 9883222, 24075908, 26148864 ns/op
# Warmup Iteration  16: n = 15176, mean = 65790 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 62592, 64320, 65024, 65344, 70144, 80896, 9813869, 11255808 ns/op
# Warmup Iteration  17: n = 15324, mean = 65149 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 62464, 64192, 64896, 65280, 69888, 80384, 6428590, 6463488 ns/op
# Warmup Iteration  18: n = 15423, mean = 64730 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 62464, 64128, 64896, 65280, 70016, 80128, 2994491, 6414336 ns/op
# Warmup Iteration  19: n = 15205, mean = 65662 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 62464, 64192, 64960, 65344, 70016, 80331, 9655019, 12845056 ns/op
# Warmup Iteration  20: n = 15302, mean = 65238 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 62464, 64192, 64960, 65408, 70016, 80512, 6685055, 8470528 ns/op
Iteration   1: n = 30747, mean = 64934 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 62336, 64128, 64896, 65408, 70016, 80384, 4720882, 5021696 ns/op
Iteration   2: n = 30596, mean = 65258 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 62528, 64256, 65024, 65536, 70144, 81255, 4625179, 7774208 ns/op
Iteration   3: n = 30358, mean = 65766 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 62528, 64192, 65024, 65542, 70144, 80850, 4292418, 16121856 ns/op
Iteration   4: n = 30361, mean = 65761 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 62336, 64128, 64960, 65536, 70016, 81106, 3790616, 16105472 ns/op
Iteration   5: n = 30456, mean = 65560 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 62336, 64192, 64960, 65536, 70144, 80768, 3355725, 11272192 ns/op

# Run progress: 10.00% complete, ETA 00:04:48
# Fork: 2 of 10
# Warmup Iteration   1: n = 201, mean = 4961581 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 921600, 1337344, 15210906, 21443379, 50125865, 139984896, 139984896, 139984896 ns/op
# Warmup Iteration   2: n = 326, mean = 3097182 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 636928, 726016, 11205018, 21232026, 32467190, 44302336, 44302336, 44302336 ns/op
# Warmup Iteration   3: n = 359, mean = 2830516 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 486400, 583680, 8167424, 21626880, 32885965, 40566784, 40566784, 40566784 ns/op
# Warmup Iteration   4: n = 418, mean = 2405605 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 400896, 453632, 609792, 28509798, 36609720, 40697856, 40697856, 40697856 ns/op
# Warmup Iteration   5: n = 593, mean = 1694890 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 272384, 323072, 445440, 9204531, 32642826, 47906816, 47906816, 47906816 ns/op
# Warmup Iteration   6: n = 803, mean = 1212376 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 225536, 245504, 289792, 495104, 32339395, 74055680, 74055680, 74055680 ns/op
# Warmup Iteration   7: n = 1140, mean = 874910 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 145920, 173184, 226816, 246451, 32184074, 36419535, 36438016, 36438016 ns/op
# Warmup Iteration   8: n = 1287, mean = 781274 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 145664, 161024, 181248, 214016, 24814551, 41216901, 44236800, 44236800 ns/op
# Warmup Iteration   9: n = 1273, mean = 781609 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 123520, 144896, 176538, 187725, 32178176, 48249307, 52756480, 52756480 ns/op
# Warmup Iteration  10: n = 1933, mean = 501471 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 91264, 106240, 124160, 128038, 24117248, 36565811, 41156608, 41156608 ns/op
# Warmup Iteration  11: n = 3670, mean = 271769 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 62848, 69632, 95744, 98176, 3959849, 31176229, 65470464, 65470464 ns/op
# Warmup Iteration  12: n = 14148, mean = 70038 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61760, 63488, 64256, 64832, 70784, 248718, 15213938, 15220736 ns/op
# Warmup Iteration  13: n = 11049, mean = 87806 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61824, 67328, 68352, 68864, 73856, 13447987, 27695186, 28114944 ns/op
# Warmup Iteration  14: n = 11475, mean = 85769 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 62208, 67968, 71168, 72448, 79488, 7702446, 27723183, 28114944 ns/op
# Warmup Iteration  15: n = 12380, mean = 78926 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60928, 62848, 68224, 68736, 72320, 643481, 31106161, 32768000 ns/op
# Warmup Iteration  16: n = 15597, mean = 63994 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60672, 62336, 63040, 63360, 68227, 79795, 11382335, 11501568 ns/op
# Warmup Iteration  17: n = 15797, mean = 63189 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60608, 62208, 62912, 63232, 68096, 79642, 6454336, 6520832 ns/op
# Warmup Iteration  18: n = 15902, mean = 62771 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60608, 62208, 62912, 63232, 67968, 79872, 2695944, 6430720 ns/op
# Warmup Iteration  19: n = 15693, mean = 63611 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60352, 62208, 62912, 63296, 67968, 79783, 9234481, 12779520 ns/op
# Warmup Iteration  20: n = 15768, mean = 63301 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60672, 62272, 62976, 63296, 67968, 79262, 4642030, 4694016 ns/op
Iteration   1: n = 31718, mean = 62940 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60608, 62272, 62918, 63296, 67968, 79396, 4162558, 4407296 ns/op
Iteration   2: n = 31583, mean = 63205 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60416, 62208, 62912, 63296, 67968, 79488, 3870681, 7176192 ns/op
Iteration   3: n = 31001, mean = 64390 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60416, 62208, 62912, 63296, 67840, 79872, 3929246, 24117248 ns/op
Iteration   4: n = 31295, mean = 63783 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60160, 62208, 62912, 63296, 67968, 80090, 3586503, 12517376 ns/op
Iteration   5: n = 31647, mean = 63076 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60416, 62208, 62912, 63296, 67840, 79533, 3755495, 3878912 ns/op

# Run progress: 20.00% complete, ETA 00:04:15
# Fork: 3 of 10
# Warmup Iteration   1: n = 202, mean = 4937738 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 921600, 1278976, 15151923, 17370317, 50283807, 122683392, 122683392, 122683392 ns/op
# Warmup Iteration   2: n = 334, mean = 2994391 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 601088, 713728, 10305536, 20668416, 30359552, 41418752, 41418752, 41418752 ns/op
# Warmup Iteration   3: n = 391, mean = 2636305 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 472576, 559104, 6938624, 19654246, 35072246, 56754176, 56754176, 56754176 ns/op
# Warmup Iteration   4: n = 414, mean = 2413635 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 367616, 473856, 652288, 28647424, 35577856, 41156608, 41156608, 41156608 ns/op
# Warmup Iteration   5: n = 611, mean = 1684762 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 274944, 315392, 389018, 596173, 32505856, 36503552, 36503552, 36503552 ns/op
# Warmup Iteration   6: n = 742, mean = 1367801 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 215808, 238976, 288614, 436813, 32440320, 82313216, 82313216, 82313216 ns/op
# Warmup Iteration   7: n = 1018, mean = 1000296 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 154624, 182272, 223232, 257408, 32303022, 44290671, 44367872, 44367872 ns/op
# Warmup Iteration   8: n = 1300, mean = 772697 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 153600, 162304, 175616, 225446, 24345641, 46688829, 48365568, 48365568 ns/op
# Warmup Iteration   9: n = 1410, mean = 723806 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 113280, 142848, 168704, 176499, 28180480, 36291674, 36372480, 36372480 ns/op
# Warmup Iteration  10: n = 2504, mean = 388820 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 87808, 96384, 111232, 115424, 12138906, 35183657, 51380224, 51380224 ns/op
# Warmup Iteration  11: n = 6164, mean = 172703 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61440, 63296, 89984, 90880, 104070, 32037274, 72876032, 72876032 ns/op
# Warmup Iteration  12: n = 14631, mean = 67723 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61312, 62592, 63296, 63872, 69591, 245854, 15620977, 16121856 ns/op
# Warmup Iteration  13: n = 11489, mean = 84019 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61632, 68224, 69120, 70016, 78464, 6017638, 24112366, 24117248 ns/op
# Warmup Iteration  14: n = 10206, mean = 94303 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61504, 68992, 71296, 72064, 76672, 15916696, 24034496, 24117248 ns/op
# Warmup Iteration  15: n = 11681, mean = 85454 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60224, 61952, 69632, 70784, 82816, 11791860, 32256800, 33816576 ns/op
# Warmup Iteration  16: n = 15880, mean = 62847 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60160, 61440, 62080, 62400, 67200, 77614, 9383648, 11272192 ns/op
# Warmup Iteration  17: n = 15957, mean = 62542 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60032, 61568, 62208, 62656, 67200, 77440, 6409799, 6463488 ns/op
# Warmup Iteration  18: n = 15854, mean = 62952 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60288, 61568, 62208, 62656, 67328, 77093, 9032712, 12812288 ns/op
# Warmup Iteration  19: n = 15960, mean = 62532 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60288, 61632, 62272, 62656, 67328, 77573, 5713704, 6807552 ns/op
# Warmup Iteration  20: n = 15761, mean = 63317 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60288, 61632, 62208, 62720, 67200, 77726, 9002960, 14237696 ns/op
Iteration   1: n = 32014, mean = 62336 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60224, 61568, 62208, 62656, 67200, 77440, 4553040, 4726784 ns/op
Iteration   2: n = 31909, mean = 62548 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60224, 61568, 62208, 62720, 67200, 76684, 4396253, 7446528 ns/op
Iteration   3: n = 30748, mean = 64918 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60160, 61568, 62208, 62784, 67200, 78080, 16066568, 16629760 ns/op
Iteration   4: n = 31844, mean = 62673 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60160, 61568, 62272, 62784, 67328, 77716, 4045337, 4841472 ns/op
Iteration   5: n = 31920, mean = 62527 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60032, 61568, 62208, 62720, 67200, 77312, 4155241, 4456448 ns/op

# Run progress: 30.00% complete, ETA 00:03:43
# Fork: 4 of 10
# Warmup Iteration   1: n = 195, mean = 5075569 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 897024, 1605632, 17150771, 22537830, 51983155, 130940928, 130940928, 130940928 ns/op
# Warmup Iteration   2: n = 335, mean = 3035188 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 634880, 736256, 9355264, 22780314, 32600228, 45023232, 45023232, 45023232 ns/op
# Warmup Iteration   3: n = 350, mean = 2857181 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 426496, 542720, 750387, 28668723, 37838520, 64684032, 64684032, 64684032 ns/op
# Warmup Iteration   4: n = 520, mean = 1920348 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 309760, 392704, 571392, 16432333, 32505856, 36569088, 36569088, 36569088 ns/op
# Warmup Iteration   5: n = 736, mean = 1356417 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 252672, 285184, 375245, 7497318, 28227994, 45285376, 45285376, 45285376 ns/op
# Warmup Iteration   6: n = 863, mean = 1164964 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 215552, 224768, 262963, 421478, 32255508, 68419584, 68419584, 68419584 ns/op
# Warmup Iteration   7: n = 908, mean = 1099281 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 196608, 211968, 226330, 299622, 32339067, 36372480, 36372480, 36372480 ns/op
# Warmup Iteration   8: n = 918, mean = 1091949 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 186368, 205312, 218163, 282931, 32243712, 44367872, 44367872, 44367872 ns/op
# Warmup Iteration   9: n = 998, mean = 1006990 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 166656, 185600, 197658, 252339, 32309248, 81526784, 81526784, 81526784 ns/op
# Warmup Iteration  10: n = 1285, mean = 797644 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 124416, 162816, 179968, 199552, 32215532, 36288201, 36306944, 36306944 ns/op
# Warmup Iteration  11: n = 1693, mean = 579418 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 97920, 111104, 129152, 132762, 25683558, 45790790, 61800448, 61800448 ns/op
# Warmup Iteration  12: n = 2253, mean = 442346 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 86400, 94976, 98253, 102566, 23002481, 40108032, 40763392, 40763392 ns/op
# Warmup Iteration  13: n = 2695, mean = 374215 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 69248, 80128, 87296, 89856, 13683261, 37325636, 74842112, 74842112 ns/op
# Warmup Iteration  14: n = 7797, mean = 127531 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 65536, 67584, 68992, 71168, 243968, 24209916, 41025536, 41025536 ns/op
# Warmup Iteration  15: n = 11004, mean = 95514 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 65920, 67968, 73088, 73984, 78720, 15713649, 73887203, 79429632 ns/op
# Warmup Iteration  16: n = 12775, mean = 76033 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 65920, 71936, 73088, 73472, 78080, 105846, 15228024, 15237120 ns/op
# Warmup Iteration  17: n = 11643, mean = 85518 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 65664, 71808, 72576, 73088, 79432, 2545254, 25215022, 27000832 ns/op
# Warmup Iteration  18: n = 12779, mean = 76378 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 63296, 67456, 71808, 72192, 76416, 149281, 22737125, 25296896 ns/op
# Warmup Iteration  19: n = 14415, mean = 69261 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 63232, 64576, 65216, 65664, 70528, 82304, 26737430, 40108032 ns/op
# Warmup Iteration  20: n = 15318, mean = 65175 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 63040, 64512, 65152, 65536, 70400, 80768, 3271533, 6864896 ns/op
Iteration   1: n = 30348, mean = 65785 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 63040, 64512, 65216, 65664, 70400, 81408, 6816480, 13385728 ns/op
Iteration   2: n = 30369, mean = 65748 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 62976, 64576, 65216, 65664, 70528, 81920, 5644624, 8650752 ns/op
Iteration   3: n = 30027, mean = 66499 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 62976, 64512, 65216, 65664, 70400, 81788, 4628434, 16089088 ns/op
Iteration   4: n = 29916, mean = 66743 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 63232, 64640, 65344, 65920, 70784, 82304, 4350236, 16105472 ns/op
Iteration   5: n = 30465, mean = 65544 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 63104, 64576, 65216, 65792, 70528, 81988, 3406918, 3489792 ns/op

# Run progress: 40.00% complete, ETA 00:03:11
# Fork: 5 of 10
# Warmup Iteration   1: n = 208, mean = 4796308 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 905216, 1307648, 13816627, 19403571, 48694559, 131858432, 131858432, 131858432 ns/op
# Warmup Iteration   2: n = 326, mean = 3105211 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 601088, 706048, 10931405, 21497446, 33237565, 39190528, 39190528, 39190528 ns/op
# Warmup Iteration   3: n = 376, mean = 2669578 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 428544, 517376, 703283, 28341043, 36916429, 40828928, 40828928, 40828928 ns/op
# Warmup Iteration   4: n = 526, mean = 1940126 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 313344, 395776, 560742, 14748058, 32619233, 40501248, 40501248, 40501248 ns/op
# Warmup Iteration   5: n = 717, mean = 1405086 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 250880, 295424, 385434, 8436122, 27725660, 36372480, 36372480, 36372480 ns/op
# Warmup Iteration   6: n = 818, mean = 1242576 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 207104, 240384, 266752, 429645, 32342016, 78249984, 78249984, 78249984 ns/op
# Warmup Iteration   7: n = 1170, mean = 842036 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 145920, 173824, 196275, 222323, 28461629, 42955571, 43515904, 43515904 ns/op
# Warmup Iteration   8: n = 1125, mean = 912940 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 166144, 173312, 181606, 232832, 32210944, 43898241, 44236800, 44236800 ns/op
# Warmup Iteration   9: n = 1098, mean = 881290 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 165120, 170496, 178688, 206886, 32276480, 74694459, 77594624, 77594624 ns/op
# Warmup Iteration  10: n = 1316, mean = 757912 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 116864, 136832, 174592, 181760, 32210944, 36351705, 36372480, 36372480 ns/op
# Warmup Iteration  11: n = 2108, mean = 457203 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 83328, 94080, 120576, 125837, 19960300, 32243712, 36241408, 36241408 ns/op
# Warmup Iteration  12: n = 7476, mean = 130168 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 62656, 64832, 74240, 77184, 226012, 24220074, 57999360, 57999360 ns/op
# Warmup Iteration  13: n = 12555, mean = 79023 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 62144, 64064, 64832, 65344, 69888, 110179, 30093410, 32145408 ns/op
# Warmup Iteration  14: n = 11676, mean = 85303 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 62720, 68736, 70144, 71552, 75520, 9730417, 26564274, 27394048 ns/op
# Warmup Iteration  15: n = 10389, mean = 97081 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 63168, 70656, 72576, 73472, 78592, 13990625, 25822822, 25886720 ns/op
# Warmup Iteration  16: n = 13887, mean = 71857 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61568, 63360, 68992, 69376, 73856, 244736, 21436511, 24838144 ns/op
# Warmup Iteration  17: n = 15493, mean = 64433 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61824, 63296, 64064, 64512, 68864, 80640, 7138840, 8192000 ns/op
# Warmup Iteration  18: n = 15540, mean = 64234 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61760, 63296, 64000, 64448, 68736, 80827, 6103040, 6103040 ns/op
# Warmup Iteration  19: n = 15432, mean = 64686 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61696, 63360, 64064, 64512, 68992, 80913, 8612159, 12025856 ns/op
# Warmup Iteration  20: n = 15568, mean = 64120 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61760, 63296, 64064, 64512, 68992, 80512, 4850141, 5406720 ns/op
Iteration   1: n = 31163, mean = 64055 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61632, 63232, 63936, 64448, 68736, 80384, 3976826, 4243456 ns/op
Iteration   2: n = 30989, mean = 64422 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61504, 63296, 64064, 64512, 68864, 80769, 4380533, 7135232 ns/op
Iteration   3: n = 30624, mean = 65187 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61696, 63296, 64000, 64448, 68864, 81664, 5155840, 16105472 ns/op
Iteration   4: n = 30881, mean = 64645 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61568, 63232, 63936, 64384, 68736, 81152, 4909185, 13271040 ns/op
Iteration   5: n = 31133, mean = 64122 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61696, 63296, 64000, 64512, 68864, 79488, 4049678, 4251648 ns/op

# Run progress: 50.00% complete, ETA 00:02:39
# Fork: 6 of 10
# Warmup Iteration   1: n = 213, mean = 4820511 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 932864, 1269760, 16121856, 20348928, 36477993, 122028032, 122028032, 122028032 ns/op
# Warmup Iteration   2: n = 384, mean = 2703859 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 546816, 693760, 7938048, 16883712, 32825344, 46465024, 46465024, 46465024 ns/op
# Warmup Iteration   3: n = 387, mean = 2636394 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 454144, 484352, 660685, 28560589, 34755052, 44630016, 44630016, 44630016 ns/op
# Warmup Iteration   4: n = 451, mean = 2214926 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 301568, 435712, 571802, 25768755, 33191363, 40566784, 40566784, 40566784 ns/op
# Warmup Iteration   5: n = 946, mean = 1031822 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 197888, 240256, 313498, 469146, 28197847, 36700160, 36700160, 36700160 ns/op
# Warmup Iteration   6: n = 1456, mean = 692588 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 151296, 172672, 207104, 226138, 24243732, 46264091, 50397184, 50397184 ns/op
# Warmup Iteration   7: n = 1722, mean = 586042 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 149504, 162048, 169984, 182490, 24117576, 48340140, 65208320, 65208320 ns/op
# Warmup Iteration   8: n = 3054, mean = 325588 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 71424, 89088, 136448, 141312, 9605939, 34195374, 49938432, 49938432 ns/op
# Warmup Iteration   9: n = 8753, mean = 113628 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 62400, 64192, 70784, 72320, 82284, 20264649, 35651584, 35651584 ns/op
# Warmup Iteration  10: n = 13579, mean = 74010 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 62208, 64000, 65024, 66816, 70784, 248090, 16705028, 17039360 ns/op
# Warmup Iteration  11: n = 11727, mean = 84993 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 62976, 69376, 70272, 70912, 76160, 2928280, 30432874, 31752192 ns/op
# Warmup Iteration  12: n = 9282, mean = 108221 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 62464, 70144, 71936, 72960, 87936, 16105472, 24543232, 24543232 ns/op
# Warmup Iteration  13: n = 14837, mean = 67287 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60800, 62400, 63424, 64768, 70016, 81705, 16165736, 16252928 ns/op
# Warmup Iteration  14: n = 15711, mean = 63537 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60928, 62592, 63424, 63936, 68736, 81152, 5214202, 11780096 ns/op
# Warmup Iteration  15: n = 15690, mean = 63621 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60992, 62656, 63488, 64000, 68736, 80768, 6277737, 6356992 ns/op
# Warmup Iteration  16: n = 15513, mean = 64350 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60864, 62592, 63424, 64000, 68736, 80702, 8763538, 12255232 ns/op
# Warmup Iteration  17: n = 15757, mean = 63354 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60736, 62528, 63424, 64000, 68736, 80768, 4792764, 5505024 ns/op
# Warmup Iteration  18: n = 15772, mean = 63288 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60928, 62528, 63424, 64000, 68736, 80029, 4208580, 4300800 ns/op
# Warmup Iteration  19: n = 15728, mean = 63477 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60544, 62464, 63360, 63936, 68608, 80768, 4136791, 4202496 ns/op
# Warmup Iteration  20: n = 15744, mean = 63403 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60800, 62464, 63360, 64000, 68736, 80640, 3857211, 3866624 ns/op
Iteration   1: n = 31471, mean = 63441 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60672, 62464, 63360, 64000, 68736, 80580, 3484949, 3796992 ns/op
Iteration   2: n = 31470, mean = 63441 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60736, 62464, 63360, 64000, 68864, 80964, 4123705, 6610944 ns/op
Iteration   3: n = 30929, mean = 64552 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60672, 62464, 63360, 64000, 68736, 80896, 4298899, 16121856 ns/op
Iteration   4: n = 30922, mean = 64561 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60544, 62464, 63360, 64064, 68736, 81152, 3899141, 16105472 ns/op
Iteration   5: n = 31496, mean = 63386 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60544, 62464, 63360, 63936, 68608, 80768, 4590856, 4866048 ns/op

# Run progress: 60.00% complete, ETA 00:02:07
# Fork: 7 of 10
# Warmup Iteration   1: n = 176, mean = 5815756 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 977920, 1344512, 14866842, 20422656, 86408561, 215744512, 215744512, 215744512 ns/op
# Warmup Iteration   2: n = 327, mean = 3163916 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 631808, 724992, 11688346, 23094886, 32791593, 72876032, 72876032, 72876032 ns/op
# Warmup Iteration   3: n = 353, mean = 2847216 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 476672, 543744, 792576, 28173926, 43072881, 52756480, 52756480, 52756480 ns/op
# Warmup Iteration   4: n = 407, mean = 2396282 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 407040, 462848, 635290, 26660045, 36390830, 36634624, 36634624, 36634624 ns/op
# Warmup Iteration   5: n = 585, mean = 1752706 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 287744, 334336, 489882, 8839168, 33243791, 56885248, 56885248, 56885248 ns/op
# Warmup Iteration   6: n = 775, mean = 1287953 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 226304, 255232, 305869, 605184, 32284344, 46792704, 46792704, 46792704 ns/op
# Warmup Iteration   7: n = 944, mean = 1063111 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 152832, 201728, 231168, 318336, 32246989, 40370176, 40370176, 40370176 ns/op
# Warmup Iteration   8: n = 1346, mean = 740727 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 145664, 158208, 168781, 222118, 24215552, 40099971, 40304640, 40304640 ns/op
# Warmup Iteration   9: n = 1719, mean = 589942 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 100992, 133632, 165120, 173312, 22229811, 34547958, 40304640, 40304640 ns/op
# Warmup Iteration  10: n = 2993, mean = 340508 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 82816, 90496, 103680, 107264, 11294474, 28213117, 40632320, 40632320 ns/op
# Warmup Iteration  11: n = 3802, mean = 264434 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 63936, 75520, 83200, 85760, 403528, 32371835, 40173568, 40173568 ns/op
# Warmup Iteration  12: n = 9203, mean = 107999 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 63232, 64960, 74496, 75648, 81403, 18241290, 28114944, 28114944 ns/op
# Warmup Iteration  13: n = 12604, mean = 76751 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 63232, 65216, 70144, 70528, 76410, 625613, 22034448, 24117248 ns/op
# Warmup Iteration  14: n = 12033, mean = 80666 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 63168, 69632, 71936, 72960, 77056, 636023, 16167675, 16171008 ns/op
# Warmup Iteration  15: n = 11511, mean = 82195 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61824, 64000, 71424, 71808, 76544, 9453437, 16089088, 16089088 ns/op
# Warmup Iteration  16: n = 15430, mean = 64714 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61824, 63232, 63936, 64320, 69248, 81408, 9696019, 11337728 ns/op
# Warmup Iteration  17: n = 15543, mean = 64241 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61696, 63232, 64000, 64448, 69120, 81024, 6264291, 6332416 ns/op
# Warmup Iteration  18: n = 15557, mean = 64182 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61632, 63232, 63936, 64512, 69174, 81081, 5895497, 5922816 ns/op
# Warmup Iteration  19: n = 15454, mean = 64610 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61760, 63232, 63936, 64448, 69376, 81792, 8791982, 12009472 ns/op
# Warmup Iteration  20: n = 15550, mean = 64212 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61632, 63168, 63936, 64512, 69120, 81139, 4388237, 4456448 ns/op
Iteration   1: n = 31125, mean = 64156 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61440, 63168, 63936, 64512, 69120, 81520, 3981202, 4259840 ns/op
Iteration   2: n = 31036, mean = 64343 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61632, 63232, 63936, 64576, 69120, 81024, 4273919, 7151616 ns/op
Iteration   3: n = 29441, mean = 67830 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61696, 63232, 64000, 64576, 69248, 82304, 16106386, 20119552 ns/op
Iteration   4: n = 31074, mean = 64259 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61632, 63232, 64000, 64576, 69248, 81142, 4036721, 6135808 ns/op
Iteration   5: n = 30889, mean = 64643 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61632, 63296, 64000, 64576, 69248, 81550, 3999605, 12271616 ns/op

# Run progress: 70.00% complete, ETA 00:01:35
# Fork: 8 of 10
# Warmup Iteration   1: n = 208, mean = 4845465 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 871424, 1310720, 16066150, 19998310, 36637245, 127139840, 127139840, 127139840 ns/op
# Warmup Iteration   2: n = 338, mean = 2960526 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 572416, 708096, 10313728, 20715930, 35946496, 42598400, 42598400, 42598400 ns/op
# Warmup Iteration   3: n = 368, mean = 2715826 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 455680, 524288, 709018, 27700429, 33603256, 64552960, 64552960, 64552960 ns/op
# Warmup Iteration   4: n = 449, mean = 2285098 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 361984, 445952, 570368, 28262400, 36536320, 36765696, 36765696, 36765696 ns/op
# Warmup Iteration   5: n = 695, mean = 1469549 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 253184, 286208, 386048, 9394586, 28584182, 36569088, 36569088, 36569088 ns/op
# Warmup Iteration   6: n = 981, mean = 998980 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 163840, 223488, 251597, 405504, 28257812, 36044800, 36044800, 36044800 ns/op
# Warmup Iteration   7: n = 1839, mean = 552510 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 139520, 152064, 164608, 186624, 18454938, 28636611, 28966912, 28966912 ns/op
# Warmup Iteration   8: n = 1506, mean = 662046 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 96896, 129280, 160256, 167846, 24182784, 40395145, 40960000, 40960000 ns/op
# Warmup Iteration   9: n = 3943, mean = 252299 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 64512, 84480, 99021, 100992, 3034972, 30669275, 36110336, 36110336 ns/op
# Warmup Iteration  10: n = 12735, mean = 77913 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61760, 63488, 64384, 65152, 70226, 1255686, 41825285, 46989312 ns/op
# Warmup Iteration  11: n = 12455, mean = 75562 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61952, 64000, 69376, 70656, 75264, 1482285, 21841917, 22413312 ns/op
# Warmup Iteration  12: n = 11556, mean = 85418 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 62528, 68352, 71552, 72704, 80147, 8563483, 22925147, 24182784 ns/op
# Warmup Iteration  13: n = 9941, mean = 98378 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60928, 69376, 72064, 72448, 77824, 16073654, 25427968, 25427968 ns/op
# Warmup Iteration  14: n = 15337, mean = 65077 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60800, 62144, 62784, 63168, 67968, 81109, 15632967, 20119552 ns/op
# Warmup Iteration  15: n = 15735, mean = 63432 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60608, 62080, 62720, 63104, 67840, 79906, 8891171, 12156928 ns/op
# Warmup Iteration  16: n = 15089, mean = 66158 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60864, 62144, 62848, 63296, 67840, 80756, 18051957, 20086784 ns/op
# Warmup Iteration  17: n = 15715, mean = 63509 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60672, 62144, 62848, 63232, 67968, 79213, 8612191, 12320768 ns/op
# Warmup Iteration  18: n = 15886, mean = 62829 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60672, 62016, 62656, 63104, 68096, 80142, 4840556, 5390336 ns/op
# Warmup Iteration  19: n = 15827, mean = 63067 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60672, 62080, 62720, 63168, 67840, 79364, 4294017, 4341760 ns/op
# Warmup Iteration  20: n = 15839, mean = 63018 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60480, 62080, 62720, 63232, 67840, 80256, 4092527, 4145152 ns/op
Iteration   1: n = 31684, mean = 63000 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60736, 62080, 62784, 63280, 67840, 79488, 3856361, 3915776 ns/op
Iteration   2: n = 31714, mean = 62939 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60288, 62016, 62720, 63232, 67968, 77988, 4230801, 6823936 ns/op
Iteration   3: n = 31337, mean = 63698 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60544, 62080, 62720, 63232, 67968, 78549, 4389182, 14204928 ns/op
Iteration   4: n = 31577, mean = 63213 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60544, 62080, 62784, 63296, 67968, 78444, 3848090, 6356992 ns/op
Iteration   5: n = 31719, mean = 62924 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 60480, 62016, 62720, 63168, 67840, 78244, 4420600, 4685824 ns/op

# Run progress: 80.00% complete, ETA 00:01:03
# Fork: 9 of 10
# Warmup Iteration   1: n = 209, mean = 4775309 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 915456, 1290240, 14598144, 18743296, 34353971, 130547712, 130547712, 130547712 ns/op
# Warmup Iteration   2: n = 326, mean = 3067072 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 601088, 695296, 10367795, 20660224, 36464886, 50266112, 50266112, 50266112 ns/op
# Warmup Iteration   3: n = 367, mean = 2736249 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 472064, 531456, 6083379, 24425267, 32799457, 44695552, 44695552, 44695552 ns/op
# Warmup Iteration   4: n = 450, mean = 2291791 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 367104, 439808, 585011, 25221530, 32734577, 52363264, 52363264, 52363264 ns/op
# Warmup Iteration   5: n = 697, mean = 1441828 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 248576, 300544, 391373, 9746842, 28653650, 36503552, 36503552, 36503552 ns/op
# Warmup Iteration   6: n = 924, mean = 1057601 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 164096, 237312, 257280, 421632, 27803648, 45875200, 45875200, 45875200 ns/op
# Warmup Iteration   7: n = 1865, mean = 538422 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 140288, 152832, 165376, 180070, 20035666, 29370089, 36634624, 36634624 ns/op
# Warmup Iteration   8: n = 1492, mean = 686557 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 114688, 148480, 160512, 171290, 24283382, 36475994, 40304640, 40304640 ns/op
# Warmup Iteration   9: n = 2854, mean = 354736 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 90368, 95360, 102272, 115968, 11648205, 28764897, 32243712, 32243712 ns/op
# Warmup Iteration  10: n = 4366, mean = 232670 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 62400, 67968, 87424, 89472, 1183273, 24150016, 39583744, 39583744 ns/op
# Warmup Iteration  11: n = 10657, mean = 93263 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 62336, 63808, 64512, 65344, 70144, 16072704, 27857938, 28082176 ns/op
# Warmup Iteration  12: n = 9969, mean = 99855 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 62528, 64256, 70272, 71936, 111616, 14436270, 25395200, 25395200 ns/op
# Warmup Iteration  13: n = 12806, mean = 78794 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 62592, 67584, 69504, 71552, 74112, 464647, 21407279, 21692416 ns/op
# Warmup Iteration  14: n = 10849, mean = 90343 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61632, 67840, 70784, 71296, 77120, 14356480, 25387827, 26181632 ns/op
# Warmup Iteration  15: n = 15309, mean = 65214 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61184, 62784, 63424, 63872, 68352, 79192, 12814795, 14876672 ns/op
# Warmup Iteration  16: n = 15472, mean = 64522 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61248, 62848, 63488, 63936, 68352, 79616, 8571087, 11436032 ns/op
# Warmup Iteration  17: n = 15679, mean = 63672 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61184, 62784, 63424, 63936, 68352, 78889, 5654905, 5668864 ns/op
# Warmup Iteration  18: n = 15573, mean = 64109 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61376, 62784, 63424, 63936, 68480, 79159, 8480327, 11845632 ns/op
# Warmup Iteration  19: n = 15659, mean = 63752 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61312, 62784, 63424, 63936, 68480, 79447, 4165091, 4169728 ns/op
# Warmup Iteration  20: n = 15663, mean = 63736 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61440, 62784, 63488, 64000, 68480, 79403, 4018609, 4067328 ns/op
Iteration   1: n = 31348, mean = 63689 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61376, 62784, 63488, 64000, 68352, 79104, 3742639, 3821568 ns/op
Iteration   2: n = 31357, mean = 63671 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61184, 62784, 63424, 63936, 68352, 79104, 4763699, 7446528 ns/op
Iteration   3: n = 31010, mean = 64386 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61184, 62784, 63424, 63936, 68224, 78976, 4308164, 19595264 ns/op
Iteration   4: n = 30862, mean = 64691 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61312, 62848, 63488, 64000, 68352, 79104, 4080531, 16072704 ns/op
Iteration   5: n = 31123, mean = 64145 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61376, 62784, 63424, 64115, 68352, 79856, 3410857, 13778944 ns/op

# Run progress: 90.00% complete, ETA 00:00:31
# Fork: 10 of 10
# Warmup Iteration   1: n = 202, mean = 4935056 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 896000, 1258496, 15958016, 18916966, 34070528, 139460608, 139460608, 139460608 ns/op
# Warmup Iteration   2: n = 341, mean = 2931280 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 593920, 699392, 10502144, 20650394, 35100426, 54525952, 54525952, 54525952 ns/op
# Warmup Iteration   3: n = 373, mean = 2711236 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 416256, 531456, 769229, 23429120, 37473485, 48627712, 48627712, 48627712 ns/op
# Warmup Iteration   4: n = 503, mean = 1985688 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 299520, 386560, 517530, 13746176, 32701153, 36634624, 36634624, 36634624 ns/op
# Warmup Iteration   5: n = 731, mean = 1374683 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 217344, 269824, 353382, 6030950, 32098222, 40304640, 40304640, 40304640 ns/op
# Warmup Iteration   6: n = 908, mean = 1111747 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 177920, 209280, 226842, 335309, 32306299, 69861376, 69861376, 69861376 ns/op
# Warmup Iteration   7: n = 1177, mean = 855729 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 148736, 171776, 184832, 231962, 31271158, 36295279, 36306944, 36306944 ns/op
# Warmup Iteration   8: n = 1302, mean = 766035 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 141568, 162304, 173824, 190938, 26550272, 38529401, 40435712, 40435712 ns/op
# Warmup Iteration   9: n = 2104, mean = 481426 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 76160, 93056, 125440, 128448, 20557005, 54828073, 72876032, 72876032 ns/op
# Warmup Iteration  10: n = 5914, mean = 164920 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 63168, 65408, 75648, 77696, 104608, 29100769, 44433408, 44433408 ns/op
# Warmup Iteration  11: n = 14139, mean = 68908 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 63040, 64512, 65216, 65664, 70784, 248760, 15469019, 16072704 ns/op
# Warmup Iteration  12: n = 12067, mean = 82460 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 63360, 69376, 70272, 70912, 76032, 2327900, 39658442, 44761088 ns/op
# Warmup Iteration  13: n = 9739, mean = 102342 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 63488, 69888, 71808, 72832, 86221, 16105472, 25624576, 25624576 ns/op
# Warmup Iteration  14: n = 14125, mean = 70619 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61888, 63232, 69248, 69632, 70784, 99018, 24717132, 25460736 ns/op
# Warmup Iteration  15: n = 15379, mean = 64907 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61824, 63232, 63872, 64256, 68992, 80512, 11623825, 11632640 ns/op
# Warmup Iteration  16: n = 14876, mean = 67105 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61568, 63168, 63808, 64256, 68992, 80912, 16081098, 16089088 ns/op
# Warmup Iteration  17: n = 15547, mean = 64201 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61696, 63296, 63936, 64320, 68992, 80768, 5785459, 5849088 ns/op
# Warmup Iteration  18: n = 15456, mean = 64586 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61952, 63296, 63936, 64320, 69120, 80640, 8452640, 11796480 ns/op
# Warmup Iteration  19: n = 15531, mean = 64268 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61760, 63296, 63936, 64384, 68992, 81016, 4226200, 4235264 ns/op
# Warmup Iteration  20: n = 15537, mean = 64242 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61888, 63296, 63936, 64384, 69120, 80493, 4082014, 4120576 ns/op
Iteration   1: n = 31128, mean = 64130 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61312, 63232, 63872, 64384, 68864, 80128, 3771029, 3784704 ns/op
Iteration   2: n = 31030, mean = 64333 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61824, 63296, 63936, 64384, 69120, 80640, 4469028, 6774784 ns/op
Iteration   3: n = 30788, mean = 64839 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61824, 63296, 63936, 64384, 68992, 80923, 4136314, 16089088 ns/op
Iteration   4: n = 31097, mean = 64196 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61824, 63296, 63936, 64384, 69120, 80627, 3704631, 3817472 ns/op
Iteration   5: n = 31000, mean = 64397 ns/op, p{0.00, 0.50, 0.90, 0.95, 0.99, 0.999, 0.9999, 1.00} = 61632, 63296, 63936, 64448, 68992, 81152, 4155763, 5578752 ns/op


Result "snakeYaml":
  64285.572 ±(99.9%) 251.093 ns/op [Average]
  (min, avg, max) = (60032.000, 64285.572, 24117248.000), stdev = 95086.300
  CI (99.9%): [64034.479, 64536.665] (assumes normal distribution)
  Samples, N = 1552739
        mean =  64285.572 ±(99.9%) 251.093 ns/op
         min =  60032.000 ns/op
  p( 0.0000) =  60032.000 ns/op
  p(50.0000) =  62976.000 ns/op
  p(90.0000) =  64576.000 ns/op
  p(95.0000) =  65024.000 ns/op
  p(99.0000) =  68864.000 ns/op
  p(99.9000) =  80256.000 ns/op
  p(99.9900) = 4067328.000 ns/op
  p(99.9990) = 16089088.000 ns/op
  p(99.9999) = 21907561.512 ns/op
         max = 24117248.000 ns/op


# Run complete. Total time: 00:05:18

Benchmark                   Mode      Cnt      Score     Error  Units
ComparisonMain.snakeYaml  sample  1552739  64285.572 ± 251.093  ns/op
