RAxML-NG v. 1.0.2 released on 22.02.2021 by The Exelixis Lab.
Developed by: Alexey M. Kozlov and Alexandros Stamatakis.
Contributors: Diego Darriba, Tomas Flouri, Benoit Morel, Sarah Lutteropp, Ben Bettisworth.
Latest version: https://github.com/amkozlov/raxml-ng
Questions/problems/suggestions? Please visit: https://groups.google.com/forum/#!forum/raxml

System: Intel(R) Xeon(R) Gold 6148 CPU @ 2.40GHz, 40 cores, 376 GB RAM

RAxML-NG was called at 13-Jul-2021 16:15:34 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q2M1K9/2_msa/Q2M1K9_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q2M1K9/3_mltree/Q2M1K9 --seed 2 --threads 9 --tree rand{20} pars{20}

Analysis options:
  run mode: ML tree search
  start tree(s): random (20)
  random seed: 2
  tip-inner: OFF
  pattern compression: ON
  per-rate scalers: OFF
  site repeats: ON
  fast spr radius: AUTO
  spr subtree cutoff: 1.000000
  branch lengths: proportional (ML estimate, algorithm: NR-FAST)
  SIMD kernels: AVX2
  parallelization: coarse-grained (auto), PTHREADS (9 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q2M1K9/2_msa/Q2M1K9_trimmed_msa.fasta
[00:00:00] Loaded alignment with 576 taxa and 1234 sites

WARNING: Sequences tr_G3QU76_G3QU76_GORGO_9595 and sp_Q5TEC3_ZN697_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2J8MX30_A0A2J8MX30_PANTR_9598 and sp_Q2M1K9_ZN423_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2J8MX30_A0A2J8MX30_PANTR_9598 and tr_A0A2R9BUW8_A0A2R9BUW8_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A1D5R109_A0A1D5R109_MACMU_9544 and tr_A0A2K5MA00_A0A2K5MA00_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F7GH11_F7GH11_MACMU_9544 and tr_A0A2I3MQB1_A0A2I3MQB1_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F7GH11_F7GH11_MACMU_9544 and tr_A0A2K5LTI6_A0A2K5LTI6_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F7GH11_F7GH11_MACMU_9544 and tr_A0A2K6DZJ6_A0A2K6DZJ6_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7GH11_F7GH11_MACMU_9544 and tr_A0A2K5YNE2_A0A2K5YNE2_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A096NYV3_A0A096NYV3_PAPAN_9555 and tr_A0A2K5KIJ5_A0A2K5KIJ5_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A096NYV3_A0A096NYV3_PAPAN_9555 and tr_A0A2K6C2M3_A0A2K6C2M3_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A0D9RYY7_A0A0D9RYY7_CHLSB_60711 and tr_A0A2K5ME56_A0A2K5ME56_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A0D9RYY7_A0A0D9RYY7_CHLSB_60711 and tr_A0A2K6ABU8_A0A2K6ABU8_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2D0QUH2_A0A2D0QUH2_ICTPU_7998 and tr_A0A2D0QWE4_A0A2D0QWE4_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0R8A3_A0A2D0R8A3_ICTPU_7998 and tr_W6A3K5_W6A3K5_ICTPU_7998 are exactly identical!
WARNING: Duplicate sequences found: 14

NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) 
NOTE: was saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q2M1K9/3_mltree/Q2M1K9.raxml.reduced.phy

Alignment comprises 1 partitions and 1233 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 1234 / 1233
Gaps: 48.12 %
Invariant sites: 1.22 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q2M1K9/3_mltree/Q2M1K9.raxml.rba

Parallelization scheme autoconfig: 1 worker(s) x 9 thread(s)

Parallel reduction/worker buffer size: 1 KB  / 0 KB

[00:00:00] Generating 20 random starting tree(s) with 576 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 137 / 10960
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -562986.928730] Initial branch length optimization
[00:00:02 -426655.236865] Model parameter optimization (eps = 10.000000)
[00:01:28 -423002.828135] AUTODETECT spr round 1 (radius: 5)
[00:02:24 -301075.223915] AUTODETECT spr round 2 (radius: 10)
[00:03:27 -243947.565164] AUTODETECT spr round 3 (radius: 15)
[00:04:41 -206031.146809] AUTODETECT spr round 4 (radius: 20)
[00:06:06 -198033.427447] AUTODETECT spr round 5 (radius: 25)
[00:07:48 -190807.514558] SPR radius for FAST iterations: 25 (autodetect)
[00:07:48 -190807.514558] Model parameter optimization (eps = 3.000000)
[00:08:50 -188975.979562] FAST spr round 1 (radius: 25)
[00:10:18 -172591.841311] FAST spr round 2 (radius: 25)
[00:11:28 -171905.627700] FAST spr round 3 (radius: 25)
[00:12:28 -171836.348964] FAST spr round 4 (radius: 25)
[00:13:21 -171808.902195] FAST spr round 5 (radius: 25)
[00:14:10 -171805.397837] FAST spr round 6 (radius: 25)
[00:14:55 -171805.395744] Model parameter optimization (eps = 1.000000)
[00:15:04 -171803.731882] SLOW spr round 1 (radius: 5)
[00:16:15 -171752.606941] SLOW spr round 2 (radius: 5)
[00:17:24 -171752.452249] SLOW spr round 3 (radius: 5)
[00:18:31 -171752.450239] SLOW spr round 4 (radius: 10)
[00:19:42 -171741.348948] SLOW spr round 5 (radius: 5)
[00:21:07 -171732.089545] SLOW spr round 6 (radius: 5)
[00:22:19 -171732.087078] SLOW spr round 7 (radius: 10)
[00:23:32 -171732.086973] SLOW spr round 8 (radius: 15)
[00:25:33 -171728.699320] SLOW spr round 9 (radius: 5)
[00:26:57 -171728.585264] SLOW spr round 10 (radius: 5)
[00:28:12 -171728.585192] SLOW spr round 11 (radius: 10)
[00:29:29 -171723.444323] SLOW spr round 12 (radius: 5)
[00:30:50 -171719.539442] SLOW spr round 13 (radius: 5)
[00:32:02 -171719.538156] SLOW spr round 14 (radius: 10)
[00:33:15 -171719.538135] SLOW spr round 15 (radius: 15)
[00:35:19 -171719.526165] SLOW spr round 16 (radius: 20)
[00:38:33 -171719.526164] SLOW spr round 17 (radius: 25)
[00:42:08 -171719.526164] Model parameter optimization (eps = 0.100000)

[00:42:13] ML tree search #1, logLikelihood: -171719.229247

[00:42:13 -564895.678436] Initial branch length optimization
[00:42:15 -430054.078195] Model parameter optimization (eps = 10.000000)
[00:43:42 -427174.068807] AUTODETECT spr round 1 (radius: 5)
[00:44:38 -294419.846258] AUTODETECT spr round 2 (radius: 10)
[00:45:39 -236643.877469] AUTODETECT spr round 3 (radius: 15)
[00:46:53 -210541.360042] AUTODETECT spr round 4 (radius: 20)
[00:48:30 -190696.771766] AUTODETECT spr round 5 (radius: 25)
[00:50:17 -187473.151303] SPR radius for FAST iterations: 25 (autodetect)
[00:50:17 -187473.151303] Model parameter optimization (eps = 3.000000)
[00:51:16 -185998.852411] FAST spr round 1 (radius: 25)
[00:52:57 -172361.307518] FAST spr round 2 (radius: 25)
[00:54:06 -171898.094965] FAST spr round 3 (radius: 25)
[00:55:06 -171849.738165] FAST spr round 4 (radius: 25)
[00:55:58 -171841.144018] FAST spr round 5 (radius: 25)
[00:56:47 -171836.235048] FAST spr round 6 (radius: 25)
[00:57:33 -171835.061980] FAST spr round 7 (radius: 25)
[00:58:18 -171835.061718] Model parameter optimization (eps = 1.000000)
[00:58:29 -171829.734092] SLOW spr round 1 (radius: 5)
[00:59:40 -171782.574283] SLOW spr round 2 (radius: 5)
[01:00:51 -171771.556469] SLOW spr round 3 (radius: 5)
[01:01:59 -171770.803848] SLOW spr round 4 (radius: 5)
[01:03:06 -171770.500800] SLOW spr round 5 (radius: 5)
[01:04:13 -171770.500741] SLOW spr round 6 (radius: 10)
[01:05:22 -171770.500730] SLOW spr round 7 (radius: 15)
[01:07:26 -171770.484248] SLOW spr round 8 (radius: 20)
[01:11:05 -171762.632906] SLOW spr round 9 (radius: 5)
[01:12:34 -171760.888108] SLOW spr round 10 (radius: 5)
[01:13:52 -171759.783380] SLOW spr round 11 (radius: 5)
[01:15:03 -171759.783161] SLOW spr round 12 (radius: 10)
[01:16:17 -171759.783148] SLOW spr round 13 (radius: 15)
[01:18:17 -171759.783143] SLOW spr round 14 (radius: 20)
[01:22:01 -171755.248738] SLOW spr round 15 (radius: 5)
[01:23:29 -171750.690907] SLOW spr round 16 (radius: 5)
[01:24:48 -171746.578318] SLOW spr round 17 (radius: 5)
[01:26:03 -171739.242588] SLOW spr round 18 (radius: 5)
[01:27:12 -171735.660814] SLOW spr round 19 (radius: 5)
[01:28:20 -171735.549655] SLOW spr round 20 (radius: 5)
[01:29:27 -171735.549573] SLOW spr round 21 (radius: 10)
[01:30:37 -171735.549541] SLOW spr round 22 (radius: 15)
[01:32:46 -171735.549528] SLOW spr round 23 (radius: 20)
[01:36:08 -171735.549523] SLOW spr round 24 (radius: 25)
[01:39:42 -171735.549521] Model parameter optimization (eps = 0.100000)

[01:39:52] ML tree search #2, logLikelihood: -171735.201018

[01:39:52 -566290.278060] Initial branch length optimization
[01:39:54 -428429.874573] Model parameter optimization (eps = 10.000000)
[01:41:17 -424832.448833] AUTODETECT spr round 1 (radius: 5)
[01:42:13 -303937.139728] AUTODETECT spr round 2 (radius: 10)
[01:43:18 -234675.827911] AUTODETECT spr round 3 (radius: 15)
[01:44:29 -209769.833887] AUTODETECT spr round 4 (radius: 20)
[01:46:06 -188899.178832] AUTODETECT spr round 5 (radius: 25)
[01:47:46 -186272.610811] SPR radius for FAST iterations: 25 (autodetect)
[01:47:46 -186272.610811] Model parameter optimization (eps = 3.000000)
[01:48:41 -184551.554094] FAST spr round 1 (radius: 25)
[01:50:13 -172573.360219] FAST spr round 2 (radius: 25)
[01:51:28 -171957.174954] FAST spr round 3 (radius: 25)
[01:52:32 -171866.992625] FAST spr round 4 (radius: 25)
[01:53:28 -171840.932841] FAST spr round 5 (radius: 25)
[01:54:16 -171839.533761] FAST spr round 6 (radius: 25)
[01:55:02 -171839.533536] Model parameter optimization (eps = 1.000000)
[01:55:14 -171836.096497] SLOW spr round 1 (radius: 5)
[01:56:28 -171772.780817] SLOW spr round 2 (radius: 5)
[01:57:41 -171764.407499] SLOW spr round 3 (radius: 5)
[01:58:51 -171761.372075] SLOW spr round 4 (radius: 5)
[01:59:58 -171761.369059] SLOW spr round 5 (radius: 10)
[02:01:10 -171748.346778] SLOW spr round 6 (radius: 5)
[02:02:32 -171745.095766] SLOW spr round 7 (radius: 5)
[02:03:44 -171744.963847] SLOW spr round 8 (radius: 5)
[02:04:54 -171744.963509] SLOW spr round 9 (radius: 10)
[02:06:05 -171744.048383] SLOW spr round 10 (radius: 5)
[02:07:27 -171743.338931] SLOW spr round 11 (radius: 5)
[02:08:40 -171743.338336] SLOW spr round 12 (radius: 10)
[02:09:54 -171742.723709] SLOW spr round 13 (radius: 5)
[02:11:17 -171737.472640] SLOW spr round 14 (radius: 5)
[02:12:30 -171736.156626] SLOW spr round 15 (radius: 5)
[02:13:39 -171736.155108] SLOW spr round 16 (radius: 10)
[02:14:50 -171736.154603] SLOW spr round 17 (radius: 15)
[02:17:09 -171736.154387] SLOW spr round 18 (radius: 20)
[02:20:43 -171736.142805] SLOW spr round 19 (radius: 25)
[02:24:44 -171736.142339] Model parameter optimization (eps = 0.100000)

[02:24:51] ML tree search #3, logLikelihood: -171735.964458

[02:24:51 -564369.125454] Initial branch length optimization
[02:24:53 -425877.531801] Model parameter optimization (eps = 10.000000)
[02:26:32 -422127.212875] AUTODETECT spr round 1 (radius: 5)
[02:27:29 -302002.883906] AUTODETECT spr round 2 (radius: 10)
[02:28:30 -245221.484470] AUTODETECT spr round 3 (radius: 15)
[02:29:44 -210948.311298] AUTODETECT spr round 4 (radius: 20)
[02:31:22 -200837.307031] AUTODETECT spr round 5 (radius: 25)
[02:33:45 -193716.145112] SPR radius for FAST iterations: 25 (autodetect)
[02:33:45 -193716.145112] Model parameter optimization (eps = 3.000000)
[02:34:53 -192027.231334] FAST spr round 1 (radius: 25)
[02:36:25 -172865.337735] FAST spr round 2 (radius: 25)
[02:37:32 -171889.811325] FAST spr round 3 (radius: 25)
[02:38:32 -171809.475382] FAST spr round 4 (radius: 25)
[02:39:22 -171805.697187] FAST spr round 5 (radius: 25)
[02:40:10 -171802.785723] FAST spr round 6 (radius: 25)
[02:40:56 -171802.784248] Model parameter optimization (eps = 1.000000)
[02:41:10 -171796.581319] SLOW spr round 1 (radius: 5)
[02:42:22 -171758.793170] SLOW spr round 2 (radius: 5)
[02:43:33 -171749.700164] SLOW spr round 3 (radius: 5)
[02:44:41 -171749.569690] SLOW spr round 4 (radius: 5)
[02:45:48 -171749.568087] SLOW spr round 5 (radius: 10)
[02:46:59 -171744.095876] SLOW spr round 6 (radius: 5)
[02:48:23 -171742.370687] SLOW spr round 7 (radius: 5)
[02:49:38 -171742.249640] SLOW spr round 8 (radius: 5)
[02:50:47 -171742.249502] SLOW spr round 9 (radius: 10)
[02:52:00 -171739.879015] SLOW spr round 10 (radius: 5)
[02:53:22 -171735.252458] SLOW spr round 11 (radius: 5)
[02:54:36 -171734.626597] SLOW spr round 12 (radius: 5)
[02:55:47 -171733.548642] SLOW spr round 13 (radius: 5)
[02:56:54 -171733.547327] SLOW spr round 14 (radius: 10)
[02:58:04 -171729.316444] SLOW spr round 15 (radius: 5)
[02:59:30 -171720.809712] SLOW spr round 16 (radius: 5)
[03:00:44 -171718.659953] SLOW spr round 17 (radius: 5)
[03:01:53 -171718.659055] SLOW spr round 18 (radius: 10)
[03:03:05 -171716.390294] SLOW spr round 19 (radius: 5)
[03:04:27 -171715.260260] SLOW spr round 20 (radius: 5)
[03:05:40 -171715.259006] SLOW spr round 21 (radius: 10)
[03:06:55 -171709.697624] SLOW spr round 22 (radius: 5)
[03:08:15 -171709.697105] SLOW spr round 23 (radius: 10)
[03:09:38 -171709.697079] SLOW spr round 24 (radius: 15)
[03:11:33 -171700.230496] SLOW spr round 25 (radius: 5)
[03:12:59 -171699.109179] SLOW spr round 26 (radius: 5)
[03:14:15 -171699.108930] SLOW spr round 27 (radius: 10)
[03:15:33 -171698.128063] SLOW spr round 28 (radius: 5)
[03:16:54 -171698.127620] SLOW spr round 29 (radius: 10)
[03:18:18 -171698.058985] SLOW spr round 30 (radius: 15)
[03:20:14 -171698.057813] SLOW spr round 31 (radius: 20)
[03:23:41 -171698.057656] SLOW spr round 32 (radius: 25)
[03:27:36 -171689.622781] SLOW spr round 33 (radius: 5)
[03:29:05 -171689.424790] SLOW spr round 34 (radius: 5)
[03:30:23 -171689.424786] SLOW spr round 35 (radius: 10)
[03:31:44 -171689.424784] SLOW spr round 36 (radius: 15)
[03:33:40 -171689.424782] SLOW spr round 37 (radius: 20)
[03:37:06 -171689.424781] SLOW spr round 38 (radius: 25)
[03:40:59 -171689.424781] Model parameter optimization (eps = 0.100000)

[03:41:06] ML tree search #4, logLikelihood: -171689.011470

[03:41:06 -556673.969961] Initial branch length optimization
[03:41:08 -421750.115861] Model parameter optimization (eps = 10.000000)
[03:42:40 -417988.718366] AUTODETECT spr round 1 (radius: 5)
[03:43:36 -300216.786598] AUTODETECT spr round 2 (radius: 10)
[03:44:38 -241878.290726] AUTODETECT spr round 3 (radius: 15)
[03:45:52 -206756.202061] AUTODETECT spr round 4 (radius: 20)
[03:47:14 -197842.193923] AUTODETECT spr round 5 (radius: 25)
[03:49:05 -191613.751229] SPR radius for FAST iterations: 25 (autodetect)
[03:49:05 -191613.751229] Model parameter optimization (eps = 3.000000)
[03:49:54 -189855.437714] FAST spr round 1 (radius: 25)
[03:51:29 -172975.185625] FAST spr round 2 (radius: 25)
[03:52:36 -172039.768509] FAST spr round 3 (radius: 25)
[03:53:36 -171882.583663] FAST spr round 4 (radius: 25)
[03:54:30 -171859.145955] FAST spr round 5 (radius: 25)
[03:55:20 -171853.148548] FAST spr round 6 (radius: 25)
[03:56:08 -171849.200530] FAST spr round 7 (radius: 25)
[03:56:54 -171848.442101] FAST spr round 8 (radius: 25)
[03:57:40 -171848.054709] FAST spr round 9 (radius: 25)
[03:58:24 -171848.054417] Model parameter optimization (eps = 1.000000)
[03:58:37 -171821.805395] SLOW spr round 1 (radius: 5)
[03:59:48 -171764.197814] SLOW spr round 2 (radius: 5)
[04:01:00 -171752.515284] SLOW spr round 3 (radius: 5)
[04:02:11 -171737.660232] SLOW spr round 4 (radius: 5)
[04:03:18 -171736.945891] SLOW spr round 5 (radius: 5)
[04:04:25 -171736.384039] SLOW spr round 6 (radius: 5)
[04:05:31 -171736.383114] SLOW spr round 7 (radius: 10)
[04:06:42 -171735.383529] SLOW spr round 8 (radius: 5)
[04:08:03 -171730.524879] SLOW spr round 9 (radius: 5)
[04:09:16 -171730.523245] SLOW spr round 10 (radius: 10)
[04:10:31 -171730.521643] SLOW spr round 11 (radius: 15)
[04:12:38 -171726.311708] SLOW spr round 12 (radius: 5)
[04:14:02 -171726.164950] SLOW spr round 13 (radius: 5)
[04:15:17 -171726.163298] SLOW spr round 14 (radius: 10)
[04:16:37 -171725.915221] SLOW spr round 15 (radius: 5)
[04:17:56 -171725.914830] SLOW spr round 16 (radius: 10)
[04:19:21 -171725.914806] SLOW spr round 17 (radius: 15)
[04:21:22 -171725.914793] SLOW spr round 18 (radius: 20)
[04:25:07 -171725.914782] SLOW spr round 19 (radius: 25)
[04:29:15 -171725.914771] Model parameter optimization (eps = 0.100000)

[04:29:25] ML tree search #5, logLikelihood: -171724.852447

[04:29:25 -559499.331570] Initial branch length optimization
[04:29:28 -421192.215928] Model parameter optimization (eps = 10.000000)
[04:31:03 -417469.838459] AUTODETECT spr round 1 (radius: 5)
[04:31:59 -297069.672804] AUTODETECT spr round 2 (radius: 10)
[04:33:01 -231466.834014] AUTODETECT spr round 3 (radius: 15)
[04:34:15 -200875.711222] AUTODETECT spr round 4 (radius: 20)
[04:35:44 -188010.870539] AUTODETECT spr round 5 (radius: 25)
[04:37:52 -187074.648493] SPR radius for FAST iterations: 25 (autodetect)
[04:37:52 -187074.648493] Model parameter optimization (eps = 3.000000)
[04:38:43 -185225.203535] FAST spr round 1 (radius: 25)
[04:40:16 -172734.880338] FAST spr round 2 (radius: 25)
[04:41:27 -172013.869600] FAST spr round 3 (radius: 25)
[04:42:27 -171848.441896] FAST spr round 4 (radius: 25)
[04:43:22 -171815.755277] FAST spr round 5 (radius: 25)
[04:44:12 -171807.464805] FAST spr round 6 (radius: 25)
[04:44:58 -171804.506259] FAST spr round 7 (radius: 25)
[04:45:43 -171804.506236] Model parameter optimization (eps = 1.000000)
[04:45:52 -171800.564317] SLOW spr round 1 (radius: 5)
[04:47:02 -171754.559662] SLOW spr round 2 (radius: 5)
[04:48:11 -171750.544621] SLOW spr round 3 (radius: 5)
[04:49:19 -171744.181824] SLOW spr round 4 (radius: 5)
[04:50:25 -171744.181582] SLOW spr round 5 (radius: 10)
[04:51:35 -171741.730139] SLOW spr round 6 (radius: 5)
[04:52:57 -171740.105034] SLOW spr round 7 (radius: 5)
[04:54:09 -171740.104181] SLOW spr round 8 (radius: 10)
[04:55:23 -171740.104118] SLOW spr round 9 (radius: 15)
[04:57:24 -171739.749689] SLOW spr round 10 (radius: 5)
[04:58:48 -171737.355546] SLOW spr round 11 (radius: 5)
[05:00:03 -171737.355242] SLOW spr round 12 (radius: 10)
[05:01:20 -171737.355238] SLOW spr round 13 (radius: 15)
[05:03:19 -171737.355238] SLOW spr round 14 (radius: 20)
[05:06:35 -171737.355238] SLOW spr round 15 (radius: 25)
[05:10:19 -171737.355238] Model parameter optimization (eps = 0.100000)

[05:10:23] ML tree search #6, logLikelihood: -171737.292005

[05:10:23 -559805.766764] Initial branch length optimization
[05:10:25 -419627.031617] Model parameter optimization (eps = 10.000000)
[05:11:44 -416235.736937] AUTODETECT spr round 1 (radius: 5)
[05:12:41 -295426.545649] AUTODETECT spr round 2 (radius: 10)
[05:13:45 -228978.483944] AUTODETECT spr round 3 (radius: 15)
[05:15:03 -198886.686767] AUTODETECT spr round 4 (radius: 20)
[05:16:32 -187100.307788] AUTODETECT spr round 5 (radius: 25)
[05:18:39 -185366.435503] SPR radius for FAST iterations: 25 (autodetect)
[05:18:39 -185366.435503] Model parameter optimization (eps = 3.000000)
[05:19:40 -183669.438448] FAST spr round 1 (radius: 25)
[05:21:15 -172342.474667] FAST spr round 2 (radius: 25)
[05:22:30 -171931.949321] FAST spr round 3 (radius: 25)
[05:23:31 -171845.181036] FAST spr round 4 (radius: 25)
[05:24:23 -171830.201127] FAST spr round 5 (radius: 25)
[05:25:11 -171826.888764] FAST spr round 6 (radius: 25)
[05:25:58 -171820.063650] FAST spr round 7 (radius: 25)
[05:26:44 -171817.671460] FAST spr round 8 (radius: 25)
[05:27:29 -171814.275103] FAST spr round 9 (radius: 25)
[05:28:12 -171814.273887] Model parameter optimization (eps = 1.000000)
[05:28:22 -171810.325335] SLOW spr round 1 (radius: 5)
[05:29:36 -171776.504303] SLOW spr round 2 (radius: 5)
[05:30:46 -171770.701804] SLOW spr round 3 (radius: 5)
[05:31:51 -171770.698447] SLOW spr round 4 (radius: 10)
[05:33:02 -171766.874612] SLOW spr round 5 (radius: 5)
[05:34:25 -171763.206799] SLOW spr round 6 (radius: 5)
[05:35:38 -171759.889028] SLOW spr round 7 (radius: 5)
[05:36:47 -171759.888501] SLOW spr round 8 (radius: 10)
[05:37:59 -171756.254060] SLOW spr round 9 (radius: 5)
[05:39:23 -171754.145643] SLOW spr round 10 (radius: 5)
[05:40:35 -171754.142855] SLOW spr round 11 (radius: 10)
[05:41:49 -171754.007631] SLOW spr round 12 (radius: 5)
[05:43:09 -171751.193069] SLOW spr round 13 (radius: 5)
[05:44:21 -171751.192756] SLOW spr round 14 (radius: 10)
[05:45:35 -171751.192748] SLOW spr round 15 (radius: 15)
[05:47:44 -171751.192748] SLOW spr round 16 (radius: 20)
[05:51:15 -171751.192748] SLOW spr round 17 (radius: 25)
[05:55:15 -171742.761946] SLOW spr round 18 (radius: 5)
[05:56:42 -171742.564850] SLOW spr round 19 (radius: 5)
[05:58:00 -171742.564850] SLOW spr round 20 (radius: 10)
[05:59:18 -171742.564850] SLOW spr round 21 (radius: 15)
[06:01:23 -171742.564850] SLOW spr round 22 (radius: 20)
[06:04:55 -171742.564850] SLOW spr round 23 (radius: 25)
[06:08:54 -171742.564850] Model parameter optimization (eps = 0.100000)

[06:08:59] ML tree search #7, logLikelihood: -171742.248665

[06:08:59 -567940.850604] Initial branch length optimization
[06:09:01 -428633.506475] Model parameter optimization (eps = 10.000000)
[06:10:55 -425103.844098] AUTODETECT spr round 1 (radius: 5)
[06:11:52 -301437.466945] AUTODETECT spr round 2 (radius: 10)
[06:12:56 -240242.604673] AUTODETECT spr round 3 (radius: 15)
[06:14:10 -204232.838225] AUTODETECT spr round 4 (radius: 20)
[06:15:36 -187683.365441] AUTODETECT spr round 5 (radius: 25)
[06:17:41 -184919.488779] SPR radius for FAST iterations: 25 (autodetect)
[06:17:41 -184919.488779] Model parameter optimization (eps = 3.000000)
[06:18:31 -183148.416906] FAST spr round 1 (radius: 25)
[06:20:02 -172448.399765] FAST spr round 2 (radius: 25)
[06:21:08 -171824.757093] FAST spr round 3 (radius: 25)
[06:22:05 -171785.119995] FAST spr round 4 (radius: 25)
[06:22:54 -171785.119310] Model parameter optimization (eps = 1.000000)
[06:23:03 -171780.055861] SLOW spr round 1 (radius: 5)
[06:24:15 -171731.756559] SLOW spr round 2 (radius: 5)
[06:25:27 -171729.619018] SLOW spr round 3 (radius: 5)
[06:26:34 -171729.557465] SLOW spr round 4 (radius: 10)
[06:27:46 -171719.537374] SLOW spr round 5 (radius: 5)
[06:29:10 -171711.766815] SLOW spr round 6 (radius: 5)
[06:30:23 -171711.765928] SLOW spr round 7 (radius: 10)
[06:31:39 -171707.207042] SLOW spr round 8 (radius: 5)
[06:33:01 -171704.035611] SLOW spr round 9 (radius: 5)
[06:34:13 -171704.035502] SLOW spr round 10 (radius: 10)
[06:35:28 -171704.035494] SLOW spr round 11 (radius: 15)
[06:37:34 -171698.693312] SLOW spr round 12 (radius: 5)
[06:38:58 -171697.849521] SLOW spr round 13 (radius: 5)
[06:40:13 -171697.646821] SLOW spr round 14 (radius: 5)
[06:41:24 -171697.646686] SLOW spr round 15 (radius: 10)
[06:42:37 -171697.646677] SLOW spr round 16 (radius: 15)
[06:44:45 -171697.646674] SLOW spr round 17 (radius: 20)
[06:48:17 -171697.646673] SLOW spr round 18 (radius: 25)
[06:52:26 -171697.646671] Model parameter optimization (eps = 0.100000)

[06:52:29] ML tree search #8, logLikelihood: -171697.581991

[06:52:29 -568187.392323] Initial branch length optimization
[06:52:32 -429351.021718] Model parameter optimization (eps = 10.000000)
[06:53:48 -426279.539304] AUTODETECT spr round 1 (radius: 5)
[06:54:44 -304965.559603] AUTODETECT spr round 2 (radius: 10)
[06:55:49 -238850.811741] AUTODETECT spr round 3 (radius: 15)
[06:57:02 -206102.600399] AUTODETECT spr round 4 (radius: 20)
[06:58:33 -200267.537147] AUTODETECT spr round 5 (radius: 25)
[07:00:22 -195518.094252] SPR radius for FAST iterations: 25 (autodetect)
[07:00:22 -195518.094252] Model parameter optimization (eps = 3.000000)
[07:01:15 -193975.728500] FAST spr round 1 (radius: 25)
[07:02:53 -172699.676278] FAST spr round 2 (radius: 25)
[07:04:07 -171930.750824] FAST spr round 3 (radius: 25)
[07:05:09 -171853.914122] FAST spr round 4 (radius: 25)
[07:06:03 -171847.701534] FAST spr round 5 (radius: 25)
[07:06:52 -171843.232735] FAST spr round 6 (radius: 25)
[07:07:39 -171840.038122] FAST spr round 7 (radius: 25)
[07:08:24 -171838.360581] FAST spr round 8 (radius: 25)
[07:09:09 -171838.359415] Model parameter optimization (eps = 1.000000)
[07:09:20 -171834.365259] SLOW spr round 1 (radius: 5)
[07:10:32 -171795.227194] SLOW spr round 2 (radius: 5)
[07:11:43 -171791.027006] SLOW spr round 3 (radius: 5)
[07:12:50 -171791.026293] SLOW spr round 4 (radius: 10)
[07:13:59 -171783.180267] SLOW spr round 5 (radius: 5)
[07:15:25 -171773.400322] SLOW spr round 6 (radius: 5)
[07:16:43 -171766.979679] SLOW spr round 7 (radius: 5)
[07:17:53 -171761.721388] SLOW spr round 8 (radius: 5)
[07:18:59 -171761.719908] SLOW spr round 9 (radius: 10)
[07:20:10 -171754.024878] SLOW spr round 10 (radius: 5)
[07:21:31 -171752.677532] SLOW spr round 11 (radius: 5)
[07:22:46 -171747.885149] SLOW spr round 12 (radius: 5)
[07:23:55 -171747.884747] SLOW spr round 13 (radius: 10)
[07:25:06 -171747.651260] SLOW spr round 14 (radius: 5)
[07:26:27 -171747.649884] SLOW spr round 15 (radius: 10)
[07:27:50 -171747.649713] SLOW spr round 16 (radius: 15)
[07:29:54 -171745.526094] SLOW spr round 17 (radius: 5)
[07:31:18 -171745.172754] SLOW spr round 18 (radius: 5)
[07:32:32 -171745.171999] SLOW spr round 19 (radius: 10)
[07:33:45 -171745.113010] SLOW spr round 20 (radius: 15)
[07:35:31 -171745.019971] SLOW spr round 21 (radius: 20)
[07:38:20 -171742.682477] SLOW spr round 22 (radius: 5)
[07:39:33 -171742.679518] SLOW spr round 23 (radius: 10)
[07:40:53 -171742.679152] SLOW spr round 24 (radius: 15)
[07:42:34 -171742.679065] SLOW spr round 25 (radius: 20)
[07:45:25 -171742.679039] SLOW spr round 26 (radius: 25)
[07:48:39 -171742.679030] Model parameter optimization (eps = 0.100000)

[07:48:48] ML tree search #9, logLikelihood: -171741.354443

[07:48:48 -561771.797926] Initial branch length optimization
[07:48:50 -421671.712933] Model parameter optimization (eps = 10.000000)
[07:50:12 -417778.913937] AUTODETECT spr round 1 (radius: 5)
[07:51:00 -299644.513174] AUTODETECT spr round 2 (radius: 10)
[07:51:55 -242555.626528] AUTODETECT spr round 3 (radius: 15)
[07:52:58 -212748.812947] AUTODETECT spr round 4 (radius: 20)
[07:54:12 -193510.412407] AUTODETECT spr round 5 (radius: 25)
[07:55:45 -191401.781185] SPR radius for FAST iterations: 25 (autodetect)
[07:55:45 -191401.781185] Model parameter optimization (eps = 3.000000)
[07:56:34 -189497.313429] FAST spr round 1 (radius: 25)
[07:57:53 -172632.729201] FAST spr round 2 (radius: 25)
[07:58:56 -171891.092957] FAST spr round 3 (radius: 25)
[07:59:49 -171831.222951] FAST spr round 4 (radius: 25)
[08:00:33 -171819.853928] FAST spr round 5 (radius: 25)
[08:01:13 -171816.488792] FAST spr round 6 (radius: 25)
[08:01:52 -171816.488554] Model parameter optimization (eps = 1.000000)
[08:02:00 -171812.203016] SLOW spr round 1 (radius: 5)
[08:03:02 -171773.143809] SLOW spr round 2 (radius: 5)
[08:04:02 -171761.740085] SLOW spr round 3 (radius: 5)
[08:05:03 -171748.753721] SLOW spr round 4 (radius: 5)
[08:06:00 -171743.251640] SLOW spr round 5 (radius: 5)
[08:06:55 -171743.251329] SLOW spr round 6 (radius: 10)
[08:07:52 -171743.237706] SLOW spr round 7 (radius: 15)
[08:09:48 -171732.331488] SLOW spr round 8 (radius: 5)
[08:10:59 -171730.379575] SLOW spr round 9 (radius: 5)
[08:12:02 -171730.378681] SLOW spr round 10 (radius: 10)
[08:13:05 -171730.378654] SLOW spr round 11 (radius: 15)
[08:14:52 -171729.711584] SLOW spr round 12 (radius: 5)
[08:16:03 -171729.159259] SLOW spr round 13 (radius: 5)
[08:17:06 -171729.157591] SLOW spr round 14 (radius: 10)
[08:18:10 -171722.845241] SLOW spr round 15 (radius: 5)
[08:19:21 -171718.856308] SLOW spr round 16 (radius: 5)
[08:20:31 -171718.854809] SLOW spr round 17 (radius: 10)
[08:21:42 -171718.854569] SLOW spr round 18 (radius: 15)
[08:23:46 -171718.854473] SLOW spr round 19 (radius: 20)
[08:27:00 -171718.854433] SLOW spr round 20 (radius: 25)
[08:30:33 -171718.854415] Model parameter optimization (eps = 0.100000)

[08:30:37] ML tree search #10, logLikelihood: -171718.807354

[08:30:37 -562648.981802] Initial branch length optimization
[08:30:40 -425715.873089] Model parameter optimization (eps = 10.000000)
[08:31:56 -422810.751062] AUTODETECT spr round 1 (radius: 5)
[08:32:54 -296821.572378] AUTODETECT spr round 2 (radius: 10)
[08:33:58 -236047.174614] AUTODETECT spr round 3 (radius: 15)
[08:35:14 -211138.051309] AUTODETECT spr round 4 (radius: 20)
[08:36:55 -196804.149919] AUTODETECT spr round 5 (radius: 25)
[08:38:49 -192736.548449] SPR radius for FAST iterations: 25 (autodetect)
[08:38:49 -192736.548449] Model parameter optimization (eps = 3.000000)
[08:39:45 -191175.152125] FAST spr round 1 (radius: 25)
[08:41:26 -172628.136372] FAST spr round 2 (radius: 25)
[08:42:34 -171845.074959] FAST spr round 3 (radius: 25)
[08:43:32 -171788.041805] FAST spr round 4 (radius: 25)
[08:44:23 -171784.500534] FAST spr round 5 (radius: 25)
[08:45:11 -171777.272575] FAST spr round 6 (radius: 25)
[08:45:58 -171769.065967] FAST spr round 7 (radius: 25)
[08:46:43 -171769.065924] Model parameter optimization (eps = 1.000000)
[08:46:53 -171759.854171] SLOW spr round 1 (radius: 5)
[08:48:03 -171710.194184] SLOW spr round 2 (radius: 5)
[08:49:12 -171709.663665] SLOW spr round 3 (radius: 5)
[08:50:18 -171709.514357] SLOW spr round 4 (radius: 5)
[08:51:23 -171709.514084] SLOW spr round 5 (radius: 10)
[08:52:31 -171709.252844] SLOW spr round 6 (radius: 5)
[08:53:52 -171708.406357] SLOW spr round 7 (radius: 5)
[08:55:04 -171708.405984] SLOW spr round 8 (radius: 10)
[08:56:18 -171707.498416] SLOW spr round 9 (radius: 5)
[08:57:38 -171706.484614] SLOW spr round 10 (radius: 5)
[08:58:50 -171706.482499] SLOW spr round 11 (radius: 10)
[09:00:02 -171706.482387] SLOW spr round 12 (radius: 15)
[09:02:01 -171704.062515] SLOW spr round 13 (radius: 5)
[09:03:25 -171704.062382] SLOW spr round 14 (radius: 10)
[09:04:45 -171704.062358] SLOW spr round 15 (radius: 15)
[09:06:21 -171704.062349] SLOW spr round 16 (radius: 20)
[09:09:12 -171704.062346] SLOW spr round 17 (radius: 25)
[09:12:27 -171695.657498] SLOW spr round 18 (radius: 5)
[09:13:41 -171695.442396] SLOW spr round 19 (radius: 5)
[09:14:47 -171695.442395] SLOW spr round 20 (radius: 10)
[09:15:53 -171695.442395] SLOW spr round 21 (radius: 15)
[09:17:31 -171695.442395] SLOW spr round 22 (radius: 20)
[09:20:20 -171695.442395] SLOW spr round 23 (radius: 25)
[09:23:35 -171695.442395] Model parameter optimization (eps = 0.100000)

[09:23:41] ML tree search #11, logLikelihood: -171695.301617

[09:23:41 -567518.436365] Initial branch length optimization
[09:23:43 -431352.176461] Model parameter optimization (eps = 10.000000)
[09:25:07 -427412.567921] AUTODETECT spr round 1 (radius: 5)
[09:25:54 -299405.228938] AUTODETECT spr round 2 (radius: 10)
[09:26:47 -235286.506338] AUTODETECT spr round 3 (radius: 15)
[09:27:55 -193600.991837] AUTODETECT spr round 4 (radius: 20)
[09:29:15 -186728.245849] AUTODETECT spr round 5 (radius: 25)
[09:30:48 -185768.301374] SPR radius for FAST iterations: 25 (autodetect)
[09:30:48 -185768.301374] Model parameter optimization (eps = 3.000000)
[09:31:37 -183920.559876] FAST spr round 1 (radius: 25)
[09:32:54 -172511.483143] FAST spr round 2 (radius: 25)
[09:33:57 -171849.718307] FAST spr round 3 (radius: 25)
[09:34:47 -171795.991729] FAST spr round 4 (radius: 25)
[09:35:29 -171790.232997] FAST spr round 5 (radius: 25)
[09:36:09 -171790.232426] Model parameter optimization (eps = 1.000000)
[09:36:20 -171786.714126] SLOW spr round 1 (radius: 5)
[09:37:21 -171733.840777] SLOW spr round 2 (radius: 5)
[09:38:19 -171732.719249] SLOW spr round 3 (radius: 5)
[09:39:15 -171732.716908] SLOW spr round 4 (radius: 10)
[09:40:14 -171729.748705] SLOW spr round 5 (radius: 5)
[09:41:23 -171728.074392] SLOW spr round 6 (radius: 5)
[09:42:25 -171728.072676] SLOW spr round 7 (radius: 10)
[09:43:27 -171727.958250] SLOW spr round 8 (radius: 5)
[09:44:35 -171727.956110] SLOW spr round 9 (radius: 10)
[09:45:45 -171727.955615] SLOW spr round 10 (radius: 15)
[09:47:24 -171727.941869] SLOW spr round 11 (radius: 20)
[09:50:23 -171727.941851] SLOW spr round 12 (radius: 25)
[09:53:38 -171727.941839] Model parameter optimization (eps = 0.100000)

[09:53:45] ML tree search #12, logLikelihood: -171727.830184

[09:53:45 -555918.729225] Initial branch length optimization
[09:53:47 -419049.620525] Model parameter optimization (eps = 10.000000)
[09:54:50 -416641.800875] AUTODETECT spr round 1 (radius: 5)
[09:55:38 -301014.726965] AUTODETECT spr round 2 (radius: 10)
[09:56:33 -244176.158743] AUTODETECT spr round 3 (radius: 15)
[09:57:39 -205551.802831] AUTODETECT spr round 4 (radius: 20)
[09:58:59 -196048.577649] AUTODETECT spr round 5 (radius: 25)
[10:00:42 -189262.647144] SPR radius for FAST iterations: 25 (autodetect)
[10:00:42 -189262.647144] Model parameter optimization (eps = 3.000000)
[10:01:20 -187878.939174] FAST spr round 1 (radius: 25)
[10:02:42 -172527.951291] FAST spr round 2 (radius: 25)
[10:03:45 -171916.364706] FAST spr round 3 (radius: 25)
[10:04:40 -171808.485490] FAST spr round 4 (radius: 25)
[10:05:30 -171787.057315] FAST spr round 5 (radius: 25)
[10:06:10 -171786.692709] FAST spr round 6 (radius: 25)
[10:06:49 -171786.687806] Model parameter optimization (eps = 1.000000)
[10:07:02 -171776.862309] SLOW spr round 1 (radius: 5)
[10:08:07 -171735.291337] SLOW spr round 2 (radius: 5)
[10:09:07 -171729.243000] SLOW spr round 3 (radius: 5)
[10:10:04 -171727.770620] SLOW spr round 4 (radius: 5)
[10:11:01 -171727.770277] SLOW spr round 5 (radius: 10)
[10:11:59 -171724.373487] SLOW spr round 6 (radius: 5)
[10:13:09 -171716.924535] SLOW spr round 7 (radius: 5)
[10:14:11 -171716.923665] SLOW spr round 8 (radius: 10)
[10:15:13 -171716.727843] SLOW spr round 9 (radius: 5)
[10:16:20 -171716.727601] SLOW spr round 10 (radius: 10)
[10:17:30 -171716.727560] SLOW spr round 11 (radius: 15)
[10:19:06 -171716.715713] SLOW spr round 12 (radius: 20)
[10:21:58 -171712.281618] SLOW spr round 13 (radius: 5)
[10:23:13 -171712.052389] SLOW spr round 14 (radius: 5)
[10:24:18 -171712.051507] SLOW spr round 15 (radius: 10)
[10:25:23 -171712.051065] SLOW spr round 16 (radius: 15)
[10:27:00 -171712.050817] SLOW spr round 17 (radius: 20)
[10:29:51 -171712.050675] SLOW spr round 18 (radius: 25)
[10:33:22 -171712.050594] Model parameter optimization (eps = 0.100000)

[10:33:29] ML tree search #13, logLikelihood: -171711.733957

[10:33:29 -568410.079713] Initial branch length optimization
[10:33:31 -426571.487939] Model parameter optimization (eps = 10.000000)
[10:34:50 -422882.326705] AUTODETECT spr round 1 (radius: 5)
[10:35:38 -301551.506495] AUTODETECT spr round 2 (radius: 10)
[10:36:36 -240159.744183] AUTODETECT spr round 3 (radius: 15)
[10:37:40 -206173.798352] AUTODETECT spr round 4 (radius: 20)
[10:38:58 -190513.052618] AUTODETECT spr round 5 (radius: 25)
[10:40:34 -189170.401141] SPR radius for FAST iterations: 25 (autodetect)
[10:40:34 -189170.401141] Model parameter optimization (eps = 3.000000)
[10:41:25 -187306.240680] FAST spr round 1 (radius: 25)
[10:42:45 -172510.356936] FAST spr round 2 (radius: 25)
[10:43:45 -171897.926585] FAST spr round 3 (radius: 25)
[10:44:39 -171834.128373] FAST spr round 4 (radius: 25)
[10:45:28 -171796.190001] FAST spr round 5 (radius: 25)
[10:46:12 -171786.732167] FAST spr round 6 (radius: 25)
[10:46:51 -171786.731197] Model parameter optimization (eps = 1.000000)
[10:47:00 -171783.570228] SLOW spr round 1 (radius: 5)
[10:47:59 -171752.469918] SLOW spr round 2 (radius: 5)
[10:48:57 -171749.110006] SLOW spr round 3 (radius: 5)
[10:49:54 -171746.838482] SLOW spr round 4 (radius: 5)
[10:50:49 -171745.470132] SLOW spr round 5 (radius: 5)
[10:51:45 -171745.469683] SLOW spr round 6 (radius: 10)
[10:52:44 -171742.086894] SLOW spr round 7 (radius: 5)
[10:53:53 -171740.815053] SLOW spr round 8 (radius: 5)
[10:54:55 -171740.814732] SLOW spr round 9 (radius: 10)
[10:55:58 -171740.814713] SLOW spr round 10 (radius: 15)
[10:57:48 -171740.106797] SLOW spr round 11 (radius: 5)
[10:59:02 -171735.104828] SLOW spr round 12 (radius: 5)
[11:00:07 -171732.468157] SLOW spr round 13 (radius: 5)
[11:01:06 -171731.313268] SLOW spr round 14 (radius: 5)
[11:02:03 -171731.312274] SLOW spr round 15 (radius: 10)
[11:03:03 -171731.312258] SLOW spr round 16 (radius: 15)
[11:04:56 -171731.312258] SLOW spr round 17 (radius: 20)
[11:08:06 -171731.312258] SLOW spr round 18 (radius: 25)
[11:11:39 -171731.312258] Model parameter optimization (eps = 0.100000)

[11:11:47] ML tree search #14, logLikelihood: -171730.888873

[11:11:47 -569487.153900] Initial branch length optimization
[11:11:49 -425997.368797] Model parameter optimization (eps = 10.000000)
[11:13:13 -421879.270597] AUTODETECT spr round 1 (radius: 5)
[11:14:01 -306909.434442] AUTODETECT spr round 2 (radius: 10)
[11:14:54 -241626.843179] AUTODETECT spr round 3 (radius: 15)
[11:15:54 -215383.619573] AUTODETECT spr round 4 (radius: 20)
[11:17:14 -194837.144492] AUTODETECT spr round 5 (radius: 25)
[11:19:08 -190371.796192] SPR radius for FAST iterations: 25 (autodetect)
[11:19:08 -190371.796192] Model parameter optimization (eps = 3.000000)
[11:20:00 -188599.546163] FAST spr round 1 (radius: 25)
[11:21:20 -172521.635339] FAST spr round 2 (radius: 25)
[11:22:18 -171958.416750] FAST spr round 3 (radius: 25)
[11:23:08 -171881.226534] FAST spr round 4 (radius: 25)
[11:23:51 -171877.037421] FAST spr round 5 (radius: 25)
[11:24:33 -171874.928219] FAST spr round 6 (radius: 25)
[11:25:12 -171874.927384] Model parameter optimization (eps = 1.000000)
[11:25:22 -171872.218888] SLOW spr round 1 (radius: 5)
[11:26:22 -171812.542547] SLOW spr round 2 (radius: 5)
[11:27:23 -171807.879062] SLOW spr round 3 (radius: 5)
[11:28:20 -171807.510327] SLOW spr round 4 (radius: 5)
[11:29:15 -171807.510087] SLOW spr round 5 (radius: 10)
[11:30:13 -171807.509969] SLOW spr round 6 (radius: 15)
[11:32:05 -171806.736165] SLOW spr round 7 (radius: 5)
[11:33:19 -171799.198252] SLOW spr round 8 (radius: 5)
[11:34:24 -171798.368192] SLOW spr round 9 (radius: 5)
[11:35:24 -171798.366716] SLOW spr round 10 (radius: 10)
[11:36:24 -171797.159262] SLOW spr round 11 (radius: 5)
[11:37:32 -171797.157540] SLOW spr round 12 (radius: 10)
[11:38:42 -171797.157387] SLOW spr round 13 (radius: 15)
[11:40:26 -171795.134057] SLOW spr round 14 (radius: 5)
[11:41:38 -171794.332341] SLOW spr round 15 (radius: 5)
[11:42:42 -171794.332213] SLOW spr round 16 (radius: 10)
[11:43:47 -171794.332183] SLOW spr round 17 (radius: 15)
[11:45:33 -171794.332173] SLOW spr round 18 (radius: 20)
[11:48:40 -171791.504177] SLOW spr round 19 (radius: 5)
[11:49:53 -171791.503010] SLOW spr round 20 (radius: 10)
[11:51:15 -171791.502886] SLOW spr round 21 (radius: 15)
[11:52:57 -171791.502849] SLOW spr round 22 (radius: 20)
[11:56:08 -171791.502831] SLOW spr round 23 (radius: 25)
[11:59:45 -171791.502820] Model parameter optimization (eps = 0.100000)

[11:59:49] ML tree search #15, logLikelihood: -171791.428383

[11:59:49 -569972.314766] Initial branch length optimization
[11:59:51 -426038.505844] Model parameter optimization (eps = 10.000000)
[12:01:00 -422814.716407] AUTODETECT spr round 1 (radius: 5)
[12:01:46 -296459.103190] AUTODETECT spr round 2 (radius: 10)
[12:02:40 -230816.217012] AUTODETECT spr round 3 (radius: 15)
[12:03:43 -205624.094306] AUTODETECT spr round 4 (radius: 20)
[12:05:03 -193093.553871] AUTODETECT spr round 5 (radius: 25)
[12:06:37 -191171.172373] SPR radius for FAST iterations: 25 (autodetect)
[12:06:37 -191171.172373] Model parameter optimization (eps = 3.000000)
[12:07:24 -189682.899898] FAST spr round 1 (radius: 25)
[12:08:40 -172530.820973] FAST spr round 2 (radius: 25)
[12:09:37 -171914.693616] FAST spr round 3 (radius: 25)
[12:10:27 -171848.986170] FAST spr round 4 (radius: 25)
[12:11:10 -171825.285073] FAST spr round 5 (radius: 25)
[12:11:52 -171817.568428] FAST spr round 6 (radius: 25)
[12:12:30 -171817.567695] Model parameter optimization (eps = 1.000000)
[12:12:42 -171807.342039] SLOW spr round 1 (radius: 5)
[12:13:41 -171762.137092] SLOW spr round 2 (radius: 5)
[12:14:41 -171753.287796] SLOW spr round 3 (radius: 5)
[12:15:41 -171750.566639] SLOW spr round 4 (radius: 5)
[12:16:37 -171750.565162] SLOW spr round 5 (radius: 10)
[12:17:37 -171740.245259] SLOW spr round 6 (radius: 5)
[12:18:51 -171718.706507] SLOW spr round 7 (radius: 5)
[12:19:54 -171718.355669] SLOW spr round 8 (radius: 5)
[12:20:52 -171718.353470] SLOW spr round 9 (radius: 10)
[12:21:55 -171707.762739] SLOW spr round 10 (radius: 5)
[12:23:05 -171705.942775] SLOW spr round 11 (radius: 5)
[12:24:07 -171705.942600] SLOW spr round 12 (radius: 10)
[12:25:11 -171705.747502] SLOW spr round 13 (radius: 5)
[12:26:19 -171705.574858] SLOW spr round 14 (radius: 5)
[12:27:21 -171705.574653] SLOW spr round 15 (radius: 10)
[12:28:24 -171704.860512] SLOW spr round 16 (radius: 5)
[12:29:32 -171704.860304] SLOW spr round 17 (radius: 10)
[12:30:43 -171704.860294] SLOW spr round 18 (radius: 15)
[12:32:21 -171704.860292] SLOW spr round 19 (radius: 20)
[12:35:10 -171704.860291] SLOW spr round 20 (radius: 25)
[12:38:15 -171704.860291] Model parameter optimization (eps = 0.100000)

[12:38:24] ML tree search #16, logLikelihood: -171704.568386

[12:38:24 -571187.788707] Initial branch length optimization
[12:38:27 -430088.605888] Model parameter optimization (eps = 10.000000)
[12:39:54 -426432.664350] AUTODETECT spr round 1 (radius: 5)
[12:40:41 -303391.222000] AUTODETECT spr round 2 (radius: 10)
[12:41:38 -234104.897523] AUTODETECT spr round 3 (radius: 15)
[12:42:40 -207687.145896] AUTODETECT spr round 4 (radius: 20)
[12:43:56 -197873.306954] AUTODETECT spr round 5 (radius: 25)
[12:45:19 -193546.512647] SPR radius for FAST iterations: 25 (autodetect)
[12:45:19 -193546.512647] Model parameter optimization (eps = 3.000000)
[12:46:08 -191720.403264] FAST spr round 1 (radius: 25)
[12:47:28 -172714.313127] FAST spr round 2 (radius: 25)
[12:48:29 -171855.671612] FAST spr round 3 (radius: 25)
[12:49:19 -171794.730013] FAST spr round 4 (radius: 25)
[12:50:04 -171780.504884] FAST spr round 5 (radius: 25)
[12:50:44 -171777.991000] FAST spr round 6 (radius: 25)
[12:51:23 -171777.314481] FAST spr round 7 (radius: 25)
[12:52:02 -171777.312671] Model parameter optimization (eps = 1.000000)
[12:52:10 -171770.529044] SLOW spr round 1 (radius: 5)
[12:53:10 -171735.241185] SLOW spr round 2 (radius: 5)
[12:54:09 -171731.499770] SLOW spr round 3 (radius: 5)
[12:55:05 -171731.497028] SLOW spr round 4 (radius: 10)
[12:56:06 -171725.795146] SLOW spr round 5 (radius: 5)
[12:57:15 -171723.565572] SLOW spr round 6 (radius: 5)
[12:58:17 -171723.564929] SLOW spr round 7 (radius: 10)
[12:59:21 -171721.946461] SLOW spr round 8 (radius: 5)
[13:00:32 -171716.421917] SLOW spr round 9 (radius: 5)
[13:01:34 -171715.804329] SLOW spr round 10 (radius: 5)
[13:02:31 -171715.804264] SLOW spr round 11 (radius: 10)
[13:03:32 -171713.216523] SLOW spr round 12 (radius: 5)
[13:04:42 -171709.436832] SLOW spr round 13 (radius: 5)
[13:05:43 -171709.436276] SLOW spr round 14 (radius: 10)
[13:06:47 -171708.488946] SLOW spr round 15 (radius: 5)
[13:07:56 -171707.725317] SLOW spr round 16 (radius: 5)
[13:08:57 -171707.725068] SLOW spr round 17 (radius: 10)
[13:10:01 -171707.691618] SLOW spr round 18 (radius: 15)
[13:11:49 -171707.679638] SLOW spr round 19 (radius: 20)
[13:14:40 -171707.677208] SLOW spr round 20 (radius: 25)
[13:17:49 -171707.676642] Model parameter optimization (eps = 0.100000)

[13:17:55] ML tree search #17, logLikelihood: -171707.501971

[13:17:55 -562400.250508] Initial branch length optimization
[13:17:57 -427619.977273] Model parameter optimization (eps = 10.000000)
[13:19:22 -424999.096344] AUTODETECT spr round 1 (radius: 5)
[13:20:13 -307501.544333] AUTODETECT spr round 2 (radius: 10)
[13:21:07 -242475.229753] AUTODETECT spr round 3 (radius: 15)
[13:22:13 -210525.188136] AUTODETECT spr round 4 (radius: 20)
[13:23:31 -200696.872764] AUTODETECT spr round 5 (radius: 25)
[13:24:59 -190944.444718] SPR radius for FAST iterations: 25 (autodetect)
[13:24:59 -190944.444718] Model parameter optimization (eps = 3.000000)
[13:25:43 -189348.179075] FAST spr round 1 (radius: 25)
[13:27:05 -172717.196597] FAST spr round 2 (radius: 25)
[13:28:09 -171875.064807] FAST spr round 3 (radius: 25)
[13:28:59 -171808.696034] FAST spr round 4 (radius: 25)
[13:29:43 -171793.476778] FAST spr round 5 (radius: 25)
[13:30:23 -171792.307736] FAST spr round 6 (radius: 25)
[13:31:02 -171792.307274] Model parameter optimization (eps = 1.000000)
[13:31:11 -171786.036492] SLOW spr round 1 (radius: 5)
[13:32:11 -171761.575542] SLOW spr round 2 (radius: 5)
[13:33:10 -171760.235404] SLOW spr round 3 (radius: 5)
[13:34:07 -171760.234586] SLOW spr round 4 (radius: 10)
[13:35:04 -171760.009986] SLOW spr round 5 (radius: 5)
[13:36:12 -171760.009257] SLOW spr round 6 (radius: 10)
[13:37:22 -171760.009085] SLOW spr round 7 (radius: 15)
[13:39:03 -171757.560319] SLOW spr round 8 (radius: 5)
[13:40:14 -171757.559228] SLOW spr round 9 (radius: 10)
[13:41:29 -171757.558944] SLOW spr round 10 (radius: 15)
[13:43:08 -171757.558843] SLOW spr round 11 (radius: 20)
[13:46:00 -171748.358981] SLOW spr round 12 (radius: 5)
[13:47:14 -171747.350764] SLOW spr round 13 (radius: 5)
[13:48:21 -171744.431244] SLOW spr round 14 (radius: 5)
[13:49:21 -171743.737262] SLOW spr round 15 (radius: 5)
[13:50:18 -171743.737196] SLOW spr round 16 (radius: 10)
[13:51:16 -171743.737192] SLOW spr round 17 (radius: 15)
[13:53:04 -171743.737191] SLOW spr round 18 (radius: 20)
[13:55:47 -171743.737190] SLOW spr round 19 (radius: 25)
[13:58:51 -171743.737189] Model parameter optimization (eps = 0.100000)

[13:58:56] ML tree search #18, logLikelihood: -171743.702164

[13:58:56 -564191.788823] Initial branch length optimization
[13:58:58 -424844.407250] Model parameter optimization (eps = 10.000000)
[14:00:29 -421549.973234] AUTODETECT spr round 1 (radius: 5)
[14:01:17 -294630.979125] AUTODETECT spr round 2 (radius: 10)
[14:02:12 -239735.035898] AUTODETECT spr round 3 (radius: 15)
[14:03:14 -204995.009344] AUTODETECT spr round 4 (radius: 20)
[14:04:29 -197013.905581] AUTODETECT spr round 5 (radius: 25)
[14:06:11 -188263.291334] SPR radius for FAST iterations: 25 (autodetect)
[14:06:11 -188263.291334] Model parameter optimization (eps = 3.000000)
[14:07:02 -186488.227237] FAST spr round 1 (radius: 25)
[14:08:24 -173436.102506] FAST spr round 2 (radius: 25)
[14:09:31 -172011.207968] FAST spr round 3 (radius: 25)
[14:10:23 -171849.634857] FAST spr round 4 (radius: 25)
[14:11:06 -171843.641321] FAST spr round 5 (radius: 25)
[14:11:46 -171843.638666] Model parameter optimization (eps = 1.000000)
[14:11:54 -171840.205953] SLOW spr round 1 (radius: 5)
[14:12:56 -171775.456096] SLOW spr round 2 (radius: 5)
[14:13:57 -171767.876504] SLOW spr round 3 (radius: 5)
[14:14:54 -171767.267436] SLOW spr round 4 (radius: 5)
[14:15:50 -171767.266548] SLOW spr round 5 (radius: 10)
[14:16:49 -171763.480361] SLOW spr round 6 (radius: 5)
[14:17:59 -171756.967368] SLOW spr round 7 (radius: 5)
[14:19:01 -171756.967069] SLOW spr round 8 (radius: 10)
[14:20:04 -171754.917299] SLOW spr round 9 (radius: 5)
[14:21:12 -171753.374208] SLOW spr round 10 (radius: 5)
[14:22:14 -171753.374045] SLOW spr round 11 (radius: 10)
[14:23:16 -171753.374041] SLOW spr round 12 (radius: 15)
[14:25:02 -171753.352379] SLOW spr round 13 (radius: 20)
[14:27:50 -171751.258884] SLOW spr round 14 (radius: 5)
[14:29:04 -171750.877580] SLOW spr round 15 (radius: 5)
[14:30:09 -171750.877414] SLOW spr round 16 (radius: 10)
[14:31:16 -171749.068162] SLOW spr round 17 (radius: 5)
[14:32:24 -171747.593830] SLOW spr round 18 (radius: 5)
[14:33:25 -171747.593495] SLOW spr round 19 (radius: 10)
[14:34:27 -171747.593487] SLOW spr round 20 (radius: 15)
[14:36:14 -171747.593484] SLOW spr round 21 (radius: 20)
[14:39:02 -171747.593483] SLOW spr round 22 (radius: 25)
[14:42:22 -171747.593483] Model parameter optimization (eps = 0.100000)

[14:42:25] ML tree search #19, logLikelihood: -171747.533519

[14:42:25 -570848.623177] Initial branch length optimization
[14:42:27 -434324.751525] Model parameter optimization (eps = 10.000000)
[14:44:30 -430054.246527] AUTODETECT spr round 1 (radius: 5)
[14:45:18 -298957.463909] AUTODETECT spr round 2 (radius: 10)
[14:46:11 -238722.432267] AUTODETECT spr round 3 (radius: 15)
[14:47:13 -202510.017896] AUTODETECT spr round 4 (radius: 20)
[14:48:25 -190360.679987] AUTODETECT spr round 5 (radius: 25)
[14:49:53 -187997.004993] SPR radius for FAST iterations: 25 (autodetect)
[14:49:53 -187997.004993] Model parameter optimization (eps = 3.000000)
[14:50:48 -185981.852611] FAST spr round 1 (radius: 25)
[14:52:09 -172400.674491] FAST spr round 2 (radius: 25)
[14:53:06 -171851.914844] FAST spr round 3 (radius: 25)
[14:53:59 -171783.052568] FAST spr round 4 (radius: 25)
[14:54:41 -171777.555449] FAST spr round 5 (radius: 25)
[14:55:22 -171775.153056] FAST spr round 6 (radius: 25)
[14:56:03 -171775.152990] Model parameter optimization (eps = 1.000000)
[14:56:12 -171773.123464] SLOW spr round 1 (radius: 5)
[14:57:23 -171722.713050] SLOW spr round 2 (radius: 5)
[14:58:34 -171711.892256] SLOW spr round 3 (radius: 5)
[14:59:42 -171708.156211] SLOW spr round 4 (radius: 5)
[15:00:51 -171705.371542] SLOW spr round 5 (radius: 5)
[15:01:57 -171705.370720] SLOW spr round 6 (radius: 10)
[15:03:07 -171704.348687] SLOW spr round 7 (radius: 5)
[15:04:28 -171704.039878] SLOW spr round 8 (radius: 5)
[15:05:41 -171704.039366] SLOW spr round 9 (radius: 10)
[15:06:57 -171698.225969] SLOW spr round 10 (radius: 5)
[15:08:17 -171697.927783] SLOW spr round 11 (radius: 5)
[15:09:29 -171697.927579] SLOW spr round 12 (radius: 10)
[15:10:43 -171697.901845] SLOW spr round 13 (radius: 15)
[15:12:48 -171697.901047] SLOW spr round 14 (radius: 20)
[15:16:18 -171697.901017] SLOW spr round 15 (radius: 25)
[15:20:22 -171697.901011] Model parameter optimization (eps = 0.100000)

[15:20:26] ML tree search #20, logLikelihood: -171697.861081


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.092690,0.202997) (0.070637,0.350613) (0.416034,0.782930) (0.420638,1.499370) 
   Base frequencies (model): 
M0: 0.147383 0.017579 0.058208 0.017707 0.026331 0.041582 0.017494 0.027859 0.011849 0.076971 0.147823 0.019535 0.037132 0.029940 0.008059 0.088179 0.089653 0.006477 0.032308 0.097931 
M1: 0.063139 0.066357 0.011586 0.066571 0.010800 0.009276 0.053984 0.146986 0.034214 0.088822 0.098196 0.032390 0.021263 0.072697 0.016761 0.020711 0.020797 0.025463 0.045615 0.094372 
M2: 0.062457 0.066826 0.049332 0.065270 0.006513 0.041231 0.058965 0.080852 0.028024 0.037024 0.075925 0.064131 0.019620 0.028710 0.104579 0.056388 0.062027 0.008241 0.033124 0.050760 
M3: 0.106471 0.074171 0.044513 0.096390 0.002148 0.066733 0.158908 0.037625 0.020691 0.014608 0.028797 0.105352 0.007864 0.007477 0.083595 0.055726 0.047711 0.003975 0.010088 0.027159 
   Substitution rates (model): 
M 0: 0.295719 0.067388 0.253712 1.029289 0.107964 0.514644 10.868848 0.380498 0.084223 0.086976 0.188789 0.286389 0.155567 1.671061 2.132922 0.529591 0.115551 0.102453 0.916683 0.448317 0.457483 0.576016 1.741924 0.736017 0.704334 5.658311 0.123387 0.221777 93.433377 0.382175 0.235965 6.535048 0.525521 0.303537 0.641259 0.289466 0.102065 2.358429 0.251987 0.216561 0.503084 0.435271 4.873453 0.090748 0.033310 0.746537 0.128905 0.127321 0.904011 0.939733 0.435450 0.046646 0.262076 0.043986 0.189008 0.599450 109.901504 1.070052 5.229858 0.052764 0.021407 0.621146 0.081091 0.205164 5.164456 0.747330 0.308078 0.260889 0.185083 0.080708 0.029955 0.084794 1.862626 0.553477 0.151733 0.230320 0.096955 0.352526 0.590018 0.386853 1.559564 0.606648 0.587531 0.592318 0.885230 4.117654 0.246260 6.508329 0.054187 0.195703 1.669092 0.810168 0.066081 2.437439 0.165666 0.106333 0.093417 0.035149 0.072549 1.202023 1.634845 0.060194 0.069359 2.448827 0.232297 0.064822 3.537387 0.435384 0.290413 0.280695 0.105999 0.206603 0.404968 0.048984 0.069963 0.256662 0.228519 0.241077 4.320442 3.656545 0.290216 0.307466 0.096556 0.306067 0.204296 0.504221 1.991533 0.655465 6.799829 11.291065 0.961142 0.448965 6.227274 20.304886 0.205944 1.495537 0.091940 1.994320 0.754940 0.170343 0.050315 0.372166 0.206332 0.097050 5.381403 0.122332 3.256485 2.261319 0.848067 0.064441 0.102493 0.459041 0.133091 0.561215 0.457430 0.163849 5.260446 0.360946 0.389413 0.033291 0.115301 0.112593 1.559944 0.426508 0.132547 0.498634 0.559069 0.264728 0.693307 0.438856 0.306683 0.109129 18.392863 66.647302 0.400021 4.586081 2.099355 0.411347 0.476350 0.584622 3.634276 0.101797 0.148995 0.089177 0.034710 0.063603 0.755865 20.561407 0.133790 0.154902 
M 1: 0.066142 0.590377 0.069930 9.850951 1.101363 0.150375 0.568586 0.051668 0.127170 0.292429 0.071458 1.218562 0.075144 7.169085 30.139501 13.461692 0.021372 0.045779 4.270235 0.468325 0.013688 0.302287 1.353957 0.028386 0.037750 0.262130 0.016923 0.064289 0.855973 0.079621 0.011169 0.161937 0.276530 0.161053 0.081472 0.036742 0.030342 2.851667 3.932151 8.159169 0.219934 0.421974 2.468752 0.344765 0.210724 1.172204 0.763553 0.082464 0.726566 11.149790 4.782635 0.058046 0.498072 0.258487 0.146882 0.249672 0.560142 0.046719 0.106259 0.003656 0.004200 0.014189 0.009876 0.002656 0.040244 0.267322 0.053740 0.006597 0.027639 0.012745 0.582670 0.005035 0.275844 0.098208 0.445038 1.217010 0.033969 1.988516 0.681161 0.825960 18.762977 11.949233 0.286794 0.534219 4.336817 3.054085 0.129551 4.210126 0.165753 1.088704 1.889645 3.344809 0.111063 2.067758 3.547017 2.466507 0.188236 0.203493 0.281953 0.037250 0.029788 0.008541 0.014768 0.125869 0.056702 0.004186 0.110993 0.201148 0.139705 0.009201 0.012095 0.043812 0.013513 0.002533 0.005848 0.031390 0.021612 0.004854 0.129497 0.976631 0.053397 0.019475 0.004964 0.015539 0.031779 0.064558 0.065585 0.079927 0.095591 0.196886 0.408834 0.126088 0.037226 0.452302 0.016212 7.278994 0.029917 7.918203 0.450964 0.169797 0.104288 1.578530 0.015909 0.094365 16.179952 0.042762 14.799537 1.506485 0.637893 0.123793 0.641351 0.154810 0.140750 3.416059 0.259400 0.009457 0.090576 0.292108 0.297913 0.017172 0.021976 0.032578 1.375871 0.457399 0.598048 4.418398 0.239749 0.168432 2.950318 0.143327 0.328689 0.125011 0.562720 1.414883 0.227807 3.478333 2.984862 0.061299 0.077470 1.050562 13.974326 0.154326 0.224675 0.112000 0.060703 0.123480 5.294490 0.447011 0.033381 0.045528 
M 2: 0.733336 0.558955 0.503360 4.149599 1.415369 1.367574 1.263002 0.994098 0.517204 0.775054 0.763094 1.890137 0.540460 0.200122 4.972745 1.825593 0.450842 0.526135 3.839269 0.597671 0.058964 2.863355 2.872594 0.258365 0.366868 2.578946 0.358350 0.672023 5.349861 0.691594 0.063347 0.032875 0.821562 0.580847 0.661866 0.265730 0.395134 5.581680 1.279881 1.335650 0.397108 1.840061 5.739035 0.284730 0.109781 1.612642 0.466979 0.141582 0.019509 4.670980 1.967383 0.088064 0.581928 0.145401 0.225860 0.434096 2.292917 1.024707 0.821921 0.027824 0.021443 0.088850 0.060820 0.018288 0.042687 1.199607 0.420710 0.037642 0.141233 0.090101 1.043232 0.209978 0.823594 3.039380 1.463390 1.983693 0.397640 2.831098 4.102068 0.059723 5.901348 2.034980 2.600668 5.413080 4.193725 4.534772 0.377181 4.877840 0.370939 1.298542 3.509873 2.646440 0.087872 0.072299 1.139018 0.864479 0.390688 0.322761 0.625409 0.496780 0.532488 0.232460 0.169219 0.755219 0.379926 0.020447 0.023282 0.503875 0.577513 0.109318 0.153776 0.696533 0.398817 0.008940 0.043707 0.436013 0.087640 0.064863 0.036426 1.673207 0.124068 0.218118 0.039217 0.104335 0.349195 0.838324 0.888693 0.488389 1.385133 0.050226 0.962470 0.502294 1.065585 8.351808 0.377304 5.102837 0.561690 7.010411 3.054968 0.039318 0.204155 2.653232 0.564368 0.854294 15.559906 0.401070 8.929538 5.525874 0.067505 0.273372 0.437116 1.927515 0.940458 2.508169 1.357738 0.043394 0.023126 0.567639 1.048288 0.120994 0.180650 0.449074 3.135353 0.012695 0.570771 2.319555 1.856122 0.975427 3.404087 0.015631 0.458799 0.151684 4.154750 11.429924 1.457957 0.233109 0.077004 0.011074 0.026268 0.052132 8.113282 0.377578 0.429221 0.260296 0.222293 0.273138 2.903836 4.731579 0.564762 0.681215 
M 3: 0.658412 0.566269 0.854111 0.884454 1.309554 1.272639 1.874713 0.552007 0.227683 0.581512 0.695190 0.967985 0.344015 0.978992 3.427163 2.333253 0.154701 0.221089 2.088785 0.540749 0.058015 5.851132 2.294145 0.182966 0.684164 3.192521 0.528161 1.128882 3.010922 1.012866 0.227296 0.156635 0.878405 0.802754 0.830884 0.431617 0.456530 3.060574 1.279257 1.438430 0.431464 2.075952 4.840271 0.644656 0.266076 2.084975 0.720060 0.291854 0.028961 4.071574 2.258357 0.073037 1.238426 0.199728 0.160296 0.482619 2.992763 1.296206 0.841829 0.031467 0.048542 0.132774 0.133055 0.056045 0.209188 0.925172 0.360522 0.094591 0.313945 0.118104 0.992259 0.086318 2.149634 5.103188 3.775817 3.954021 0.190734 1.776095 4.495841 0.264277 7.063879 2.221150 3.017954 8.558815 4.310199 2.130054 0.571406 4.137385 0.437589 2.071689 2.498630 1.763546 0.116381 0.296578 1.033710 1.283423 0.312579 0.305772 0.681277 0.507160 0.351381 0.189152 0.217780 0.767361 0.278392 0.092075 0.177263 0.451893 0.653836 0.074620 0.181992 0.752277 0.679853 0.025780 0.082005 0.326441 0.343977 0.195877 0.217424 3.057583 0.377558 0.401252 0.072258 0.241015 0.665865 1.266791 0.680174 0.717301 4.001286 0.362942 1.189259 0.964545 1.350568 12.869737 0.531100 8.904999 0.652629 10.091413 2.671718 0.086367 0.359932 4.797423 0.336801 1.021885 23.029406 0.440178 14.013035 5.069337 0.539010 0.742569 0.780580 1.331875 1.531589 4.414850 1.082703 0.091278 0.172734 0.693405 1.422571 0.068958 0.163829 0.481711 4.643214 0.121821 0.584083 4.216178 1.677263 1.575754 5.046403 0.161015 1.531223 0.599244 5.832025 33.873091 1.914768 1.287474 0.444362 0.076328 0.079916 0.466823 5.231362 0.548763 0.831890 0.382271 0.208791 0.307846 3.717971 5.910440 0.282540 0.964421 


Final LogLikelihood: -171689.011470

AIC score: 345688.022939 / AICc score: 379923.407555 / BIC score: 351599.331656
Free parameters (model + branch lengths): 1155

Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q2M1K9/3_mltree/Q2M1K9.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q2M1K9/3_mltree/Q2M1K9.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q2M1K9/3_mltree/Q2M1K9.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q2M1K9/3_mltree/Q2M1K9.raxml.log

Analysis started: 13-Jul-2021 16:15:34 / finished: 14-Jul-2021 07:36:01

Elapsed time: 55226.744 seconds

Consumed energy: 4830.353 Wh (= 24 km in an electric car, or 121 km with an e-scooter!)