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 03-Jul-2021 17:36:53 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q86UP8/2_msa/Q86UP8_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q86UP8/3_mltree/Q86UP8 --seed 2 --threads 8 --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 (8 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q86UP8/2_msa/Q86UP8_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 1784 sites

WARNING: Sequences tr_H2QUR5_H2QUR5_PANTR_9598 and sp_P78347_GTF2I_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_H2QUR5_H2QUR5_PANTR_9598 and tr_A0A2R9AXQ0_A0A2R9AXQ0_PANPA_9597 are exactly identical!
WARNING: Sequences tr_R7TMU1_R7TMU1_CAPTE_283909 and tr_R7U160_R7U160_CAPTE_283909 are exactly identical!
WARNING: Sequences tr_A0A2J7PBR0_A0A2J7PBR0_9NEOP_105785 and tr_A0A2J7PTB9_A0A2J7PTB9_9NEOP_105785 are exactly identical!
WARNING: Sequences tr_A0A2J7PBR0_A0A2J7PBR0_9NEOP_105785 and tr_A0A2J7Q5R5_A0A2J7Q5R5_9NEOP_105785 are exactly identical!
WARNING: Sequences tr_A0A2J7PSG6_A0A2J7PSG6_9NEOP_105785 and tr_A0A2J7R0L9_A0A2J7R0L9_9NEOP_105785 are exactly identical!
WARNING: Sequences tr_A0A2J7QII8_A0A2J7QII8_9NEOP_105785 and tr_A0A2J7QS42_A0A2J7QS42_9NEOP_105785 are exactly identical!
WARNING: Sequences tr_A0A2J7QII8_A0A2J7QII8_9NEOP_105785 and tr_A0A2J7R7G2_A0A2J7R7G2_9NEOP_105785 are exactly identical!
WARNING: Duplicate sequences found: 8

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/Q86UP8/3_mltree/Q86UP8.raxml.reduced.phy

Alignment comprises 1 partitions and 1774 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 1784 / 1774
Gaps: 73.99 %
Invariant sites: 1.68 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q86UP8/3_mltree/Q86UP8.raxml.rba

Parallelization scheme autoconfig: 1 worker(s) x 8 thread(s)

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

[00:00:00] Generating 20 random starting tree(s) with 1001 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 222 / 17760
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -950048.407702] Initial branch length optimization
[00:00:12 -814517.883514] Model parameter optimization (eps = 10.000000)
[00:01:41 -809056.939802] AUTODETECT spr round 1 (radius: 5)
[00:05:09 -560474.907800] AUTODETECT spr round 2 (radius: 10)
[00:08:46 -421590.676356] AUTODETECT spr round 3 (radius: 15)
[00:12:58 -357363.956705] AUTODETECT spr round 4 (radius: 20)
[00:17:53 -334339.061801] AUTODETECT spr round 5 (radius: 25)
[00:24:17 -329579.871225] SPR radius for FAST iterations: 25 (autodetect)
[00:24:17 -329579.871225] Model parameter optimization (eps = 3.000000)
[00:25:13 -328522.199132] FAST spr round 1 (radius: 25)
[00:31:44 -307124.435435] FAST spr round 2 (radius: 25)
[00:36:03 -306330.285579] FAST spr round 3 (radius: 25)
[00:39:39 -306240.372864] FAST spr round 4 (radius: 25)
[00:42:53 -306230.317706] FAST spr round 5 (radius: 25)
[00:45:42 -306228.297298] FAST spr round 6 (radius: 25)
[00:48:22 -306228.296153] Model parameter optimization (eps = 1.000000)
[00:48:47 -306219.461012] SLOW spr round 1 (radius: 5)
[00:52:24 -306165.391346] SLOW spr round 2 (radius: 5)
[00:56:00 -306149.907836] SLOW spr round 3 (radius: 5)
[00:59:34 -306149.428700] SLOW spr round 4 (radius: 5)
[01:03:01 -306149.428337] SLOW spr round 5 (radius: 10)
[01:06:47 -306149.246828] SLOW spr round 6 (radius: 5)
[01:11:07 -306149.246754] SLOW spr round 7 (radius: 10)
[01:15:37 -306149.246685] SLOW spr round 8 (radius: 15)
[01:22:30 -306149.063275] SLOW spr round 9 (radius: 5)
[01:26:57 -306149.062487] SLOW spr round 10 (radius: 10)
[01:31:35 -306149.061916] SLOW spr round 11 (radius: 15)
[01:38:28 -306149.061847] SLOW spr round 12 (radius: 20)
[01:50:06 -306149.061778] SLOW spr round 13 (radius: 25)
[02:04:49 -306147.023401] SLOW spr round 14 (radius: 5)
[02:09:28 -306146.567610] SLOW spr round 15 (radius: 5)
[02:13:32 -306146.567586] SLOW spr round 16 (radius: 10)
[02:17:45 -306146.567574] SLOW spr round 17 (radius: 15)
[02:24:58 -306146.567567] SLOW spr round 18 (radius: 20)
[02:36:12 -306146.567562] SLOW spr round 19 (radius: 25)
[02:50:58 -306146.567558] Model parameter optimization (eps = 0.100000)

[02:51:16] ML tree search #1, logLikelihood: -306146.472058

[02:51:16 -949136.284993] Initial branch length optimization
[02:51:25 -811054.042067] Model parameter optimization (eps = 10.000000)
[02:52:24 -805247.779357] AUTODETECT spr round 1 (radius: 5)
[02:55:48 -576093.083968] AUTODETECT spr round 2 (radius: 10)
[02:59:32 -453432.605126] AUTODETECT spr round 3 (radius: 15)
[03:03:43 -370634.233821] AUTODETECT spr round 4 (radius: 20)
[03:08:10 -343356.857458] AUTODETECT spr round 5 (radius: 25)
[03:14:07 -338555.819426] SPR radius for FAST iterations: 25 (autodetect)
[03:14:07 -338555.819426] Model parameter optimization (eps = 3.000000)
[03:14:59 -337525.538083] FAST spr round 1 (radius: 25)
[03:21:30 -307549.343164] FAST spr round 2 (radius: 25)
[03:26:14 -306390.929874] FAST spr round 3 (radius: 25)
[03:30:01 -306257.071666] FAST spr round 4 (radius: 25)
[03:33:30 -306240.676741] FAST spr round 5 (radius: 25)
[03:36:22 -306240.654367] Model parameter optimization (eps = 1.000000)
[03:36:47 -306229.283805] SLOW spr round 1 (radius: 5)
[03:40:25 -306133.754005] SLOW spr round 2 (radius: 5)
[03:44:01 -306127.741261] SLOW spr round 3 (radius: 5)
[03:47:35 -306125.349144] SLOW spr round 4 (radius: 5)
[03:51:07 -306125.026397] SLOW spr round 5 (radius: 5)
[03:54:34 -306125.026255] SLOW spr round 6 (radius: 10)
[03:58:24 -306115.791553] SLOW spr round 7 (radius: 5)
[04:02:54 -306110.721139] SLOW spr round 8 (radius: 5)
[04:06:45 -306110.719977] SLOW spr round 9 (radius: 10)
[04:10:46 -306110.719623] SLOW spr round 10 (radius: 15)
[04:17:31 -306110.719466] SLOW spr round 11 (radius: 20)
[04:28:23 -306109.329145] SLOW spr round 12 (radius: 5)
[04:33:03 -306109.102051] SLOW spr round 13 (radius: 5)
[04:37:08 -306109.101618] SLOW spr round 14 (radius: 10)
[04:41:20 -306109.101590] SLOW spr round 15 (radius: 15)
[04:48:00 -306109.101576] SLOW spr round 16 (radius: 20)
[04:58:54 -306109.101563] SLOW spr round 17 (radius: 25)
[05:14:00 -306109.101551] Model parameter optimization (eps = 0.100000)

[05:14:13] ML tree search #2, logLikelihood: -306108.971518

[05:14:13 -938231.727075] Initial branch length optimization
[05:14:22 -802441.947019] Model parameter optimization (eps = 10.000000)
[05:15:41 -796373.308862] AUTODETECT spr round 1 (radius: 5)
[05:19:05 -565240.494163] AUTODETECT spr round 2 (radius: 10)
[05:22:42 -434160.417248] AUTODETECT spr round 3 (radius: 15)
[05:26:48 -377164.740324] AUTODETECT spr round 4 (radius: 20)
[05:31:47 -341096.375690] AUTODETECT spr round 5 (radius: 25)
[05:38:16 -336748.094922] SPR radius for FAST iterations: 25 (autodetect)
[05:38:16 -336748.094922] Model parameter optimization (eps = 3.000000)
[05:39:07 -335808.033887] FAST spr round 1 (radius: 25)
[05:45:23 -307446.517090] FAST spr round 2 (radius: 25)
[05:49:46 -306361.938541] FAST spr round 3 (radius: 25)
[05:53:21 -306257.770860] FAST spr round 4 (radius: 25)
[05:56:34 -306250.564117] FAST spr round 5 (radius: 25)
[05:59:19 -306250.527959] Model parameter optimization (eps = 1.000000)
[05:59:49 -306231.642938] SLOW spr round 1 (radius: 5)
[06:03:36 -306155.266026] SLOW spr round 2 (radius: 5)
[06:07:21 -306152.610313] SLOW spr round 3 (radius: 5)
[06:10:54 -306152.257304] SLOW spr round 4 (radius: 5)
[06:14:29 -306152.257246] SLOW spr round 5 (radius: 10)
[06:18:20 -306144.565078] SLOW spr round 6 (radius: 5)
[06:22:45 -306143.090660] SLOW spr round 7 (radius: 5)
[06:26:35 -306143.088096] SLOW spr round 8 (radius: 10)
[06:30:29 -306143.087417] SLOW spr round 9 (radius: 15)
[06:37:08 -306137.846450] SLOW spr round 10 (radius: 5)
[06:41:36 -306134.405226] SLOW spr round 11 (radius: 5)
[06:45:38 -306134.403602] SLOW spr round 12 (radius: 10)
[06:49:42 -306134.403469] SLOW spr round 13 (radius: 15)
[06:56:14 -306134.403446] SLOW spr round 14 (radius: 20)
[07:06:43 -306134.216180] SLOW spr round 15 (radius: 5)
[07:11:18 -306134.215636] SLOW spr round 16 (radius: 10)
[07:16:06 -306134.215504] SLOW spr round 17 (radius: 15)
[07:22:34 -306134.215492] SLOW spr round 18 (radius: 20)
[07:33:08 -306134.215481] SLOW spr round 19 (radius: 25)
[07:48:06 -306134.215470] Model parameter optimization (eps = 0.100000)

[07:48:22] ML tree search #3, logLikelihood: -306134.045374

[07:48:22 -942836.829249] Initial branch length optimization
[07:48:31 -807116.387287] Model parameter optimization (eps = 10.000000)
[07:49:51 -800994.089225] AUTODETECT spr round 1 (radius: 5)
[07:53:14 -569108.735262] AUTODETECT spr round 2 (radius: 10)
[07:56:54 -412193.645792] AUTODETECT spr round 3 (radius: 15)
[08:00:51 -361748.373166] AUTODETECT spr round 4 (radius: 20)
[08:05:49 -342022.733900] AUTODETECT spr round 5 (radius: 25)
[08:12:16 -337017.040104] SPR radius for FAST iterations: 25 (autodetect)
[08:12:17 -337017.040104] Model parameter optimization (eps = 3.000000)
[08:13:13 -336004.057932] FAST spr round 1 (radius: 25)
[08:19:17 -307651.274672] FAST spr round 2 (radius: 25)
[08:23:47 -306415.511598] FAST spr round 3 (radius: 25)
[08:27:24 -306289.961895] FAST spr round 4 (radius: 25)
[08:30:34 -306269.111352] FAST spr round 5 (radius: 25)
[08:33:22 -306263.590366] FAST spr round 6 (radius: 25)
[08:36:01 -306263.589064] Model parameter optimization (eps = 1.000000)
[08:36:26 -306252.479766] SLOW spr round 1 (radius: 5)
[08:40:06 -306191.587238] SLOW spr round 2 (radius: 5)
[08:43:39 -306184.399217] SLOW spr round 3 (radius: 5)
[08:47:14 -306183.299859] SLOW spr round 4 (radius: 5)
[08:50:39 -306183.299825] SLOW spr round 5 (radius: 10)
[08:54:33 -306172.497083] SLOW spr round 6 (radius: 5)
[08:58:50 -306169.223227] SLOW spr round 7 (radius: 5)
[09:02:38 -306169.222955] SLOW spr round 8 (radius: 10)
[09:06:39 -306166.780098] SLOW spr round 9 (radius: 5)
[09:10:53 -306165.987114] SLOW spr round 10 (radius: 5)
[09:14:45 -306165.983780] SLOW spr round 11 (radius: 10)
[09:18:42 -306165.982328] SLOW spr round 12 (radius: 15)
[09:25:50 -306165.981674] SLOW spr round 13 (radius: 20)
[09:37:12 -306163.988973] SLOW spr round 14 (radius: 5)
[09:41:50 -306163.983280] SLOW spr round 15 (radius: 10)
[09:46:43 -306163.982904] SLOW spr round 16 (radius: 15)
[09:53:31 -306163.982838] SLOW spr round 17 (radius: 20)
[10:05:00 -306163.982801] SLOW spr round 18 (radius: 25)
[10:20:39 -306163.982773] Model parameter optimization (eps = 0.100000)

[10:20:47] ML tree search #4, logLikelihood: -306163.928087

[10:20:47 -949451.438927] Initial branch length optimization
[10:20:55 -808978.548886] Model parameter optimization (eps = 10.000000)
[10:22:28 -803265.374490] AUTODETECT spr round 1 (radius: 5)
[10:25:52 -574159.915328] AUTODETECT spr round 2 (radius: 10)
[10:29:31 -431293.999609] AUTODETECT spr round 3 (radius: 15)
[10:33:51 -376116.571998] AUTODETECT spr round 4 (radius: 20)
[10:38:49 -345411.157510] AUTODETECT spr round 5 (radius: 25)
[10:44:22 -336669.552933] SPR radius for FAST iterations: 25 (autodetect)
[10:44:22 -336669.552933] Model parameter optimization (eps = 3.000000)
[10:45:19 -335596.922115] FAST spr round 1 (radius: 25)
[10:51:40 -307243.207881] FAST spr round 2 (radius: 25)
[10:56:17 -306379.299050] FAST spr round 3 (radius: 25)
[11:00:05 -306263.541854] FAST spr round 4 (radius: 25)
[11:03:22 -306241.934023] FAST spr round 5 (radius: 25)
[11:06:11 -306241.900340] Model parameter optimization (eps = 1.000000)
[11:06:35 -306230.045038] SLOW spr round 1 (radius: 5)
[11:10:30 -306171.613354] SLOW spr round 2 (radius: 5)
[11:14:05 -306165.901241] SLOW spr round 3 (radius: 5)
[11:17:38 -306163.427061] SLOW spr round 4 (radius: 5)
[11:21:05 -306161.613980] SLOW spr round 5 (radius: 5)
[11:24:32 -306161.430158] SLOW spr round 6 (radius: 5)
[11:27:59 -306161.428618] SLOW spr round 7 (radius: 10)
[11:31:54 -306147.236801] SLOW spr round 8 (radius: 5)
[11:36:23 -306140.758875] SLOW spr round 9 (radius: 5)
[11:40:11 -306140.755240] SLOW spr round 10 (radius: 10)
[11:44:08 -306134.953120] SLOW spr round 11 (radius: 5)
[11:48:19 -306134.952801] SLOW spr round 12 (radius: 10)
[11:52:36 -306134.952763] SLOW spr round 13 (radius: 15)
[11:59:27 -306134.952752] SLOW spr round 14 (radius: 20)
[12:10:44 -306132.935980] SLOW spr round 15 (radius: 5)
[12:15:18 -306132.478823] SLOW spr round 16 (radius: 5)
[12:19:18 -306132.478816] SLOW spr round 17 (radius: 10)
[12:23:31 -306132.478811] SLOW spr round 18 (radius: 15)
[12:30:24 -306132.478808] SLOW spr round 19 (radius: 20)
[12:41:29 -306132.478804] SLOW spr round 20 (radius: 25)
[12:57:45 -306132.274779] SLOW spr round 21 (radius: 5)
[13:02:23 -306132.273847] SLOW spr round 22 (radius: 10)
[13:07:19 -306132.273792] SLOW spr round 23 (radius: 15)
[13:14:07 -306132.273789] SLOW spr round 24 (radius: 20)
[13:25:12 -306132.273787] SLOW spr round 25 (radius: 25)
[13:41:05 -306132.273784] Model parameter optimization (eps = 0.100000)

[13:41:16] ML tree search #5, logLikelihood: -306132.252642

[13:41:17 -940337.853653] Initial branch length optimization
[13:41:25 -803533.863330] Model parameter optimization (eps = 10.000000)
[13:42:33 -797788.423395] AUTODETECT spr round 1 (radius: 5)
[13:45:53 -569062.381286] AUTODETECT spr round 2 (radius: 10)
[13:49:35 -420594.234283] AUTODETECT spr round 3 (radius: 15)
[13:53:36 -351510.576728] AUTODETECT spr round 4 (radius: 20)
[13:58:31 -339562.071234] AUTODETECT spr round 5 (radius: 25)
[14:04:02 -336828.342268] SPR radius for FAST iterations: 25 (autodetect)
[14:04:02 -336828.342268] Model parameter optimization (eps = 3.000000)
[14:05:01 -335795.187280] FAST spr round 1 (radius: 25)
[14:11:13 -308172.259995] FAST spr round 2 (radius: 25)
[14:15:35 -306501.012027] FAST spr round 3 (radius: 25)
[14:19:08 -306261.515305] FAST spr round 4 (radius: 25)
[14:22:17 -306247.508624] FAST spr round 5 (radius: 25)
[14:25:09 -306228.820152] FAST spr round 6 (radius: 25)
[14:27:50 -306228.820007] Model parameter optimization (eps = 1.000000)
[14:28:12 -306218.228139] SLOW spr round 1 (radius: 5)
[14:31:46 -306146.169684] SLOW spr round 2 (radius: 5)
[14:35:27 -306145.166634] SLOW spr round 3 (radius: 5)
[14:39:05 -306142.867037] SLOW spr round 4 (radius: 5)
[14:42:34 -306142.865586] SLOW spr round 5 (radius: 10)
[14:46:24 -306135.344146] SLOW spr round 6 (radius: 5)
[14:50:45 -306128.781530] SLOW spr round 7 (radius: 5)
[14:54:40 -306124.646007] SLOW spr round 8 (radius: 5)
[14:58:18 -306120.334859] SLOW spr round 9 (radius: 5)
[15:01:47 -306120.334181] SLOW spr round 10 (radius: 10)
[15:05:33 -306120.334162] SLOW spr round 11 (radius: 15)
[15:12:40 -306120.147607] SLOW spr round 12 (radius: 5)
[15:17:11 -306120.147599] SLOW spr round 13 (radius: 10)
[15:21:40 -306120.147484] SLOW spr round 14 (radius: 15)
[15:28:11 -306120.147477] SLOW spr round 15 (radius: 20)
[15:39:39 -306120.147471] SLOW spr round 16 (radius: 25)
[15:55:20 -306120.147464] Model parameter optimization (eps = 0.100000)

[15:55:30] ML tree search #6, logLikelihood: -306120.092465

[15:55:30 -940952.169826] Initial branch length optimization
[15:55:39 -804450.692614] Model parameter optimization (eps = 10.000000)
[15:56:52 -798160.018764] AUTODETECT spr round 1 (radius: 5)
[16:00:14 -567443.763422] AUTODETECT spr round 2 (radius: 10)
[16:03:55 -420625.727508] AUTODETECT spr round 3 (radius: 15)
[16:07:55 -359334.063379] AUTODETECT spr round 4 (radius: 20)
[16:12:28 -334462.674583] AUTODETECT spr round 5 (radius: 25)
[16:18:22 -332159.967675] SPR radius for FAST iterations: 25 (autodetect)
[16:18:22 -332159.967675] Model parameter optimization (eps = 3.000000)
[16:19:18 -331243.806225] FAST spr round 1 (radius: 25)
[16:25:41 -307156.251338] FAST spr round 2 (radius: 25)
[16:30:23 -306412.050227] FAST spr round 3 (radius: 25)
[16:33:51 -306322.224404] FAST spr round 4 (radius: 25)
[16:36:55 -306310.509492] FAST spr round 5 (radius: 25)
[16:39:39 -306310.509305] Model parameter optimization (eps = 1.000000)
[16:40:06 -306296.484297] SLOW spr round 1 (radius: 5)
[16:43:59 -306215.179974] SLOW spr round 2 (radius: 5)
[16:47:45 -306198.315269] SLOW spr round 3 (radius: 5)
[16:51:18 -306196.585687] SLOW spr round 4 (radius: 5)
[16:54:51 -306191.380453] SLOW spr round 5 (radius: 5)
[16:58:26 -306191.126121] SLOW spr round 6 (radius: 5)
[17:01:50 -306191.122447] SLOW spr round 7 (radius: 10)
[17:05:45 -306174.303717] SLOW spr round 8 (radius: 5)
[17:10:05 -306167.922813] SLOW spr round 9 (radius: 5)
[17:13:55 -306167.071315] SLOW spr round 10 (radius: 5)
[17:17:29 -306167.070256] SLOW spr round 11 (radius: 10)
[17:21:18 -306167.070048] SLOW spr round 12 (radius: 15)
[17:28:14 -306165.883663] SLOW spr round 13 (radius: 5)
[17:32:50 -306165.770797] SLOW spr round 14 (radius: 5)
[17:36:46 -306165.768715] SLOW spr round 15 (radius: 10)
[17:40:55 -306165.128067] SLOW spr round 16 (radius: 5)
[17:45:05 -306165.127785] SLOW spr round 17 (radius: 10)
[17:49:21 -306165.127706] SLOW spr round 18 (radius: 15)
[17:56:04 -306164.588807] SLOW spr round 19 (radius: 5)
[18:00:32 -306164.587157] SLOW spr round 20 (radius: 10)
[18:05:10 -306164.587133] SLOW spr round 21 (radius: 15)
[18:11:53 -306164.587113] SLOW spr round 22 (radius: 20)
[18:23:01 -306164.587092] SLOW spr round 23 (radius: 25)
[18:39:07 -306164.587071] Model parameter optimization (eps = 0.100000)

[18:39:20] ML tree search #7, logLikelihood: -306164.463166

[18:39:20 -939543.999026] Initial branch length optimization
[18:39:27 -798990.891262] Model parameter optimization (eps = 10.000000)
[18:40:43 -792984.589691] AUTODETECT spr round 1 (radius: 5)
[18:44:11 -571695.033008] AUTODETECT spr round 2 (radius: 10)
[18:47:46 -443691.029120] AUTODETECT spr round 3 (radius: 15)
[18:51:53 -365842.439433] AUTODETECT spr round 4 (radius: 20)
[18:56:30 -344473.756236] AUTODETECT spr round 5 (radius: 25)
[19:02:39 -337824.990158] SPR radius for FAST iterations: 25 (autodetect)
[19:02:39 -337824.990158] Model parameter optimization (eps = 3.000000)
[19:03:35 -336885.284262] FAST spr round 1 (radius: 25)
[19:10:10 -307628.914055] FAST spr round 2 (radius: 25)
[19:14:39 -306342.442144] FAST spr round 3 (radius: 25)
[19:18:25 -306247.534693] FAST spr round 4 (radius: 25)
[19:21:25 -306241.145041] FAST spr round 5 (radius: 25)
[19:24:12 -306239.984300] FAST spr round 6 (radius: 25)
[19:26:52 -306239.981091] Model parameter optimization (eps = 1.000000)
[19:27:15 -306227.329843] SLOW spr round 1 (radius: 5)
[19:30:52 -306178.442313] SLOW spr round 2 (radius: 5)
[19:34:29 -306164.963101] SLOW spr round 3 (radius: 5)
[19:38:03 -306163.964421] SLOW spr round 4 (radius: 5)
[19:41:35 -306163.963381] SLOW spr round 5 (radius: 10)
[19:45:27 -306154.456096] SLOW spr round 6 (radius: 5)
[19:49:56 -306153.739366] SLOW spr round 7 (radius: 5)
[19:53:44 -306153.739221] SLOW spr round 8 (radius: 10)
[19:57:40 -306153.739122] SLOW spr round 9 (radius: 15)
[20:04:34 -306153.739048] SLOW spr round 10 (radius: 20)
[20:16:16 -306153.738979] SLOW spr round 11 (radius: 25)
[20:33:35 -306153.738913] Model parameter optimization (eps = 0.100000)

[20:33:49] ML tree search #8, logLikelihood: -306153.563907

[20:33:50 -951560.083524] Initial branch length optimization
[20:34:00 -814079.875934] Model parameter optimization (eps = 10.000000)
[20:35:23 -807833.686904] AUTODETECT spr round 1 (radius: 5)
[20:38:46 -573784.783015] AUTODETECT spr round 2 (radius: 10)
[20:42:35 -448045.025486] AUTODETECT spr round 3 (radius: 15)
[20:46:46 -385438.300309] AUTODETECT spr round 4 (radius: 20)
[20:51:30 -341035.264917] AUTODETECT spr round 5 (radius: 25)
[20:57:27 -335573.729946] SPR radius for FAST iterations: 25 (autodetect)
[20:57:27 -335573.729946] Model parameter optimization (eps = 3.000000)
[20:58:18 -334688.935298] FAST spr round 1 (radius: 25)
[21:04:14 -308096.374820] FAST spr round 2 (radius: 25)
[21:08:42 -306325.839396] FAST spr round 3 (radius: 25)
[21:12:28 -306237.615876] FAST spr round 4 (radius: 25)
[21:15:41 -306229.946958] FAST spr round 5 (radius: 25)
[21:18:25 -306229.152372] FAST spr round 6 (radius: 25)
[21:21:02 -306229.152343] Model parameter optimization (eps = 1.000000)
[21:21:32 -306217.629813] SLOW spr round 1 (radius: 5)
[21:25:14 -306154.057659] SLOW spr round 2 (radius: 5)
[21:28:49 -306144.508914] SLOW spr round 3 (radius: 5)
[21:32:20 -306143.242813] SLOW spr round 4 (radius: 5)
[21:35:50 -306143.235014] SLOW spr round 5 (radius: 10)
[21:39:33 -306143.166053] SLOW spr round 6 (radius: 15)
[21:46:41 -306140.715241] SLOW spr round 7 (radius: 5)
[21:51:05 -306140.713982] SLOW spr round 8 (radius: 10)
[21:55:34 -306140.713348] SLOW spr round 9 (radius: 15)
[22:02:10 -306140.713225] SLOW spr round 10 (radius: 20)
[22:13:31 -306140.529011] SLOW spr round 11 (radius: 5)
[22:18:04 -306140.527957] SLOW spr round 12 (radius: 10)
[22:22:44 -306140.527836] SLOW spr round 13 (radius: 15)
[22:29:21 -306140.527718] SLOW spr round 14 (radius: 20)
[22:40:41 -306140.527599] SLOW spr round 15 (radius: 25)
[22:55:49 -306140.527480] Model parameter optimization (eps = 0.100000)

[22:56:00] ML tree search #9, logLikelihood: -306140.442266

[22:56:00 -946870.356377] Initial branch length optimization
[22:56:08 -808011.767075] Model parameter optimization (eps = 10.000000)
[22:57:38 -802224.931481] AUTODETECT spr round 1 (radius: 5)
[23:00:57 -569174.584311] AUTODETECT spr round 2 (radius: 10)
[23:04:37 -433441.586924] AUTODETECT spr round 3 (radius: 15)
[23:08:37 -374363.010537] AUTODETECT spr round 4 (radius: 20)
[23:14:01 -342981.501668] AUTODETECT spr round 5 (radius: 25)
[23:20:50 -337222.572533] SPR radius for FAST iterations: 25 (autodetect)
[23:20:50 -337222.572533] Model parameter optimization (eps = 3.000000)
[23:21:44 -336241.793408] FAST spr round 1 (radius: 25)
[23:28:36 -307698.777985] FAST spr round 2 (radius: 25)
[23:33:04 -306309.334806] FAST spr round 3 (radius: 25)
[23:36:48 -306204.905612] FAST spr round 4 (radius: 25)
[23:40:05 -306186.819496] FAST spr round 5 (radius: 25)
[23:43:10 -306181.360955] FAST spr round 6 (radius: 25)
[23:45:53 -306178.363467] FAST spr round 7 (radius: 25)
[23:48:36 -306178.363389] Model parameter optimization (eps = 1.000000)
[23:48:56 -306167.027053] SLOW spr round 1 (radius: 5)
[23:52:34 -306118.048013] SLOW spr round 2 (radius: 5)
[23:56:07 -306117.368108] SLOW spr round 3 (radius: 5)
[23:59:34 -306117.362237] SLOW spr round 4 (radius: 10)
[24:03:17 -306117.144685] SLOW spr round 5 (radius: 5)
[24:07:40 -306117.144379] SLOW spr round 6 (radius: 10)
[24:11:57 -306117.144362] SLOW spr round 7 (radius: 15)
[24:18:19 -306113.817451] SLOW spr round 8 (radius: 5)
[24:22:50 -306113.811048] SLOW spr round 9 (radius: 10)
[24:27:20 -306113.809675] SLOW spr round 10 (radius: 15)
[24:33:32 -306113.809662] SLOW spr round 11 (radius: 20)
[24:44:17 -306113.809651] SLOW spr round 12 (radius: 25)
[24:58:29 -306113.809640] Model parameter optimization (eps = 0.100000)

[24:58:40] ML tree search #10, logLikelihood: -306113.794237

[24:58:40 -944971.022219] Initial branch length optimization
[24:58:49 -808934.158808] Model parameter optimization (eps = 10.000000)
[24:59:42 -802952.371753] AUTODETECT spr round 1 (radius: 5)
[25:03:09 -571271.358875] AUTODETECT spr round 2 (radius: 10)
[25:06:50 -439141.583602] AUTODETECT spr round 3 (radius: 15)
[25:11:02 -366088.302035] AUTODETECT spr round 4 (radius: 20)
[25:15:34 -340761.810347] AUTODETECT spr round 5 (radius: 25)
[25:21:06 -336513.879533] SPR radius for FAST iterations: 25 (autodetect)
[25:21:06 -336513.879533] Model parameter optimization (eps = 3.000000)
[25:22:28 -335462.583994] FAST spr round 1 (radius: 25)
[25:29:08 -307350.835161] FAST spr round 2 (radius: 25)
[25:33:49 -306337.627475] FAST spr round 3 (radius: 25)
[25:37:23 -306244.911476] FAST spr round 4 (radius: 25)
[25:40:31 -306238.938920] FAST spr round 5 (radius: 25)
[25:43:17 -306237.502309] FAST spr round 6 (radius: 25)
[25:45:54 -306237.500575] Model parameter optimization (eps = 1.000000)
[25:46:21 -306224.167137] SLOW spr round 1 (radius: 5)
[25:50:07 -306167.784196] SLOW spr round 2 (radius: 5)
[25:53:49 -306155.067094] SLOW spr round 3 (radius: 5)
[25:57:19 -306153.544549] SLOW spr round 4 (radius: 5)
[26:00:48 -306152.870394] SLOW spr round 5 (radius: 5)
[26:04:12 -306152.869808] SLOW spr round 6 (radius: 10)
[26:07:57 -306147.305586] SLOW spr round 7 (radius: 5)
[26:12:18 -306146.049245] SLOW spr round 8 (radius: 5)
[26:16:14 -306146.048738] SLOW spr round 9 (radius: 10)
[26:20:08 -306146.048715] SLOW spr round 10 (radius: 15)
[26:27:13 -306144.088962] SLOW spr round 11 (radius: 5)
[26:31:45 -306144.088138] SLOW spr round 12 (radius: 10)
[26:36:24 -306143.545503] SLOW spr round 13 (radius: 5)
[26:40:27 -306143.545408] SLOW spr round 14 (radius: 10)
[26:44:38 -306143.545389] SLOW spr round 15 (radius: 15)
[26:51:42 -306143.103442] SLOW spr round 16 (radius: 5)
[26:56:12 -306143.103425] SLOW spr round 17 (radius: 10)
[27:00:41 -306143.103409] SLOW spr round 18 (radius: 15)
[27:07:30 -306143.103394] SLOW spr round 19 (radius: 20)
[27:19:43 -306139.231621] SLOW spr round 20 (radius: 5)
[27:24:14 -306138.614685] SLOW spr round 21 (radius: 5)
[27:28:13 -306138.614579] SLOW spr round 22 (radius: 10)
[27:32:23 -306138.614541] SLOW spr round 23 (radius: 15)
[27:39:28 -306138.614518] SLOW spr round 24 (radius: 20)
[27:51:26 -306136.316739] SLOW spr round 25 (radius: 5)
[27:56:04 -306136.316230] SLOW spr round 26 (radius: 10)
[28:00:47 -306135.097461] SLOW spr round 27 (radius: 5)
[28:04:55 -306135.094170] SLOW spr round 28 (radius: 10)
[28:09:04 -306135.094020] SLOW spr round 29 (radius: 15)
[28:16:05 -306135.093998] SLOW spr round 30 (radius: 20)
[28:28:02 -306135.093981] SLOW spr round 31 (radius: 25)
[28:44:10 -306134.840092] SLOW spr round 32 (radius: 5)
[28:48:55 -306134.804491] SLOW spr round 33 (radius: 10)
[28:53:57 -306134.804484] SLOW spr round 34 (radius: 15)
[29:00:40 -306134.804478] SLOW spr round 35 (radius: 20)
[29:12:34 -306134.804472] SLOW spr round 36 (radius: 25)
[29:28:55 -306134.804466] Model parameter optimization (eps = 0.100000)

[29:29:10] ML tree search #11, logLikelihood: -306134.610103

[29:29:10 -946543.758167] Initial branch length optimization
[29:29:23 -809832.706283] Model parameter optimization (eps = 10.000000)
[29:30:17 -803647.376928] AUTODETECT spr round 1 (radius: 5)
[29:33:38 -563978.366687] AUTODETECT spr round 2 (radius: 10)
[29:37:15 -446811.835774] AUTODETECT spr round 3 (radius: 15)
[29:41:17 -373916.621560] AUTODETECT spr round 4 (radius: 20)
[29:46:12 -341515.717044] AUTODETECT spr round 5 (radius: 25)
[29:52:28 -334759.553358] SPR radius for FAST iterations: 25 (autodetect)
[29:52:28 -334759.553358] Model parameter optimization (eps = 3.000000)
[29:53:30 -333752.082775] FAST spr round 1 (radius: 25)
[30:00:02 -307442.100032] FAST spr round 2 (radius: 25)
[30:04:45 -306330.108559] FAST spr round 3 (radius: 25)
[30:08:16 -306269.632431] FAST spr round 4 (radius: 25)
[30:11:21 -306260.525342] FAST spr round 5 (radius: 25)
[30:14:05 -306260.521291] Model parameter optimization (eps = 1.000000)
[30:14:37 -306247.276986] SLOW spr round 1 (radius: 5)
[30:18:15 -306165.946989] SLOW spr round 2 (radius: 5)
[30:21:50 -306151.963246] SLOW spr round 3 (radius: 5)
[30:25:22 -306145.097261] SLOW spr round 4 (radius: 5)
[30:28:47 -306144.353485] SLOW spr round 5 (radius: 5)
[30:32:10 -306144.353076] SLOW spr round 6 (radius: 10)
[30:36:00 -306142.277183] SLOW spr round 7 (radius: 5)
[30:40:14 -306142.275916] SLOW spr round 8 (radius: 10)
[30:44:41 -306142.275616] SLOW spr round 9 (radius: 15)
[30:51:23 -306141.689093] SLOW spr round 10 (radius: 5)
[30:55:50 -306141.657189] SLOW spr round 11 (radius: 10)
[31:00:23 -306141.655141] SLOW spr round 12 (radius: 15)
[31:07:01 -306141.653648] SLOW spr round 13 (radius: 20)
[31:18:33 -306141.468454] SLOW spr round 14 (radius: 5)
[31:23:01 -306141.467509] SLOW spr round 15 (radius: 10)
[31:27:46 -306141.467008] SLOW spr round 16 (radius: 15)
[31:34:21 -306141.466644] SLOW spr round 17 (radius: 20)
[31:45:47 -306141.466377] SLOW spr round 18 (radius: 25)
[32:01:07 -306141.466180] Model parameter optimization (eps = 0.100000)

[32:01:23] ML tree search #12, logLikelihood: -306141.352696

[32:01:23 -943779.888219] Initial branch length optimization
[32:01:31 -805113.012232] Model parameter optimization (eps = 10.000000)
[32:02:26 -799309.998804] AUTODETECT spr round 1 (radius: 5)
[32:05:49 -578646.238799] AUTODETECT spr round 2 (radius: 10)
[32:09:32 -437254.332638] AUTODETECT spr round 3 (radius: 15)
[32:13:54 -367535.789938] AUTODETECT spr round 4 (radius: 20)
[32:18:42 -337510.639552] AUTODETECT spr round 5 (radius: 25)
[32:25:15 -329749.536813] SPR radius for FAST iterations: 25 (autodetect)
[32:25:15 -329749.536813] Model parameter optimization (eps = 3.000000)
[32:26:13 -328793.719827] FAST spr round 1 (radius: 25)
[32:32:29 -307604.349287] FAST spr round 2 (radius: 25)
[32:36:58 -306406.716130] FAST spr round 3 (radius: 25)
[32:40:40 -306305.015159] FAST spr round 4 (radius: 25)
[32:43:52 -306294.420830] FAST spr round 5 (radius: 25)
[32:46:42 -306293.100759] FAST spr round 6 (radius: 25)
[32:49:23 -306293.070929] Model parameter optimization (eps = 1.000000)
[32:49:47 -306283.919323] SLOW spr round 1 (radius: 5)
[32:53:43 -306184.109980] SLOW spr round 2 (radius: 5)
[32:57:21 -306172.715446] SLOW spr round 3 (radius: 5)
[33:01:02 -306170.190224] SLOW spr round 4 (radius: 5)
[33:04:38 -306165.834645] SLOW spr round 5 (radius: 5)
[33:08:09 -306164.099133] SLOW spr round 6 (radius: 5)
[33:11:34 -306164.098831] SLOW spr round 7 (radius: 10)
[33:15:21 -306160.173916] SLOW spr round 8 (radius: 5)
[33:19:39 -306160.147848] SLOW spr round 9 (radius: 10)
[33:24:05 -306160.147827] SLOW spr round 10 (radius: 15)
[33:31:00 -306155.085250] SLOW spr round 11 (radius: 5)
[33:35:23 -306154.857255] SLOW spr round 12 (radius: 5)
[33:39:16 -306154.846908] SLOW spr round 13 (radius: 10)
[33:43:15 -306154.846097] SLOW spr round 14 (radius: 15)
[33:50:10 -306154.845653] SLOW spr round 15 (radius: 20)
[34:01:57 -306151.079003] SLOW spr round 16 (radius: 5)
[34:06:28 -306149.117777] SLOW spr round 17 (radius: 5)
[34:10:25 -306149.117762] SLOW spr round 18 (radius: 10)
[34:14:28 -306149.117760] SLOW spr round 19 (radius: 15)
[34:21:21 -306147.156084] SLOW spr round 20 (radius: 5)
[34:25:52 -306146.908160] SLOW spr round 21 (radius: 5)
[34:29:47 -306146.908084] SLOW spr round 22 (radius: 10)
[34:33:51 -306146.908081] SLOW spr round 23 (radius: 15)
[34:40:42 -306146.908079] SLOW spr round 24 (radius: 20)
[34:52:16 -306146.908078] SLOW spr round 25 (radius: 25)
[35:07:54 -306146.908076] Model parameter optimization (eps = 0.100000)

[35:08:08] ML tree search #13, logLikelihood: -306146.723778

[35:08:08 -952112.615147] Initial branch length optimization
[35:08:18 -810296.062413] Model parameter optimization (eps = 10.000000)
[35:09:36 -805041.867788] AUTODETECT spr round 1 (radius: 5)
[35:13:00 -583308.159488] AUTODETECT spr round 2 (radius: 10)
[35:16:42 -433865.187387] AUTODETECT spr round 3 (radius: 15)
[35:20:46 -361553.865775] AUTODETECT spr round 4 (radius: 20)
[35:25:44 -343035.508414] AUTODETECT spr round 5 (radius: 25)
[35:31:22 -337876.555148] SPR radius for FAST iterations: 25 (autodetect)
[35:31:22 -337876.555148] Model parameter optimization (eps = 3.000000)
[35:32:19 -336760.822789] FAST spr round 1 (radius: 25)
[35:38:18 -307369.818477] FAST spr round 2 (radius: 25)
[35:42:45 -306450.084775] FAST spr round 3 (radius: 25)
[35:46:23 -306290.060246] FAST spr round 4 (radius: 25)
[35:49:33 -306273.204534] FAST spr round 5 (radius: 25)
[35:52:24 -306266.779731] FAST spr round 6 (radius: 25)
[35:55:09 -306265.909984] FAST spr round 7 (radius: 25)
[35:57:46 -306263.052128] FAST spr round 8 (radius: 25)
[36:00:20 -306261.469746] FAST spr round 9 (radius: 25)
[36:02:53 -306261.468905] Model parameter optimization (eps = 1.000000)
[36:03:15 -306248.236010] SLOW spr round 1 (radius: 5)
[36:06:48 -306170.171013] SLOW spr round 2 (radius: 5)
[36:10:21 -306165.845975] SLOW spr round 3 (radius: 5)
[36:13:47 -306165.829813] SLOW spr round 4 (radius: 10)
[36:17:44 -306158.395448] SLOW spr round 5 (radius: 5)
[36:22:13 -306149.480632] SLOW spr round 6 (radius: 5)
[36:26:04 -306148.556564] SLOW spr round 7 (radius: 5)
[36:29:43 -306147.087616] SLOW spr round 8 (radius: 5)
[36:33:10 -306147.085740] SLOW spr round 9 (radius: 10)
[36:37:03 -306131.631693] SLOW spr round 10 (radius: 5)
[36:41:28 -306127.350683] SLOW spr round 11 (radius: 5)
[36:45:16 -306127.349207] SLOW spr round 12 (radius: 10)
[36:49:17 -306127.348024] SLOW spr round 13 (radius: 15)
[36:56:03 -306124.762363] SLOW spr round 14 (radius: 5)
[37:00:31 -306122.044051] SLOW spr round 15 (radius: 5)
[37:04:32 -306119.816502] SLOW spr round 16 (radius: 5)
[37:08:21 -306118.973889] SLOW spr round 17 (radius: 5)
[37:12:04 -306118.805022] SLOW spr round 18 (radius: 5)
[37:15:28 -306118.803861] SLOW spr round 19 (radius: 10)
[37:19:10 -306118.803648] SLOW spr round 20 (radius: 15)
[37:26:06 -306118.803569] SLOW spr round 21 (radius: 20)
[37:37:28 -306117.967704] SLOW spr round 22 (radius: 5)
[37:41:59 -306117.961693] SLOW spr round 23 (radius: 10)
[37:46:43 -306117.961670] SLOW spr round 24 (radius: 15)
[37:53:10 -306116.725319] SLOW spr round 25 (radius: 5)
[37:57:42 -306116.719115] SLOW spr round 26 (radius: 10)
[38:02:24 -306116.718861] SLOW spr round 27 (radius: 15)
[38:08:47 -306116.718850] SLOW spr round 28 (radius: 20)
[38:20:14 -306116.718848] SLOW spr round 29 (radius: 25)
[38:35:06 -306116.718847] Model parameter optimization (eps = 0.100000)

[38:35:30] ML tree search #14, logLikelihood: -306116.328052

[38:35:30 -947152.498196] Initial branch length optimization
[38:35:38 -809147.261859] Model parameter optimization (eps = 10.000000)
[38:37:11 -804405.416446] AUTODETECT spr round 1 (radius: 5)
[38:40:32 -564007.019494] AUTODETECT spr round 2 (radius: 10)
[38:44:16 -437583.498095] AUTODETECT spr round 3 (radius: 15)
[38:48:16 -387747.575860] AUTODETECT spr round 4 (radius: 20)
[38:53:34 -353249.228833] AUTODETECT spr round 5 (radius: 25)
[39:00:01 -338687.139112] SPR radius for FAST iterations: 25 (autodetect)
[39:00:01 -338687.139112] Model parameter optimization (eps = 3.000000)
[39:00:56 -337625.130504] FAST spr round 1 (radius: 25)
[39:07:12 -308152.419210] FAST spr round 2 (radius: 25)
[39:11:31 -306420.522482] FAST spr round 3 (radius: 25)
[39:15:02 -306277.813107] FAST spr round 4 (radius: 25)
[39:18:17 -306257.853239] FAST spr round 5 (radius: 25)
[39:21:04 -306257.851813] Model parameter optimization (eps = 1.000000)
[39:21:33 -306245.504707] SLOW spr round 1 (radius: 5)
[39:25:12 -306163.260048] SLOW spr round 2 (radius: 5)
[39:28:48 -306152.965340] SLOW spr round 3 (radius: 5)
[39:32:19 -306147.922429] SLOW spr round 4 (radius: 5)
[39:35:44 -306147.920436] SLOW spr round 5 (radius: 10)
[39:39:38 -306138.009952] SLOW spr round 6 (radius: 5)
[39:44:01 -306137.309589] SLOW spr round 7 (radius: 5)
[39:47:50 -306137.308966] SLOW spr round 8 (radius: 10)
[39:51:47 -306137.308759] SLOW spr round 9 (radius: 15)
[39:58:43 -306136.583076] SLOW spr round 10 (radius: 5)
[40:03:18 -306136.573251] SLOW spr round 11 (radius: 10)
[40:08:02 -306136.572316] SLOW spr round 12 (radius: 15)
[40:14:39 -306136.572130] SLOW spr round 13 (radius: 20)
[40:26:17 -306133.514817] SLOW spr round 14 (radius: 5)
[40:30:58 -306133.509407] SLOW spr round 15 (radius: 10)
[40:35:48 -306133.507602] SLOW spr round 16 (radius: 15)
[40:42:26 -306133.507595] SLOW spr round 17 (radius: 20)
[40:54:02 -306133.507589] SLOW spr round 18 (radius: 25)
[41:09:16 -306133.507584] Model parameter optimization (eps = 0.100000)

[41:09:31] ML tree search #15, logLikelihood: -306133.385200

[41:09:32 -947430.781535] Initial branch length optimization
[41:09:52 -809436.303554] Model parameter optimization (eps = 10.000000)
[41:11:07 -804108.449631] AUTODETECT spr round 1 (radius: 5)
[41:14:27 -579905.731258] AUTODETECT spr round 2 (radius: 10)
[41:18:07 -422758.793662] AUTODETECT spr round 3 (radius: 15)
[41:22:12 -366644.285120] AUTODETECT spr round 4 (radius: 20)
[41:27:15 -339849.624039] AUTODETECT spr round 5 (radius: 25)
[41:33:28 -335371.556944] SPR radius for FAST iterations: 25 (autodetect)
[41:33:28 -335371.556944] Model parameter optimization (eps = 3.000000)
[41:34:19 -334329.821540] FAST spr round 1 (radius: 25)
[41:41:04 -307766.771200] FAST spr round 2 (radius: 25)
[41:45:55 -306358.702388] FAST spr round 3 (radius: 25)
[41:49:47 -306270.206159] FAST spr round 4 (radius: 25)
[41:53:11 -306233.038295] FAST spr round 5 (radius: 25)
[41:56:08 -306221.312627] FAST spr round 6 (radius: 25)
[41:58:54 -306220.695825] FAST spr round 7 (radius: 25)
[42:01:38 -306220.693842] Model parameter optimization (eps = 1.000000)
[42:02:00 -306207.796425] SLOW spr round 1 (radius: 5)
[42:05:46 -306156.545282] SLOW spr round 2 (radius: 5)
[42:09:26 -306150.798067] SLOW spr round 3 (radius: 5)
[42:13:06 -306141.043031] SLOW spr round 4 (radius: 5)
[42:16:36 -306140.209458] SLOW spr round 5 (radius: 5)
[42:20:01 -306140.209154] SLOW spr round 6 (radius: 10)
[42:23:56 -306130.848450] SLOW spr round 7 (radius: 5)
[42:28:23 -306114.458322] SLOW spr round 8 (radius: 5)
[42:32:20 -306110.483406] SLOW spr round 9 (radius: 5)
[42:36:03 -306110.480574] SLOW spr round 10 (radius: 10)
[42:39:53 -306110.480047] SLOW spr round 11 (radius: 15)
[42:47:04 -306110.038010] SLOW spr round 12 (radius: 5)
[42:51:34 -306110.037986] SLOW spr round 13 (radius: 10)
[42:56:06 -306110.037976] SLOW spr round 14 (radius: 15)
[43:02:56 -306110.037970] SLOW spr round 15 (radius: 20)
[43:14:21 -306110.037965] SLOW spr round 16 (radius: 25)
[43:29:34 -306108.448312] SLOW spr round 17 (radius: 5)
[43:34:23 -306107.852173] SLOW spr round 18 (radius: 5)
[43:38:26 -306107.852040] SLOW spr round 19 (radius: 10)
[43:42:38 -306107.852036] SLOW spr round 20 (radius: 15)
[43:49:34 -306107.852032] SLOW spr round 21 (radius: 20)
[44:00:55 -306107.852028] SLOW spr round 22 (radius: 25)
[44:16:20 -306107.852024] Model parameter optimization (eps = 0.100000)

[44:16:35] ML tree search #16, logLikelihood: -306107.663811

[44:16:35 -949834.466127] Initial branch length optimization
[44:16:45 -809048.691549] Model parameter optimization (eps = 10.000000)
[44:18:15 -802912.758566] AUTODETECT spr round 1 (radius: 5)
[44:21:39 -573932.161345] AUTODETECT spr round 2 (radius: 10)
[44:25:21 -436150.797076] AUTODETECT spr round 3 (radius: 15)
[44:29:47 -351316.202542] AUTODETECT spr round 4 (radius: 20)
[44:34:56 -335136.944976] AUTODETECT spr round 5 (radius: 25)
[44:40:36 -332316.250293] SPR radius for FAST iterations: 25 (autodetect)
[44:40:36 -332316.250293] Model parameter optimization (eps = 3.000000)
[44:41:41 -331328.166893] FAST spr round 1 (radius: 25)
[44:47:32 -307437.611645] FAST spr round 2 (radius: 25)
[44:52:12 -306384.696992] FAST spr round 3 (radius: 25)
[44:55:53 -306271.257080] FAST spr round 4 (radius: 25)
[44:59:11 -306248.571009] FAST spr round 5 (radius: 25)
[45:02:09 -306244.834728] FAST spr round 6 (radius: 25)
[45:04:54 -306243.140886] FAST spr round 7 (radius: 25)
[45:07:29 -306243.140817] Model parameter optimization (eps = 1.000000)
[45:07:51 -306230.221759] SLOW spr round 1 (radius: 5)
[45:11:39 -306170.519175] SLOW spr round 2 (radius: 5)
[45:15:20 -306165.314306] SLOW spr round 3 (radius: 5)
[45:18:53 -306159.428950] SLOW spr round 4 (radius: 5)
[45:22:28 -306159.239400] SLOW spr round 5 (radius: 5)
[45:25:59 -306159.239158] SLOW spr round 6 (radius: 10)
[45:29:49 -306157.183788] SLOW spr round 7 (radius: 5)
[45:34:15 -306156.201844] SLOW spr round 8 (radius: 5)
[45:38:06 -306156.200058] SLOW spr round 9 (radius: 10)
[45:42:14 -306152.456090] SLOW spr round 10 (radius: 5)
[45:46:41 -306148.196773] SLOW spr round 11 (radius: 5)
[45:50:30 -306147.559302] SLOW spr round 12 (radius: 5)
[45:54:12 -306147.555743] SLOW spr round 13 (radius: 10)
[45:58:12 -306146.654123] SLOW spr round 14 (radius: 5)
[46:02:27 -306146.100372] SLOW spr round 15 (radius: 5)
[46:06:24 -306146.099446] SLOW spr round 16 (radius: 10)
[46:10:26 -306146.099292] SLOW spr round 17 (radius: 15)
[46:17:39 -306145.757027] SLOW spr round 18 (radius: 5)
[46:22:09 -306145.755770] SLOW spr round 19 (radius: 10)
[46:27:01 -306145.755763] SLOW spr round 20 (radius: 15)
[46:33:50 -306145.755756] SLOW spr round 21 (radius: 20)
[46:45:43 -306145.229978] SLOW spr round 22 (radius: 5)
[46:50:26 -306145.183027] SLOW spr round 23 (radius: 10)
[46:55:26 -306145.182992] SLOW spr round 24 (radius: 15)
[47:02:14 -306145.182984] SLOW spr round 25 (radius: 20)
[47:14:07 -306142.068988] SLOW spr round 26 (radius: 5)
[47:18:49 -306142.033261] SLOW spr round 27 (radius: 10)
[47:23:50 -306142.033092] SLOW spr round 28 (radius: 15)
[47:30:35 -306142.033085] SLOW spr round 29 (radius: 20)
[47:42:30 -306142.033078] SLOW spr round 30 (radius: 25)
[47:57:47 -306142.033070] Model parameter optimization (eps = 0.100000)

[47:58:06] ML tree search #17, logLikelihood: -306141.739346

[47:58:06 -943656.729166] Initial branch length optimization
[47:58:14 -806739.193746] Model parameter optimization (eps = 10.000000)
[47:59:27 -800974.042353] AUTODETECT spr round 1 (radius: 5)
[48:02:50 -586746.960854] AUTODETECT spr round 2 (radius: 10)
[48:06:39 -444818.588297] AUTODETECT spr round 3 (radius: 15)
[48:11:02 -359722.888751] AUTODETECT spr round 4 (radius: 20)
[48:16:10 -342125.388481] AUTODETECT spr round 5 (radius: 25)
[48:22:04 -338183.966580] SPR radius for FAST iterations: 25 (autodetect)
[48:22:04 -338183.966580] Model parameter optimization (eps = 3.000000)
[48:23:05 -337096.326363] FAST spr round 1 (radius: 25)
[48:29:11 -308141.109755] FAST spr round 2 (radius: 25)
[48:33:38 -306376.394544] FAST spr round 3 (radius: 25)
[48:37:09 -306321.925370] FAST spr round 4 (radius: 25)
[48:40:17 -306316.364123] FAST spr round 5 (radius: 25)
[48:43:08 -306316.228610] FAST spr round 6 (radius: 25)
[48:45:53 -306316.228086] Model parameter optimization (eps = 1.000000)
[48:46:18 -306304.440916] SLOW spr round 1 (radius: 5)
[48:49:58 -306188.130686] SLOW spr round 2 (radius: 5)
[48:53:42 -306180.443387] SLOW spr round 3 (radius: 5)
[48:57:25 -306178.630662] SLOW spr round 4 (radius: 5)
[49:00:59 -306175.203902] SLOW spr round 5 (radius: 5)
[49:04:33 -306175.203499] SLOW spr round 6 (radius: 10)
[49:08:37 -306159.139851] SLOW spr round 7 (radius: 5)
[49:12:59 -306155.289279] SLOW spr round 8 (radius: 5)
[49:16:58 -306155.287612] SLOW spr round 9 (radius: 10)
[49:21:05 -306155.142902] SLOW spr round 10 (radius: 5)
[49:25:22 -306155.142609] SLOW spr round 11 (radius: 10)
[49:29:51 -306155.142508] SLOW spr round 12 (radius: 15)
[49:36:49 -306151.315019] SLOW spr round 13 (radius: 5)
[49:41:27 -306150.814657] SLOW spr round 14 (radius: 5)
[49:45:23 -306150.813963] SLOW spr round 15 (radius: 10)
[49:49:39 -306150.813763] SLOW spr round 16 (radius: 15)
[49:56:34 -306150.629750] SLOW spr round 17 (radius: 5)
[50:01:11 -306150.619972] SLOW spr round 18 (radius: 10)
[50:05:48 -306150.619971] SLOW spr round 19 (radius: 15)
[50:12:38 -306150.619970] SLOW spr round 20 (radius: 20)
[50:24:06 -306150.619969] SLOW spr round 21 (radius: 25)
[50:39:32 -306150.619968] Model parameter optimization (eps = 0.100000)

[50:39:52] ML tree search #18, logLikelihood: -306150.431004

[50:39:52 -942739.026198] Initial branch length optimization
[50:40:01 -802611.171605] Model parameter optimization (eps = 10.000000)
[50:41:14 -797399.326738] AUTODETECT spr round 1 (radius: 5)
[50:44:44 -568365.620566] AUTODETECT spr round 2 (radius: 10)
[50:48:23 -441359.345823] AUTODETECT spr round 3 (radius: 15)
[50:52:40 -370842.074263] AUTODETECT spr round 4 (radius: 20)
[50:57:30 -345413.659887] AUTODETECT spr round 5 (radius: 25)
[51:03:12 -342528.214780] SPR radius for FAST iterations: 25 (autodetect)
[51:03:12 -342528.214780] Model parameter optimization (eps = 3.000000)
[51:04:22 -341436.836173] FAST spr round 1 (radius: 25)
[51:10:32 -307155.577557] FAST spr round 2 (radius: 25)
[51:14:55 -306353.100646] FAST spr round 3 (radius: 25)
[51:18:28 -306272.386845] FAST spr round 4 (radius: 25)
[51:21:47 -306233.984598] FAST spr round 5 (radius: 25)
[51:24:41 -306231.135167] FAST spr round 6 (radius: 25)
[51:27:21 -306231.133967] Model parameter optimization (eps = 1.000000)
[51:27:41 -306218.398401] SLOW spr round 1 (radius: 5)
[51:31:22 -306161.289360] SLOW spr round 2 (radius: 5)
[51:35:05 -306152.453801] SLOW spr round 3 (radius: 5)
[51:38:42 -306146.815880] SLOW spr round 4 (radius: 5)
[51:42:22 -306144.633227] SLOW spr round 5 (radius: 5)
[51:45:55 -306144.283110] SLOW spr round 6 (radius: 5)
[51:49:19 -306144.281934] SLOW spr round 7 (radius: 10)
[51:53:22 -306130.394914] SLOW spr round 8 (radius: 5)
[51:57:47 -306128.554235] SLOW spr round 9 (radius: 5)
[52:01:08 -306128.331866] SLOW spr round 10 (radius: 5)
[52:03:59 -306128.328555] SLOW spr round 11 (radius: 10)
[52:06:59 -306128.327969] SLOW spr round 12 (radius: 15)
[52:12:23 -306127.961965] SLOW spr round 13 (radius: 5)
[52:15:53 -306127.961142] SLOW spr round 14 (radius: 10)
[52:19:27 -306127.960615] SLOW spr round 15 (radius: 15)
[52:24:33 -306127.960593] SLOW spr round 16 (radius: 20)
[52:33:24 -306117.494880] SLOW spr round 17 (radius: 5)
[52:36:58 -306116.946501] SLOW spr round 18 (radius: 5)
[52:40:06 -306116.946319] SLOW spr round 19 (radius: 10)
[52:43:17 -306116.946292] SLOW spr round 20 (radius: 15)
[52:48:32 -306116.946274] SLOW spr round 21 (radius: 20)
[52:58:15 -306116.946260] SLOW spr round 22 (radius: 25)
[53:12:55 -306116.946247] Model parameter optimization (eps = 0.100000)

[53:13:15] ML tree search #19, logLikelihood: -306116.708967

[53:13:15 -946781.901769] Initial branch length optimization
[53:13:23 -803821.320639] Model parameter optimization (eps = 10.000000)
[53:14:37 -798103.395896] AUTODETECT spr round 1 (radius: 5)
[53:18:03 -581336.164301] AUTODETECT spr round 2 (radius: 10)
[53:21:41 -428574.772218] AUTODETECT spr round 3 (radius: 15)
[53:25:33 -355041.982714] AUTODETECT spr round 4 (radius: 20)
[53:29:27 -334710.633740] AUTODETECT spr round 5 (radius: 25)
[53:33:55 -332234.471224] SPR radius for FAST iterations: 25 (autodetect)
[53:33:55 -332234.471224] Model parameter optimization (eps = 3.000000)
[53:34:38 -331220.052715] FAST spr round 1 (radius: 25)
[53:40:48 -307237.579764] FAST spr round 2 (radius: 25)
[53:45:12 -306311.424850] FAST spr round 3 (radius: 25)
[53:49:13 -306213.478724] FAST spr round 4 (radius: 25)
[53:52:28 -306205.910568] FAST spr round 5 (radius: 25)
[53:55:11 -306201.934863] FAST spr round 6 (radius: 25)
[53:57:49 -306201.931392] Model parameter optimization (eps = 1.000000)
[53:58:14 -306191.387714] SLOW spr round 1 (radius: 5)
[54:02:00 -306132.297001] SLOW spr round 2 (radius: 5)
[54:05:29 -306121.983832] SLOW spr round 3 (radius: 5)
[54:08:33 -306120.583868] SLOW spr round 4 (radius: 5)
[54:11:48 -306120.555467] SLOW spr round 5 (radius: 10)
[54:16:00 -306111.449736] SLOW spr round 6 (radius: 5)
[54:20:45 -306107.757562] SLOW spr round 7 (radius: 5)
[54:24:54 -306106.922336] SLOW spr round 8 (radius: 5)
[54:28:48 -306106.918190] SLOW spr round 9 (radius: 10)
[54:32:54 -306106.917329] SLOW spr round 10 (radius: 15)
[54:40:29 -306106.475198] SLOW spr round 11 (radius: 5)
[54:45:12 -306106.475165] SLOW spr round 12 (radius: 10)
[54:50:07 -306106.475157] SLOW spr round 13 (radius: 15)
[54:57:16 -306106.475154] SLOW spr round 14 (radius: 20)
[55:09:30 -306105.658879] SLOW spr round 15 (radius: 5)
[55:14:30 -306105.222695] SLOW spr round 16 (radius: 5)
[55:18:48 -306105.220022] SLOW spr round 17 (radius: 10)
[55:23:10 -306105.218976] SLOW spr round 18 (radius: 15)
[55:30:27 -306105.218571] SLOW spr round 19 (radius: 20)
[55:42:26 -306105.218416] SLOW spr round 20 (radius: 25)
[55:55:06 -306105.218356] Model parameter optimization (eps = 0.100000)

[55:55:20] ML tree search #20, logLikelihood: -306104.863494


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.125445,0.726866) (0.073997,1.267357) (0.375550,0.685227) (0.425007,1.312213) 
   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: -306104.863494

AIC score: 616219.726987 / AICc score: 8660279.726987 / BIC score: 627220.386680
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=1784).
         This might lead to overfitting and compromise tree inference results!


WARNING: Best ML tree contains 2 near-zero branches!

Best ML tree with collapsed near-zero branches saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q86UP8/3_mltree/Q86UP8.raxml.bestTreeCollapsed
Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q86UP8/3_mltree/Q86UP8.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q86UP8/3_mltree/Q86UP8.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q86UP8/3_mltree/Q86UP8.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q86UP8/3_mltree/Q86UP8.raxml.log

Analysis started: 03-Jul-2021 17:36:53 / finished: 06-Jul-2021 01:32:14

Elapsed time: 201320.955 seconds

Consumed energy: 17453.576 Wh (= 87 km in an electric car, or 436 km with an e-scooter!)