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 06-Jul-2021 12:07:33 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N6G6/2_msa/Q8N6G6_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N6G6/3_mltree/Q8N6G6 --seed 2 --threads 7 --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 (7 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N6G6/2_msa/Q8N6G6_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1000 taxa and 728 sites

WARNING: Sequences tr_G1QT93_G1QT93_NOMLE_61853 and tr_H2R5K7_H2R5K7_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G1QT93_G1QT93_NOMLE_61853 and sp_Q9UKP5_ATS6_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3QLZ8_G3QLZ8_GORGO_9595 and tr_A0A2J8PFD7_A0A2J8PFD7_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3QLZ8_G3QLZ8_GORGO_9595 and tr_A0A2R9CC15_A0A2R9CC15_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2PFP2_H2PFP2_PONAB_9601 and tr_F7ECB0_F7ECB0_MACMU_9544 are exactly identical!
WARNING: Sequences tr_H2PFP2_H2PFP2_PONAB_9601 and tr_A0A096MRY3_A0A096MRY3_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_H2PFP2_H2PFP2_PONAB_9601 and tr_A0A2K6BFE9_A0A2K6BFE9_MACNE_9545 are exactly identical!
WARNING: Sequences tr_Q29P09_Q29P09_DROPS_46245 and tr_B4GJW6_B4GJW6_DROPE_7234 are exactly identical!
WARNING: Sequences tr_A0A2I3T096_A0A2I3T096_PANTR_9598 and sp_Q8N6G6_ATL1_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_H2QA02_H2QA02_PANTR_9598 and tr_A0A2R9B8A0_A0A2R9B8A0_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2QQL7_H2QQL7_PANTR_9598 and sp_Q8TE57_ATS16_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_K7C8I8_K7C8I8_PANTR_9598 and tr_A0A2R9BJM3_A0A2R9BJM3_PANPA_9597 are exactly identical!
WARNING: Sequences tr_W5P8S1_W5P8S1_SHEEP_9940 and tr_E1BK03_E1BK03_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_A0A1D5QBI8_A0A1D5QBI8_MACMU_9544 and tr_G7PPV2_G7PPV2_MACFA_9541 are exactly identical!
WARNING: Sequences tr_A0A1D5QBI8_A0A1D5QBI8_MACMU_9544 and tr_A0A2K6CKI8_A0A2K6CKI8_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F6QQD3_F6QQD3_MACMU_9544 and tr_G7P769_G7P769_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7DSS6_F7DSS6_MACMU_9544 and tr_A0A096N567_A0A096N567_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F7DSS6_F7DSS6_MACMU_9544 and tr_A0A2K5NRE9_A0A2K5NRE9_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F7DSS6_F7DSS6_MACMU_9544 and tr_A0A2K6DXS9_A0A2K6DXS9_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7DSS6_F7DSS6_MACMU_9544 and tr_A0A2K5YJI7_A0A2K5YJI7_MANLE_9568 are exactly identical!
WARNING: Sequences tr_G7PF36_G7PF36_MACFA_9541 and tr_A0A2K6DJS5_A0A2K6DJS5_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A096N1C0_A0A096N1C0_PAPAN_9555 and tr_A0A2K5L8L7_A0A2K5L8L7_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A2I3M4N3_A0A2I3M4N3_PAPAN_9555 and tr_A0A2K5NQI2_A0A2K5NQI2_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A091JZP6_A0A091JZP6_EGRGA_188379 and tr_A0A091ISR0_A0A091ISR0_CALAN_9244 are exactly identical!
WARNING: Sequences tr_A0A0V1N724_A0A0V1N724_9BILA_268474 and tr_A0A0V1HV44_A0A0V1HV44_9BILA_268475 are exactly identical!
WARNING: Sequences tr_A0A226MN07_A0A226MN07_CALSU_9009 and tr_A0A226PI57_A0A226PI57_COLVI_9014 are exactly identical!
WARNING: Sequences tr_A0A2D0Q659_A0A2D0Q659_ICTPU_7998 and tr_A0A2D0Q8U2_A0A2D0Q8U2_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0RCI5_A0A2D0RCI5_ICTPU_7998 and tr_A0A2D0RDP7_A0A2D0RDP7_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0RCI5_A0A2D0RCI5_ICTPU_7998 and tr_A0A2D0REE2_A0A2D0REE2_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0RUU4_A0A2D0RUU4_ICTPU_7998 and tr_A0A2D0RVR3_A0A2D0RVR3_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2K5MVF8_A0A2K5MVF8_CERAT_9531 and tr_A0A2K5YST9_A0A2K5YST9_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2U4AX66_A0A2U4AX66_TURTR_9739 and tr_A0A2Y9Q9V3_A0A2Y9Q9V3_DELLE_9749 are exactly identical!
WARNING: Sequences tr_A0A2U4AX66_A0A2U4AX66_TURTR_9739 and tr_A0A2Y9SPF7_A0A2Y9SPF7_PHYCD_9755 are exactly identical!
WARNING: Duplicate sequences found: 33

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/Q8N6G6/3_mltree/Q8N6G6.raxml.reduced.phy

Alignment comprises 1 partitions and 728 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 728 / 728
Gaps: 21.46 %
Invariant sites: 0.27 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N6G6/3_mltree/Q8N6G6.raxml.rba

Parallelization scheme autoconfig: 1 worker(s) x 7 thread(s)

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

[00:00:00] Generating 20 random starting tree(s) with 1000 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 104 / 8320
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -1122614.926484] Initial branch length optimization
[00:00:05 -940144.047604] Model parameter optimization (eps = 10.000000)
[00:00:35 -939851.721042] AUTODETECT spr round 1 (radius: 5)
[00:02:43 -587136.073389] AUTODETECT spr round 2 (radius: 10)
[00:05:02 -394785.993800] AUTODETECT spr round 3 (radius: 15)
[00:07:52 -314941.209487] AUTODETECT spr round 4 (radius: 20)
[00:11:02 -278244.415221] AUTODETECT spr round 5 (radius: 25)
[00:14:42 -258785.398315] SPR radius for FAST iterations: 25 (autodetect)
[00:14:42 -258785.398315] Model parameter optimization (eps = 3.000000)
[00:15:08 -258563.076792] FAST spr round 1 (radius: 25)
[00:18:01 -223617.549715] FAST spr round 2 (radius: 25)
[00:20:25 -221804.778817] FAST spr round 3 (radius: 25)
[00:22:32 -221633.296411] FAST spr round 4 (radius: 25)
[00:24:28 -221626.805798] FAST spr round 5 (radius: 25)
[00:26:19 -221626.805644] Model parameter optimization (eps = 1.000000)
[00:26:33 -221624.564534] SLOW spr round 1 (radius: 5)
[00:29:03 -221561.572921] SLOW spr round 2 (radius: 5)
[00:31:26 -221558.066478] SLOW spr round 3 (radius: 5)
[00:33:46 -221558.002504] SLOW spr round 4 (radius: 10)
[00:36:07 -221557.397862] SLOW spr round 5 (radius: 5)
[00:38:55 -221557.382047] SLOW spr round 6 (radius: 10)
[00:41:33 -221556.786371] SLOW spr round 7 (radius: 5)
[00:44:20 -221555.656049] SLOW spr round 8 (radius: 5)
[00:46:49 -221555.042021] SLOW spr round 9 (radius: 5)
[00:49:14 -221553.199071] SLOW spr round 10 (radius: 5)
[00:51:35 -221553.197613] SLOW spr round 11 (radius: 10)
[00:53:55 -221553.197141] SLOW spr round 12 (radius: 15)
[00:57:43 -221552.745901] SLOW spr round 13 (radius: 5)
[01:00:39 -221547.991496] SLOW spr round 14 (radius: 5)
[01:03:17 -221542.837273] SLOW spr round 15 (radius: 5)
[01:05:43 -221542.097905] SLOW spr round 16 (radius: 5)
[01:08:02 -221542.097554] SLOW spr round 17 (radius: 10)
[01:10:24 -221539.678344] SLOW spr round 18 (radius: 5)
[01:13:09 -221539.677492] SLOW spr round 19 (radius: 10)
[01:15:46 -221539.677127] SLOW spr round 20 (radius: 15)
[01:19:18 -221539.676789] SLOW spr round 21 (radius: 20)
[01:25:06 -221539.676448] SLOW spr round 22 (radius: 25)
[01:32:30 -221539.676103] Model parameter optimization (eps = 0.100000)

[01:32:35] ML tree search #1, logLikelihood: -221539.649015

[01:32:35 -1123093.965794] Initial branch length optimization
[01:32:40 -941607.984193] Model parameter optimization (eps = 10.000000)
[01:33:14 -941301.561549] AUTODETECT spr round 1 (radius: 5)
[01:35:44 -563466.082175] AUTODETECT spr round 2 (radius: 10)
[01:38:27 -395049.077019] AUTODETECT spr round 3 (radius: 15)
[01:41:22 -314652.085700] AUTODETECT spr round 4 (radius: 20)
[01:44:33 -265632.329073] AUTODETECT spr round 5 (radius: 25)
[01:48:11 -258723.195756] SPR radius for FAST iterations: 25 (autodetect)
[01:48:11 -258723.195756] Model parameter optimization (eps = 3.000000)
[01:48:49 -258515.641731] FAST spr round 1 (radius: 25)
[01:51:36 -223733.944385] FAST spr round 2 (radius: 25)
[01:53:57 -221746.083114] FAST spr round 3 (radius: 25)
[01:56:07 -221649.260050] FAST spr round 4 (radius: 25)
[01:58:09 -221625.282306] FAST spr round 5 (radius: 25)
[02:00:01 -221624.709429] FAST spr round 6 (radius: 25)
[02:01:50 -221624.706440] Model parameter optimization (eps = 1.000000)
[02:02:02 -221621.536175] SLOW spr round 1 (radius: 5)
[02:04:29 -221569.670969] SLOW spr round 2 (radius: 5)
[02:06:55 -221557.398824] SLOW spr round 3 (radius: 5)
[02:09:15 -221557.365396] SLOW spr round 4 (radius: 10)
[02:11:36 -221557.108948] SLOW spr round 5 (radius: 5)
[02:14:24 -221556.204992] SLOW spr round 6 (radius: 5)
[02:16:56 -221556.203566] SLOW spr round 7 (radius: 10)
[02:19:22 -221554.978196] SLOW spr round 8 (radius: 5)
[02:22:10 -221549.713490] SLOW spr round 9 (radius: 5)
[02:24:41 -221549.142950] SLOW spr round 10 (radius: 5)
[02:27:03 -221549.142869] SLOW spr round 11 (radius: 10)
[02:29:23 -221548.598202] SLOW spr round 12 (radius: 5)
[02:32:10 -221548.565623] SLOW spr round 13 (radius: 10)
[02:34:47 -221548.563512] SLOW spr round 14 (radius: 15)
[02:38:20 -221548.563505] SLOW spr round 15 (radius: 20)
[02:44:16 -221548.563503] SLOW spr round 16 (radius: 25)
[02:51:57 -221548.563501] Model parameter optimization (eps = 0.100000)

[02:52:06] ML tree search #2, logLikelihood: -221548.322620

[02:52:07 -1118920.546087] Initial branch length optimization
[02:52:12 -935933.980903] Model parameter optimization (eps = 10.000000)
[02:52:48 -935659.593366] AUTODETECT spr round 1 (radius: 5)
[02:55:19 -591837.452429] AUTODETECT spr round 2 (radius: 10)
[02:58:00 -421571.920575] AUTODETECT spr round 3 (radius: 15)
[03:01:00 -300971.187665] AUTODETECT spr round 4 (radius: 20)
[03:04:02 -271907.999033] AUTODETECT spr round 5 (radius: 25)
[03:07:54 -264300.640478] SPR radius for FAST iterations: 25 (autodetect)
[03:07:54 -264300.640478] Model parameter optimization (eps = 3.000000)
[03:08:17 -264135.038826] FAST spr round 1 (radius: 25)
[03:11:07 -223789.246692] FAST spr round 2 (radius: 25)
[03:13:21 -221786.888578] FAST spr round 3 (radius: 25)
[03:15:29 -221635.733101] FAST spr round 4 (radius: 25)
[03:17:34 -221624.427235] FAST spr round 5 (radius: 25)
[03:19:29 -221615.435632] FAST spr round 6 (radius: 25)
[03:21:21 -221615.434287] Model parameter optimization (eps = 1.000000)
[03:21:39 -221612.703371] SLOW spr round 1 (radius: 5)
[03:24:05 -221562.553224] SLOW spr round 2 (radius: 5)
[03:26:33 -221551.807117] SLOW spr round 3 (radius: 5)
[03:28:52 -221551.805265] SLOW spr round 4 (radius: 10)
[03:31:16 -221549.911581] SLOW spr round 5 (radius: 5)
[03:34:07 -221547.739851] SLOW spr round 6 (radius: 5)
[03:36:40 -221546.941229] SLOW spr round 7 (radius: 5)
[03:39:05 -221546.941086] SLOW spr round 8 (radius: 10)
[03:41:30 -221546.628210] SLOW spr round 9 (radius: 5)
[03:44:19 -221544.915245] SLOW spr round 10 (radius: 5)
[03:46:51 -221544.915101] SLOW spr round 11 (radius: 10)
[03:49:20 -221544.787278] SLOW spr round 12 (radius: 5)
[03:52:09 -221543.398677] SLOW spr round 13 (radius: 5)
[03:54:40 -221543.398444] SLOW spr round 14 (radius: 10)
[03:57:08 -221543.398221] SLOW spr round 15 (radius: 15)
[04:00:55 -221542.807552] SLOW spr round 16 (radius: 5)
[04:03:50 -221542.807050] SLOW spr round 17 (radius: 10)
[04:06:39 -221542.806804] SLOW spr round 18 (radius: 15)
[04:10:19 -221542.806574] SLOW spr round 19 (radius: 20)
[04:16:26 -221542.806342] SLOW spr round 20 (radius: 25)
[04:24:10 -221542.806109] Model parameter optimization (eps = 0.100000)

[04:24:16] ML tree search #3, logLikelihood: -221542.784750

[04:24:16 -1128396.072209] Initial branch length optimization
[04:24:21 -937983.289755] Model parameter optimization (eps = 10.000000)
[04:24:58 -937687.966076] AUTODETECT spr round 1 (radius: 5)
[04:27:28 -596291.122595] AUTODETECT spr round 2 (radius: 10)
[04:30:14 -393335.672900] AUTODETECT spr round 3 (radius: 15)
[04:33:22 -306629.239390] AUTODETECT spr round 4 (radius: 20)
[04:36:27 -286208.012615] AUTODETECT spr round 5 (radius: 25)
[04:39:43 -261563.525889] SPR radius for FAST iterations: 25 (autodetect)
[04:39:43 -261563.525889] Model parameter optimization (eps = 3.000000)
[04:40:09 -261327.810448] FAST spr round 1 (radius: 25)
[04:43:01 -223693.758687] FAST spr round 2 (radius: 25)
[04:45:21 -221783.295662] FAST spr round 3 (radius: 25)
[04:47:26 -221656.278857] FAST spr round 4 (radius: 25)
[04:49:22 -221641.356911] FAST spr round 5 (radius: 25)
[04:51:15 -221640.161269] FAST spr round 6 (radius: 25)
[04:53:07 -221640.160464] Model parameter optimization (eps = 1.000000)
[04:53:24 -221637.723820] SLOW spr round 1 (radius: 5)
[04:55:47 -221569.516836] SLOW spr round 2 (radius: 5)
[04:58:08 -221561.811983] SLOW spr round 3 (radius: 5)
[05:00:30 -221550.952465] SLOW spr round 4 (radius: 5)
[05:02:46 -221550.220852] SLOW spr round 5 (radius: 5)
[05:05:03 -221550.220468] SLOW spr round 6 (radius: 10)
[05:07:24 -221550.220137] SLOW spr round 7 (radius: 15)
[05:11:17 -221550.219805] SLOW spr round 8 (radius: 20)
[05:17:12 -221550.219470] SLOW spr round 9 (radius: 25)
[05:24:58 -221550.219131] Model parameter optimization (eps = 0.100000)

[05:25:06] ML tree search #4, logLikelihood: -221550.113051

[05:25:06 -1130346.802996] Initial branch length optimization
[05:25:13 -949397.776148] Model parameter optimization (eps = 10.000000)
[05:25:45 -949046.792124] AUTODETECT spr round 1 (radius: 5)
[05:28:16 -577137.745319] AUTODETECT spr round 2 (radius: 10)
[05:31:05 -355866.909385] AUTODETECT spr round 3 (radius: 15)
[05:34:07 -275729.885746] AUTODETECT spr round 4 (radius: 20)
[05:37:27 -253244.796629] AUTODETECT spr round 5 (radius: 25)
[05:41:28 -249632.143235] SPR radius for FAST iterations: 25 (autodetect)
[05:41:28 -249632.143235] Model parameter optimization (eps = 3.000000)
[05:41:57 -249469.600472] FAST spr round 1 (radius: 25)
[05:44:48 -222530.851457] FAST spr round 2 (radius: 25)
[05:47:14 -221739.671248] FAST spr round 3 (radius: 25)
[05:49:22 -221677.295425] FAST spr round 4 (radius: 25)
[05:51:22 -221663.405441] FAST spr round 5 (radius: 25)
[05:53:17 -221662.856365] FAST spr round 6 (radius: 25)
[05:55:09 -221662.795238] Model parameter optimization (eps = 1.000000)
[05:55:24 -221661.135987] SLOW spr round 1 (radius: 5)
[05:57:47 -221609.586010] SLOW spr round 2 (radius: 5)
[06:00:09 -221605.375140] SLOW spr round 3 (radius: 5)
[06:02:29 -221605.368156] SLOW spr round 4 (radius: 10)
[06:04:51 -221604.998465] SLOW spr round 5 (radius: 5)
[06:07:39 -221604.947499] SLOW spr round 6 (radius: 10)
[06:10:19 -221604.631358] SLOW spr round 7 (radius: 5)
[06:13:05 -221602.907026] SLOW spr round 8 (radius: 5)
[06:15:36 -221602.721609] SLOW spr round 9 (radius: 5)
[06:18:01 -221601.341280] SLOW spr round 10 (radius: 5)
[06:20:35 -221564.789928] SLOW spr round 11 (radius: 5)
[06:23:01 -221556.979532] SLOW spr round 12 (radius: 5)
[06:25:21 -221543.875781] SLOW spr round 13 (radius: 5)
[06:27:42 -221539.465451] SLOW spr round 14 (radius: 5)
[06:30:01 -221539.227464] SLOW spr round 15 (radius: 5)
[06:32:17 -221539.223167] SLOW spr round 16 (radius: 10)
[06:34:39 -221536.855661] SLOW spr round 17 (radius: 5)
[06:37:29 -221527.525842] SLOW spr round 18 (radius: 5)
[06:40:00 -221527.521311] SLOW spr round 19 (radius: 10)
[06:42:27 -221527.521303] SLOW spr round 20 (radius: 15)
[06:46:13 -221527.521301] SLOW spr round 21 (radius: 20)
[06:52:09 -221527.521300] SLOW spr round 22 (radius: 25)
[06:59:50 -221527.521300] Model parameter optimization (eps = 0.100000)

[07:00:01] ML tree search #5, logLikelihood: -221527.376362

[07:00:01 -1125651.491056] Initial branch length optimization
[07:00:06 -941188.798694] Model parameter optimization (eps = 10.000000)
[07:00:39 -940912.134582] AUTODETECT spr round 1 (radius: 5)
[07:03:08 -577104.899237] AUTODETECT spr round 2 (radius: 10)
[07:05:54 -370200.526876] AUTODETECT spr round 3 (radius: 15)
[07:08:49 -302951.298976] AUTODETECT spr round 4 (radius: 20)
[07:12:14 -267187.142490] AUTODETECT spr round 5 (radius: 25)
[07:16:24 -259580.071710] SPR radius for FAST iterations: 25 (autodetect)
[07:16:24 -259580.071710] Model parameter optimization (eps = 3.000000)
[07:16:49 -259387.299366] FAST spr round 1 (radius: 25)
[07:19:49 -223984.389549] FAST spr round 2 (radius: 25)
[07:22:21 -221877.707444] FAST spr round 3 (radius: 25)
[07:24:35 -221656.455748] FAST spr round 4 (radius: 25)
[07:26:40 -221626.251428] FAST spr round 5 (radius: 25)
[07:28:36 -221624.522465] FAST spr round 6 (radius: 25)
[07:30:30 -221623.937719] FAST spr round 7 (radius: 25)
[07:32:23 -221623.935844] Model parameter optimization (eps = 1.000000)
[07:32:45 -221618.184002] SLOW spr round 1 (radius: 5)
[07:35:14 -221547.883769] SLOW spr round 2 (radius: 5)
[07:37:38 -221543.703306] SLOW spr round 3 (radius: 5)
[07:40:01 -221543.702717] SLOW spr round 4 (radius: 10)
[07:42:24 -221543.269102] SLOW spr round 5 (radius: 5)
[07:45:16 -221543.017140] SLOW spr round 6 (radius: 5)
[07:47:50 -221543.016667] SLOW spr round 7 (radius: 10)
[07:50:20 -221542.768920] SLOW spr round 8 (radius: 5)
[07:53:11 -221541.037100] SLOW spr round 9 (radius: 5)
[07:55:44 -221541.036663] SLOW spr round 10 (radius: 10)
[07:58:11 -221541.036507] SLOW spr round 11 (radius: 15)
[08:01:57 -221540.407023] SLOW spr round 12 (radius: 5)
[08:04:51 -221540.406830] SLOW spr round 13 (radius: 10)
[08:07:37 -221540.406666] SLOW spr round 14 (radius: 15)
[08:11:14 -221540.406500] SLOW spr round 15 (radius: 20)
[08:17:19 -221540.406330] SLOW spr round 16 (radius: 25)
[08:25:00 -221540.406158] Model parameter optimization (eps = 0.100000)

[08:25:09] ML tree search #6, logLikelihood: -221540.179803

[08:25:10 -1124332.629374] Initial branch length optimization
[08:25:15 -940913.856074] Model parameter optimization (eps = 10.000000)
[08:25:54 -940702.218480] AUTODETECT spr round 1 (radius: 5)
[08:28:27 -580714.580942] AUTODETECT spr round 2 (radius: 10)
[08:31:11 -394300.235048] AUTODETECT spr round 3 (radius: 15)
[08:34:21 -295284.853881] AUTODETECT spr round 4 (radius: 20)
[08:37:17 -262958.857456] AUTODETECT spr round 5 (radius: 25)
[08:41:08 -257914.397519] SPR radius for FAST iterations: 25 (autodetect)
[08:41:08 -257914.397519] Model parameter optimization (eps = 3.000000)
[08:41:36 -257694.702642] FAST spr round 1 (radius: 25)
[08:44:27 -223675.899564] FAST spr round 2 (radius: 25)
[08:46:47 -221690.215971] FAST spr round 3 (radius: 25)
[08:48:58 -221634.711213] FAST spr round 4 (radius: 25)
[08:50:58 -221624.800532] FAST spr round 5 (radius: 25)
[08:52:52 -221624.799929] Model parameter optimization (eps = 1.000000)
[08:53:02 -221623.024772] SLOW spr round 1 (radius: 5)
[08:55:29 -221570.991673] SLOW spr round 2 (radius: 5)
[08:57:53 -221568.985091] SLOW spr round 3 (radius: 5)
[09:00:13 -221568.442650] SLOW spr round 4 (radius: 5)
[09:02:30 -221568.441987] SLOW spr round 5 (radius: 10)
[09:04:56 -221550.205086] SLOW spr round 6 (radius: 5)
[09:07:44 -221549.714134] SLOW spr round 7 (radius: 5)
[09:10:16 -221549.713645] SLOW spr round 8 (radius: 10)
[09:12:43 -221549.713223] SLOW spr round 9 (radius: 15)
[09:16:23 -221549.712796] SLOW spr round 10 (radius: 20)
[09:22:10 -221549.712364] SLOW spr round 11 (radius: 25)
[09:29:36 -221549.711926] Model parameter optimization (eps = 0.100000)

[09:29:49] ML tree search #7, logLikelihood: -221548.653656

[09:29:49 -1120930.132734] Initial branch length optimization
[09:29:55 -939172.700159] Model parameter optimization (eps = 10.000000)
[09:30:32 -938839.731564] AUTODETECT spr round 1 (radius: 5)
[09:33:00 -572879.112414] AUTODETECT spr round 2 (radius: 10)
[09:35:43 -394803.036155] AUTODETECT spr round 3 (radius: 15)
[09:38:44 -313245.456050] AUTODETECT spr round 4 (radius: 20)
[09:41:42 -276040.022556] AUTODETECT spr round 5 (radius: 25)
[09:45:07 -268839.010813] SPR radius for FAST iterations: 25 (autodetect)
[09:45:07 -268839.010813] Model parameter optimization (eps = 3.000000)
[09:45:29 -268665.981515] FAST spr round 1 (radius: 25)
[09:48:21 -225460.856133] FAST spr round 2 (radius: 25)
[09:50:42 -221893.229958] FAST spr round 3 (radius: 25)
[09:52:50 -221653.808374] FAST spr round 4 (radius: 25)
[09:54:51 -221610.172882] FAST spr round 5 (radius: 25)
[09:56:45 -221609.668060] FAST spr round 6 (radius: 25)
[09:58:37 -221609.667790] Model parameter optimization (eps = 1.000000)
[09:58:57 -221597.835026] SLOW spr round 1 (radius: 5)
[10:01:20 -221541.764539] SLOW spr round 2 (radius: 5)
[10:03:44 -221537.780014] SLOW spr round 3 (radius: 5)
[10:06:04 -221536.964387] SLOW spr round 4 (radius: 5)
[10:08:23 -221536.963995] SLOW spr round 5 (radius: 10)
[10:10:47 -221530.525689] SLOW spr round 6 (radius: 5)
[10:13:35 -221530.524769] SLOW spr round 7 (radius: 10)
[10:16:17 -221529.977337] SLOW spr round 8 (radius: 5)
[10:19:05 -221527.024212] SLOW spr round 9 (radius: 5)
[10:21:37 -221526.429660] SLOW spr round 10 (radius: 5)
[10:24:02 -221526.429013] SLOW spr round 11 (radius: 10)
[10:26:26 -221526.428888] SLOW spr round 12 (radius: 15)
[10:30:15 -221526.428797] SLOW spr round 13 (radius: 20)
[10:36:03 -221526.428715] SLOW spr round 14 (radius: 25)
[10:43:39 -221526.428636] Model parameter optimization (eps = 0.100000)

[10:43:53] ML tree search #8, logLikelihood: -221525.997978

[10:43:53 -1111540.188011] Initial branch length optimization
[10:43:58 -930362.766476] Model parameter optimization (eps = 10.000000)
[10:44:29 -930114.291892] AUTODETECT spr round 1 (radius: 5)
[10:47:00 -588943.074433] AUTODETECT spr round 2 (radius: 10)
[10:49:51 -390302.816365] AUTODETECT spr round 3 (radius: 15)
[10:52:56 -313905.925432] AUTODETECT spr round 4 (radius: 20)
[10:56:01 -282600.349530] AUTODETECT spr round 5 (radius: 25)
[10:59:41 -269604.408513] SPR radius for FAST iterations: 25 (autodetect)
[10:59:41 -269604.408513] Model parameter optimization (eps = 3.000000)
[11:00:12 -269389.286750] FAST spr round 1 (radius: 25)
[11:03:12 -223877.910689] FAST spr round 2 (radius: 25)
[11:05:41 -221798.164924] FAST spr round 3 (radius: 25)
[11:08:00 -221636.983287] FAST spr round 4 (radius: 25)
[11:10:02 -221620.283962] FAST spr round 5 (radius: 25)
[11:11:57 -221620.070889] FAST spr round 6 (radius: 25)
[11:13:50 -221620.070258] Model parameter optimization (eps = 1.000000)
[11:14:04 -221616.910225] SLOW spr round 1 (radius: 5)
[11:16:34 -221545.168505] SLOW spr round 2 (radius: 5)
[11:18:58 -221537.915430] SLOW spr round 3 (radius: 5)
[11:21:18 -221537.913002] SLOW spr round 4 (radius: 10)
[11:23:42 -221534.715364] SLOW spr round 5 (radius: 5)
[11:26:32 -221534.700157] SLOW spr round 6 (radius: 10)
[11:29:10 -221534.699916] SLOW spr round 7 (radius: 15)
[11:32:46 -221534.699677] SLOW spr round 8 (radius: 20)
[11:38:40 -221534.699435] SLOW spr round 9 (radius: 25)
[11:46:17 -221534.699191] Model parameter optimization (eps = 0.100000)

[11:46:28] ML tree search #9, logLikelihood: -221534.493589

[11:46:28 -1122491.198759] Initial branch length optimization
[11:46:33 -941921.227125] Model parameter optimization (eps = 10.000000)
[11:47:06 -941637.587386] AUTODETECT spr round 1 (radius: 5)
[11:49:37 -585821.134902] AUTODETECT spr round 2 (radius: 10)
[11:52:19 -427592.654701] AUTODETECT spr round 3 (radius: 15)
[11:55:17 -318785.859270] AUTODETECT spr round 4 (radius: 20)
[11:58:19 -270215.578725] AUTODETECT spr round 5 (radius: 25)
[12:01:46 -262335.308474] SPR radius for FAST iterations: 25 (autodetect)
[12:01:46 -262335.308474] Model parameter optimization (eps = 3.000000)
[12:02:11 -262156.889594] FAST spr round 1 (radius: 25)
[12:05:08 -225175.450260] FAST spr round 2 (radius: 25)
[12:07:40 -221942.000371] FAST spr round 3 (radius: 25)
[12:09:56 -221671.497770] FAST spr round 4 (radius: 25)
[12:11:58 -221627.963987] FAST spr round 5 (radius: 25)
[12:13:53 -221617.224822] FAST spr round 6 (radius: 25)
[12:15:45 -221617.213149] Model parameter optimization (eps = 1.000000)
[12:16:01 -221615.093784] SLOW spr round 1 (radius: 5)
[12:18:31 -221555.607170] SLOW spr round 2 (radius: 5)
[12:20:55 -221554.190905] SLOW spr round 3 (radius: 5)
[12:23:15 -221554.157118] SLOW spr round 4 (radius: 10)
[12:25:36 -221553.648706] SLOW spr round 5 (radius: 5)
[12:28:26 -221553.181778] SLOW spr round 6 (radius: 5)
[12:30:59 -221553.181585] SLOW spr round 7 (radius: 10)
[12:33:25 -221553.181552] SLOW spr round 8 (radius: 15)
[12:37:06 -221553.181548] SLOW spr round 9 (radius: 20)
[12:43:02 -221553.181547] SLOW spr round 10 (radius: 25)
[12:50:52 -221553.181546] Model parameter optimization (eps = 0.100000)

[12:51:04] ML tree search #10, logLikelihood: -221552.850856

[12:51:04 -1119088.228118] Initial branch length optimization
[12:51:10 -940194.511001] Model parameter optimization (eps = 10.000000)
[12:51:51 -939831.378821] AUTODETECT spr round 1 (radius: 5)
[12:54:22 -596245.380580] AUTODETECT spr round 2 (radius: 10)
[12:57:11 -394025.435211] AUTODETECT spr round 3 (radius: 15)
[13:00:21 -295959.260521] AUTODETECT spr round 4 (radius: 20)
[13:03:34 -263463.980646] AUTODETECT spr round 5 (radius: 25)
[13:07:30 -259378.028171] SPR radius for FAST iterations: 25 (autodetect)
[13:07:31 -259378.028171] Model parameter optimization (eps = 3.000000)
[13:07:57 -259177.329497] FAST spr round 1 (radius: 25)
[13:10:46 -223514.735275] FAST spr round 2 (radius: 25)
[13:13:11 -221698.592214] FAST spr round 3 (radius: 25)
[13:15:22 -221608.388711] FAST spr round 4 (radius: 25)
[13:17:19 -221606.901616] FAST spr round 5 (radius: 25)
[13:19:13 -221606.877635] Model parameter optimization (eps = 1.000000)
[13:19:29 -221603.307653] SLOW spr round 1 (radius: 5)
[13:21:59 -221538.645815] SLOW spr round 2 (radius: 5)
[13:24:27 -221530.877086] SLOW spr round 3 (radius: 5)
[13:26:50 -221530.804475] SLOW spr round 4 (radius: 10)
[13:29:13 -221529.426210] SLOW spr round 5 (radius: 5)
[13:32:03 -221528.962484] SLOW spr round 6 (radius: 5)
[13:34:36 -221528.962355] SLOW spr round 7 (radius: 10)
[13:37:04 -221528.657648] SLOW spr round 8 (radius: 5)
[13:39:53 -221526.943214] SLOW spr round 9 (radius: 5)
[13:42:25 -221526.942835] SLOW spr round 10 (radius: 10)
[13:44:53 -221526.941781] SLOW spr round 11 (radius: 15)
[13:48:40 -221526.941777] SLOW spr round 12 (radius: 20)
[13:54:45 -221526.941773] SLOW spr round 13 (radius: 25)
[14:02:33 -221526.941769] Model parameter optimization (eps = 0.100000)

[14:02:44] ML tree search #11, logLikelihood: -221526.840950

[14:02:44 -1128547.181181] Initial branch length optimization
[14:02:50 -944022.553263] Model parameter optimization (eps = 10.000000)
[14:03:27 -943705.804947] AUTODETECT spr round 1 (radius: 5)
[14:05:54 -581886.832569] AUTODETECT spr round 2 (radius: 10)
[14:08:33 -382147.369853] AUTODETECT spr round 3 (radius: 15)
[14:11:22 -291407.821228] AUTODETECT spr round 4 (radius: 20)
[14:14:36 -257751.005306] AUTODETECT spr round 5 (radius: 25)
[14:17:58 -252276.102718] SPR radius for FAST iterations: 25 (autodetect)
[14:17:58 -252276.102718] Model parameter optimization (eps = 3.000000)
[14:18:23 -252047.596696] FAST spr round 1 (radius: 25)
[14:21:08 -222955.627771] FAST spr round 2 (radius: 25)
[14:23:20 -221666.644266] FAST spr round 3 (radius: 25)
[14:25:18 -221627.169393] FAST spr round 4 (radius: 25)
[14:27:08 -221615.863114] FAST spr round 5 (radius: 25)
[14:28:55 -221615.862289] Model parameter optimization (eps = 1.000000)
[14:29:12 -221609.258126] SLOW spr round 1 (radius: 5)
[14:31:39 -221532.746054] SLOW spr round 2 (radius: 5)
[14:33:56 -221529.962364] SLOW spr round 3 (radius: 5)
[14:36:08 -221529.960062] SLOW spr round 4 (radius: 10)
[14:38:25 -221529.031660] SLOW spr round 5 (radius: 5)
[14:41:07 -221528.346524] SLOW spr round 6 (radius: 5)
[14:43:31 -221528.346024] SLOW spr round 7 (radius: 10)
[14:45:53 -221528.346018] SLOW spr round 8 (radius: 15)
[14:49:23 -221528.346014] SLOW spr round 9 (radius: 20)
[14:54:56 -221528.346010] SLOW spr round 10 (radius: 25)
[15:02:18 -221528.346008] Model parameter optimization (eps = 0.100000)

[15:02:24] ML tree search #12, logLikelihood: -221528.247598

[15:02:24 -1121463.854286] Initial branch length optimization
[15:02:29 -935503.535934] Model parameter optimization (eps = 10.000000)
[15:03:00 -935183.291197] AUTODETECT spr round 1 (radius: 5)
[15:05:28 -592688.499899] AUTODETECT spr round 2 (radius: 10)
[15:08:07 -411314.762390] AUTODETECT spr round 3 (radius: 15)
[15:10:56 -347201.388359] AUTODETECT spr round 4 (radius: 20)
[15:14:17 -290006.744840] AUTODETECT spr round 5 (radius: 25)
[15:17:21 -272219.969467] SPR radius for FAST iterations: 25 (autodetect)
[15:17:21 -272219.969467] Model parameter optimization (eps = 3.000000)
[15:17:43 -272050.164676] FAST spr round 1 (radius: 25)
[15:20:26 -225255.337990] FAST spr round 2 (radius: 25)
[15:22:49 -221851.417421] FAST spr round 3 (radius: 25)
[15:24:51 -221660.738480] FAST spr round 4 (radius: 25)
[15:26:49 -221612.183457] FAST spr round 5 (radius: 25)
[15:28:37 -221601.413199] FAST spr round 6 (radius: 25)
[15:30:25 -221601.413197] Model parameter optimization (eps = 1.000000)
[15:30:41 -221594.622558] SLOW spr round 1 (radius: 5)
[15:33:04 -221555.351952] SLOW spr round 2 (radius: 5)
[15:35:22 -221546.992866] SLOW spr round 3 (radius: 5)
[15:37:36 -221546.990928] SLOW spr round 4 (radius: 10)
[15:39:52 -221546.990928] SLOW spr round 5 (radius: 15)
[15:43:37 -221546.990928] SLOW spr round 6 (radius: 20)
[15:49:20 -221546.990928] SLOW spr round 7 (radius: 25)
[15:56:56 -221546.990928] Model parameter optimization (eps = 0.100000)

[15:57:05] ML tree search #13, logLikelihood: -221546.844279

[15:57:05 -1119941.327747] Initial branch length optimization
[15:57:11 -942105.893579] Model parameter optimization (eps = 10.000000)
[15:57:42 -941842.908088] AUTODETECT spr round 1 (radius: 5)
[16:00:08 -577973.801221] AUTODETECT spr round 2 (radius: 10)
[16:02:47 -393215.205738] AUTODETECT spr round 3 (radius: 15)
[16:05:42 -294860.839986] AUTODETECT spr round 4 (radius: 20)
[16:08:41 -258897.847770] AUTODETECT spr round 5 (radius: 25)
[16:12:29 -257446.390978] SPR radius for FAST iterations: 25 (autodetect)
[16:12:29 -257446.390978] Model parameter optimization (eps = 3.000000)
[16:12:52 -257269.072296] FAST spr round 1 (radius: 25)
[16:15:35 -223002.897569] FAST spr round 2 (radius: 25)
[16:17:40 -221742.756887] FAST spr round 3 (radius: 25)
[16:19:40 -221661.619039] FAST spr round 4 (radius: 25)
[16:21:37 -221649.340685] FAST spr round 5 (radius: 25)
[16:23:24 -221649.339679] Model parameter optimization (eps = 1.000000)
[16:23:38 -221646.120768] SLOW spr round 1 (radius: 5)
[16:25:55 -221573.183966] SLOW spr round 2 (radius: 5)
[16:28:13 -221560.492635] SLOW spr round 3 (radius: 5)
[16:30:29 -221560.468346] SLOW spr round 4 (radius: 10)
[16:32:46 -221560.206527] SLOW spr round 5 (radius: 5)
[16:35:28 -221559.159594] SLOW spr round 6 (radius: 5)
[16:37:57 -221559.158000] SLOW spr round 7 (radius: 10)
[16:40:18 -221559.157830] SLOW spr round 8 (radius: 15)
[16:43:57 -221558.716204] SLOW spr round 9 (radius: 5)
[16:46:44 -221558.716054] SLOW spr round 10 (radius: 10)
[16:49:25 -221558.715918] SLOW spr round 11 (radius: 15)
[16:52:54 -221558.335080] SLOW spr round 12 (radius: 5)
[16:55:42 -221558.206842] SLOW spr round 13 (radius: 5)
[16:58:16 -221558.206353] SLOW spr round 14 (radius: 10)
[17:00:39 -221558.206202] SLOW spr round 15 (radius: 15)
[17:04:14 -221558.206056] SLOW spr round 16 (radius: 20)
[17:10:10 -221558.205909] SLOW spr round 17 (radius: 25)
[17:17:50 -221558.205762] Model parameter optimization (eps = 0.100000)

[17:17:57] ML tree search #14, logLikelihood: -221558.146385

[17:17:57 -1127126.685279] Initial branch length optimization
[17:18:03 -938151.013399] Model parameter optimization (eps = 10.000000)
[17:18:35 -937808.834914] AUTODETECT spr round 1 (radius: 5)
[17:21:00 -581819.217535] AUTODETECT spr round 2 (radius: 10)
[17:23:44 -370330.434998] AUTODETECT spr round 3 (radius: 15)
[17:26:31 -303192.148491] AUTODETECT spr round 4 (radius: 20)
[17:29:21 -263425.135651] AUTODETECT spr round 5 (radius: 25)
[17:32:41 -256093.010594] SPR radius for FAST iterations: 25 (autodetect)
[17:32:41 -256093.010594] Model parameter optimization (eps = 3.000000)
[17:33:05 -255866.526124] FAST spr round 1 (radius: 25)
[17:35:48 -223153.048044] FAST spr round 2 (radius: 25)
[17:38:03 -221799.844101] FAST spr round 3 (radius: 25)
[17:40:05 -221664.363040] FAST spr round 4 (radius: 25)
[17:41:58 -221650.835934] FAST spr round 5 (radius: 25)
[17:43:46 -221650.799761] Model parameter optimization (eps = 1.000000)
[17:44:04 -221643.044519] SLOW spr round 1 (radius: 5)
[17:46:29 -221603.476550] SLOW spr round 2 (radius: 5)
[17:48:46 -221574.185206] SLOW spr round 3 (radius: 5)
[17:51:03 -221567.760994] SLOW spr round 4 (radius: 5)
[17:53:18 -221567.342354] SLOW spr round 5 (radius: 5)
[17:55:30 -221564.373967] SLOW spr round 6 (radius: 5)
[17:57:42 -221564.373965] SLOW spr round 7 (radius: 10)
[18:00:00 -221563.556042] SLOW spr round 8 (radius: 5)
[18:02:44 -221561.399630] SLOW spr round 9 (radius: 5)
[18:05:12 -221561.399609] SLOW spr round 10 (radius: 10)
[18:07:33 -221560.957769] SLOW spr round 11 (radius: 5)
[18:10:16 -221560.678391] SLOW spr round 12 (radius: 5)
[18:12:45 -221560.677798] SLOW spr round 13 (radius: 10)
[18:15:05 -221560.627114] SLOW spr round 14 (radius: 15)
[18:18:43 -221560.029233] SLOW spr round 15 (radius: 5)
[18:21:36 -221556.954018] SLOW spr round 16 (radius: 5)
[18:24:10 -221554.432983] SLOW spr round 17 (radius: 5)
[18:26:34 -221554.430539] SLOW spr round 18 (radius: 10)
[18:28:53 -221554.430465] SLOW spr round 19 (radius: 15)
[18:32:37 -221554.430437] SLOW spr round 20 (radius: 20)
[18:38:23 -221554.430425] SLOW spr round 21 (radius: 25)
[18:45:51 -221554.430420] Model parameter optimization (eps = 0.100000)

[18:45:59] ML tree search #15, logLikelihood: -221554.220209

[18:46:00 -1129562.699608] Initial branch length optimization
[18:46:05 -944742.902836] Model parameter optimization (eps = 10.000000)
[18:46:39 -944481.800304] AUTODETECT spr round 1 (radius: 5)
[18:49:04 -588257.779019] AUTODETECT spr round 2 (radius: 10)
[18:51:45 -399982.349395] AUTODETECT spr round 3 (radius: 15)
[18:54:28 -329004.818646] AUTODETECT spr round 4 (radius: 20)
[18:57:25 -284264.890330] AUTODETECT spr round 5 (radius: 25)
[19:00:52 -264800.375809] SPR radius for FAST iterations: 25 (autodetect)
[19:00:52 -264800.375809] Model parameter optimization (eps = 3.000000)
[19:01:12 -264686.827459] FAST spr round 1 (radius: 25)
[19:04:05 -223388.397711] FAST spr round 2 (radius: 25)
[19:06:23 -221758.717317] FAST spr round 3 (radius: 25)
[19:08:27 -221650.184257] FAST spr round 4 (radius: 25)
[19:10:21 -221644.548485] FAST spr round 5 (radius: 25)
[19:12:09 -221638.729230] FAST spr round 6 (radius: 25)
[19:13:59 -221638.728456] Model parameter optimization (eps = 1.000000)
[19:14:20 -221626.048963] SLOW spr round 1 (radius: 5)
[19:16:40 -221558.321240] SLOW spr round 2 (radius: 5)
[19:19:00 -221547.586865] SLOW spr round 3 (radius: 5)
[19:21:17 -221545.571838] SLOW spr round 4 (radius: 5)
[19:23:29 -221545.571288] SLOW spr round 5 (radius: 10)
[19:25:46 -221542.306490] SLOW spr round 6 (radius: 5)
[19:28:30 -221536.841931] SLOW spr round 7 (radius: 5)
[19:30:56 -221535.494067] SLOW spr round 8 (radius: 5)
[19:33:17 -221535.494063] SLOW spr round 9 (radius: 10)
[19:35:34 -221535.043975] SLOW spr round 10 (radius: 5)
[19:38:15 -221535.043960] SLOW spr round 11 (radius: 10)
[19:40:49 -221535.043960] SLOW spr round 12 (radius: 15)
[19:44:18 -221535.043959] SLOW spr round 13 (radius: 20)
[19:50:13 -221535.043959] SLOW spr round 14 (radius: 25)
[19:57:42 -221535.043958] Model parameter optimization (eps = 0.100000)

[19:57:48] ML tree search #16, logLikelihood: -221535.009242

[19:57:48 -1117728.573134] Initial branch length optimization
[19:57:54 -940077.106131] Model parameter optimization (eps = 10.000000)
[19:58:34 -939836.891573] AUTODETECT spr round 1 (radius: 5)
[20:01:01 -579221.280929] AUTODETECT spr round 2 (radius: 10)
[20:03:43 -382888.552349] AUTODETECT spr round 3 (radius: 15)
[20:06:25 -320712.235903] AUTODETECT spr round 4 (radius: 20)
[20:09:29 -277285.615587] AUTODETECT spr round 5 (radius: 25)
[20:13:06 -264162.517733] SPR radius for FAST iterations: 25 (autodetect)
[20:13:06 -264162.517733] Model parameter optimization (eps = 3.000000)
[20:13:28 -263962.031398] FAST spr round 1 (radius: 25)
[20:16:09 -223693.914482] FAST spr round 2 (radius: 25)
[20:18:23 -221839.946588] FAST spr round 3 (radius: 25)
[20:20:25 -221784.618615] FAST spr round 4 (radius: 25)
[20:22:18 -221782.223851] FAST spr round 5 (radius: 25)
[20:24:04 -221782.219511] Model parameter optimization (eps = 1.000000)
[20:24:27 -221777.543030] SLOW spr round 1 (radius: 5)
[20:26:46 -221703.985413] SLOW spr round 2 (radius: 5)
[20:29:05 -221698.268739] SLOW spr round 3 (radius: 5)
[20:31:18 -221698.262021] SLOW spr round 4 (radius: 10)
[20:33:34 -221697.449716] SLOW spr round 5 (radius: 5)
[20:36:19 -221691.184625] SLOW spr round 6 (radius: 5)
[20:38:45 -221690.387217] SLOW spr round 7 (radius: 5)
[20:41:05 -221690.386973] SLOW spr round 8 (radius: 10)
[20:43:23 -221689.983101] SLOW spr round 9 (radius: 5)
[20:46:03 -221689.695708] SLOW spr round 10 (radius: 5)
[20:48:31 -221689.695227] SLOW spr round 11 (radius: 10)
[20:50:52 -221689.404950] SLOW spr round 12 (radius: 5)
[20:53:34 -221687.694111] SLOW spr round 13 (radius: 5)
[20:55:59 -221687.693469] SLOW spr round 14 (radius: 10)
[20:58:18 -221687.693009] SLOW spr round 15 (radius: 15)
[21:02:09 -221685.709792] SLOW spr round 16 (radius: 5)
[21:05:00 -221668.746906] SLOW spr round 17 (radius: 5)
[21:07:35 -221613.556766] SLOW spr round 18 (radius: 5)
[21:09:56 -221594.467737] SLOW spr round 19 (radius: 5)
[21:12:20 -221556.840973] SLOW spr round 20 (radius: 5)
[21:14:38 -221545.953756] SLOW spr round 21 (radius: 5)
[21:16:52 -221541.460267] SLOW spr round 22 (radius: 5)
[21:19:04 -221541.459370] SLOW spr round 23 (radius: 10)
[21:21:18 -221541.458710] SLOW spr round 24 (radius: 15)
[21:25:11 -221541.458114] SLOW spr round 25 (radius: 20)
[21:31:13 -221541.457602] SLOW spr round 26 (radius: 25)
[21:38:56 -221541.457160] Model parameter optimization (eps = 0.100000)

[21:39:10] ML tree search #17, logLikelihood: -221540.433341

[21:39:10 -1110835.515212] Initial branch length optimization
[21:39:14 -927193.876761] Model parameter optimization (eps = 10.000000)
[21:39:48 -926853.548439] AUTODETECT spr round 1 (radius: 5)
[21:42:11 -569037.583862] AUTODETECT spr round 2 (radius: 10)
[21:44:51 -390085.569678] AUTODETECT spr round 3 (radius: 15)
[21:47:41 -305588.753444] AUTODETECT spr round 4 (radius: 20)
[21:50:30 -264758.902070] AUTODETECT spr round 5 (radius: 25)
[21:53:41 -252151.297422] SPR radius for FAST iterations: 25 (autodetect)
[21:53:41 -252151.297422] Model parameter optimization (eps = 3.000000)
[21:54:04 -251979.499548] FAST spr round 1 (radius: 25)
[21:56:44 -222856.648610] FAST spr round 2 (radius: 25)
[21:58:56 -221786.132566] FAST spr round 3 (radius: 25)
[22:01:04 -221665.106294] FAST spr round 4 (radius: 25)
[22:03:00 -221658.657133] FAST spr round 5 (radius: 25)
[22:04:48 -221656.125550] FAST spr round 6 (radius: 25)
[22:06:34 -221656.125201] Model parameter optimization (eps = 1.000000)
[22:06:57 -221650.821194] SLOW spr round 1 (radius: 5)
[22:09:19 -221575.964983] SLOW spr round 2 (radius: 5)
[22:11:37 -221561.818032] SLOW spr round 3 (radius: 5)
[22:13:54 -221560.608526] SLOW spr round 4 (radius: 5)
[22:16:07 -221560.608104] SLOW spr round 5 (radius: 10)
[22:18:24 -221560.557154] SLOW spr round 6 (radius: 15)
[22:22:09 -221560.327712] SLOW spr round 7 (radius: 5)
[22:24:57 -221557.086055] SLOW spr round 8 (radius: 5)
[22:27:29 -221557.085163] SLOW spr round 9 (radius: 10)
[22:29:52 -221557.084684] SLOW spr round 10 (radius: 15)
[22:33:26 -221557.084240] SLOW spr round 11 (radius: 20)
[22:39:07 -221557.084200] SLOW spr round 12 (radius: 25)
[22:46:30 -221557.084192] Model parameter optimization (eps = 0.100000)

[22:46:47] ML tree search #18, logLikelihood: -221556.493202

[22:46:47 -1125126.340009] Initial branch length optimization
[22:46:52 -942005.404880] Model parameter optimization (eps = 10.000000)
[22:47:25 -941676.899152] AUTODETECT spr round 1 (radius: 5)
[22:49:49 -594623.310342] AUTODETECT spr round 2 (radius: 10)
[22:52:30 -384501.996852] AUTODETECT spr round 3 (radius: 15)
[22:55:24 -301463.060551] AUTODETECT spr round 4 (radius: 20)
[22:58:15 -272752.978061] AUTODETECT spr round 5 (radius: 25)
[23:01:21 -262910.730959] SPR radius for FAST iterations: 25 (autodetect)
[23:01:21 -262910.730959] Model parameter optimization (eps = 3.000000)
[23:01:41 -262728.466883] FAST spr round 1 (radius: 25)
[23:04:28 -223434.471092] FAST spr round 2 (radius: 25)
[23:06:51 -221756.010911] FAST spr round 3 (radius: 25)
[23:08:57 -221638.445667] FAST spr round 4 (radius: 25)
[23:10:52 -221626.592886] FAST spr round 5 (radius: 25)
[23:12:40 -221626.591227] Model parameter optimization (eps = 1.000000)
[23:12:57 -221621.665022] SLOW spr round 1 (radius: 5)
[23:15:15 -221570.802939] SLOW spr round 2 (radius: 5)
[23:17:34 -221557.414438] SLOW spr round 3 (radius: 5)
[23:19:49 -221557.413848] SLOW spr round 4 (radius: 10)
[23:22:03 -221554.143260] SLOW spr round 5 (radius: 5)
[23:24:47 -221548.668971] SLOW spr round 6 (radius: 5)
[23:27:15 -221547.326272] SLOW spr round 7 (radius: 5)
[23:29:33 -221547.325812] SLOW spr round 8 (radius: 10)
[23:31:50 -221546.745163] SLOW spr round 9 (radius: 5)
[23:34:35 -221546.744475] SLOW spr round 10 (radius: 10)
[23:37:09 -221546.424890] SLOW spr round 11 (radius: 5)
[23:39:49 -221544.708240] SLOW spr round 12 (radius: 5)
[23:42:14 -221544.708209] SLOW spr round 13 (radius: 10)
[23:44:35 -221544.708204] SLOW spr round 14 (radius: 15)
[23:48:15 -221544.708203] SLOW spr round 15 (radius: 20)
[23:54:05 -221544.708203] SLOW spr round 16 (radius: 25)
[24:01:35 -221544.708202] Model parameter optimization (eps = 0.100000)

[24:01:46] ML tree search #19, logLikelihood: -221544.279211

[24:01:46 -1123561.915830] Initial branch length optimization
[24:01:51 -936215.377755] Model parameter optimization (eps = 10.000000)
[24:02:22 -935857.219326] AUTODETECT spr round 1 (radius: 5)
[24:04:49 -589845.628255] AUTODETECT spr round 2 (radius: 10)
[24:07:24 -407245.442867] AUTODETECT spr round 3 (radius: 15)
[24:10:15 -320039.585936] AUTODETECT spr round 4 (radius: 20)
[24:13:07 -285221.417213] AUTODETECT spr round 5 (radius: 25)
[24:16:11 -268541.794769] SPR radius for FAST iterations: 25 (autodetect)
[24:16:11 -268541.794769] Model parameter optimization (eps = 3.000000)
[24:16:30 -268411.581382] FAST spr round 1 (radius: 25)
[24:19:13 -226335.555209] FAST spr round 2 (radius: 25)
[24:21:32 -221831.620377] FAST spr round 3 (radius: 25)
[24:23:31 -221639.522564] FAST spr round 4 (radius: 25)
[24:25:23 -221635.648948] FAST spr round 5 (radius: 25)
[24:27:11 -221632.961866] FAST spr round 6 (radius: 25)
[24:28:58 -221632.961429] Model parameter optimization (eps = 1.000000)
[24:29:14 -221627.542053] SLOW spr round 1 (radius: 5)
[24:31:33 -221568.491348] SLOW spr round 2 (radius: 5)
[24:33:50 -221561.666605] SLOW spr round 3 (radius: 5)
[24:36:04 -221561.666080] SLOW spr round 4 (radius: 10)
[24:38:20 -221560.784875] SLOW spr round 5 (radius: 5)
[24:41:05 -221559.693850] SLOW spr round 6 (radius: 5)
[24:43:34 -221559.691535] SLOW spr round 7 (radius: 10)
[24:45:53 -221559.465791] SLOW spr round 8 (radius: 5)
[24:48:31 -221558.211006] SLOW spr round 9 (radius: 5)
[24:50:55 -221558.209501] SLOW spr round 10 (radius: 10)
[24:53:16 -221558.209376] SLOW spr round 11 (radius: 15)
[24:56:47 -221557.891643] SLOW spr round 12 (radius: 5)
[24:59:33 -221557.763325] SLOW spr round 13 (radius: 5)
[25:02:03 -221557.762903] SLOW spr round 14 (radius: 10)
[25:04:24 -221557.762796] SLOW spr round 15 (radius: 15)
[25:07:54 -221557.762693] SLOW spr round 16 (radius: 20)
[25:13:22 -221557.762590] SLOW spr round 17 (radius: 25)
[25:20:32 -221557.762486] Model parameter optimization (eps = 0.100000)

[25:20:41] ML tree search #20, logLikelihood: -221557.642568


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.160278,0.304777) (0.129715,0.450726) (0.429281,0.858849) (0.280725,1.866583) 
   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: -221525.997978

AIC score: 447057.995956 / AICc score: 8475081.995956 / BIC score: 456252.368956
Free parameters (model + branch lengths): 2003

WARNING: Number of free parameters (K=2003) is larger than alignment size (n=728).
         This might lead to overfitting and compromise tree inference results!


Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N6G6/3_mltree/Q8N6G6.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N6G6/3_mltree/Q8N6G6.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N6G6/3_mltree/Q8N6G6.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8N6G6/3_mltree/Q8N6G6.raxml.log

Analysis started: 06-Jul-2021 12:07:33 / finished: 07-Jul-2021 13:28:15

Elapsed time: 91241.777 seconds

Consumed energy: 8595.458 Wh (= 43 km in an electric car, or 215 km with an e-scooter!)