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 6140 CPU @ 2.30GHz, 36 cores, 251 GB RAM

RAxML-NG was called at 19-Jun-2021 15:56:17 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q16281/2_msa/Q16281_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q16281/3_mltree/Q16281 --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: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q16281/2_msa/Q16281_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 579 sites

WARNING: Sequences tr_B4QGJ8_B4QGJ8_DROSI_7240 and tr_B4I7V0_B4I7V0_DROSE_7238 are exactly identical!
WARNING: Sequences tr_B4QHI0_B4QHI0_DROSI_7240 and tr_B4HSU3_B4HSU3_DROSE_7238 are exactly identical!
WARNING: Sequences tr_Q9W201_Q9W201_DROME_7227 and tr_A0A1W4VR27_A0A1W4VR27_DROFC_30025 are exactly identical!
WARNING: Sequences tr_G3R5Q6_G3R5Q6_GORGO_9595 and tr_A0A2R9B0U6_A0A2R9B0U6_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G3RDA4_G3RDA4_GORGO_9595 and tr_A0A2I3THN5_A0A2I3THN5_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3RDA4_G3RDA4_GORGO_9595 and tr_A0A2J8L312_A0A2J8L312_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3RDA4_G3RDA4_GORGO_9595 and sp_P29973_CNGA1_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_B5E0I5_B5E0I5_DROPS_46245 and tr_B4GHG7_B4GHG7_DROPE_7234 are exactly identical!
WARNING: Sequences tr_F1LS43_F1LS43_RAT_10116 and sp_Q00195_CNGA2_RAT_10116 are exactly identical!
WARNING: Sequences tr_A0A1D5QR46_A0A1D5QR46_MACMU_9544 and tr_A0A0D9RX57_A0A0D9RX57_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_A0A1D5QR46_A0A1D5QR46_MACMU_9544 and tr_A0A2K5KLM6_A0A2K5KLM6_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A1D5QR46_A0A1D5QR46_MACMU_9544 and tr_A0A2K6BXL6_A0A2K6BXL6_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A1D5QR46_A0A1D5QR46_MACMU_9544 and tr_A0A2K5ZU38_A0A2K5ZU38_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F7F1T7_F7F1T7_MACMU_9544 and tr_A0A2K6DBH2_A0A2K6DBH2_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7GZN6_F7GZN6_MACMU_9544 and tr_A0A2K6DCQ2_A0A2K6DCQ2_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7H666_F7H666_MACMU_9544 and tr_G7Q191_G7Q191_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7H666_F7H666_MACMU_9544 and tr_A0A2K6DEN9_A0A2K6DEN9_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F1MBN0_F1MBN0_BOVIN_9913 and sp_Q03041_CNGA2_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_F1MTS7_F1MTS7_BOVIN_9913 and sp_Q28181_CNGB1_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_A0A0V1CI60_A0A0V1CI60_TRIBR_45882 and tr_A0A0V0VP32_A0A0V0VP32_9BILA_181606 are exactly identical!
WARNING: Sequences tr_A0A0V1CI60_A0A0V1CI60_TRIBR_45882 and tr_A0A0V0TR31_A0A0V0TR31_9BILA_144512 are exactly identical!
WARNING: Sequences tr_A0A0V0WDA3_A0A0V0WDA3_9BILA_92179 and tr_A0A0V1KZC9_A0A0V1KZC9_9BILA_6335 are exactly identical!
WARNING: Sequences tr_A0A0V1NII9_A0A0V1NII9_9BILA_92180 and tr_A0A0V0TEF9_A0A0V0TEF9_9BILA_144512 are exactly identical!
WARNING: Sequences tr_A0A0V1PJJ2_A0A0V1PJJ2_9BILA_92180 and tr_A0A0V0U7N4_A0A0V0U7N4_9BILA_144512 are exactly identical!
WARNING: Duplicate sequences found: 24

NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) 
NOTE: was saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q16281/3_mltree/Q16281.raxml.reduced.phy

Alignment comprises 1 partitions and 579 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 579 / 579
Gaps: 12.06 %
Invariant sites: 0.35 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q16281/3_mltree/Q16281.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 1001 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 83 / 6640
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -898000.358196] Initial branch length optimization
[00:00:03 -743129.494961] Model parameter optimization (eps = 10.000000)
[00:00:32 -741252.207376] AUTODETECT spr round 1 (radius: 5)
[00:02:31 -538993.502274] AUTODETECT spr round 2 (radius: 10)
[00:04:47 -388141.327305] AUTODETECT spr round 3 (radius: 15)
[00:07:14 -304646.590441] AUTODETECT spr round 4 (radius: 20)
[00:10:05 -269695.190982] AUTODETECT spr round 5 (radius: 25)
[00:13:26 -259468.679482] SPR radius for FAST iterations: 25 (autodetect)
[00:13:26 -259468.679482] Model parameter optimization (eps = 3.000000)
[00:13:48 -259079.256705] FAST spr round 1 (radius: 25)
[00:16:13 -228163.213584] FAST spr round 2 (radius: 25)
[00:18:10 -226964.485969] FAST spr round 3 (radius: 25)
[00:19:57 -226863.444450] FAST spr round 4 (radius: 25)
[00:21:36 -226852.629930] FAST spr round 5 (radius: 25)
[00:23:10 -226852.629697] Model parameter optimization (eps = 1.000000)
[00:23:26 -226849.986491] SLOW spr round 1 (radius: 5)
[00:25:30 -226819.134415] SLOW spr round 2 (radius: 5)
[00:27:31 -226816.971679] SLOW spr round 3 (radius: 5)
[00:29:27 -226816.971549] SLOW spr round 4 (radius: 10)
[00:31:24 -226808.876380] SLOW spr round 5 (radius: 5)
[00:33:42 -226808.872561] SLOW spr round 6 (radius: 10)
[00:35:50 -226808.871954] SLOW spr round 7 (radius: 15)
[00:38:32 -226808.871793] SLOW spr round 8 (radius: 20)
[00:43:05 -226808.871708] SLOW spr round 9 (radius: 25)
[00:49:03 -226808.871642] Model parameter optimization (eps = 0.100000)

[00:49:08] ML tree search #1, logLikelihood: -226808.829483

[00:49:09 -903872.591348] Initial branch length optimization
[00:49:11 -747194.333729] Model parameter optimization (eps = 10.000000)
[00:49:42 -745232.285200] AUTODETECT spr round 1 (radius: 5)
[00:51:41 -532329.113412] AUTODETECT spr round 2 (radius: 10)
[00:54:00 -365919.808519] AUTODETECT spr round 3 (radius: 15)
[00:56:23 -304133.490749] AUTODETECT spr round 4 (radius: 20)
[00:59:02 -280820.264572] AUTODETECT spr round 5 (radius: 25)
[01:02:23 -267237.171171] SPR radius for FAST iterations: 25 (autodetect)
[01:02:23 -267237.171171] Model parameter optimization (eps = 3.000000)
[01:02:43 -266870.214363] FAST spr round 1 (radius: 25)
[01:05:11 -228475.027391] FAST spr round 2 (radius: 25)
[01:07:07 -227007.972092] FAST spr round 3 (radius: 25)
[01:08:53 -226897.255943] FAST spr round 4 (radius: 25)
[01:10:32 -226877.033919] FAST spr round 5 (radius: 25)
[01:12:05 -226875.646295] FAST spr round 6 (radius: 25)
[01:13:37 -226875.646289] Model parameter optimization (eps = 1.000000)
[01:13:50 -226872.674263] SLOW spr round 1 (radius: 5)
[01:15:51 -226817.353694] SLOW spr round 2 (radius: 5)
[01:17:48 -226808.157267] SLOW spr round 3 (radius: 5)
[01:19:42 -226808.086382] SLOW spr round 4 (radius: 10)
[01:21:38 -226808.086376] SLOW spr round 5 (radius: 15)
[01:24:32 -226808.086374] SLOW spr round 6 (radius: 20)
[01:28:48 -226808.086372] SLOW spr round 7 (radius: 25)
[01:34:36 -226808.086370] Model parameter optimization (eps = 0.100000)

[01:34:43] ML tree search #2, logLikelihood: -226808.011202

[01:34:44 -909743.347999] Initial branch length optimization
[01:34:47 -750500.789428] Model parameter optimization (eps = 10.000000)
[01:35:16 -748600.679335] AUTODETECT spr round 1 (radius: 5)
[01:37:13 -534048.783753] AUTODETECT spr round 2 (radius: 10)
[01:39:21 -393170.012418] AUTODETECT spr round 3 (radius: 15)
[01:41:43 -310943.768228] AUTODETECT spr round 4 (radius: 20)
[01:44:22 -277649.593172] AUTODETECT spr round 5 (radius: 25)
[01:47:31 -267258.554250] SPR radius for FAST iterations: 25 (autodetect)
[01:47:31 -267258.554250] Model parameter optimization (eps = 3.000000)
[01:47:52 -266911.637468] FAST spr round 1 (radius: 25)
[01:50:11 -228483.936671] FAST spr round 2 (radius: 25)
[01:52:03 -226958.369475] FAST spr round 3 (radius: 25)
[01:53:46 -226850.837806] FAST spr round 4 (radius: 25)
[01:55:17 -226848.618054] FAST spr round 5 (radius: 25)
[01:56:45 -226848.616199] Model parameter optimization (eps = 1.000000)
[01:57:02 -226837.455043] SLOW spr round 1 (radius: 5)
[01:59:03 -226805.582749] SLOW spr round 2 (radius: 5)
[02:01:00 -226800.862692] SLOW spr round 3 (radius: 5)
[02:02:49 -226800.654136] SLOW spr round 4 (radius: 5)
[02:04:39 -226800.654134] SLOW spr round 5 (radius: 10)
[02:06:31 -226798.392780] SLOW spr round 6 (radius: 5)
[02:08:54 -226798.339665] SLOW spr round 7 (radius: 10)
[02:11:05 -226798.339663] SLOW spr round 8 (radius: 15)
[02:13:50 -226798.339662] SLOW spr round 9 (radius: 20)
[02:18:17 -226798.339660] SLOW spr round 10 (radius: 25)
[02:24:01 -226798.339659] Model parameter optimization (eps = 0.100000)

[02:24:11] ML tree search #3, logLikelihood: -226797.704033

[02:24:11 -907619.879373] Initial branch length optimization
[02:24:14 -750044.421638] Model parameter optimization (eps = 10.000000)
[02:24:46 -748161.920273] AUTODETECT spr round 1 (radius: 5)
[02:26:48 -534071.836511] AUTODETECT spr round 2 (radius: 10)
[02:29:07 -369727.821396] AUTODETECT spr round 3 (radius: 15)
[02:31:27 -313617.471350] AUTODETECT spr round 4 (radius: 20)
[02:34:25 -266183.897984] AUTODETECT spr round 5 (radius: 25)
[02:37:46 -262347.132281] SPR radius for FAST iterations: 25 (autodetect)
[02:37:46 -262347.132281] Model parameter optimization (eps = 3.000000)
[02:38:21 -262027.743998] FAST spr round 1 (radius: 25)
[02:40:42 -228847.834498] FAST spr round 2 (radius: 25)
[02:42:40 -226913.113855] FAST spr round 3 (radius: 25)
[02:44:29 -226852.739536] FAST spr round 4 (radius: 25)
[02:46:07 -226849.443984] FAST spr round 5 (radius: 25)
[02:47:40 -226849.443862] Model parameter optimization (eps = 1.000000)
[02:47:55 -226842.814738] SLOW spr round 1 (radius: 5)
[02:50:01 -226812.614572] SLOW spr round 2 (radius: 5)
[02:51:59 -226810.987181] SLOW spr round 3 (radius: 5)
[02:53:53 -226810.987151] SLOW spr round 4 (radius: 10)
[02:55:54 -226806.710678] SLOW spr round 5 (radius: 5)
[02:58:14 -226806.071458] SLOW spr round 6 (radius: 5)
[03:00:23 -226806.071420] SLOW spr round 7 (radius: 10)
[03:02:25 -226806.071414] SLOW spr round 8 (radius: 15)
[03:05:16 -226806.071408] SLOW spr round 9 (radius: 20)
[03:09:36 -226806.071402] SLOW spr round 10 (radius: 25)
[03:15:25 -226806.071396] Model parameter optimization (eps = 0.100000)

[03:15:33] ML tree search #4, logLikelihood: -226805.823786

[03:15:33 -903946.790085] Initial branch length optimization
[03:15:36 -747659.256849] Model parameter optimization (eps = 10.000000)
[03:16:02 -745722.687030] AUTODETECT spr round 1 (radius: 5)
[03:18:02 -531136.047052] AUTODETECT spr round 2 (radius: 10)
[03:20:16 -386915.295679] AUTODETECT spr round 3 (radius: 15)
[03:22:40 -310618.480930] AUTODETECT spr round 4 (radius: 20)
[03:25:27 -270072.559504] AUTODETECT spr round 5 (radius: 25)
[03:28:35 -261102.414542] SPR radius for FAST iterations: 25 (autodetect)
[03:28:35 -261102.414542] Model parameter optimization (eps = 3.000000)
[03:29:06 -260819.689891] FAST spr round 1 (radius: 25)
[03:31:29 -228098.062586] FAST spr round 2 (radius: 25)
[03:33:21 -227026.416235] FAST spr round 3 (radius: 25)
[03:35:01 -226923.777594] FAST spr round 4 (radius: 25)
[03:36:35 -226903.834580] FAST spr round 5 (radius: 25)
[03:38:04 -226903.275521] FAST spr round 6 (radius: 25)
[03:39:32 -226903.275088] Model parameter optimization (eps = 1.000000)
[03:39:48 -226895.463479] SLOW spr round 1 (radius: 5)
[03:41:47 -226844.349927] SLOW spr round 2 (radius: 5)
[03:43:42 -226826.309725] SLOW spr round 3 (radius: 5)
[03:45:34 -226826.309405] SLOW spr round 4 (radius: 10)
[03:47:26 -226818.465320] SLOW spr round 5 (radius: 5)
[03:49:41 -226818.010034] SLOW spr round 6 (radius: 5)
[03:51:43 -226818.009920] SLOW spr round 7 (radius: 10)
[03:53:36 -226817.573662] SLOW spr round 8 (radius: 5)
[03:55:49 -226817.573598] SLOW spr round 9 (radius: 10)
[03:57:50 -226817.573592] SLOW spr round 10 (radius: 15)
[04:00:28 -226817.573586] SLOW spr round 11 (radius: 20)
[04:04:55 -226817.573580] SLOW spr round 12 (radius: 25)
[04:10:50 -226817.573575] Model parameter optimization (eps = 0.100000)

[04:11:06] ML tree search #5, logLikelihood: -226815.903055

[04:11:06 -906387.641105] Initial branch length optimization
[04:11:10 -749147.336863] Model parameter optimization (eps = 10.000000)
[04:11:38 -747201.642254] AUTODETECT spr round 1 (radius: 5)
[04:13:41 -525175.923983] AUTODETECT spr round 2 (radius: 10)
[04:15:55 -384560.644945] AUTODETECT spr round 3 (radius: 15)
[04:18:25 -291388.081194] AUTODETECT spr round 4 (radius: 20)
[04:21:08 -263415.884023] AUTODETECT spr round 5 (radius: 25)
[04:24:26 -257148.767950] SPR radius for FAST iterations: 25 (autodetect)
[04:24:26 -257148.767950] Model parameter optimization (eps = 3.000000)
[04:24:52 -256787.693230] FAST spr round 1 (radius: 25)
[04:27:15 -228176.279928] FAST spr round 2 (radius: 25)
[04:29:15 -226984.102562] FAST spr round 3 (radius: 25)
[04:31:05 -226887.917536] FAST spr round 4 (radius: 25)
[04:32:44 -226881.553379] FAST spr round 5 (radius: 25)
[04:34:21 -226878.528723] FAST spr round 6 (radius: 25)
[04:35:58 -226876.211557] FAST spr round 7 (radius: 25)
[04:37:32 -226876.211442] Model parameter optimization (eps = 1.000000)
[04:37:49 -226871.102457] SLOW spr round 1 (radius: 5)
[04:39:57 -226823.367397] SLOW spr round 2 (radius: 5)
[04:41:58 -226819.606574] SLOW spr round 3 (radius: 5)
[04:43:54 -226819.606489] SLOW spr round 4 (radius: 10)
[04:45:52 -226813.738442] SLOW spr round 5 (radius: 5)
[04:48:13 -226813.738298] SLOW spr round 6 (radius: 10)
[04:50:24 -226813.738274] SLOW spr round 7 (radius: 15)
[04:53:08 -226813.738255] SLOW spr round 8 (radius: 20)
[04:57:33 -226813.738238] SLOW spr round 9 (radius: 25)
[05:03:21 -226813.738221] Model parameter optimization (eps = 0.100000)

[05:03:36] ML tree search #6, logLikelihood: -226812.212857

[05:03:36 -906563.501539] Initial branch length optimization
[05:03:39 -747355.489704] Model parameter optimization (eps = 10.000000)
[05:04:13 -745432.977500] AUTODETECT spr round 1 (radius: 5)
[05:06:14 -536217.952132] AUTODETECT spr round 2 (radius: 10)
[05:08:29 -393588.294326] AUTODETECT spr round 3 (radius: 15)
[05:10:48 -330744.893212] AUTODETECT spr round 4 (radius: 20)
[05:13:48 -284507.363044] AUTODETECT spr round 5 (radius: 25)
[05:17:11 -264399.577349] SPR radius for FAST iterations: 25 (autodetect)
[05:17:11 -264399.577349] Model parameter optimization (eps = 3.000000)
[05:17:34 -264105.058722] FAST spr round 1 (radius: 25)
[05:20:01 -228776.351690] FAST spr round 2 (radius: 25)
[05:21:58 -226964.454323] FAST spr round 3 (radius: 25)
[05:23:45 -226854.061868] FAST spr round 4 (radius: 25)
[05:25:20 -226845.391650] FAST spr round 5 (radius: 25)
[05:26:51 -226845.389878] Model parameter optimization (eps = 1.000000)
[05:26:58 -226844.396668] SLOW spr round 1 (radius: 5)
[05:28:59 -226814.693756] SLOW spr round 2 (radius: 5)
[05:30:58 -226806.452623] SLOW spr round 3 (radius: 5)
[05:32:50 -226804.096930] SLOW spr round 4 (radius: 5)
[05:34:39 -226804.096916] SLOW spr round 5 (radius: 10)
[05:36:30 -226804.096914] SLOW spr round 6 (radius: 15)
[05:39:21 -226804.096913] SLOW spr round 7 (radius: 20)
[05:43:38 -226804.096913] SLOW spr round 8 (radius: 25)
[05:49:32 -226804.096912] Model parameter optimization (eps = 0.100000)

[05:49:44] ML tree search #7, logLikelihood: -226803.904326

[05:49:44 -907914.816581] Initial branch length optimization
[05:49:47 -749127.952257] Model parameter optimization (eps = 10.000000)
[05:50:19 -747226.021852] AUTODETECT spr round 1 (radius: 5)
[05:52:14 -532163.029765] AUTODETECT spr round 2 (radius: 10)
[05:54:25 -376759.865000] AUTODETECT spr round 3 (radius: 15)
[05:56:44 -310465.396610] AUTODETECT spr round 4 (radius: 20)
[05:59:33 -282423.761298] AUTODETECT spr round 5 (radius: 25)
[06:02:35 -265549.019664] SPR radius for FAST iterations: 25 (autodetect)
[06:02:35 -265549.019664] Model parameter optimization (eps = 3.000000)
[06:03:00 -265155.510722] FAST spr round 1 (radius: 25)
[06:05:15 -228032.222739] FAST spr round 2 (radius: 25)
[06:07:04 -226949.566616] FAST spr round 3 (radius: 25)
[06:08:52 -226900.438715] FAST spr round 4 (radius: 25)
[06:10:32 -226896.966680] FAST spr round 5 (radius: 25)
[06:12:10 -226896.966655] Model parameter optimization (eps = 1.000000)
[06:12:25 -226887.359746] SLOW spr round 1 (radius: 5)
[06:14:35 -226837.991890] SLOW spr round 2 (radius: 5)
[06:16:41 -226824.141399] SLOW spr round 3 (radius: 5)
[06:18:40 -226820.954780] SLOW spr round 4 (radius: 5)
[06:20:36 -226820.954689] SLOW spr round 5 (radius: 10)
[06:22:34 -226820.326182] SLOW spr round 6 (radius: 5)
[06:24:56 -226819.854650] SLOW spr round 7 (radius: 5)
[06:27:04 -226819.854562] SLOW spr round 8 (radius: 10)
[06:29:06 -226819.854557] SLOW spr round 9 (radius: 15)
[06:31:51 -226819.854553] SLOW spr round 10 (radius: 20)
[06:35:55 -226819.854549] SLOW spr round 11 (radius: 25)
[06:41:33 -226819.854545] Model parameter optimization (eps = 0.100000)

[06:41:44] ML tree search #8, logLikelihood: -226819.691332

[06:41:44 -906030.550749] Initial branch length optimization
[06:41:47 -749513.626715] Model parameter optimization (eps = 10.000000)
[06:42:12 -747697.740358] AUTODETECT spr round 1 (radius: 5)
[06:44:13 -523810.673590] AUTODETECT spr round 2 (radius: 10)
[06:46:29 -376267.289164] AUTODETECT spr round 3 (radius: 15)
[06:48:57 -298414.986847] AUTODETECT spr round 4 (radius: 20)
[06:51:42 -269180.338188] AUTODETECT spr round 5 (radius: 25)
[06:54:59 -260552.705498] SPR radius for FAST iterations: 25 (autodetect)
[06:54:59 -260552.705498] Model parameter optimization (eps = 3.000000)
[06:55:38 -260230.963167] FAST spr round 1 (radius: 25)
[06:58:06 -228703.377352] FAST spr round 2 (radius: 25)
[07:00:08 -226976.667566] FAST spr round 3 (radius: 25)
[07:01:59 -226870.729692] FAST spr round 4 (radius: 25)
[07:03:39 -226858.640790] FAST spr round 5 (radius: 25)
[07:05:17 -226858.640786] Model parameter optimization (eps = 1.000000)
[07:05:31 -226857.090768] SLOW spr round 1 (radius: 5)
[07:07:37 -226827.419302] SLOW spr round 2 (radius: 5)
[07:09:36 -226822.817589] SLOW spr round 3 (radius: 5)
[07:11:31 -226819.260797] SLOW spr round 4 (radius: 5)
[07:13:26 -226817.392627] SLOW spr round 5 (radius: 5)
[07:15:20 -226817.392624] SLOW spr round 6 (radius: 10)
[07:17:16 -226817.392623] SLOW spr round 7 (radius: 15)
[07:20:11 -226817.392623] SLOW spr round 8 (radius: 20)
[07:24:26 -226817.392623] SLOW spr round 9 (radius: 25)
[07:30:15 -226817.392623] Model parameter optimization (eps = 0.100000)

[07:30:23] ML tree search #9, logLikelihood: -226817.045468

[07:30:23 -910539.469265] Initial branch length optimization
[07:30:26 -754108.836114] Model parameter optimization (eps = 10.000000)
[07:30:52 -752192.732977] AUTODETECT spr round 1 (radius: 5)
[07:32:50 -529044.381436] AUTODETECT spr round 2 (radius: 10)
[07:35:04 -369505.647949] AUTODETECT spr round 3 (radius: 15)
[07:37:20 -297814.724726] AUTODETECT spr round 4 (radius: 20)
[07:39:46 -274510.304013] AUTODETECT spr round 5 (radius: 25)
[07:42:30 -265578.378110] SPR radius for FAST iterations: 25 (autodetect)
[07:42:30 -265578.378110] Model parameter optimization (eps = 3.000000)
[07:42:52 -265215.902181] FAST spr round 1 (radius: 25)
[07:45:14 -228693.030329] FAST spr round 2 (radius: 25)
[07:47:09 -227036.086142] FAST spr round 3 (radius: 25)
[07:48:51 -226949.972586] FAST spr round 4 (radius: 25)
[07:50:26 -226893.124456] FAST spr round 5 (radius: 25)
[07:51:57 -226892.025801] FAST spr round 6 (radius: 25)
[07:53:27 -226892.025514] Model parameter optimization (eps = 1.000000)
[07:53:41 -226888.399358] SLOW spr round 1 (radius: 5)
[07:55:44 -226829.945937] SLOW spr round 2 (radius: 5)
[07:57:39 -226821.207101] SLOW spr round 3 (radius: 5)
[07:59:31 -226821.207046] SLOW spr round 4 (radius: 10)
[08:01:24 -226813.806163] SLOW spr round 5 (radius: 5)
[08:03:41 -226812.872203] SLOW spr round 6 (radius: 5)
[08:05:44 -226812.871659] SLOW spr round 7 (radius: 10)
[08:07:40 -226810.393536] SLOW spr round 8 (radius: 5)
[08:09:56 -226809.313570] SLOW spr round 9 (radius: 5)
[08:11:57 -226809.312974] SLOW spr round 10 (radius: 10)
[08:13:59 -226809.312950] SLOW spr round 11 (radius: 15)
[08:16:56 -226809.312939] SLOW spr round 12 (radius: 20)
[08:21:26 -226809.312928] SLOW spr round 13 (radius: 25)
[08:27:30 -226809.312918] Model parameter optimization (eps = 0.100000)

[08:27:42] ML tree search #10, logLikelihood: -226807.517717

[08:27:43 -905781.222583] Initial branch length optimization
[08:27:46 -747678.633310] Model parameter optimization (eps = 10.000000)
[08:28:15 -745812.432367] AUTODETECT spr round 1 (radius: 5)
[08:30:18 -527036.545381] AUTODETECT spr round 2 (radius: 10)
[08:32:35 -384576.953834] AUTODETECT spr round 3 (radius: 15)
[08:34:53 -321972.178600] AUTODETECT spr round 4 (radius: 20)
[08:37:39 -293745.879670] AUTODETECT spr round 5 (radius: 25)
[08:41:03 -270643.554829] SPR radius for FAST iterations: 25 (autodetect)
[08:41:03 -270643.554829] Model parameter optimization (eps = 3.000000)
[08:41:30 -270194.288646] FAST spr round 1 (radius: 25)
[08:43:53 -229088.018381] FAST spr round 2 (radius: 25)
[08:45:49 -227035.320217] FAST spr round 3 (radius: 25)
[08:47:35 -226910.625169] FAST spr round 4 (radius: 25)
[08:49:15 -226895.627442] FAST spr round 5 (radius: 25)
[08:50:50 -226891.905571] FAST spr round 6 (radius: 25)
[08:52:25 -226891.905559] Model parameter optimization (eps = 1.000000)
[08:52:41 -226887.687252] SLOW spr round 1 (radius: 5)
[08:54:46 -226838.509621] SLOW spr round 2 (radius: 5)
[08:56:48 -226828.902329] SLOW spr round 3 (radius: 5)
[08:58:50 -226818.320286] SLOW spr round 4 (radius: 5)
[09:00:47 -226818.320273] SLOW spr round 5 (radius: 10)
[09:02:46 -226816.087403] SLOW spr round 6 (radius: 5)
[09:05:10 -226816.034374] SLOW spr round 7 (radius: 10)
[09:07:22 -226816.034372] SLOW spr round 8 (radius: 15)
[09:10:09 -226816.034370] SLOW spr round 9 (radius: 20)
[09:14:47 -226816.034368] SLOW spr round 10 (radius: 25)
[09:20:47 -226816.034366] Model parameter optimization (eps = 0.100000)

[09:20:54] ML tree search #11, logLikelihood: -226815.934834

[09:20:54 -909596.373728] Initial branch length optimization
[09:20:57 -750503.946289] Model parameter optimization (eps = 10.000000)
[09:21:22 -748592.923144] AUTODETECT spr round 1 (radius: 5)
[09:23:23 -527205.022105] AUTODETECT spr round 2 (radius: 10)
[09:25:38 -375369.236735] AUTODETECT spr round 3 (radius: 15)
[09:28:00 -314293.646794] AUTODETECT spr round 4 (radius: 20)
[09:30:43 -282126.924737] AUTODETECT spr round 5 (radius: 25)
[09:33:48 -262439.325066] SPR radius for FAST iterations: 25 (autodetect)
[09:33:48 -262439.325066] Model parameter optimization (eps = 3.000000)
[09:34:16 -262105.236892] FAST spr round 1 (radius: 25)
[09:36:40 -228101.524677] FAST spr round 2 (radius: 25)
[09:38:31 -227001.032830] FAST spr round 3 (radius: 25)
[09:40:12 -226890.057172] FAST spr round 4 (radius: 25)
[09:41:47 -226880.524635] FAST spr round 5 (radius: 25)
[09:43:19 -226879.173233] FAST spr round 6 (radius: 25)
[09:44:49 -226879.172858] Model parameter optimization (eps = 1.000000)
[09:45:02 -226877.519273] SLOW spr round 1 (radius: 5)
[09:46:58 -226834.411283] SLOW spr round 2 (radius: 5)
[09:48:56 -226823.692495] SLOW spr round 3 (radius: 5)
[09:50:48 -226820.420054] SLOW spr round 4 (radius: 5)
[09:52:38 -226820.419938] SLOW spr round 5 (radius: 10)
[09:54:30 -226816.889662] SLOW spr round 6 (radius: 5)
[09:56:48 -226813.827437] SLOW spr round 7 (radius: 5)
[09:58:53 -226813.169598] SLOW spr round 8 (radius: 5)
[10:00:51 -226805.775284] SLOW spr round 9 (radius: 5)
[10:02:43 -226805.774957] SLOW spr round 10 (radius: 10)
[10:04:36 -226805.774890] SLOW spr round 11 (radius: 15)
[10:07:27 -226805.774854] SLOW spr round 12 (radius: 20)
[10:11:35 -226805.774822] SLOW spr round 13 (radius: 25)
[10:17:22 -226805.774793] Model parameter optimization (eps = 0.100000)

[10:17:34] ML tree search #12, logLikelihood: -226805.337758

[10:17:34 -906786.649651] Initial branch length optimization
[10:17:38 -750993.277434] Model parameter optimization (eps = 10.000000)
[10:18:05 -749034.971151] AUTODETECT spr round 1 (radius: 5)
[10:20:04 -530585.696722] AUTODETECT spr round 2 (radius: 10)
[10:22:24 -388573.528757] AUTODETECT spr round 3 (radius: 15)
[10:24:43 -304077.851265] AUTODETECT spr round 4 (radius: 20)
[10:27:18 -275711.825774] AUTODETECT spr round 5 (radius: 25)
[10:30:17 -266814.380327] SPR radius for FAST iterations: 25 (autodetect)
[10:30:17 -266814.380327] Model parameter optimization (eps = 3.000000)
[10:30:39 -266422.755921] FAST spr round 1 (radius: 25)
[10:33:07 -228708.219037] FAST spr round 2 (radius: 25)
[10:35:04 -227048.944409] FAST spr round 3 (radius: 25)
[10:36:54 -226930.843479] FAST spr round 4 (radius: 25)
[10:38:34 -226880.623449] FAST spr round 5 (radius: 25)
[10:40:11 -226858.704072] FAST spr round 6 (radius: 25)
[10:41:46 -226853.065659] FAST spr round 7 (radius: 25)
[10:43:19 -226853.065582] Model parameter optimization (eps = 1.000000)
[10:43:37 -226851.386968] SLOW spr round 1 (radius: 5)
[10:45:40 -226811.166613] SLOW spr round 2 (radius: 5)
[10:47:40 -226808.831789] SLOW spr round 3 (radius: 5)
[10:49:37 -226808.831463] SLOW spr round 4 (radius: 10)
[10:51:35 -226802.389142] SLOW spr round 5 (radius: 5)
[10:53:57 -226802.389063] SLOW spr round 6 (radius: 10)
[10:56:06 -226802.389058] SLOW spr round 7 (radius: 15)
[10:58:50 -226802.389055] SLOW spr round 8 (radius: 20)
[11:03:18 -226802.389053] SLOW spr round 9 (radius: 25)
[11:09:06 -226802.389050] Model parameter optimization (eps = 0.100000)

[11:09:14] ML tree search #13, logLikelihood: -226802.278055

[11:09:14 -906449.108975] Initial branch length optimization
[11:09:17 -748504.136898] Model parameter optimization (eps = 10.000000)
[11:09:47 -746577.554608] AUTODETECT spr round 1 (radius: 5)
[11:11:51 -534472.901672] AUTODETECT spr round 2 (radius: 10)
[11:14:10 -383967.708174] AUTODETECT spr round 3 (radius: 15)
[11:16:38 -301244.934943] AUTODETECT spr round 4 (radius: 20)
[11:19:27 -276922.790735] AUTODETECT spr round 5 (radius: 25)
[11:22:38 -267458.515876] SPR radius for FAST iterations: 25 (autodetect)
[11:22:38 -267458.515876] Model parameter optimization (eps = 3.000000)
[11:23:04 -267050.875996] FAST spr round 1 (radius: 25)
[11:25:28 -230188.821979] FAST spr round 2 (radius: 25)
[11:27:29 -227164.343825] FAST spr round 3 (radius: 25)
[11:29:18 -226865.421063] FAST spr round 4 (radius: 25)
[11:30:57 -226854.978633] FAST spr round 5 (radius: 25)
[11:32:31 -226854.978415] Model parameter optimization (eps = 1.000000)
[11:32:46 -226849.618650] SLOW spr round 1 (radius: 5)
[11:34:49 -226803.244626] SLOW spr round 2 (radius: 5)
[11:36:48 -226801.365469] SLOW spr round 3 (radius: 5)
[11:38:43 -226801.364566] SLOW spr round 4 (radius: 10)
[11:40:41 -226801.364334] SLOW spr round 5 (radius: 15)
[11:43:34 -226801.364146] SLOW spr round 6 (radius: 20)
[11:47:47 -226801.363968] SLOW spr round 7 (radius: 25)
[11:53:28 -226801.363799] Model parameter optimization (eps = 0.100000)

[11:53:33] ML tree search #14, logLikelihood: -226801.304976

[11:53:33 -908036.200272] Initial branch length optimization
[11:53:37 -748447.698693] Model parameter optimization (eps = 10.000000)
[11:54:01 -746590.274062] AUTODETECT spr round 1 (radius: 5)
[11:55:57 -538810.330528] AUTODETECT spr round 2 (radius: 10)
[11:58:10 -387639.639236] AUTODETECT spr round 3 (radius: 15)
[12:00:25 -312220.293989] AUTODETECT spr round 4 (radius: 20)
[12:02:59 -275668.112977] AUTODETECT spr round 5 (radius: 25)
[12:05:46 -265812.254082] SPR radius for FAST iterations: 25 (autodetect)
[12:05:46 -265812.254082] Model parameter optimization (eps = 3.000000)
[12:06:04 -265545.661362] FAST spr round 1 (radius: 25)
[12:08:22 -228828.018680] FAST spr round 2 (radius: 25)
[12:10:11 -227028.980198] FAST spr round 3 (radius: 25)
[12:11:52 -226900.746182] FAST spr round 4 (radius: 25)
[12:13:26 -226880.313056] FAST spr round 5 (radius: 25)
[12:14:56 -226875.396845] FAST spr round 6 (radius: 25)
[12:16:23 -226875.396763] Model parameter optimization (eps = 1.000000)
[12:16:36 -226866.372271] SLOW spr round 1 (radius: 5)
[12:18:32 -226824.948490] SLOW spr round 2 (radius: 5)
[12:20:26 -226822.282161] SLOW spr round 3 (radius: 5)
[12:22:16 -226822.282082] SLOW spr round 4 (radius: 10)
[12:24:06 -226821.878481] SLOW spr round 5 (radius: 5)
[12:26:21 -226821.878450] SLOW spr round 6 (radius: 10)
[12:28:24 -226821.878425] SLOW spr round 7 (radius: 15)
[12:31:06 -226821.878401] SLOW spr round 8 (radius: 20)
[12:35:35 -226821.878378] SLOW spr round 9 (radius: 25)
[12:41:23 -226821.878357] Model parameter optimization (eps = 0.100000)

[12:41:33] ML tree search #15, logLikelihood: -226821.753782

[12:41:33 -907603.523856] Initial branch length optimization
[12:41:36 -749551.741849] Model parameter optimization (eps = 10.000000)
[12:42:05 -747575.613025] AUTODETECT spr round 1 (radius: 5)
[12:44:07 -536448.334314] AUTODETECT spr round 2 (radius: 10)
[12:46:23 -382138.871548] AUTODETECT spr round 3 (radius: 15)
[12:48:42 -301963.984746] AUTODETECT spr round 4 (radius: 20)
[12:51:37 -267747.117161] AUTODETECT spr round 5 (radius: 25)
[12:54:49 -261814.457772] SPR radius for FAST iterations: 25 (autodetect)
[12:54:49 -261814.457772] Model parameter optimization (eps = 3.000000)
[12:55:19 -261530.206667] FAST spr round 1 (radius: 25)
[12:57:48 -228646.567254] FAST spr round 2 (radius: 25)
[12:59:46 -227039.667252] FAST spr round 3 (radius: 25)
[13:01:39 -226902.819711] FAST spr round 4 (radius: 25)
[13:03:19 -226898.759471] FAST spr round 5 (radius: 25)
[13:04:57 -226898.759413] Model parameter optimization (eps = 1.000000)
[13:05:13 -226892.071353] SLOW spr round 1 (radius: 5)
[13:07:22 -226824.623247] SLOW spr round 2 (radius: 5)
[13:09:23 -226820.411019] SLOW spr round 3 (radius: 5)
[13:11:17 -226820.410946] SLOW spr round 4 (radius: 10)
[13:13:18 -226815.147643] SLOW spr round 5 (radius: 5)
[13:15:39 -226814.721530] SLOW spr round 6 (radius: 5)
[13:17:49 -226814.720864] SLOW spr round 7 (radius: 10)
[13:19:51 -226814.720755] SLOW spr round 8 (radius: 15)
[13:22:46 -226814.720725] SLOW spr round 9 (radius: 20)
[13:27:15 -226814.720711] SLOW spr round 10 (radius: 25)
[13:33:18 -226814.720701] Model parameter optimization (eps = 0.100000)

[13:33:30] ML tree search #16, logLikelihood: -226813.705814

[13:33:30 -899154.535628] Initial branch length optimization
[13:33:35 -745669.239122] Model parameter optimization (eps = 10.000000)
[13:34:10 -743750.169825] AUTODETECT spr round 1 (radius: 5)
[13:36:11 -523467.475374] AUTODETECT spr round 2 (radius: 10)
[13:38:27 -376735.676849] AUTODETECT spr round 3 (radius: 15)
[13:40:52 -307844.650339] AUTODETECT spr round 4 (radius: 20)
[13:43:42 -275799.271565] AUTODETECT spr round 5 (radius: 25)
[13:47:05 -264447.523493] SPR radius for FAST iterations: 25 (autodetect)
[13:47:05 -264447.523493] Model parameter optimization (eps = 3.000000)
[13:47:38 -264061.478413] FAST spr round 1 (radius: 25)
[13:50:07 -228629.916011] FAST spr round 2 (radius: 25)
[13:52:01 -227014.958973] FAST spr round 3 (radius: 25)
[13:53:45 -226873.957068] FAST spr round 4 (radius: 25)
[13:55:22 -226857.965360] FAST spr round 5 (radius: 25)
[13:56:55 -226856.727031] FAST spr round 6 (radius: 25)
[13:58:25 -226856.726566] Model parameter optimization (eps = 1.000000)
[13:58:39 -226855.188408] SLOW spr round 1 (radius: 5)
[14:00:39 -226803.037169] SLOW spr round 2 (radius: 5)
[14:02:35 -226796.678978] SLOW spr round 3 (radius: 5)
[14:04:25 -226796.678461] SLOW spr round 4 (radius: 10)
[14:06:17 -226796.678419] SLOW spr round 5 (radius: 15)
[14:09:05 -226796.678385] SLOW spr round 6 (radius: 20)
[14:13:11 -226796.678352] SLOW spr round 7 (radius: 25)
[14:18:48 -226796.678320] Model parameter optimization (eps = 0.100000)

[14:18:54] ML tree search #17, logLikelihood: -226796.635724

[14:18:54 -909870.715496] Initial branch length optimization
[14:18:57 -747014.302589] Model parameter optimization (eps = 10.000000)
[14:19:23 -745256.552884] AUTODETECT spr round 1 (radius: 5)
[14:21:19 -530191.753799] AUTODETECT spr round 2 (radius: 10)
[14:23:29 -384658.314958] AUTODETECT spr round 3 (radius: 15)
[14:25:46 -318672.895094] AUTODETECT spr round 4 (radius: 20)
[14:28:25 -279380.249943] AUTODETECT spr round 5 (radius: 25)
[14:31:36 -263995.153307] SPR radius for FAST iterations: 25 (autodetect)
[14:31:36 -263995.153307] Model parameter optimization (eps = 3.000000)
[14:32:04 -263665.786230] FAST spr round 1 (radius: 25)
[14:34:25 -228909.822725] FAST spr round 2 (radius: 25)
[14:36:26 -227016.166344] FAST spr round 3 (radius: 25)
[14:38:14 -226909.012608] FAST spr round 4 (radius: 25)
[14:39:56 -226882.977595] FAST spr round 5 (radius: 25)
[14:41:34 -226875.880474] FAST spr round 6 (radius: 25)
[14:43:10 -226874.354835] FAST spr round 7 (radius: 25)
[14:44:45 -226874.354521] Model parameter optimization (eps = 1.000000)
[14:45:00 -226865.276166] SLOW spr round 1 (radius: 5)
[14:47:03 -226819.707965] SLOW spr round 2 (radius: 5)
[14:49:05 -226806.393929] SLOW spr round 3 (radius: 5)
[14:51:02 -226805.586664] SLOW spr round 4 (radius: 5)
[14:52:57 -226805.586576] SLOW spr round 5 (radius: 10)
[14:54:56 -226805.586554] SLOW spr round 6 (radius: 15)
[14:57:51 -226805.586541] SLOW spr round 7 (radius: 20)
[15:02:10 -226805.586532] SLOW spr round 8 (radius: 25)
[15:08:01 -226805.586525] Model parameter optimization (eps = 0.100000)

[15:08:06] ML tree search #18, logLikelihood: -226805.521867

[15:08:06 -910322.657941] Initial branch length optimization
[15:08:10 -750990.968490] Model parameter optimization (eps = 10.000000)
[15:08:40 -749102.197881] AUTODETECT spr round 1 (radius: 5)
[15:10:43 -533776.768395] AUTODETECT spr round 2 (radius: 10)
[15:12:53 -399648.069592] AUTODETECT spr round 3 (radius: 15)
[15:15:24 -321801.758186] AUTODETECT spr round 4 (radius: 20)
[15:18:08 -273580.953894] AUTODETECT spr round 5 (radius: 25)
[15:21:16 -260616.508202] SPR radius for FAST iterations: 25 (autodetect)
[15:21:16 -260616.508202] Model parameter optimization (eps = 3.000000)
[15:21:40 -260148.298407] FAST spr round 1 (radius: 25)
[15:24:05 -228386.416385] FAST spr round 2 (radius: 25)
[15:25:58 -227031.958900] FAST spr round 3 (radius: 25)
[15:27:48 -226887.528461] FAST spr round 4 (radius: 25)
[15:29:29 -226876.793098] FAST spr round 5 (radius: 25)
[15:31:07 -226874.742227] FAST spr round 6 (radius: 25)
[15:32:44 -226874.742058] Model parameter optimization (eps = 1.000000)
[15:32:58 -226873.291071] SLOW spr round 1 (radius: 5)
[15:35:05 -226830.631560] SLOW spr round 2 (radius: 5)
[15:37:06 -226827.276002] SLOW spr round 3 (radius: 5)
[15:39:06 -226826.751011] SLOW spr round 4 (radius: 5)
[15:41:06 -226826.674980] SLOW spr round 5 (radius: 10)
[15:43:04 -226819.229456] SLOW spr round 6 (radius: 5)
[15:45:25 -226818.306372] SLOW spr round 7 (radius: 5)
[15:47:31 -226818.305515] SLOW spr round 8 (radius: 10)
[15:49:32 -226812.659703] SLOW spr round 9 (radius: 5)
[15:51:50 -226812.659677] SLOW spr round 10 (radius: 10)
[15:53:58 -226812.659655] SLOW spr round 11 (radius: 15)
[15:56:42 -226812.659634] SLOW spr round 12 (radius: 20)
[16:01:14 -226812.659615] SLOW spr round 13 (radius: 25)
[16:07:07 -226812.659596] Model parameter optimization (eps = 0.100000)

[16:07:17] ML tree search #19, logLikelihood: -226812.475370

[16:07:17 -909824.868808] Initial branch length optimization
[16:07:20 -748069.941900] Model parameter optimization (eps = 10.000000)
[16:07:47 -746078.857409] AUTODETECT spr round 1 (radius: 5)
[16:09:44 -529094.885194] AUTODETECT spr round 2 (radius: 10)
[16:11:57 -394348.431385] AUTODETECT spr round 3 (radius: 15)
[16:14:25 -316855.160656] AUTODETECT spr round 4 (radius: 20)
[16:17:03 -273621.593474] AUTODETECT spr round 5 (radius: 25)
[16:20:13 -267359.655369] SPR radius for FAST iterations: 25 (autodetect)
[16:20:13 -267359.655369] Model parameter optimization (eps = 3.000000)
[16:20:31 -267012.072922] FAST spr round 1 (radius: 25)
[16:22:48 -228711.779936] FAST spr round 2 (radius: 25)
[16:24:40 -227029.034835] FAST spr round 3 (radius: 25)
[16:26:25 -226923.014345] FAST spr round 4 (radius: 25)
[16:27:59 -226905.487453] FAST spr round 5 (radius: 25)
[16:29:30 -226903.591807] FAST spr round 6 (radius: 25)
[16:31:00 -226903.590878] Model parameter optimization (eps = 1.000000)
[16:31:18 -226888.551307] SLOW spr round 1 (radius: 5)
[16:33:17 -226829.078248] SLOW spr round 2 (radius: 5)
[16:35:10 -226823.529755] SLOW spr round 3 (radius: 5)
[16:37:01 -226823.529659] SLOW spr round 4 (radius: 10)
[16:38:56 -226813.647174] SLOW spr round 5 (radius: 5)
[16:41:11 -226812.442701] SLOW spr round 6 (radius: 5)
[16:43:13 -226812.442612] SLOW spr round 7 (radius: 10)
[16:45:12 -226812.442596] SLOW spr round 8 (radius: 15)
[16:48:06 -226812.442590] SLOW spr round 9 (radius: 20)
[16:52:32 -226812.442587] SLOW spr round 10 (radius: 25)
[16:58:34 -226812.442585] Model parameter optimization (eps = 0.100000)

[16:58:47] ML tree search #20, logLikelihood: -226812.210631


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.232916,0.328937) (0.204768,1.006085) (0.352602,0.750811) (0.209714,2.158338) 
   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: -226796.635724

AIC score: 457603.271449 / AICc score: 8501663.271449 / BIC score: 466347.682916
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=579).
         This might lead to overfitting and compromise tree inference results!


WARNING: Best ML tree contains 66 near-zero branches!

Best ML tree with collapsed near-zero branches saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q16281/3_mltree/Q16281.raxml.bestTreeCollapsed
Best ML tree saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q16281/3_mltree/Q16281.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q16281/3_mltree/Q16281.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q16281/3_mltree/Q16281.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q16281/3_mltree/Q16281.raxml.log

Analysis started: 19-Jun-2021 15:56:17 / finished: 20-Jun-2021 08:55:04

Elapsed time: 61127.815 seconds