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) CPU E5-2690 v4 @ 2.60GHz, 28 cores, 251 GB RAM

RAxML-NG was called at 30-Jun-2021 19:28:24 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q92698/2_msa/Q92698_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q92698/3_mltree/Q92698 --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/Q92698/2_msa/Q92698_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 622 sites

WARNING: Sequences tr_B2WNL0_B2WNL0_PYRTR_426418 and tr_A0A2W1EL62_A0A2W1EL62_9PLEO_45151 are exactly identical!
WARNING: Sequences tr_G3RNZ6_G3RNZ6_GORGO_9595 and sp_Q9Y620_RA54B_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_Q7RVS3_Q7RVS3_NEUCR_367110 and tr_G4UVC7_G4UVC7_NEUT9_510952 are exactly identical!
WARNING: Sequences tr_B8N214_B8N214_ASPFN_332952 and tr_A0A0F0IDB5_A0A0F0IDB5_ASPPU_1403190 are exactly identical!
WARNING: Sequences tr_F9FCF1_F9FCF1_FUSOF_660025 and tr_A0A0D2XIF0_A0A0D2XIF0_FUSO4_426428 are exactly identical!
WARNING: Sequences tr_F9FCF1_F9FCF1_FUSOF_660025 and tr_S0E1K0_S0E1K0_GIBF5_1279085 are exactly identical!
WARNING: Sequences tr_F9FCF1_F9FCF1_FUSOF_660025 and tr_X0DU99_X0DU99_FUSOX_1089458 are exactly identical!
WARNING: Sequences tr_F9FCF1_F9FCF1_FUSOF_660025 and tr_A0A2H3T019_A0A2H3T019_FUSOX_5507 are exactly identical!
WARNING: Sequences tr_F9FCF1_F9FCF1_FUSOF_660025 and tr_A0A2H3HMV2_A0A2H3HMV2_FUSOX_327505 are exactly identical!
WARNING: Sequences tr_Q2ULH2_Q2ULH2_ASPOR_510516 and tr_A0A1S9DN68_A0A1S9DN68_ASPOZ_5062 are exactly identical!
WARNING: Sequences tr_F6VXV3_F6VXV3_MACMU_9544 and tr_A0A2K6AWM9_A0A2K6AWM9_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7BLY5_F7BLY5_MACMU_9544 and tr_G7NV06_G7NV06_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7BLY5_F7BLY5_MACMU_9544 and tr_A0A096MM27_A0A096MM27_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F7BLY5_F7BLY5_MACMU_9544 and tr_A0A2K5LJA9_A0A2K5LJA9_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F7BLY5_F7BLY5_MACMU_9544 and tr_A0A2K5ZJA0_A0A2K5ZJA0_MANLE_9568 are exactly identical!
WARNING: Sequences tr_W7N0V3_W7N0V3_GIBM7_334819 and tr_A0A2K0WJY3_A0A2K0WJY3_GIBNY_42673 are exactly identical!
WARNING: Sequences tr_L0PE26_L0PE26_PNEJ8_1209962 and tr_A0A0W4ZL24_A0A0W4ZL24_PNEJ7_1408657 are exactly identical!
WARNING: Sequences tr_W2QBS3_W2QBS3_PHYPN_761204 and tr_A0A0W8CBF3_A0A0W8CBF3_PHYNI_4790 are exactly identical!
WARNING: Sequences tr_W2QBS3_W2QBS3_PHYPN_761204 and tr_W2GZX4_W2GZX4_PHYPR_4792 are exactly identical!
WARNING: Sequences tr_A0A096N1D1_A0A096N1D1_PAPAN_9555 and tr_A0A2K5XEQ9_A0A2K5XEQ9_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A094GQ02_A0A094GQ02_9PEZI_1420912 and tr_A0A1B8GBY4_A0A1B8GBY4_9PEZI_342668 are exactly identical!
WARNING: Sequences tr_A0A0F8UKM7_A0A0F8UKM7_9EURO_308745 and tr_A0A2T5LPB1_A0A2T5LPB1_9EURO_1392256 are exactly identical!
WARNING: Sequences tr_A0A0A1N7T3_A0A0A1N7T3_9FUNG_58291 and tr_A0A367J6L3_A0A367J6L3_9FUNG_86630 are exactly identical!
WARNING: Sequences tr_A0A0V0RJE5_A0A0V0RJE5_9BILA_6336 and tr_A0A0V0WB81_A0A0V0WB81_9BILA_92179 are exactly identical!
WARNING: Sequences tr_A0A0V0RJE5_A0A0V0RJE5_9BILA_6336 and tr_A0A0V0VY62_A0A0V0VY62_9BILA_181606 are exactly identical!
WARNING: Sequences tr_A0A0V0RJE5_A0A0V0RJE5_9BILA_6336 and tr_A0A0V1KY45_A0A0V1KY45_9BILA_6335 are exactly identical!
WARNING: Sequences tr_A0A0V0RJE5_A0A0V0RJE5_9BILA_6336 and tr_A0A0V0ZH18_A0A0V0ZH18_9BILA_990121 are exactly identical!
WARNING: Sequences tr_A0A0V0RJE5_A0A0V0RJE5_9BILA_6336 and tr_A0A0V1NQ09_A0A0V1NQ09_9BILA_92180 are exactly identical!
WARNING: Sequences tr_A0A0V0RJE5_A0A0V0RJE5_9BILA_6336 and tr_A0A0V0UF65_A0A0V0UF65_9BILA_144512 are exactly identical!
WARNING: Sequences tr_A0A2N5SRC9_A0A2N5SRC9_9BASI_200324 and tr_A0A2N5W6B2_A0A2N5W6B2_9BASI_200324 are exactly identical!
WARNING: Duplicate sequences found: 30

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/Q92698/3_mltree/Q92698.raxml.reduced.phy

Alignment comprises 1 partitions and 621 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 622 / 621
Gaps: 2.63 %
Invariant sites: 1.93 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q92698/3_mltree/Q92698.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 / 89 / 7120
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -809516.625433] Initial branch length optimization
[00:00:03 -671107.477524] Model parameter optimization (eps = 10.000000)
[00:00:35 -670308.799780] AUTODETECT spr round 1 (radius: 5)
[00:02:48 -485908.429612] AUTODETECT spr round 2 (radius: 10)
[00:05:29 -373725.960476] AUTODETECT spr round 3 (radius: 15)
[00:08:30 -315874.522161] AUTODETECT spr round 4 (radius: 20)
[00:11:39 -277832.061241] AUTODETECT spr round 5 (radius: 25)
[00:15:18 -266612.850591] SPR radius for FAST iterations: 25 (autodetect)
[00:15:18 -266612.850591] Model parameter optimization (eps = 3.000000)
[00:15:46 -266384.206684] FAST spr round 1 (radius: 25)
[00:18:23 -224085.354517] FAST spr round 2 (radius: 25)
[00:20:31 -221136.500722] FAST spr round 3 (radius: 25)
[00:22:28 -221014.622866] FAST spr round 4 (radius: 25)
[00:24:10 -220998.555940] FAST spr round 5 (radius: 25)
[00:26:16 -220995.537366] FAST spr round 6 (radius: 25)
[00:27:58 -220995.537330] Model parameter optimization (eps = 1.000000)
[00:28:21 -220984.689792] SLOW spr round 1 (radius: 5)
[00:30:42 -220925.462419] SLOW spr round 2 (radius: 5)
[00:33:22 -220920.282650] SLOW spr round 3 (radius: 5)
[00:35:29 -220919.618849] SLOW spr round 4 (radius: 5)
[00:37:40 -220919.618849] SLOW spr round 5 (radius: 10)
[00:39:53 -220919.618849] SLOW spr round 6 (radius: 15)
[00:43:18 -220919.618849] SLOW spr round 7 (radius: 20)
[00:47:28 -220919.618849] SLOW spr round 8 (radius: 25)
[00:52:44 -220919.618849] Model parameter optimization (eps = 0.100000)

[00:52:56] ML tree search #1, logLikelihood: -220919.490017

[00:52:56 -810490.387436] Initial branch length optimization
[00:53:00 -672435.916788] Model parameter optimization (eps = 10.000000)
[00:53:25 -671662.358009] AUTODETECT spr round 1 (radius: 5)
[00:55:34 -481442.263732] AUTODETECT spr round 2 (radius: 10)
[00:58:07 -364648.398936] AUTODETECT spr round 3 (radius: 15)
[01:01:03 -283062.024737] AUTODETECT spr round 4 (radius: 20)
[01:04:09 -258063.161578] AUTODETECT spr round 5 (radius: 25)
[01:07:42 -254396.525725] SPR radius for FAST iterations: 25 (autodetect)
[01:07:42 -254396.525725] Model parameter optimization (eps = 3.000000)
[01:08:04 -254174.443296] FAST spr round 1 (radius: 25)
[01:10:36 -222464.545805] FAST spr round 2 (radius: 25)
[01:12:38 -221137.355757] FAST spr round 3 (radius: 25)
[01:14:28 -221025.974113] FAST spr round 4 (radius: 25)
[01:16:05 -220990.492753] FAST spr round 5 (radius: 25)
[01:17:37 -220990.492750] Model parameter optimization (eps = 1.000000)
[01:17:50 -220985.456930] SLOW spr round 1 (radius: 5)
[01:20:00 -220917.346810] SLOW spr round 2 (radius: 5)
[01:22:01 -220907.125448] SLOW spr round 3 (radius: 5)
[01:23:58 -220905.563418] SLOW spr round 4 (radius: 5)
[01:25:54 -220905.563338] SLOW spr round 5 (radius: 10)
[01:27:51 -220905.563337] SLOW spr round 6 (radius: 15)
[01:31:00 -220905.563337] SLOW spr round 7 (radius: 20)
[01:35:12 -220905.563337] SLOW spr round 8 (radius: 25)
[01:40:51 -220905.563337] Model parameter optimization (eps = 0.100000)

[01:41:03] ML tree search #2, logLikelihood: -220904.550438

[01:41:03 -807565.923371] Initial branch length optimization
[01:41:07 -671067.159336] Model parameter optimization (eps = 10.000000)
[01:41:34 -670200.557203] AUTODETECT spr round 1 (radius: 5)
[01:43:38 -490787.040264] AUTODETECT spr round 2 (radius: 10)
[01:46:10 -357658.238599] AUTODETECT spr round 3 (radius: 15)
[01:48:52 -296550.476424] AUTODETECT spr round 4 (radius: 20)
[01:52:03 -266711.335661] AUTODETECT spr round 5 (radius: 25)
[01:55:23 -257770.740390] SPR radius for FAST iterations: 25 (autodetect)
[01:55:23 -257770.740390] Model parameter optimization (eps = 3.000000)
[01:55:30 -257765.730555] FAST spr round 1 (radius: 25)
[01:57:59 -222887.354197] FAST spr round 2 (radius: 25)
[01:59:55 -221172.385119] FAST spr round 3 (radius: 25)
[02:01:41 -221107.337828] FAST spr round 4 (radius: 25)
[02:03:16 -221103.984620] FAST spr round 5 (radius: 25)
[02:04:49 -221100.994430] FAST spr round 6 (radius: 25)
[02:06:19 -221100.994317] Model parameter optimization (eps = 1.000000)
[02:06:24 -221100.876949] SLOW spr round 1 (radius: 5)
[02:08:30 -221024.556554] SLOW spr round 2 (radius: 5)
[02:10:32 -221020.031429] SLOW spr round 3 (radius: 5)
[02:12:30 -221020.031400] SLOW spr round 4 (radius: 10)
[02:14:29 -221015.459299] SLOW spr round 5 (radius: 5)
[02:16:58 -221013.008282] SLOW spr round 6 (radius: 5)
[02:19:09 -221013.008259] SLOW spr round 7 (radius: 10)
[02:21:11 -221012.225830] SLOW spr round 8 (radius: 5)
[02:23:42 -221007.070283] SLOW spr round 9 (radius: 5)
[02:25:53 -221007.070245] SLOW spr round 10 (radius: 10)
[02:27:56 -221007.070245] SLOW spr round 11 (radius: 15)
[02:31:06 -221007.070245] SLOW spr round 12 (radius: 20)
[02:35:37 -221007.070245] SLOW spr round 13 (radius: 25)
[02:41:29 -221007.070245] Model parameter optimization (eps = 0.100000)

[02:41:33] ML tree search #3, logLikelihood: -221006.994575

[02:41:33 -808196.219155] Initial branch length optimization
[02:41:37 -672752.919141] Model parameter optimization (eps = 10.000000)
[02:42:06 -671927.673154] AUTODETECT spr round 1 (radius: 5)
[02:44:12 -493441.993578] AUTODETECT spr round 2 (radius: 10)
[02:46:38 -366617.356826] AUTODETECT spr round 3 (radius: 15)
[02:49:22 -287330.945800] AUTODETECT spr round 4 (radius: 20)
[02:52:16 -273283.604040] AUTODETECT spr round 5 (radius: 25)
[02:55:43 -257567.712227] SPR radius for FAST iterations: 25 (autodetect)
[02:55:43 -257567.712227] Model parameter optimization (eps = 3.000000)
[02:55:50 -257562.556097] FAST spr round 1 (radius: 25)
[02:58:18 -223236.231904] FAST spr round 2 (radius: 25)
[03:00:12 -221203.230993] FAST spr round 3 (radius: 25)
[03:01:56 -221074.253739] FAST spr round 4 (radius: 25)
[03:03:30 -221074.252690] Model parameter optimization (eps = 1.000000)
[03:03:40 -221074.111565] SLOW spr round 1 (radius: 5)
[03:05:55 -221023.830820] SLOW spr round 2 (radius: 5)
[03:08:00 -221022.109839] SLOW spr round 3 (radius: 5)
[03:10:00 -221020.963730] SLOW spr round 4 (radius: 5)
[03:11:57 -221020.963701] SLOW spr round 5 (radius: 10)
[03:13:58 -221014.452960] SLOW spr round 6 (radius: 5)
[03:16:29 -221006.885341] SLOW spr round 7 (radius: 5)
[03:18:41 -221006.884314] SLOW spr round 8 (radius: 10)
[03:20:45 -221004.475731] SLOW spr round 9 (radius: 5)
[03:23:14 -220999.600446] SLOW spr round 10 (radius: 5)
[03:25:26 -220996.527865] SLOW spr round 11 (radius: 5)
[03:27:28 -220995.305900] SLOW spr round 12 (radius: 5)
[03:29:26 -220995.305895] SLOW spr round 13 (radius: 10)
[03:31:26 -220995.305895] SLOW spr round 14 (radius: 15)
[03:34:43 -220995.305895] SLOW spr round 15 (radius: 20)
[03:39:13 -220995.305895] SLOW spr round 16 (radius: 25)
[03:44:58 -220995.305895] Model parameter optimization (eps = 0.100000)

[03:45:02] ML tree search #4, logLikelihood: -220995.285405

[03:45:02 -808177.908642] Initial branch length optimization
[03:45:05 -669290.206766] Model parameter optimization (eps = 10.000000)
[03:45:32 -668427.204886] AUTODETECT spr round 1 (radius: 5)
[03:47:37 -486553.755684] AUTODETECT spr round 2 (radius: 10)
[03:50:09 -353916.980876] AUTODETECT spr round 3 (radius: 15)
[03:52:41 -284282.634366] AUTODETECT spr round 4 (radius: 20)
[03:55:15 -260573.103335] AUTODETECT spr round 5 (radius: 25)
[03:58:33 -255271.539157] SPR radius for FAST iterations: 25 (autodetect)
[03:58:33 -255271.539157] Model parameter optimization (eps = 3.000000)
[03:58:54 -255071.628789] FAST spr round 1 (radius: 25)
[04:01:20 -222437.199289] FAST spr round 2 (radius: 25)
[04:03:13 -221103.089439] FAST spr round 3 (radius: 25)
[04:04:56 -220970.548329] FAST spr round 4 (radius: 25)
[04:06:32 -220950.894808] FAST spr round 5 (radius: 25)
[04:08:04 -220944.176015] FAST spr round 6 (radius: 25)
[04:09:35 -220942.982706] FAST spr round 7 (radius: 25)
[04:11:05 -220942.982622] Model parameter optimization (eps = 1.000000)
[04:11:13 -220942.372537] SLOW spr round 1 (radius: 5)
[04:13:20 -220906.337507] SLOW spr round 2 (radius: 5)
[04:15:20 -220901.987696] SLOW spr round 3 (radius: 5)
[04:17:15 -220901.767647] SLOW spr round 4 (radius: 5)
[04:19:09 -220901.767358] SLOW spr round 5 (radius: 10)
[04:21:09 -220900.486337] SLOW spr round 6 (radius: 5)
[04:23:34 -220900.486334] SLOW spr round 7 (radius: 10)
[04:25:45 -220900.486334] SLOW spr round 8 (radius: 15)
[04:28:38 -220900.486334] SLOW spr round 9 (radius: 20)
[04:33:07 -220900.486334] SLOW spr round 10 (radius: 25)
[04:38:33 -220900.486334] Model parameter optimization (eps = 0.100000)

[04:38:42] ML tree search #5, logLikelihood: -220900.370904

[04:38:42 -801524.147006] Initial branch length optimization
[04:38:45 -669870.775988] Model parameter optimization (eps = 10.000000)
[04:39:13 -669112.269762] AUTODETECT spr round 1 (radius: 5)
[04:41:19 -481996.816146] AUTODETECT spr round 2 (radius: 10)
[04:43:51 -353746.854727] AUTODETECT spr round 3 (radius: 15)
[04:46:33 -303785.402171] AUTODETECT spr round 4 (radius: 20)
[04:49:21 -279031.089096] AUTODETECT spr round 5 (radius: 25)
[04:52:28 -262567.443754] SPR radius for FAST iterations: 25 (autodetect)
[04:52:28 -262567.443754] Model parameter optimization (eps = 3.000000)
[04:52:48 -262359.017136] FAST spr round 1 (radius: 25)
[04:55:13 -223282.335952] FAST spr round 2 (radius: 25)
[04:57:11 -221104.080219] FAST spr round 3 (radius: 25)
[04:58:56 -221003.134107] FAST spr round 4 (radius: 25)
[05:00:33 -220982.520652] FAST spr round 5 (radius: 25)
[05:02:04 -220982.520647] Model parameter optimization (eps = 1.000000)
[05:02:15 -220979.864064] SLOW spr round 1 (radius: 5)
[05:04:26 -220918.121463] SLOW spr round 2 (radius: 5)
[05:06:32 -220906.270876] SLOW spr round 3 (radius: 5)
[05:08:35 -220900.394442] SLOW spr round 4 (radius: 5)
[05:10:33 -220890.609917] SLOW spr round 5 (radius: 5)
[05:12:29 -220889.996287] SLOW spr round 6 (radius: 5)
[05:14:26 -220889.996286] SLOW spr round 7 (radius: 10)
[05:16:23 -220889.996286] SLOW spr round 8 (radius: 15)
[05:19:36 -220889.996286] SLOW spr round 9 (radius: 20)
[05:24:04 -220889.996286] SLOW spr round 10 (radius: 25)
[05:29:51 -220889.996286] Model parameter optimization (eps = 0.100000)

[05:30:04] ML tree search #6, logLikelihood: -220888.869586

[05:30:04 -809161.216600] Initial branch length optimization
[05:30:07 -672313.807001] Model parameter optimization (eps = 10.000000)
[05:30:34 -671467.027775] AUTODETECT spr round 1 (radius: 5)
[05:32:41 -489722.901831] AUTODETECT spr round 2 (radius: 10)
[05:35:13 -359273.688962] AUTODETECT spr round 3 (radius: 15)
[05:38:00 -297487.135899] AUTODETECT spr round 4 (radius: 20)
[05:41:19 -274984.745760] AUTODETECT spr round 5 (radius: 25)
[05:44:37 -260546.650428] SPR radius for FAST iterations: 25 (autodetect)
[05:44:37 -260546.650428] Model parameter optimization (eps = 3.000000)
[05:44:57 -260322.754525] FAST spr round 1 (radius: 25)
[05:47:28 -224317.831353] FAST spr round 2 (radius: 25)
[05:49:25 -221120.057912] FAST spr round 3 (radius: 25)
[05:51:10 -220997.983112] FAST spr round 4 (radius: 25)
[05:52:44 -220991.847248] FAST spr round 5 (radius: 25)
[05:54:17 -220991.847201] Model parameter optimization (eps = 1.000000)
[05:54:30 -220984.769324] SLOW spr round 1 (radius: 5)
[05:56:39 -220896.557341] SLOW spr round 2 (radius: 5)
[05:58:42 -220881.430585] SLOW spr round 3 (radius: 5)
[06:00:40 -220872.776459] SLOW spr round 4 (radius: 5)
[06:02:37 -220872.268430] SLOW spr round 5 (radius: 5)
[06:04:33 -220872.268417] SLOW spr round 6 (radius: 10)
[06:06:34 -220871.429185] SLOW spr round 7 (radius: 5)
[06:09:01 -220871.429116] SLOW spr round 8 (radius: 10)
[06:11:13 -220871.429115] SLOW spr round 9 (radius: 15)
[06:14:07 -220871.429115] SLOW spr round 10 (radius: 20)
[06:18:36 -220871.429115] SLOW spr round 11 (radius: 25)
[06:23:53 -220871.429115] Model parameter optimization (eps = 0.100000)

[06:24:04] ML tree search #7, logLikelihood: -220870.802804

[06:24:05 -814825.855847] Initial branch length optimization
[06:24:08 -675675.528031] Model parameter optimization (eps = 10.000000)
[06:24:42 -674883.762769] AUTODETECT spr round 1 (radius: 5)
[06:26:52 -488822.369117] AUTODETECT spr round 2 (radius: 10)
[06:29:22 -358612.855579] AUTODETECT spr round 3 (radius: 15)
[06:32:08 -302306.121973] AUTODETECT spr round 4 (radius: 20)
[06:35:25 -269939.091500] AUTODETECT spr round 5 (radius: 25)
[06:39:02 -260660.891479] SPR radius for FAST iterations: 25 (autodetect)
[06:39:02 -260660.891479] Model parameter optimization (eps = 3.000000)
[06:39:09 -260655.806723] FAST spr round 1 (radius: 25)
[06:41:40 -223979.651023] FAST spr round 2 (radius: 25)
[06:43:41 -221146.808953] FAST spr round 3 (radius: 25)
[06:45:28 -221049.747307] FAST spr round 4 (radius: 25)
[06:47:05 -221043.769986] FAST spr round 5 (radius: 25)
[06:48:37 -221043.769756] Model parameter optimization (eps = 1.000000)
[06:48:41 -221043.259254] SLOW spr round 1 (radius: 5)
[06:50:51 -221007.435793] SLOW spr round 2 (radius: 5)
[06:52:56 -221002.784029] SLOW spr round 3 (radius: 5)
[06:54:56 -220999.187154] SLOW spr round 4 (radius: 5)
[06:56:53 -220999.187115] SLOW spr round 5 (radius: 10)
[06:58:54 -220993.647833] SLOW spr round 6 (radius: 5)
[07:01:28 -220988.475120] SLOW spr round 7 (radius: 5)
[07:03:38 -220988.475050] SLOW spr round 8 (radius: 10)
[07:05:41 -220988.475050] SLOW spr round 9 (radius: 15)
[07:08:46 -220988.475050] SLOW spr round 10 (radius: 20)
[07:12:59 -220988.475050] SLOW spr round 11 (radius: 25)
[07:18:26 -220988.475050] Model parameter optimization (eps = 0.100000)

[07:18:30] ML tree search #8, logLikelihood: -220988.466987

[07:18:30 -805680.649915] Initial branch length optimization
[07:18:33 -671673.427347] Model parameter optimization (eps = 10.000000)
[07:18:57 -670846.278198] AUTODETECT spr round 1 (radius: 5)
[07:21:04 -490187.650026] AUTODETECT spr round 2 (radius: 10)
[07:23:32 -369681.418980] AUTODETECT spr round 3 (radius: 15)
[07:26:12 -308696.157778] AUTODETECT spr round 4 (radius: 20)
[07:28:56 -272396.550432] AUTODETECT spr round 5 (radius: 25)
[07:31:50 -256810.832393] SPR radius for FAST iterations: 25 (autodetect)
[07:31:50 -256810.832393] Model parameter optimization (eps = 3.000000)
[07:32:09 -256651.458490] FAST spr round 1 (radius: 25)
[07:34:41 -222674.812065] FAST spr round 2 (radius: 25)
[07:36:38 -221080.194818] FAST spr round 3 (radius: 25)
[07:38:25 -221005.145597] FAST spr round 4 (radius: 25)
[07:40:00 -221001.428136] FAST spr round 5 (radius: 25)
[07:41:32 -221001.428105] Model parameter optimization (eps = 1.000000)
[07:41:36 -221001.180178] SLOW spr round 1 (radius: 5)
[07:43:47 -220955.996164] SLOW spr round 2 (radius: 5)
[07:45:49 -220949.323697] SLOW spr round 3 (radius: 5)
[07:47:46 -220948.584436] SLOW spr round 4 (radius: 5)
[07:49:42 -220948.584364] SLOW spr round 5 (radius: 10)
[07:51:40 -220941.623611] SLOW spr round 6 (radius: 5)
[07:54:06 -220941.383542] SLOW spr round 7 (radius: 5)
[07:56:15 -220941.382564] SLOW spr round 8 (radius: 10)
[07:58:15 -220941.382564] SLOW spr round 9 (radius: 15)
[08:01:22 -220941.382564] SLOW spr round 10 (radius: 20)
[08:05:52 -220941.382564] SLOW spr round 11 (radius: 25)
[08:11:29 -220941.382564] Model parameter optimization (eps = 0.100000)

[08:11:41] ML tree search #9, logLikelihood: -220938.376068

[08:11:41 -809950.719245] Initial branch length optimization
[08:11:45 -674610.860146] Model parameter optimization (eps = 10.000000)
[08:12:17 -673822.997759] AUTODETECT spr round 1 (radius: 5)
[08:14:25 -490852.355359] AUTODETECT spr round 2 (radius: 10)
[08:16:56 -366753.382377] AUTODETECT spr round 3 (radius: 15)
[08:19:50 -314471.473622] AUTODETECT spr round 4 (radius: 20)
[08:23:01 -265458.831383] AUTODETECT spr round 5 (radius: 25)
[08:26:29 -258388.905275] SPR radius for FAST iterations: 25 (autodetect)
[08:26:29 -258388.905275] Model parameter optimization (eps = 3.000000)
[08:26:50 -258199.080628] FAST spr round 1 (radius: 25)
[08:29:24 -222614.672677] FAST spr round 2 (radius: 25)
[08:31:22 -221144.847986] FAST spr round 3 (radius: 25)
[08:33:14 -220979.450656] FAST spr round 4 (radius: 25)
[08:34:50 -220958.600867] FAST spr round 5 (radius: 25)
[08:36:22 -220958.600842] Model parameter optimization (eps = 1.000000)
[08:36:32 -220957.932028] SLOW spr round 1 (radius: 5)
[08:38:42 -220903.371453] SLOW spr round 2 (radius: 5)
[08:40:45 -220900.408956] SLOW spr round 3 (radius: 5)
[08:42:44 -220899.631926] SLOW spr round 4 (radius: 5)
[08:44:40 -220899.631900] SLOW spr round 5 (radius: 10)
[08:46:40 -220899.631900] SLOW spr round 6 (radius: 15)
[08:49:58 -220899.631900] SLOW spr round 7 (radius: 20)
[08:54:31 -220899.631900] SLOW spr round 8 (radius: 25)
[09:00:28 -220899.631900] Model parameter optimization (eps = 0.100000)

[09:00:39] ML tree search #10, logLikelihood: -220898.499770

[09:00:39 -809933.578260] Initial branch length optimization
[09:00:42 -670143.917618] Model parameter optimization (eps = 10.000000)
[09:01:26 -669361.105464] AUTODETECT spr round 1 (radius: 5)
[09:03:34 -484302.202146] AUTODETECT spr round 2 (radius: 10)
[09:05:58 -369703.643846] AUTODETECT spr round 3 (radius: 15)
[09:08:46 -308901.896335] AUTODETECT spr round 4 (radius: 20)
[09:11:34 -280790.651851] AUTODETECT spr round 5 (radius: 25)
[09:14:57 -257817.176591] SPR radius for FAST iterations: 25 (autodetect)
[09:14:57 -257817.176591] Model parameter optimization (eps = 3.000000)
[09:15:17 -257605.874253] FAST spr round 1 (radius: 25)
[09:17:49 -222431.968634] FAST spr round 2 (radius: 25)
[09:19:48 -221059.027312] FAST spr round 3 (radius: 25)
[09:21:35 -220959.245141] FAST spr round 4 (radius: 25)
[09:23:09 -220952.202023] FAST spr round 5 (radius: 25)
[09:24:41 -220952.201872] Model parameter optimization (eps = 1.000000)
[09:24:53 -220949.219893] SLOW spr round 1 (radius: 5)
[09:27:05 -220894.280599] SLOW spr round 2 (radius: 5)
[09:29:05 -220891.608505] SLOW spr round 3 (radius: 5)
[09:31:03 -220891.243932] SLOW spr round 4 (radius: 5)
[09:33:00 -220890.578351] SLOW spr round 5 (radius: 5)
[09:34:57 -220890.578347] SLOW spr round 6 (radius: 10)
[09:36:55 -220889.158618] SLOW spr round 7 (radius: 5)
[09:39:24 -220884.236288] SLOW spr round 8 (radius: 5)
[09:41:33 -220884.236287] SLOW spr round 9 (radius: 10)
[09:43:35 -220884.236287] SLOW spr round 10 (radius: 15)
[09:46:39 -220884.236287] SLOW spr round 11 (radius: 20)
[09:51:00 -220884.236287] SLOW spr round 12 (radius: 25)
[09:56:31 -220884.236287] Model parameter optimization (eps = 0.100000)

[09:56:43] ML tree search #11, logLikelihood: -220883.912136

[09:56:43 -810197.642177] Initial branch length optimization
[09:56:47 -672796.149600] Model parameter optimization (eps = 10.000000)
[09:57:12 -671945.409160] AUTODETECT spr round 1 (radius: 5)
[09:59:19 -486766.512770] AUTODETECT spr round 2 (radius: 10)
[10:01:50 -362252.002249] AUTODETECT spr round 3 (radius: 15)
[10:04:39 -294683.637748] AUTODETECT spr round 4 (radius: 20)
[10:07:37 -262243.174072] AUTODETECT spr round 5 (radius: 25)
[10:10:53 -255799.972202] SPR radius for FAST iterations: 25 (autodetect)
[10:10:53 -255799.972202] Model parameter optimization (eps = 3.000000)
[10:11:15 -255580.776889] FAST spr round 1 (radius: 25)
[10:13:45 -222626.555610] FAST spr round 2 (radius: 25)
[10:15:46 -221074.129688] FAST spr round 3 (radius: 25)
[10:17:36 -220973.140998] FAST spr round 4 (radius: 25)
[10:19:10 -220959.407417] FAST spr round 5 (radius: 25)
[10:20:42 -220959.407373] Model parameter optimization (eps = 1.000000)
[10:20:56 -220952.429690] SLOW spr round 1 (radius: 5)
[10:23:07 -220898.906946] SLOW spr round 2 (radius: 5)
[10:25:10 -220894.746394] SLOW spr round 3 (radius: 5)
[10:27:07 -220894.746257] SLOW spr round 4 (radius: 10)
[10:29:06 -220892.830750] SLOW spr round 5 (radius: 5)
[10:31:37 -220886.607688] SLOW spr round 6 (radius: 5)
[10:33:47 -220885.235466] SLOW spr round 7 (radius: 5)
[10:35:49 -220885.235433] SLOW spr round 8 (radius: 10)
[10:37:48 -220885.235433] SLOW spr round 9 (radius: 15)
[10:41:00 -220885.235433] SLOW spr round 10 (radius: 20)
[10:45:32 -220885.235433] SLOW spr round 11 (radius: 25)
[10:51:23 -220885.235433] Model parameter optimization (eps = 0.100000)

[10:51:36] ML tree search #12, logLikelihood: -220883.692469

[10:51:36 -811906.976019] Initial branch length optimization
[10:51:40 -673148.353240] Model parameter optimization (eps = 10.000000)
[10:52:04 -672367.702681] AUTODETECT spr round 1 (radius: 5)
[10:54:12 -489394.275291] AUTODETECT spr round 2 (radius: 10)
[10:56:45 -354780.569628] AUTODETECT spr round 3 (radius: 15)
[10:59:24 -295721.217661] AUTODETECT spr round 4 (radius: 20)
[11:02:20 -270579.819860] AUTODETECT spr round 5 (radius: 25)
[11:05:40 -262018.433889] SPR radius for FAST iterations: 25 (autodetect)
[11:05:40 -262018.433889] Model parameter optimization (eps = 3.000000)
[11:05:58 -261750.269267] FAST spr round 1 (radius: 25)
[11:08:28 -221963.764139] FAST spr round 2 (radius: 25)
[11:10:22 -221005.829839] FAST spr round 3 (radius: 25)
[11:12:09 -220939.934670] FAST spr round 4 (radius: 25)
[11:13:43 -220934.943632] FAST spr round 5 (radius: 25)
[11:15:15 -220934.943223] Model parameter optimization (eps = 1.000000)
[11:15:26 -220933.372449] SLOW spr round 1 (radius: 5)
[11:17:34 -220891.268525] SLOW spr round 2 (radius: 5)
[11:19:37 -220885.211678] SLOW spr round 3 (radius: 5)
[11:21:33 -220885.211608] SLOW spr round 4 (radius: 10)
[11:23:31 -220885.211608] SLOW spr round 5 (radius: 15)
[11:26:41 -220885.211608] SLOW spr round 6 (radius: 20)
[11:30:48 -220885.211608] SLOW spr round 7 (radius: 25)
[11:36:13 -220885.211608] Model parameter optimization (eps = 0.100000)

[11:36:21] ML tree search #13, logLikelihood: -220884.979848

[11:36:21 -810151.934737] Initial branch length optimization
[11:36:25 -673829.365856] Model parameter optimization (eps = 10.000000)
[11:36:58 -673004.095377] AUTODETECT spr round 1 (radius: 5)
[11:39:04 -482218.120428] AUTODETECT spr round 2 (radius: 10)
[11:41:33 -374459.922526] AUTODETECT spr round 3 (radius: 15)
[11:44:15 -317515.532566] AUTODETECT spr round 4 (radius: 20)
[11:47:03 -264663.085611] AUTODETECT spr round 5 (radius: 25)
[11:50:19 -258238.675544] SPR radius for FAST iterations: 25 (autodetect)
[11:50:19 -258238.675544] Model parameter optimization (eps = 3.000000)
[11:50:27 -258232.044483] FAST spr round 1 (radius: 25)
[11:53:03 -222384.956818] FAST spr round 2 (radius: 25)
[11:55:06 -221255.326648] FAST spr round 3 (radius: 25)
[11:56:59 -221109.284464] FAST spr round 4 (radius: 25)
[11:58:38 -221076.523648] FAST spr round 5 (radius: 25)
[12:00:10 -221076.523635] Model parameter optimization (eps = 1.000000)
[12:00:14 -221076.412396] SLOW spr round 1 (radius: 5)
[12:02:31 -221031.369718] SLOW spr round 2 (radius: 5)
[12:04:36 -221023.982994] SLOW spr round 3 (radius: 5)
[12:06:36 -221023.982880] SLOW spr round 4 (radius: 10)
[12:08:35 -221023.982879] SLOW spr round 5 (radius: 15)
[12:11:58 -221023.982879] SLOW spr round 6 (radius: 20)
[12:16:41 -221023.982879] SLOW spr round 7 (radius: 25)
[12:22:37 -221023.982879] Model parameter optimization (eps = 0.100000)

[12:22:41] ML tree search #14, logLikelihood: -221023.981348

[12:22:41 -811664.995069] Initial branch length optimization
[12:22:44 -674648.452389] Model parameter optimization (eps = 10.000000)
[12:23:12 -673806.813503] AUTODETECT spr round 1 (radius: 5)
[12:25:20 -493644.869258] AUTODETECT spr round 2 (radius: 10)
[12:27:56 -364513.698641] AUTODETECT spr round 3 (radius: 15)
[12:30:37 -303675.725405] AUTODETECT spr round 4 (radius: 20)
[12:33:40 -271622.086397] AUTODETECT spr round 5 (radius: 25)
[12:37:21 -258091.405745] SPR radius for FAST iterations: 25 (autodetect)
[12:37:21 -258091.405745] Model parameter optimization (eps = 3.000000)
[12:37:41 -257905.288276] FAST spr round 1 (radius: 25)
[12:40:13 -222433.077881] FAST spr round 2 (radius: 25)
[12:42:16 -221116.453101] FAST spr round 3 (radius: 25)
[12:44:08 -221006.777090] FAST spr round 4 (radius: 25)
[12:45:51 -220987.107439] FAST spr round 5 (radius: 25)
[12:47:23 -220987.107416] Model parameter optimization (eps = 1.000000)
[12:47:32 -220986.693151] SLOW spr round 1 (radius: 5)
[12:49:47 -220905.838529] SLOW spr round 2 (radius: 5)
[12:51:53 -220897.600813] SLOW spr round 3 (radius: 5)
[12:53:51 -220895.845461] SLOW spr round 4 (radius: 5)
[12:55:48 -220895.845450] SLOW spr round 5 (radius: 10)
[12:57:45 -220894.811340] SLOW spr round 6 (radius: 5)
[13:00:11 -220894.811300] SLOW spr round 7 (radius: 10)
[13:02:21 -220894.811300] SLOW spr round 8 (radius: 15)
[13:05:17 -220894.811300] SLOW spr round 9 (radius: 20)
[13:09:58 -220894.811300] SLOW spr round 10 (radius: 25)
[13:15:37 -220894.811300] Model parameter optimization (eps = 0.100000)

[13:15:51] ML tree search #15, logLikelihood: -220893.135397

[13:15:51 -808193.166665] Initial branch length optimization
[13:15:54 -669478.712064] Model parameter optimization (eps = 10.000000)
[13:16:27 -668725.872779] AUTODETECT spr round 1 (radius: 5)
[13:18:34 -487790.232545] AUTODETECT spr round 2 (radius: 10)
[13:21:08 -366590.336309] AUTODETECT spr round 3 (radius: 15)
[13:23:59 -297855.815285] AUTODETECT spr round 4 (radius: 20)
[13:27:04 -260148.153670] AUTODETECT spr round 5 (radius: 25)
[13:30:50 -254086.144376] SPR radius for FAST iterations: 25 (autodetect)
[13:30:50 -254086.144376] Model parameter optimization (eps = 3.000000)
[13:31:09 -253850.292696] FAST spr round 1 (radius: 25)
[13:33:37 -222355.475429] FAST spr round 2 (radius: 25)
[13:35:36 -221045.816382] FAST spr round 3 (radius: 25)
[13:37:24 -220977.235412] FAST spr round 4 (radius: 25)
[13:39:00 -220956.951643] FAST spr round 5 (radius: 25)
[13:40:32 -220953.938079] FAST spr round 6 (radius: 25)
[13:42:02 -220953.937950] Model parameter optimization (eps = 1.000000)
[13:42:15 -220951.335777] SLOW spr round 1 (radius: 5)
[13:44:26 -220898.256140] SLOW spr round 2 (radius: 5)
[13:46:25 -220890.116600] SLOW spr round 3 (radius: 5)
[13:48:22 -220888.796743] SLOW spr round 4 (radius: 5)
[13:50:19 -220884.702919] SLOW spr round 5 (radius: 5)
[13:52:15 -220884.702898] SLOW spr round 6 (radius: 10)
[13:54:12 -220884.702893] SLOW spr round 7 (radius: 15)
[13:57:28 -220884.702893] SLOW spr round 8 (radius: 20)
[14:01:58 -220884.702893] SLOW spr round 9 (radius: 25)
[14:07:50 -220884.702893] Model parameter optimization (eps = 0.100000)

[14:08:03] ML tree search #16, logLikelihood: -220883.586043

[14:08:03 -810776.911008] Initial branch length optimization
[14:08:06 -671631.509852] Model parameter optimization (eps = 10.000000)
[14:08:40 -670757.549604] AUTODETECT spr round 1 (radius: 5)
[14:10:48 -488417.757625] AUTODETECT spr round 2 (radius: 10)
[14:13:20 -358712.236573] AUTODETECT spr round 3 (radius: 15)
[14:16:05 -294799.685593] AUTODETECT spr round 4 (radius: 20)
[14:19:05 -267178.057205] AUTODETECT spr round 5 (radius: 25)
[14:22:45 -256628.743115] SPR radius for FAST iterations: 25 (autodetect)
[14:22:45 -256628.743115] Model parameter optimization (eps = 3.000000)
[14:22:52 -256623.864887] FAST spr round 1 (radius: 25)
[14:25:28 -222769.728740] FAST spr round 2 (radius: 25)
[14:27:26 -221216.997471] FAST spr round 3 (radius: 25)
[14:29:14 -221074.117128] FAST spr round 4 (radius: 25)
[14:30:51 -221062.315046] FAST spr round 5 (radius: 25)
[14:32:23 -221062.314841] Model parameter optimization (eps = 1.000000)
[14:32:28 -221061.879466] SLOW spr round 1 (radius: 5)
[14:34:40 -221019.162181] SLOW spr round 2 (radius: 5)
[14:36:44 -221017.728666] SLOW spr round 3 (radius: 5)
[14:38:45 -221016.187327] SLOW spr round 4 (radius: 5)
[14:40:44 -221016.187315] SLOW spr round 5 (radius: 10)
[14:42:47 -221016.187315] SLOW spr round 6 (radius: 15)
[14:46:14 -221016.187315] SLOW spr round 7 (radius: 20)
[14:50:59 -221016.187315] SLOW spr round 8 (radius: 25)
[14:57:05 -221016.187315] Model parameter optimization (eps = 0.100000)

[14:57:08] ML tree search #17, logLikelihood: -221016.181425

[14:57:08 -810278.845545] Initial branch length optimization
[14:57:12 -672609.381695] Model parameter optimization (eps = 10.000000)
[14:57:41 -671783.355687] AUTODETECT spr round 1 (radius: 5)
[14:59:46 -484235.596409] AUTODETECT spr round 2 (radius: 10)
[15:02:16 -367664.752562] AUTODETECT spr round 3 (radius: 15)
[15:05:04 -285359.758010] AUTODETECT spr round 4 (radius: 20)
[15:07:51 -268788.031753] AUTODETECT spr round 5 (radius: 25)
[15:10:52 -257906.022631] SPR radius for FAST iterations: 25 (autodetect)
[15:10:52 -257906.022631] Model parameter optimization (eps = 3.000000)
[15:11:14 -257691.270612] FAST spr round 1 (radius: 25)
[15:13:40 -222347.386052] FAST spr round 2 (radius: 25)
[15:15:37 -221054.445570] FAST spr round 3 (radius: 25)
[15:17:23 -220965.260661] FAST spr round 4 (radius: 25)
[15:18:59 -220961.399155] FAST spr round 5 (radius: 25)
[15:20:30 -220961.399110] Model parameter optimization (eps = 1.000000)
[15:20:43 -220957.783380] SLOW spr round 1 (radius: 5)
[15:22:53 -220898.458532] SLOW spr round 2 (radius: 5)
[15:24:56 -220890.253059] SLOW spr round 3 (radius: 5)
[15:26:54 -220889.470373] SLOW spr round 4 (radius: 5)
[15:28:51 -220889.470372] SLOW spr round 5 (radius: 10)
[15:30:50 -220889.470372] SLOW spr round 6 (radius: 15)
[15:34:02 -220889.470372] SLOW spr round 7 (radius: 20)
[15:38:20 -220889.470372] SLOW spr round 8 (radius: 25)
[15:43:56 -220889.470372] Model parameter optimization (eps = 0.100000)

[15:44:14] ML tree search #18, logLikelihood: -220888.120560

[15:44:14 -811479.751351] Initial branch length optimization
[15:44:18 -671972.431664] Model parameter optimization (eps = 10.000000)
[15:44:40 -671213.866093] AUTODETECT spr round 1 (radius: 5)
[15:46:47 -481183.883784] AUTODETECT spr round 2 (radius: 10)
[15:49:21 -356449.123278] AUTODETECT spr round 3 (radius: 15)
[15:51:59 -308940.101269] AUTODETECT spr round 4 (radius: 20)
[15:55:02 -273371.192763] AUTODETECT spr round 5 (radius: 25)
[15:58:04 -264154.461348] SPR radius for FAST iterations: 25 (autodetect)
[15:58:04 -264154.461348] Model parameter optimization (eps = 3.000000)
[15:58:24 -263943.001921] FAST spr round 1 (radius: 25)
[16:00:59 -223317.404465] FAST spr round 2 (radius: 25)
[16:03:01 -221107.341389] FAST spr round 3 (radius: 25)
[16:04:52 -220993.928160] FAST spr round 4 (radius: 25)
[16:06:30 -220964.302467] FAST spr round 5 (radius: 25)
[16:08:05 -220951.593071] FAST spr round 6 (radius: 25)
[16:09:36 -220951.593056] Model parameter optimization (eps = 1.000000)
[16:09:55 -220939.108877] SLOW spr round 1 (radius: 5)
[16:12:07 -220906.937209] SLOW spr round 2 (radius: 5)
[16:14:13 -220895.104000] SLOW spr round 3 (radius: 5)
[16:16:12 -220885.759491] SLOW spr round 4 (radius: 5)
[16:18:08 -220885.759488] SLOW spr round 5 (radius: 10)
[16:20:07 -220885.759488] SLOW spr round 6 (radius: 15)
[16:23:22 -220885.759488] SLOW spr round 7 (radius: 20)
[16:27:48 -220885.759488] SLOW spr round 8 (radius: 25)
[16:33:35 -220885.759488] Model parameter optimization (eps = 0.100000)

[16:33:46] ML tree search #19, logLikelihood: -220885.112602

[16:33:46 -812387.626242] Initial branch length optimization
[16:33:51 -672955.831598] Model parameter optimization (eps = 10.000000)
[16:34:19 -672169.680177] AUTODETECT spr round 1 (radius: 5)
[16:36:26 -488629.372710] AUTODETECT spr round 2 (radius: 10)
[16:38:52 -373153.073482] AUTODETECT spr round 3 (radius: 15)
[16:41:38 -305892.136686] AUTODETECT spr round 4 (radius: 20)
[16:44:29 -273363.848851] AUTODETECT spr round 5 (radius: 25)
[16:47:47 -259453.467933] SPR radius for FAST iterations: 25 (autodetect)
[16:47:47 -259453.467933] Model parameter optimization (eps = 3.000000)
[16:48:07 -259193.171401] FAST spr round 1 (radius: 25)
[16:50:35 -223646.340580] FAST spr round 2 (radius: 25)
[16:52:37 -221076.067816] FAST spr round 3 (radius: 25)
[16:54:23 -221007.208890] FAST spr round 4 (radius: 25)
[16:56:00 -220987.897331] FAST spr round 5 (radius: 25)
[16:57:32 -220987.897017] Model parameter optimization (eps = 1.000000)
[16:57:47 -220979.223969] SLOW spr round 1 (radius: 5)
[16:59:57 -220904.419053] SLOW spr round 2 (radius: 5)
[17:02:01 -220894.848643] SLOW spr round 3 (radius: 5)
[17:03:59 -220892.842713] SLOW spr round 4 (radius: 5)
[17:05:56 -220892.151909] SLOW spr round 5 (radius: 5)
[17:07:52 -220892.151839] SLOW spr round 6 (radius: 10)
[17:09:52 -220892.151838] SLOW spr round 7 (radius: 15)
[17:13:03 -220892.151838] SLOW spr round 8 (radius: 20)
[17:17:19 -220892.151838] SLOW spr round 9 (radius: 25)
[17:22:44 -220892.151838] Model parameter optimization (eps = 0.100000)

[17:22:56] ML tree search #20, logLikelihood: -220890.623584


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.252857,0.255249) (0.285148,0.416784) (0.275939,1.219480) (0.186055,2.580479) 
   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: -220870.802804

AIC score: 445751.605607 / AICc score: 8489811.605607 / BIC score: 454639.650493
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=622).
         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/Q92698/3_mltree/Q92698.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q92698/3_mltree/Q92698.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q92698/3_mltree/Q92698.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q92698/3_mltree/Q92698.raxml.log

Analysis started: 30-Jun-2021 19:28:24 / finished: 01-Jul-2021 12:51:20

Elapsed time: 62576.520 seconds

Consumed energy: 4679.263 Wh (= 23 km in an electric car, or 117 km with an e-scooter!)