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

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

RAxML-NG was called at 05-Jul-2021 22:13:31 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q99798/2_msa/Q99798_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q99798/3_mltree/Q99798 --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/Q99798/2_msa/Q99798_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 746 sites

WARNING: Sequences tr_J3KJT2_J3KJT2_COCIM_246410 and tr_A0A0J7AWH8_A0A0J7AWH8_COCIT_404692 are exactly identical!
WARNING: Sequences tr_B6QE06_B6QE06_TALMQ_441960 and tr_A0A093X8U7_A0A093X8U7_TALMA_1077442 are exactly identical!
WARNING: Sequences tr_B8N211_B8N211_ASPFN_332952 and tr_Q2ULH0_Q2ULH0_ASPOR_510516 are exactly identical!
WARNING: Sequences tr_B8N211_B8N211_ASPFN_332952 and tr_A0A1S9DN60_A0A1S9DN60_ASPOZ_5062 are exactly identical!
WARNING: Sequences tr_A0A179UAS8_A0A179UAS8_BLAGS_559298 and tr_C5GW31_C5GW31_AJEDR_559297 are exactly identical!
WARNING: Sequences tr_H2QLS4_H2QLS4_PANTR_9598 and tr_A0A2R8ZPK6_A0A2R8ZPK6_PANPA_9597 are exactly identical!
WARNING: Sequences tr_F9FCF9_F9FCF9_FUSOF_660025 and tr_A0A0D2XIG0_A0A0D2XIG0_FUSO4_426428 are exactly identical!
WARNING: Sequences tr_F9FCF9_F9FCF9_FUSOF_660025 and tr_N4U557_N4U557_FUSC1_1229664 are exactly identical!
WARNING: Sequences tr_F9FCF9_F9FCF9_FUSOF_660025 and tr_X0D3X5_X0D3X5_FUSOX_1089458 are exactly identical!
WARNING: Sequences tr_F9FCF9_F9FCF9_FUSOF_660025 and tr_A0A2H3T005_A0A2H3T005_FUSOX_5507 are exactly identical!
WARNING: Sequences tr_F9FCF9_F9FCF9_FUSOF_660025 and tr_A0A2H3HMW2_A0A2H3HMW2_FUSOX_327505 are exactly identical!
WARNING: Sequences tr_A2QSF4_A2QSF4_ASPNC_425011 and tr_G3YFN5_G3YFN5_ASPNA_380704 are exactly identical!
WARNING: Sequences tr_A2QSF4_A2QSF4_ASPNC_425011 and tr_A0A319AM78_A0A319AM78_9EURO_1450533 are exactly identical!
WARNING: Sequences tr_G7XLX6_G7XLX6_ASPKW_1033177 and tr_A0A146FAZ3_A0A146FAZ3_9EURO_1069201 are exactly identical!
WARNING: Sequences tr_F4NSP6_F4NSP6_BATDJ_684364 and tr_A0A177WBE2_A0A177WBE2_BATDE_403673 are exactly identical!
WARNING: Sequences tr_F9XMI1_F9XMI1_ZYMTI_336722 and tr_A0A1X7S6I8_A0A1X7S6I8_ZYMTR_1276538 are exactly identical!
WARNING: Sequences tr_F2SEY0_F2SEY0_TRIRC_559305 and tr_A0A178EUB4_A0A178EUB4_TRIRU_5551 are exactly identical!
WARNING: Sequences tr_V2XRZ2_V2XRZ2_MONRO_1381753 and tr_A0A0W0FZ39_A0A0W0FZ39_9AGAR_221103 are exactly identical!
WARNING: Sequences tr_A0A094EAP6_A0A094EAP6_9PEZI_1420912 and tr_A0A1B8GFM8_A0A1B8GFM8_9PEZI_342668 are exactly identical!
WARNING: Sequences tr_A0A0E9N9M0_A0A0E9N9M0_SAICN_698492 and tr_A0A0E9N9W8_A0A0E9N9W8_SAICN_698492 are exactly identical!
WARNING: Sequences tr_A0A0F0IAJ9_A0A0F0IAJ9_ASPPU_1403190 and tr_A0A2G7G679_A0A2G7G679_9EURO_656916 are exactly identical!
WARNING: Sequences tr_A0A0F8X909_A0A0F8X909_9EURO_308745 and tr_A0A2T5LPB4_A0A2T5LPB4_9EURO_1392256 are exactly identical!
WARNING: Sequences tr_A0A0A1MUX9_A0A0A1MUX9_9FUNG_58291 and tr_A0A2G4SQK4_A0A2G4SQK4_9FUNG_1340429 are exactly identical!
WARNING: Sequences tr_A0A0W8CC75_A0A0W8CC75_PHYNI_4790 and tr_W2L0X6_W2L0X6_PHYPR_4792 are exactly identical!
WARNING: Sequences tr_A0A0V1D5L9_A0A0V1D5L9_TRIBR_45882 and tr_A0A0V1P8Q9_A0A0V1P8Q9_9BILA_92180 are exactly identical!
WARNING: Sequences tr_A0A164MXU0_A0A164MXU0_9HOMO_1314777 and tr_A0A166EH35_A0A166EH35_9HOMO_1314776 are exactly identical!
WARNING: Sequences tr_A0A1Y1WXQ5_A0A1Y1WXQ5_9FUNG_1314790 and tr_A0A1Y1Y7H9_A0A1Y1Y7H9_9FUNG_1314790 are exactly identical!
WARNING: Duplicate sequences found: 27

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/Q99798/3_mltree/Q99798.raxml.reduced.phy

Alignment comprises 1 partitions and 744 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 746 / 744
Gaps: 0.86 %
Invariant sites: 4.96 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q99798/3_mltree/Q99798.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 / 107 / 8560
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -741676.047510] Initial branch length optimization
[00:00:04 -642628.187389] Model parameter optimization (eps = 10.000000)
[00:00:56 -641449.387610] AUTODETECT spr round 1 (radius: 5)
[00:03:06 -478860.942144] AUTODETECT spr round 2 (radius: 10)
[00:05:18 -355944.989025] AUTODETECT spr round 3 (radius: 15)
[00:07:50 -290131.185395] AUTODETECT spr round 4 (radius: 20)
[00:10:47 -278770.188281] AUTODETECT spr round 5 (radius: 25)
[00:13:51 -277562.431235] SPR radius for FAST iterations: 25 (autodetect)
[00:13:51 -277562.431235] Model parameter optimization (eps = 3.000000)
[00:14:05 -277269.636084] FAST spr round 1 (radius: 25)
[00:16:19 -245938.314834] FAST spr round 2 (radius: 25)
[00:18:00 -244708.036520] FAST spr round 3 (radius: 25)
[00:19:29 -244627.477427] FAST spr round 4 (radius: 25)
[00:20:49 -244610.227499] FAST spr round 5 (radius: 25)
[00:22:04 -244593.003757] FAST spr round 6 (radius: 25)
[00:23:16 -244593.003454] Model parameter optimization (eps = 1.000000)
[00:23:26 -244588.733910] SLOW spr round 1 (radius: 5)
[00:25:26 -244530.647767] SLOW spr round 2 (radius: 5)
[00:27:19 -244522.767243] SLOW spr round 3 (radius: 5)
[00:29:03 -244522.767214] SLOW spr round 4 (radius: 10)
[00:30:50 -244522.767214] SLOW spr round 5 (radius: 15)
[00:34:05 -244522.767214] SLOW spr round 6 (radius: 20)
[00:38:54 -244522.767213] SLOW spr round 7 (radius: 25)
[00:45:13 -244522.767213] Model parameter optimization (eps = 0.100000)

[00:45:18] ML tree search #1, logLikelihood: -244522.671044

[00:45:18 -743071.765609] Initial branch length optimization
[00:45:21 -643872.845752] Model parameter optimization (eps = 10.000000)
[00:45:53 -642798.058234] AUTODETECT spr round 1 (radius: 5)
[00:47:37 -478871.293212] AUTODETECT spr round 2 (radius: 10)
[00:49:35 -347688.713510] AUTODETECT spr round 3 (radius: 15)
[00:51:43 -291670.022669] AUTODETECT spr round 4 (radius: 20)
[00:54:36 -282706.840735] AUTODETECT spr round 5 (radius: 25)
[00:58:12 -280975.366700] SPR radius for FAST iterations: 25 (autodetect)
[00:58:12 -280975.366700] Model parameter optimization (eps = 3.000000)
[00:58:27 -280685.866373] FAST spr round 1 (radius: 25)
[01:00:54 -246060.323374] FAST spr round 2 (radius: 25)
[01:02:42 -244669.350078] FAST spr round 3 (radius: 25)
[01:04:16 -244594.654923] FAST spr round 4 (radius: 25)
[01:05:40 -244581.745303] FAST spr round 5 (radius: 25)
[01:06:57 -244581.745295] Model parameter optimization (eps = 1.000000)
[01:07:10 -244576.241117] SLOW spr round 1 (radius: 5)
[01:09:12 -244509.974849] SLOW spr round 2 (radius: 5)
[01:11:03 -244502.838812] SLOW spr round 3 (radius: 5)
[01:12:49 -244502.191456] SLOW spr round 4 (radius: 5)
[01:14:34 -244502.191408] SLOW spr round 5 (radius: 10)
[01:16:23 -244494.648501] SLOW spr round 6 (radius: 5)
[01:18:42 -244492.850762] SLOW spr round 7 (radius: 5)
[01:20:44 -244486.027598] SLOW spr round 8 (radius: 5)
[01:22:38 -244481.972830] SLOW spr round 9 (radius: 5)
[01:24:25 -244481.972764] SLOW spr round 10 (radius: 10)
[01:26:15 -244481.972764] SLOW spr round 11 (radius: 15)
[01:29:19 -244481.972764] SLOW spr round 12 (radius: 20)
[01:34:06 -244481.972764] SLOW spr round 13 (radius: 25)
[01:41:29 -244481.972764] Model parameter optimization (eps = 0.100000)

[01:41:37] ML tree search #2, logLikelihood: -244481.307181

[01:41:37 -739996.549587] Initial branch length optimization
[01:41:41 -642057.030933] Model parameter optimization (eps = 10.000000)
[01:42:15 -640991.942972] AUTODETECT spr round 1 (radius: 5)
[01:44:21 -489747.293465] AUTODETECT spr round 2 (radius: 10)
[01:46:42 -366275.310511] AUTODETECT spr round 3 (radius: 15)
[01:49:16 -313645.787151] AUTODETECT spr round 4 (radius: 20)
[01:52:15 -291612.902129] AUTODETECT spr round 5 (radius: 25)
[01:55:34 -282215.392835] SPR radius for FAST iterations: 25 (autodetect)
[01:55:34 -282215.392835] Model parameter optimization (eps = 3.000000)
[01:55:51 -281924.425804] FAST spr round 1 (radius: 25)
[01:58:40 -246108.299505] FAST spr round 2 (radius: 25)
[02:00:51 -244672.418426] FAST spr round 3 (radius: 25)
[02:02:50 -244598.880955] FAST spr round 4 (radius: 25)
[02:04:29 -244583.757130] FAST spr round 5 (radius: 25)
[02:06:04 -244583.615947] FAST spr round 6 (radius: 25)
[02:07:35 -244583.615809] Model parameter optimization (eps = 1.000000)
[02:07:48 -244576.145250] SLOW spr round 1 (radius: 5)
[02:10:11 -244538.234197] SLOW spr round 2 (radius: 5)
[02:12:26 -244518.009508] SLOW spr round 3 (radius: 5)
[02:14:42 -244512.959204] SLOW spr round 4 (radius: 5)
[02:16:50 -244510.370291] SLOW spr round 5 (radius: 5)
[02:18:56 -244510.370259] SLOW spr round 6 (radius: 10)
[02:21:09 -244508.326428] SLOW spr round 7 (radius: 5)
[02:23:54 -244506.575509] SLOW spr round 8 (radius: 5)
[02:26:25 -244502.540447] SLOW spr round 9 (radius: 5)
[02:28:38 -244502.540435] SLOW spr round 10 (radius: 10)
[02:30:52 -244502.172398] SLOW spr round 11 (radius: 5)
[02:33:36 -244502.172397] SLOW spr round 12 (radius: 10)
[02:36:09 -244502.172397] SLOW spr round 13 (radius: 15)
[02:39:48 -244502.172397] SLOW spr round 14 (radius: 20)
[02:47:23 -244502.172397] SLOW spr round 15 (radius: 25)
[02:55:16 -244502.172397] Model parameter optimization (eps = 0.100000)

[02:55:25] ML tree search #3, logLikelihood: -244502.037285

[02:55:25 -740271.619689] Initial branch length optimization
[02:55:29 -642490.185237] Model parameter optimization (eps = 10.000000)
[02:55:58 -641350.930819] AUTODETECT spr round 1 (radius: 5)
[02:58:03 -485217.584687] AUTODETECT spr round 2 (radius: 10)
[03:00:26 -354963.665612] AUTODETECT spr round 3 (radius: 15)
[03:03:00 -305281.920396] AUTODETECT spr round 4 (radius: 20)
[03:06:04 -288112.522380] AUTODETECT spr round 5 (radius: 25)
[03:09:39 -285160.954261] SPR radius for FAST iterations: 25 (autodetect)
[03:09:39 -285160.954261] Model parameter optimization (eps = 3.000000)
[03:09:57 -284842.166589] FAST spr round 1 (radius: 25)
[03:12:57 -247472.420519] FAST spr round 2 (radius: 25)
[03:15:16 -245256.090615] FAST spr round 3 (radius: 25)
[03:17:16 -244618.791261] FAST spr round 4 (radius: 25)
[03:19:00 -244604.142282] FAST spr round 5 (radius: 25)
[03:20:35 -244601.421346] FAST spr round 6 (radius: 25)
[03:22:08 -244601.421345] Model parameter optimization (eps = 1.000000)
[03:22:21 -244595.405862] SLOW spr round 1 (radius: 5)
[03:24:50 -244522.385835] SLOW spr round 2 (radius: 5)
[03:27:07 -244504.521206] SLOW spr round 3 (radius: 5)
[03:29:15 -244502.998247] SLOW spr round 4 (radius: 5)
[03:31:22 -244497.683176] SLOW spr round 5 (radius: 5)
[03:33:29 -244497.683175] SLOW spr round 6 (radius: 10)
[03:35:40 -244490.525667] SLOW spr round 7 (radius: 5)
[03:38:24 -244487.803562] SLOW spr round 8 (radius: 5)
[03:40:50 -244482.846304] SLOW spr round 9 (radius: 5)
[03:43:04 -244481.547454] SLOW spr round 10 (radius: 5)
[03:45:12 -244481.547430] SLOW spr round 11 (radius: 10)
[03:47:23 -244481.547425] SLOW spr round 12 (radius: 15)
[03:51:09 -244481.547423] SLOW spr round 13 (radius: 20)
[03:56:38 -244481.547423] SLOW spr round 14 (radius: 25)
[04:03:54 -244481.547423] Model parameter optimization (eps = 0.100000)

[04:03:58] ML tree search #4, logLikelihood: -244481.520803

[04:03:58 -739271.592908] Initial branch length optimization
[04:04:01 -641728.623168] Model parameter optimization (eps = 10.000000)
[04:04:33 -640665.492946] AUTODETECT spr round 1 (radius: 5)
[04:06:40 -478577.994932] AUTODETECT spr round 2 (radius: 10)
[04:08:59 -365588.754033] AUTODETECT spr round 3 (radius: 15)
[04:11:35 -299664.486662] AUTODETECT spr round 4 (radius: 20)
[04:15:10 -280288.516251] AUTODETECT spr round 5 (radius: 25)
[04:19:55 -279448.744519] SPR radius for FAST iterations: 25 (autodetect)
[04:19:55 -279448.744519] Model parameter optimization (eps = 3.000000)
[04:20:11 -279222.117933] FAST spr round 1 (radius: 25)
[04:23:16 -246328.247586] FAST spr round 2 (radius: 25)
[04:25:31 -244803.647167] FAST spr round 3 (radius: 25)
[04:27:25 -244592.863121] FAST spr round 4 (radius: 25)
[04:29:01 -244574.704140] FAST spr round 5 (radius: 25)
[04:30:33 -244573.536976] FAST spr round 6 (radius: 25)
[04:32:02 -244573.536975] Model parameter optimization (eps = 1.000000)
[04:32:14 -244565.732313] SLOW spr round 1 (radius: 5)
[04:34:39 -244495.450258] SLOW spr round 2 (radius: 5)
[04:36:51 -244462.047743] SLOW spr round 3 (radius: 5)
[04:39:00 -244457.042965] SLOW spr round 4 (radius: 5)
[04:41:05 -244456.368054] SLOW spr round 5 (radius: 5)
[04:43:10 -244455.467647] SLOW spr round 6 (radius: 5)
[04:45:13 -244449.727408] SLOW spr round 7 (radius: 5)
[04:47:18 -244449.727360] SLOW spr round 8 (radius: 10)
[04:49:27 -244449.727360] SLOW spr round 9 (radius: 15)
[04:53:23 -244449.727360] SLOW spr round 10 (radius: 20)
[04:59:32 -244449.727360] SLOW spr round 11 (radius: 25)
[05:07:28 -244449.727360] Model parameter optimization (eps = 0.100000)

[05:07:38] ML tree search #5, logLikelihood: -244449.421972

[05:07:38 -742987.065569] Initial branch length optimization
[05:07:42 -642304.238865] Model parameter optimization (eps = 10.000000)
[05:08:08 -641188.964173] AUTODETECT spr round 1 (radius: 5)
[05:10:13 -491075.591087] AUTODETECT spr round 2 (radius: 10)
[05:12:45 -377324.987898] AUTODETECT spr round 3 (radius: 15)
[05:15:25 -322574.573302] AUTODETECT spr round 4 (radius: 20)
[05:18:49 -303269.815206] AUTODETECT spr round 5 (radius: 25)
[05:22:50 -290664.010955] SPR radius for FAST iterations: 25 (autodetect)
[05:22:51 -290664.010955] Model parameter optimization (eps = 3.000000)
[05:22:55 -290662.858188] FAST spr round 1 (radius: 25)
[05:25:57 -246317.898070] FAST spr round 2 (radius: 25)
[05:28:11 -244864.971605] FAST spr round 3 (radius: 25)
[05:30:04 -244792.152346] FAST spr round 4 (radius: 25)
[05:31:47 -244771.441416] FAST spr round 5 (radius: 25)
[05:33:19 -244771.441415] Model parameter optimization (eps = 1.000000)
[05:33:34 -244588.738137] SLOW spr round 1 (radius: 5)
[05:36:05 -244522.236836] SLOW spr round 2 (radius: 5)
[05:38:22 -244507.348678] SLOW spr round 3 (radius: 5)
[05:40:28 -244503.168489] SLOW spr round 4 (radius: 5)
[05:42:34 -244503.168477] SLOW spr round 5 (radius: 10)
[05:44:46 -244501.278238] SLOW spr round 6 (radius: 5)
[05:47:30 -244501.278230] SLOW spr round 7 (radius: 10)
[05:50:01 -244501.278230] SLOW spr round 8 (radius: 15)
[05:53:23 -244501.278230] SLOW spr round 9 (radius: 20)
[05:59:50 -244501.278230] SLOW spr round 10 (radius: 25)
[06:07:23 -244501.278230] Model parameter optimization (eps = 0.100000)

[06:07:30] ML tree search #6, logLikelihood: -244501.174063

[06:07:31 -738932.345926] Initial branch length optimization
[06:07:34 -641826.339136] Model parameter optimization (eps = 10.000000)
[06:08:03 -640696.208173] AUTODETECT spr round 1 (radius: 5)
[06:10:04 -472878.686088] AUTODETECT spr round 2 (radius: 10)
[06:12:23 -360866.592728] AUTODETECT spr round 3 (radius: 15)
[06:15:06 -292576.445441] AUTODETECT spr round 4 (radius: 20)
[06:18:19 -277852.404445] AUTODETECT spr round 5 (radius: 25)
[06:22:37 -276920.995127] SPR radius for FAST iterations: 25 (autodetect)
[06:22:37 -276920.995127] Model parameter optimization (eps = 3.000000)
[06:22:55 -276712.098934] FAST spr round 1 (radius: 25)
[06:25:47 -245462.946958] FAST spr round 2 (radius: 25)
[06:27:53 -244672.496567] FAST spr round 3 (radius: 25)
[06:29:48 -244610.715666] FAST spr round 4 (radius: 25)
[06:31:27 -244592.088352] FAST spr round 5 (radius: 25)
[06:33:00 -244576.843015] FAST spr round 6 (radius: 25)
[06:34:30 -244571.882639] FAST spr round 7 (radius: 25)
[06:35:59 -244568.286727] FAST spr round 8 (radius: 25)
[06:37:26 -244568.286722] Model parameter optimization (eps = 1.000000)
[06:37:39 -244548.763559] SLOW spr round 1 (radius: 5)
[06:39:58 -244501.713566] SLOW spr round 2 (radius: 5)
[06:42:06 -244491.768891] SLOW spr round 3 (radius: 5)
[06:44:10 -244491.206823] SLOW spr round 4 (radius: 5)
[06:46:11 -244490.608333] SLOW spr round 5 (radius: 5)
[06:48:11 -244490.608327] SLOW spr round 6 (radius: 10)
[06:50:19 -244489.188325] SLOW spr round 7 (radius: 5)
[06:53:06 -244484.274061] SLOW spr round 8 (radius: 5)
[06:55:25 -244484.274046] SLOW spr round 9 (radius: 10)
[06:57:39 -244476.360753] SLOW spr round 10 (radius: 5)
[07:00:21 -244474.465893] SLOW spr round 11 (radius: 5)
[07:02:42 -244470.576003] SLOW spr round 12 (radius: 5)
[07:04:50 -244470.575867] SLOW spr round 13 (radius: 10)
[07:06:58 -244470.575835] SLOW spr round 14 (radius: 15)
[07:10:40 -244470.575822] SLOW spr round 15 (radius: 20)
[07:16:18 -244470.575817] SLOW spr round 16 (radius: 25)
[07:23:47 -244470.575815] Model parameter optimization (eps = 0.100000)

[07:23:54] ML tree search #7, logLikelihood: -244470.442887

[07:23:54 -743730.896332] Initial branch length optimization
[07:23:58 -644732.815799] Model parameter optimization (eps = 10.000000)
[07:24:26 -643512.559455] AUTODETECT spr round 1 (radius: 5)
[07:26:30 -485688.588704] AUTODETECT spr round 2 (radius: 10)
[07:28:51 -367202.974700] AUTODETECT spr round 3 (radius: 15)
[07:31:32 -307884.106901] AUTODETECT spr round 4 (radius: 20)
[07:34:48 -292943.112995] AUTODETECT spr round 5 (radius: 25)
[07:38:34 -289452.630116] SPR radius for FAST iterations: 25 (autodetect)
[07:38:34 -289452.630116] Model parameter optimization (eps = 3.000000)
[07:38:52 -289104.793648] FAST spr round 1 (radius: 25)
[07:41:53 -246400.814371] FAST spr round 2 (radius: 25)
[07:44:00 -244764.834913] FAST spr round 3 (radius: 25)
[07:45:51 -244641.056263] FAST spr round 4 (radius: 25)
[07:47:29 -244624.107581] FAST spr round 5 (radius: 25)
[07:49:01 -244624.107572] Model parameter optimization (eps = 1.000000)
[07:49:14 -244622.025283] SLOW spr round 1 (radius: 5)
[07:51:34 -244578.972776] SLOW spr round 2 (radius: 5)
[07:53:50 -244539.407077] SLOW spr round 3 (radius: 5)
[07:56:07 -244500.790533] SLOW spr round 4 (radius: 5)
[07:58:21 -244483.949677] SLOW spr round 5 (radius: 5)
[08:00:27 -244478.753132] SLOW spr round 6 (radius: 5)
[08:02:30 -244476.897109] SLOW spr round 7 (radius: 5)
[08:04:33 -244475.778399] SLOW spr round 8 (radius: 5)
[08:06:36 -244472.024400] SLOW spr round 9 (radius: 5)
[08:08:37 -244472.024355] SLOW spr round 10 (radius: 10)
[08:10:45 -244470.493777] SLOW spr round 11 (radius: 5)
[08:13:27 -244467.525173] SLOW spr round 12 (radius: 5)
[08:15:47 -244467.524995] SLOW spr round 13 (radius: 10)
[08:17:58 -244467.524995] SLOW spr round 14 (radius: 15)
[08:21:40 -244467.524995] SLOW spr round 15 (radius: 20)
[08:28:00 -244467.524995] SLOW spr round 16 (radius: 25)
[08:36:08 -244467.524995] Model parameter optimization (eps = 0.100000)

[08:36:14] ML tree search #8, logLikelihood: -244467.436735

[08:36:14 -741324.749706] Initial branch length optimization
[08:36:19 -643847.208860] Model parameter optimization (eps = 10.000000)
[08:36:47 -642662.525273] AUTODETECT spr round 1 (radius: 5)
[08:38:50 -480832.765979] AUTODETECT spr round 2 (radius: 10)
[08:41:09 -349967.195419] AUTODETECT spr round 3 (radius: 15)
[08:43:43 -300076.511915] AUTODETECT spr round 4 (radius: 20)
[08:46:37 -283004.997277] AUTODETECT spr round 5 (radius: 25)
[08:50:14 -273605.222004] SPR radius for FAST iterations: 25 (autodetect)
[08:50:14 -273605.222004] Model parameter optimization (eps = 3.000000)
[08:50:31 -273260.757130] FAST spr round 1 (radius: 25)
[08:53:15 -245753.103673] FAST spr round 2 (radius: 25)
[08:55:24 -244724.830217] FAST spr round 3 (radius: 25)
[08:57:19 -244588.115197] FAST spr round 4 (radius: 25)
[08:58:54 -244585.393305] FAST spr round 5 (radius: 25)
[09:00:24 -244585.393225] Model parameter optimization (eps = 1.000000)
[09:00:38 -244577.268395] SLOW spr round 1 (radius: 5)
[09:03:03 -244542.503337] SLOW spr round 2 (radius: 5)
[09:05:16 -244527.016778] SLOW spr round 3 (radius: 5)
[09:07:20 -244526.275004] SLOW spr round 4 (radius: 5)
[09:09:24 -244526.274976] SLOW spr round 5 (radius: 10)
[09:11:32 -244526.274976] SLOW spr round 6 (radius: 15)
[09:15:18 -244526.274976] SLOW spr round 7 (radius: 20)
[09:21:07 -244526.274976] SLOW spr round 8 (radius: 25)
[09:28:55 -244526.274976] Model parameter optimization (eps = 0.100000)

[09:29:04] ML tree search #9, logLikelihood: -244525.771982

[09:29:04 -741670.741023] Initial branch length optimization
[09:29:08 -644335.670038] Model parameter optimization (eps = 10.000000)
[09:29:41 -643167.442960] AUTODETECT spr round 1 (radius: 5)
[09:31:43 -490348.925496] AUTODETECT spr round 2 (radius: 10)
[09:34:11 -367829.908179] AUTODETECT spr round 3 (radius: 15)
[09:36:41 -317277.727180] AUTODETECT spr round 4 (radius: 20)
[09:40:02 -291024.117688] AUTODETECT spr round 5 (radius: 25)
[09:43:49 -288389.252761] SPR radius for FAST iterations: 25 (autodetect)
[09:43:49 -288389.252761] Model parameter optimization (eps = 3.000000)
[09:44:06 -288137.917069] FAST spr round 1 (radius: 25)
[09:47:08 -246474.664270] FAST spr round 2 (radius: 25)
[09:49:18 -244658.998712] FAST spr round 3 (radius: 25)
[09:51:09 -244587.582130] FAST spr round 4 (radius: 25)
[09:52:45 -244582.450872] FAST spr round 5 (radius: 25)
[09:54:16 -244582.450865] Model parameter optimization (eps = 1.000000)
[09:54:31 -244580.873688] SLOW spr round 1 (radius: 5)
[09:56:56 -244520.219296] SLOW spr round 2 (radius: 5)
[09:59:08 -244516.749970] SLOW spr round 3 (radius: 5)
[10:01:14 -244514.926595] SLOW spr round 4 (radius: 5)
[10:03:15 -244514.926561] SLOW spr round 5 (radius: 10)
[10:05:24 -244500.155811] SLOW spr round 6 (radius: 5)
[10:08:09 -244485.405334] SLOW spr round 7 (radius: 5)
[10:10:32 -244485.405306] SLOW spr round 8 (radius: 10)
[10:12:44 -244485.405306] SLOW spr round 9 (radius: 15)
[10:16:24 -244485.405306] SLOW spr round 10 (radius: 20)
[10:22:20 -244485.405306] SLOW spr round 11 (radius: 25)
[10:29:33 -244485.405306] Model parameter optimization (eps = 0.100000)

[10:29:41] ML tree search #10, logLikelihood: -244485.201172

[10:29:41 -745585.377642] Initial branch length optimization
[10:29:46 -645044.522369] Model parameter optimization (eps = 10.000000)
[10:30:18 -643837.668259] AUTODETECT spr round 1 (radius: 5)
[10:32:21 -475575.229662] AUTODETECT spr round 2 (radius: 10)
[10:34:39 -358152.275917] AUTODETECT spr round 3 (radius: 15)
[10:37:08 -309125.558524] AUTODETECT spr round 4 (radius: 20)
[10:40:25 -288141.887039] AUTODETECT spr round 5 (radius: 25)
[10:44:26 -284436.647635] SPR radius for FAST iterations: 25 (autodetect)
[10:44:26 -284436.647635] Model parameter optimization (eps = 3.000000)
[10:44:31 -284436.552665] FAST spr round 1 (radius: 25)
[10:47:29 -245969.624825] FAST spr round 2 (radius: 25)
[10:49:43 -244959.123817] FAST spr round 3 (radius: 25)
[10:51:33 -244877.004694] FAST spr round 4 (radius: 25)
[10:53:14 -244854.872637] FAST spr round 5 (radius: 25)
[10:54:46 -244849.552462] FAST spr round 6 (radius: 25)
[10:56:16 -244849.551476] Model parameter optimization (eps = 1.000000)
[10:56:20 -244849.499332] SLOW spr round 1 (radius: 5)
[10:58:52 -244805.242884] SLOW spr round 2 (radius: 5)
[11:01:08 -244786.928474] SLOW spr round 3 (radius: 5)
[11:03:16 -244782.800879] SLOW spr round 4 (radius: 5)
[11:05:20 -244781.872754] SLOW spr round 5 (radius: 5)
[11:07:24 -244781.872746] SLOW spr round 6 (radius: 10)
[11:09:34 -244780.290021] SLOW spr round 7 (radius: 5)
[11:12:18 -244777.381758] SLOW spr round 8 (radius: 5)
[11:14:38 -244777.381715] SLOW spr round 9 (radius: 10)
[11:16:52 -244776.653622] SLOW spr round 10 (radius: 5)
[11:19:33 -244775.049415] SLOW spr round 11 (radius: 5)
[11:21:54 -244775.049386] SLOW spr round 12 (radius: 10)
[11:24:07 -244775.049386] SLOW spr round 13 (radius: 15)
[11:27:47 -244775.049386] SLOW spr round 14 (radius: 20)
[11:33:37 -244775.049386] SLOW spr round 15 (radius: 25)
[11:40:52 -244775.049386] Model parameter optimization (eps = 0.100000)

[11:41:15] ML tree search #11, logLikelihood: -244540.950563

[11:41:15 -739676.712359] Initial branch length optimization
[11:41:21 -642305.418730] Model parameter optimization (eps = 10.000000)
[11:41:49 -641240.881950] AUTODETECT spr round 1 (radius: 5)
[11:43:50 -480690.537032] AUTODETECT spr round 2 (radius: 10)
[11:46:09 -351195.392918] AUTODETECT spr round 3 (radius: 15)
[11:48:44 -287312.677362] AUTODETECT spr round 4 (radius: 20)
[11:51:48 -276462.216288] AUTODETECT spr round 5 (radius: 25)
[11:55:51 -276082.488677] SPR radius for FAST iterations: 25 (autodetect)
[11:55:51 -276082.488677] Model parameter optimization (eps = 3.000000)
[11:55:55 -276081.881419] FAST spr round 1 (radius: 25)
[11:58:47 -245857.294078] FAST spr round 2 (radius: 25)
[12:00:54 -244936.482463] FAST spr round 3 (radius: 25)
[12:02:40 -244857.194034] FAST spr round 4 (radius: 25)
[12:04:17 -244846.454148] FAST spr round 5 (radius: 25)
[12:05:51 -244836.253785] FAST spr round 6 (radius: 25)
[12:07:20 -244836.253782] Model parameter optimization (eps = 1.000000)
[12:07:23 -244836.108921] SLOW spr round 1 (radius: 5)
[12:09:47 -244768.676535] SLOW spr round 2 (radius: 5)
[12:11:57 -244753.404598] SLOW spr round 3 (radius: 5)
[12:14:00 -244753.404596] SLOW spr round 4 (radius: 10)
[12:16:10 -244751.255613] SLOW spr round 5 (radius: 5)
[12:18:49 -244733.962149] SLOW spr round 6 (radius: 5)
[12:21:10 -244731.968207] SLOW spr round 7 (radius: 5)
[12:23:20 -244729.670157] SLOW spr round 8 (radius: 5)
[12:25:24 -244728.979508] SLOW spr round 9 (radius: 5)
[12:27:25 -244728.979492] SLOW spr round 10 (radius: 10)
[12:29:34 -244727.142054] SLOW spr round 11 (radius: 5)
[12:32:12 -244724.518010] SLOW spr round 12 (radius: 5)
[12:34:29 -244724.517832] SLOW spr round 13 (radius: 10)
[12:36:40 -244724.300913] SLOW spr round 14 (radius: 5)
[12:39:19 -244723.913119] SLOW spr round 15 (radius: 5)
[12:41:38 -244717.634626] SLOW spr round 16 (radius: 5)
[12:43:44 -244717.634620] SLOW spr round 17 (radius: 10)
[12:45:52 -244717.634620] SLOW spr round 18 (radius: 15)
[12:49:35 -244717.634620] SLOW spr round 19 (radius: 20)
[12:55:39 -244717.634620] SLOW spr round 20 (radius: 25)
[13:03:22 -244717.634620] Model parameter optimization (eps = 0.100000)

[13:03:38] ML tree search #12, logLikelihood: -244489.002149

[13:03:38 -739008.604253] Initial branch length optimization
[13:03:42 -640220.947429] Model parameter optimization (eps = 10.000000)
[13:04:07 -639114.148805] AUTODETECT spr round 1 (radius: 5)
[13:06:10 -478412.660642] AUTODETECT spr round 2 (radius: 10)
[13:08:29 -354935.528895] AUTODETECT spr round 3 (radius: 15)
[13:11:05 -298941.052535] AUTODETECT spr round 4 (radius: 20)
[13:14:08 -279184.790194] AUTODETECT spr round 5 (radius: 25)
[13:17:47 -277799.280143] SPR radius for FAST iterations: 25 (autodetect)
[13:17:47 -277799.280143] Model parameter optimization (eps = 3.000000)
[13:18:06 -277576.619235] FAST spr round 1 (radius: 25)
[13:21:03 -245850.934425] FAST spr round 2 (radius: 25)
[13:23:03 -244786.694772] FAST spr round 3 (radius: 25)
[13:24:53 -244636.711739] FAST spr round 4 (radius: 25)
[13:26:40 -244617.833529] FAST spr round 5 (radius: 25)
[13:28:15 -244617.833413] Model parameter optimization (eps = 1.000000)
[13:28:29 -244605.201397] SLOW spr round 1 (radius: 5)
[13:30:37 -244541.606734] SLOW spr round 2 (radius: 5)
[13:32:24 -244515.811213] SLOW spr round 3 (radius: 5)
[13:34:07 -244515.297299] SLOW spr round 4 (radius: 5)
[13:35:56 -244513.696295] SLOW spr round 5 (radius: 5)
[13:37:42 -244513.696286] SLOW spr round 6 (radius: 10)
[13:39:35 -244513.696286] SLOW spr round 7 (radius: 15)
[13:42:40 -244513.696286] SLOW spr round 8 (radius: 20)
[13:47:13 -244513.696286] SLOW spr round 9 (radius: 25)
[13:53:05 -244513.696286] Model parameter optimization (eps = 0.100000)

[13:53:09] ML tree search #13, logLikelihood: -244513.684744

[13:53:09 -741541.500508] Initial branch length optimization
[13:53:12 -642912.985972] Model parameter optimization (eps = 10.000000)
[13:53:39 -641872.827241] AUTODETECT spr round 1 (radius: 5)
[13:55:14 -477219.234535] AUTODETECT spr round 2 (radius: 10)
[13:57:03 -363563.747987] AUTODETECT spr round 3 (radius: 15)
[13:58:57 -317623.450844] AUTODETECT spr round 4 (radius: 20)
[14:01:18 -302733.554424] AUTODETECT spr round 5 (radius: 25)
[14:03:55 -295032.291908] SPR radius for FAST iterations: 25 (autodetect)
[14:03:55 -295032.291908] Model parameter optimization (eps = 3.000000)
[14:04:09 -294726.172625] FAST spr round 1 (radius: 25)
[14:06:28 -246800.699171] FAST spr round 2 (radius: 25)
[14:08:12 -244715.741800] FAST spr round 3 (radius: 25)
[14:09:40 -244622.879411] FAST spr round 4 (radius: 25)
[14:10:59 -244610.086845] FAST spr round 5 (radius: 25)
[14:12:11 -244610.086817] Model parameter optimization (eps = 1.000000)
[14:12:20 -244604.825538] SLOW spr round 1 (radius: 5)
[14:14:13 -244534.728854] SLOW spr round 2 (radius: 5)
[14:16:05 -244520.250697] SLOW spr round 3 (radius: 5)
[14:18:00 -244517.993327] SLOW spr round 4 (radius: 5)
[14:19:44 -244517.993310] SLOW spr round 5 (radius: 10)
[14:21:25 -244503.728807] SLOW spr round 6 (radius: 5)
[14:23:35 -244489.822944] SLOW spr round 7 (radius: 5)
[14:25:38 -244489.822852] SLOW spr round 8 (radius: 10)
[14:27:37 -244489.822852] SLOW spr round 9 (radius: 15)
[14:30:45 -244489.822852] SLOW spr round 10 (radius: 20)
[14:35:35 -244489.822852] SLOW spr round 11 (radius: 25)
[14:41:15 -244489.822852] Model parameter optimization (eps = 0.100000)

[14:41:19] ML tree search #14, logLikelihood: -244489.806474

[14:41:19 -742944.162573] Initial branch length optimization
[14:41:22 -644260.684122] Model parameter optimization (eps = 10.000000)
[14:41:48 -643171.531751] AUTODETECT spr round 1 (radius: 5)
[14:43:35 -485248.220985] AUTODETECT spr round 2 (radius: 10)
[14:45:38 -352846.671487] AUTODETECT spr round 3 (radius: 15)
[14:47:40 -301368.742123] AUTODETECT spr round 4 (radius: 20)
[14:49:59 -279022.629133] AUTODETECT spr round 5 (radius: 25)
[14:52:37 -277970.777160] SPR radius for FAST iterations: 25 (autodetect)
[14:52:37 -277970.777160] Model parameter optimization (eps = 3.000000)
[14:52:51 -277731.582054] FAST spr round 1 (radius: 25)
[14:55:25 -245649.603507] FAST spr round 2 (radius: 25)
[14:57:18 -244683.979499] FAST spr round 3 (radius: 25)
[14:58:51 -244595.804227] FAST spr round 4 (radius: 25)
[15:00:11 -244582.016412] FAST spr round 5 (radius: 25)
[15:01:24 -244579.567374] FAST spr round 6 (radius: 25)
[15:02:41 -244579.230628] FAST spr round 7 (radius: 25)
[15:04:00 -244579.230600] Model parameter optimization (eps = 1.000000)
[15:04:06 -244578.378744] SLOW spr round 1 (radius: 5)
[15:06:14 -244506.494532] SLOW spr round 2 (radius: 5)
[15:07:57 -244498.386670] SLOW spr round 3 (radius: 5)
[15:09:34 -244498.386670] SLOW spr round 4 (radius: 10)
[15:11:14 -244496.567986] SLOW spr round 5 (radius: 5)
[15:13:39 -244493.625922] SLOW spr round 6 (radius: 5)
[15:15:53 -244493.625742] SLOW spr round 7 (radius: 10)
[15:17:53 -244493.625742] SLOW spr round 8 (radius: 15)
[15:21:21 -244493.625742] SLOW spr round 9 (radius: 20)
[15:26:50 -244493.625742] SLOW spr round 10 (radius: 25)
[15:33:10 -244493.625742] Model parameter optimization (eps = 0.100000)

[15:33:14] ML tree search #15, logLikelihood: -244493.604608

[15:33:15 -742522.663294] Initial branch length optimization
[15:33:19 -644666.631602] Model parameter optimization (eps = 10.000000)
[15:33:54 -643554.393453] AUTODETECT spr round 1 (radius: 5)
[15:35:52 -491777.043823] AUTODETECT spr round 2 (radius: 10)
[15:38:12 -365307.185574] AUTODETECT spr round 3 (radius: 15)
[15:40:42 -311643.259085] AUTODETECT spr round 4 (radius: 20)
[15:43:39 -292638.779930] AUTODETECT spr round 5 (radius: 25)
[15:46:54 -290587.891443] SPR radius for FAST iterations: 25 (autodetect)
[15:46:54 -290587.891443] Model parameter optimization (eps = 3.000000)
[15:47:19 -290336.298640] FAST spr round 1 (radius: 25)
[15:50:13 -247688.100657] FAST spr round 2 (radius: 25)
[15:52:18 -244693.034730] FAST spr round 3 (radius: 25)
[15:54:11 -244568.090944] FAST spr round 4 (radius: 25)
[15:55:46 -244558.511354] FAST spr round 5 (radius: 25)
[15:57:16 -244556.220196] FAST spr round 6 (radius: 25)
[15:58:44 -244556.220160] Model parameter optimization (eps = 1.000000)
[15:58:48 -244556.040508] SLOW spr round 1 (radius: 5)
[16:01:06 -244514.593969] SLOW spr round 2 (radius: 5)
[16:03:11 -244512.700976] SLOW spr round 3 (radius: 5)
[16:05:14 -244512.700974] SLOW spr round 4 (radius: 10)
[16:07:22 -244503.462557] SLOW spr round 5 (radius: 5)
[16:10:02 -244502.314230] SLOW spr round 6 (radius: 5)
[16:12:22 -244502.314227] SLOW spr round 7 (radius: 10)
[16:14:34 -244502.314227] SLOW spr round 8 (radius: 15)
[16:18:08 -244502.314227] SLOW spr round 9 (radius: 20)
[16:23:31 -244502.314227] SLOW spr round 10 (radius: 25)
[16:30:28 -244502.314227] Model parameter optimization (eps = 0.100000)

[16:30:42] ML tree search #16, logLikelihood: -244497.335961

[16:30:42 -737513.088135] Initial branch length optimization
[16:30:46 -639791.880037] Model parameter optimization (eps = 10.000000)
[16:31:29 -638677.202338] AUTODETECT spr round 1 (radius: 5)
[16:33:30 -478073.309746] AUTODETECT spr round 2 (radius: 10)
[16:35:47 -347529.600172] AUTODETECT spr round 3 (radius: 15)
[16:38:14 -310698.995293] AUTODETECT spr round 4 (radius: 20)
[16:41:11 -282861.001736] AUTODETECT spr round 5 (radius: 25)
[16:44:24 -276561.881157] SPR radius for FAST iterations: 25 (autodetect)
[16:44:24 -276561.881157] Model parameter optimization (eps = 3.000000)
[16:44:42 -276299.858000] FAST spr round 1 (radius: 25)
[16:47:32 -245484.095747] FAST spr round 2 (radius: 25)
[16:49:40 -244727.056709] FAST spr round 3 (radius: 25)
[16:51:30 -244630.120605] FAST spr round 4 (radius: 25)
[16:53:05 -244621.348675] FAST spr round 5 (radius: 25)
[16:54:36 -244621.348665] Model parameter optimization (eps = 1.000000)
[16:54:45 -244619.942723] SLOW spr round 1 (radius: 5)
[16:57:09 -244538.084936] SLOW spr round 2 (radius: 5)
[16:59:27 -244502.634189] SLOW spr round 3 (radius: 5)
[17:01:36 -244488.406582] SLOW spr round 4 (radius: 5)
[17:03:44 -244479.715539] SLOW spr round 5 (radius: 5)
[17:05:45 -244479.715539] SLOW spr round 6 (radius: 10)
[17:07:49 -244479.715539] SLOW spr round 7 (radius: 15)
[17:11:33 -244479.715539] SLOW spr round 8 (radius: 20)
[17:16:58 -244479.715539] SLOW spr round 9 (radius: 25)
[17:24:11 -244479.715539] Model parameter optimization (eps = 0.100000)

[17:24:20] ML tree search #17, logLikelihood: -244478.928209

[17:24:20 -742221.786858] Initial branch length optimization
[17:24:23 -643451.262117] Model parameter optimization (eps = 10.000000)
[17:24:54 -642244.033643] AUTODETECT spr round 1 (radius: 5)
[17:26:56 -476578.602001] AUTODETECT spr round 2 (radius: 10)
[17:29:14 -367061.530015] AUTODETECT spr round 3 (radius: 15)
[17:31:55 -312878.670081] AUTODETECT spr round 4 (radius: 20)
[17:34:58 -293117.527286] AUTODETECT spr round 5 (radius: 25)
[17:38:32 -286420.478175] SPR radius for FAST iterations: 25 (autodetect)
[17:38:32 -286420.478175] Model parameter optimization (eps = 3.000000)
[17:38:47 -286135.078904] FAST spr round 1 (radius: 25)
[17:41:45 -246705.226449] FAST spr round 2 (radius: 25)
[17:43:57 -244728.269138] FAST spr round 3 (radius: 25)
[17:45:51 -244587.439053] FAST spr round 4 (radius: 25)
[17:47:26 -244585.021132] FAST spr round 5 (radius: 25)
[17:48:57 -244585.021034] Model parameter optimization (eps = 1.000000)
[17:49:02 -244584.620733] SLOW spr round 1 (radius: 5)
[17:51:29 -244524.332000] SLOW spr round 2 (radius: 5)
[17:53:39 -244504.214340] SLOW spr round 3 (radius: 5)
[17:55:43 -244502.217192] SLOW spr round 4 (radius: 5)
[17:57:45 -244502.217186] SLOW spr round 5 (radius: 10)
[17:59:51 -244502.217186] SLOW spr round 6 (radius: 15)
[18:03:34 -244502.217186] SLOW spr round 7 (radius: 20)
[18:09:16 -244502.217186] SLOW spr round 8 (radius: 25)
[18:16:42 -244502.217186] Model parameter optimization (eps = 0.100000)

[18:16:54] ML tree search #18, logLikelihood: -244489.552667

[18:16:54 -742635.534882] Initial branch length optimization
[18:16:58 -642319.890961] Model parameter optimization (eps = 10.000000)
[18:17:36 -641197.978384] AUTODETECT spr round 1 (radius: 5)
[18:19:41 -488389.318591] AUTODETECT spr round 2 (radius: 10)
[18:22:11 -358997.893700] AUTODETECT spr round 3 (radius: 15)
[18:24:44 -305790.707848] AUTODETECT spr round 4 (radius: 20)
[18:27:55 -288721.789226] AUTODETECT spr round 5 (radius: 25)
[18:31:32 -285047.511704] SPR radius for FAST iterations: 25 (autodetect)
[18:31:32 -285047.511704] Model parameter optimization (eps = 3.000000)
[18:31:49 -284770.162316] FAST spr round 1 (radius: 25)
[18:34:43 -245838.392430] FAST spr round 2 (radius: 25)
[18:36:51 -244725.192808] FAST spr round 3 (radius: 25)
[18:38:45 -244653.039054] FAST spr round 4 (radius: 25)
[18:40:22 -244637.536590] FAST spr round 5 (radius: 25)
[18:41:53 -244631.274640] FAST spr round 6 (radius: 25)
[18:43:25 -244620.943632] FAST spr round 7 (radius: 25)
[18:44:53 -244620.943630] Model parameter optimization (eps = 1.000000)
[18:45:02 -244615.095657] SLOW spr round 1 (radius: 5)
[18:47:25 -244538.181777] SLOW spr round 2 (radius: 5)
[18:49:40 -244517.277091] SLOW spr round 3 (radius: 5)
[18:51:45 -244514.019072] SLOW spr round 4 (radius: 5)
[18:53:49 -244514.019062] SLOW spr round 5 (radius: 10)
[18:55:57 -244512.362662] SLOW spr round 6 (radius: 5)
[18:58:40 -244509.640793] SLOW spr round 7 (radius: 5)
[19:01:01 -244509.640617] SLOW spr round 8 (radius: 10)
[19:03:14 -244509.640617] SLOW spr round 9 (radius: 15)
[19:06:54 -244509.640617] SLOW spr round 10 (radius: 20)
[19:12:59 -244509.640617] SLOW spr round 11 (radius: 25)
[19:20:43 -244509.640617] Model parameter optimization (eps = 0.100000)

[19:20:47] ML tree search #19, logLikelihood: -244509.547322

[19:20:47 -744850.600753] Initial branch length optimization
[19:20:51 -645711.689327] Model parameter optimization (eps = 10.000000)
[19:21:18 -644515.213055] AUTODETECT spr round 1 (radius: 5)
[19:23:17 -479915.266263] AUTODETECT spr round 2 (radius: 10)
[19:25:37 -358341.403949] AUTODETECT spr round 3 (radius: 15)
[19:27:59 -306400.926724] AUTODETECT spr round 4 (radius: 20)
[19:31:02 -280402.622315] AUTODETECT spr round 5 (radius: 25)
[19:34:52 -278602.275399] SPR radius for FAST iterations: 25 (autodetect)
[19:34:52 -278602.275399] Model parameter optimization (eps = 3.000000)
[19:34:56 -278602.096502] FAST spr round 1 (radius: 25)
[19:37:55 -246034.147264] FAST spr round 2 (radius: 25)
[19:40:03 -245046.239913] FAST spr round 3 (radius: 25)
[19:41:58 -244886.650468] FAST spr round 4 (radius: 25)
[19:43:38 -244873.040728] FAST spr round 5 (radius: 25)
[19:45:08 -244869.827083] FAST spr round 6 (radius: 25)
[19:46:38 -244869.827032] Model parameter optimization (eps = 1.000000)
[19:46:57 -244628.489239] SLOW spr round 1 (radius: 5)
[19:49:23 -244539.175119] SLOW spr round 2 (radius: 5)
[19:51:39 -244508.463489] SLOW spr round 3 (radius: 5)
[19:53:44 -244508.044072] SLOW spr round 4 (radius: 5)
[19:55:47 -244507.665025] SLOW spr round 5 (radius: 5)
[19:57:50 -244507.665023] SLOW spr round 6 (radius: 10)
[19:59:58 -244507.665023] SLOW spr round 7 (radius: 15)
[20:03:45 -244507.665023] SLOW spr round 8 (radius: 20)
[20:09:14 -244507.665023] SLOW spr round 9 (radius: 25)
[20:16:32 -244507.665023] Model parameter optimization (eps = 0.100000)

[20:16:39] ML tree search #20, logLikelihood: -244507.550389


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.304704,0.231485) (0.330241,0.496086) (0.192899,1.226250) (0.172156,3.073345) 
   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: -244449.421972

AIC score: 492908.843944 / AICc score: 8536968.843944 / BIC score: 502161.368772
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=746).
         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/Q99798/3_mltree/Q99798.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q99798/3_mltree/Q99798.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q99798/3_mltree/Q99798.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q99798/3_mltree/Q99798.raxml.log

Analysis started: 05-Jul-2021 22:13:31 / finished: 06-Jul-2021 18:30:12

Elapsed time: 73000.128 seconds

Consumed energy: 6422.116 Wh (= 32 km in an electric car, or 161 km with an e-scooter!)