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 04-Jul-2021 15:21:36 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6NSJ0/2_msa/Q6NSJ0_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6NSJ0/3_mltree/Q6NSJ0 --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/Q6NSJ0/2_msa/Q6NSJ0_trimmed_msa.fasta
[00:00:00] Loaded alignment with 728 taxa and 437 sites

WARNING: Sequences tr_M3Z469_M3Z469_MUSPF_9669 and tr_A0A2Y9J7V2_A0A2Y9J7V2_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_B2W4X0_B2W4X0_PYRTR_426418 and tr_A0A2W1E205_A0A2W1E205_9PLEO_45151 are exactly identical!
WARNING: Sequences tr_G3QXJ4_G3QXJ4_GORGO_9595 and sp_Q6NSJ0_MYORG_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3QXJ4_G3QXJ4_GORGO_9595 and tr_A0A2R8ZJA4_A0A2R8ZJA4_PANPA_9597 are exactly identical!
WARNING: Sequences tr_J9PAS5_J9PAS5_CANLF_9615 and tr_D2I3F3_D2I3F3_AILME_9646 are exactly identical!
WARNING: Sequences tr_A0A158P0S6_A0A158P0S6_ATTCE_12957 and tr_A0A195B5W0_A0A195B5W0_9HYME_520822 are exactly identical!
WARNING: Sequences tr_F9XH81_F9XH81_ZYMTI_336722 and tr_A0A1X7S245_A0A1X7S245_ZYMTR_1276538 are exactly identical!
WARNING: Sequences tr_F2SZS3_F2SZS3_TRIRC_559305 and tr_A0A178F8Z0_A0A178F8Z0_TRIRU_5551 are exactly identical!
WARNING: Sequences tr_F2Q462_F2Q462_TRIEC_559882 and tr_A0A059IXR7_A0A059IXR7_9EURO_1215338 are exactly identical!
WARNING: Sequences tr_W2Q2E0_W2Q2E0_PHYPN_761204 and tr_A0A0W8CEA3_A0A0W8CEA3_PHYNI_4790 are exactly identical!
WARNING: Sequences tr_A0A0D2T2M4_A0A0D2T2M4_GOSRA_29730 and tr_A0A1U8NB25_A0A1U8NB25_GOSHI_3635 are exactly identical!
WARNING: Sequences tr_A0A0V1CPW4_A0A0V1CPW4_TRIBR_45882 and tr_A0A0V0TYF6_A0A0V0TYF6_9BILA_144512 are exactly identical!
WARNING: Sequences tr_A0A0V0WS06_A0A0V0WS06_9BILA_92179 and tr_A0A0V1L6D8_A0A0V1L6D8_9BILA_6335 are exactly identical!
WARNING: Sequences tr_A0A164QPG3_A0A164QPG3_9HOMO_1314777 and tr_A0A166C9L5_A0A166C9L5_9HOMO_1314776 are exactly identical!
WARNING: Sequences tr_A0A1S4ASP4_A0A1S4ASP4_TOBAC_4097 and tr_A0A1U7YB13_A0A1U7YB13_NICSY_4096 are exactly identical!
WARNING: Sequences tr_A0A1S3JD46_A0A1S3JD46_LINUN_7574 and tr_A0A1S3JD59_A0A1S3JD59_LINUN_7574 are exactly identical!
WARNING: Sequences tr_A0A1D1ULD6_A0A1D1ULD6_RAMVA_947166 and tr_A0A1D1URF3_A0A1D1URF3_RAMVA_947166 are exactly identical!
WARNING: Sequences tr_A0A226N0N0_A0A226N0N0_CALSU_9009 and tr_A0A226PNI4_A0A226PNI4_COLVI_9014 are exactly identical!
WARNING: Sequences tr_A0A2G2YCD7_A0A2G2YCD7_CAPAN_4072 and tr_A0A2G3B6F7_A0A2G3B6F7_CAPCH_80379 are exactly identical!
WARNING: Duplicate sequences found: 19

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/Q6NSJ0/3_mltree/Q6NSJ0.raxml.reduced.phy

Alignment comprises 1 partitions and 437 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 437 / 437
Gaps: 8.46 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6NSJ0/3_mltree/Q6NSJ0.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 728 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 63 / 5040
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -643624.756615] Initial branch length optimization
[00:00:03 -542021.309100] Model parameter optimization (eps = 10.000000)
[00:00:19 -539576.244243] AUTODETECT spr round 1 (radius: 5)
[00:01:11 -397268.475276] AUTODETECT spr round 2 (radius: 10)
[00:02:09 -303020.916549] AUTODETECT spr round 3 (radius: 15)
[00:03:14 -261636.855590] AUTODETECT spr round 4 (radius: 20)
[00:04:32 -245326.780138] AUTODETECT spr round 5 (radius: 25)
[00:06:15 -244105.335652] SPR radius for FAST iterations: 25 (autodetect)
[00:06:15 -244105.335652] Model parameter optimization (eps = 3.000000)
[00:06:27 -243741.591267] FAST spr round 1 (radius: 25)
[00:07:43 -219331.136214] FAST spr round 2 (radius: 25)
[00:08:45 -217907.356889] FAST spr round 3 (radius: 25)
[00:09:40 -217809.311314] FAST spr round 4 (radius: 25)
[00:10:26 -217804.268513] FAST spr round 5 (radius: 25)
[00:11:12 -217796.431091] FAST spr round 6 (radius: 25)
[00:11:58 -217795.136788] FAST spr round 7 (radius: 25)
[00:12:43 -217795.136660] Model parameter optimization (eps = 1.000000)
[00:12:55 -217792.539123] SLOW spr round 1 (radius: 5)
[00:14:02 -217732.010443] SLOW spr round 2 (radius: 5)
[00:15:07 -217714.367350] SLOW spr round 3 (radius: 5)
[00:16:09 -217711.783270] SLOW spr round 4 (radius: 5)
[00:17:08 -217709.400358] SLOW spr round 5 (radius: 5)
[00:18:13 -217709.400241] SLOW spr round 6 (radius: 10)
[00:19:15 -217709.399517] SLOW spr round 7 (radius: 15)
[00:20:52 -217709.399415] SLOW spr round 8 (radius: 20)
[00:23:07 -217709.399312] SLOW spr round 9 (radius: 25)
[00:25:53 -217709.399210] Model parameter optimization (eps = 0.100000)

[00:25:57] ML tree search #1, logLikelihood: -217709.276788

[00:25:58 -656204.198148] Initial branch length optimization
[00:26:00 -553011.174908] Model parameter optimization (eps = 10.000000)
[00:26:14 -550233.333841] AUTODETECT spr round 1 (radius: 5)
[00:27:05 -404516.995530] AUTODETECT spr round 2 (radius: 10)
[00:28:02 -304034.326499] AUTODETECT spr round 3 (radius: 15)
[00:29:06 -261874.103817] AUTODETECT spr round 4 (radius: 20)
[00:30:18 -245074.148863] AUTODETECT spr round 5 (radius: 25)
[00:31:37 -241807.128989] SPR radius for FAST iterations: 25 (autodetect)
[00:31:37 -241807.128989] Model parameter optimization (eps = 3.000000)
[00:31:40 -241804.186229] FAST spr round 1 (radius: 25)
[00:32:54 -218867.612362] FAST spr round 2 (radius: 25)
[00:33:54 -218050.336598] FAST spr round 3 (radius: 25)
[00:34:48 -217997.399334] FAST spr round 4 (radius: 25)
[00:35:34 -217994.324917] FAST spr round 5 (radius: 25)
[00:36:19 -217994.324234] Model parameter optimization (eps = 1.000000)
[00:36:34 -217795.821808] SLOW spr round 1 (radius: 5)
[00:37:38 -217740.382077] SLOW spr round 2 (radius: 5)
[00:38:41 -217732.548666] SLOW spr round 3 (radius: 5)
[00:39:41 -217725.845404] SLOW spr round 4 (radius: 5)
[00:40:41 -217721.138293] SLOW spr round 5 (radius: 5)
[00:41:40 -217719.990535] SLOW spr round 6 (radius: 5)
[00:42:38 -217719.989653] SLOW spr round 7 (radius: 10)
[00:43:37 -217719.428767] SLOW spr round 8 (radius: 5)
[00:44:49 -217717.328700] SLOW spr round 9 (radius: 5)
[00:45:53 -217717.326142] SLOW spr round 10 (radius: 10)
[00:46:54 -217717.325738] SLOW spr round 11 (radius: 15)
[00:48:22 -217717.325604] SLOW spr round 12 (radius: 20)
[00:50:24 -217717.325474] SLOW spr round 13 (radius: 25)
[00:52:46 -217717.325343] Model parameter optimization (eps = 0.100000)

[00:52:55] ML tree search #2, logLikelihood: -217715.445038

[00:52:55 -647070.176151] Initial branch length optimization
[00:52:57 -542706.440720] Model parameter optimization (eps = 10.000000)
[00:53:13 -540348.057124] AUTODETECT spr round 1 (radius: 5)
[00:54:03 -398066.361076] AUTODETECT spr round 2 (radius: 10)
[00:54:59 -312473.226233] AUTODETECT spr round 3 (radius: 15)
[00:56:05 -256792.697575] AUTODETECT spr round 4 (radius: 20)
[00:57:19 -243306.989149] AUTODETECT spr round 5 (radius: 25)
[00:58:54 -243148.470598] SPR radius for FAST iterations: 25 (autodetect)
[00:58:54 -243148.470598] Model parameter optimization (eps = 3.000000)
[00:59:07 -242854.029532] FAST spr round 1 (radius: 25)
[01:00:18 -218918.047397] FAST spr round 2 (radius: 25)
[01:01:18 -217834.754721] FAST spr round 3 (radius: 25)
[01:02:13 -217778.325133] FAST spr round 4 (radius: 25)
[01:03:00 -217772.751851] FAST spr round 5 (radius: 25)
[01:03:46 -217772.751736] Model parameter optimization (eps = 1.000000)
[01:03:57 -217767.943241] SLOW spr round 1 (radius: 5)
[01:05:01 -217723.146863] SLOW spr round 2 (radius: 5)
[01:06:05 -217712.750352] SLOW spr round 3 (radius: 5)
[01:07:06 -217700.616186] SLOW spr round 4 (radius: 5)
[01:08:06 -217694.799384] SLOW spr round 5 (radius: 5)
[01:09:06 -217694.402599] SLOW spr round 6 (radius: 5)
[01:10:04 -217694.402391] SLOW spr round 7 (radius: 10)
[01:11:06 -217693.844037] SLOW spr round 8 (radius: 5)
[01:12:19 -217693.648786] SLOW spr round 9 (radius: 5)
[01:13:24 -217693.648489] SLOW spr round 10 (radius: 10)
[01:14:28 -217693.648379] SLOW spr round 11 (radius: 15)
[01:16:00 -217693.648270] SLOW spr round 12 (radius: 20)
[01:18:09 -217693.648161] SLOW spr round 13 (radius: 25)
[01:20:42 -217693.648052] Model parameter optimization (eps = 0.100000)

[01:20:51] ML tree search #3, logLikelihood: -217693.220138

[01:20:51 -650643.966506] Initial branch length optimization
[01:20:53 -547204.484728] Model parameter optimization (eps = 10.000000)
[01:21:10 -544641.152029] AUTODETECT spr round 1 (radius: 5)
[01:22:00 -401238.179285] AUTODETECT spr round 2 (radius: 10)
[01:22:58 -309880.356867] AUTODETECT spr round 3 (radius: 15)
[01:24:00 -277143.603162] AUTODETECT spr round 4 (radius: 20)
[01:25:19 -256079.346475] AUTODETECT spr round 5 (radius: 25)
[01:26:50 -247091.693369] SPR radius for FAST iterations: 25 (autodetect)
[01:26:50 -247091.693369] Model parameter optimization (eps = 3.000000)
[01:27:07 -246769.690039] FAST spr round 1 (radius: 25)
[01:28:19 -219079.549036] FAST spr round 2 (radius: 25)
[01:29:18 -217940.056905] FAST spr round 3 (radius: 25)
[01:30:12 -217784.021078] FAST spr round 4 (radius: 25)
[01:31:01 -217760.663481] FAST spr round 5 (radius: 25)
[01:31:50 -217753.578173] FAST spr round 6 (radius: 25)
[01:32:38 -217753.577957] Model parameter optimization (eps = 1.000000)
[01:32:47 -217751.565416] SLOW spr round 1 (radius: 5)
[01:33:53 -217727.368527] SLOW spr round 2 (radius: 5)
[01:34:56 -217721.717821] SLOW spr round 3 (radius: 5)
[01:35:59 -217715.945093] SLOW spr round 4 (radius: 5)
[01:36:59 -217715.944860] SLOW spr round 5 (radius: 10)
[01:38:01 -217715.944736] SLOW spr round 6 (radius: 15)
[01:39:43 -217713.583006] SLOW spr round 7 (radius: 5)
[01:41:01 -217712.696649] SLOW spr round 8 (radius: 5)
[01:42:10 -217712.696521] SLOW spr round 9 (radius: 10)
[01:43:16 -217712.696394] SLOW spr round 10 (radius: 15)
[01:44:51 -217712.696267] SLOW spr round 11 (radius: 20)
[01:47:05 -217712.696166] SLOW spr round 12 (radius: 25)
[01:49:47 -217712.696098] Model parameter optimization (eps = 0.100000)

[01:49:52] ML tree search #4, logLikelihood: -217712.526844

[01:49:52 -650337.224302] Initial branch length optimization
[01:49:55 -547055.802753] Model parameter optimization (eps = 10.000000)
[01:50:15 -544611.886274] AUTODETECT spr round 1 (radius: 5)
[01:51:08 -391188.384427] AUTODETECT spr round 2 (radius: 10)
[01:52:04 -299899.037849] AUTODETECT spr round 3 (radius: 15)
[01:53:10 -253348.738560] AUTODETECT spr round 4 (radius: 20)
[01:54:30 -244267.643120] AUTODETECT spr round 5 (radius: 25)
[01:56:04 -242054.813887] SPR radius for FAST iterations: 25 (autodetect)
[01:56:04 -242054.813887] Model parameter optimization (eps = 3.000000)
[01:56:20 -241732.021095] FAST spr round 1 (radius: 25)
[01:57:32 -218805.970940] FAST spr round 2 (radius: 25)
[01:58:31 -217910.101763] FAST spr round 3 (radius: 25)
[01:59:25 -217868.710017] FAST spr round 4 (radius: 25)
[02:00:17 -217852.473613] FAST spr round 5 (radius: 25)
[02:01:04 -217848.770562] FAST spr round 6 (radius: 25)
[02:01:50 -217848.770456] Model parameter optimization (eps = 1.000000)
[02:02:02 -217842.316131] SLOW spr round 1 (radius: 5)
[02:03:06 -217780.678430] SLOW spr round 2 (radius: 5)
[02:04:09 -217763.078890] SLOW spr round 3 (radius: 5)
[02:05:10 -217753.563059] SLOW spr round 4 (radius: 5)
[02:06:14 -217736.558308] SLOW spr round 5 (radius: 5)
[02:07:13 -217736.328462] SLOW spr round 6 (radius: 5)
[02:08:13 -217736.327263] SLOW spr round 7 (radius: 10)
[02:09:16 -217727.706145] SLOW spr round 8 (radius: 5)
[02:10:30 -217725.128089] SLOW spr round 9 (radius: 5)
[02:11:36 -217725.127879] SLOW spr round 10 (radius: 10)
[02:12:40 -217725.127823] SLOW spr round 11 (radius: 15)
[02:14:14 -217725.127738] SLOW spr round 12 (radius: 20)
[02:16:28 -217725.127687] SLOW spr round 13 (radius: 25)
[02:19:09 -217725.127636] Model parameter optimization (eps = 0.100000)

[02:19:16] ML tree search #5, logLikelihood: -217724.496363

[02:19:16 -648210.660344] Initial branch length optimization
[02:19:18 -545829.539184] Model parameter optimization (eps = 10.000000)
[02:19:34 -543437.408618] AUTODETECT spr round 1 (radius: 5)
[02:20:25 -396920.965676] AUTODETECT spr round 2 (radius: 10)
[02:21:21 -316940.718071] AUTODETECT spr round 3 (radius: 15)
[02:22:22 -272110.641706] AUTODETECT spr round 4 (radius: 20)
[02:23:39 -249401.687955] AUTODETECT spr round 5 (radius: 25)
[02:24:58 -243653.822245] SPR radius for FAST iterations: 25 (autodetect)
[02:24:58 -243653.822245] Model parameter optimization (eps = 3.000000)
[02:25:11 -243292.410734] FAST spr round 1 (radius: 25)
[02:26:22 -218577.644379] FAST spr round 2 (radius: 25)
[02:27:20 -217841.531953] FAST spr round 3 (radius: 25)
[02:28:11 -217758.990886] FAST spr round 4 (radius: 25)
[02:28:56 -217755.383050] FAST spr round 5 (radius: 25)
[02:29:40 -217755.382875] Model parameter optimization (eps = 1.000000)
[02:29:45 -217754.711035] SLOW spr round 1 (radius: 5)
[02:30:50 -217716.504673] SLOW spr round 2 (radius: 5)
[02:31:50 -217712.713626] SLOW spr round 3 (radius: 5)
[02:32:48 -217712.713511] SLOW spr round 4 (radius: 10)
[02:33:48 -217712.713401] SLOW spr round 5 (radius: 15)
[02:35:18 -217712.713292] SLOW spr round 6 (radius: 20)
[02:37:20 -217712.713183] SLOW spr round 7 (radius: 25)
[02:39:40 -217712.713073] Model parameter optimization (eps = 0.100000)

[02:39:46] ML tree search #6, logLikelihood: -217712.601981

[02:39:46 -650619.870401] Initial branch length optimization
[02:39:48 -547860.918724] Model parameter optimization (eps = 10.000000)
[02:40:03 -545363.943672] AUTODETECT spr round 1 (radius: 5)
[02:40:54 -404640.328573] AUTODETECT spr round 2 (radius: 10)
[02:41:51 -302412.363819] AUTODETECT spr round 3 (radius: 15)
[02:42:53 -258512.200233] AUTODETECT spr round 4 (radius: 20)
[02:44:17 -243172.886862] AUTODETECT spr round 5 (radius: 25)
[02:45:35 -241875.499123] SPR radius for FAST iterations: 25 (autodetect)
[02:45:35 -241875.499123] Model parameter optimization (eps = 3.000000)
[02:45:40 -241872.021556] FAST spr round 1 (radius: 25)
[02:46:52 -218969.849972] FAST spr round 2 (radius: 25)
[02:47:55 -218063.563967] FAST spr round 3 (radius: 25)
[02:48:45 -218029.135134] FAST spr round 4 (radius: 25)
[02:49:33 -218020.419165] FAST spr round 5 (radius: 25)
[02:50:19 -218017.879636] FAST spr round 6 (radius: 25)
[02:51:05 -218013.235923] FAST spr round 7 (radius: 25)
[02:51:51 -218010.415815] FAST spr round 8 (radius: 25)
[02:52:35 -218010.415404] Model parameter optimization (eps = 1.000000)
[02:52:45 -217826.301991] SLOW spr round 1 (radius: 5)
[02:53:50 -217768.495647] SLOW spr round 2 (radius: 5)
[02:54:54 -217738.827756] SLOW spr round 3 (radius: 5)
[02:55:56 -217731.771681] SLOW spr round 4 (radius: 5)
[02:56:55 -217730.055076] SLOW spr round 5 (radius: 5)
[02:57:53 -217730.054887] SLOW spr round 6 (radius: 10)
[02:58:54 -217717.821748] SLOW spr round 7 (radius: 5)
[03:00:08 -217713.609014] SLOW spr round 8 (radius: 5)
[03:01:13 -217711.763420] SLOW spr round 9 (radius: 5)
[03:02:14 -217711.763359] SLOW spr round 10 (radius: 10)
[03:03:15 -217711.763339] SLOW spr round 11 (radius: 15)
[03:04:50 -217710.271737] SLOW spr round 12 (radius: 5)
[03:06:05 -217710.271721] SLOW spr round 13 (radius: 10)
[03:07:16 -217710.271705] SLOW spr round 14 (radius: 15)
[03:08:46 -217710.271689] SLOW spr round 15 (radius: 20)
[03:10:57 -217710.271674] SLOW spr round 16 (radius: 25)
[03:13:38 -217710.271658] Model parameter optimization (eps = 0.100000)

[03:13:54] ML tree search #7, logLikelihood: -217708.041398

[03:13:54 -649999.992065] Initial branch length optimization
[03:13:56 -545277.972316] Model parameter optimization (eps = 10.000000)
[03:14:16 -542770.963872] AUTODETECT spr round 1 (radius: 5)
[03:15:09 -404537.328373] AUTODETECT spr round 2 (radius: 10)
[03:16:06 -316652.183733] AUTODETECT spr round 3 (radius: 15)
[03:17:09 -266499.041205] AUTODETECT spr round 4 (radius: 20)
[03:18:21 -244781.028065] AUTODETECT spr round 5 (radius: 25)
[03:19:44 -244388.704793] SPR radius for FAST iterations: 25 (autodetect)
[03:19:44 -244388.704793] Model parameter optimization (eps = 3.000000)
[03:19:57 -244024.218353] FAST spr round 1 (radius: 25)
[03:21:11 -218984.552662] FAST spr round 2 (radius: 25)
[03:22:11 -217929.239632] FAST spr round 3 (radius: 25)
[03:23:07 -217838.091765] FAST spr round 4 (radius: 25)
[03:23:56 -217814.090768] FAST spr round 5 (radius: 25)
[03:24:44 -217793.961129] FAST spr round 6 (radius: 25)
[03:25:29 -217786.858643] FAST spr round 7 (radius: 25)
[03:26:13 -217786.858333] Model parameter optimization (eps = 1.000000)
[03:26:23 -217778.347824] SLOW spr round 1 (radius: 5)
[03:27:28 -217718.047291] SLOW spr round 2 (radius: 5)
[03:28:28 -217714.099491] SLOW spr round 3 (radius: 5)
[03:29:27 -217713.771218] SLOW spr round 4 (radius: 5)
[03:30:25 -217713.771102] SLOW spr round 5 (radius: 10)
[03:31:26 -217710.302715] SLOW spr round 6 (radius: 5)
[03:32:37 -217710.302364] SLOW spr round 7 (radius: 10)
[03:33:44 -217710.302248] SLOW spr round 8 (radius: 15)
[03:35:15 -217710.302141] SLOW spr round 9 (radius: 20)
[03:37:25 -217710.302034] SLOW spr round 10 (radius: 25)
[03:39:57 -217710.301927] Model parameter optimization (eps = 0.100000)

[03:40:03] ML tree search #8, logLikelihood: -217710.182270

[03:40:03 -650658.174996] Initial branch length optimization
[03:40:05 -543054.491973] Model parameter optimization (eps = 10.000000)
[03:40:20 -540653.641551] AUTODETECT spr round 1 (radius: 5)
[03:41:12 -392074.528304] AUTODETECT spr round 2 (radius: 10)
[03:42:09 -294445.887310] AUTODETECT spr round 3 (radius: 15)
[03:43:09 -257889.084055] AUTODETECT spr round 4 (radius: 20)
[03:44:20 -249008.506556] AUTODETECT spr round 5 (radius: 25)
[03:45:41 -244056.912939] SPR radius for FAST iterations: 25 (autodetect)
[03:45:41 -244056.912939] Model parameter optimization (eps = 3.000000)
[03:45:44 -244054.322549] FAST spr round 1 (radius: 25)
[03:46:59 -218994.869338] FAST spr round 2 (radius: 25)
[03:47:59 -218174.038694] FAST spr round 3 (radius: 25)
[03:48:54 -218123.546488] FAST spr round 4 (radius: 25)
[03:49:41 -218116.503141] FAST spr round 5 (radius: 25)
[03:50:28 -218103.156563] FAST spr round 6 (radius: 25)
[03:51:14 -218097.866440] FAST spr round 7 (radius: 25)
[03:52:00 -218091.315718] FAST spr round 8 (radius: 25)
[03:52:44 -218091.315538] Model parameter optimization (eps = 1.000000)
[03:52:54 -217824.498413] SLOW spr round 1 (radius: 5)
[03:54:00 -217738.748986] SLOW spr round 2 (radius: 5)
[03:55:01 -217721.160477] SLOW spr round 3 (radius: 5)
[03:56:01 -217714.046705] SLOW spr round 4 (radius: 5)
[03:57:00 -217713.492846] SLOW spr round 5 (radius: 5)
[03:57:58 -217713.492770] SLOW spr round 6 (radius: 10)
[03:58:57 -217713.492715] SLOW spr round 7 (radius: 15)
[04:00:34 -217712.831847] SLOW spr round 8 (radius: 5)
[04:01:49 -217711.237012] SLOW spr round 9 (radius: 5)
[04:02:54 -217710.523703] SLOW spr round 10 (radius: 5)
[04:03:55 -217710.523189] SLOW spr round 11 (radius: 10)
[04:04:55 -217710.523128] SLOW spr round 12 (radius: 15)
[04:06:27 -217710.523072] SLOW spr round 13 (radius: 20)
[04:08:37 -217710.523016] SLOW spr round 14 (radius: 25)
[04:11:13 -217710.522960] Model parameter optimization (eps = 0.100000)

[04:11:17] ML tree search #9, logLikelihood: -217710.470746

[04:11:17 -647016.028973] Initial branch length optimization
[04:11:18 -542495.358128] Model parameter optimization (eps = 10.000000)
[04:11:33 -540053.282258] AUTODETECT spr round 1 (radius: 5)
[04:12:22 -395902.904275] AUTODETECT spr round 2 (radius: 10)
[04:13:17 -315899.996928] AUTODETECT spr round 3 (radius: 15)
[04:14:17 -268538.869946] AUTODETECT spr round 4 (radius: 20)
[04:15:23 -247604.494991] AUTODETECT spr round 5 (radius: 25)
[04:16:45 -247141.600288] SPR radius for FAST iterations: 25 (autodetect)
[04:16:45 -247141.600288] Model parameter optimization (eps = 3.000000)
[04:16:58 -246868.315550] FAST spr round 1 (radius: 25)
[04:18:09 -218643.571441] FAST spr round 2 (radius: 25)
[04:19:06 -217890.234160] FAST spr round 3 (radius: 25)
[04:19:57 -217837.038208] FAST spr round 4 (radius: 25)
[04:20:42 -217824.292344] FAST spr round 5 (radius: 25)
[04:21:19 -217824.291911] Model parameter optimization (eps = 1.000000)
[04:21:27 -217804.872961] SLOW spr round 1 (radius: 5)
[04:22:23 -217736.359055] SLOW spr round 2 (radius: 5)
[04:23:14 -217728.177727] SLOW spr round 3 (radius: 5)
[04:24:04 -217726.943613] SLOW spr round 4 (radius: 5)
[04:24:52 -217726.943251] SLOW spr round 5 (radius: 10)
[04:25:43 -217726.174286] SLOW spr round 6 (radius: 5)
[04:26:43 -217722.839118] SLOW spr round 7 (radius: 5)
[04:27:37 -217722.797221] SLOW spr round 8 (radius: 10)
[04:28:29 -217716.320332] SLOW spr round 9 (radius: 5)
[04:29:31 -217713.284769] SLOW spr round 10 (radius: 5)
[04:30:24 -217713.120266] SLOW spr round 11 (radius: 5)
[04:31:15 -217711.726415] SLOW spr round 12 (radius: 5)
[04:32:04 -217711.726294] SLOW spr round 13 (radius: 10)
[04:32:55 -217711.725544] SLOW spr round 14 (radius: 15)
[04:34:10 -217711.725423] SLOW spr round 15 (radius: 20)
[04:35:50 -217711.725302] SLOW spr round 16 (radius: 25)
[04:37:47 -217711.725180] Model parameter optimization (eps = 0.100000)

[04:37:52] ML tree search #10, logLikelihood: -217711.350089

[04:37:52 -654292.522891] Initial branch length optimization
[04:37:54 -549054.158982] Model parameter optimization (eps = 10.000000)
[04:38:12 -546485.761383] AUTODETECT spr round 1 (radius: 5)
[04:38:54 -389004.937134] AUTODETECT spr round 2 (radius: 10)
[04:39:40 -302958.872060] AUTODETECT spr round 3 (radius: 15)
[04:40:34 -255684.891047] AUTODETECT spr round 4 (radius: 20)
[04:41:33 -240744.266075] AUTODETECT spr round 5 (radius: 25)
[04:42:54 -239084.054546] SPR radius for FAST iterations: 25 (autodetect)
[04:42:54 -239084.054546] Model parameter optimization (eps = 3.000000)
[04:43:05 -238881.801584] FAST spr round 1 (radius: 25)
[04:44:03 -218503.615232] FAST spr round 2 (radius: 25)
[04:44:52 -217822.623977] FAST spr round 3 (radius: 25)
[04:45:34 -217795.719594] FAST spr round 4 (radius: 25)
[04:46:12 -217793.196740] FAST spr round 5 (radius: 25)
[04:46:49 -217793.196591] Model parameter optimization (eps = 1.000000)
[04:46:55 -217791.241106] SLOW spr round 1 (radius: 5)
[04:47:49 -217744.562697] SLOW spr round 2 (radius: 5)
[04:48:39 -217743.734823] SLOW spr round 3 (radius: 5)
[04:49:28 -217741.517924] SLOW spr round 4 (radius: 5)
[04:50:17 -217741.516855] SLOW spr round 5 (radius: 10)
[04:51:08 -217738.056913] SLOW spr round 6 (radius: 5)
[04:52:09 -217732.190977] SLOW spr round 7 (radius: 5)
[04:53:02 -217732.190507] SLOW spr round 8 (radius: 10)
[04:53:54 -217732.190378] SLOW spr round 9 (radius: 15)
[04:55:10 -217730.531923] SLOW spr round 10 (radius: 5)
[04:56:12 -217730.531308] SLOW spr round 11 (radius: 10)
[04:57:11 -217730.531259] SLOW spr round 12 (radius: 15)
[04:58:24 -217730.531220] SLOW spr round 13 (radius: 20)
[05:00:10 -217730.531181] SLOW spr round 14 (radius: 25)
[05:02:16 -217730.531142] Model parameter optimization (eps = 0.100000)

[05:02:22] ML tree search #11, logLikelihood: -217729.926219

[05:02:22 -656537.961807] Initial branch length optimization
[05:02:24 -554452.027998] Model parameter optimization (eps = 10.000000)
[05:02:38 -551896.016258] AUTODETECT spr round 1 (radius: 5)
[05:03:21 -393988.704426] AUTODETECT spr round 2 (radius: 10)
[05:04:08 -309246.156909] AUTODETECT spr round 3 (radius: 15)
[05:05:02 -253773.038874] AUTODETECT spr round 4 (radius: 20)
[05:06:09 -241971.369236] AUTODETECT spr round 5 (radius: 25)
[05:07:17 -240014.747381] SPR radius for FAST iterations: 25 (autodetect)
[05:07:17 -240014.747381] Model parameter optimization (eps = 3.000000)
[05:07:28 -239747.947345] FAST spr round 1 (radius: 25)
[05:08:27 -218619.254290] FAST spr round 2 (radius: 25)
[05:09:15 -217842.683670] FAST spr round 3 (radius: 25)
[05:09:59 -217777.751114] FAST spr round 4 (radius: 25)
[05:10:38 -217766.992130] FAST spr round 5 (radius: 25)
[05:11:15 -217764.044840] FAST spr round 6 (radius: 25)
[05:11:52 -217764.042968] Model parameter optimization (eps = 1.000000)
[05:12:00 -217761.948300] SLOW spr round 1 (radius: 5)
[05:12:54 -217708.349814] SLOW spr round 2 (radius: 5)
[05:13:45 -217702.180512] SLOW spr round 3 (radius: 5)
[05:14:35 -217699.148232] SLOW spr round 4 (radius: 5)
[05:15:24 -217694.810420] SLOW spr round 5 (radius: 5)
[05:16:12 -217694.810240] SLOW spr round 6 (radius: 10)
[05:17:03 -217694.810063] SLOW spr round 7 (radius: 15)
[05:18:19 -217694.809946] SLOW spr round 8 (radius: 20)
[05:20:04 -217694.809829] SLOW spr round 9 (radius: 25)
[05:22:09 -217694.809712] Model parameter optimization (eps = 0.100000)

[05:22:14] ML tree search #12, logLikelihood: -217694.676399

[05:22:14 -647998.833323] Initial branch length optimization
[05:22:15 -541352.856832] Model parameter optimization (eps = 10.000000)
[05:22:32 -538871.464611] AUTODETECT spr round 1 (radius: 5)
[05:23:15 -400491.523846] AUTODETECT spr round 2 (radius: 10)
[05:24:03 -322682.501413] AUTODETECT spr round 3 (radius: 15)
[05:24:58 -265664.855954] AUTODETECT spr round 4 (radius: 20)
[05:26:04 -243571.450085] AUTODETECT spr round 5 (radius: 25)
[05:27:09 -243074.412496] SPR radius for FAST iterations: 25 (autodetect)
[05:27:09 -243074.412496] Model parameter optimization (eps = 3.000000)
[05:27:12 -243071.873448] FAST spr round 1 (radius: 25)
[05:28:13 -219435.645843] FAST spr round 2 (radius: 25)
[05:29:05 -218127.632216] FAST spr round 3 (radius: 25)
[05:29:52 -218046.671504] FAST spr round 4 (radius: 25)
[05:30:35 -218030.584023] FAST spr round 5 (radius: 25)
[05:31:14 -218030.583117] Model parameter optimization (eps = 1.000000)
[05:31:23 -217790.364958] SLOW spr round 1 (radius: 5)
[05:32:23 -217733.579421] SLOW spr round 2 (radius: 5)
[05:33:18 -217722.838936] SLOW spr round 3 (radius: 5)
[05:34:11 -217721.465208] SLOW spr round 4 (radius: 5)
[05:35:03 -217721.465079] SLOW spr round 5 (radius: 10)
[05:36:00 -217719.827027] SLOW spr round 6 (radius: 5)
[05:37:09 -217718.949635] SLOW spr round 7 (radius: 5)
[05:38:10 -217718.948398] SLOW spr round 8 (radius: 10)
[05:39:09 -217717.603856] SLOW spr round 9 (radius: 5)
[05:40:15 -217717.603744] SLOW spr round 10 (radius: 10)
[05:41:17 -217717.436010] SLOW spr round 11 (radius: 5)
[05:42:20 -217716.125128] SLOW spr round 12 (radius: 5)
[05:43:13 -217716.125015] SLOW spr round 13 (radius: 10)
[05:44:05 -217716.124902] SLOW spr round 14 (radius: 15)
[05:45:21 -217716.124788] SLOW spr round 15 (radius: 20)
[05:47:07 -217714.033327] SLOW spr round 16 (radius: 5)
[05:48:11 -217714.032813] SLOW spr round 17 (radius: 10)
[05:49:13 -217713.298732] SLOW spr round 18 (radius: 5)
[05:50:12 -217713.156135] SLOW spr round 19 (radius: 5)
[05:51:05 -217713.155945] SLOW spr round 20 (radius: 10)
[05:51:58 -217713.155829] SLOW spr round 21 (radius: 15)
[05:53:21 -217713.155748] SLOW spr round 22 (radius: 20)
[05:55:24 -217713.155678] SLOW spr round 23 (radius: 25)
[05:57:57 -217713.155606] Model parameter optimization (eps = 0.100000)

[05:58:00] ML tree search #13, logLikelihood: -217713.068304

[05:58:00 -643240.086043] Initial branch length optimization
[05:58:02 -541959.912657] Model parameter optimization (eps = 10.000000)
[05:58:18 -539475.442305] AUTODETECT spr round 1 (radius: 5)
[05:59:09 -394210.155061] AUTODETECT spr round 2 (radius: 10)
[06:00:04 -305940.316672] AUTODETECT spr round 3 (radius: 15)
[06:01:07 -258791.042380] AUTODETECT spr round 4 (radius: 20)
[06:02:16 -242775.499415] AUTODETECT spr round 5 (radius: 25)
[06:03:46 -240250.554320] SPR radius for FAST iterations: 25 (autodetect)
[06:03:46 -240250.554320] Model parameter optimization (eps = 3.000000)
[06:03:58 -239986.991259] FAST spr round 1 (radius: 25)
[06:05:05 -218536.060211] FAST spr round 2 (radius: 25)
[06:06:00 -217880.271208] FAST spr round 3 (radius: 25)
[06:06:45 -217832.817627] FAST spr round 4 (radius: 25)
[06:07:27 -217796.008029] FAST spr round 5 (radius: 25)
[06:08:04 -217793.518733] FAST spr round 6 (radius: 25)
[06:08:42 -217792.858661] FAST spr round 7 (radius: 25)
[06:09:19 -217792.858119] Model parameter optimization (eps = 1.000000)
[06:09:30 -217788.660046] SLOW spr round 1 (radius: 5)
[06:10:25 -217731.431026] SLOW spr round 2 (radius: 5)
[06:11:18 -217721.743006] SLOW spr round 3 (radius: 5)
[06:12:10 -217711.195721] SLOW spr round 4 (radius: 5)
[06:12:59 -217711.195707] SLOW spr round 5 (radius: 10)
[06:13:50 -217708.037457] SLOW spr round 6 (radius: 5)
[06:14:50 -217708.037317] SLOW spr round 7 (radius: 10)
[06:15:47 -217708.037307] SLOW spr round 8 (radius: 15)
[06:16:59 -217708.037300] SLOW spr round 9 (radius: 20)
[06:18:42 -217708.037292] SLOW spr round 10 (radius: 25)
[06:20:46 -217708.037284] Model parameter optimization (eps = 0.100000)

[06:20:51] ML tree search #14, logLikelihood: -217707.847303

[06:20:51 -648971.327777] Initial branch length optimization
[06:20:53 -547721.798398] Model parameter optimization (eps = 10.000000)
[06:21:10 -545220.907454] AUTODETECT spr round 1 (radius: 5)
[06:21:53 -396243.807589] AUTODETECT spr round 2 (radius: 10)
[06:22:40 -310589.182221] AUTODETECT spr round 3 (radius: 15)
[06:23:34 -260296.595628] AUTODETECT spr round 4 (radius: 20)
[06:24:35 -244564.001250] AUTODETECT spr round 5 (radius: 25)
[06:25:45 -242500.749861] SPR radius for FAST iterations: 25 (autodetect)
[06:25:45 -242500.749861] Model parameter optimization (eps = 3.000000)
[06:25:57 -242230.777019] FAST spr round 1 (radius: 25)
[06:26:58 -218618.592139] FAST spr round 2 (radius: 25)
[06:27:46 -217871.251233] FAST spr round 3 (radius: 25)
[06:28:31 -217787.081488] FAST spr round 4 (radius: 25)
[06:29:11 -217771.584649] FAST spr round 5 (radius: 25)
[06:29:50 -217769.330605] FAST spr round 6 (radius: 25)
[06:30:27 -217769.305622] Model parameter optimization (eps = 1.000000)
[06:30:32 -217766.780433] SLOW spr round 1 (radius: 5)
[06:31:27 -217698.875975] SLOW spr round 2 (radius: 5)
[06:32:18 -217694.480726] SLOW spr round 3 (radius: 5)
[06:33:08 -217693.270929] SLOW spr round 4 (radius: 5)
[06:33:56 -217693.270791] SLOW spr round 5 (radius: 10)
[06:34:47 -217693.269971] SLOW spr round 6 (radius: 15)
[06:36:10 -217692.359163] SLOW spr round 7 (radius: 5)
[06:37:13 -217692.359039] SLOW spr round 8 (radius: 10)
[06:38:14 -217692.358934] SLOW spr round 9 (radius: 15)
[06:39:32 -217692.358829] SLOW spr round 10 (radius: 20)
[06:41:28 -217692.358724] SLOW spr round 11 (radius: 25)
[06:43:45 -217692.358619] Model parameter optimization (eps = 0.100000)

[06:43:52] ML tree search #15, logLikelihood: -217689.096870

[06:43:52 -647805.144115] Initial branch length optimization
[06:43:54 -543846.093578] Model parameter optimization (eps = 10.000000)
[06:44:06 -541514.005977] AUTODETECT spr round 1 (radius: 5)
[06:44:49 -394593.440424] AUTODETECT spr round 2 (radius: 10)
[06:45:35 -313454.373302] AUTODETECT spr round 3 (radius: 15)
[06:46:27 -281256.926459] AUTODETECT spr round 4 (radius: 20)
[06:47:28 -250271.550934] AUTODETECT spr round 5 (radius: 25)
[06:48:45 -247190.687020] SPR radius for FAST iterations: 25 (autodetect)
[06:48:45 -247190.687020] Model parameter optimization (eps = 3.000000)
[06:48:58 -246851.721430] FAST spr round 1 (radius: 25)
[06:49:58 -218754.417890] FAST spr round 2 (radius: 25)
[06:50:47 -217878.137598] FAST spr round 3 (radius: 25)
[06:51:32 -217785.607399] FAST spr round 4 (radius: 25)
[06:52:11 -217774.895676] FAST spr round 5 (radius: 25)
[06:52:48 -217774.316273] FAST spr round 6 (radius: 25)
[06:53:24 -217774.316144] Model parameter optimization (eps = 1.000000)
[06:53:30 -217772.448881] SLOW spr round 1 (radius: 5)
[06:54:24 -217721.816442] SLOW spr round 2 (radius: 5)
[06:55:14 -217718.048824] SLOW spr round 3 (radius: 5)
[06:56:03 -217717.616540] SLOW spr round 4 (radius: 5)
[06:56:52 -217717.616337] SLOW spr round 5 (radius: 10)
[06:57:44 -217717.616225] SLOW spr round 6 (radius: 15)
[06:59:04 -217717.616116] SLOW spr round 7 (radius: 20)
[07:00:57 -217717.616008] SLOW spr round 8 (radius: 25)
[07:03:16 -217717.615900] Model parameter optimization (eps = 0.100000)

[07:03:20] ML tree search #16, logLikelihood: -217717.499902

[07:03:20 -652444.313298] Initial branch length optimization
[07:03:22 -550365.542573] Model parameter optimization (eps = 10.000000)
[07:03:35 -547876.350711] AUTODETECT spr round 1 (radius: 5)
[07:04:18 -399630.699224] AUTODETECT spr round 2 (radius: 10)
[07:05:05 -313411.089065] AUTODETECT spr round 3 (radius: 15)
[07:06:00 -271502.101492] AUTODETECT spr round 4 (radius: 20)
[07:07:02 -254403.048528] AUTODETECT spr round 5 (radius: 25)
[07:08:07 -247445.712229] SPR radius for FAST iterations: 25 (autodetect)
[07:08:07 -247445.712229] Model parameter optimization (eps = 3.000000)
[07:08:10 -247442.929789] FAST spr round 1 (radius: 25)
[07:09:10 -218892.642428] FAST spr round 2 (radius: 25)
[07:10:00 -218130.369599] FAST spr round 3 (radius: 25)
[07:10:43 -218081.869807] FAST spr round 4 (radius: 25)
[07:11:22 -218068.630755] FAST spr round 5 (radius: 25)
[07:12:00 -218063.365684] FAST spr round 6 (radius: 25)
[07:12:37 -218063.365371] Model parameter optimization (eps = 1.000000)
[07:12:40 -218062.993218] SLOW spr round 1 (radius: 5)
[07:13:34 -218011.357075] SLOW spr round 2 (radius: 5)
[07:14:26 -218005.287866] SLOW spr round 3 (radius: 5)
[07:15:17 -218002.948905] SLOW spr round 4 (radius: 5)
[07:16:06 -218001.774893] SLOW spr round 5 (radius: 5)
[07:16:55 -218001.774745] SLOW spr round 6 (radius: 10)
[07:17:47 -218000.251545] SLOW spr round 7 (radius: 5)
[07:18:48 -217994.343686] SLOW spr round 8 (radius: 5)
[07:19:42 -217994.005817] SLOW spr round 9 (radius: 5)
[07:20:33 -217994.005696] SLOW spr round 10 (radius: 10)
[07:21:26 -217994.005575] SLOW spr round 11 (radius: 15)
[07:22:47 -217994.005454] SLOW spr round 12 (radius: 20)
[07:24:44 -217994.005332] SLOW spr round 13 (radius: 25)
[07:27:06 -217994.005210] Model parameter optimization (eps = 0.100000)

[07:27:08] ML tree search #17, logLikelihood: -217993.996951

[07:27:08 -648651.783239] Initial branch length optimization
[07:27:10 -543710.476561] Model parameter optimization (eps = 10.000000)
[07:27:26 -541477.417648] AUTODETECT spr round 1 (radius: 5)
[07:28:08 -396508.761030] AUTODETECT spr round 2 (radius: 10)
[07:28:56 -316226.615294] AUTODETECT spr round 3 (radius: 15)
[07:29:50 -268295.540548] AUTODETECT spr round 4 (radius: 20)
[07:30:52 -245881.009850] AUTODETECT spr round 5 (radius: 25)
[07:31:58 -244197.069743] SPR radius for FAST iterations: 25 (autodetect)
[07:31:58 -244197.069743] Model parameter optimization (eps = 3.000000)
[07:32:08 -243892.908462] FAST spr round 1 (radius: 25)
[07:33:04 -218910.215139] FAST spr round 2 (radius: 25)
[07:33:50 -218072.917394] FAST spr round 3 (radius: 25)
[07:34:34 -217819.187517] FAST spr round 4 (radius: 25)
[07:35:13 -217795.655284] FAST spr round 5 (radius: 25)
[07:35:50 -217795.642067] Model parameter optimization (eps = 1.000000)
[07:35:57 -217789.526917] SLOW spr round 1 (radius: 5)
[07:36:51 -217729.803204] SLOW spr round 2 (radius: 5)
[07:37:43 -217721.536011] SLOW spr round 3 (radius: 5)
[07:38:33 -217720.043491] SLOW spr round 4 (radius: 5)
[07:39:22 -217720.043402] SLOW spr round 5 (radius: 10)
[07:40:15 -217719.901290] SLOW spr round 6 (radius: 5)
[07:41:15 -217719.038322] SLOW spr round 7 (radius: 5)
[07:42:09 -217718.568866] SLOW spr round 8 (radius: 5)
[07:43:00 -217718.568804] SLOW spr round 9 (radius: 10)
[07:43:53 -217718.568755] SLOW spr round 10 (radius: 15)
[07:45:12 -217718.568706] SLOW spr round 11 (radius: 20)
[07:47:02 -217718.568657] SLOW spr round 12 (radius: 25)
[07:49:12 -217718.568608] Model parameter optimization (eps = 0.100000)

[07:49:15] ML tree search #18, logLikelihood: -217718.498766

[07:49:15 -647938.052404] Initial branch length optimization
[07:49:17 -542885.527047] Model parameter optimization (eps = 10.000000)
[07:49:33 -540277.740603] AUTODETECT spr round 1 (radius: 5)
[07:50:16 -386834.303742] AUTODETECT spr round 2 (radius: 10)
[07:51:03 -300512.815730] AUTODETECT spr round 3 (radius: 15)
[07:51:55 -252081.717851] AUTODETECT spr round 4 (radius: 20)
[07:53:09 -240483.916242] AUTODETECT spr round 5 (radius: 25)
[07:54:29 -239725.286414] SPR radius for FAST iterations: 25 (autodetect)
[07:54:29 -239725.286414] Model parameter optimization (eps = 3.000000)
[07:54:32 -239722.808479] FAST spr round 1 (radius: 25)
[07:55:32 -218852.579604] FAST spr round 2 (radius: 25)
[07:56:21 -218113.578554] FAST spr round 3 (radius: 25)
[07:57:05 -218046.944852] FAST spr round 4 (radius: 25)
[07:57:45 -218032.947417] FAST spr round 5 (radius: 25)
[07:58:23 -218025.057735] FAST spr round 6 (radius: 25)
[07:59:00 -218025.057441] Model parameter optimization (eps = 1.000000)
[07:59:09 -217792.198647] SLOW spr round 1 (radius: 5)
[08:00:04 -217734.023648] SLOW spr round 2 (radius: 5)
[08:00:56 -217726.567474] SLOW spr round 3 (radius: 5)
[08:01:47 -217723.056053] SLOW spr round 4 (radius: 5)
[08:02:36 -217722.454347] SLOW spr round 5 (radius: 5)
[08:03:25 -217722.454304] SLOW spr round 6 (radius: 10)
[08:04:17 -217719.588043] SLOW spr round 7 (radius: 5)
[08:05:18 -217719.075773] SLOW spr round 8 (radius: 5)
[08:06:16 -217710.676700] SLOW spr round 9 (radius: 5)
[08:07:09 -217704.457577] SLOW spr round 10 (radius: 5)
[08:07:59 -217704.457406] SLOW spr round 11 (radius: 10)
[08:08:51 -217704.457385] SLOW spr round 12 (radius: 15)
[08:10:11 -217704.457368] SLOW spr round 13 (radius: 20)
[08:12:03 -217704.457352] SLOW spr round 14 (radius: 25)
[08:14:18 -217704.457335] Model parameter optimization (eps = 0.100000)

[08:14:23] ML tree search #19, logLikelihood: -217704.147633

[08:14:23 -650320.468650] Initial branch length optimization
[08:14:25 -549181.779300] Model parameter optimization (eps = 10.000000)
[08:14:48 -546584.554260] AUTODETECT spr round 1 (radius: 5)
[08:15:31 -396730.918776] AUTODETECT spr round 2 (radius: 10)
[08:16:19 -298678.138139] AUTODETECT spr round 3 (radius: 15)
[08:17:10 -246406.278499] AUTODETECT spr round 4 (radius: 20)
[08:18:13 -240655.580387] AUTODETECT spr round 5 (radius: 25)
[08:19:27 -240204.195604] SPR radius for FAST iterations: 25 (autodetect)
[08:19:27 -240204.195604] Model parameter optimization (eps = 3.000000)
[08:19:37 -240017.625542] FAST spr round 1 (radius: 25)
[08:20:35 -218552.126591] FAST spr round 2 (radius: 25)
[08:21:23 -217816.561591] FAST spr round 3 (radius: 25)
[08:22:08 -217767.932128] FAST spr round 4 (radius: 25)
[08:22:46 -217763.576259] FAST spr round 5 (radius: 25)
[08:23:23 -217763.576146] Model parameter optimization (eps = 1.000000)
[08:23:30 -217758.247523] SLOW spr round 1 (radius: 5)
[08:24:25 -217714.609896] SLOW spr round 2 (radius: 5)
[08:25:16 -217707.159868] SLOW spr round 3 (radius: 5)
[08:26:05 -217707.158977] SLOW spr round 4 (radius: 10)
[08:26:56 -217707.158771] SLOW spr round 5 (radius: 15)
[08:28:17 -217707.158647] SLOW spr round 6 (radius: 20)
[08:30:11 -217707.158534] SLOW spr round 7 (radius: 25)
[08:32:28 -217707.158421] Model parameter optimization (eps = 0.100000)

[08:32:32] ML tree search #20, logLikelihood: -217707.109141


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.095763,0.278333) (0.221738,0.503470) (0.438394,0.860250) (0.244105,1.985123) 
   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: -217689.096870

AIC score: 438296.193739 / AICc score: 4698576.193739 / BIC score: 444248.816271
Free parameters (model + branch lengths): 1459

WARNING: Number of free parameters (K=1459) is larger than alignment size (n=437).
         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/Q6NSJ0/3_mltree/Q6NSJ0.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6NSJ0/3_mltree/Q6NSJ0.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6NSJ0/3_mltree/Q6NSJ0.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6NSJ0/3_mltree/Q6NSJ0.raxml.log

Analysis started: 04-Jul-2021 15:21:36 / finished: 04-Jul-2021 23:54:08

Elapsed time: 30752.327 seconds

Consumed energy: 2806.640 Wh (= 14 km in an electric car, or 70 km with an e-scooter!)