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 07-Jul-2021 13:59:29 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A0A075B6I7/2_msa/A0A075B6I7_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A0A075B6I7/3_mltree/A0A075B6I7 --seed 2 --threads 2 --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 (2 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A0A075B6I7/2_msa/A0A075B6I7_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 87 sites

WARNING: Sequences sp_P04210_LV1_CHICK_9031 and tr_R9PXM5_R9PXM5_CHICK_9031 are exactly identical!
WARNING: Sequences tr_G1Q4S4_G1Q4S4_MYOLU_59463 and tr_G1QAQ6_G1QAQ6_MYOLU_59463 are exactly identical!
WARNING: Sequences tr_A0A2I2ZTD5_A0A2I2ZTD5_GORGO_9595 and sp_A0A0A0MRZ9_LV552_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3RK08_G3RK08_GORGO_9595 and tr_A0A2I3S3B0_A0A2I3S3B0_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3RK08_G3RK08_GORGO_9595 and sp_P12018_VPREB_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3RK08_G3RK08_GORGO_9595 and tr_A0A2R9BNT9_A0A2R9BNT9_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G3SDJ0_G3SDJ0_GORGO_9595 and tr_H2P3S5_H2P3S5_PONAB_9601 are exactly identical!
WARNING: Sequences tr_G3SDJ0_G3SDJ0_GORGO_9595 and tr_H2QLC7_H2QLC7_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3SDJ0_G3SDJ0_GORGO_9595 and tr_G8F1D9_G8F1D9_MACMU_9544 are exactly identical!
WARNING: Sequences tr_G3SDJ0_G3SDJ0_GORGO_9595 and tr_G8F609_G8F609_MACFA_9541 are exactly identical!
WARNING: Sequences tr_G3SDJ0_G3SDJ0_GORGO_9595 and tr_A0A0D9RG94_A0A0D9RG94_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_G3SDJ0_G3SDJ0_GORGO_9595 and tr_A0A2K5M4Y2_A0A2K5M4Y2_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G3SDJ0_G3SDJ0_GORGO_9595 and tr_A0A2K6BRF2_A0A2K6BRF2_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G3SDJ0_G3SDJ0_GORGO_9595 and tr_A0A2K5Y552_A0A2K5Y552_MANLE_9568 are exactly identical!
WARNING: Sequences tr_G1SY45_G1SY45_RABIT_9986 and tr_G1TNQ1_G1TNQ1_RABIT_9986 are exactly identical!
WARNING: Sequences tr_J9P8P3_J9P8P3_CANLF_9615 and tr_J9PAD4_J9PAD4_CANLF_9615 are exactly identical!
WARNING: Sequences tr_A0A2I3RN78_A0A2I3RN78_PANTR_9598 and sp_P01717_LV325_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2I3SHS2_A0A2I3SHS2_PANTR_9598 and tr_A0A2R8ZYV0_A0A2R8ZYV0_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3T0N1_A0A2I3T0N1_PANTR_9598 and tr_A0A2R8ZDA9_A0A2R8ZDA9_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3T3A8_A0A2I3T3A8_PANTR_9598 and tr_A0A2R9BIU5_A0A2R9BIU5_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3TFJ4_A0A2I3TFJ4_PANTR_9598 and tr_A0A2R8ZHW3_A0A2R8ZHW3_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3TQF9_A0A2I3TQF9_PANTR_9598 and sp_A0A075B6H9_LV469_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2I3TQF9_A0A2I3TQF9_PANTR_9598 and tr_A0A2R8ZQY1_A0A2R8ZQY1_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3TUR2_A0A2I3TUR2_PANTR_9598 and tr_A0A2R8ZX92_A0A2R8ZX92_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H9H850_H9H850_MONDO_13616 and tr_H9H8H7_H9H8H7_MONDO_13616 are exactly identical!
WARNING: Sequences sp_A0A0B4J1Y8_LV949_HUMAN_9606 and tr_A0A2R9A2R6_A0A2R9A2R6_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A1D5Q0H3_A0A1D5Q0H3_MACMU_9544 and tr_G7PHD1_G7PHD1_MACFA_9541 are exactly identical!
WARNING: Sequences tr_A0A1D5QR47_A0A1D5QR47_MACMU_9544 and tr_G8F2W8_G8F2W8_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F6SWU6_F6SWU6_MACMU_9544 and tr_G8F5L7_G8F5L7_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F6SWU6_F6SWU6_MACMU_9544 and tr_A0A2K5KV05_A0A2K5KV05_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F6SWU6_F6SWU6_MACMU_9544 and tr_A0A2K6CX52_A0A2K6CX52_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7DFB4_F7DFB4_MACMU_9544 and tr_G7PHC5_G7PHC5_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7DFB4_F7DFB4_MACMU_9544 and tr_A0A096MSV4_A0A096MSV4_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F7F215_F7F215_MACMU_9544 and tr_A0A2K6ARQ7_A0A2K6ARQ7_MACNE_9545 are exactly identical!
WARNING: Sequences tr_H9H2Y9_H9H2Y9_MACMU_9544 and tr_A0A2K6AZH8_A0A2K6AZH8_MACNE_9545 are exactly identical!
WARNING: Sequences tr_H9H4S2_H9H4S2_MACMU_9544 and tr_H9H5B4_H9H5B4_MACMU_9544 are exactly identical!
WARNING: Sequences tr_H9H4U1_H9H4U1_MACMU_9544 and tr_A0A2K6CQN5_A0A2K6CQN5_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A1B8Y157_A0A1B8Y157_XENTR_8364 and tr_F6RXD1_F6RXD1_XENTR_8364 are exactly identical!
WARNING: Sequences tr_A0A2R8MJT0_A0A2R8MJT0_CALJA_9483 and tr_A0A2R8P774_A0A2R8P774_CALJA_9483 are exactly identical!
WARNING: Sequences tr_A0A2R8MVT6_A0A2R8MVT6_CALJA_9483 and tr_H9KXP9_H9KXP9_CALJA_9483 are exactly identical!
WARNING: Sequences tr_G7PHB9_G7PHB9_MACFA_9541 and tr_A0A096NSB1_A0A096NSB1_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_G7PHB9_G7PHB9_MACFA_9541 and tr_A0A2K5XPA3_A0A2K5XPA3_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A096NRF9_A0A096NRF9_PAPAN_9555 and tr_A0A2K6ADQ1_A0A2K6ADQ1_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2I3LLY4_A0A2I3LLY4_PAPAN_9555 and tr_A0A2K5NIZ8_A0A2K5NIZ8_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A2I3LLY4_A0A2I3LLY4_PAPAN_9555 and tr_A0A2K6A7I7_A0A2K6A7I7_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A0D9RN59_A0A0D9RN59_CHLSB_60711 and tr_A0A0D9RN85_A0A0D9RN85_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_A0A2K5KMJ7_A0A2K5KMJ7_CERAT_9531 and tr_A0A2K5XYB4_A0A2K5XYB4_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A384B0F9_A0A384B0F9_BALAS_310752 and tr_A0A384B9T2_A0A384B9T2_BALAS_310752 are exactly identical!
WARNING: Duplicate sequences found: 48

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/A0A075B6I7/3_mltree/A0A075B6I7.raxml.reduced.phy

Alignment comprises 1 partitions and 87 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 87 / 87
Gaps: 1.64 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A0A075B6I7/3_mltree/A0A075B6I7.raxml.rba

Parallelization scheme autoconfig: 2 worker(s) x 1 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 / 87 / 6960
[00:00:00] Data distribution: max. searches per worker: 10

Starting ML tree search with 20 distinct starting trees

[00:00:00 -134944.432184] Initial branch length optimization
[00:00:02 -118754.094616] Model parameter optimization (eps = 10.000000)
[00:00:37 -118399.860859] AUTODETECT spr round 1 (radius: 5)
[00:02:46 -84118.417305] AUTODETECT spr round 2 (radius: 10)
[00:05:06 -63024.728764] AUTODETECT spr round 3 (radius: 15)
[00:07:38 -54038.756163] AUTODETECT spr round 4 (radius: 20)
[00:10:37 -48796.129049] AUTODETECT spr round 5 (radius: 25)
[00:13:43 -48361.246123] SPR radius for FAST iterations: 25 (autodetect)
[00:13:43 -48361.246123] Model parameter optimization (eps = 3.000000)
[00:13:53 -48357.177426] FAST spr round 1 (radius: 25)
[00:16:25 -42903.424114] FAST spr round 2 (radius: 25)
[00:18:30 -42589.980356] FAST spr round 3 (radius: 25)
[00:20:25 -42552.217645] FAST spr round 4 (radius: 25)
[00:22:14 -42543.914426] FAST spr round 5 (radius: 25)
[00:23:59 -42542.751790] FAST spr round 6 (radius: 25)
[00:25:38 -42542.751761] Model parameter optimization (eps = 1.000000)
[00:25:58 -42351.709097] SLOW spr round 1 (radius: 5)
[00:28:08 -42321.429620] SLOW spr round 2 (radius: 5)
[00:30:12 -42316.658650] SLOW spr round 3 (radius: 5)
[00:32:15 -42316.488563] SLOW spr round 4 (radius: 5)
[00:34:12 -42316.487903] SLOW spr round 5 (radius: 10)
[00:36:14 -42306.661725] SLOW spr round 6 (radius: 5)
[00:38:39 -42303.187186] SLOW spr round 7 (radius: 5)
[00:40:48 -42303.186954] SLOW spr round 8 (radius: 10)
[00:42:49 -42301.942560] SLOW spr round 9 (radius: 5)
[00:45:11 -42299.195581] SLOW spr round 10 (radius: 5)
[00:47:21 -42299.040201] SLOW spr round 11 (radius: 5)
[00:49:22 -42299.040109] SLOW spr round 12 (radius: 10)
[00:51:23 -42299.040108] SLOW spr round 13 (radius: 15)
[00:54:14 -42297.677636] SLOW spr round 14 (radius: 5)
[00:56:40 -42297.677636] SLOW spr round 15 (radius: 10)
[00:58:50 -42296.895128] SLOW spr round 16 (radius: 5)
[01:01:09 -42296.895128] SLOW spr round 17 (radius: 10)
[01:03:13 -42296.403143] SLOW spr round 18 (radius: 5)
[01:05:29 -42296.077373] SLOW spr round 19 (radius: 5)
[01:07:20 -42296.077373] SLOW spr round 20 (radius: 10)
[01:08:52 -42295.682543] SLOW spr round 21 (radius: 5)
[01:10:43 -42295.682533] SLOW spr round 22 (radius: 10)
[01:12:21 -42294.970101] SLOW spr round 23 (radius: 5)
[01:14:12 -42292.183145] SLOW spr round 24 (radius: 5)
[01:15:52 -42291.581527] SLOW spr round 25 (radius: 5)
[01:17:29 -42291.581496] SLOW spr round 26 (radius: 10)
[01:17:36] [worker #1] ML tree search #2, logLikelihood: -42237.977375
[01:19:01 -42291.581496] SLOW spr round 27 (radius: 15)
[01:21:18 -42290.882919] SLOW spr round 28 (radius: 5)
[01:23:12 -42290.882879] SLOW spr round 29 (radius: 10)
[01:24:55 -42290.882879] SLOW spr round 30 (radius: 15)
[01:27:03 -42290.882879] SLOW spr round 31 (radius: 20)
[01:30:17 -42286.527218] SLOW spr round 32 (radius: 5)
[01:32:13 -42285.954028] SLOW spr round 33 (radius: 5)
[01:33:57 -42285.954019] SLOW spr round 34 (radius: 10)
[01:35:32 -42285.954018] SLOW spr round 35 (radius: 15)
[01:37:46 -42285.733654] SLOW spr round 36 (radius: 5)
[01:39:41 -42285.733630] SLOW spr round 37 (radius: 10)
[01:41:24 -42285.172466] SLOW spr round 38 (radius: 5)
[01:43:14 -42285.171162] SLOW spr round 39 (radius: 10)
[01:44:52 -42285.171134] SLOW spr round 40 (radius: 15)
[01:47:04 -42285.171133] SLOW spr round 41 (radius: 20)
[01:50:19 -42284.413668] SLOW spr round 42 (radius: 5)
[01:52:16 -42284.413587] SLOW spr round 43 (radius: 10)
[01:54:01 -42284.413586] SLOW spr round 44 (radius: 15)
[01:56:09 -42284.413586] SLOW spr round 45 (radius: 20)
[01:59:20 -42284.413586] SLOW spr round 46 (radius: 25)
[02:03:04 -42274.004282] SLOW spr round 47 (radius: 5)
[02:05:05 -42198.789836] SLOW spr round 48 (radius: 5)
[02:06:53 -42160.322354] SLOW spr round 49 (radius: 5)
[02:08:30 -42160.322241] SLOW spr round 50 (radius: 10)
[02:10:02 -42160.322240] SLOW spr round 51 (radius: 15)
[02:12:17 -42160.322240] SLOW spr round 52 (radius: 20)
[02:15:22 -42160.322240] SLOW spr round 53 (radius: 25)
[02:19:05 -42160.322240] Model parameter optimization (eps = 0.100000)

[02:19:13] [worker #0] ML tree search #1, logLikelihood: -42160.092693

[02:19:13 -135113.688052] Initial branch length optimization
[02:19:15 -118253.115971] Model parameter optimization (eps = 10.000000)
[02:19:41 -117740.933437] AUTODETECT spr round 1 (radius: 5)
[02:21:20 -86755.786430] AUTODETECT spr round 2 (radius: 10)
[02:23:06 -64935.727843] AUTODETECT spr round 3 (radius: 15)
[02:24:59 -54922.029674] AUTODETECT spr round 4 (radius: 20)
[02:27:05 -50382.108268] AUTODETECT spr round 5 (radius: 25)
[02:29:48 -49797.793800] SPR radius for FAST iterations: 25 (autodetect)
[02:29:48 -49797.793800] Model parameter optimization (eps = 3.000000)
[02:30:06 -49546.460759] FAST spr round 1 (radius: 25)
[02:32:00 -42956.859920] FAST spr round 2 (radius: 25)
[02:33:34 -42407.361905] FAST spr round 3 (radius: 25)
[02:34:22] [worker #1] ML tree search #4, logLikelihood: -42588.766474
[02:34:57 -42317.643837] FAST spr round 4 (radius: 25)
[02:36:21 -42297.765673] FAST spr round 5 (radius: 25)
[02:37:41 -42286.897181] FAST spr round 6 (radius: 25)
[02:38:59 -42282.946809] FAST spr round 7 (radius: 25)
[02:40:15 -42282.946684] Model parameter optimization (eps = 1.000000)
[02:40:24 -42258.987785] SLOW spr round 1 (radius: 5)
[02:42:01 -42245.302518] SLOW spr round 2 (radius: 5)
[02:43:37 -42242.724957] SLOW spr round 3 (radius: 5)
[02:45:13 -42239.689864] SLOW spr round 4 (radius: 5)
[02:46:44 -42239.689660] SLOW spr round 5 (radius: 10)
[02:48:16 -42235.117928] SLOW spr round 6 (radius: 5)
[02:50:13 -42226.577179] SLOW spr round 7 (radius: 5)
[02:51:54 -42226.081621] SLOW spr round 8 (radius: 5)
[02:53:29 -42226.081614] SLOW spr round 9 (radius: 10)
[02:55:02 -42225.431831] SLOW spr round 10 (radius: 5)
[02:56:54 -42225.431516] SLOW spr round 11 (radius: 10)
[02:58:32 -42225.431508] SLOW spr round 12 (radius: 15)
[03:00:40 -42225.431503] SLOW spr round 13 (radius: 20)
[03:03:32 -42225.431497] SLOW spr round 14 (radius: 25)
[03:07:00 -42225.431492] Model parameter optimization (eps = 0.100000)

[03:07:04] [worker #0] ML tree search #3, logLikelihood: -42225.403774

[03:07:04 -135199.954221] Initial branch length optimization
[03:07:06 -118314.355290] Model parameter optimization (eps = 10.000000)
[03:07:36 -117534.592412] AUTODETECT spr round 1 (radius: 5)
[03:09:15 -85343.073396] AUTODETECT spr round 2 (radius: 10)
[03:11:04 -65147.676454] AUTODETECT spr round 3 (radius: 15)
[03:13:01 -56902.543578] AUTODETECT spr round 4 (radius: 20)
[03:15:17 -52203.936097] AUTODETECT spr round 5 (radius: 25)
[03:17:44 -50469.224683] SPR radius for FAST iterations: 25 (autodetect)
[03:17:44 -50469.224683] Model parameter optimization (eps = 3.000000)
[03:18:04 -50179.020150] FAST spr round 1 (radius: 25)
[03:20:05 -43049.941000] FAST spr round 2 (radius: 25)
[03:21:42 -42332.350162] FAST spr round 3 (radius: 25)
[03:23:12 -42271.574093] FAST spr round 4 (radius: 25)
[03:24:39 -42260.096367] FAST spr round 5 (radius: 25)
[03:26:00 -42251.032645] FAST spr round 6 (radius: 25)
[03:27:18 -42250.149552] FAST spr round 7 (radius: 25)
[03:28:37 -42250.149433] Model parameter optimization (eps = 1.000000)
[03:28:45 -42233.312472] SLOW spr round 1 (radius: 5)
[03:30:26 -42214.923360] SLOW spr round 2 (radius: 5)
[03:32:04 -42209.561369] SLOW spr round 3 (radius: 5)
[03:33:40 -42209.561215] SLOW spr round 4 (radius: 10)
[03:35:15 -42204.672787] SLOW spr round 5 (radius: 5)
[03:37:12 -42198.371626] SLOW spr round 6 (radius: 5)
[03:37:30] [worker #1] ML tree search #6, logLikelihood: -42240.057454
[03:38:57 -42195.662567] SLOW spr round 7 (radius: 5)
[03:40:35 -42195.661723] SLOW spr round 8 (radius: 10)
[03:42:10 -42195.330157] SLOW spr round 9 (radius: 5)
[03:44:02 -42195.211415] SLOW spr round 10 (radius: 5)
[03:45:44 -42195.211360] SLOW spr round 11 (radius: 10)
[03:47:16 -42195.144336] SLOW spr round 12 (radius: 15)
[03:49:27 -42194.357675] SLOW spr round 13 (radius: 5)
[03:51:26 -42190.779986] SLOW spr round 14 (radius: 5)
[03:53:11 -42188.128522] SLOW spr round 15 (radius: 5)
[03:54:50 -42188.128026] SLOW spr round 16 (radius: 10)
[03:56:25 -42187.824636] SLOW spr round 17 (radius: 5)
[03:58:18 -42187.824630] SLOW spr round 18 (radius: 10)
[03:59:57 -42187.824630] SLOW spr round 19 (radius: 15)
[04:02:05 -42187.824630] SLOW spr round 20 (radius: 20)
[04:05:06 -42187.667671] SLOW spr round 21 (radius: 5)
[04:07:07 -42181.160928] SLOW spr round 22 (radius: 5)
[04:08:54 -42181.160926] SLOW spr round 23 (radius: 10)
[04:10:31 -42181.160926] SLOW spr round 24 (radius: 15)
[04:12:40 -42181.160926] SLOW spr round 25 (radius: 20)
[04:15:39 -42181.160926] SLOW spr round 26 (radius: 25)
[04:19:15 -42181.160926] Model parameter optimization (eps = 0.100000)

[04:19:19] [worker #0] ML tree search #5, logLikelihood: -42181.106094

[04:19:19 -135344.180335] Initial branch length optimization
[04:19:22 -118314.969102] Model parameter optimization (eps = 10.000000)
[04:19:51 -117611.150085] AUTODETECT spr round 1 (radius: 5)
[04:21:30 -83663.540699] AUTODETECT spr round 2 (radius: 10)
[04:23:14 -61634.537577] AUTODETECT spr round 3 (radius: 15)
[04:25:14 -54399.571715] AUTODETECT spr round 4 (radius: 20)
[04:27:42 -51890.367765] AUTODETECT spr round 5 (radius: 25)
[04:30:23 -49372.175337] SPR radius for FAST iterations: 25 (autodetect)
[04:30:23 -49372.175337] Model parameter optimization (eps = 3.000000)
[04:30:40 -49251.158821] FAST spr round 1 (radius: 25)
[04:32:38 -42726.751055] FAST spr round 2 (radius: 25)
[04:34:15 -42329.884849] FAST spr round 3 (radius: 25)
[04:35:42 -42273.720582] FAST spr round 4 (radius: 25)
[04:37:07 -42232.305789] FAST spr round 5 (radius: 25)
[04:38:28 -42205.759772] FAST spr round 6 (radius: 25)
[04:39:47 -42199.186600] FAST spr round 7 (radius: 25)
[04:41:04 -42198.418528] FAST spr round 8 (radius: 25)
[04:42:20 -42198.418478] Model parameter optimization (eps = 1.000000)
[04:42:23 -42198.285629] SLOW spr round 1 (radius: 5)
[04:44:02 -42191.822388] SLOW spr round 2 (radius: 5)
[04:45:38 -42190.962509] SLOW spr round 3 (radius: 5)
[04:47:12 -42190.962428] SLOW spr round 4 (radius: 10)
[04:48:44 -42188.431627] SLOW spr round 5 (radius: 5)
[04:50:20] [worker #1] ML tree search #8, logLikelihood: -42216.540439
[04:50:37 -42186.800794] SLOW spr round 6 (radius: 5)
[04:52:19 -42186.800422] SLOW spr round 7 (radius: 10)
[04:53:54 -42186.385668] SLOW spr round 8 (radius: 5)
[04:55:47 -42185.462832] SLOW spr round 9 (radius: 5)
[04:57:28 -42184.940341] SLOW spr round 10 (radius: 5)
[04:59:05 -42184.940270] SLOW spr round 11 (radius: 10)
[05:00:39 -42181.820543] SLOW spr round 12 (radius: 5)
[05:02:31 -42181.820451] SLOW spr round 13 (radius: 10)
[05:04:11 -42180.516977] SLOW spr round 14 (radius: 5)
[05:06:03 -42180.214831] SLOW spr round 15 (radius: 5)
[05:07:43 -42180.214831] SLOW spr round 16 (radius: 10)
[05:09:16 -42180.214831] SLOW spr round 17 (radius: 15)
[05:11:38 -42177.307783] SLOW spr round 18 (radius: 5)
[05:13:36 -42174.605202] SLOW spr round 19 (radius: 5)
[05:15:20 -42174.604237] SLOW spr round 20 (radius: 10)
[05:16:56 -42173.865780] SLOW spr round 21 (radius: 5)
[05:18:47 -42173.865517] SLOW spr round 22 (radius: 10)
[05:20:27 -42173.865515] SLOW spr round 23 (radius: 15)
[05:22:44 -42172.370269] SLOW spr round 24 (radius: 5)
[05:24:40 -42172.370269] SLOW spr round 25 (radius: 10)
[05:26:24 -42172.370269] SLOW spr round 26 (radius: 15)
[05:28:39 -42172.370269] SLOW spr round 27 (radius: 20)
[05:32:09 -42172.370269] SLOW spr round 28 (radius: 25)
[05:36:28 -42172.370269] Model parameter optimization (eps = 0.100000)

[05:36:30] [worker #0] ML tree search #7, logLikelihood: -42172.370132

[05:36:30 -134251.330400] Initial branch length optimization
[05:36:33 -117494.876488] Model parameter optimization (eps = 10.000000)
[05:36:59 -116971.233620] AUTODETECT spr round 1 (radius: 5)
[05:38:36 -84697.320738] AUTODETECT spr round 2 (radius: 10)
[05:40:19 -65093.184456] AUTODETECT spr round 3 (radius: 15)
[05:42:22 -54689.221057] AUTODETECT spr round 4 (radius: 20)
[05:44:48 -50375.279687] AUTODETECT spr round 5 (radius: 25)
[05:47:35 -49184.102489] SPR radius for FAST iterations: 25 (autodetect)
[05:47:35 -49184.102489] Model parameter optimization (eps = 3.000000)
[05:47:57 -48823.592771] FAST spr round 1 (radius: 25)
[05:49:53 -42648.025357] FAST spr round 2 (radius: 25)
[05:51:26 -42303.063141] FAST spr round 3 (radius: 25)
[05:52:53 -42255.093162] FAST spr round 4 (radius: 25)
[05:54:17 -42246.438281] FAST spr round 5 (radius: 25)
[05:55:35 -42240.662139] FAST spr round 6 (radius: 25)
[05:56:52 -42240.662093] Model parameter optimization (eps = 1.000000)
[05:56:56 -42240.469530] SLOW spr round 1 (radius: 5)
[05:58:34 -42224.138231] SLOW spr round 2 (radius: 5)
[06:00:11 -42215.326858] SLOW spr round 3 (radius: 5)
[06:01:44 -42214.573610] SLOW spr round 4 (radius: 5)
[06:03:14 -42214.573581] SLOW spr round 5 (radius: 10)
[06:04:14] [worker #1] ML tree search #10, logLikelihood: -42149.370511
[06:04:49 -42211.333060] SLOW spr round 6 (radius: 5)
[06:06:42 -42210.873656] SLOW spr round 7 (radius: 5)
[06:08:22 -42210.872872] SLOW spr round 8 (radius: 10)
[06:09:58 -42210.202268] SLOW spr round 9 (radius: 5)
[06:11:45 -42210.202196] SLOW spr round 10 (radius: 10)
[06:13:23 -42209.561028] SLOW spr round 11 (radius: 5)
[06:15:12 -42209.560540] SLOW spr round 12 (radius: 10)
[06:16:50 -42209.228600] SLOW spr round 13 (radius: 5)
[06:18:40 -42209.228571] SLOW spr round 14 (radius: 10)
[06:20:18 -42209.114564] SLOW spr round 15 (radius: 5)
[06:22:08 -42209.114542] SLOW spr round 16 (radius: 10)
[06:23:46 -42209.114521] SLOW spr round 17 (radius: 15)
[06:25:56 -42209.114500] SLOW spr round 18 (radius: 20)
[06:29:08 -42209.114480] SLOW spr round 19 (radius: 25)
[06:33:17 -42208.748952] SLOW spr round 20 (radius: 5)
[06:35:15 -42206.261254] SLOW spr round 21 (radius: 5)
[06:37:00 -42206.261192] SLOW spr round 22 (radius: 10)
[06:38:37 -42206.261172] SLOW spr round 23 (radius: 15)
[06:40:48 -42206.261153] SLOW spr round 24 (radius: 20)
[06:43:56 -42206.261134] SLOW spr round 25 (radius: 25)
[06:48:04 -42205.473433] SLOW spr round 26 (radius: 5)
[06:50:02 -42200.552053] SLOW spr round 27 (radius: 5)
[06:51:47 -42200.551764] SLOW spr round 28 (radius: 10)
[06:53:23 -42200.551736] SLOW spr round 29 (radius: 15)
[06:55:34 -42200.551731] SLOW spr round 30 (radius: 20)
[06:58:43 -42200.551731] SLOW spr round 31 (radius: 25)
[07:02:53 -42200.551731] Model parameter optimization (eps = 0.100000)

[07:02:54] [worker #0] ML tree search #9, logLikelihood: -42200.551715

[07:02:54 -135547.007540] Initial branch length optimization
[07:02:56 -118723.603517] Model parameter optimization (eps = 10.000000)
[07:03:26 -117791.104855] AUTODETECT spr round 1 (radius: 5)
[07:05:03 -84603.850610] AUTODETECT spr round 2 (radius: 10)
[07:06:49 -63894.887686] AUTODETECT spr round 3 (radius: 15)
[07:08:47 -53961.802658] AUTODETECT spr round 4 (radius: 20)
[07:10:57 -49659.441473] AUTODETECT spr round 5 (radius: 25)
[07:13:17 -48731.920087] SPR radius for FAST iterations: 25 (autodetect)
[07:13:17 -48731.920087] Model parameter optimization (eps = 3.000000)
[07:13:26 -48719.053420] FAST spr round 1 (radius: 25)
[07:15:23 -43167.196656] FAST spr round 2 (radius: 25)
[07:17:00 -42606.940810] FAST spr round 3 (radius: 25)
[07:18:29 -42480.858834] FAST spr round 4 (radius: 25)
[07:19:55 -42379.653176] FAST spr round 5 (radius: 25)
[07:21:16 -42356.406534] FAST spr round 6 (radius: 25)
[07:22:34 -42354.089286] FAST spr round 7 (radius: 25)
[07:23:51 -42354.089005] Model parameter optimization (eps = 1.000000)
[07:23:57 -42352.253110] SLOW spr round 1 (radius: 5)
[07:25:37 -42344.726298] SLOW spr round 2 (radius: 5)
[07:27:16 -42340.077795] SLOW spr round 3 (radius: 5)
[07:28:50 -42337.842394] SLOW spr round 4 (radius: 5)
[07:30:24 -42337.779373] SLOW spr round 5 (radius: 10)
[07:31:58 -42336.253511] SLOW spr round 6 (radius: 5)
[07:33:50 -42336.253455] SLOW spr round 7 (radius: 10)
[07:35:30 -42335.611135] SLOW spr round 8 (radius: 5)
[07:37:20 -42334.466125] SLOW spr round 9 (radius: 5)
[07:39:02 -42334.466125] SLOW spr round 10 (radius: 10)
[07:39:42] [worker #1] ML tree search #12, logLikelihood: -42340.337339
[07:40:36 -42334.466125] SLOW spr round 11 (radius: 15)
[07:42:52 -42324.606203] SLOW spr round 12 (radius: 5)
[07:44:49 -42324.585779] SLOW spr round 13 (radius: 10)
[07:46:33 -42324.257081] SLOW spr round 14 (radius: 5)
[07:48:30 -42318.706403] SLOW spr round 15 (radius: 5)
[07:50:12 -42313.404722] SLOW spr round 16 (radius: 5)
[07:51:49 -42311.155728] SLOW spr round 17 (radius: 5)
[07:53:24 -42311.155727] SLOW spr round 18 (radius: 10)
[07:54:57 -42311.155727] SLOW spr round 19 (radius: 15)
[07:57:18 -42310.752159] SLOW spr round 20 (radius: 5)
[07:59:15 -42310.752128] SLOW spr round 21 (radius: 10)
[08:00:59 -42310.752128] SLOW spr round 22 (radius: 15)
[08:03:11 -42310.752128] SLOW spr round 23 (radius: 20)
[08:06:26 -42310.752128] SLOW spr round 24 (radius: 25)
[08:10:34 -42310.752128] Model parameter optimization (eps = 0.100000)

[08:10:47] [worker #0] ML tree search #11, logLikelihood: -42226.209752

[08:10:47 -135273.886062] Initial branch length optimization
[08:10:49 -118192.471983] Model parameter optimization (eps = 10.000000)
[08:11:22 -117895.121080] AUTODETECT spr round 1 (radius: 5)
[08:13:00 -84009.933715] AUTODETECT spr round 2 (radius: 10)
[08:14:48 -63950.289717] AUTODETECT spr round 3 (radius: 15)
[08:16:50 -53688.776822] AUTODETECT spr round 4 (radius: 20)
[08:19:13 -49622.442787] AUTODETECT spr round 5 (radius: 25)
[08:21:53 -48519.561751] SPR radius for FAST iterations: 25 (autodetect)
[08:21:53 -48519.561751] Model parameter optimization (eps = 3.000000)
[08:22:10 -48286.727107] FAST spr round 1 (radius: 25)
[08:24:06 -42645.121296] FAST spr round 2 (radius: 25)
[08:25:45 -42303.837005] FAST spr round 3 (radius: 25)
[08:27:13 -42270.956197] FAST spr round 4 (radius: 25)
[08:28:35 -42263.733919] FAST spr round 5 (radius: 25)
[08:29:54 -42256.535181] FAST spr round 6 (radius: 25)
[08:31:13 -42254.715990] FAST spr round 7 (radius: 25)
[08:32:27 -42252.990890] FAST spr round 8 (radius: 25)
[08:33:44 -42251.059256] FAST spr round 9 (radius: 25)
[08:35:02 -42250.786240] FAST spr round 10 (radius: 25)
[08:36:19 -42250.786179] Model parameter optimization (eps = 1.000000)
[08:36:34 -42244.250534] SLOW spr round 1 (radius: 5)
[08:38:14 -42222.541411] SLOW spr round 2 (radius: 5)
[08:39:52 -42211.872286] SLOW spr round 3 (radius: 5)
[08:41:29 -42202.378702] SLOW spr round 4 (radius: 5)
[08:43:03 -42202.378643] SLOW spr round 5 (radius: 10)
[08:44:35 -42202.378643] SLOW spr round 6 (radius: 15)
[08:46:53 -42200.220905] SLOW spr round 7 (radius: 5)
[08:48:50 -42198.030458] SLOW spr round 8 (radius: 5)
[08:50:34 -42198.030445] SLOW spr round 9 (radius: 10)
[08:52:09 -42197.971626] SLOW spr round 10 (radius: 15)
[08:54:22 -42197.971132] SLOW spr round 11 (radius: 20)
[08:57:21 -42197.971120] SLOW spr round 12 (radius: 25)
[09:01:01 -42197.726361] SLOW spr round 13 (radius: 5)
[09:02:59 -42197.726355] SLOW spr round 14 (radius: 10)
[09:04:46 -42197.726355] SLOW spr round 15 (radius: 15)
[09:06:55 -42197.726355] SLOW spr round 16 (radius: 20)
[09:09:56 -42197.726355] SLOW spr round 17 (radius: 25)
[09:13:35 -42197.726355] Model parameter optimization (eps = 0.100000)

[09:13:38] [worker #0] ML tree search #13, logLikelihood: -42197.681573

[09:13:39 -135440.986863] Initial branch length optimization
[09:13:40 -118609.941953] Model parameter optimization (eps = 10.000000)
[09:14:02 -118333.864520] AUTODETECT spr round 1 (radius: 5)
[09:15:41 -85930.061118] AUTODETECT spr round 2 (radius: 10)
[09:17:31 -64619.716014] AUTODETECT spr round 3 (radius: 15)
[09:19:32 -55656.276399] AUTODETECT spr round 4 (radius: 20)
[09:21:59 -51348.084066] AUTODETECT spr round 5 (radius: 25)
[09:22:39] [worker #1] ML tree search #14, logLikelihood: -42188.966433
[09:25:32 -49998.778279] SPR radius for FAST iterations: 25 (autodetect)
[09:25:32 -49998.778279] Model parameter optimization (eps = 3.000000)
[09:25:47 -49814.254017] FAST spr round 1 (radius: 25)
[09:27:49 -42780.036857] FAST spr round 2 (radius: 25)
[09:29:27 -42273.594986] FAST spr round 3 (radius: 25)
[09:30:53 -42239.014475] FAST spr round 4 (radius: 25)
[09:32:14 -42236.468135] FAST spr round 5 (radius: 25)
[09:33:31 -42236.466717] Model parameter optimization (eps = 1.000000)
[09:33:35 -42236.111346] SLOW spr round 1 (radius: 5)
[09:35:16 -42224.301920] SLOW spr round 2 (radius: 5)
[09:36:52 -42224.301883] SLOW spr round 3 (radius: 10)
[09:38:26 -42223.401008] SLOW spr round 4 (radius: 5)
[09:40:18 -42223.400966] SLOW spr round 5 (radius: 10)
[09:41:59 -42222.171893] SLOW spr round 6 (radius: 5)
[09:43:51 -42219.526066] SLOW spr round 7 (radius: 5)
[09:45:33 -42219.140277] SLOW spr round 8 (radius: 5)
[09:47:10 -42218.366215] SLOW spr round 9 (radius: 5)
[09:48:45 -42218.366214] SLOW spr round 10 (radius: 10)
[09:50:18 -42214.824775] SLOW spr round 11 (radius: 5)
[09:52:13 -42211.886216] SLOW spr round 12 (radius: 5)
[09:53:55 -42211.886216] SLOW spr round 13 (radius: 10)
[09:55:29 -42211.443575] SLOW spr round 14 (radius: 5)
[09:57:23 -42206.502088] SLOW spr round 15 (radius: 5)
[09:59:05 -42206.502079] SLOW spr round 16 (radius: 10)
[10:00:40 -42206.502079] SLOW spr round 17 (radius: 15)
[10:02:57 -42205.460832] SLOW spr round 18 (radius: 5)
[10:04:52 -42205.460825] SLOW spr round 19 (radius: 10)
[10:06:35 -42205.460825] SLOW spr round 20 (radius: 15)
[10:08:45 -42205.460825] SLOW spr round 21 (radius: 20)
[10:11:59 -42205.460825] SLOW spr round 22 (radius: 25)
[10:15:49 -42205.460825] Model parameter optimization (eps = 0.100000)

[10:15:51] [worker #0] ML tree search #15, logLikelihood: -42205.460715

[10:15:51 -134101.739439] Initial branch length optimization
[10:15:53 -117740.213844] Model parameter optimization (eps = 10.000000)
[10:16:16 -117418.573848] AUTODETECT spr round 1 (radius: 5)
[10:17:56 -83880.985191] AUTODETECT spr round 2 (radius: 10)
[10:19:47 -64868.092183] AUTODETECT spr round 3 (radius: 15)
[10:21:48 -56184.280199] AUTODETECT spr round 4 (radius: 20)
[10:24:11 -51326.586521] AUTODETECT spr round 5 (radius: 25)
[10:27:13 -50668.453211] SPR radius for FAST iterations: 25 (autodetect)
[10:27:13 -50668.453211] Model parameter optimization (eps = 3.000000)
[10:27:31 -50487.555298] FAST spr round 1 (radius: 25)
[10:29:35 -43029.354298] FAST spr round 2 (radius: 25)
[10:31:13 -42315.957352] FAST spr round 3 (radius: 25)
[10:32:45 -42242.257085] FAST spr round 4 (radius: 25)
[10:34:06 -42236.261509] FAST spr round 5 (radius: 25)
[10:35:24 -42236.261442] Model parameter optimization (eps = 1.000000)
[10:35:35 -42223.262810] SLOW spr round 1 (radius: 5)
[10:37:18 -42210.809359] SLOW spr round 2 (radius: 5)
[10:38:58 -42208.106880] SLOW spr round 3 (radius: 5)
[10:40:33 -42207.812966] SLOW spr round 4 (radius: 5)
[10:42:05 -42207.812849] SLOW spr round 5 (radius: 10)
[10:43:39 -42205.057736] SLOW spr round 6 (radius: 5)
[10:45:31 -42200.284448] SLOW spr round 7 (radius: 5)
[10:47:11 -42200.284384] SLOW spr round 8 (radius: 10)
[10:47:24] [worker #1] ML tree search #16, logLikelihood: -42166.065072
[10:48:41 -42198.357372] SLOW spr round 9 (radius: 5)
[10:50:35 -42197.555224] SLOW spr round 10 (radius: 5)
[10:52:17 -42197.553407] SLOW spr round 11 (radius: 10)
[10:53:50 -42197.552689] SLOW spr round 12 (radius: 15)
[10:56:07 -42197.125527] SLOW spr round 13 (radius: 5)
[10:58:02 -42197.122279] SLOW spr round 14 (radius: 10)
[10:59:42 -42192.689005] SLOW spr round 15 (radius: 5)
[11:01:33 -42192.688769] SLOW spr round 16 (radius: 10)
[11:03:10 -42192.688704] SLOW spr round 17 (radius: 15)
[11:05:23 -42183.699007] SLOW spr round 18 (radius: 5)
[11:07:18 -42183.698606] SLOW spr round 19 (radius: 10)
[11:09:00 -42183.698551] SLOW spr round 20 (radius: 15)
[11:11:11 -42183.541790] SLOW spr round 21 (radius: 5)
[11:13:10 -42180.094853] SLOW spr round 22 (radius: 5)
[11:14:55 -42180.044171] SLOW spr round 23 (radius: 10)
[11:16:30 -42179.923787] SLOW spr round 24 (radius: 5)
[11:18:22 -42179.923145] SLOW spr round 25 (radius: 10)
[11:19:59 -42179.923095] SLOW spr round 26 (radius: 15)
[11:22:12 -42179.785843] SLOW spr round 27 (radius: 5)
[11:24:07 -42179.785796] SLOW spr round 28 (radius: 10)
[11:25:49 -42177.754745] SLOW spr round 29 (radius: 5)
[11:27:40 -42176.968330] SLOW spr round 30 (radius: 5)
[11:29:22 -42176.968297] SLOW spr round 31 (radius: 10)
[11:30:55 -42176.968265] SLOW spr round 32 (radius: 15)
[11:33:14 -42175.013132] SLOW spr round 33 (radius: 5)
[11:35:11 -42174.016319] SLOW spr round 34 (radius: 5)
[11:36:59 -42172.593848] SLOW spr round 35 (radius: 5)
[11:38:39 -42172.167472] SLOW spr round 36 (radius: 5)
[11:40:18 -42170.879224] SLOW spr round 37 (radius: 5)
[11:41:52 -42170.879158] SLOW spr round 38 (radius: 10)
[11:43:24 -42168.383043] SLOW spr round 39 (radius: 5)
[11:45:16 -42168.383043] SLOW spr round 40 (radius: 10)
[11:46:54 -42168.383043] SLOW spr round 41 (radius: 15)
[11:49:05 -42166.919366] SLOW spr round 42 (radius: 5)
[11:51:01 -42166.379867] SLOW spr round 43 (radius: 5)
[11:52:45 -42166.379866] SLOW spr round 44 (radius: 10)
[11:54:20 -42166.379866] SLOW spr round 45 (radius: 15)
[11:56:34 -42166.335387] SLOW spr round 46 (radius: 20)
[11:59:33 -42166.335385] SLOW spr round 47 (radius: 25)
[12:03:13 -42166.335385] Model parameter optimization (eps = 0.100000)

[12:03:24] [worker #0] ML tree search #17, logLikelihood: -42159.390149

[12:03:25 -135535.250517] Initial branch length optimization
[12:03:27 -118487.645661] Model parameter optimization (eps = 10.000000)
[12:03:54 -118233.101495] AUTODETECT spr round 1 (radius: 5)
[12:05:34 -83992.231816] AUTODETECT spr round 2 (radius: 10)
[12:07:22 -64662.285456] AUTODETECT spr round 3 (radius: 15)
[12:09:20 -57531.571478] AUTODETECT spr round 4 (radius: 20)
[12:11:40 -51637.119602] AUTODETECT spr round 5 (radius: 25)
[12:14:04 -50546.764620] SPR radius for FAST iterations: 25 (autodetect)
[12:14:04 -50546.764620] Model parameter optimization (eps = 3.000000)
[12:14:22 -50326.516613] FAST spr round 1 (radius: 25)
[12:16:24 -43133.015219] FAST spr round 2 (radius: 25)
[12:18:01 -42590.788482] FAST spr round 3 (radius: 25)
[12:19:31 -42543.581134] FAST spr round 4 (radius: 25)
[12:20:53 -42536.078885] FAST spr round 5 (radius: 25)
[12:22:12 -42536.078556] Model parameter optimization (eps = 1.000000)
[12:22:15 -42535.884348] SLOW spr round 1 (radius: 5)
[12:23:56 -42522.650779] SLOW spr round 2 (radius: 5)
[12:25:38 -42518.125328] SLOW spr round 3 (radius: 5)
[12:27:00] [worker #1] ML tree search #18, logLikelihood: -42126.294024
[12:27:11 -42518.110592] SLOW spr round 4 (radius: 10)
[12:28:46 -42514.829008] SLOW spr round 5 (radius: 5)
[12:30:38 -42514.829007] SLOW spr round 6 (radius: 10)
[12:32:19 -42513.128587] SLOW spr round 7 (radius: 5)
[12:34:11 -42508.555042] SLOW spr round 8 (radius: 5)
[12:35:53 -42507.818395] SLOW spr round 9 (radius: 5)
[12:37:30 -42507.818271] SLOW spr round 10 (radius: 10)
[12:39:04 -42507.736507] SLOW spr round 11 (radius: 15)
[12:41:20 -42500.760965] SLOW spr round 12 (radius: 5)
[12:43:18 -42496.878326] SLOW spr round 13 (radius: 5)
[12:45:02 -42496.876670] SLOW spr round 14 (radius: 10)
[12:46:40 -42495.977902] SLOW spr round 15 (radius: 5)
[12:48:32 -42495.977902] SLOW spr round 16 (radius: 10)
[12:50:14 -42495.144414] SLOW spr round 17 (radius: 5)
[12:52:07 -42494.314929] SLOW spr round 18 (radius: 5)
[12:53:48 -42494.314905] SLOW spr round 19 (radius: 10)
[12:55:25 -42494.314905] SLOW spr round 20 (radius: 15)
[12:57:36 -42494.314905] SLOW spr round 21 (radius: 20)
[13:00:23 -42494.314905] SLOW spr round 22 (radius: 25)
[13:03:48 -42426.069985] SLOW spr round 23 (radius: 5)
[13:05:50 -42411.224394] SLOW spr round 24 (radius: 5)
[13:07:37 -42411.224274] SLOW spr round 25 (radius: 10)
[13:09:15 -42406.333748] SLOW spr round 26 (radius: 5)
[13:11:08 -42405.958195] SLOW spr round 27 (radius: 5)
[13:12:53 -42404.859504] SLOW spr round 28 (radius: 5)
[13:14:29 -42404.859417] SLOW spr round 29 (radius: 10)
[13:16:07 -42303.043071] SLOW spr round 30 (radius: 5)
[13:18:02 -42283.985188] SLOW spr round 31 (radius: 5)
[13:19:45 -42283.985157] SLOW spr round 32 (radius: 10)
[13:21:21 -42283.985157] SLOW spr round 33 (radius: 15)
[13:23:37 -42283.241344] SLOW spr round 34 (radius: 5)
[13:25:33 -42281.328634] SLOW spr round 35 (radius: 5)
[13:27:17 -42281.328613] SLOW spr round 36 (radius: 10)
[13:28:56 -42193.624661] SLOW spr round 37 (radius: 5)
[13:30:51 -42168.309435] SLOW spr round 38 (radius: 5)
[13:32:33 -42166.114421] SLOW spr round 39 (radius: 5)
[13:34:10 -42166.114421] SLOW spr round 40 (radius: 10)
[13:35:45 -42166.114421] SLOW spr round 41 (radius: 15)
[13:38:01 -42166.114421] SLOW spr round 42 (radius: 20)
[13:40:56 -42163.883392] SLOW spr round 43 (radius: 5)
[13:42:55 -42163.516998] SLOW spr round 44 (radius: 5)
[13:44:40 -42163.516991] SLOW spr round 45 (radius: 10)
[13:46:19 -42163.516991] SLOW spr round 46 (radius: 15)
[13:48:31 -42163.516991] SLOW spr round 47 (radius: 20)
[13:51:28 -42163.516991] SLOW spr round 48 (radius: 25)
[13:55:14 -42163.516991] Model parameter optimization (eps = 0.100000)

[13:55:22] [worker #0] ML tree search #19, logLikelihood: -42151.001019

[14:10:23] [worker #1] ML tree search #20, logLikelihood: -42224.663247

Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.253008,0.513947) (0.148874,0.591044) (0.459123,1.031285) (0.138995,2.219433) 
   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: -42126.294024

AIC score: 88262.588047 / AICc score: 8132322.588047 / BIC score: 93206.733825
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=87).
         This might lead to overfitting and compromise tree inference results!


WARNING: Best ML tree contains 153 near-zero branches!

Best ML tree with collapsed near-zero branches saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A0A075B6I7/3_mltree/A0A075B6I7.raxml.bestTreeCollapsed
Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A0A075B6I7/3_mltree/A0A075B6I7.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A0A075B6I7/3_mltree/A0A075B6I7.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A0A075B6I7/3_mltree/A0A075B6I7.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A0A075B6I7/3_mltree/A0A075B6I7.raxml.log

Analysis started: 07-Jul-2021 13:59:29 / finished: 08-Jul-2021 04:09:53

Elapsed time: 51024.015 seconds

Consumed energy: 4362.922 Wh (= 22 km in an electric car, or 109 km with an e-scooter!)