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 15-Jul-2021 05:20:39 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8WVM7/2_msa/Q8WVM7_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8WVM7/3_mltree/Q8WVM7 --seed 2 --threads 9 --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 (9 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8WVM7/2_msa/Q8WVM7_trimmed_msa.fasta
[00:00:00] Loaded alignment with 574 taxa and 1228 sites

WARNING: Sequences tr_M3XQI7_M3XQI7_MUSPF_9669 and tr_A0A2Y9KJZ6_A0A2Y9KJZ6_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_A0A2I3HJY3_A0A2I3HJY3_NOMLE_61853 and tr_G3QND0_G3QND0_GORGO_9595 are exactly identical!
WARNING: Sequences tr_A0A2I3HJY3_A0A2I3HJY3_NOMLE_61853 and tr_K7CCP7_K7CCP7_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A2I3HJY3_A0A2I3HJY3_NOMLE_61853 and tr_A0A2R9BTK7_A0A2R9BTK7_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I2YS46_A0A2I2YS46_GORGO_9595 and sp_Q8WVM7_STAG1_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2I2YS46_A0A2I2YS46_GORGO_9595 and tr_H9EMJ5_H9EMJ5_MACMU_9544 are exactly identical!
WARNING: Sequences tr_A0A2I2YS46_A0A2I2YS46_GORGO_9595 and tr_G7NXX5_G7NXX5_MACFA_9541 are exactly identical!
WARNING: Sequences tr_A0A2I2YS46_A0A2I2YS46_GORGO_9595 and tr_A0A2I3LGJ8_A0A2I3LGJ8_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A2I2YS46_A0A2I2YS46_GORGO_9595 and tr_A0A2K6BMT6_A0A2K6BMT6_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A2I2YS46_A0A2I2YS46_GORGO_9595 and tr_A0A2K5YCP0_A0A2K5YCP0_MANLE_9568 are exactly identical!
WARNING: Sequences tr_H2QUR8_H2QUR8_PANTR_9598 and tr_A0A2R9BTA1_A0A2R9BTA1_PANPA_9597 are exactly identical!
WARNING: Sequences tr_W5PDD5_W5PDD5_SHEEP_9940 and tr_F1SL71_F1SL71_PIG_9823 are exactly identical!
WARNING: Sequences tr_W5PDD5_W5PDD5_SHEEP_9940 and tr_F1MC39_F1MC39_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_W5PDD5_W5PDD5_SHEEP_9940 and tr_A0A2Y9EJ28_A0A2Y9EJ28_PHYCD_9755 are exactly identical!
WARNING: Sequences tr_W5PDD5_W5PDD5_SHEEP_9940 and tr_A0A383Z6C3_A0A383Z6C3_BALAS_310752 are exactly identical!
WARNING: Sequences tr_F1RU62_F1RU62_PIG_9823 and tr_A0A2U3UZH9_A0A2U3UZH9_TURTR_9739 are exactly identical!
WARNING: Sequences tr_F1RU62_F1RU62_PIG_9823 and tr_A0A2Y9M775_A0A2Y9M775_DELLE_9749 are exactly identical!
WARNING: Sequences tr_F1RU62_F1RU62_PIG_9823 and tr_A0A2Y9EY35_A0A2Y9EY35_PHYCD_9755 are exactly identical!
WARNING: Sequences tr_G7Q3M4_G7Q3M4_MACFA_9541 and tr_A0A0D9S0F3_A0A0D9S0F3_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_G7Q3M4_G7Q3M4_MACFA_9541 and tr_A0A2K5LBQ4_A0A2K5LBQ4_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G7Q3M4_G7Q3M4_MACFA_9541 and tr_A0A2K6CBH6_A0A2K6CBH6_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G7Q3M4_G7Q3M4_MACFA_9541 and tr_A0A2K5Z7A0_A0A2K5Z7A0_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A151NNM6_A0A151NNM6_ALLMI_8496 and tr_A0A1U7RJM5_A0A1U7RJM5_ALLSI_38654 are exactly identical!
WARNING: Sequences tr_A0A091IWD9_A0A091IWD9_EGRGA_188379 and tr_A0A099YX04_A0A099YX04_TINGU_94827 are exactly identical!
WARNING: Sequences tr_A0A2D0QJR4_A0A2D0QJR4_ICTPU_7998 and tr_W5UCR7_W5UCR7_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2U4B9D3_A0A2U4B9D3_TURTR_9739 and tr_A0A2Y9NZ72_A0A2Y9NZ72_DELLE_9749 are exactly identical!
WARNING: Sequences tr_A0A2U3WZC5_A0A2U3WZC5_ODORO_9708 and tr_A0A2U3X907_A0A2U3X907_LEPWE_9713 are exactly identical!
WARNING: Sequences tr_A0A2U3WZC5_A0A2U3WZC5_ODORO_9708 and tr_A0A384DI60_A0A384DI60_URSMA_29073 are exactly identical!
WARNING: Duplicate sequences found: 28

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/Q8WVM7/3_mltree/Q8WVM7.raxml.reduced.phy

Alignment comprises 1 partitions and 1228 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 1228 / 1228
Gaps: 21.41 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8WVM7/3_mltree/Q8WVM7.raxml.rba

Parallelization scheme autoconfig: 1 worker(s) x 9 thread(s)

Parallel reduction/worker buffer size: 1 KB  / 0 KB

[00:00:00] Generating 20 random starting tree(s) with 574 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 137 / 10960
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -890525.354397] Initial branch length optimization
[00:00:04 -683566.286136] Model parameter optimization (eps = 10.000000)
[00:00:44 -680186.049511] AUTODETECT spr round 1 (radius: 5)
[00:01:38 -506095.762134] AUTODETECT spr round 2 (radius: 10)
[00:02:36 -383030.042423] AUTODETECT spr round 3 (radius: 15)
[00:03:43 -314491.052984] AUTODETECT spr round 4 (radius: 20)
[00:05:04 -305595.556950] AUTODETECT spr round 5 (radius: 25)
[00:06:45 -296363.842718] SPR radius for FAST iterations: 25 (autodetect)
[00:06:45 -296363.842718] Model parameter optimization (eps = 3.000000)
[00:07:11 -294674.185604] FAST spr round 1 (radius: 25)
[00:08:25 -251645.669247] FAST spr round 2 (radius: 25)
[00:09:18 -250876.877942] FAST spr round 3 (radius: 25)
[00:10:06 -250855.711663] FAST spr round 4 (radius: 25)
[00:10:49 -250855.622637] Model parameter optimization (eps = 1.000000)
[00:11:00 -250845.686592] SLOW spr round 1 (radius: 5)
[00:11:57 -250793.029078] SLOW spr round 2 (radius: 5)
[00:12:56 -250792.504777] SLOW spr round 3 (radius: 5)
[00:13:54 -250792.504460] SLOW spr round 4 (radius: 10)
[00:14:58 -250791.102777] SLOW spr round 5 (radius: 5)
[00:16:13 -250791.102246] SLOW spr round 6 (radius: 10)
[00:17:24 -250791.101751] SLOW spr round 7 (radius: 15)
[00:19:22 -250791.101262] SLOW spr round 8 (radius: 20)
[00:22:33 -250791.100779] SLOW spr round 9 (radius: 25)
[00:26:10 -250791.100301] Model parameter optimization (eps = 0.100000)

[00:26:15] ML tree search #1, logLikelihood: -250790.926419

[00:26:15 -887338.983821] Initial branch length optimization
[00:26:19 -687803.460631] Model parameter optimization (eps = 10.000000)
[00:26:51 -684315.821125] AUTODETECT spr round 1 (radius: 5)
[00:27:46 -500968.025400] AUTODETECT spr round 2 (radius: 10)
[00:28:45 -401871.193078] AUTODETECT spr round 3 (radius: 15)
[00:29:55 -317332.276412] AUTODETECT spr round 4 (radius: 20)
[00:31:17 -296615.707501] AUTODETECT spr round 5 (radius: 25)
[00:33:00 -291485.741877] SPR radius for FAST iterations: 25 (autodetect)
[00:33:00 -291485.741877] Model parameter optimization (eps = 3.000000)
[00:33:25 -290051.027666] FAST spr round 1 (radius: 25)
[00:34:38 -252750.635862] FAST spr round 2 (radius: 25)
[00:35:37 -251071.278085] FAST spr round 3 (radius: 25)
[00:36:26 -250857.999807] FAST spr round 4 (radius: 25)
[00:37:10 -250856.531448] FAST spr round 5 (radius: 25)
[00:37:51 -250856.516833] Model parameter optimization (eps = 1.000000)
[00:38:02 -250844.662990] SLOW spr round 1 (radius: 5)
[00:39:02 -250797.117418] SLOW spr round 2 (radius: 5)
[00:40:02 -250796.778787] SLOW spr round 3 (radius: 5)
[00:40:59 -250796.776741] SLOW spr round 4 (radius: 10)
[00:42:03 -250793.282145] SLOW spr round 5 (radius: 5)
[00:43:20 -250793.281882] SLOW spr round 6 (radius: 10)
[00:44:31 -250793.281814] SLOW spr round 7 (radius: 15)
[00:46:26 -250793.281778] SLOW spr round 8 (radius: 20)
[00:49:29 -250793.281757] SLOW spr round 9 (radius: 25)
[00:52:58 -250793.281744] Model parameter optimization (eps = 0.100000)

[00:53:04] ML tree search #2, logLikelihood: -250793.131695

[00:53:04 -896855.110160] Initial branch length optimization
[00:53:08 -691561.925041] Model parameter optimization (eps = 10.000000)
[00:53:47 -688075.851048] AUTODETECT spr round 1 (radius: 5)
[00:54:41 -517749.268985] AUTODETECT spr round 2 (radius: 10)
[00:55:40 -408789.647656] AUTODETECT spr round 3 (radius: 15)
[00:56:47 -345267.229601] AUTODETECT spr round 4 (radius: 20)
[00:58:16 -295944.460067] AUTODETECT spr round 5 (radius: 25)
[00:59:51 -295459.752954] SPR radius for FAST iterations: 25 (autodetect)
[00:59:51 -295459.752954] Model parameter optimization (eps = 3.000000)
[01:00:19 -293703.936988] FAST spr round 1 (radius: 25)
[01:01:30 -253329.875067] FAST spr round 2 (radius: 25)
[01:02:23 -250946.295296] FAST spr round 3 (radius: 25)
[01:03:12 -250872.414349] FAST spr round 4 (radius: 25)
[01:03:59 -250867.344773] FAST spr round 5 (radius: 25)
[01:04:42 -250859.610979] FAST spr round 6 (radius: 25)
[01:05:23 -250859.599578] Model parameter optimization (eps = 1.000000)
[01:05:35 -250846.340036] SLOW spr round 1 (radius: 5)
[01:06:34 -250785.747955] SLOW spr round 2 (radius: 5)
[01:07:33 -250785.089560] SLOW spr round 3 (radius: 5)
[01:08:30 -250785.089045] SLOW spr round 4 (radius: 10)
[01:09:33 -250785.084999] SLOW spr round 5 (radius: 15)
[01:11:31 -250785.084511] SLOW spr round 6 (radius: 20)
[01:14:38 -250785.084116] SLOW spr round 7 (radius: 25)
[01:18:11 -250785.083634] Model parameter optimization (eps = 0.100000)

[01:18:16] ML tree search #3, logLikelihood: -250785.061854

[01:18:16 -891098.034837] Initial branch length optimization
[01:18:19 -684656.389015] Model parameter optimization (eps = 10.000000)
[01:18:58 -681307.229823] AUTODETECT spr round 1 (radius: 5)
[01:19:53 -514174.540569] AUTODETECT spr round 2 (radius: 10)
[01:20:54 -393279.200116] AUTODETECT spr round 3 (radius: 15)
[01:22:12 -326303.445460] AUTODETECT spr round 4 (radius: 20)
[01:23:46 -292089.375233] AUTODETECT spr round 5 (radius: 25)
[01:25:26 -284933.469198] SPR radius for FAST iterations: 25 (autodetect)
[01:25:26 -284933.469198] Model parameter optimization (eps = 3.000000)
[01:25:51 -283698.763562] FAST spr round 1 (radius: 25)
[01:27:09 -252176.982865] FAST spr round 2 (radius: 25)
[01:28:08 -250904.708427] FAST spr round 3 (radius: 25)
[01:28:57 -250876.478369] FAST spr round 4 (radius: 25)
[01:29:40 -250876.463451] Model parameter optimization (eps = 1.000000)
[01:29:51 -250866.983108] SLOW spr round 1 (radius: 5)
[01:30:49 -250796.244524] SLOW spr round 2 (radius: 5)
[01:31:51 -250795.596420] SLOW spr round 3 (radius: 5)
[01:32:48 -250795.595427] SLOW spr round 4 (radius: 10)
[01:33:51 -250795.594994] SLOW spr round 5 (radius: 15)
[01:35:49 -250795.594397] SLOW spr round 6 (radius: 20)
[01:38:58 -250793.976523] SLOW spr round 7 (radius: 5)
[01:40:25 -250793.097797] SLOW spr round 8 (radius: 5)
[01:41:37 -250792.079948] SLOW spr round 9 (radius: 5)
[01:42:41 -250792.079515] SLOW spr round 10 (radius: 10)
[01:43:46 -250792.079174] SLOW spr round 11 (radius: 15)
[01:45:45 -250792.078830] SLOW spr round 12 (radius: 20)
[01:48:55 -250792.077900] SLOW spr round 13 (radius: 25)
[01:52:31 -250792.077474] Model parameter optimization (eps = 0.100000)

[01:52:35] ML tree search #4, logLikelihood: -250792.048562

[01:52:35 -885099.796983] Initial branch length optimization
[01:52:38 -681282.589041] Model parameter optimization (eps = 10.000000)
[01:53:13 -677883.171873] AUTODETECT spr round 1 (radius: 5)
[01:54:09 -520635.806708] AUTODETECT spr round 2 (radius: 10)
[01:55:11 -387842.451210] AUTODETECT spr round 3 (radius: 15)
[01:56:15 -318479.938319] AUTODETECT spr round 4 (radius: 20)
[01:57:31 -294397.778379] AUTODETECT spr round 5 (radius: 25)
[01:58:57 -286380.287448] SPR radius for FAST iterations: 25 (autodetect)
[01:58:57 -286380.287448] Model parameter optimization (eps = 3.000000)
[01:59:19 -284868.687235] FAST spr round 1 (radius: 25)
[02:00:37 -251853.121083] FAST spr round 2 (radius: 25)
[02:01:37 -250935.865264] FAST spr round 3 (radius: 25)
[02:02:29 -250849.978450] FAST spr round 4 (radius: 25)
[02:03:12 -250849.561203] FAST spr round 5 (radius: 25)
[02:03:54 -250849.560954] Model parameter optimization (eps = 1.000000)
[02:04:05 -250828.604075] SLOW spr round 1 (radius: 5)
[02:05:04 -250785.089748] SLOW spr round 2 (radius: 5)
[02:06:04 -250784.340594] SLOW spr round 3 (radius: 5)
[02:07:02 -250784.339625] SLOW spr round 4 (radius: 10)
[02:08:08 -250784.339047] SLOW spr round 5 (radius: 15)
[02:10:08 -250783.902081] SLOW spr round 6 (radius: 5)
[02:11:32 -250783.876314] SLOW spr round 7 (radius: 10)
[02:12:49 -250783.876262] SLOW spr round 8 (radius: 15)
[02:14:45 -250783.876227] SLOW spr round 9 (radius: 20)
[02:17:53 -250783.876196] SLOW spr round 10 (radius: 25)
[02:21:29 -250783.876168] Model parameter optimization (eps = 0.100000)

[02:21:35] ML tree search #5, logLikelihood: -250783.820892

[02:21:35 -887033.271432] Initial branch length optimization
[02:21:38 -678000.674635] Model parameter optimization (eps = 10.000000)
[02:22:11 -674814.175158] AUTODETECT spr round 1 (radius: 5)
[02:23:07 -497504.596154] AUTODETECT spr round 2 (radius: 10)
[02:24:06 -391743.364582] AUTODETECT spr round 3 (radius: 15)
[02:25:17 -330146.855977] AUTODETECT spr round 4 (radius: 20)
[02:26:51 -302208.382814] AUTODETECT spr round 5 (radius: 25)
[02:28:30 -299292.285258] SPR radius for FAST iterations: 25 (autodetect)
[02:28:30 -299292.285258] Model parameter optimization (eps = 3.000000)
[02:28:56 -297777.784394] FAST spr round 1 (radius: 25)
[02:30:21 -252953.615930] FAST spr round 2 (radius: 25)
[02:31:23 -250961.962425] FAST spr round 3 (radius: 25)
[02:32:18 -250854.890667] FAST spr round 4 (radius: 25)
[02:33:04 -250837.248874] FAST spr round 5 (radius: 25)
[02:33:46 -250837.248385] Model parameter optimization (eps = 1.000000)
[02:34:00 -250821.422676] SLOW spr round 1 (radius: 5)
[02:35:00 -250784.453483] SLOW spr round 2 (radius: 5)
[02:36:00 -250784.057765] SLOW spr round 3 (radius: 5)
[02:36:58 -250784.055476] SLOW spr round 4 (radius: 10)
[02:38:01 -250784.054238] SLOW spr round 5 (radius: 15)
[02:39:59 -250782.439979] SLOW spr round 6 (radius: 5)
[02:41:23 -250781.570157] SLOW spr round 7 (radius: 5)
[02:42:32 -250780.554395] SLOW spr round 8 (radius: 5)
[02:43:34 -250780.554139] SLOW spr round 9 (radius: 10)
[02:44:39 -250780.554118] SLOW spr round 10 (radius: 15)
[02:46:35 -250780.554113] SLOW spr round 11 (radius: 20)
[02:49:37 -250780.554108] SLOW spr round 12 (radius: 25)
[02:53:08 -250780.554104] Model parameter optimization (eps = 0.100000)

[02:53:15] ML tree search #6, logLikelihood: -250780.480634

[02:53:15 -893075.668711] Initial branch length optimization
[02:53:18 -683373.436464] Model parameter optimization (eps = 10.000000)
[02:53:53 -679851.774412] AUTODETECT spr round 1 (radius: 5)
[02:54:47 -503987.492032] AUTODETECT spr round 2 (radius: 10)
[02:55:47 -394917.156713] AUTODETECT spr round 3 (radius: 15)
[02:56:56 -329389.099206] AUTODETECT spr round 4 (radius: 20)
[02:58:22 -292908.264636] AUTODETECT spr round 5 (radius: 25)
[03:00:13 -287536.260589] SPR radius for FAST iterations: 25 (autodetect)
[03:00:13 -287536.260589] Model parameter optimization (eps = 3.000000)
[03:00:36 -286112.112587] FAST spr round 1 (radius: 25)
[03:01:57 -251956.579867] FAST spr round 2 (radius: 25)
[03:02:59 -250946.908899] FAST spr round 3 (radius: 25)
[03:03:49 -250876.333197] FAST spr round 4 (radius: 25)
[03:04:33 -250862.604549] FAST spr round 5 (radius: 25)
[03:05:16 -250862.574072] Model parameter optimization (eps = 1.000000)
[03:05:26 -250844.710488] SLOW spr round 1 (radius: 5)
[03:06:27 -250783.795166] SLOW spr round 2 (radius: 5)
[03:07:28 -250783.143410] SLOW spr round 3 (radius: 5)
[03:08:28 -250783.142105] SLOW spr round 4 (radius: 10)
[03:09:32 -250781.754892] SLOW spr round 5 (radius: 5)
[03:10:49 -250781.752993] SLOW spr round 6 (radius: 10)
[03:12:02 -250781.752629] SLOW spr round 7 (radius: 15)
[03:13:57 -250781.752095] SLOW spr round 8 (radius: 20)
[03:17:07 -250781.751655] SLOW spr round 9 (radius: 25)
[03:20:40 -250781.751218] Model parameter optimization (eps = 0.100000)

[03:20:44] ML tree search #7, logLikelihood: -250781.673979

[03:20:44 -888559.989250] Initial branch length optimization
[03:20:47 -679085.321151] Model parameter optimization (eps = 10.000000)
[03:21:29 -675785.013504] AUTODETECT spr round 1 (radius: 5)
[03:22:23 -513865.421813] AUTODETECT spr round 2 (radius: 10)
[03:23:23 -384811.140361] AUTODETECT spr round 3 (radius: 15)
[03:24:28 -326539.962216] AUTODETECT spr round 4 (radius: 20)
[03:25:46 -308127.218983] AUTODETECT spr round 5 (radius: 25)
[03:27:18 -301637.923149] SPR radius for FAST iterations: 25 (autodetect)
[03:27:18 -301637.923149] Model parameter optimization (eps = 3.000000)
[03:27:47 -300220.425189] FAST spr round 1 (radius: 25)
[03:29:01 -252913.870574] FAST spr round 2 (radius: 25)
[03:29:57 -251080.456182] FAST spr round 3 (radius: 25)
[03:30:45 -250857.588537] FAST spr round 4 (radius: 25)
[03:31:31 -250850.513129] FAST spr round 5 (radius: 25)
[03:32:14 -250850.310190] FAST spr round 6 (radius: 25)
[03:32:56 -250850.309819] Model parameter optimization (eps = 1.000000)
[03:33:07 -250836.026358] SLOW spr round 1 (radius: 5)
[03:34:06 -250788.416996] SLOW spr round 2 (radius: 5)
[03:35:05 -250788.416071] SLOW spr round 3 (radius: 10)
[03:36:10 -250787.028985] SLOW spr round 4 (radius: 5)
[03:37:26 -250787.028659] SLOW spr round 5 (radius: 10)
[03:38:39 -250787.028425] SLOW spr round 6 (radius: 15)
[03:40:40 -250787.028253] SLOW spr round 7 (radius: 20)
[03:43:56 -250785.416001] SLOW spr round 8 (radius: 5)
[03:45:21 -250784.545488] SLOW spr round 9 (radius: 5)
[03:46:33 -250783.530131] SLOW spr round 10 (radius: 5)
[03:47:36 -250783.529684] SLOW spr round 11 (radius: 10)
[03:48:43 -250783.529672] SLOW spr round 12 (radius: 15)
[03:50:45 -250783.529667] SLOW spr round 13 (radius: 20)
[03:53:58 -250783.529662] SLOW spr round 14 (radius: 25)
[03:57:35 -250783.529659] Model parameter optimization (eps = 0.100000)

[03:57:42] ML tree search #8, logLikelihood: -250783.334260

[03:57:42 -887287.788132] Initial branch length optimization
[03:57:46 -678847.147053] Model parameter optimization (eps = 10.000000)
[03:58:24 -675507.753590] AUTODETECT spr round 1 (radius: 5)
[03:59:19 -514102.337008] AUTODETECT spr round 2 (radius: 10)
[04:00:19 -394055.043599] AUTODETECT spr round 3 (radius: 15)
[04:01:38 -305600.086057] AUTODETECT spr round 4 (radius: 20)
[04:03:02 -290088.248353] AUTODETECT spr round 5 (radius: 25)
[04:04:48 -285921.478037] SPR radius for FAST iterations: 25 (autodetect)
[04:04:48 -285921.478037] Model parameter optimization (eps = 3.000000)
[04:05:16 -284440.167760] FAST spr round 1 (radius: 25)
[04:06:39 -252468.906251] FAST spr round 2 (radius: 25)
[04:07:41 -250900.395414] FAST spr round 3 (radius: 25)
[04:08:33 -250858.483619] FAST spr round 4 (radius: 25)
[04:09:17 -250848.872960] FAST spr round 5 (radius: 25)
[04:09:59 -250848.870847] Model parameter optimization (eps = 1.000000)
[04:10:09 -250844.445864] SLOW spr round 1 (radius: 5)
[04:11:09 -250783.294934] SLOW spr round 2 (radius: 5)
[04:12:08 -250782.170383] SLOW spr round 3 (radius: 5)
[04:13:04 -250782.167413] SLOW spr round 4 (radius: 10)
[04:14:08 -250782.165803] SLOW spr round 5 (radius: 15)
[04:16:09 -250782.164835] SLOW spr round 6 (radius: 20)
[04:19:18 -250782.164206] SLOW spr round 7 (radius: 25)
[04:22:53 -250782.163755] Model parameter optimization (eps = 0.100000)

[04:23:01] ML tree search #9, logLikelihood: -250781.703542

[04:23:01 -886097.593037] Initial branch length optimization
[04:23:04 -684580.795273] Model parameter optimization (eps = 10.000000)
[04:23:51 -681113.277635] AUTODETECT spr round 1 (radius: 5)
[04:24:46 -495276.060945] AUTODETECT spr round 2 (radius: 10)
[04:25:43 -382850.277085] AUTODETECT spr round 3 (radius: 15)
[04:26:53 -288147.105418] AUTODETECT spr round 4 (radius: 20)
[04:28:19 -282516.264276] AUTODETECT spr round 5 (radius: 25)
[04:29:58 -282306.385212] SPR radius for FAST iterations: 25 (autodetect)
[04:29:58 -282306.385212] Model parameter optimization (eps = 3.000000)
[04:30:25 -280876.854152] FAST spr round 1 (radius: 25)
[04:31:47 -252044.154840] FAST spr round 2 (radius: 25)
[04:32:47 -250901.429074] FAST spr round 3 (radius: 25)
[04:33:35 -250843.941260] FAST spr round 4 (radius: 25)
[04:34:19 -250843.605692] FAST spr round 5 (radius: 25)
[04:35:01 -250843.604336] Model parameter optimization (eps = 1.000000)
[04:35:15 -250832.180720] SLOW spr round 1 (radius: 5)
[04:36:13 -250783.624875] SLOW spr round 2 (radius: 5)
[04:37:12 -250781.623690] SLOW spr round 3 (radius: 5)
[04:38:10 -250781.620332] SLOW spr round 4 (radius: 10)
[04:39:13 -250781.619345] SLOW spr round 5 (radius: 15)
[04:41:14 -250781.618945] SLOW spr round 6 (radius: 20)
[04:44:26 -250781.618727] SLOW spr round 7 (radius: 25)
[04:47:57 -250781.618581] Model parameter optimization (eps = 0.100000)

[04:48:03] ML tree search #10, logLikelihood: -250781.503165

[04:48:03 -890756.937302] Initial branch length optimization
[04:48:06 -680740.111251] Model parameter optimization (eps = 10.000000)
[04:48:45 -677415.468872] AUTODETECT spr round 1 (radius: 5)
[04:49:40 -510186.638875] AUTODETECT spr round 2 (radius: 10)
[04:50:40 -406060.288221] AUTODETECT spr round 3 (radius: 15)
[04:51:55 -322847.305497] AUTODETECT spr round 4 (radius: 20)
[04:53:26 -304670.166832] AUTODETECT spr round 5 (radius: 25)
[04:55:07 -300443.682178] SPR radius for FAST iterations: 25 (autodetect)
[04:55:07 -300443.682178] Model parameter optimization (eps = 3.000000)
[04:55:33 -298984.193830] FAST spr round 1 (radius: 25)
[04:56:52 -255250.384698] FAST spr round 2 (radius: 25)
[04:57:56 -251100.824479] FAST spr round 3 (radius: 25)
[04:58:47 -250878.246012] FAST spr round 4 (radius: 25)
[04:59:32 -250877.204366] FAST spr round 5 (radius: 25)
[05:00:15 -250877.179765] Model parameter optimization (eps = 1.000000)
[05:00:27 -250856.485294] SLOW spr round 1 (radius: 5)
[05:01:28 -250798.201143] SLOW spr round 2 (radius: 5)
[05:02:28 -250797.404622] SLOW spr round 3 (radius: 5)
[05:03:26 -250797.403889] SLOW spr round 4 (radius: 10)
[05:04:31 -250793.037948] SLOW spr round 5 (radius: 5)
[05:05:50 -250787.379508] SLOW spr round 6 (radius: 5)
[05:06:56 -250787.378438] SLOW spr round 7 (radius: 10)
[05:08:03 -250787.378158] SLOW spr round 8 (radius: 15)
[05:10:00 -250785.191087] SLOW spr round 9 (radius: 5)
[05:11:22 -250785.190938] SLOW spr round 10 (radius: 10)
[05:12:36 -250785.190833] SLOW spr round 11 (radius: 15)
[05:14:22 -250785.190753] SLOW spr round 12 (radius: 20)
[05:17:08 -250783.578743] SLOW spr round 13 (radius: 5)
[05:18:26 -250782.709327] SLOW spr round 14 (radius: 5)
[05:19:31 -250781.693964] SLOW spr round 15 (radius: 5)
[05:20:29 -250781.693898] SLOW spr round 16 (radius: 10)
[05:21:28 -250781.693894] SLOW spr round 17 (radius: 15)
[05:23:14 -250781.693890] SLOW spr round 18 (radius: 20)
[05:26:00 -250781.693887] SLOW spr round 19 (radius: 25)
[05:29:07 -250781.693885] Model parameter optimization (eps = 0.100000)

[05:29:15] ML tree search #11, logLikelihood: -250781.109424

[05:29:15 -883841.991607] Initial branch length optimization
[05:29:18 -678087.882309] Model parameter optimization (eps = 10.000000)
[05:29:46 -674746.366302] AUTODETECT spr round 1 (radius: 5)
[05:30:38 -497409.997254] AUTODETECT spr round 2 (radius: 10)
[05:31:31 -398632.323969] AUTODETECT spr round 3 (radius: 15)
[05:32:37 -318472.572389] AUTODETECT spr round 4 (radius: 20)
[05:33:57 -292982.621325] AUTODETECT spr round 5 (radius: 25)
[05:35:40 -292030.401012] SPR radius for FAST iterations: 25 (autodetect)
[05:35:40 -292030.401012] Model parameter optimization (eps = 3.000000)
[05:36:00 -290658.420171] FAST spr round 1 (radius: 25)
[05:37:09 -254203.237130] FAST spr round 2 (radius: 25)
[05:38:01 -250882.005397] FAST spr round 3 (radius: 25)
[05:38:46 -250849.212218] FAST spr round 4 (radius: 25)
[05:39:26 -250841.127683] FAST spr round 5 (radius: 25)
[05:40:05 -250841.127610] Model parameter optimization (eps = 1.000000)
[05:40:14 -250833.432292] SLOW spr round 1 (radius: 5)
[05:41:08 -250786.511546] SLOW spr round 2 (radius: 5)
[05:42:03 -250785.521942] SLOW spr round 3 (radius: 5)
[05:42:56 -250785.519946] SLOW spr round 4 (radius: 10)
[05:43:55 -250785.519329] SLOW spr round 5 (radius: 15)
[05:45:44 -250782.687633] SLOW spr round 6 (radius: 5)
[05:47:00 -250781.529567] SLOW spr round 7 (radius: 5)
[05:48:04 -250781.529550] SLOW spr round 8 (radius: 10)
[05:49:07 -250781.529542] SLOW spr round 9 (radius: 15)
[05:50:55 -250781.529536] SLOW spr round 10 (radius: 20)
[05:53:45 -250781.529531] SLOW spr round 11 (radius: 25)
[05:56:58 -250781.529527] Model parameter optimization (eps = 0.100000)

[05:57:02] ML tree search #12, logLikelihood: -250781.410054

[05:57:02 -892765.563925] Initial branch length optimization
[05:57:05 -682308.655045] Model parameter optimization (eps = 10.000000)
[05:57:35 -678838.428537] AUTODETECT spr round 1 (radius: 5)
[05:58:26 -501216.505691] AUTODETECT spr round 2 (radius: 10)
[05:59:21 -379937.159993] AUTODETECT spr round 3 (radius: 15)
[06:00:19 -311001.423397] AUTODETECT spr round 4 (radius: 20)
[06:01:33 -290865.974025] AUTODETECT spr round 5 (radius: 25)
[06:03:07 -286827.424892] SPR radius for FAST iterations: 25 (autodetect)
[06:03:07 -286827.424892] Model parameter optimization (eps = 3.000000)
[06:03:29 -285333.022325] FAST spr round 1 (radius: 25)
[06:04:37 -252108.221505] FAST spr round 2 (radius: 25)
[06:05:26 -250882.374315] FAST spr round 3 (radius: 25)
[06:06:11 -250843.701086] FAST spr round 4 (radius: 25)
[06:06:51 -250843.496739] FAST spr round 5 (radius: 25)
[06:07:29 -250843.495807] Model parameter optimization (eps = 1.000000)
[06:07:39 -250836.565037] SLOW spr round 1 (radius: 5)
[06:08:33 -250789.417460] SLOW spr round 2 (radius: 5)
[06:09:25 -250789.416053] SLOW spr round 3 (radius: 10)
[06:10:24 -250782.309963] SLOW spr round 4 (radius: 5)
[06:11:34 -250782.308335] SLOW spr round 5 (radius: 10)
[06:12:38 -250782.307853] SLOW spr round 6 (radius: 15)
[06:14:23 -250782.307376] SLOW spr round 7 (radius: 20)
[06:17:14 -250782.306901] SLOW spr round 8 (radius: 25)
[06:20:27 -250782.306427] Model parameter optimization (eps = 0.100000)

[06:20:31] ML tree search #13, logLikelihood: -250782.233335

[06:20:31 -891165.315618] Initial branch length optimization
[06:20:35 -677611.335909] Model parameter optimization (eps = 10.000000)
[06:21:10 -674341.228168] AUTODETECT spr round 1 (radius: 5)
[06:22:00 -514459.013062] AUTODETECT spr round 2 (radius: 10)
[06:22:56 -382897.884652] AUTODETECT spr round 3 (radius: 15)
[06:23:59 -326955.769819] AUTODETECT spr round 4 (radius: 20)
[06:25:16 -295803.433080] AUTODETECT spr round 5 (radius: 25)
[06:26:51 -289493.329942] SPR radius for FAST iterations: 25 (autodetect)
[06:26:51 -289493.329942] Model parameter optimization (eps = 3.000000)
[06:27:14 -288222.182837] FAST spr round 1 (radius: 25)
[06:28:32 -253015.314247] FAST spr round 2 (radius: 25)
[06:29:32 -250953.281547] FAST spr round 3 (radius: 25)
[06:30:21 -250867.247968] FAST spr round 4 (radius: 25)
[06:31:02 -250862.970671] FAST spr round 5 (radius: 25)
[06:31:41 -250862.955942] Model parameter optimization (eps = 1.000000)
[06:31:51 -250843.934510] SLOW spr round 1 (radius: 5)
[06:32:48 -250788.367075] SLOW spr round 2 (radius: 5)
[06:33:42 -250787.979524] SLOW spr round 3 (radius: 5)
[06:34:35 -250787.979044] SLOW spr round 4 (radius: 10)
[06:35:34 -250787.978832] SLOW spr round 5 (radius: 15)
[06:37:22 -250787.955603] SLOW spr round 6 (radius: 20)
[06:40:12 -250786.342835] SLOW spr round 7 (radius: 5)
[06:41:29 -250785.473246] SLOW spr round 8 (radius: 5)
[06:42:34 -250784.457038] SLOW spr round 9 (radius: 5)
[06:43:32 -250784.456926] SLOW spr round 10 (radius: 10)
[06:44:31 -250784.456879] SLOW spr round 11 (radius: 15)
[06:46:20 -250784.456838] SLOW spr round 12 (radius: 20)
[06:49:09 -250784.456479] SLOW spr round 13 (radius: 25)
[06:52:24 -250784.456445] Model parameter optimization (eps = 0.100000)

[06:52:30] ML tree search #14, logLikelihood: -250784.213241

[06:52:30 -892403.813506] Initial branch length optimization
[06:52:33 -682145.324069] Model parameter optimization (eps = 10.000000)
[06:53:04 -678730.564655] AUTODETECT spr round 1 (radius: 5)
[06:53:53 -510018.078111] AUTODETECT spr round 2 (radius: 10)
[06:54:49 -410655.661277] AUTODETECT spr round 3 (radius: 15)
[06:55:52 -336130.775211] AUTODETECT spr round 4 (radius: 20)
[06:57:07 -311809.093097] AUTODETECT spr round 5 (radius: 25)
[06:58:51 -301406.462246] SPR radius for FAST iterations: 25 (autodetect)
[06:58:51 -301406.462246] Model parameter optimization (eps = 3.000000)
[06:59:17 -300031.968823] FAST spr round 1 (radius: 25)
[07:00:28 -254814.291350] FAST spr round 2 (radius: 25)
[07:01:17 -250961.212774] FAST spr round 3 (radius: 25)
[07:02:02 -250870.114629] FAST spr round 4 (radius: 25)
[07:02:43 -250852.115345] FAST spr round 5 (radius: 25)
[07:03:22 -250849.091493] FAST spr round 6 (radius: 25)
[07:04:00 -250849.090915] Model parameter optimization (eps = 1.000000)
[07:04:11 -250829.450406] SLOW spr round 1 (radius: 5)
[07:05:05 -250788.967733] SLOW spr round 2 (radius: 5)
[07:06:00 -250784.930594] SLOW spr round 3 (radius: 5)
[07:06:52 -250784.874930] SLOW spr round 4 (radius: 10)
[07:07:50 -250784.873360] SLOW spr round 5 (radius: 15)
[07:09:41 -250784.872643] SLOW spr round 6 (radius: 20)
[07:12:36 -250784.872104] SLOW spr round 7 (radius: 25)
[07:15:55 -250784.871695] Model parameter optimization (eps = 0.100000)

[07:15:58] ML tree search #15, logLikelihood: -250784.860957

[07:15:58 -902351.488160] Initial branch length optimization
[07:16:01 -690444.648381] Model parameter optimization (eps = 10.000000)
[07:16:36 -686896.058552] AUTODETECT spr round 1 (radius: 5)
[07:17:26 -520387.404464] AUTODETECT spr round 2 (radius: 10)
[07:18:21 -403053.095272] AUTODETECT spr round 3 (radius: 15)
[07:19:26 -317877.135496] AUTODETECT spr round 4 (radius: 20)
[07:20:36 -302135.258806] AUTODETECT spr round 5 (radius: 25)
[07:22:09 -288676.021276] SPR radius for FAST iterations: 25 (autodetect)
[07:22:09 -288676.021276] Model parameter optimization (eps = 3.000000)
[07:22:34 -286916.032991] FAST spr round 1 (radius: 25)
[07:23:50 -252355.196810] FAST spr round 2 (radius: 25)
[07:24:51 -251094.359711] FAST spr round 3 (radius: 25)
[07:25:38 -250835.845012] FAST spr round 4 (radius: 25)
[07:26:18 -250835.418847] FAST spr round 5 (radius: 25)
[07:26:57 -250835.417823] Model parameter optimization (eps = 1.000000)
[07:27:07 -250827.204334] SLOW spr round 1 (radius: 5)
[07:28:04 -250789.129780] SLOW spr round 2 (radius: 5)
[07:28:58 -250785.169205] SLOW spr round 3 (radius: 5)
[07:29:50 -250785.167817] SLOW spr round 4 (radius: 10)
[07:30:49 -250785.167295] SLOW spr round 5 (radius: 15)
[07:32:40 -250784.730492] SLOW spr round 6 (radius: 5)
[07:33:56 -250784.705854] SLOW spr round 7 (radius: 10)
[07:35:05 -250784.705830] SLOW spr round 8 (radius: 15)
[07:36:52 -250784.705819] SLOW spr round 9 (radius: 20)
[07:39:44 -250784.705809] SLOW spr round 10 (radius: 25)
[07:43:00 -250784.705801] Model parameter optimization (eps = 0.100000)

[07:43:03] ML tree search #16, logLikelihood: -250784.697923

[07:43:03 -888353.896517] Initial branch length optimization
[07:43:06 -681741.816486] Model parameter optimization (eps = 10.000000)
[07:43:39 -678315.645057] AUTODETECT spr round 1 (radius: 5)
[07:44:29 -495728.912514] AUTODETECT spr round 2 (radius: 10)
[07:45:24 -387171.678584] AUTODETECT spr round 3 (radius: 15)
[07:46:30 -336266.119569] AUTODETECT spr round 4 (radius: 20)
[07:47:45 -310327.877070] AUTODETECT spr round 5 (radius: 25)
[07:49:07 -305067.284239] SPR radius for FAST iterations: 25 (autodetect)
[07:49:07 -305067.284239] Model parameter optimization (eps = 3.000000)
[07:49:29 -303469.646577] FAST spr round 1 (radius: 25)
[07:50:40 -256170.944554] FAST spr round 2 (radius: 25)
[07:51:32 -251121.088124] FAST spr round 3 (radius: 25)
[07:52:17 -250887.455357] FAST spr round 4 (radius: 25)
[07:52:58 -250886.629434] FAST spr round 5 (radius: 25)
[07:53:36 -250886.628716] Model parameter optimization (eps = 1.000000)
[07:53:46 -250866.869541] SLOW spr round 1 (radius: 5)
[07:54:39 -250787.097709] SLOW spr round 2 (radius: 5)
[07:55:34 -250785.623846] SLOW spr round 3 (radius: 5)
[07:56:27 -250785.622873] SLOW spr round 4 (radius: 10)
[07:57:25 -250785.622249] SLOW spr round 5 (radius: 15)
[07:59:13 -250785.621640] SLOW spr round 6 (radius: 20)
[08:02:00 -250785.621038] SLOW spr round 7 (radius: 25)
[08:05:13 -250785.620442] Model parameter optimization (eps = 0.100000)

[08:05:22] ML tree search #17, logLikelihood: -250784.615321

[08:05:22 -879305.126234] Initial branch length optimization
[08:05:25 -679110.996991] Model parameter optimization (eps = 10.000000)
[08:05:56 -675764.020606] AUTODETECT spr round 1 (radius: 5)
[08:06:46 -518349.328567] AUTODETECT spr round 2 (radius: 10)
[08:07:41 -414155.164926] AUTODETECT spr round 3 (radius: 15)
[08:08:41 -375861.239497] AUTODETECT spr round 4 (radius: 20)
[08:09:54 -326747.290071] AUTODETECT spr round 5 (radius: 25)
[08:11:18 -295157.998831] SPR radius for FAST iterations: 25 (autodetect)
[08:11:18 -295157.998831] Model parameter optimization (eps = 3.000000)
[08:11:41 -293651.452544] FAST spr round 1 (radius: 25)
[08:12:48 -254851.318687] FAST spr round 2 (radius: 25)
[08:13:40 -253152.519077] FAST spr round 3 (radius: 25)
[08:14:25 -250882.490840] FAST spr round 4 (radius: 25)
[08:15:07 -250866.923756] FAST spr round 5 (radius: 25)
[08:15:46 -250866.914652] Model parameter optimization (eps = 1.000000)
[08:15:56 -250856.171817] SLOW spr round 1 (radius: 5)
[08:16:50 -250784.754214] SLOW spr round 2 (radius: 5)
[08:17:45 -250783.077407] SLOW spr round 3 (radius: 5)
[08:18:38 -250783.076510] SLOW spr round 4 (radius: 10)
[08:19:37 -250783.076273] SLOW spr round 5 (radius: 15)
[08:21:24 -250783.054156] SLOW spr round 6 (radius: 20)
[08:24:12 -250783.053904] SLOW spr round 7 (radius: 25)
[08:27:29 -250783.053699] Model parameter optimization (eps = 0.100000)

[08:27:34] ML tree search #18, logLikelihood: -250782.859624

[08:27:34 -893089.615687] Initial branch length optimization
[08:27:37 -676524.047114] Model parameter optimization (eps = 10.000000)
[08:28:10 -673357.176813] AUTODETECT spr round 1 (radius: 5)
[08:29:04 -511246.975150] AUTODETECT spr round 2 (radius: 10)
[08:29:59 -392779.435748] AUTODETECT spr round 3 (radius: 15)
[08:31:05 -321854.682254] AUTODETECT spr round 4 (radius: 20)
[08:32:26 -287926.035044] AUTODETECT spr round 5 (radius: 25)
[08:34:16 -286074.521612] SPR radius for FAST iterations: 25 (autodetect)
[08:34:16 -286074.521612] Model parameter optimization (eps = 3.000000)
[08:34:42 -284856.379482] FAST spr round 1 (radius: 25)
[08:35:49 -252742.248379] FAST spr round 2 (radius: 25)
[08:36:41 -250988.548448] FAST spr round 3 (radius: 25)
[08:37:31 -250922.830371] FAST spr round 4 (radius: 25)
[08:38:15 -250912.712273] FAST spr round 5 (radius: 25)
[08:38:56 -250912.711683] Model parameter optimization (eps = 1.000000)
[08:39:09 -250895.057523] SLOW spr round 1 (radius: 5)
[08:40:06 -250829.623120] SLOW spr round 2 (radius: 5)
[08:41:05 -250824.196425] SLOW spr round 3 (radius: 5)
[08:42:01 -250824.195364] SLOW spr round 4 (radius: 10)
[08:43:03 -250823.860278] SLOW spr round 5 (radius: 5)
[08:44:16 -250823.859716] SLOW spr round 6 (radius: 10)
[08:45:24 -250823.859267] SLOW spr round 7 (radius: 15)
[08:47:10 -250823.858904] SLOW spr round 8 (radius: 20)
[08:49:46 -250823.858606] SLOW spr round 9 (radius: 25)
[08:52:42 -250823.858359] Model parameter optimization (eps = 0.100000)

[08:52:48] ML tree search #19, logLikelihood: -250823.738450

[08:52:48 -897556.018617] Initial branch length optimization
[08:52:51 -693576.301059] Model parameter optimization (eps = 10.000000)
[08:53:30 -689843.201619] AUTODETECT spr round 1 (radius: 5)
[08:54:23 -511794.521516] AUTODETECT spr round 2 (radius: 10)
[08:55:19 -409083.668358] AUTODETECT spr round 3 (radius: 15)
[08:56:28 -318608.375316] AUTODETECT spr round 4 (radius: 20)
[08:57:45 -296756.591911] AUTODETECT spr round 5 (radius: 25)
[08:59:17 -295782.338629] SPR radius for FAST iterations: 25 (autodetect)
[08:59:17 -295782.338629] Model parameter optimization (eps = 3.000000)
[08:59:44 -293698.526609] FAST spr round 1 (radius: 25)
[09:01:00 -252878.007459] FAST spr round 2 (radius: 25)
[09:01:58 -250932.998313] FAST spr round 3 (radius: 25)
[09:02:48 -250852.186390] FAST spr round 4 (radius: 25)
[09:03:31 -250852.185355] Model parameter optimization (eps = 1.000000)
[09:03:41 -250836.864562] SLOW spr round 1 (radius: 5)
[09:04:39 -250785.526987] SLOW spr round 2 (radius: 5)
[09:05:36 -250784.939655] SLOW spr round 3 (radius: 5)
[09:06:31 -250784.939443] SLOW spr round 4 (radius: 10)
[09:07:33 -250784.939355] SLOW spr round 5 (radius: 15)
[09:09:28 -250784.502563] SLOW spr round 6 (radius: 5)
[09:10:47 -250784.479483] SLOW spr round 7 (radius: 10)
[09:12:01 -250784.479463] SLOW spr round 8 (radius: 15)
[09:13:51 -250784.479450] SLOW spr round 9 (radius: 20)
[09:16:53 -250784.479121] SLOW spr round 10 (radius: 25)
[09:20:15 -250784.479112] Model parameter optimization (eps = 0.100000)

[09:20:18] ML tree search #20, logLikelihood: -250784.424611


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.168211,0.442288) (0.141669,0.482417) (0.338315,0.745784) (0.351805,1.719558) 
   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: -250780.480634

AIC score: 503862.961268 / AICc score: 538756.434952 / BIC score: 509748.187835
Free parameters (model + branch lengths): 1151

Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8WVM7/3_mltree/Q8WVM7.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8WVM7/3_mltree/Q8WVM7.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8WVM7/3_mltree/Q8WVM7.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8WVM7/3_mltree/Q8WVM7.raxml.log

Analysis started: 15-Jul-2021 05:20:39 / finished: 15-Jul-2021 14:40:58

Elapsed time: 33618.790 seconds

Consumed energy: 3030.655 Wh (= 15 km in an electric car, or 76 km with an e-scooter!)