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 01-Jul-2021 00:21:49 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A6NM11/2_msa/A6NM11_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A6NM11/3_mltree/A6NM11 --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/A6NM11/2_msa/A6NM11_trimmed_msa.fasta
[00:00:00] Loaded alignment with 444 taxa and 78 sites

WARNING: Sequences tr_E1C726_E1C726_CHICK_9031 and tr_G1NAM0_G1NAM0_MELGA_9103 are exactly identical!
WARNING: Sequences tr_E1C726_E1C726_CHICK_9031 and tr_A0A226NKT3_A0A226NKT3_CALSU_9009 are exactly identical!
WARNING: Sequences tr_E1C726_E1C726_CHICK_9031 and tr_A0A226PN74_A0A226PN74_COLVI_9014 are exactly identical!
WARNING: Sequences tr_M3YF31_M3YF31_MUSPF_9669 and tr_A0A2Y9J0W5_A0A2Y9J0W5_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_C3XWM8_C3XWM8_BRAFL_7739 and tr_C3XWM9_C3XWM9_BRAFL_7739 are exactly identical!
WARNING: Sequences tr_G1NAX4_G1NAX4_MELGA_9103 and tr_A0A0Q3XBW6_A0A0Q3XBW6_AMAAE_12930 are exactly identical!
WARNING: Sequences tr_G1SHR9_G1SHR9_RABIT_9986 and tr_G1SR40_G1SR40_RABIT_9986 are exactly identical!
WARNING: Sequences tr_A0A2I3SVZ3_A0A2I3SVZ3_PANTR_9598 and tr_A0A0G2JMZ2_A0A0G2JMZ2_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2I3SVZ3_A0A2I3SVZ3_PANTR_9598 and sp_A6NM11_L37A2_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2I3SVZ3_A0A2I3SVZ3_PANTR_9598 and sp_A6NMS7_L37A1_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A158NMQ5_A0A158NMQ5_ATTCE_12957 and tr_A0A151I134_A0A151I134_9HYME_520822 are exactly identical!
WARNING: Sequences tr_A0A1D5QSS6_A0A1D5QSS6_MACMU_9544 and tr_A0A2I3LU62_A0A2I3LU62_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A1D5QSS6_A0A1D5QSS6_MACMU_9544 and tr_A0A0D9QUR4_A0A0D9QUR4_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_F7CED7_F7CED7_MACMU_9544 and tr_A0A0D9QUW1_A0A0D9QUW1_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_F7CED7_F7CED7_MACMU_9544 and tr_A0A2K6B302_A0A2K6B302_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7EEM4_F7EEM4_MACMU_9544 and tr_A0A096NQS8_A0A096NQS8_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F7EEM4_F7EEM4_MACMU_9544 and tr_A0A2K5P514_A0A2K5P514_CERAT_9531 are exactly identical!
WARNING: Sequences tr_I0FP13_I0FP13_MACMU_9544 and tr_A0A096N9K5_A0A096N9K5_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_I0FP13_I0FP13_MACMU_9544 and tr_A0A2K5KJK0_A0A2K5KJK0_CERAT_9531 are exactly identical!
WARNING: Sequences tr_I0FP13_I0FP13_MACMU_9544 and tr_A0A2K6AZW6_A0A2K6AZW6_MACNE_9545 are exactly identical!
WARNING: Sequences tr_I0FP13_I0FP13_MACMU_9544 and tr_A0A2K5XLN3_A0A2K5XLN3_MANLE_9568 are exactly identical!
WARNING: Sequences tr_E3MCX8_E3MCX8_CAERE_31234 and tr_A0A261BM18_A0A261BM18_9PELO_1503980 are exactly identical!
WARNING: Sequences tr_A0A151MKF4_A0A151MKF4_ALLMI_8496 and tr_A0A1U7RQW2_A0A1U7RQW2_ALLSI_38654 are exactly identical!
WARNING: Sequences tr_A0A151N6H3_A0A151N6H3_ALLMI_8496 and tr_A0A1U7S8B3_A0A1U7S8B3_ALLSI_38654 are exactly identical!
WARNING: Sequences tr_A0A1V4KUU0_A0A1V4KUU0_PATFA_372326 and tr_A0A226MY74_A0A226MY74_CALSU_9009 are exactly identical!
WARNING: Sequences tr_A0A1V4KUU0_A0A1V4KUU0_PATFA_372326 and tr_A0A226P4G6_A0A226P4G6_COLVI_9014 are exactly identical!
WARNING: Sequences tr_A0A2K6D0T1_A0A2K6D0T1_MACNE_9545 and tr_A0A2K6A6X7_A0A2K6A6X7_MANLE_9568 are exactly identical!
WARNING: Duplicate sequences found: 27

NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) 
NOTE: was saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A6NM11/3_mltree/A6NM11.raxml.reduced.phy

Alignment comprises 1 partitions and 78 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 78 / 78
Gaps: 22.24 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A6NM11/3_mltree/A6NM11.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 444 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 78 / 6240
[00:00:00] Data distribution: max. searches per worker: 10

Starting ML tree search with 20 distinct starting trees

[00:00:00 -59503.351225] Initial branch length optimization
[00:00:00 -47085.568921] Model parameter optimization (eps = 10.000000)
[00:00:08 -46906.730147] AUTODETECT spr round 1 (radius: 5)
[00:00:26 -40456.147530] AUTODETECT spr round 2 (radius: 10)
[00:00:47 -35405.930957] AUTODETECT spr round 3 (radius: 15)
[00:01:16 -30954.805784] AUTODETECT spr round 4 (radius: 20)
[00:01:49 -29408.063132] AUTODETECT spr round 5 (radius: 25)
[00:02:19 -29075.162354] SPR radius for FAST iterations: 25 (autodetect)
[00:02:19 -29075.162354] Model parameter optimization (eps = 3.000000)
[00:02:27 -28971.409580] FAST spr round 1 (radius: 25)
[00:03:00 -27449.312554] FAST spr round 2 (radius: 25)
[00:03:25 -27242.467191] FAST spr round 3 (radius: 25)
[00:03:46 -27224.098973] FAST spr round 4 (radius: 25)
[00:04:05 -27221.064807] FAST spr round 5 (radius: 25)
[00:04:22 -27221.064183] Model parameter optimization (eps = 1.000000)
[00:04:28 -27216.570076] SLOW spr round 1 (radius: 5)
[00:04:52 -27208.718934] SLOW spr round 2 (radius: 5)
[00:05:15 -27208.718323] SLOW spr round 3 (radius: 10)
[00:05:40 -27206.596753] SLOW spr round 4 (radius: 5)
[00:06:09 -27206.562516] SLOW spr round 5 (radius: 10)
[00:06:39 -27204.955712] SLOW spr round 6 (radius: 5)
[00:07:09 -27204.739739] SLOW spr round 7 (radius: 5)
[00:07:34 -27204.738178] SLOW spr round 8 (radius: 10)
[00:08:01 -27203.666292] SLOW spr round 9 (radius: 5)
[00:08:29 -27203.666279] SLOW spr round 10 (radius: 10)
[00:08:58 -27203.666278] SLOW spr round 11 (radius: 15)
[00:09:43 -27203.666278] SLOW spr round 12 (radius: 20)
[00:10:35 -27200.567290] SLOW spr round 13 (radius: 5)
[00:11:06 -27199.633159] SLOW spr round 14 (radius: 5)
[00:11:33 -27199.632071] SLOW spr round 15 (radius: 10)
[00:12:01 -27199.631959] SLOW spr round 16 (radius: 15)
[00:12:46 -27197.179521] SLOW spr round 17 (radius: 5)
[00:13:16 -27191.651164] SLOW spr round 18 (radius: 5)
[00:13:43 -27191.649138] SLOW spr round 19 (radius: 10)
[00:14:10 -27191.648477] SLOW spr round 20 (radius: 15)
[00:14:55 -27191.648214] SLOW spr round 21 (radius: 20)
[00:15:48 -27191.204435] SLOW spr round 22 (radius: 5)
[00:16:18 -27191.101198] SLOW spr round 23 (radius: 5)
[00:16:44 -27191.101162] SLOW spr round 24 (radius: 10)
[00:17:11 -27190.840666] SLOW spr round 25 (radius: 5)
[00:17:40 -27190.533631] SLOW spr round 26 (radius: 5)
[00:18:05 -27190.532962] SLOW spr round 27 (radius: 10)
[00:18:31 -27190.532911] SLOW spr round 28 (radius: 15)
[00:19:18 -27190.532907] SLOW spr round 29 (radius: 20)
[00:20:09 -27190.492238] SLOW spr round 30 (radius: 25)
[00:21:00 -27189.546194] SLOW spr round 31 (radius: 5)
[00:21:30 -27189.181294] SLOW spr round 32 (radius: 5)
[00:21:57 -27189.177845] SLOW spr round 33 (radius: 10)
[00:22:24 -27189.176869] SLOW spr round 34 (radius: 15)
[00:23:09 -27188.652796] SLOW spr round 35 (radius: 5)
[00:23:38 -27188.651664] SLOW spr round 36 (radius: 10)
[00:24:08 -27188.651373] SLOW spr round 37 (radius: 15)
[00:24:51 -27188.651271] SLOW spr round 38 (radius: 20)
[00:25:17] [worker #1] ML tree search #2, logLikelihood: -27227.319359
[00:25:45 -27188.651235] SLOW spr round 39 (radius: 25)
[00:26:35 -27188.651222] Model parameter optimization (eps = 0.100000)

[00:26:40] [worker #0] ML tree search #1, logLikelihood: -27188.417380

[00:26:40 -58998.822294] Initial branch length optimization
[00:26:40 -47176.182408] Model parameter optimization (eps = 10.000000)
[00:26:49 -46999.033916] AUTODETECT spr round 1 (radius: 5)
[00:27:07 -41205.158020] AUTODETECT spr round 2 (radius: 10)
[00:27:29 -34250.266507] AUTODETECT spr round 3 (radius: 15)
[00:27:57 -29836.721903] AUTODETECT spr round 4 (radius: 20)
[00:28:30 -29311.492297] AUTODETECT spr round 5 (radius: 25)
[00:29:03 -29082.371452] SPR radius for FAST iterations: 25 (autodetect)
[00:29:03 -29082.371452] Model parameter optimization (eps = 3.000000)
[00:29:11 -28989.871030] FAST spr round 1 (radius: 25)
[00:29:46 -27380.050712] FAST spr round 2 (radius: 25)
[00:30:13 -27257.586451] FAST spr round 3 (radius: 25)
[00:30:34 -27240.358371] FAST spr round 4 (radius: 25)
[00:30:54 -27233.847780] FAST spr round 5 (radius: 25)
[00:31:11 -27233.847238] Model parameter optimization (eps = 1.000000)
[00:31:18 -27226.117005] SLOW spr round 1 (radius: 5)
[00:31:42 -27215.789960] SLOW spr round 2 (radius: 5)
[00:32:07 -27213.528494] SLOW spr round 3 (radius: 5)
[00:32:31 -27212.800427] SLOW spr round 4 (radius: 5)
[00:32:54 -27212.799965] SLOW spr round 5 (radius: 10)
[00:33:20 -27210.209699] SLOW spr round 6 (radius: 5)
[00:33:50 -27210.207199] SLOW spr round 7 (radius: 10)
[00:34:21 -27210.206809] SLOW spr round 8 (radius: 15)
[00:35:13 -27206.244441] SLOW spr round 9 (radius: 5)
[00:35:44 -27203.870187] SLOW spr round 10 (radius: 5)
[00:36:10 -27203.869579] SLOW spr round 11 (radius: 10)
[00:36:39 -27203.869366] SLOW spr round 12 (radius: 15)
[00:37:33 -27193.154075] SLOW spr round 13 (radius: 5)
[00:38:04 -27191.914782] SLOW spr round 14 (radius: 5)
[00:38:31 -27191.914382] SLOW spr round 15 (radius: 10)
[00:38:59 -27190.108296] SLOW spr round 16 (radius: 5)
[00:39:28 -27190.106052] SLOW spr round 17 (radius: 10)
[00:39:58 -27190.105497] SLOW spr round 18 (radius: 15)
[00:40:50 -27190.105196] SLOW spr round 19 (radius: 20)
[00:41:45 -27188.766037] SLOW spr round 20 (radius: 5)
[00:42:16 -27188.765811] SLOW spr round 21 (radius: 10)
[00:42:51 -27188.765622] SLOW spr round 22 (radius: 15)
[00:43:42 -27188.765449] SLOW spr round 23 (radius: 20)
[00:44:37 -27188.765291] SLOW spr round 24 (radius: 25)
[00:45:33 -27188.421038] SLOW spr round 25 (radius: 5)
[00:46:04 -27188.420880] SLOW spr round 26 (radius: 10)
[00:46:40 -27188.420758] SLOW spr round 27 (radius: 15)
[00:47:31 -27188.420649] SLOW spr round 28 (radius: 20)
[00:48:22] [worker #1] ML tree search #4, logLikelihood: -27196.726508
[00:48:26 -27188.420550] SLOW spr round 29 (radius: 25)
[00:49:22 -27188.420460] Model parameter optimization (eps = 0.100000)

[00:49:30] [worker #0] ML tree search #3, logLikelihood: -27187.489576

[00:49:30 -59085.862765] Initial branch length optimization
[00:49:30 -47195.047237] Model parameter optimization (eps = 10.000000)
[00:49:40 -47026.677732] AUTODETECT spr round 1 (radius: 5)
[00:49:58 -40021.178919] AUTODETECT spr round 2 (radius: 10)
[00:50:19 -36055.332378] AUTODETECT spr round 3 (radius: 15)
[00:50:46 -33113.939432] AUTODETECT spr round 4 (radius: 20)
[00:51:19 -29785.503361] AUTODETECT spr round 5 (radius: 25)
[00:51:53 -29312.477496] SPR radius for FAST iterations: 25 (autodetect)
[00:51:53 -29312.477496] Model parameter optimization (eps = 3.000000)
[00:52:02 -29196.939093] FAST spr round 1 (radius: 25)
[00:52:35 -27410.316893] FAST spr round 2 (radius: 25)
[00:53:01 -27265.233364] FAST spr round 3 (radius: 25)
[00:53:22 -27241.635858] FAST spr round 4 (radius: 25)
[00:53:42 -27236.093516] FAST spr round 5 (radius: 25)
[00:54:00 -27234.711732] FAST spr round 6 (radius: 25)
[00:54:17 -27234.131101] FAST spr round 7 (radius: 25)
[00:54:34 -27234.129970] Model parameter optimization (eps = 1.000000)
[00:54:40 -27228.532341] SLOW spr round 1 (radius: 5)
[00:55:03 -27215.197623] SLOW spr round 2 (radius: 5)
[00:55:27 -27212.782012] SLOW spr round 3 (radius: 5)
[00:55:51 -27212.781933] SLOW spr round 4 (radius: 10)
[00:56:17 -27210.105512] SLOW spr round 5 (radius: 5)
[00:56:47 -27210.104644] SLOW spr round 6 (radius: 10)
[00:57:18 -27210.104607] SLOW spr round 7 (radius: 15)
[00:58:04 -27209.313683] SLOW spr round 8 (radius: 5)
[00:58:35 -27209.273342] SLOW spr round 9 (radius: 10)
[00:59:08 -27208.431757] SLOW spr round 10 (radius: 5)
[00:59:38 -27207.780822] SLOW spr round 11 (radius: 5)
[01:00:04 -27207.780779] SLOW spr round 12 (radius: 10)
[01:00:33 -27207.560977] SLOW spr round 13 (radius: 5)
[01:01:02 -27207.431394] SLOW spr round 14 (radius: 5)
[01:01:28 -27207.430884] SLOW spr round 15 (radius: 10)
[01:01:56 -27207.430871] SLOW spr round 16 (radius: 15)
[01:02:45 -27206.824025] SLOW spr round 17 (radius: 5)
[01:03:16 -27205.527462] SLOW spr round 18 (radius: 5)
[01:03:43 -27205.527296] SLOW spr round 19 (radius: 10)
[01:04:12 -27205.082169] SLOW spr round 20 (radius: 5)
[01:04:41 -27205.081224] SLOW spr round 21 (radius: 10)
[01:05:12 -27205.081201] SLOW spr round 22 (radius: 15)
[01:05:59 -27205.081199] SLOW spr round 23 (radius: 20)
[01:06:50 -27204.315768] SLOW spr round 24 (radius: 5)
[01:07:20 -27204.315755] SLOW spr round 25 (radius: 10)
[01:07:55 -27204.315753] SLOW spr round 26 (radius: 15)
[01:08:42 -27204.315752] SLOW spr round 27 (radius: 20)
[01:09:05] [worker #1] ML tree search #6, logLikelihood: -27177.532092
[01:09:33 -27204.315752] SLOW spr round 28 (radius: 25)
[01:10:21 -27204.296938] Model parameter optimization (eps = 0.100000)

[01:10:25] [worker #0] ML tree search #5, logLikelihood: -27203.835436

[01:10:25 -58646.306691] Initial branch length optimization
[01:10:26 -46983.417160] Model parameter optimization (eps = 10.000000)
[01:10:34 -46821.160840] AUTODETECT spr round 1 (radius: 5)
[01:10:52 -41197.267583] AUTODETECT spr round 2 (radius: 10)
[01:11:14 -34661.834927] AUTODETECT spr round 3 (radius: 15)
[01:11:42 -30311.523976] AUTODETECT spr round 4 (radius: 20)
[01:12:18 -28961.909702] AUTODETECT spr round 5 (radius: 25)
[01:12:52 -28904.852673] SPR radius for FAST iterations: 25 (autodetect)
[01:12:52 -28904.852673] Model parameter optimization (eps = 3.000000)
[01:12:59 -28815.456390] FAST spr round 1 (radius: 25)
[01:13:33 -27383.318951] FAST spr round 2 (radius: 25)
[01:13:58 -27259.514777] FAST spr round 3 (radius: 25)
[01:14:20 -27238.197227] FAST spr round 4 (radius: 25)
[01:14:39 -27226.151957] FAST spr round 5 (radius: 25)
[01:14:57 -27225.435543] FAST spr round 6 (radius: 25)
[01:15:13 -27225.434684] Model parameter optimization (eps = 1.000000)
[01:15:20 -27215.304781] SLOW spr round 1 (radius: 5)
[01:15:44 -27204.895310] SLOW spr round 2 (radius: 5)
[01:16:07 -27200.354423] SLOW spr round 3 (radius: 5)
[01:16:31 -27199.863731] SLOW spr round 4 (radius: 5)
[01:16:54 -27199.863410] SLOW spr round 5 (radius: 10)
[01:17:19 -27196.370794] SLOW spr round 6 (radius: 5)
[01:17:49 -27195.510412] SLOW spr round 7 (radius: 5)
[01:18:17 -27191.721143] SLOW spr round 8 (radius: 5)
[01:18:42 -27191.635730] SLOW spr round 9 (radius: 10)
[01:19:08 -27191.634869] SLOW spr round 10 (radius: 15)
[01:20:03 -27190.202993] SLOW spr round 11 (radius: 5)
[01:20:34 -27186.670984] SLOW spr round 12 (radius: 5)
[01:21:02 -27185.327398] SLOW spr round 13 (radius: 5)
[01:21:26 -27185.325666] SLOW spr round 14 (radius: 10)
[01:21:52 -27185.325039] SLOW spr round 15 (radius: 15)
[01:22:48 -27185.324731] SLOW spr round 16 (radius: 20)
[01:23:41 -27184.714123] SLOW spr round 17 (radius: 5)
[01:24:12 -27184.714020] SLOW spr round 18 (radius: 10)
[01:24:47 -27184.713979] SLOW spr round 19 (radius: 15)
[01:25:38 -27184.713945] SLOW spr round 20 (radius: 20)
[01:26:32 -27184.286522] SLOW spr round 21 (radius: 5)
[01:27:03 -27184.285520] SLOW spr round 22 (radius: 10)
[01:27:37 -27184.285485] SLOW spr round 23 (radius: 15)
[01:28:28 -27184.285463] SLOW spr round 24 (radius: 20)
[01:29:22 -27184.285443] SLOW spr round 25 (radius: 25)
[01:30:19 -27183.983484] SLOW spr round 26 (radius: 5)
[01:30:50 -27183.530981] SLOW spr round 27 (radius: 5)
[01:31:17 -27183.274574] SLOW spr round 28 (radius: 5)
[01:31:42 -27183.274003] SLOW spr round 29 (radius: 10)
[01:32:09 -27183.273661] SLOW spr round 30 (radius: 15)
[01:33:03 -27183.273455] SLOW spr round 31 (radius: 20)
[01:33:56 -27183.273329] SLOW spr round 32 (radius: 25)
[01:34:54 -27183.273250] Model parameter optimization (eps = 0.100000)

[01:34:57] [worker #0] ML tree search #7, logLikelihood: -27182.988162

[01:34:57 -59760.558464] Initial branch length optimization
[01:34:57 -47202.956162] Model parameter optimization (eps = 10.000000)
[01:35:05 -46998.767725] AUTODETECT spr round 1 (radius: 5)
[01:35:23 -40233.842981] AUTODETECT spr round 2 (radius: 10)
[01:35:46 -32886.400947] AUTODETECT spr round 3 (radius: 15)
[01:36:12 -29760.737617] AUTODETECT spr round 4 (radius: 20)
[01:36:48 -29048.358062] AUTODETECT spr round 5 (radius: 25)
[01:37:19 -28847.005447] SPR radius for FAST iterations: 25 (autodetect)
[01:37:19 -28847.005447] Model parameter optimization (eps = 3.000000)
[01:37:27 -28800.471755] FAST spr round 1 (radius: 25)
[01:38:02 -27334.455461] FAST spr round 2 (radius: 25)
[01:38:27 -27250.532868] FAST spr round 3 (radius: 25)
[01:38:48 -27229.018069] FAST spr round 4 (radius: 25)
[01:39:08 -27220.671767] FAST spr round 5 (radius: 25)
[01:39:26 -27216.631245] FAST spr round 6 (radius: 25)
[01:39:43 -27215.995395] FAST spr round 7 (radius: 25)
[01:40:00 -27215.995306] Model parameter optimization (eps = 1.000000)
[01:40:05 -27211.791044] SLOW spr round 1 (radius: 5)
[01:40:30 -27205.504466] SLOW spr round 2 (radius: 5)
[01:40:53 -27203.904947] SLOW spr round 3 (radius: 5)
[01:41:16 -27203.904358] SLOW spr round 4 (radius: 10)
[01:41:42 -27201.799056] SLOW spr round 5 (radius: 5)
[01:42:11 -27201.789421] SLOW spr round 6 (radius: 10)
[01:42:42 -27201.553119] SLOW spr round 7 (radius: 5)
[01:43:11 -27201.547613] SLOW spr round 8 (radius: 10)
[01:43:41 -27201.545437] SLOW spr round 9 (radius: 15)
[01:44:33 -27200.723513] SLOW spr round 10 (radius: 5)
[01:45:05 -27200.619316] SLOW spr round 11 (radius: 5)
[01:45:34 -27200.619267] SLOW spr round 12 (radius: 10)
[01:46:02 -27200.619244] SLOW spr round 13 (radius: 15)
[01:46:56 -27200.619231] SLOW spr round 14 (radius: 20)
[01:47:51 -27199.525163] SLOW spr round 15 (radius: 5)
[01:48:23 -27199.525160] SLOW spr round 16 (radius: 10)
[01:48:58 -27199.525158] SLOW spr round 17 (radius: 15)
[01:49:49 -27199.525156] SLOW spr round 18 (radius: 20)
[01:50:44 -27199.525150] SLOW spr round 19 (radius: 25)
[01:51:29 -27199.525149] Model parameter optimization (eps = 0.100000)

[01:51:33] [worker #0] ML tree search #9, logLikelihood: -27199.435078

[01:51:33 -59316.848776] Initial branch length optimization
[01:51:34 -47291.820808] Model parameter optimization (eps = 10.000000)
[01:51:43 -47132.834732] AUTODETECT spr round 1 (radius: 5)
[01:52:02 -40131.231693] AUTODETECT spr round 2 (radius: 10)
[01:52:25 -33887.328650] AUTODETECT spr round 3 (radius: 15)
[01:52:54 -30361.973157] AUTODETECT spr round 4 (radius: 20)
[01:53:26 -29092.249303] AUTODETECT spr round 5 (radius: 25)
[01:54:01 -28771.947020] SPR radius for FAST iterations: 25 (autodetect)
[01:54:01 -28771.947020] Model parameter optimization (eps = 3.000000)
[01:54:10 -28675.122892] FAST spr round 1 (radius: 25)
[01:54:47 -27351.385671] FAST spr round 2 (radius: 25)
[01:55:14 -27278.745077] FAST spr round 3 (radius: 25)
[01:55:36 -27270.156966] FAST spr round 4 (radius: 25)
[01:55:57 -27266.149470] FAST spr round 5 (radius: 25)
[01:56:16 -27265.700978] FAST spr round 6 (radius: 25)
[01:56:34 -27265.700852] Model parameter optimization (eps = 1.000000)
[01:56:40 -27262.320720] SLOW spr round 1 (radius: 5)
[01:57:05 -27249.109097] SLOW spr round 2 (radius: 5)
[01:57:31 -27248.493803] SLOW spr round 3 (radius: 5)
[01:57:57 -27247.864453] SLOW spr round 4 (radius: 5)
[01:58:22 -27247.863282] SLOW spr round 5 (radius: 10)
[01:58:51 -27240.133243] SLOW spr round 6 (radius: 5)
[01:59:23 -27237.267613] SLOW spr round 7 (radius: 5)
[01:59:50 -27237.263926] SLOW spr round 8 (radius: 10)
[02:00:19 -27235.688415] SLOW spr round 9 (radius: 5)
[02:00:50 -27234.626223] SLOW spr round 10 (radius: 5)
[02:01:18 -27234.490621] SLOW spr round 11 (radius: 5)
[02:01:21] [worker #1] ML tree search #8, logLikelihood: -27171.833341
[02:01:44 -27234.490287] SLOW spr round 12 (radius: 10)
[02:02:12 -27234.415858] SLOW spr round 13 (radius: 15)
[02:03:09 -27231.613149] SLOW spr round 14 (radius: 5)
[02:03:41 -27227.326950] SLOW spr round 15 (radius: 5)
[02:04:10 -27226.387203] SLOW spr round 16 (radius: 5)
[02:04:37 -27224.982079] SLOW spr round 17 (radius: 5)
[02:05:03 -27224.981917] SLOW spr round 18 (radius: 10)
[02:05:31 -27224.678603] SLOW spr round 19 (radius: 5)
[02:06:01 -27224.677156] SLOW spr round 20 (radius: 10)
[02:06:34 -27224.677074] SLOW spr round 21 (radius: 15)
[02:07:28 -27224.344583] SLOW spr round 22 (radius: 5)
[02:08:00 -27223.561932] SLOW spr round 23 (radius: 5)
[02:08:28 -27223.559181] SLOW spr round 24 (radius: 10)
[02:08:58 -27223.558283] SLOW spr round 25 (radius: 15)
[02:09:55 -27223.231296] SLOW spr round 26 (radius: 5)
[02:10:27 -27222.945683] SLOW spr round 27 (radius: 5)
[02:10:56 -27222.752108] SLOW spr round 28 (radius: 5)
[02:11:23 -27222.055101] SLOW spr round 29 (radius: 5)
[02:11:49 -27221.398696] SLOW spr round 30 (radius: 5)
[02:12:13 -27221.396648] SLOW spr round 31 (radius: 10)
[02:12:40 -27221.396148] SLOW spr round 32 (radius: 15)
[02:13:37 -27221.341577] SLOW spr round 33 (radius: 20)
[02:14:32 -27221.145517] SLOW spr round 34 (radius: 5)
[02:15:04 -27221.145288] SLOW spr round 35 (radius: 10)
[02:15:41 -27221.145221] SLOW spr round 36 (radius: 15)
[02:16:34 -27220.661467] SLOW spr round 37 (radius: 5)
[02:17:06 -27220.661413] SLOW spr round 38 (radius: 10)
[02:17:40 -27220.661413] SLOW spr round 39 (radius: 15)
[02:18:34 -27220.661412] SLOW spr round 40 (radius: 20)
[02:19:29 -27212.604985] SLOW spr round 41 (radius: 5)
[02:20:01 -27212.604876] SLOW spr round 42 (radius: 10)
[02:20:38 -27212.604816] SLOW spr round 43 (radius: 15)
[02:21:31 -27212.604763] SLOW spr round 44 (radius: 20)
[02:22:25 -27212.604715] SLOW spr round 45 (radius: 25)
[02:23:16 -27211.004721] SLOW spr round 46 (radius: 5)
[02:23:49 -27211.004678] SLOW spr round 47 (radius: 10)
[02:24:27 -27211.004644] SLOW spr round 48 (radius: 15)
[02:25:21 -27211.004612] SLOW spr round 49 (radius: 20)
[02:26:15 -27211.004584] SLOW spr round 50 (radius: 25)
[02:27:05 -27211.004558] Model parameter optimization (eps = 0.100000)

[02:27:09] [worker #0] ML tree search #11, logLikelihood: -27210.712086

[02:27:09 -59507.149717] Initial branch length optimization
[02:27:09 -47130.782695] Model parameter optimization (eps = 10.000000)
[02:27:17 -46801.743127] AUTODETECT spr round 1 (radius: 5)
[02:27:36 -39857.445373] AUTODETECT spr round 2 (radius: 10)
[02:27:58 -35071.168550] AUTODETECT spr round 3 (radius: 15)
[02:28:07] [worker #1] ML tree search #10, logLikelihood: -27183.324940
[02:28:27 -31889.265018] AUTODETECT spr round 4 (radius: 20)
[02:29:00 -30406.635113] AUTODETECT spr round 5 (radius: 25)
[02:29:31 -29701.822694] SPR radius for FAST iterations: 25 (autodetect)
[02:29:31 -29701.822694] Model parameter optimization (eps = 3.000000)
[02:29:37 -29647.491006] FAST spr round 1 (radius: 25)
[02:30:13 -27440.035335] FAST spr round 2 (radius: 25)
[02:30:40 -27290.722226] FAST spr round 3 (radius: 25)
[02:31:04 -27258.453628] FAST spr round 4 (radius: 25)
[02:31:24 -27254.020234] FAST spr round 5 (radius: 25)
[02:31:43 -27249.256929] FAST spr round 6 (radius: 25)
[02:32:02 -27246.998796] FAST spr round 7 (radius: 25)
[02:32:20 -27246.996125] Model parameter optimization (eps = 1.000000)
[02:32:24 -27236.472988] SLOW spr round 1 (radius: 5)
[02:32:49 -27230.620706] SLOW spr round 2 (radius: 5)
[02:33:15 -27229.656039] SLOW spr round 3 (radius: 5)
[02:33:39 -27229.655578] SLOW spr round 4 (radius: 10)
[02:34:08 -27227.745455] SLOW spr round 5 (radius: 5)
[02:34:39 -27227.473881] SLOW spr round 6 (radius: 5)
[02:35:08 -27227.472879] SLOW spr round 7 (radius: 10)
[02:35:37 -27227.472725] SLOW spr round 8 (radius: 15)
[02:36:34 -27226.706668] SLOW spr round 9 (radius: 5)
[02:37:06 -27226.690475] SLOW spr round 10 (radius: 10)
[02:37:40 -27226.687344] SLOW spr round 11 (radius: 15)
[02:38:35 -27224.755048] SLOW spr round 12 (radius: 5)
[02:39:08 -27223.978619] SLOW spr round 13 (radius: 5)
[02:39:36 -27223.977788] SLOW spr round 14 (radius: 10)
[02:40:05 -27223.977465] SLOW spr round 15 (radius: 15)
[02:41:02 -27223.977332] SLOW spr round 16 (radius: 20)
[02:41:55 -27223.977270] SLOW spr round 17 (radius: 25)
[02:42:43 -27219.878552] SLOW spr round 18 (radius: 5)
[02:43:16 -27219.878229] SLOW spr round 19 (radius: 10)
[02:43:56 -27210.623047] SLOW spr round 20 (radius: 5)
[02:44:27 -27210.124129] SLOW spr round 21 (radius: 5)
[02:44:54 -27210.122244] SLOW spr round 22 (radius: 10)
[02:45:23 -27210.121939] SLOW spr round 23 (radius: 15)
[02:46:20 -27210.121890] SLOW spr round 24 (radius: 20)
[02:47:13 -27210.121875] SLOW spr round 25 (radius: 25)
[02:47:57] [worker #1] ML tree search #12, logLikelihood: -27183.807871
[02:48:01 -27210.121863] Model parameter optimization (eps = 0.100000)

[02:48:04] [worker #0] ML tree search #13, logLikelihood: -27210.040967

[02:48:04 -59367.834973] Initial branch length optimization
[02:48:05 -46950.426628] Model parameter optimization (eps = 10.000000)
[02:48:13 -46805.224156] AUTODETECT spr round 1 (radius: 5)
[02:48:32 -39905.895009] AUTODETECT spr round 2 (radius: 10)
[02:48:55 -33967.339048] AUTODETECT spr round 3 (radius: 15)
[02:49:25 -30172.798281] AUTODETECT spr round 4 (radius: 20)
[02:49:59 -29230.984021] AUTODETECT spr round 5 (radius: 25)
[02:50:31 -29124.341026] SPR radius for FAST iterations: 25 (autodetect)
[02:50:31 -29124.341026] Model parameter optimization (eps = 3.000000)
[02:50:40 -29006.612347] FAST spr round 1 (radius: 25)
[02:51:17 -27434.661642] FAST spr round 2 (radius: 25)
[02:51:43 -27281.741096] FAST spr round 3 (radius: 25)
[02:52:06 -27269.639666] FAST spr round 4 (radius: 25)
[02:52:27 -27268.299449] FAST spr round 5 (radius: 25)
[02:52:46 -27266.407171] FAST spr round 6 (radius: 25)
[02:53:05 -27266.391405] Model parameter optimization (eps = 1.000000)
[02:53:10 -27263.049036] SLOW spr round 1 (radius: 5)
[02:53:35 -27254.040722] SLOW spr round 2 (radius: 5)
[02:54:01 -27251.730754] SLOW spr round 3 (radius: 5)
[02:54:25 -27251.730222] SLOW spr round 4 (radius: 10)
[02:54:53 -27251.155230] SLOW spr round 5 (radius: 5)
[02:55:24 -27250.884516] SLOW spr round 6 (radius: 5)
[02:55:52 -27250.879430] SLOW spr round 7 (radius: 10)
[02:56:22 -27250.722000] SLOW spr round 8 (radius: 5)
[02:56:52 -27250.721989] SLOW spr round 9 (radius: 10)
[02:57:26 -27250.721983] SLOW spr round 10 (radius: 15)
[02:58:19 -27249.865479] SLOW spr round 11 (radius: 5)
[02:58:52 -27247.910826] SLOW spr round 12 (radius: 5)
[02:59:21 -27247.909560] SLOW spr round 13 (radius: 10)
[02:59:52 -27247.909213] SLOW spr round 14 (radius: 15)
[03:00:46 -27247.690518] SLOW spr round 15 (radius: 5)
[03:01:18 -27247.690468] SLOW spr round 16 (radius: 10)
[03:01:54 -27247.690454] SLOW spr round 17 (radius: 15)
[03:02:46 -27247.690448] SLOW spr round 18 (radius: 20)
[03:03:40 -27247.690439] SLOW spr round 19 (radius: 25)
[03:04:29 -27245.554287] SLOW spr round 20 (radius: 5)
[03:05:03 -27243.017833] SLOW spr round 21 (radius: 5)
[03:05:32 -27243.014055] SLOW spr round 22 (radius: 10)
[03:06:04 -27241.309204] SLOW spr round 23 (radius: 5)
[03:06:34 -27241.307139] SLOW spr round 24 (radius: 10)
[03:07:08 -27240.772506] SLOW spr round 25 (radius: 5)
[03:07:40 -27237.956648] SLOW spr round 26 (radius: 5)
[03:08:09 -27234.275807] SLOW spr round 27 (radius: 5)
[03:08:35 -27234.256062] SLOW spr round 28 (radius: 10)
[03:09:04 -27230.551627] SLOW spr round 29 (radius: 5)
[03:09:36 -27228.760429] SLOW spr round 30 (radius: 5)
[03:10:04 -27228.758502] SLOW spr round 31 (radius: 10)
[03:10:34 -27227.624740] SLOW spr round 32 (radius: 5)
[03:11:06 -27227.380446] SLOW spr round 33 (radius: 5)
[03:11:35 -27226.670302] SLOW spr round 34 (radius: 5)
[03:12:01 -27226.668273] SLOW spr round 35 (radius: 10)
[03:12:29 -27226.667851] SLOW spr round 36 (radius: 15)
[03:13:26 -27226.405076] SLOW spr round 37 (radius: 5)
[03:14:00 -27226.251596] SLOW spr round 38 (radius: 5)
[03:14:28 -27226.251157] SLOW spr round 39 (radius: 10)
[03:15:00 -27226.251113] SLOW spr round 40 (radius: 15)
[03:15:56 -27225.522577] SLOW spr round 41 (radius: 5)
[03:16:28 -27225.520681] SLOW spr round 42 (radius: 10)
[03:17:04 -27225.520523] SLOW spr round 43 (radius: 15)
[03:17:58 -27225.520506] SLOW spr round 44 (radius: 20)
[03:18:54 -27224.961434] SLOW spr round 45 (radius: 5)
[03:19:28 -27222.326352] SLOW spr round 46 (radius: 5)
[03:19:58 -27217.221474] SLOW spr round 47 (radius: 5)
[03:20:25 -27210.289843] SLOW spr round 48 (radius: 5)
[03:20:51 -27207.227128] SLOW spr round 49 (radius: 5)
[03:21:18 -27205.470622] SLOW spr round 50 (radius: 5)
[03:21:43 -27205.469302] SLOW spr round 51 (radius: 10)
[03:21:54] [worker #1] ML tree search #14, logLikelihood: -27183.970822
[03:22:11 -27205.378366] SLOW spr round 52 (radius: 15)
[03:23:09 -27205.082229] SLOW spr round 53 (radius: 5)
[03:23:42 -27204.591784] SLOW spr round 54 (radius: 5)
[03:24:10 -27204.571940] SLOW spr round 55 (radius: 10)
[03:24:41 -27204.013980] SLOW spr round 56 (radius: 5)
[03:25:12 -27204.009565] SLOW spr round 57 (radius: 10)
[03:25:45 -27204.007243] SLOW spr round 58 (radius: 15)
[03:26:40 -27203.614194] SLOW spr round 59 (radius: 5)
[03:27:12 -27203.613966] SLOW spr round 60 (radius: 10)
[03:27:47 -27203.613932] SLOW spr round 61 (radius: 15)
[03:28:42 -27203.613901] SLOW spr round 62 (radius: 20)
[03:29:38 -27203.613886] SLOW spr round 63 (radius: 25)
[03:30:31 -27203.613876] Model parameter optimization (eps = 0.100000)

[03:30:33] [worker #0] ML tree search #15, logLikelihood: -27203.521879

[03:30:33 -58577.220967] Initial branch length optimization
[03:30:34 -47104.775987] Model parameter optimization (eps = 10.000000)
[03:30:45 -46860.961827] AUTODETECT spr round 1 (radius: 5)
[03:31:04 -40176.779359] AUTODETECT spr round 2 (radius: 10)
[03:31:28 -33851.401653] AUTODETECT spr round 3 (radius: 15)
[03:31:56 -31272.461625] AUTODETECT spr round 4 (radius: 20)
[03:32:28 -29721.809024] AUTODETECT spr round 5 (radius: 25)
[03:33:04 -29557.276580] SPR radius for FAST iterations: 25 (autodetect)
[03:33:04 -29557.276580] Model parameter optimization (eps = 3.000000)
[03:33:13 -29492.364359] FAST spr round 1 (radius: 25)
[03:33:49 -27391.144563] FAST spr round 2 (radius: 25)
[03:34:17 -27257.273777] FAST spr round 3 (radius: 25)
[03:34:41 -27234.548189] FAST spr round 4 (radius: 25)
[03:35:03 -27224.406389] FAST spr round 5 (radius: 25)
[03:35:22 -27220.842143] FAST spr round 6 (radius: 25)
[03:35:41 -27218.653347] FAST spr round 7 (radius: 25)
[03:36:00 -27217.557017] FAST spr round 8 (radius: 25)
[03:36:18 -27217.556845] Model parameter optimization (eps = 1.000000)
[03:36:23 -27214.854518] SLOW spr round 1 (radius: 5)
[03:36:48 -27207.511989] SLOW spr round 2 (radius: 5)
[03:37:13 -27207.510148] SLOW spr round 3 (radius: 10)
[03:37:41 -27204.618727] SLOW spr round 4 (radius: 5)
[03:38:12 -27203.770649] SLOW spr round 5 (radius: 5)
[03:38:40 -27201.926889] SLOW spr round 6 (radius: 5)
[03:39:06 -27201.837414] SLOW spr round 7 (radius: 10)
[03:39:34 -27201.837118] SLOW spr round 8 (radius: 15)
[03:40:30 -27194.986992] SLOW spr round 9 (radius: 5)
[03:41:04 -27191.963792] SLOW spr round 10 (radius: 5)
[03:41:33 -27191.235243] SLOW spr round 11 (radius: 5)
[03:42:00 -27191.233491] SLOW spr round 12 (radius: 10)
[03:42:28 -27191.055297] SLOW spr round 13 (radius: 5)
[03:42:59 -27190.201299] SLOW spr round 14 (radius: 5)
[03:43:26 -27190.199296] SLOW spr round 15 (radius: 10)
[03:43:42] [worker #1] ML tree search #16, logLikelihood: -27193.970506
[03:43:55 -27189.546133] SLOW spr round 16 (radius: 5)
[03:44:26 -27189.544575] SLOW spr round 17 (radius: 10)
[03:44:58 -27189.544452] SLOW spr round 18 (radius: 15)
[03:45:50 -27188.570071] SLOW spr round 19 (radius: 5)
[03:46:21 -27188.568718] SLOW spr round 20 (radius: 10)
[03:46:55 -27188.568654] SLOW spr round 21 (radius: 15)
[03:47:46 -27188.197636] SLOW spr round 22 (radius: 5)
[03:48:18 -27188.197150] SLOW spr round 23 (radius: 10)
[03:48:51 -27188.197117] SLOW spr round 24 (radius: 15)
[03:49:43 -27188.197114] SLOW spr round 25 (radius: 20)
[03:50:38 -27187.559538] SLOW spr round 26 (radius: 5)
[03:51:10 -27187.559236] SLOW spr round 27 (radius: 10)
[03:51:45 -27187.559199] SLOW spr round 28 (radius: 15)
[03:52:37 -27187.559198] SLOW spr round 29 (radius: 20)
[03:53:30 -27187.559198] SLOW spr round 30 (radius: 25)
[03:54:13 -27187.012340] SLOW spr round 31 (radius: 5)
[03:54:46 -27187.011184] SLOW spr round 32 (radius: 10)
[03:55:22 -27187.011129] SLOW spr round 33 (radius: 15)
[03:56:13 -27187.011126] SLOW spr round 34 (radius: 20)
[03:57:07 -27187.011125] SLOW spr round 35 (radius: 25)
[03:57:49 -27186.760247] SLOW spr round 36 (radius: 5)
[03:58:22 -27186.581496] SLOW spr round 37 (radius: 5)
[03:58:51 -27186.579957] SLOW spr round 38 (radius: 10)
[03:59:22 -27186.579828] SLOW spr round 39 (radius: 15)
[04:00:13 -27186.579813] SLOW spr round 40 (radius: 20)
[04:01:07 -27186.579798] SLOW spr round 41 (radius: 25)
[04:01:51 -27186.579798] Model parameter optimization (eps = 0.100000)

[04:01:54] [worker #0] ML tree search #17, logLikelihood: -27186.474965

[04:01:54 -59390.069867] Initial branch length optimization
[04:01:54 -47381.222492] Model parameter optimization (eps = 10.000000)
[04:02:03 -47225.514708] AUTODETECT spr round 1 (radius: 5)
[04:02:22 -40967.818505] AUTODETECT spr round 2 (radius: 10)
[04:02:46 -35026.674358] AUTODETECT spr round 3 (radius: 15)
[04:03:17 -30720.705576] AUTODETECT spr round 4 (radius: 20)
[04:03:51 -29801.964663] AUTODETECT spr round 5 (radius: 25)
[04:04:21 -29421.180193] SPR radius for FAST iterations: 25 (autodetect)
[04:04:21 -29421.180193] Model parameter optimization (eps = 3.000000)
[04:04:32 -29319.184043] FAST spr round 1 (radius: 25)
[04:05:10 -27401.202013] FAST spr round 2 (radius: 25)
[04:05:36 -27297.314493] FAST spr round 3 (radius: 25)
[04:05:58 -27277.736117] FAST spr round 4 (radius: 25)
[04:06:19 -27222.034817] FAST spr round 5 (radius: 25)
[04:06:38 -27215.102138] FAST spr round 6 (radius: 25)
[04:06:56 -27215.090030] Model parameter optimization (eps = 1.000000)
[04:07:01 -27208.003915] SLOW spr round 1 (radius: 5)
[04:07:27 -27198.130497] SLOW spr round 2 (radius: 5)
[04:07:52 -27196.274730] SLOW spr round 3 (radius: 5)
[04:08:18 -27196.029393] SLOW spr round 4 (radius: 5)
[04:08:43 -27196.027811] SLOW spr round 5 (radius: 10)
[04:09:11 -27192.056376] SLOW spr round 6 (radius: 5)
[04:09:12] [worker #1] ML tree search #18, logLikelihood: -27188.655232
[04:09:42 -27192.043754] SLOW spr round 7 (radius: 10)
[04:10:16 -27192.040935] SLOW spr round 8 (radius: 15)
[04:11:10 -27189.397579] SLOW spr round 9 (radius: 5)
[04:11:43 -27188.123281] SLOW spr round 10 (radius: 5)
[04:12:12 -27188.120595] SLOW spr round 11 (radius: 10)
[04:12:42 -27188.066398] SLOW spr round 12 (radius: 15)
[04:13:37 -27187.736704] SLOW spr round 13 (radius: 5)
[04:14:11 -27185.429890] SLOW spr round 14 (radius: 5)
[04:14:40 -27185.424704] SLOW spr round 15 (radius: 10)
[04:15:09 -27185.424514] SLOW spr round 16 (radius: 15)
[04:16:05 -27184.712270] SLOW spr round 17 (radius: 5)
[04:16:36 -27184.682560] SLOW spr round 18 (radius: 10)
[04:17:10 -27184.681590] SLOW spr round 19 (radius: 15)
[04:18:03 -27184.681320] SLOW spr round 20 (radius: 20)
[04:18:59 -27183.293609] SLOW spr round 21 (radius: 5)
[04:19:32 -27181.716602] SLOW spr round 22 (radius: 5)
[04:20:01 -27181.715465] SLOW spr round 23 (radius: 10)
[04:20:31 -27181.715347] SLOW spr round 24 (radius: 15)
[04:21:25 -27181.715314] SLOW spr round 25 (radius: 20)
[04:22:20 -27181.715302] SLOW spr round 26 (radius: 25)
[04:23:07 -27181.715297] Model parameter optimization (eps = 0.100000)

[04:23:10] [worker #0] ML tree search #19, logLikelihood: -27181.518480

[04:32:49] [worker #1] ML tree search #20, logLikelihood: -27179.056239

Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.269133,0.573444) (0.141049,0.418191) (0.461599,1.241237) (0.128218,1.666903) 
   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: -27171.833341

AIC score: 56125.666682 / AICc score: 1645669.666682 / BIC score: 58225.494247
Free parameters (model + branch lengths): 891

WARNING: Number of free parameters (K=891) is larger than alignment size (n=78).
         This might lead to overfitting and compromise tree inference results!


WARNING: Best ML tree contains 64 near-zero branches!

Best ML tree with collapsed near-zero branches saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A6NM11/3_mltree/A6NM11.raxml.bestTreeCollapsed
Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A6NM11/3_mltree/A6NM11.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A6NM11/3_mltree/A6NM11.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A6NM11/3_mltree/A6NM11.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A6NM11/3_mltree/A6NM11.raxml.log

Analysis started: 01-Jul-2021 00:21:49 / finished: 01-Jul-2021 04:54:39

Elapsed time: 16369.566 seconds

Consumed energy: 1308.273 Wh (= 7 km in an electric car, or 33 km with an e-scooter!)