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 06-Jul-2021 02:05:57 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q0VAK6/2_msa/Q0VAK6_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q0VAK6/3_mltree/Q0VAK6 --seed 2 --threads 7 --tree rand{20} pars{20}

Analysis options:
  run mode: ML tree search
  start tree(s): random (20)
  random seed: 2
  tip-inner: OFF
  pattern compression: ON
  per-rate scalers: OFF
  site repeats: ON
  fast spr radius: AUTO
  spr subtree cutoff: 1.000000
  branch lengths: proportional (ML estimate, algorithm: NR-FAST)
  SIMD kernels: AVX2
  parallelization: coarse-grained (auto), PTHREADS (7 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q0VAK6/2_msa/Q0VAK6_trimmed_msa.fasta
[00:00:00] Loaded alignment with 812 taxa and 594 sites

WARNING: Sequences tr_M3XY54_M3XY54_MUSPF_9669 and tr_A0A2Y9L766_A0A2Y9L766_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_G3RI10_G3RI10_GORGO_9595 and sp_Q9NZR1_TMOD2_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2J8WNH7_A0A2J8WNH7_PONAB_9601 and tr_A0A2R9A154_A0A2R9A154_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2NN88_H2NN88_PONAB_9601 and tr_H2Q9G1_H2Q9G1_PANTR_9598 are exactly identical!
WARNING: Sequences tr_H2NN88_H2NN88_PONAB_9601 and tr_A0A2R9A378_A0A2R9A378_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G1T4H0_G1T4H0_RABIT_9986 and tr_G1TRH9_G1TRH9_RABIT_9986 are exactly identical!
WARNING: Sequences tr_H2PZY2_H2PZY2_PANTR_9598 and sp_Q9NZQ9_TMOD4_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_H2PZY2_H2PZY2_PANTR_9598 and tr_F6PSC9_F6PSC9_MACMU_9544 are exactly identical!
WARNING: Sequences tr_H2PZY2_H2PZY2_PANTR_9598 and tr_G8F2C3_G8F2C3_MACFA_9541 are exactly identical!
WARNING: Sequences tr_H2PZY2_H2PZY2_PANTR_9598 and tr_A9X195_A9X195_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_H2PZY2_H2PZY2_PANTR_9598 and tr_A0A0D9S5U7_A0A0D9S5U7_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_H2PZY2_H2PZY2_PANTR_9598 and tr_A0A2K5LVF0_A0A2K5LVF0_CERAT_9531 are exactly identical!
WARNING: Sequences tr_H2PZY2_H2PZY2_PANTR_9598 and tr_A0A2K6DJL8_A0A2K6DJL8_MACNE_9545 are exactly identical!
WARNING: Sequences tr_H2PZY2_H2PZY2_PANTR_9598 and tr_A0A2R9ANE4_A0A2R9ANE4_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2R4Z6_H2R4Z6_PANTR_9598 and sp_Q6P5Q4_LMOD2_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_H2R4Z6_H2R4Z6_PANTR_9598 and tr_A0A2R9B0U2_A0A2R9B0U2_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A158NB57_A0A158NB57_ATTCE_12957 and tr_A0A195BSR3_A0A195BSR3_9HYME_520822 are exactly identical!
WARNING: Sequences tr_A0A0I9R383_A0A0I9R383_BRUMA_6279 and tr_A0A0N4SY51_A0A0N4SY51_BRUPA_6280 are exactly identical!
WARNING: Sequences tr_A0A0I9R383_A0A0I9R383_BRUMA_6279 and tr_A0A0R3QVE5_A0A0R3QVE5_9BILA_42155 are exactly identical!
WARNING: Sequences tr_A0A1D5RHC4_A0A1D5RHC4_MACMU_9544 and tr_G7PRW3_G7PRW3_MACFA_9541 are exactly identical!
WARNING: Sequences tr_A0A1D5RHC4_A0A1D5RHC4_MACMU_9544 and tr_A0A096P138_A0A096P138_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A1D5RHC4_A0A1D5RHC4_MACMU_9544 and tr_A0A2K6C8Y4_A0A2K6C8Y4_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A1D5RHC4_A0A1D5RHC4_MACMU_9544 and tr_A0A2K5YER1_A0A2K5YER1_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F6TZ47_F6TZ47_MACMU_9544 and tr_A0A096N290_A0A096N290_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F6TZ47_F6TZ47_MACMU_9544 and tr_A0A2K6AFH7_A0A2K6AFH7_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F7C5M5_F7C5M5_MACMU_9544 and tr_G7PBH4_G7PBH4_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7FCR8_F7FCR8_MACMU_9544 and tr_G7NZ90_G7NZ90_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7HPP2_F7HPP2_MACMU_9544 and tr_G7PBH3_G7PBH3_MACFA_9541 are exactly identical!
WARNING: Sequences tr_A8WVR8_A8WVR8_CAEBR_6238 and tr_A0A2G5VEV4_A0A2G5VEV4_9PELO_1611254 are exactly identical!
WARNING: Sequences tr_G1LE04_G1LE04_AILME_9646 and tr_A0A2U3VCS6_A0A2U3VCS6_ODORO_9708 are exactly identical!
WARNING: Sequences tr_G7NWE8_G7NWE8_MACFA_9541 and tr_A0A0D9RNK0_A0A0D9RNK0_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_R7VPW8_R7VPW8_COLLI_8932 and tr_A0A1V4J5J2_A0A1V4J5J2_PATFA_372326 are exactly identical!
WARNING: Sequences tr_A0A0V1CGS0_A0A0V1CGS0_TRIBR_45882 and tr_A0A0V0UPD1_A0A0V0UPD1_9BILA_181606 are exactly identical!
WARNING: Sequences tr_A0A0V1CGS0_A0A0V1CGS0_TRIBR_45882 and tr_A0A0V1LMX6_A0A0V1LMX6_9BILA_6335 are exactly identical!
WARNING: Sequences tr_A0A0V1CGS0_A0A0V1CGS0_TRIBR_45882 and tr_A0A0V0ZKL0_A0A0V0ZKL0_9BILA_990121 are exactly identical!
WARNING: Sequences tr_A0A0V1CGS0_A0A0V1CGS0_TRIBR_45882 and tr_A0A0V0U916_A0A0V0U916_9BILA_144512 are exactly identical!
WARNING: Sequences tr_A0A0V1CZJ1_A0A0V1CZJ1_TRIBR_45882 and tr_A0A0V0UQW1_A0A0V0UQW1_9BILA_181606 are exactly identical!
WARNING: Sequences tr_A0A0V1CZJ1_A0A0V1CZJ1_TRIBR_45882 and tr_A0A0V1NI55_A0A0V1NI55_9BILA_92180 are exactly identical!
WARNING: Sequences tr_A0A0V1CZJ1_A0A0V1CZJ1_TRIBR_45882 and tr_A0A0V0TEN3_A0A0V0TEN3_9BILA_144512 are exactly identical!
WARNING: Sequences tr_A0A0V0W3X5_A0A0V0W3X5_9BILA_92179 and tr_A0A0V1L4K6_A0A0V1L4K6_9BILA_6335 are exactly identical!
WARNING: Sequences tr_A0A226MS96_A0A226MS96_CALSU_9009 and tr_A0A226PIM8_A0A226PIM8_COLVI_9014 are exactly identical!
WARNING: Sequences tr_A0A2K5L8V2_A0A2K5L8V2_CERAT_9531 and tr_A0A2K5Y749_A0A2K5Y749_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2K5N4D9_A0A2K5N4D9_CERAT_9531 and tr_A0A2K6D6A0_A0A2K6D6A0_MACNE_9545 are exactly identical!
WARNING: Duplicate sequences found: 43

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/Q0VAK6/3_mltree/Q0VAK6.raxml.reduced.phy

Alignment comprises 1 partitions and 594 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 594 / 594
Gaps: 34.41 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q0VAK6/3_mltree/Q0VAK6.raxml.rba

Parallelization scheme autoconfig: 1 worker(s) x 7 thread(s)

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

[00:00:00] Generating 20 random starting tree(s) with 812 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 85 / 6800
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -575817.288244] Initial branch length optimization
[00:00:02 -487657.360716] Model parameter optimization (eps = 10.000000)
[00:00:24 -485721.858867] AUTODETECT spr round 1 (radius: 5)
[00:01:40 -301517.888800] AUTODETECT spr round 2 (radius: 10)
[00:02:56 -215758.436602] AUTODETECT spr round 3 (radius: 15)
[00:04:19 -184369.505055] AUTODETECT spr round 4 (radius: 20)
[00:05:55 -167698.323107] AUTODETECT spr round 5 (radius: 25)
[00:08:09 -162942.882712] SPR radius for FAST iterations: 25 (autodetect)
[00:08:09 -162942.882712] Model parameter optimization (eps = 3.000000)
[00:08:27 -162722.129702] FAST spr round 1 (radius: 25)
[00:09:52 -142892.696438] FAST spr round 2 (radius: 25)
[00:11:03 -142080.083930] FAST spr round 3 (radius: 25)
[00:12:07 -141997.091273] FAST spr round 4 (radius: 25)
[00:13:05 -141988.826858] FAST spr round 5 (radius: 25)
[00:14:01 -141988.094293] FAST spr round 6 (radius: 25)
[00:14:57 -141988.094259] Model parameter optimization (eps = 1.000000)
[00:15:08 -141979.811896] SLOW spr round 1 (radius: 5)
[00:16:29 -141951.539785] SLOW spr round 2 (radius: 5)
[00:17:49 -141943.825157] SLOW spr round 3 (radius: 5)
[00:19:04 -141943.824947] SLOW spr round 4 (radius: 10)
[00:20:20 -141941.421174] SLOW spr round 5 (radius: 5)
[00:21:57 -141940.626876] SLOW spr round 6 (radius: 5)
[00:23:23 -141939.537986] SLOW spr round 7 (radius: 5)
[00:24:43 -141939.537780] SLOW spr round 8 (radius: 10)
[00:25:59 -141939.537780] SLOW spr round 9 (radius: 15)
[00:28:05 -141939.537780] SLOW spr round 10 (radius: 20)
[00:31:27 -141939.537780] SLOW spr round 11 (radius: 25)
[00:36:05 -141939.537780] Model parameter optimization (eps = 0.100000)

[00:36:09] ML tree search #1, logLikelihood: -141939.530263

[00:36:09 -574050.401818] Initial branch length optimization
[00:36:11 -486769.162103] Model parameter optimization (eps = 10.000000)
[00:36:37 -485106.527150] AUTODETECT spr round 1 (radius: 5)
[00:37:52 -300614.824430] AUTODETECT spr round 2 (radius: 10)
[00:39:12 -213504.174212] AUTODETECT spr round 3 (radius: 15)
[00:40:37 -189508.818648] AUTODETECT spr round 4 (radius: 20)
[00:42:31 -172516.699681] AUTODETECT spr round 5 (radius: 25)
[00:44:26 -164688.485503] SPR radius for FAST iterations: 25 (autodetect)
[00:44:26 -164688.485503] Model parameter optimization (eps = 3.000000)
[00:44:42 -164445.527954] FAST spr round 1 (radius: 25)
[00:46:13 -143240.565065] FAST spr round 2 (radius: 25)
[00:47:30 -142162.157869] FAST spr round 3 (radius: 25)
[00:48:39 -142005.383608] FAST spr round 4 (radius: 25)
[00:49:41 -142001.327289] FAST spr round 5 (radius: 25)
[00:50:42 -142000.089060] FAST spr round 6 (radius: 25)
[00:51:41 -142000.089055] Model parameter optimization (eps = 1.000000)
[00:51:52 -141995.252452] SLOW spr round 1 (radius: 5)
[00:53:15 -141970.901544] SLOW spr round 2 (radius: 5)
[00:54:34 -141969.780326] SLOW spr round 3 (radius: 5)
[00:55:52 -141969.779517] SLOW spr round 4 (radius: 10)
[00:57:09 -141968.852836] SLOW spr round 5 (radius: 5)
[00:58:48 -141967.169140] SLOW spr round 6 (radius: 5)
[01:00:14 -141967.169139] SLOW spr round 7 (radius: 10)
[01:01:38 -141965.471840] SLOW spr round 8 (radius: 5)
[01:03:14 -141965.471625] SLOW spr round 9 (radius: 10)
[01:04:42 -141965.471625] SLOW spr round 10 (radius: 15)
[01:06:45 -141965.471625] SLOW spr round 11 (radius: 20)
[01:10:19 -141965.471625] SLOW spr round 12 (radius: 25)
[01:15:02 -141965.471625] Model parameter optimization (eps = 0.100000)

[01:15:08] ML tree search #2, logLikelihood: -141965.410862

[01:15:08 -574001.244251] Initial branch length optimization
[01:15:10 -489251.503866] Model parameter optimization (eps = 10.000000)
[01:15:33 -487583.639607] AUTODETECT spr round 1 (radius: 5)
[01:16:51 -299163.130596] AUTODETECT spr round 2 (radius: 10)
[01:18:12 -213230.384694] AUTODETECT spr round 3 (radius: 15)
[01:19:43 -173183.924921] AUTODETECT spr round 4 (radius: 20)
[01:21:23 -169126.931505] AUTODETECT spr round 5 (radius: 25)
[01:23:20 -167138.606889] SPR radius for FAST iterations: 25 (autodetect)
[01:23:20 -167138.606889] Model parameter optimization (eps = 3.000000)
[01:23:40 -166894.937218] FAST spr round 1 (radius: 25)
[01:25:13 -143387.593199] FAST spr round 2 (radius: 25)
[01:26:30 -142070.123596] FAST spr round 3 (radius: 25)
[01:27:38 -142023.156901] FAST spr round 4 (radius: 25)
[01:28:39 -142005.964403] FAST spr round 5 (radius: 25)
[01:29:38 -142001.727150] FAST spr round 6 (radius: 25)
[01:30:36 -142001.727105] Model parameter optimization (eps = 1.000000)
[01:30:45 -141999.465599] SLOW spr round 1 (radius: 5)
[01:32:03 -141969.958623] SLOW spr round 2 (radius: 5)
[01:33:22 -141960.798377] SLOW spr round 3 (radius: 5)
[01:34:37 -141959.864793] SLOW spr round 4 (radius: 5)
[01:35:51 -141959.864620] SLOW spr round 5 (radius: 10)
[01:37:08 -141959.131141] SLOW spr round 6 (radius: 5)
[01:38:44 -141957.307213] SLOW spr round 7 (radius: 5)
[01:40:08 -141957.307212] SLOW spr round 8 (radius: 10)
[01:41:29 -141957.307212] SLOW spr round 9 (radius: 15)
[01:43:33 -141957.307212] SLOW spr round 10 (radius: 20)
[01:46:59 -141957.307212] SLOW spr round 11 (radius: 25)
[01:51:45 -141957.307212] Model parameter optimization (eps = 0.100000)

[01:51:54] ML tree search #3, logLikelihood: -141957.178368

[01:51:54 -567678.034288] Initial branch length optimization
[01:51:57 -479444.001189] Model parameter optimization (eps = 10.000000)
[01:52:21 -477974.137336] AUTODETECT spr round 1 (radius: 5)
[01:53:40 -314498.175147] AUTODETECT spr round 2 (radius: 10)
[01:55:01 -220968.524959] AUTODETECT spr round 3 (radius: 15)
[01:56:30 -176668.969740] AUTODETECT spr round 4 (radius: 20)
[01:58:15 -158283.883804] AUTODETECT spr round 5 (radius: 25)
[02:00:36 -157998.227463] SPR radius for FAST iterations: 25 (autodetect)
[02:00:36 -157998.227463] Model parameter optimization (eps = 3.000000)
[02:00:50 -157776.578036] FAST spr round 1 (radius: 25)
[02:02:17 -142766.693309] FAST spr round 2 (radius: 25)
[02:03:28 -142064.496783] FAST spr round 3 (radius: 25)
[02:04:34 -141998.002661] FAST spr round 4 (radius: 25)
[02:05:35 -141990.453244] FAST spr round 5 (radius: 25)
[02:06:32 -141990.453125] Model parameter optimization (eps = 1.000000)
[02:06:40 -141988.828292] SLOW spr round 1 (radius: 5)
[02:08:01 -141958.832439] SLOW spr round 2 (radius: 5)
[02:09:21 -141958.832187] SLOW spr round 3 (radius: 10)
[02:10:40 -141957.321245] SLOW spr round 4 (radius: 5)
[02:12:18 -141955.705051] SLOW spr round 5 (radius: 5)
[02:13:44 -141955.705050] SLOW spr round 6 (radius: 10)
[02:15:06 -141955.705050] SLOW spr round 7 (radius: 15)
[02:17:12 -141955.705050] SLOW spr round 8 (radius: 20)
[02:20:43 -141955.705050] SLOW spr round 9 (radius: 25)
[02:25:31 -141955.705050] Model parameter optimization (eps = 0.100000)

[02:25:36] ML tree search #4, logLikelihood: -141955.650045

[02:25:36 -573934.983330] Initial branch length optimization
[02:25:39 -487621.613735] Model parameter optimization (eps = 10.000000)
[02:25:58 -485831.405329] AUTODETECT spr round 1 (radius: 5)
[02:27:17 -306900.574703] AUTODETECT spr round 2 (radius: 10)
[02:28:40 -222914.455419] AUTODETECT spr round 3 (radius: 15)
[02:30:10 -183220.013854] AUTODETECT spr round 4 (radius: 20)
[02:31:49 -169224.539484] AUTODETECT spr round 5 (radius: 25)
[02:33:41 -167805.287863] SPR radius for FAST iterations: 25 (autodetect)
[02:33:41 -167805.287863] Model parameter optimization (eps = 3.000000)
[02:33:59 -167498.353077] FAST spr round 1 (radius: 25)
[02:35:30 -143381.376787] FAST spr round 2 (radius: 25)
[02:36:41 -142185.303474] FAST spr round 3 (radius: 25)
[02:37:47 -142030.284296] FAST spr round 4 (radius: 25)
[02:38:49 -142017.627297] FAST spr round 5 (radius: 25)
[02:39:49 -142017.626762] Model parameter optimization (eps = 1.000000)
[02:40:00 -142012.673248] SLOW spr round 1 (radius: 5)
[02:41:22 -141962.418595] SLOW spr round 2 (radius: 5)
[02:42:41 -141953.657629] SLOW spr round 3 (radius: 5)
[02:43:59 -141953.361294] SLOW spr round 4 (radius: 5)
[02:45:14 -141953.361219] SLOW spr round 5 (radius: 10)
[02:46:30 -141953.361218] SLOW spr round 6 (radius: 15)
[02:48:38 -141953.361218] SLOW spr round 7 (radius: 20)
[02:51:58 -141951.098293] SLOW spr round 8 (radius: 5)
[02:53:39 -141951.098266] SLOW spr round 9 (radius: 10)
[02:55:11 -141951.098265] SLOW spr round 10 (radius: 15)
[02:57:07 -141951.098265] SLOW spr round 11 (radius: 20)
[03:00:36 -141951.098265] SLOW spr round 12 (radius: 25)
[03:05:12 -141951.098265] Model parameter optimization (eps = 0.100000)

[03:05:16] ML tree search #5, logLikelihood: -141951.077081

[03:05:16 -569776.495827] Initial branch length optimization
[03:05:18 -485079.668070] Model parameter optimization (eps = 10.000000)
[03:05:41 -483463.359068] AUTODETECT spr round 1 (radius: 5)
[03:06:58 -301255.749315] AUTODETECT spr round 2 (radius: 10)
[03:08:19 -211806.713233] AUTODETECT spr round 3 (radius: 15)
[03:09:49 -175409.223318] AUTODETECT spr round 4 (radius: 20)
[03:11:37 -160447.858880] AUTODETECT spr round 5 (radius: 25)
[03:13:45 -159999.486785] SPR radius for FAST iterations: 25 (autodetect)
[03:13:45 -159999.486785] Model parameter optimization (eps = 3.000000)
[03:14:05 -159767.362427] FAST spr round 1 (radius: 25)
[03:15:38 -142741.964404] FAST spr round 2 (radius: 25)
[03:16:54 -142055.214557] FAST spr round 3 (radius: 25)
[03:18:04 -142006.463640] FAST spr round 4 (radius: 25)
[03:19:07 -141999.616347] FAST spr round 5 (radius: 25)
[03:20:07 -141993.870387] FAST spr round 6 (radius: 25)
[03:21:07 -141993.869524] Model parameter optimization (eps = 1.000000)
[03:21:19 -141988.607363] SLOW spr round 1 (radius: 5)
[03:22:42 -141961.722503] SLOW spr round 2 (radius: 5)
[03:24:02 -141960.813543] SLOW spr round 3 (radius: 5)
[03:25:20 -141960.813148] SLOW spr round 4 (radius: 10)
[03:26:39 -141955.717654] SLOW spr round 5 (radius: 5)
[03:28:18 -141951.674948] SLOW spr round 6 (radius: 5)
[03:29:44 -141949.717627] SLOW spr round 7 (radius: 5)
[03:31:04 -141949.717589] SLOW spr round 8 (radius: 10)
[03:32:23 -141949.717589] SLOW spr round 9 (radius: 15)
[03:34:32 -141949.717589] SLOW spr round 10 (radius: 20)
[03:37:56 -141949.717589] SLOW spr round 11 (radius: 25)
[03:42:42 -141949.717589] Model parameter optimization (eps = 0.100000)

[03:42:47] ML tree search #6, logLikelihood: -141949.675550

[03:42:47 -575086.921356] Initial branch length optimization
[03:42:50 -487491.368330] Model parameter optimization (eps = 10.000000)
[03:43:25 -485706.796661] AUTODETECT spr round 1 (radius: 5)
[03:44:42 -302582.123945] AUTODETECT spr round 2 (radius: 10)
[03:46:03 -206245.796772] AUTODETECT spr round 3 (radius: 15)
[03:47:33 -179162.277634] AUTODETECT spr round 4 (radius: 20)
[03:49:15 -168408.418827] AUTODETECT spr round 5 (radius: 25)
[03:51:15 -163604.172246] SPR radius for FAST iterations: 25 (autodetect)
[03:51:15 -163604.172246] Model parameter optimization (eps = 3.000000)
[03:51:31 -163401.913087] FAST spr round 1 (radius: 25)
[03:52:59 -143340.920187] FAST spr round 2 (radius: 25)
[03:54:08 -142111.412763] FAST spr round 3 (radius: 25)
[03:55:15 -142038.456901] FAST spr round 4 (radius: 25)
[03:56:14 -142031.971428] FAST spr round 5 (radius: 25)
[03:57:14 -141993.262099] FAST spr round 6 (radius: 25)
[03:58:11 -141993.261763] Model parameter optimization (eps = 1.000000)
[03:58:20 -141990.019012] SLOW spr round 1 (radius: 5)
[03:59:39 -141959.669794] SLOW spr round 2 (radius: 5)
[04:00:59 -141958.422343] SLOW spr round 3 (radius: 5)
[04:02:16 -141958.422212] SLOW spr round 4 (radius: 10)
[04:03:34 -141956.585790] SLOW spr round 5 (radius: 5)
[04:05:11 -141955.753556] SLOW spr round 6 (radius: 5)
[04:06:37 -141954.682371] SLOW spr round 7 (radius: 5)
[04:07:57 -141954.682318] SLOW spr round 8 (radius: 10)
[04:09:15 -141954.682318] SLOW spr round 9 (radius: 15)
[04:11:22 -141954.682318] SLOW spr round 10 (radius: 20)
[04:14:43 -141952.391841] SLOW spr round 11 (radius: 5)
[04:16:25 -141952.391776] SLOW spr round 12 (radius: 10)
[04:17:59 -141952.391775] SLOW spr round 13 (radius: 15)
[04:19:59 -141952.391775] SLOW spr round 14 (radius: 20)
[04:23:28 -141952.391775] SLOW spr round 15 (radius: 25)
[04:28:06 -141952.391775] Model parameter optimization (eps = 0.100000)

[04:28:13] ML tree search #7, logLikelihood: -141952.252045

[04:28:13 -570406.308901] Initial branch length optimization
[04:28:16 -482203.561643] Model parameter optimization (eps = 10.000000)
[04:28:43 -480469.503956] AUTODETECT spr round 1 (radius: 5)
[04:30:04 -316973.624012] AUTODETECT spr round 2 (radius: 10)
[04:31:26 -221228.315350] AUTODETECT spr round 3 (radius: 15)
[04:32:55 -177171.747305] AUTODETECT spr round 4 (radius: 20)
[04:34:41 -166102.480741] AUTODETECT spr round 5 (radius: 25)
[04:36:31 -162018.882837] SPR radius for FAST iterations: 25 (autodetect)
[04:36:31 -162018.882837] Model parameter optimization (eps = 3.000000)
[04:36:49 -161740.870769] FAST spr round 1 (radius: 25)
[04:38:17 -142921.495485] FAST spr round 2 (radius: 25)
[04:39:33 -142012.360009] FAST spr round 3 (radius: 25)
[04:40:39 -141983.721169] FAST spr round 4 (radius: 25)
[04:41:39 -141982.948953] FAST spr round 5 (radius: 25)
[04:42:37 -141982.948818] Model parameter optimization (eps = 1.000000)
[04:42:48 -141978.632745] SLOW spr round 1 (radius: 5)
[04:44:07 -141949.878544] SLOW spr round 2 (radius: 5)
[04:45:26 -141948.402361] SLOW spr round 3 (radius: 5)
[04:46:41 -141948.402293] SLOW spr round 4 (radius: 10)
[04:47:57 -141945.384613] SLOW spr round 5 (radius: 5)
[04:49:33 -141943.440037] SLOW spr round 6 (radius: 5)
[04:50:57 -141943.440033] SLOW spr round 7 (radius: 10)
[04:52:16 -141943.440033] SLOW spr round 8 (radius: 15)
[04:54:21 -141943.440033] SLOW spr round 9 (radius: 20)
[04:57:51 -141943.440033] SLOW spr round 10 (radius: 25)
[05:02:36 -141943.440033] Model parameter optimization (eps = 0.100000)

[05:02:44] ML tree search #8, logLikelihood: -141943.102760

[05:02:45 -563569.348204] Initial branch length optimization
[05:02:47 -478047.793617] Model parameter optimization (eps = 10.000000)
[05:03:16 -476465.927863] AUTODETECT spr round 1 (radius: 5)
[05:04:35 -304276.958631] AUTODETECT spr round 2 (radius: 10)
[05:05:59 -220987.297500] AUTODETECT spr round 3 (radius: 15)
[05:07:31 -183410.775329] AUTODETECT spr round 4 (radius: 20)
[05:09:15 -163350.597442] AUTODETECT spr round 5 (radius: 25)
[05:11:17 -162023.151813] SPR radius for FAST iterations: 25 (autodetect)
[05:11:17 -162023.151813] Model parameter optimization (eps = 3.000000)
[05:11:32 -161780.049543] FAST spr round 1 (radius: 25)
[05:13:06 -142739.808375] FAST spr round 2 (radius: 25)
[05:14:22 -142063.467634] FAST spr round 3 (radius: 25)
[05:15:31 -142010.757783] FAST spr round 4 (radius: 25)
[05:16:34 -142008.514395] FAST spr round 5 (radius: 25)
[05:17:34 -142008.513882] Model parameter optimization (eps = 1.000000)
[05:17:45 -142005.018648] SLOW spr round 1 (radius: 5)
[05:19:10 -141966.862066] SLOW spr round 2 (radius: 5)
[05:20:29 -141964.609113] SLOW spr round 3 (radius: 5)
[05:21:47 -141962.389069] SLOW spr round 4 (radius: 5)
[05:23:03 -141962.389014] SLOW spr round 5 (radius: 10)
[05:24:20 -141960.017899] SLOW spr round 6 (radius: 5)
[05:25:57 -141960.017874] SLOW spr round 7 (radius: 10)
[05:27:25 -141960.017874] SLOW spr round 8 (radius: 15)
[05:29:26 -141960.017874] SLOW spr round 9 (radius: 20)
[05:32:53 -141960.017874] SLOW spr round 10 (radius: 25)
[05:37:31 -141960.017874] Model parameter optimization (eps = 0.100000)

[05:37:41] ML tree search #9, logLikelihood: -141959.856302

[05:37:41 -576519.238706] Initial branch length optimization
[05:37:43 -489930.509156] Model parameter optimization (eps = 10.000000)
[05:38:04 -488099.150615] AUTODETECT spr round 1 (radius: 5)
[05:39:19 -306898.399232] AUTODETECT spr round 2 (radius: 10)
[05:40:38 -213524.102681] AUTODETECT spr round 3 (radius: 15)
[05:42:07 -173722.708002] AUTODETECT spr round 4 (radius: 20)
[05:43:51 -161923.852286] AUTODETECT spr round 5 (radius: 25)
[05:45:47 -160152.273854] SPR radius for FAST iterations: 25 (autodetect)
[05:45:47 -160152.273854] Model parameter optimization (eps = 3.000000)
[05:46:03 -159914.428121] FAST spr round 1 (radius: 25)
[05:47:33 -142500.363188] FAST spr round 2 (radius: 25)
[05:48:49 -142033.269655] FAST spr round 3 (radius: 25)
[05:49:57 -142006.614883] FAST spr round 4 (radius: 25)
[05:50:58 -142003.204317] FAST spr round 5 (radius: 25)
[05:51:58 -142003.204308] Model parameter optimization (eps = 1.000000)
[05:52:09 -141996.107803] SLOW spr round 1 (radius: 5)
[05:53:31 -141957.334612] SLOW spr round 2 (radius: 5)
[05:54:51 -141956.477819] SLOW spr round 3 (radius: 5)
[05:56:07 -141956.477446] SLOW spr round 4 (radius: 10)
[05:57:24 -141954.845446] SLOW spr round 5 (radius: 5)
[05:59:01 -141954.845440] SLOW spr round 6 (radius: 10)
[06:00:29 -141954.845440] SLOW spr round 7 (radius: 15)
[06:02:30 -141954.845440] SLOW spr round 8 (radius: 20)
[06:06:01 -141954.845440] SLOW spr round 9 (radius: 25)
[06:10:47 -141954.845440] Model parameter optimization (eps = 0.100000)

[06:10:53] ML tree search #10, logLikelihood: -141954.682479

[06:10:53 -572973.609791] Initial branch length optimization
[06:10:55 -484968.456213] Model parameter optimization (eps = 10.000000)
[06:11:29 -483322.837542] AUTODETECT spr round 1 (radius: 5)
[06:12:50 -293571.309992] AUTODETECT spr round 2 (radius: 10)
[06:14:12 -210343.018448] AUTODETECT spr round 3 (radius: 15)
[06:15:48 -172255.719318] AUTODETECT spr round 4 (radius: 20)
[06:17:42 -163499.077410] AUTODETECT spr round 5 (radius: 25)
[06:19:55 -163282.266941] SPR radius for FAST iterations: 25 (autodetect)
[06:19:55 -163282.266941] Model parameter optimization (eps = 3.000000)
[06:20:14 -162971.782110] FAST spr round 1 (radius: 25)
[06:21:45 -143011.464367] FAST spr round 2 (radius: 25)
[06:23:04 -142103.767089] FAST spr round 3 (radius: 25)
[06:24:16 -142000.831746] FAST spr round 4 (radius: 25)
[06:25:22 -141993.127701] FAST spr round 5 (radius: 25)
[06:26:26 -141993.127683] Model parameter optimization (eps = 1.000000)
[06:26:41 -141986.665025] SLOW spr round 1 (radius: 5)
[06:28:08 -141958.857693] SLOW spr round 2 (radius: 5)
[06:29:30 -141951.782719] SLOW spr round 3 (radius: 5)
[06:30:50 -141949.737753] SLOW spr round 4 (radius: 5)
[06:32:05 -141949.737715] SLOW spr round 5 (radius: 10)
[06:33:21 -141948.467432] SLOW spr round 6 (radius: 5)
[06:34:57 -141947.161555] SLOW spr round 7 (radius: 5)
[06:36:23 -141946.478113] SLOW spr round 8 (radius: 5)
[06:37:42 -141946.477926] SLOW spr round 9 (radius: 10)
[06:38:58 -141946.477925] SLOW spr round 10 (radius: 15)
[06:41:04 -141946.477925] SLOW spr round 11 (radius: 20)
[06:44:29 -141944.122198] SLOW spr round 12 (radius: 5)
[06:46:15 -141944.122138] SLOW spr round 13 (radius: 10)
[06:47:52 -141944.122137] SLOW spr round 14 (radius: 15)
[06:49:55 -141944.122137] SLOW spr round 15 (radius: 20)
[06:53:30 -141944.122137] SLOW spr round 16 (radius: 25)
[06:58:20 -141944.122137] Model parameter optimization (eps = 0.100000)

[06:58:29] ML tree search #11, logLikelihood: -141943.653822

[06:58:29 -572220.429973] Initial branch length optimization
[06:58:31 -485473.201126] Model parameter optimization (eps = 10.000000)
[06:58:52 -483701.178959] AUTODETECT spr round 1 (radius: 5)
[07:00:14 -313201.752720] AUTODETECT spr round 2 (radius: 10)
[07:01:37 -227562.140992] AUTODETECT spr round 3 (radius: 15)
[07:03:07 -191322.119845] AUTODETECT spr round 4 (radius: 20)
[07:04:52 -171837.047500] AUTODETECT spr round 5 (radius: 25)
[07:06:56 -166658.448185] SPR radius for FAST iterations: 25 (autodetect)
[07:06:56 -166658.448185] Model parameter optimization (eps = 3.000000)
[07:07:17 -166448.318317] FAST spr round 1 (radius: 25)
[07:08:53 -143314.359389] FAST spr round 2 (radius: 25)
[07:10:12 -142085.600357] FAST spr round 3 (radius: 25)
[07:11:22 -141988.123574] FAST spr round 4 (radius: 25)
[07:12:27 -141975.608868] FAST spr round 5 (radius: 25)
[07:13:31 -141973.806835] FAST spr round 6 (radius: 25)
[07:14:32 -141973.806283] Model parameter optimization (eps = 1.000000)
[07:14:43 -141972.722800] SLOW spr round 1 (radius: 5)
[07:16:07 -141950.902193] SLOW spr round 2 (radius: 5)
[07:17:30 -141950.901509] SLOW spr round 3 (radius: 10)
[07:18:49 -141950.013292] SLOW spr round 4 (radius: 5)
[07:20:28 -141948.377503] SLOW spr round 5 (radius: 5)
[07:21:55 -141948.377501] SLOW spr round 6 (radius: 10)
[07:23:18 -141948.377501] SLOW spr round 7 (radius: 15)
[07:25:24 -141948.377501] SLOW spr round 8 (radius: 20)
[07:28:52 -141946.405762] SLOW spr round 9 (radius: 5)
[07:30:34 -141946.405691] SLOW spr round 10 (radius: 10)
[07:32:08 -141946.405690] SLOW spr round 11 (radius: 15)
[07:34:08 -141946.405690] SLOW spr round 12 (radius: 20)
[07:37:42 -141946.405690] SLOW spr round 13 (radius: 25)
[07:42:26 -141946.405690] Model parameter optimization (eps = 0.100000)

[07:42:34] ML tree search #12, logLikelihood: -141946.201402

[07:42:34 -571192.938083] Initial branch length optimization
[07:42:37 -483908.223447] Model parameter optimization (eps = 10.000000)
[07:42:59 -482409.379185] AUTODETECT spr round 1 (radius: 5)
[07:44:20 -311043.311019] AUTODETECT spr round 2 (radius: 10)
[07:45:44 -209525.279740] AUTODETECT spr round 3 (radius: 15)
[07:47:17 -168721.213822] AUTODETECT spr round 4 (radius: 20)
[07:49:01 -157294.155544] AUTODETECT spr round 5 (radius: 25)
[07:51:07 -156516.898735] SPR radius for FAST iterations: 25 (autodetect)
[07:51:07 -156516.898735] Model parameter optimization (eps = 3.000000)
[07:51:21 -156274.423889] FAST spr round 1 (radius: 25)
[07:52:58 -142666.896214] FAST spr round 2 (radius: 25)
[07:54:10 -142079.456690] FAST spr round 3 (radius: 25)
[07:55:18 -141989.884003] FAST spr round 4 (radius: 25)
[07:56:23 -141987.215188] FAST spr round 5 (radius: 25)
[07:57:25 -141987.215178] Model parameter optimization (eps = 1.000000)
[07:57:35 -141984.304948] SLOW spr round 1 (radius: 5)
[07:58:59 -141953.066360] SLOW spr round 2 (radius: 5)
[08:00:23 -141950.433279] SLOW spr round 3 (radius: 5)
[08:01:43 -141950.432927] SLOW spr round 4 (radius: 10)
[08:03:06 -141947.528357] SLOW spr round 5 (radius: 5)
[08:04:49 -141945.390247] SLOW spr round 6 (radius: 5)
[08:06:17 -141945.390247] SLOW spr round 7 (radius: 10)
[08:07:41 -141943.712666] SLOW spr round 8 (radius: 5)
[08:09:19 -141943.712448] SLOW spr round 9 (radius: 10)
[08:10:48 -141943.712448] SLOW spr round 10 (radius: 15)
[08:12:55 -141943.712448] SLOW spr round 11 (radius: 20)
[08:16:27 -141943.712448] SLOW spr round 12 (radius: 25)
[08:21:15 -141943.712448] Model parameter optimization (eps = 0.100000)

[08:21:20] ML tree search #13, logLikelihood: -141943.677456

[08:21:20 -571443.322913] Initial branch length optimization
[08:21:23 -483651.677729] Model parameter optimization (eps = 10.000000)
[08:21:46 -481872.008101] AUTODETECT spr round 1 (radius: 5)
[08:23:05 -299245.942963] AUTODETECT spr round 2 (radius: 10)
[08:24:28 -217887.658822] AUTODETECT spr round 3 (radius: 15)
[08:26:00 -177807.429619] AUTODETECT spr round 4 (radius: 20)
[08:27:39 -167388.303509] AUTODETECT spr round 5 (radius: 25)
[08:29:55 -162581.594058] SPR radius for FAST iterations: 25 (autodetect)
[08:29:55 -162581.594058] Model parameter optimization (eps = 3.000000)
[08:30:15 -162325.734766] FAST spr round 1 (radius: 25)
[08:31:49 -142725.754309] FAST spr round 2 (radius: 25)
[08:33:06 -142030.349788] FAST spr round 3 (radius: 25)
[08:34:11 -142002.084818] FAST spr round 4 (radius: 25)
[08:35:13 -142000.675184] FAST spr round 5 (radius: 25)
[08:36:13 -142000.675036] Model parameter optimization (eps = 1.000000)
[08:36:24 -141998.538344] SLOW spr round 1 (radius: 5)
[08:37:49 -141959.322424] SLOW spr round 2 (radius: 5)
[08:39:11 -141953.144794] SLOW spr round 3 (radius: 5)
[08:40:30 -141953.144597] SLOW spr round 4 (radius: 10)
[08:41:49 -141951.341987] SLOW spr round 5 (radius: 5)
[08:43:29 -141949.412623] SLOW spr round 6 (radius: 5)
[08:44:56 -141949.412621] SLOW spr round 7 (radius: 10)
[08:46:16 -141949.412621] SLOW spr round 8 (radius: 15)
[08:48:22 -141949.412621] SLOW spr round 9 (radius: 20)
[08:51:52 -141949.412621] SLOW spr round 10 (radius: 25)
[08:56:36 -141949.412621] Model parameter optimization (eps = 0.100000)

[08:56:42] ML tree search #14, logLikelihood: -141949.380293

[08:56:42 -572831.370543] Initial branch length optimization
[08:56:46 -487274.479563] Model parameter optimization (eps = 10.000000)
[08:57:17 -485350.586158] AUTODETECT spr round 1 (radius: 5)
[08:58:33 -311996.405391] AUTODETECT spr round 2 (radius: 10)
[09:00:00 -213065.107492] AUTODETECT spr round 3 (radius: 15)
[09:01:32 -176286.574770] AUTODETECT spr round 4 (radius: 20)
[09:03:21 -162754.880448] AUTODETECT spr round 5 (radius: 25)
[09:05:05 -161857.058060] SPR radius for FAST iterations: 25 (autodetect)
[09:05:05 -161857.058060] Model parameter optimization (eps = 3.000000)
[09:05:21 -161645.779028] FAST spr round 1 (radius: 25)
[09:06:55 -143302.456520] FAST spr round 2 (radius: 25)
[09:08:12 -142066.943030] FAST spr round 3 (radius: 25)
[09:09:22 -142017.266586] FAST spr round 4 (radius: 25)
[09:10:27 -142017.253222] Model parameter optimization (eps = 1.000000)
[09:10:41 -142014.175042] SLOW spr round 1 (radius: 5)
[09:12:05 -141970.237717] SLOW spr round 2 (radius: 5)
[09:13:28 -141966.278843] SLOW spr round 3 (radius: 5)
[09:14:49 -141966.278622] SLOW spr round 4 (radius: 10)
[09:16:11 -141961.165424] SLOW spr round 5 (radius: 5)
[09:17:55 -141956.612616] SLOW spr round 6 (radius: 5)
[09:19:24 -141956.612609] SLOW spr round 7 (radius: 10)
[09:20:49 -141956.612608] SLOW spr round 8 (radius: 15)
[09:23:00 -141956.612608] SLOW spr round 9 (radius: 20)
[09:26:33 -141956.612608] SLOW spr round 10 (radius: 25)
[09:31:22 -141956.612608] Model parameter optimization (eps = 0.100000)

[09:31:31] ML tree search #15, logLikelihood: -141956.034363

[09:31:31 -572331.190840] Initial branch length optimization
[09:31:34 -484768.275371] Model parameter optimization (eps = 10.000000)
[09:32:00 -483188.824544] AUTODETECT spr round 1 (radius: 5)
[09:33:23 -310029.899845] AUTODETECT spr round 2 (radius: 10)
[09:34:46 -223000.812952] AUTODETECT spr round 3 (radius: 15)
[09:36:17 -184367.679762] AUTODETECT spr round 4 (radius: 20)
[09:38:02 -166801.412867] AUTODETECT spr round 5 (radius: 25)
[09:39:50 -163799.414780] SPR radius for FAST iterations: 25 (autodetect)
[09:39:50 -163799.414780] Model parameter optimization (eps = 3.000000)
[09:40:13 -163520.601744] FAST spr round 1 (radius: 25)
[09:41:46 -143881.600502] FAST spr round 2 (radius: 25)
[09:43:05 -142181.259587] FAST spr round 3 (radius: 25)
[09:44:16 -142094.519505] FAST spr round 4 (radius: 25)
[09:45:21 -142014.804200] FAST spr round 5 (radius: 25)
[09:46:22 -142010.765883] FAST spr round 6 (radius: 25)
[09:47:23 -142010.765638] Model parameter optimization (eps = 1.000000)
[09:47:38 -142005.343958] SLOW spr round 1 (radius: 5)
[09:48:57 -141973.603415] SLOW spr round 2 (radius: 5)
[09:50:17 -141963.575082] SLOW spr round 3 (radius: 5)
[09:51:33 -141963.574853] SLOW spr round 4 (radius: 10)
[09:52:51 -141961.174876] SLOW spr round 5 (radius: 5)
[09:54:27 -141961.174864] SLOW spr round 6 (radius: 10)
[09:55:54 -141961.174864] SLOW spr round 7 (radius: 15)
[09:57:55 -141961.174864] SLOW spr round 8 (radius: 20)
[10:01:23 -141961.174864] SLOW spr round 9 (radius: 25)
[10:05:21 -141961.174864] Model parameter optimization (eps = 0.100000)

[10:05:29] ML tree search #16, logLikelihood: -141960.993130

[10:05:29 -570443.470466] Initial branch length optimization
[10:05:32 -484455.593675] Model parameter optimization (eps = 10.000000)
[10:05:48 -482733.701257] AUTODETECT spr round 1 (radius: 5)
[10:06:55 -303259.578218] AUTODETECT spr round 2 (radius: 10)
[10:08:02 -215664.749611] AUTODETECT spr round 3 (radius: 15)
[10:09:16 -173804.583222] AUTODETECT spr round 4 (radius: 20)
[10:10:38 -160915.657358] AUTODETECT spr round 5 (radius: 25)
[10:12:02 -158808.580523] SPR radius for FAST iterations: 25 (autodetect)
[10:12:02 -158808.580523] Model parameter optimization (eps = 3.000000)
[10:12:18 -158558.020898] FAST spr round 1 (radius: 25)
[10:13:34 -142712.109921] FAST spr round 2 (radius: 25)
[10:14:39 -142070.708934] FAST spr round 3 (radius: 25)
[10:15:39 -142001.697572] FAST spr round 4 (radius: 25)
[10:16:32 -141994.313075] FAST spr round 5 (radius: 25)
[10:17:23 -141994.312176] Model parameter optimization (eps = 1.000000)
[10:17:32 -141991.557366] SLOW spr round 1 (radius: 5)
[10:18:40 -141961.330398] SLOW spr round 2 (radius: 5)
[10:19:48 -141959.994968] SLOW spr round 3 (radius: 5)
[10:20:53 -141959.994252] SLOW spr round 4 (radius: 10)
[10:21:59 -141959.099889] SLOW spr round 5 (radius: 5)
[10:23:22 -141957.442567] SLOW spr round 6 (radius: 5)
[10:24:34 -141957.442561] SLOW spr round 7 (radius: 10)
[10:25:43 -141957.442559] SLOW spr round 8 (radius: 15)
[10:27:30 -141957.442559] SLOW spr round 9 (radius: 20)
[10:30:24 -141957.442559] SLOW spr round 10 (radius: 25)
[10:34:23 -141957.442559] Model parameter optimization (eps = 0.100000)

[10:34:28] ML tree search #17, logLikelihood: -141957.378079

[10:34:28 -576187.265818] Initial branch length optimization
[10:34:31 -488390.186032] Model parameter optimization (eps = 10.000000)
[10:34:50 -486448.436308] AUTODETECT spr round 1 (radius: 5)
[10:35:57 -306224.164946] AUTODETECT spr round 2 (radius: 10)
[10:37:05 -217260.946847] AUTODETECT spr round 3 (radius: 15)
[10:38:23 -178338.483258] AUTODETECT spr round 4 (radius: 20)
[10:39:57 -166004.788876] AUTODETECT spr round 5 (radius: 25)
[10:41:51 -163127.793928] SPR radius for FAST iterations: 25 (autodetect)
[10:41:51 -163127.793928] Model parameter optimization (eps = 3.000000)
[10:42:04 -162849.704672] FAST spr round 1 (radius: 25)
[10:43:23 -142840.701257] FAST spr round 2 (radius: 25)
[10:44:24 -142169.900241] FAST spr round 3 (radius: 25)
[10:45:20 -142003.081447] FAST spr round 4 (radius: 25)
[10:46:12 -142002.695666] FAST spr round 5 (radius: 25)
[10:47:08 -142002.695550] Model parameter optimization (eps = 1.000000)
[10:47:18 -141997.301996] SLOW spr round 1 (radius: 5)
[10:48:36 -141963.959489] SLOW spr round 2 (radius: 5)
[10:49:54 -141957.214572] SLOW spr round 3 (radius: 5)
[10:51:08 -141957.213366] SLOW spr round 4 (radius: 10)
[10:52:23 -141956.587606] SLOW spr round 5 (radius: 5)
[10:53:56 -141953.855509] SLOW spr round 6 (radius: 5)
[10:55:18 -141953.855508] SLOW spr round 7 (radius: 10)
[10:56:35 -141953.855508] SLOW spr round 8 (radius: 15)
[10:58:34 -141953.855508] SLOW spr round 9 (radius: 20)
[11:02:02 -141951.544072] SLOW spr round 10 (radius: 5)
[11:03:45 -141951.543997] SLOW spr round 11 (radius: 10)
[11:05:19 -141951.543996] SLOW spr round 12 (radius: 15)
[11:07:21 -141951.543996] SLOW spr round 13 (radius: 20)
[11:10:54 -141951.543996] SLOW spr round 14 (radius: 25)
[11:15:35 -141951.543996] Model parameter optimization (eps = 0.100000)

[11:15:39] ML tree search #18, logLikelihood: -141951.459119

[11:15:39 -568531.791446] Initial branch length optimization
[11:15:42 -481935.745376] Model parameter optimization (eps = 10.000000)
[11:16:08 -480326.151760] AUTODETECT spr round 1 (radius: 5)
[11:17:27 -301736.509170] AUTODETECT spr round 2 (radius: 10)
[11:18:46 -223743.004413] AUTODETECT spr round 3 (radius: 15)
[11:20:17 -186645.799060] AUTODETECT spr round 4 (radius: 20)
[11:21:59 -166214.407588] AUTODETECT spr round 5 (radius: 25)
[11:23:42 -163055.811919] SPR radius for FAST iterations: 25 (autodetect)
[11:23:42 -163055.811919] Model parameter optimization (eps = 3.000000)
[11:24:03 -162807.230367] FAST spr round 1 (radius: 25)
[11:25:38 -143039.302942] FAST spr round 2 (radius: 25)
[11:26:57 -142064.956040] FAST spr round 3 (radius: 25)
[11:28:07 -142018.115956] FAST spr round 4 (radius: 25)
[11:29:09 -142008.531299] FAST spr round 5 (radius: 25)
[11:30:09 -142007.739576] FAST spr round 6 (radius: 25)
[11:31:07 -142007.739527] Model parameter optimization (eps = 1.000000)
[11:31:21 -142004.289847] SLOW spr round 1 (radius: 5)
[11:32:44 -141967.965407] SLOW spr round 2 (radius: 5)
[11:34:07 -141960.789100] SLOW spr round 3 (radius: 5)
[11:35:23 -141959.911496] SLOW spr round 4 (radius: 5)
[11:36:39 -141959.911447] SLOW spr round 5 (radius: 10)
[11:37:56 -141956.726189] SLOW spr round 6 (radius: 5)
[11:39:34 -141953.587716] SLOW spr round 7 (radius: 5)
[11:41:00 -141953.587715] SLOW spr round 8 (radius: 10)
[11:42:22 -141953.587701] SLOW spr round 9 (radius: 15)
[11:44:26 -141953.587701] SLOW spr round 10 (radius: 20)
[11:47:52 -141953.587700] SLOW spr round 11 (radius: 25)
[11:52:35 -141953.587700] Model parameter optimization (eps = 0.100000)

[11:52:41] ML tree search #19, logLikelihood: -141953.538410

[11:52:41 -575138.710675] Initial branch length optimization
[11:52:44 -488407.136722] Model parameter optimization (eps = 10.000000)
[11:53:07 -486378.818082] AUTODETECT spr round 1 (radius: 5)
[11:54:23 -301869.830699] AUTODETECT spr round 2 (radius: 10)
[11:55:35 -214008.927167] AUTODETECT spr round 3 (radius: 15)
[11:56:52 -178782.009926] AUTODETECT spr round 4 (radius: 20)
[11:58:22 -167906.148046] AUTODETECT spr round 5 (radius: 25)
[12:00:12 -161368.157878] SPR radius for FAST iterations: 25 (autodetect)
[12:00:12 -161368.157878] Model parameter optimization (eps = 3.000000)
[12:00:28 -161165.791613] FAST spr round 1 (radius: 25)
[12:01:46 -142897.906320] FAST spr round 2 (radius: 25)
[12:02:50 -142056.285795] FAST spr round 3 (radius: 25)
[12:03:59 -141988.303270] FAST spr round 4 (radius: 25)
[12:05:04 -141985.883989] FAST spr round 5 (radius: 25)
[12:06:07 -141985.883891] Model parameter optimization (eps = 1.000000)
[12:06:19 -141980.758201] SLOW spr round 1 (radius: 5)
[12:07:44 -141960.890439] SLOW spr round 2 (radius: 5)
[12:09:06 -141960.125869] SLOW spr round 3 (radius: 5)
[12:10:24 -141960.125676] SLOW spr round 4 (radius: 10)
[12:11:44 -141959.243416] SLOW spr round 5 (radius: 5)
[12:13:26 -141957.574511] SLOW spr round 6 (radius: 5)
[12:14:53 -141957.574510] SLOW spr round 7 (radius: 10)
[12:16:14 -141957.574510] SLOW spr round 8 (radius: 15)
[12:18:22 -141957.574510] SLOW spr round 9 (radius: 20)
[12:21:51 -141957.574510] SLOW spr round 10 (radius: 25)
[12:26:37 -141957.574510] Model parameter optimization (eps = 0.100000)

[12:26:45] ML tree search #20, logLikelihood: -141957.431674


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.144382,0.452118) (0.079569,0.317067) (0.288291,0.640296) (0.487758,1.486192) 
   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: -141939.530263

AIC score: 287133.060525 / AICc score: 5584645.060525 / BIC score: 294270.513178
Free parameters (model + branch lengths): 1627

WARNING: Number of free parameters (K=1627) is larger than alignment size (n=594).
         This might lead to overfitting and compromise tree inference results!


Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q0VAK6/3_mltree/Q0VAK6.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q0VAK6/3_mltree/Q0VAK6.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q0VAK6/3_mltree/Q0VAK6.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q0VAK6/3_mltree/Q0VAK6.raxml.log

Analysis started: 06-Jul-2021 02:05:57 / finished: 06-Jul-2021 14:32:43

Elapsed time: 44806.022 seconds

Consumed energy: 4139.583 Wh (= 21 km in an electric car, or 103 km with an e-scooter!)