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 03-Jul-2021 12:37:51 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q2V2M9/2_msa/Q2V2M9_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q2V2M9/3_mltree/Q2V2M9 --seed 2 --threads 8 --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 (8 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q2V2M9/2_msa/Q2V2M9_trimmed_msa.fasta
[00:00:00] Loaded alignment with 449 taxa and 1193 sites

WARNING: Sequences tr_A0A0K0JVF6_A0A0K0JVF6_BRUMA_6279 and tr_A0A0N4T6C5_A0A0N4T6C5_BRUPA_6280 are exactly identical!
WARNING: Sequences tr_A0A096N6R3_A0A096N6R3_PAPAN_9555 and tr_A0A2K5N4D0_A0A2K5N4D0_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A0K0F4C3_A0A0K0F4C3_STRVS_75913 and tr_A0A0K0E9Q9_A0A0K0E9Q9_STRER_6248 are exactly identical!
WARNING: Sequences tr_A0A0K0F4C3_A0A0K0F4C3_STRVS_75913 and tr_A0A0N5C408_A0A0N5C408_STREA_174720 are exactly identical!
WARNING: Sequences tr_A0A2D0R829_A0A2D0R829_ICTPU_7998 and tr_A0A2D0R831_A0A2D0R831_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0R829_A0A2D0R829_ICTPU_7998 and tr_A0A2D0R9J8_A0A2D0R9J8_ICTPU_7998 are exactly identical!
WARNING: Duplicate sequences found: 6

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/Q2V2M9/3_mltree/Q2V2M9.raxml.reduced.phy

Alignment comprises 1 partitions and 1193 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 1193 / 1193
Gaps: 35.42 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q2V2M9/3_mltree/Q2V2M9.raxml.rba

Parallelization scheme autoconfig: 1 worker(s) x 8 thread(s)

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

[00:00:00] Generating 20 random starting tree(s) with 449 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 150 / 12000
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -551067.773618] Initial branch length optimization
[00:00:02 -449122.545854] Model parameter optimization (eps = 10.000000)
[00:00:25 -447235.954158] AUTODETECT spr round 1 (radius: 5)
[00:00:52 -326862.633274] AUTODETECT spr round 2 (radius: 10)
[00:01:24 -274800.182816] AUTODETECT spr round 3 (radius: 15)
[00:02:02 -226261.665106] AUTODETECT spr round 4 (radius: 20)
[00:02:49 -215984.416926] AUTODETECT spr round 5 (radius: 25)
[00:03:41 -215769.251954] SPR radius for FAST iterations: 25 (autodetect)
[00:03:41 -215769.251954] Model parameter optimization (eps = 3.000000)
[00:03:54 -215209.231445] FAST spr round 1 (radius: 25)
[00:04:48 -198356.114949] FAST spr round 2 (radius: 25)
[00:05:30 -197181.259055] FAST spr round 3 (radius: 25)
[00:06:04 -196970.665172] FAST spr round 4 (radius: 25)
[00:06:32 -196946.471804] FAST spr round 5 (radius: 25)
[00:06:58 -196945.351979] FAST spr round 6 (radius: 25)
[00:07:22 -196945.348418] Model parameter optimization (eps = 1.000000)
[00:07:30 -196937.207571] SLOW spr round 1 (radius: 5)
[00:08:11 -196896.225686] SLOW spr round 2 (radius: 5)
[00:08:50 -196892.658282] SLOW spr round 3 (radius: 5)
[00:09:29 -196890.848071] SLOW spr round 4 (radius: 5)
[00:10:08 -196890.830324] SLOW spr round 5 (radius: 10)
[00:10:54 -196890.153964] SLOW spr round 6 (radius: 5)
[00:11:46 -196890.151861] SLOW spr round 7 (radius: 10)
[00:12:42 -196889.699241] SLOW spr round 8 (radius: 5)
[00:13:33 -196889.675863] SLOW spr round 9 (radius: 10)
[00:14:28 -196889.674477] SLOW spr round 10 (radius: 15)
[00:15:54 -196889.673985] SLOW spr round 11 (radius: 20)
[00:17:50 -196883.298635] SLOW spr round 12 (radius: 5)
[00:18:45 -196883.137188] SLOW spr round 13 (radius: 5)
[00:19:33 -196883.137114] SLOW spr round 14 (radius: 10)
[00:20:24 -196883.137104] SLOW spr round 15 (radius: 15)
[00:21:50 -196883.137099] SLOW spr round 16 (radius: 20)
[00:23:46 -196883.137096] SLOW spr round 17 (radius: 25)
[00:25:57 -196883.137095] Model parameter optimization (eps = 0.100000)

[00:26:03] ML tree search #1, logLikelihood: -196882.524181

[00:26:03 -550348.072281] Initial branch length optimization
[00:26:05 -447499.327527] Model parameter optimization (eps = 10.000000)
[00:26:28 -445694.136038] AUTODETECT spr round 1 (radius: 5)
[00:26:56 -331087.250042] AUTODETECT spr round 2 (radius: 10)
[00:27:30 -261304.056007] AUTODETECT spr round 3 (radius: 15)
[00:28:15 -222322.044440] AUTODETECT spr round 4 (radius: 20)
[00:29:15 -216940.689236] AUTODETECT spr round 5 (radius: 25)
[00:30:11 -214139.821031] SPR radius for FAST iterations: 25 (autodetect)
[00:30:11 -214139.821031] Model parameter optimization (eps = 3.000000)
[00:30:24 -213641.747280] FAST spr round 1 (radius: 25)
[00:31:12 -197517.354794] FAST spr round 2 (radius: 25)
[00:31:49 -196998.231391] FAST spr round 3 (radius: 25)
[00:32:21 -196968.903645] FAST spr round 4 (radius: 25)
[00:32:49 -196946.191871] FAST spr round 5 (radius: 25)
[00:33:14 -196945.592323] FAST spr round 6 (radius: 25)
[00:33:38 -196945.589149] Model parameter optimization (eps = 1.000000)
[00:33:48 -196933.837807] SLOW spr round 1 (radius: 5)
[00:34:28 -196883.104352] SLOW spr round 2 (radius: 5)
[00:35:07 -196878.937648] SLOW spr round 3 (radius: 5)
[00:35:46 -196878.855377] SLOW spr round 4 (radius: 10)
[00:36:30 -196878.504826] SLOW spr round 5 (radius: 5)
[00:37:22 -196878.296616] SLOW spr round 6 (radius: 5)
[00:38:07 -196878.294204] SLOW spr round 7 (radius: 10)
[00:38:55 -196878.293365] SLOW spr round 8 (radius: 15)
[00:40:20 -196876.099804] SLOW spr round 9 (radius: 5)
[00:41:15 -196872.477345] SLOW spr round 10 (radius: 5)
[00:42:02 -196872.473880] SLOW spr round 11 (radius: 10)
[00:42:51 -196868.793031] SLOW spr round 12 (radius: 5)
[00:43:42 -196868.791020] SLOW spr round 13 (radius: 10)
[00:44:35 -196868.790781] SLOW spr round 14 (radius: 15)
[00:45:58 -196868.790720] SLOW spr round 15 (radius: 20)
[00:47:55 -196868.790694] SLOW spr round 16 (radius: 25)
[00:50:00 -196868.790683] Model parameter optimization (eps = 0.100000)

[00:50:07] ML tree search #2, logLikelihood: -196868.462391

[00:50:07 -542953.860032] Initial branch length optimization
[00:50:08 -442672.321554] Model parameter optimization (eps = 10.000000)
[00:50:32 -440964.964574] AUTODETECT spr round 1 (radius: 5)
[00:51:00 -320632.282823] AUTODETECT spr round 2 (radius: 10)
[00:51:33 -248374.037998] AUTODETECT spr round 3 (radius: 15)
[00:52:13 -218096.445095] AUTODETECT spr round 4 (radius: 20)
[00:53:02 -210579.633335] AUTODETECT spr round 5 (radius: 25)
[00:54:01 -210269.621730] SPR radius for FAST iterations: 25 (autodetect)
[00:54:01 -210269.621730] Model parameter optimization (eps = 3.000000)
[00:54:18 -209690.353320] FAST spr round 1 (radius: 25)
[00:55:09 -197393.282670] FAST spr round 2 (radius: 25)
[00:55:48 -197015.369015] FAST spr round 3 (radius: 25)
[00:56:23 -196957.962037] FAST spr round 4 (radius: 25)
[00:56:51 -196948.828961] FAST spr round 5 (radius: 25)
[00:57:17 -196947.608789] FAST spr round 6 (radius: 25)
[00:57:41 -196947.605728] Model parameter optimization (eps = 1.000000)
[00:57:50 -196937.862938] SLOW spr round 1 (radius: 5)
[00:58:32 -196895.083768] SLOW spr round 2 (radius: 5)
[00:59:12 -196889.570220] SLOW spr round 3 (radius: 5)
[00:59:51 -196886.391400] SLOW spr round 4 (radius: 5)
[01:00:30 -196886.305566] SLOW spr round 5 (radius: 10)
[01:01:14 -196886.298361] SLOW spr round 6 (radius: 15)
[01:02:46 -196886.291148] SLOW spr round 7 (radius: 20)
[01:04:47 -196878.978686] SLOW spr round 8 (radius: 5)
[01:05:43 -196878.826101] SLOW spr round 9 (radius: 5)
[01:06:30 -196878.825962] SLOW spr round 10 (radius: 10)
[01:07:21 -196878.825934] SLOW spr round 11 (radius: 15)
[01:08:48 -196878.825924] SLOW spr round 12 (radius: 20)
[01:10:46 -196878.825919] SLOW spr round 13 (radius: 25)
[01:12:53 -196878.825917] Model parameter optimization (eps = 0.100000)

[01:12:58] ML tree search #3, logLikelihood: -196878.607414

[01:12:58 -551220.025698] Initial branch length optimization
[01:12:59 -447204.529489] Model parameter optimization (eps = 10.000000)
[01:13:27 -445479.460526] AUTODETECT spr round 1 (radius: 5)
[01:13:55 -329957.216873] AUTODETECT spr round 2 (radius: 10)
[01:14:28 -262713.780481] AUTODETECT spr round 3 (radius: 15)
[01:15:07 -221842.566239] AUTODETECT spr round 4 (radius: 20)
[01:15:54 -213601.323562] AUTODETECT spr round 5 (radius: 25)
[01:16:51 -212378.938202] SPR radius for FAST iterations: 25 (autodetect)
[01:16:51 -212378.938202] Model parameter optimization (eps = 3.000000)
[01:17:04 -211797.889380] FAST spr round 1 (radius: 25)
[01:17:58 -197343.057975] FAST spr round 2 (radius: 25)
[01:18:37 -196933.711284] FAST spr round 3 (radius: 25)
[01:19:08 -196913.396167] FAST spr round 4 (radius: 25)
[01:19:34 -196913.338792] Model parameter optimization (eps = 1.000000)
[01:19:41 -196906.778405] SLOW spr round 1 (radius: 5)
[01:20:20 -196876.084139] SLOW spr round 2 (radius: 5)
[01:20:59 -196873.017692] SLOW spr round 3 (radius: 5)
[01:21:37 -196872.870056] SLOW spr round 4 (radius: 5)
[01:22:15 -196872.843183] SLOW spr round 5 (radius: 10)
[01:22:59 -196871.724199] SLOW spr round 6 (radius: 5)
[01:23:51 -196871.706668] SLOW spr round 7 (radius: 10)
[01:24:44 -196869.749720] SLOW spr round 8 (radius: 5)
[01:25:35 -196869.746050] SLOW spr round 9 (radius: 10)
[01:26:27 -196869.745417] SLOW spr round 10 (radius: 15)
[01:27:50 -196869.519888] SLOW spr round 11 (radius: 5)
[01:28:45 -196869.501136] SLOW spr round 12 (radius: 10)
[01:29:41 -196869.500398] SLOW spr round 13 (radius: 15)
[01:31:06 -196869.500126] SLOW spr round 14 (radius: 20)
[01:33:03 -196869.500027] SLOW spr round 15 (radius: 25)
[01:35:08 -196869.499991] Model parameter optimization (eps = 0.100000)

[01:35:12] ML tree search #4, logLikelihood: -196869.278578

[01:35:12 -545709.014369] Initial branch length optimization
[01:35:14 -447960.493548] Model parameter optimization (eps = 10.000000)
[01:35:47 -446221.582327] AUTODETECT spr round 1 (radius: 5)
[01:36:14 -331303.027454] AUTODETECT spr round 2 (radius: 10)
[01:36:48 -255215.888316] AUTODETECT spr round 3 (radius: 15)
[01:37:26 -219600.231775] AUTODETECT spr round 4 (radius: 20)
[01:38:20 -216741.831674] AUTODETECT spr round 5 (radius: 25)
[01:39:26 -216492.361345] SPR radius for FAST iterations: 25 (autodetect)
[01:39:26 -216492.361345] Model parameter optimization (eps = 3.000000)
[01:39:41 -215995.812509] FAST spr round 1 (radius: 25)
[01:40:36 -197550.722515] FAST spr round 2 (radius: 25)
[01:41:14 -196999.029724] FAST spr round 3 (radius: 25)
[01:41:47 -196926.400684] FAST spr round 4 (radius: 25)
[01:42:16 -196917.583202] FAST spr round 5 (radius: 25)
[01:42:41 -196917.558074] Model parameter optimization (eps = 1.000000)
[01:42:50 -196908.156360] SLOW spr round 1 (radius: 5)
[01:43:29 -196879.806018] SLOW spr round 2 (radius: 5)
[01:44:09 -196877.379862] SLOW spr round 3 (radius: 5)
[01:44:47 -196877.234902] SLOW spr round 4 (radius: 5)
[01:45:27 -196876.469065] SLOW spr round 5 (radius: 5)
[01:46:06 -196876.430964] SLOW spr round 6 (radius: 10)
[01:46:49 -196876.427845] SLOW spr round 7 (radius: 15)
[01:48:20 -196876.122758] SLOW spr round 8 (radius: 5)
[01:49:14 -196876.054129] SLOW spr round 9 (radius: 10)
[01:50:11 -196876.051932] SLOW spr round 10 (radius: 15)
[01:51:35 -196876.051830] SLOW spr round 11 (radius: 20)
[01:53:33 -196876.051820] SLOW spr round 12 (radius: 25)
[01:55:42 -196876.051817] Model parameter optimization (eps = 0.100000)

[01:55:45] ML tree search #5, logLikelihood: -196876.007900

[01:55:45 -548746.935360] Initial branch length optimization
[01:55:47 -447468.427035] Model parameter optimization (eps = 10.000000)
[01:56:13 -445683.560182] AUTODETECT spr round 1 (radius: 5)
[01:56:41 -334249.985919] AUTODETECT spr round 2 (radius: 10)
[01:57:15 -255090.403711] AUTODETECT spr round 3 (radius: 15)
[01:57:55 -220075.779421] AUTODETECT spr round 4 (radius: 20)
[01:58:40 -211423.556406] AUTODETECT spr round 5 (radius: 25)
[01:59:37 -211162.083738] SPR radius for FAST iterations: 25 (autodetect)
[01:59:37 -211162.083738] Model parameter optimization (eps = 3.000000)
[01:59:52 -210640.944469] FAST spr round 1 (radius: 25)
[02:00:42 -197618.313007] FAST spr round 2 (radius: 25)
[02:01:22 -197029.128341] FAST spr round 3 (radius: 25)
[02:01:56 -196972.308298] FAST spr round 4 (radius: 25)
[02:02:24 -196960.706358] FAST spr round 5 (radius: 25)
[02:02:49 -196960.248809] FAST spr round 6 (radius: 25)
[02:03:14 -196960.246638] Model parameter optimization (eps = 1.000000)
[02:03:22 -196955.670612] SLOW spr round 1 (radius: 5)
[02:04:03 -196916.114004] SLOW spr round 2 (radius: 5)
[02:04:40 -196915.461982] SLOW spr round 3 (radius: 5)
[02:05:18 -196915.461315] SLOW spr round 4 (radius: 10)
[02:06:01 -196915.461202] SLOW spr round 5 (radius: 15)
[02:07:31 -196902.382314] SLOW spr round 6 (radius: 5)
[02:08:27 -196878.354512] SLOW spr round 7 (radius: 5)
[02:09:14 -196872.546576] SLOW spr round 8 (radius: 5)
[02:09:56 -196872.545027] SLOW spr round 9 (radius: 10)
[02:10:41 -196872.544155] SLOW spr round 10 (radius: 15)
[02:12:07 -196872.543545] SLOW spr round 11 (radius: 20)
[02:14:04 -196872.543074] SLOW spr round 12 (radius: 25)
[02:16:08 -196872.542691] Model parameter optimization (eps = 0.100000)

[02:16:12] ML tree search #6, logLikelihood: -196872.326762

[02:16:12 -547606.716875] Initial branch length optimization
[02:16:14 -446616.385090] Model parameter optimization (eps = 10.000000)
[02:16:39 -444840.544569] AUTODETECT spr round 1 (radius: 5)
[02:17:07 -326209.173928] AUTODETECT spr round 2 (radius: 10)
[02:17:40 -259707.100532] AUTODETECT spr round 3 (radius: 15)
[02:18:23 -213537.497149] AUTODETECT spr round 4 (radius: 20)
[02:19:15 -211184.051816] AUTODETECT spr round 5 (radius: 25)
[02:20:21 -208748.586042] SPR radius for FAST iterations: 25 (autodetect)
[02:20:21 -208748.586042] Model parameter optimization (eps = 3.000000)
[02:20:34 -208151.179473] FAST spr round 1 (radius: 25)
[02:21:23 -197225.158071] FAST spr round 2 (radius: 25)
[02:22:01 -197023.520201] FAST spr round 3 (radius: 25)
[02:22:35 -196932.385543] FAST spr round 4 (radius: 25)
[02:23:01 -196931.162638] FAST spr round 5 (radius: 25)
[02:23:26 -196931.159127] Model parameter optimization (eps = 1.000000)
[02:23:35 -196925.390902] SLOW spr round 1 (radius: 5)
[02:24:16 -196896.152004] SLOW spr round 2 (radius: 5)
[02:24:55 -196895.507098] SLOW spr round 3 (radius: 5)
[02:25:33 -196895.482211] SLOW spr round 4 (radius: 10)
[02:26:17 -196895.479758] SLOW spr round 5 (radius: 15)
[02:27:47 -196895.479644] SLOW spr round 6 (radius: 20)
[02:29:43 -196895.479640] SLOW spr round 7 (radius: 25)
[02:31:51 -196895.479638] Model parameter optimization (eps = 0.100000)

[02:31:55] ML tree search #7, logLikelihood: -196895.337281

[02:31:55 -541791.844598] Initial branch length optimization
[02:31:57 -443835.195462] Model parameter optimization (eps = 10.000000)
[02:32:22 -442070.740729] AUTODETECT spr round 1 (radius: 5)
[02:32:50 -337382.058883] AUTODETECT spr round 2 (radius: 10)
[02:33:23 -275906.755694] AUTODETECT spr round 3 (radius: 15)
[02:34:06 -231342.791924] AUTODETECT spr round 4 (radius: 20)
[02:34:47 -218902.107891] AUTODETECT spr round 5 (radius: 25)
[02:35:37 -216889.039202] SPR radius for FAST iterations: 25 (autodetect)
[02:35:37 -216889.039202] Model parameter optimization (eps = 3.000000)
[02:35:53 -216330.695999] FAST spr round 1 (radius: 25)
[02:36:44 -199061.707921] FAST spr round 2 (radius: 25)
[02:37:21 -197083.051932] FAST spr round 3 (radius: 25)
[02:37:55 -196951.653201] FAST spr round 4 (radius: 25)
[02:38:25 -196935.377775] FAST spr round 5 (radius: 25)
[02:38:50 -196935.375928] Model parameter optimization (eps = 1.000000)
[02:38:58 -196932.680451] SLOW spr round 1 (radius: 5)
[02:39:38 -196902.259233] SLOW spr round 2 (radius: 5)
[02:40:18 -196900.988689] SLOW spr round 3 (radius: 5)
[02:40:57 -196900.986807] SLOW spr round 4 (radius: 10)
[02:41:42 -196891.814263] SLOW spr round 5 (radius: 5)
[02:42:34 -196891.481791] SLOW spr round 6 (radius: 5)
[02:43:19 -196891.481349] SLOW spr round 7 (radius: 10)
[02:44:06 -196889.028717] SLOW spr round 8 (radius: 5)
[02:44:57 -196889.026184] SLOW spr round 9 (radius: 10)
[02:45:50 -196889.025310] SLOW spr round 10 (radius: 15)
[02:47:11 -196879.574652] SLOW spr round 11 (radius: 5)
[02:48:07 -196877.590480] SLOW spr round 12 (radius: 5)
[02:48:54 -196877.568518] SLOW spr round 13 (radius: 10)
[02:49:42 -196877.564902] SLOW spr round 14 (radius: 15)
[02:51:06 -196877.564072] SLOW spr round 15 (radius: 20)
[02:53:02 -196877.563872] SLOW spr round 16 (radius: 25)
[02:55:09 -196877.563811] Model parameter optimization (eps = 0.100000)

[02:55:14] ML tree search #8, logLikelihood: -196877.403998

[02:55:14 -550601.973932] Initial branch length optimization
[02:55:16 -447525.878843] Model parameter optimization (eps = 10.000000)
[02:55:42 -445794.157819] AUTODETECT spr round 1 (radius: 5)
[02:56:10 -331566.001352] AUTODETECT spr round 2 (radius: 10)
[02:56:43 -250199.912425] AUTODETECT spr round 3 (radius: 15)
[02:57:22 -219542.695726] AUTODETECT spr round 4 (radius: 20)
[02:58:15 -217943.299322] AUTODETECT spr round 5 (radius: 25)
[02:59:15 -215425.589252] SPR radius for FAST iterations: 25 (autodetect)
[02:59:15 -215425.589252] Model parameter optimization (eps = 3.000000)
[02:59:30 -214786.190571] FAST spr round 1 (radius: 25)
[03:00:25 -197300.615997] FAST spr round 2 (radius: 25)
[03:01:06 -196963.431797] FAST spr round 3 (radius: 25)
[03:01:42 -196936.371547] FAST spr round 4 (radius: 25)
[03:02:14 -196915.124619] FAST spr round 5 (radius: 25)
[03:02:42 -196915.097987] Model parameter optimization (eps = 1.000000)
[03:02:50 -196911.930900] SLOW spr round 1 (radius: 5)
[03:03:34 -196885.730776] SLOW spr round 2 (radius: 5)
[03:04:16 -196883.877477] SLOW spr round 3 (radius: 5)
[03:04:59 -196883.839518] SLOW spr round 4 (radius: 10)
[03:05:49 -196876.713654] SLOW spr round 5 (radius: 5)
[03:06:47 -196876.141357] SLOW spr round 6 (radius: 5)
[03:07:36 -196873.547359] SLOW spr round 7 (radius: 5)
[03:08:22 -196873.546273] SLOW spr round 8 (radius: 10)
[03:09:12 -196873.546102] SLOW spr round 9 (radius: 15)
[03:10:46 -196873.546047] SLOW spr round 10 (radius: 20)
[03:12:52 -196873.546026] SLOW spr round 11 (radius: 25)
[03:15:12 -196873.546017] Model parameter optimization (eps = 0.100000)

[03:15:19] ML tree search #9, logLikelihood: -196873.269495

[03:15:19 -544137.620300] Initial branch length optimization
[03:15:21 -443133.239255] Model parameter optimization (eps = 10.000000)
[03:15:46 -441420.038454] AUTODETECT spr round 1 (radius: 5)
[03:16:15 -322326.391024] AUTODETECT spr round 2 (radius: 10)
[03:16:53 -241828.718796] AUTODETECT spr round 3 (radius: 15)
[03:17:37 -218490.695818] AUTODETECT spr round 4 (radius: 20)
[03:18:36 -215579.324295] AUTODETECT spr round 5 (radius: 25)
[03:19:50 -215222.704621] SPR radius for FAST iterations: 25 (autodetect)
[03:19:50 -215222.704621] Model parameter optimization (eps = 3.000000)
[03:20:06 -214677.677510] FAST spr round 1 (radius: 25)
[03:21:06 -197546.898025] FAST spr round 2 (radius: 25)
[03:21:52 -197017.153409] FAST spr round 3 (radius: 25)
[03:22:26 -196985.582155] FAST spr round 4 (radius: 25)
[03:22:56 -196984.906718] FAST spr round 5 (radius: 25)
[03:23:23 -196984.761758] FAST spr round 6 (radius: 25)
[03:23:50 -196984.759528] Model parameter optimization (eps = 1.000000)
[03:23:58 -196982.670164] SLOW spr round 1 (radius: 5)
[03:24:44 -196934.326066] SLOW spr round 2 (radius: 5)
[03:25:26 -196928.369738] SLOW spr round 3 (radius: 5)
[03:26:09 -196927.354575] SLOW spr round 4 (radius: 5)
[03:26:51 -196927.352623] SLOW spr round 5 (radius: 10)
[03:27:40 -196926.563771] SLOW spr round 6 (radius: 5)
[03:28:37 -196926.559641] SLOW spr round 7 (radius: 10)
[03:29:36 -196926.558358] SLOW spr round 8 (radius: 15)
[03:31:12 -196897.900430] SLOW spr round 9 (radius: 5)
[03:32:09 -196885.834351] SLOW spr round 10 (radius: 5)
[03:32:58 -196884.836166] SLOW spr round 11 (radius: 5)
[03:33:40 -196881.633848] SLOW spr round 12 (radius: 5)
[03:34:20 -196881.633580] SLOW spr round 13 (radius: 10)
[03:35:05 -196877.621317] SLOW spr round 14 (radius: 5)
[03:35:58 -196877.571018] SLOW spr round 15 (radius: 10)
[03:36:51 -196877.570407] SLOW spr round 16 (radius: 15)
[03:38:13 -196877.570251] SLOW spr round 17 (radius: 20)
[03:40:09 -196877.570209] SLOW spr round 18 (radius: 25)
[03:42:16 -196877.570198] Model parameter optimization (eps = 0.100000)

[03:42:21] ML tree search #10, logLikelihood: -196877.291398

[03:42:21 -546759.992057] Initial branch length optimization
[03:42:23 -445759.667451] Model parameter optimization (eps = 10.000000)
[03:42:48 -444004.392479] AUTODETECT spr round 1 (radius: 5)
[03:43:16 -319120.496567] AUTODETECT spr round 2 (radius: 10)
[03:43:49 -264337.900708] AUTODETECT spr round 3 (radius: 15)
[03:44:30 -235261.855994] AUTODETECT spr round 4 (radius: 20)
[03:45:21 -216556.374332] AUTODETECT spr round 5 (radius: 25)
[03:46:23 -214656.067541] SPR radius for FAST iterations: 25 (autodetect)
[03:46:23 -214656.067541] Model parameter optimization (eps = 3.000000)
[03:46:38 -214046.689722] FAST spr round 1 (radius: 25)
[03:47:35 -197520.985961] FAST spr round 2 (radius: 25)
[03:48:16 -196984.820307] FAST spr round 3 (radius: 25)
[03:48:52 -196945.752521] FAST spr round 4 (radius: 25)
[03:49:18 -196945.061487] FAST spr round 5 (radius: 25)
[03:49:43 -196944.935960] FAST spr round 6 (radius: 25)
[03:50:08 -196944.901758] Model parameter optimization (eps = 1.000000)
[03:50:15 -196941.550891] SLOW spr round 1 (radius: 5)
[03:50:55 -196881.563771] SLOW spr round 2 (radius: 5)
[03:51:35 -196877.496523] SLOW spr round 3 (radius: 5)
[03:52:14 -196877.459153] SLOW spr round 4 (radius: 10)
[03:52:59 -196877.423896] SLOW spr round 5 (radius: 15)
[03:54:26 -196877.103061] SLOW spr round 6 (radius: 5)
[03:55:22 -196875.669955] SLOW spr round 7 (radius: 5)
[03:56:10 -196875.416087] SLOW spr round 8 (radius: 5)
[03:56:53 -196875.415241] SLOW spr round 9 (radius: 10)
[03:57:39 -196875.414786] SLOW spr round 10 (radius: 15)
[03:59:06 -196873.315814] SLOW spr round 11 (radius: 5)
[04:00:01 -196869.669654] SLOW spr round 12 (radius: 5)
[04:00:48 -196869.669119] SLOW spr round 13 (radius: 10)
[04:01:37 -196865.955128] SLOW spr round 14 (radius: 5)
[04:02:28 -196865.953046] SLOW spr round 15 (radius: 10)
[04:03:22 -196865.952742] SLOW spr round 16 (radius: 15)
[04:04:45 -196865.952644] SLOW spr round 17 (radius: 20)
[04:06:42 -196865.952599] SLOW spr round 18 (radius: 25)
[04:08:48 -196865.952572] Model parameter optimization (eps = 0.100000)

[04:08:52] ML tree search #11, logLikelihood: -196865.607211

[04:08:52 -543205.358889] Initial branch length optimization
[04:08:54 -445795.382719] Model parameter optimization (eps = 10.000000)
[04:09:19 -443909.726870] AUTODETECT spr round 1 (radius: 5)
[04:09:47 -324475.712153] AUTODETECT spr round 2 (radius: 10)
[04:10:21 -247198.105755] AUTODETECT spr round 3 (radius: 15)
[04:11:04 -214604.262448] AUTODETECT spr round 4 (radius: 20)
[04:11:53 -212556.826030] AUTODETECT spr round 5 (radius: 25)
[04:12:42 -211410.717919] SPR radius for FAST iterations: 25 (autodetect)
[04:12:42 -211410.717919] Model parameter optimization (eps = 3.000000)
[04:12:56 -210889.532600] FAST spr round 1 (radius: 25)
[04:13:49 -197404.525049] FAST spr round 2 (radius: 25)
[04:14:28 -197036.194552] FAST spr round 3 (radius: 25)
[04:15:02 -196996.221635] FAST spr round 4 (radius: 25)
[04:15:29 -196994.975075] FAST spr round 5 (radius: 25)
[04:15:55 -196994.974351] Model parameter optimization (eps = 1.000000)
[04:16:03 -196984.115754] SLOW spr round 1 (radius: 5)
[04:16:45 -196935.106241] SLOW spr round 2 (radius: 5)
[04:17:25 -196931.605961] SLOW spr round 3 (radius: 5)
[04:18:04 -196928.968184] SLOW spr round 4 (radius: 5)
[04:18:43 -196928.953892] SLOW spr round 5 (radius: 10)
[04:19:29 -196927.678331] SLOW spr round 6 (radius: 5)
[04:20:21 -196924.517518] SLOW spr round 7 (radius: 5)
[04:21:07 -196924.483152] SLOW spr round 8 (radius: 10)
[04:21:56 -196924.480622] SLOW spr round 9 (radius: 15)
[04:23:23 -196924.478201] SLOW spr round 10 (radius: 20)
[04:25:20 -196913.175120] SLOW spr round 11 (radius: 5)
[04:26:16 -196910.902363] SLOW spr round 12 (radius: 5)
[04:27:04 -196910.890021] SLOW spr round 13 (radius: 10)
[04:27:54 -196907.482551] SLOW spr round 14 (radius: 5)
[04:28:46 -196907.438941] SLOW spr round 15 (radius: 10)
[04:29:40 -196907.438680] SLOW spr round 16 (radius: 15)
[04:31:04 -196882.505850] SLOW spr round 17 (radius: 5)
[04:32:00 -196869.303859] SLOW spr round 18 (radius: 5)
[04:32:47 -196868.803138] SLOW spr round 19 (radius: 5)
[04:33:29 -196868.802541] SLOW spr round 20 (radius: 10)
[04:34:16 -196868.802280] SLOW spr round 21 (radius: 15)
[04:35:43 -196868.802167] SLOW spr round 22 (radius: 20)
[04:37:40 -196868.802117] SLOW spr round 23 (radius: 25)
[04:39:46 -196868.802096] Model parameter optimization (eps = 0.100000)

[04:39:52] ML tree search #12, logLikelihood: -196867.995988

[04:39:52 -549754.482007] Initial branch length optimization
[04:39:53 -445480.203409] Model parameter optimization (eps = 10.000000)
[04:40:18 -443762.742253] AUTODETECT spr round 1 (radius: 5)
[04:40:46 -328362.781129] AUTODETECT spr round 2 (radius: 10)
[04:41:20 -245628.368274] AUTODETECT spr round 3 (radius: 15)
[04:42:00 -218920.612280] AUTODETECT spr round 4 (radius: 20)
[04:42:44 -214003.615780] AUTODETECT spr round 5 (radius: 25)
[04:43:35 -213769.029745] SPR radius for FAST iterations: 25 (autodetect)
[04:43:35 -213769.029745] Model parameter optimization (eps = 3.000000)
[04:43:49 -213204.582166] FAST spr round 1 (radius: 25)
[04:44:41 -197485.160809] FAST spr round 2 (radius: 25)
[04:45:20 -196962.063598] FAST spr round 3 (radius: 25)
[04:45:51 -196939.623452] FAST spr round 4 (radius: 25)
[04:46:18 -196938.778372] FAST spr round 5 (radius: 25)
[04:46:44 -196935.434539] FAST spr round 6 (radius: 25)
[04:47:08 -196935.373011] Model parameter optimization (eps = 1.000000)
[04:47:16 -196927.130997] SLOW spr round 1 (radius: 5)
[04:47:58 -196899.171954] SLOW spr round 2 (radius: 5)
[04:48:38 -196892.175982] SLOW spr round 3 (radius: 5)
[04:49:17 -196891.971605] SLOW spr round 4 (radius: 5)
[04:49:56 -196891.914126] SLOW spr round 5 (radius: 10)
[04:50:41 -196891.739309] SLOW spr round 6 (radius: 5)
[04:51:34 -196891.526939] SLOW spr round 7 (radius: 5)
[04:52:19 -196891.524163] SLOW spr round 8 (radius: 10)
[04:53:08 -196891.523296] SLOW spr round 9 (radius: 15)
[04:54:36 -196891.522990] SLOW spr round 10 (radius: 20)
[04:56:31 -196891.522882] SLOW spr round 11 (radius: 25)
[04:58:40 -196891.522843] Model parameter optimization (eps = 0.100000)

[04:58:46] ML tree search #13, logLikelihood: -196891.360485

[04:58:46 -546518.125143] Initial branch length optimization
[04:58:48 -445598.203758] Model parameter optimization (eps = 10.000000)
[04:59:11 -443900.633931] AUTODETECT spr round 1 (radius: 5)
[04:59:39 -322196.078278] AUTODETECT spr round 2 (radius: 10)
[05:00:14 -253227.938476] AUTODETECT spr round 3 (radius: 15)
[05:00:55 -226161.775223] AUTODETECT spr round 4 (radius: 20)
[05:01:46 -218656.884048] AUTODETECT spr round 5 (radius: 25)
[05:02:49 -218583.868019] SPR radius for FAST iterations: 25 (autodetect)
[05:02:49 -218583.868019] Model parameter optimization (eps = 3.000000)
[05:03:03 -217917.315220] FAST spr round 1 (radius: 25)
[05:03:54 -197677.776382] FAST spr round 2 (radius: 25)
[05:04:33 -196981.494481] FAST spr round 3 (radius: 25)
[05:05:08 -196939.467917] FAST spr round 4 (radius: 25)
[05:05:35 -196937.398627] FAST spr round 5 (radius: 25)
[05:06:01 -196932.665974] FAST spr round 6 (radius: 25)
[05:06:27 -196931.682884] FAST spr round 7 (radius: 25)
[05:06:51 -196931.681541] Model parameter optimization (eps = 1.000000)
[05:06:59 -196917.933268] SLOW spr round 1 (radius: 5)
[05:07:40 -196885.507843] SLOW spr round 2 (radius: 5)
[05:08:19 -196881.932981] SLOW spr round 3 (radius: 5)
[05:08:57 -196881.804777] SLOW spr round 4 (radius: 5)
[05:09:36 -196881.760913] SLOW spr round 5 (radius: 10)
[05:10:22 -196881.759212] SLOW spr round 6 (radius: 15)
[05:11:58 -196875.546909] SLOW spr round 7 (radius: 5)
[05:12:53 -196872.464801] SLOW spr round 8 (radius: 5)
[05:13:39 -196872.461985] SLOW spr round 9 (radius: 10)
[05:14:30 -196872.460703] SLOW spr round 10 (radius: 15)
[05:15:59 -196872.459914] SLOW spr round 11 (radius: 20)
[05:17:58 -196872.459336] SLOW spr round 12 (radius: 25)
[05:20:09 -196872.458878] Model parameter optimization (eps = 0.100000)

[05:20:15] ML tree search #14, logLikelihood: -196872.204282

[05:20:15 -545989.511595] Initial branch length optimization
[05:20:17 -447311.081827] Model parameter optimization (eps = 10.000000)
[05:20:39 -445494.083570] AUTODETECT spr round 1 (radius: 5)
[05:21:07 -329932.857735] AUTODETECT spr round 2 (radius: 10)
[05:21:42 -242141.133122] AUTODETECT spr round 3 (radius: 15)
[05:22:21 -215827.113532] AUTODETECT spr round 4 (radius: 20)
[05:23:15 -211823.710226] AUTODETECT spr round 5 (radius: 25)
[05:24:18 -211433.641815] SPR radius for FAST iterations: 25 (autodetect)
[05:24:18 -211433.641815] Model parameter optimization (eps = 3.000000)
[05:24:30 -210884.396491] FAST spr round 1 (radius: 25)
[05:25:24 -197314.342668] FAST spr round 2 (radius: 25)
[05:26:05 -196969.584383] FAST spr round 3 (radius: 25)
[05:26:36 -196963.057512] FAST spr round 4 (radius: 25)
[05:27:02 -196962.991809] Model parameter optimization (eps = 1.000000)
[05:27:10 -196956.589815] SLOW spr round 1 (radius: 5)
[05:27:52 -196917.215352] SLOW spr round 2 (radius: 5)
[05:28:31 -196915.156431] SLOW spr round 3 (radius: 5)
[05:29:10 -196914.848083] SLOW spr round 4 (radius: 5)
[05:29:48 -196914.847903] SLOW spr round 5 (radius: 10)
[05:30:33 -196914.175802] SLOW spr round 6 (radius: 5)
[05:31:26 -196914.122362] SLOW spr round 7 (radius: 10)
[05:32:21 -196914.121539] SLOW spr round 8 (radius: 15)
[05:33:48 -196903.276867] SLOW spr round 9 (radius: 5)
[05:34:45 -196871.784907] SLOW spr round 10 (radius: 5)
[05:35:31 -196871.776584] SLOW spr round 11 (radius: 10)
[05:36:21 -196871.775858] SLOW spr round 12 (radius: 15)
[05:37:47 -196871.606671] SLOW spr round 13 (radius: 5)
[05:38:41 -196871.588497] SLOW spr round 14 (radius: 10)
[05:39:39 -196871.587773] SLOW spr round 15 (radius: 15)
[05:41:01 -196871.587484] SLOW spr round 16 (radius: 20)
[05:43:01 -196871.587363] SLOW spr round 17 (radius: 25)
[05:45:07 -196871.587325] Model parameter optimization (eps = 0.100000)

[05:45:13] ML tree search #15, logLikelihood: -196870.350951

[05:45:13 -546220.242291] Initial branch length optimization
[05:45:15 -446374.665505] Model parameter optimization (eps = 10.000000)
[05:45:41 -444702.729874] AUTODETECT spr round 1 (radius: 5)
[05:46:09 -324366.876486] AUTODETECT spr round 2 (radius: 10)
[05:46:42 -254355.503177] AUTODETECT spr round 3 (radius: 15)
[05:47:21 -223348.746534] AUTODETECT spr round 4 (radius: 20)
[05:48:13 -213766.297968] AUTODETECT spr round 5 (radius: 25)
[05:49:19 -213381.163965] SPR radius for FAST iterations: 25 (autodetect)
[05:49:19 -213381.163965] Model parameter optimization (eps = 3.000000)
[05:49:33 -212757.316164] FAST spr round 1 (radius: 25)
[05:50:28 -197395.176072] FAST spr round 2 (radius: 25)
[05:51:08 -197026.271938] FAST spr round 3 (radius: 25)
[05:51:43 -196924.797687] FAST spr round 4 (radius: 25)
[05:52:10 -196924.160424] FAST spr round 5 (radius: 25)
[05:52:35 -196924.157070] Model parameter optimization (eps = 1.000000)
[05:52:42 -196914.141380] SLOW spr round 1 (radius: 5)
[05:53:23 -196884.218340] SLOW spr round 2 (radius: 5)
[05:54:03 -196880.912541] SLOW spr round 3 (radius: 5)
[05:54:42 -196878.259254] SLOW spr round 4 (radius: 5)
[05:55:20 -196878.234540] SLOW spr round 5 (radius: 10)
[05:56:04 -196878.232972] SLOW spr round 6 (radius: 15)
[05:57:31 -196877.125836] SLOW spr round 7 (radius: 5)
[05:58:26 -196877.124154] SLOW spr round 8 (radius: 10)
[05:59:23 -196877.122960] SLOW spr round 9 (radius: 15)
[06:00:44 -196877.121950] SLOW spr round 10 (radius: 20)
[06:02:39 -196877.121079] SLOW spr round 11 (radius: 25)
[06:04:44 -196877.120321] Model parameter optimization (eps = 0.100000)

[06:04:47] ML tree search #16, logLikelihood: -196877.070083

[06:04:47 -544660.757484] Initial branch length optimization
[06:04:48 -445849.786242] Model parameter optimization (eps = 10.000000)
[06:05:17 -444050.433880] AUTODETECT spr round 1 (radius: 5)
[06:05:45 -324138.920277] AUTODETECT spr round 2 (radius: 10)
[06:06:19 -243743.738636] AUTODETECT spr round 3 (radius: 15)
[06:06:58 -225218.595517] AUTODETECT spr round 4 (radius: 20)
[06:07:41 -215852.965257] AUTODETECT spr round 5 (radius: 25)
[06:08:35 -215110.457989] SPR radius for FAST iterations: 25 (autodetect)
[06:08:35 -215110.457989] Model parameter optimization (eps = 3.000000)
[06:08:54 -214578.347016] FAST spr round 1 (radius: 25)
[06:09:47 -197647.232046] FAST spr round 2 (radius: 25)
[06:10:29 -196989.029627] FAST spr round 3 (radius: 25)
[06:11:04 -196911.269468] FAST spr round 4 (radius: 25)
[06:11:31 -196911.210306] Model parameter optimization (eps = 1.000000)
[06:11:37 -196909.138348] SLOW spr round 1 (radius: 5)
[06:12:19 -196874.654021] SLOW spr round 2 (radius: 5)
[06:12:58 -196873.456755] SLOW spr round 3 (radius: 5)
[06:13:37 -196873.409650] SLOW spr round 4 (radius: 10)
[06:14:21 -196873.407514] SLOW spr round 5 (radius: 15)
[06:15:50 -196873.405620] SLOW spr round 6 (radius: 20)
[06:17:46 -196873.403944] SLOW spr round 7 (radius: 25)
[06:19:53 -196873.402459] Model parameter optimization (eps = 0.100000)

[06:19:55] ML tree search #17, logLikelihood: -196873.340979

[06:19:55 -540679.170110] Initial branch length optimization
[06:19:57 -441490.930011] Model parameter optimization (eps = 10.000000)
[06:20:25 -439733.679939] AUTODETECT spr round 1 (radius: 5)
[06:20:54 -333527.220630] AUTODETECT spr round 2 (radius: 10)
[06:21:29 -252563.086894] AUTODETECT spr round 3 (radius: 15)
[06:22:07 -222106.630683] AUTODETECT spr round 4 (radius: 20)
[06:22:53 -215869.847471] AUTODETECT spr round 5 (radius: 25)
[06:23:46 -214765.373737] SPR radius for FAST iterations: 25 (autodetect)
[06:23:46 -214765.373737] Model parameter optimization (eps = 3.000000)
[06:24:01 -214258.647853] FAST spr round 1 (radius: 25)
[06:24:54 -197610.868305] FAST spr round 2 (radius: 25)
[06:25:36 -197023.273101] FAST spr round 3 (radius: 25)
[06:26:11 -196922.475333] FAST spr round 4 (radius: 25)
[06:26:39 -196908.373242] FAST spr round 5 (radius: 25)
[06:27:04 -196908.309702] Model parameter optimization (eps = 1.000000)
[06:27:12 -196901.128073] SLOW spr round 1 (radius: 5)
[06:27:55 -196871.118075] SLOW spr round 2 (radius: 5)
[06:28:33 -196870.405757] SLOW spr round 3 (radius: 5)
[06:29:12 -196870.366172] SLOW spr round 4 (radius: 10)
[06:29:57 -196870.362089] SLOW spr round 5 (radius: 15)
[06:31:29 -196870.361067] SLOW spr round 6 (radius: 20)
[06:33:28 -196870.360803] SLOW spr round 7 (radius: 25)
[06:35:40 -196870.360734] Model parameter optimization (eps = 0.100000)

[06:35:44] ML tree search #18, logLikelihood: -196869.825581

[06:35:44 -543900.515733] Initial branch length optimization
[06:35:46 -441977.406055] Model parameter optimization (eps = 10.000000)
[06:36:14 -440107.746037] AUTODETECT spr round 1 (radius: 5)
[06:36:43 -337810.609602] AUTODETECT spr round 2 (radius: 10)
[06:37:16 -268445.461874] AUTODETECT spr round 3 (radius: 15)
[06:37:58 -244023.275352] AUTODETECT spr round 4 (radius: 20)
[06:38:52 -221039.714077] AUTODETECT spr round 5 (radius: 25)
[06:39:48 -219012.398376] SPR radius for FAST iterations: 25 (autodetect)
[06:39:48 -219012.398376] Model parameter optimization (eps = 3.000000)
[06:40:00 -218511.252759] FAST spr round 1 (radius: 25)
[06:40:54 -197761.503885] FAST spr round 2 (radius: 25)
[06:41:33 -197000.765294] FAST spr round 3 (radius: 25)
[06:42:06 -196936.490884] FAST spr round 4 (radius: 25)
[06:42:33 -196930.779303] FAST spr round 5 (radius: 25)
[06:42:59 -196927.321690] FAST spr round 6 (radius: 25)
[06:43:23 -196927.318108] Model parameter optimization (eps = 1.000000)
[06:43:31 -196916.430579] SLOW spr round 1 (radius: 5)
[06:44:11 -196873.844258] SLOW spr round 2 (radius: 5)
[06:44:50 -196868.862012] SLOW spr round 3 (radius: 5)
[06:45:29 -196867.722803] SLOW spr round 4 (radius: 5)
[06:46:07 -196867.694557] SLOW spr round 5 (radius: 10)
[06:46:51 -196867.502698] SLOW spr round 6 (radius: 5)
[06:47:43 -196867.283390] SLOW spr round 7 (radius: 5)
[06:48:28 -196867.282890] SLOW spr round 8 (radius: 10)
[06:49:17 -196867.282460] SLOW spr round 9 (radius: 15)
[06:50:43 -196867.282084] SLOW spr round 10 (radius: 20)
[06:52:42 -196867.281754] SLOW spr round 11 (radius: 25)
[06:54:48 -196867.281465] Model parameter optimization (eps = 0.100000)

[06:54:53] ML tree search #19, logLikelihood: -196866.923698

[06:54:53 -548476.698525] Initial branch length optimization
[06:54:55 -444110.641022] Model parameter optimization (eps = 10.000000)
[06:55:17 -442414.408296] AUTODETECT spr round 1 (radius: 5)
[06:55:45 -323209.915111] AUTODETECT spr round 2 (radius: 10)
[06:56:19 -254036.062179] AUTODETECT spr round 3 (radius: 15)
[06:57:00 -220284.459338] AUTODETECT spr round 4 (radius: 20)
[06:57:55 -216487.394134] AUTODETECT spr round 5 (radius: 25)
[06:59:00 -216175.276585] SPR radius for FAST iterations: 25 (autodetect)
[06:59:00 -216175.276585] Model parameter optimization (eps = 3.000000)
[06:59:17 -215621.868963] FAST spr round 1 (radius: 25)
[07:00:08 -197741.714908] FAST spr round 2 (radius: 25)
[07:00:49 -196978.108916] FAST spr round 3 (radius: 25)
[07:01:20 -196949.907302] FAST spr round 4 (radius: 25)
[07:01:49 -196942.815790] FAST spr round 5 (radius: 25)
[07:02:15 -196940.565012] FAST spr round 6 (radius: 25)
[07:02:41 -196939.844557] FAST spr round 7 (radius: 25)
[07:03:05 -196939.841746] Model parameter optimization (eps = 1.000000)
[07:03:13 -196930.312654] SLOW spr round 1 (radius: 5)
[07:03:54 -196896.412872] SLOW spr round 2 (radius: 5)
[07:04:35 -196891.311117] SLOW spr round 3 (radius: 5)
[07:05:14 -196890.859153] SLOW spr round 4 (radius: 5)
[07:05:54 -196890.810427] SLOW spr round 5 (radius: 10)
[07:06:40 -196890.808700] SLOW spr round 6 (radius: 15)
[07:08:05 -196890.807171] SLOW spr round 7 (radius: 20)
[07:09:57 -196883.713327] SLOW spr round 8 (radius: 5)
[07:10:53 -196883.571112] SLOW spr round 9 (radius: 5)
[07:11:41 -196883.570222] SLOW spr round 10 (radius: 10)
[07:12:30 -196883.569493] SLOW spr round 11 (radius: 15)
[07:13:52 -196883.568858] SLOW spr round 12 (radius: 20)
[07:15:44 -196883.568301] SLOW spr round 13 (radius: 25)
[07:17:52 -196883.567812] Model parameter optimization (eps = 0.100000)

[07:17:54] ML tree search #20, logLikelihood: -196883.536960


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.166051,0.451379) (0.089611,1.002052) (0.402466,0.609648) (0.341872,1.725472) 
   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: -196865.607211

AIC score: 395533.214423 / AICc score: 401118.795179 / BIC score: 400114.102429
Free parameters (model + branch lengths): 901

Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q2V2M9/3_mltree/Q2V2M9.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q2V2M9/3_mltree/Q2V2M9.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q2V2M9/3_mltree/Q2V2M9.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q2V2M9/3_mltree/Q2V2M9.raxml.log

Analysis started: 03-Jul-2021 12:37:51 / finished: 03-Jul-2021 19:55:46

Elapsed time: 26274.997 seconds

Consumed energy: 2263.270 Wh (= 11 km in an electric car, or 57 km with an e-scooter!)