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 6140 CPU @ 2.30GHz, 36 cores, 251 GB RAM

RAxML-NG was called at 08-Jul-2021 09:07:09 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/A8MX34/2_msa/A8MX34_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/A8MX34/3_mltree/A8MX34 --seed 2 --threads 1 --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), NONE/sequential

[00:00:00] Reading alignment from file: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/A8MX34/2_msa/A8MX34_trimmed_msa.fasta
[00:00:00] Loaded alignment with 282 taxa and 71 sites

WARNING: Sequences tr_A0A2I3TDL2_A0A2I3TDL2_PANTR_9598 and tr_A0A2R8ZLW8_A0A2R8ZLW8_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2QL50_H2QL50_PANTR_9598 and tr_A0A2R9AR64_A0A2R9AR64_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2RGZ0_H2RGZ0_PANTR_9598 and tr_A0A2R8ZL57_A0A2R8ZL57_PANPA_9597 are exactly identical!
WARNING: Sequences tr_F6Y8W5_F6Y8W5_MACMU_9544 and tr_A0A2K6DXU4_A0A2K6DXU4_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A2I3M261_A0A2I3M261_PAPAN_9555 and tr_A0A2K5KS63_A0A2K5KS63_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A2K5NEQ2_A0A2K5NEQ2_CERAT_9531 and tr_A0A2K5XQ01_A0A2K5XQ01_MANLE_9568 are exactly identical!
WARNING: Duplicate sequences found: 6

NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) 
NOTE: was saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/A8MX34/3_mltree/A8MX34.raxml.reduced.phy

Alignment comprises 1 partitions and 71 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 71 / 71
Gaps: 10.04 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/A8MX34/3_mltree/A8MX34.raxml.rba

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

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

[00:00:00] Generating 20 random starting tree(s) with 282 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 71 / 5680
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -28414.098038] Initial branch length optimization
[00:00:00 -24825.191534] Model parameter optimization (eps = 10.000000)
[00:00:07 -24667.747658] AUTODETECT spr round 1 (radius: 5)
[00:00:15 -15576.373505] AUTODETECT spr round 2 (radius: 10)
[00:00:26 -12522.388139] AUTODETECT spr round 3 (radius: 15)
[00:00:38 -11372.727238] AUTODETECT spr round 4 (radius: 20)
[00:00:53 -11312.616440] AUTODETECT spr round 5 (radius: 25)
[00:01:05 -11308.879157] SPR radius for FAST iterations: 25 (autodetect)
[00:01:05 -11308.879157] Model parameter optimization (eps = 3.000000)
[00:01:12 -11181.148308] FAST spr round 1 (radius: 25)
[00:01:22 -10209.996054] FAST spr round 2 (radius: 25)
[00:01:31 -10133.506673] FAST spr round 3 (radius: 25)
[00:01:39 -10126.588277] FAST spr round 4 (radius: 25)
[00:01:46 -10124.385164] FAST spr round 5 (radius: 25)
[00:01:53 -10124.384813] Model parameter optimization (eps = 1.000000)
[00:01:57 -10116.137384] SLOW spr round 1 (radius: 5)
[00:02:10 -10113.321425] SLOW spr round 2 (radius: 5)
[00:02:21 -10113.320545] SLOW spr round 3 (radius: 10)
[00:02:33 -10112.895950] SLOW spr round 4 (radius: 5)
[00:02:50 -10112.629484] SLOW spr round 5 (radius: 5)
[00:03:03 -10112.628947] SLOW spr round 6 (radius: 10)
[00:03:15 -10112.628872] SLOW spr round 7 (radius: 15)
[00:03:33 -10111.116317] SLOW spr round 8 (radius: 5)
[00:03:50 -10111.116236] SLOW spr round 9 (radius: 10)
[00:04:04 -10111.116180] SLOW spr round 10 (radius: 15)
[00:04:22 -10110.320462] SLOW spr round 11 (radius: 5)
[00:04:39 -10110.203144] SLOW spr round 12 (radius: 5)
[00:04:54 -10110.202902] SLOW spr round 13 (radius: 10)
[00:05:06 -10108.768970] SLOW spr round 14 (radius: 5)
[00:05:22 -10107.345426] SLOW spr round 15 (radius: 5)
[00:05:35 -10107.344910] SLOW spr round 16 (radius: 10)
[00:05:47 -10107.050005] SLOW spr round 17 (radius: 5)
[00:06:04 -10105.150384] SLOW spr round 18 (radius: 5)
[00:06:17 -10105.150252] SLOW spr round 19 (radius: 10)
[00:06:29 -10105.150191] SLOW spr round 20 (radius: 15)
[00:06:46 -10105.150133] SLOW spr round 21 (radius: 20)
[00:07:06 -10105.150075] SLOW spr round 22 (radius: 25)
[00:07:28 -10105.150017] Model parameter optimization (eps = 0.100000)

[00:07:31] ML tree search #1, logLikelihood: -10104.185400

[00:07:31 -28899.187375] Initial branch length optimization
[00:07:32 -25334.676808] Model parameter optimization (eps = 10.000000)
[00:07:38 -25181.528468] AUTODETECT spr round 1 (radius: 5)
[00:07:46 -15807.563031] AUTODETECT spr round 2 (radius: 10)
[00:07:57 -11973.585628] AUTODETECT spr round 3 (radius: 15)
[00:08:10 -11212.606315] AUTODETECT spr round 4 (radius: 20)
[00:08:26 -11201.374687] AUTODETECT spr round 5 (radius: 25)
[00:08:43 -11201.360556] SPR radius for FAST iterations: 20 (autodetect)
[00:08:43 -11201.360556] Model parameter optimization (eps = 3.000000)
[00:08:48 -11055.205738] FAST spr round 1 (radius: 20)
[00:08:59 -10189.889130] FAST spr round 2 (radius: 20)
[00:09:08 -10132.528760] FAST spr round 3 (radius: 20)
[00:09:15 -10123.618113] FAST spr round 4 (radius: 20)
[00:09:23 -10118.250285] FAST spr round 5 (radius: 20)
[00:09:30 -10118.250231] Model parameter optimization (eps = 1.000000)
[00:09:33 -10116.651777] SLOW spr round 1 (radius: 5)
[00:09:46 -10112.983961] SLOW spr round 2 (radius: 5)
[00:09:58 -10111.053858] SLOW spr round 3 (radius: 5)
[00:10:11 -10108.670143] SLOW spr round 4 (radius: 5)
[00:10:22 -10108.669962] SLOW spr round 5 (radius: 10)
[00:10:34 -10107.671464] SLOW spr round 6 (radius: 5)
[00:10:50 -10107.609586] SLOW spr round 7 (radius: 10)
[00:11:03 -10107.609583] SLOW spr round 8 (radius: 15)
[00:11:21 -10107.609583] SLOW spr round 9 (radius: 20)
[00:11:40 -10107.609583] SLOW spr round 10 (radius: 25)
[00:12:02 -10107.609583] Model parameter optimization (eps = 0.100000)

[00:12:05] ML tree search #2, logLikelihood: -10106.951754

[00:12:05 -28673.636113] Initial branch length optimization
[00:12:06 -24980.964223] Model parameter optimization (eps = 10.000000)
[00:12:12 -24869.447480] AUTODETECT spr round 1 (radius: 5)
[00:12:20 -16175.341412] AUTODETECT spr round 2 (radius: 10)
[00:12:31 -11678.911258] AUTODETECT spr round 3 (radius: 15)
[00:12:44 -11037.501629] AUTODETECT spr round 4 (radius: 20)
[00:13:03 -11015.025062] AUTODETECT spr round 5 (radius: 25)
[00:13:21 -11015.023773] SPR radius for FAST iterations: 20 (autodetect)
[00:13:21 -11015.023773] Model parameter optimization (eps = 3.000000)
[00:13:26 -10888.314649] FAST spr round 1 (radius: 20)
[00:13:36 -10213.650330] FAST spr round 2 (radius: 20)
[00:13:45 -10144.203086] FAST spr round 3 (radius: 20)
[00:13:54 -10126.464232] FAST spr round 4 (radius: 20)
[00:14:01 -10124.352282] FAST spr round 5 (radius: 20)
[00:14:09 -10121.770454] FAST spr round 6 (radius: 20)
[00:14:16 -10120.866431] FAST spr round 7 (radius: 20)
[00:14:23 -10120.866109] Model parameter optimization (eps = 1.000000)
[00:14:26 -10118.301319] SLOW spr round 1 (radius: 5)
[00:14:39 -10116.529936] SLOW spr round 2 (radius: 5)
[00:14:51 -10113.338032] SLOW spr round 3 (radius: 5)
[00:15:02 -10111.918342] SLOW spr round 4 (radius: 5)
[00:15:14 -10105.508144] SLOW spr round 5 (radius: 5)
[00:15:26 -10103.848558] SLOW spr round 6 (radius: 5)
[00:15:37 -10103.847741] SLOW spr round 7 (radius: 10)
[00:15:49 -10103.847734] SLOW spr round 8 (radius: 15)
[00:16:08 -10103.847734] SLOW spr round 9 (radius: 20)
[00:16:27 -10103.847734] SLOW spr round 10 (radius: 25)
[00:16:48 -10103.847734] Model parameter optimization (eps = 0.100000)

[00:16:50] ML tree search #3, logLikelihood: -10103.629006

[00:16:50 -28515.903931] Initial branch length optimization
[00:16:51 -24822.713809] Model parameter optimization (eps = 10.000000)
[00:16:58 -24678.064770] AUTODETECT spr round 1 (radius: 5)
[00:17:06 -16423.382871] AUTODETECT spr round 2 (radius: 10)
[00:17:16 -12695.699580] AUTODETECT spr round 3 (radius: 15)
[00:17:29 -12555.247431] AUTODETECT spr round 4 (radius: 20)
[00:17:44 -11376.308127] AUTODETECT spr round 5 (radius: 25)
[00:18:02 -11376.305339] SPR radius for FAST iterations: 20 (autodetect)
[00:18:02 -11376.305339] Model parameter optimization (eps = 3.000000)
[00:18:08 -11230.672235] FAST spr round 1 (radius: 20)
[00:18:18 -10182.846824] FAST spr round 2 (radius: 20)
[00:18:27 -10135.839114] FAST spr round 3 (radius: 20)
[00:18:35 -10126.873555] FAST spr round 4 (radius: 20)
[00:18:43 -10125.988601] FAST spr round 5 (radius: 20)
[00:18:50 -10125.988415] Model parameter optimization (eps = 1.000000)
[00:18:53 -10120.698632] SLOW spr round 1 (radius: 5)
[00:19:07 -10116.341936] SLOW spr round 2 (radius: 5)
[00:19:19 -10111.585146] SLOW spr round 3 (radius: 5)
[00:19:30 -10111.570431] SLOW spr round 4 (radius: 10)
[00:19:42 -10111.570002] SLOW spr round 5 (radius: 15)
[00:20:00 -10110.646188] SLOW spr round 6 (radius: 5)
[00:20:17 -10109.152407] SLOW spr round 7 (radius: 5)
[00:20:31 -10109.152270] SLOW spr round 8 (radius: 10)
[00:20:43 -10109.152211] SLOW spr round 9 (radius: 15)
[00:21:00 -10109.152155] SLOW spr round 10 (radius: 20)
[00:21:20 -10109.152099] SLOW spr round 11 (radius: 25)
[00:21:40 -10109.152044] Model parameter optimization (eps = 0.100000)

[00:21:44] ML tree search #4, logLikelihood: -10107.150147

[00:21:44 -28920.790021] Initial branch length optimization
[00:21:45 -25131.312457] Model parameter optimization (eps = 10.000000)
[00:21:53 -24883.730583] AUTODETECT spr round 1 (radius: 5)
[00:22:01 -15844.218551] AUTODETECT spr round 2 (radius: 10)
[00:22:15 -12024.271099] AUTODETECT spr round 3 (radius: 15)
[00:22:29 -11425.396398] AUTODETECT spr round 4 (radius: 20)
[00:22:47 -11368.671437] AUTODETECT spr round 5 (radius: 25)
[00:23:03 -11368.663029] SPR radius for FAST iterations: 20 (autodetect)
[00:23:03 -11368.663029] Model parameter optimization (eps = 3.000000)
[00:23:08 -11285.554476] FAST spr round 1 (radius: 20)
[00:23:18 -10255.076367] FAST spr round 2 (radius: 20)
[00:23:27 -10206.007712] FAST spr round 3 (radius: 20)
[00:23:35 -10201.811529] FAST spr round 4 (radius: 20)
[00:23:42 -10201.064576] FAST spr round 5 (radius: 20)
[00:23:49 -10201.064403] Model parameter optimization (eps = 1.000000)
[00:23:51 -10200.454658] SLOW spr round 1 (radius: 5)
[00:24:04 -10195.541015] SLOW spr round 2 (radius: 5)
[00:24:17 -10194.049306] SLOW spr round 3 (radius: 5)
[00:24:28 -10194.049268] SLOW spr round 4 (radius: 10)
[00:24:40 -10192.500972] SLOW spr round 5 (radius: 5)
[00:24:57 -10187.328052] SLOW spr round 6 (radius: 5)
[00:25:11 -10187.162433] SLOW spr round 7 (radius: 5)
[00:25:23 -10187.161565] SLOW spr round 8 (radius: 10)
[00:25:35 -10186.631619] SLOW spr round 9 (radius: 5)
[00:25:52 -10186.441872] SLOW spr round 10 (radius: 5)
[00:26:05 -10186.441797] SLOW spr round 11 (radius: 10)
[00:26:18 -10186.441797] SLOW spr round 12 (radius: 15)
[00:26:36 -10180.038980] SLOW spr round 13 (radius: 5)
[00:26:54 -10177.654110] SLOW spr round 14 (radius: 5)
[00:27:08 -10177.654110] SLOW spr round 15 (radius: 10)
[00:27:21 -10177.654110] SLOW spr round 16 (radius: 15)
[00:27:39 -10177.654110] SLOW spr round 17 (radius: 20)
[00:28:00 -10177.099360] SLOW spr round 18 (radius: 5)
[00:28:18 -10177.099352] SLOW spr round 19 (radius: 10)
[00:28:33 -10177.099352] SLOW spr round 20 (radius: 15)
[00:28:51 -10177.099352] SLOW spr round 21 (radius: 20)
[00:29:13 -10177.099352] SLOW spr round 22 (radius: 25)
[00:29:34 -10177.099352] Model parameter optimization (eps = 0.100000)

[00:29:35] ML tree search #5, logLikelihood: -10177.099135

[00:29:35 -28723.044406] Initial branch length optimization
[00:29:35 -25070.888490] Model parameter optimization (eps = 10.000000)
[00:29:41 -24927.190816] AUTODETECT spr round 1 (radius: 5)
[00:29:49 -15947.260492] AUTODETECT spr round 2 (radius: 10)
[00:29:59 -12311.048855] AUTODETECT spr round 3 (radius: 15)
[00:30:12 -11142.232149] AUTODETECT spr round 4 (radius: 20)
[00:30:26 -11121.972887] AUTODETECT spr round 5 (radius: 25)
[00:30:41 -11111.693854] SPR radius for FAST iterations: 25 (autodetect)
[00:30:41 -11111.693854] Model parameter optimization (eps = 3.000000)
[00:30:47 -10959.699742] FAST spr round 1 (radius: 25)
[00:30:57 -10207.079672] FAST spr round 2 (radius: 25)
[00:31:07 -10140.105169] FAST spr round 3 (radius: 25)
[00:31:14 -10134.798402] FAST spr round 4 (radius: 25)
[00:31:22 -10128.212514] FAST spr round 5 (radius: 25)
[00:31:30 -10124.622601] FAST spr round 6 (radius: 25)
[00:31:37 -10124.622196] Model parameter optimization (eps = 1.000000)
[00:31:42 -10118.818105] SLOW spr round 1 (radius: 5)
[00:31:54 -10114.571440] SLOW spr round 2 (radius: 5)
[00:32:06 -10114.198497] SLOW spr round 3 (radius: 5)
[00:32:18 -10114.198193] SLOW spr round 4 (radius: 10)
[00:32:30 -10109.996574] SLOW spr round 5 (radius: 5)
[00:32:46 -10108.399209] SLOW spr round 6 (radius: 5)
[00:33:00 -10108.399171] SLOW spr round 7 (radius: 10)
[00:33:12 -10108.399171] SLOW spr round 8 (radius: 15)
[00:33:30 -10106.956152] SLOW spr round 9 (radius: 5)
[00:33:48 -10105.477662] SLOW spr round 10 (radius: 5)
[00:34:02 -10105.477658] SLOW spr round 11 (radius: 10)
[00:34:14 -10105.477658] SLOW spr round 12 (radius: 15)
[00:34:32 -10105.477658] SLOW spr round 13 (radius: 20)
[00:34:52 -10105.477658] SLOW spr round 14 (radius: 25)
[00:35:14 -10105.477658] Model parameter optimization (eps = 0.100000)

[00:35:18] ML tree search #6, logLikelihood: -10103.212505

[00:35:18 -28030.617176] Initial branch length optimization
[00:35:18 -24405.029320] Model parameter optimization (eps = 10.000000)
[00:35:25 -24270.041169] AUTODETECT spr round 1 (radius: 5)
[00:35:33 -15963.354752] AUTODETECT spr round 2 (radius: 10)
[00:35:43 -12142.233680] AUTODETECT spr round 3 (radius: 15)
[00:35:56 -11165.936647] AUTODETECT spr round 4 (radius: 20)
[00:36:11 -11127.252530] AUTODETECT spr round 5 (radius: 25)
[00:36:27 -11122.061881] SPR radius for FAST iterations: 25 (autodetect)
[00:36:27 -11122.061881] Model parameter optimization (eps = 3.000000)
[00:36:33 -10981.588536] FAST spr round 1 (radius: 25)
[00:36:43 -10226.540032] FAST spr round 2 (radius: 25)
[00:36:52 -10125.442997] FAST spr round 3 (radius: 25)
[00:37:00 -10123.583017] FAST spr round 4 (radius: 25)
[00:37:07 -10123.582472] Model parameter optimization (eps = 1.000000)
[00:37:11 -10117.324089] SLOW spr round 1 (radius: 5)
[00:37:23 -10110.982979] SLOW spr round 2 (radius: 5)
[00:37:36 -10109.704716] SLOW spr round 3 (radius: 5)
[00:37:47 -10109.704459] SLOW spr round 4 (radius: 10)
[00:37:59 -10106.619243] SLOW spr round 5 (radius: 5)
[00:38:15 -10106.619188] SLOW spr round 6 (radius: 10)
[00:38:28 -10106.619135] SLOW spr round 7 (radius: 15)
[00:38:47 -10106.619081] SLOW spr round 8 (radius: 20)
[00:39:06 -10105.214778] SLOW spr round 9 (radius: 5)
[00:39:24 -10104.462840] SLOW spr round 10 (radius: 5)
[00:39:39 -10104.462787] SLOW spr round 11 (radius: 10)
[00:39:51 -10104.462734] SLOW spr round 12 (radius: 15)
[00:40:09 -10104.462681] SLOW spr round 13 (radius: 20)
[00:40:29 -10104.462629] SLOW spr round 14 (radius: 25)
[00:40:50 -10104.462577] Model parameter optimization (eps = 0.100000)

[00:40:52] ML tree search #7, logLikelihood: -10104.321007

[00:40:52 -28876.975957] Initial branch length optimization
[00:40:53 -25117.743441] Model parameter optimization (eps = 10.000000)
[00:41:00 -24933.644333] AUTODETECT spr round 1 (radius: 5)
[00:41:08 -15809.095470] AUTODETECT spr round 2 (radius: 10)
[00:41:19 -11510.506780] AUTODETECT spr round 3 (radius: 15)
[00:41:32 -11148.241153] AUTODETECT spr round 4 (radius: 20)
[00:41:51 -11102.051777] AUTODETECT spr round 5 (radius: 25)
[00:42:08 -11102.049147] SPR radius for FAST iterations: 20 (autodetect)
[00:42:08 -11102.049147] Model parameter optimization (eps = 3.000000)
[00:42:14 -10991.319163] FAST spr round 1 (radius: 20)
[00:42:23 -10233.468238] FAST spr round 2 (radius: 20)
[00:42:33 -10139.984900] FAST spr round 3 (radius: 20)
[00:42:40 -10137.447688] FAST spr round 4 (radius: 20)
[00:42:48 -10137.446502] Model parameter optimization (eps = 1.000000)
[00:42:51 -10133.596838] SLOW spr round 1 (radius: 5)
[00:43:04 -10131.565290] SLOW spr round 2 (radius: 5)
[00:43:16 -10131.439938] SLOW spr round 3 (radius: 5)
[00:43:28 -10129.360598] SLOW spr round 4 (radius: 5)
[00:43:39 -10129.357608] SLOW spr round 5 (radius: 10)
[00:43:51 -10129.357006] SLOW spr round 6 (radius: 15)
[00:44:11 -10125.362512] SLOW spr round 7 (radius: 5)
[00:44:29 -10125.362243] SLOW spr round 8 (radius: 10)
[00:44:45 -10125.362239] SLOW spr round 9 (radius: 15)
[00:45:03 -10125.362239] SLOW spr round 10 (radius: 20)
[00:45:26 -10125.362238] SLOW spr round 11 (radius: 25)
[00:45:48 -10125.362238] Model parameter optimization (eps = 0.100000)

[00:45:50] ML tree search #8, logLikelihood: -10125.035029

[00:45:50 -28801.316973] Initial branch length optimization
[00:45:50 -25112.223225] Model parameter optimization (eps = 10.000000)
[00:45:57 -24963.290935] AUTODETECT spr round 1 (radius: 5)
[00:46:06 -16421.062356] AUTODETECT spr round 2 (radius: 10)
[00:46:17 -11848.200759] AUTODETECT spr round 3 (radius: 15)
[00:46:30 -11120.202053] AUTODETECT spr round 4 (radius: 20)
[00:46:45 -11106.495742] AUTODETECT spr round 5 (radius: 25)
[00:47:01 -11106.481343] SPR radius for FAST iterations: 20 (autodetect)
[00:47:01 -11106.481343] Model parameter optimization (eps = 3.000000)
[00:47:07 -10998.277332] FAST spr round 1 (radius: 20)
[00:47:17 -10163.658035] FAST spr round 2 (radius: 20)
[00:47:25 -10146.487651] FAST spr round 3 (radius: 20)
[00:47:34 -10141.492577] FAST spr round 4 (radius: 20)
[00:47:41 -10135.304921] FAST spr round 5 (radius: 20)
[00:47:49 -10135.304677] Model parameter optimization (eps = 1.000000)
[00:47:52 -10121.142667] SLOW spr round 1 (radius: 5)
[00:48:05 -10116.977856] SLOW spr round 2 (radius: 5)
[00:48:17 -10116.976948] SLOW spr round 3 (radius: 10)
[00:48:29 -10116.644412] SLOW spr round 4 (radius: 5)
[00:48:45 -10116.644325] SLOW spr round 5 (radius: 10)
[00:48:58 -10116.050124] SLOW spr round 6 (radius: 5)
[00:49:14 -10116.050017] SLOW spr round 7 (radius: 10)
[00:49:28 -10116.049981] SLOW spr round 8 (radius: 15)
[00:49:46 -10116.049946] SLOW spr round 9 (radius: 20)
[00:50:06 -10116.049910] SLOW spr round 10 (radius: 25)
[00:50:29 -10116.049875] Model parameter optimization (eps = 0.100000)

[00:50:30] ML tree search #9, logLikelihood: -10116.039687

[00:50:30 -28782.441252] Initial branch length optimization
[00:50:31 -25220.279195] Model parameter optimization (eps = 10.000000)
[00:50:39 -25077.317724] AUTODETECT spr round 1 (radius: 5)
[00:50:47 -15688.018525] AUTODETECT spr round 2 (radius: 10)
[00:50:57 -11764.244448] AUTODETECT spr round 3 (radius: 15)
[00:51:11 -11240.469662] AUTODETECT spr round 4 (radius: 20)
[00:51:27 -11218.136537] AUTODETECT spr round 5 (radius: 25)
[00:51:44 -11211.274086] SPR radius for FAST iterations: 25 (autodetect)
[00:51:44 -11211.274086] Model parameter optimization (eps = 3.000000)
[00:51:50 -11098.522047] FAST spr round 1 (radius: 25)
[00:51:59 -10228.312673] FAST spr round 2 (radius: 25)
[00:52:08 -10145.674811] FAST spr round 3 (radius: 25)
[00:52:16 -10143.297959] FAST spr round 4 (radius: 25)
[00:52:23 -10143.288480] Model parameter optimization (eps = 1.000000)
[00:52:26 -10140.821911] SLOW spr round 1 (radius: 5)
[00:52:39 -10137.941205] SLOW spr round 2 (radius: 5)
[00:52:52 -10132.734109] SLOW spr round 3 (radius: 5)
[00:53:04 -10130.662079] SLOW spr round 4 (radius: 5)
[00:53:16 -10130.650739] SLOW spr round 5 (radius: 10)
[00:53:28 -10126.053627] SLOW spr round 6 (radius: 5)
[00:53:45 -10125.297518] SLOW spr round 7 (radius: 5)
[00:53:59 -10125.251340] SLOW spr round 8 (radius: 10)
[00:54:11 -10124.901287] SLOW spr round 9 (radius: 5)
[00:54:27 -10124.901235] SLOW spr round 10 (radius: 10)
[00:54:41 -10124.901191] SLOW spr round 11 (radius: 15)
[00:54:59 -10124.755113] SLOW spr round 12 (radius: 5)
[00:55:16 -10124.755062] SLOW spr round 13 (radius: 10)
[00:55:31 -10124.755017] SLOW spr round 14 (radius: 15)
[00:55:49 -10124.754973] SLOW spr round 15 (radius: 20)
[00:56:11 -10124.754930] SLOW spr round 16 (radius: 25)
[00:56:32 -10124.754886] Model parameter optimization (eps = 0.100000)

[00:56:36] ML tree search #10, logLikelihood: -10123.522106

[00:56:36 -28227.888531] Initial branch length optimization
[00:56:36 -24662.100386] Model parameter optimization (eps = 10.000000)
[00:56:43 -24526.634330] AUTODETECT spr round 1 (radius: 5)
[00:56:51 -15810.008343] AUTODETECT spr round 2 (radius: 10)
[00:57:01 -12488.148410] AUTODETECT spr round 3 (radius: 15)
[00:57:14 -11176.016081] AUTODETECT spr round 4 (radius: 20)
[00:57:29 -11117.834485] AUTODETECT spr round 5 (radius: 25)
[00:57:45 -11113.213768] SPR radius for FAST iterations: 25 (autodetect)
[00:57:45 -11113.213768] Model parameter optimization (eps = 3.000000)
[00:57:53 -10973.987479] FAST spr round 1 (radius: 25)
[00:58:03 -10190.043426] FAST spr round 2 (radius: 25)
[00:58:12 -10128.178647] FAST spr round 3 (radius: 25)
[00:58:20 -10126.730023] FAST spr round 4 (radius: 25)
[00:58:27 -10126.729732] Model parameter optimization (eps = 1.000000)
[00:58:33 -10120.111178] SLOW spr round 1 (radius: 5)
[00:58:46 -10117.424252] SLOW spr round 2 (radius: 5)
[00:58:58 -10117.339576] SLOW spr round 3 (radius: 10)
[00:59:10 -10113.295761] SLOW spr round 4 (radius: 5)
[00:59:26 -10113.295666] SLOW spr round 5 (radius: 10)
[00:59:39 -10113.295625] SLOW spr round 6 (radius: 15)
[00:59:56 -10113.295584] SLOW spr round 7 (radius: 20)
[01:00:15 -10112.781903] SLOW spr round 8 (radius: 5)
[01:00:34 -10108.945112] SLOW spr round 9 (radius: 5)
[01:00:48 -10108.945036] SLOW spr round 10 (radius: 10)
[01:01:01 -10108.944997] SLOW spr round 11 (radius: 15)
[01:01:18 -10108.944958] SLOW spr round 12 (radius: 20)
[01:01:38 -10108.944919] SLOW spr round 13 (radius: 25)
[01:01:59 -10108.944880] Model parameter optimization (eps = 0.100000)

[01:02:02] ML tree search #11, logLikelihood: -10108.726656

[01:02:02 -28717.009251] Initial branch length optimization
[01:02:02 -25045.144110] Model parameter optimization (eps = 10.000000)
[01:02:08 -24896.920887] AUTODETECT spr round 1 (radius: 5)
[01:02:16 -16376.586095] AUTODETECT spr round 2 (radius: 10)
[01:02:27 -12502.741272] AUTODETECT spr round 3 (radius: 15)
[01:02:39 -11709.060129] AUTODETECT spr round 4 (radius: 20)
[01:02:53 -11685.533228] AUTODETECT spr round 5 (radius: 25)
[01:03:08 -11685.523749] SPR radius for FAST iterations: 20 (autodetect)
[01:03:08 -11685.523749] Model parameter optimization (eps = 3.000000)
[01:03:15 -11571.061280] FAST spr round 1 (radius: 20)
[01:03:26 -10254.386500] FAST spr round 2 (radius: 20)
[01:03:35 -10162.848629] FAST spr round 3 (radius: 20)
[01:03:43 -10158.423447] FAST spr round 4 (radius: 20)
[01:03:50 -10158.423364] Model parameter optimization (eps = 1.000000)
[01:03:55 -10143.682785] SLOW spr round 1 (radius: 5)
[01:04:09 -10135.893830] SLOW spr round 2 (radius: 5)
[01:04:21 -10134.079495] SLOW spr round 3 (radius: 5)
[01:04:33 -10133.269203] SLOW spr round 4 (radius: 5)
[01:04:45 -10132.111550] SLOW spr round 5 (radius: 5)
[01:04:56 -10132.111299] SLOW spr round 6 (radius: 10)
[01:05:08 -10132.111298] SLOW spr round 7 (radius: 15)
[01:05:26 -10128.833033] SLOW spr round 8 (radius: 5)
[01:05:45 -10123.270653] SLOW spr round 9 (radius: 5)
[01:06:01 -10119.307184] SLOW spr round 10 (radius: 5)
[01:06:13 -10119.307092] SLOW spr round 11 (radius: 10)
[01:06:26 -10118.627918] SLOW spr round 12 (radius: 5)
[01:06:42 -10118.622391] SLOW spr round 13 (radius: 10)
[01:06:56 -10117.358065] SLOW spr round 14 (radius: 5)
[01:07:12 -10117.358018] SLOW spr round 15 (radius: 10)
[01:07:25 -10117.358018] SLOW spr round 16 (radius: 15)
[01:07:43 -10114.971618] SLOW spr round 17 (radius: 5)
[01:08:00 -10114.826358] SLOW spr round 18 (radius: 5)
[01:08:15 -10111.027021] SLOW spr round 19 (radius: 5)
[01:08:28 -10111.026988] SLOW spr round 20 (radius: 10)
[01:08:40 -10111.026988] SLOW spr round 21 (radius: 15)
[01:08:58 -10111.026988] SLOW spr round 22 (radius: 20)
[01:09:19 -10111.026988] SLOW spr round 23 (radius: 25)
[01:09:41 -10111.026988] Model parameter optimization (eps = 0.100000)

[01:09:44] ML tree search #12, logLikelihood: -10110.546367

[01:09:44 -28620.150576] Initial branch length optimization
[01:09:45 -24986.301218] Model parameter optimization (eps = 10.000000)
[01:09:51 -24857.033006] AUTODETECT spr round 1 (radius: 5)
[01:10:00 -16152.236515] AUTODETECT spr round 2 (radius: 10)
[01:10:10 -11752.528894] AUTODETECT spr round 3 (radius: 15)
[01:10:23 -11139.397612] AUTODETECT spr round 4 (radius: 20)
[01:10:38 -11112.183502] AUTODETECT spr round 5 (radius: 25)
[01:10:51 -11104.928070] SPR radius for FAST iterations: 25 (autodetect)
[01:10:51 -11104.928070] Model parameter optimization (eps = 3.000000)
[01:10:59 -10946.003605] FAST spr round 1 (radius: 25)
[01:11:09 -10186.888587] FAST spr round 2 (radius: 25)
[01:11:19 -10125.737835] FAST spr round 3 (radius: 25)
[01:11:27 -10114.953270] FAST spr round 4 (radius: 25)
[01:11:34 -10114.953089] Model parameter optimization (eps = 1.000000)
[01:11:38 -10113.704376] SLOW spr round 1 (radius: 5)
[01:11:51 -10109.045603] SLOW spr round 2 (radius: 5)
[01:12:03 -10108.971732] SLOW spr round 3 (radius: 10)
[01:12:14 -10108.427995] SLOW spr round 4 (radius: 5)
[01:12:31 -10108.427975] SLOW spr round 5 (radius: 10)
[01:12:45 -10108.102100] SLOW spr round 6 (radius: 5)
[01:13:00 -10108.102100] SLOW spr round 7 (radius: 10)
[01:13:14 -10108.102100] SLOW spr round 8 (radius: 15)
[01:13:32 -10108.102100] SLOW spr round 9 (radius: 20)
[01:13:53 -10108.102100] SLOW spr round 10 (radius: 25)
[01:14:16 -10108.102100] Model parameter optimization (eps = 0.100000)

[01:14:19] ML tree search #13, logLikelihood: -10107.240105

[01:14:19 -28869.280952] Initial branch length optimization
[01:14:20 -25123.221854] Model parameter optimization (eps = 10.000000)
[01:14:26 -25011.696015] AUTODETECT spr round 1 (radius: 5)
[01:14:34 -16293.512949] AUTODETECT spr round 2 (radius: 10)
[01:14:45 -12260.668027] AUTODETECT spr round 3 (radius: 15)
[01:14:59 -11405.682029] AUTODETECT spr round 4 (radius: 20)
[01:15:15 -11367.412408] AUTODETECT spr round 5 (radius: 25)
[01:15:31 -11345.343389] SPR radius for FAST iterations: 25 (autodetect)
[01:15:31 -11345.343389] Model parameter optimization (eps = 3.000000)
[01:15:37 -11193.197264] FAST spr round 1 (radius: 25)
[01:15:47 -10211.434780] FAST spr round 2 (radius: 25)
[01:15:56 -10131.031297] FAST spr round 3 (radius: 25)
[01:16:04 -10124.934308] FAST spr round 4 (radius: 25)
[01:16:11 -10123.467715] FAST spr round 5 (radius: 25)
[01:16:19 -10123.467427] Model parameter optimization (eps = 1.000000)
[01:16:22 -10117.488961] SLOW spr round 1 (radius: 5)
[01:16:35 -10116.260018] SLOW spr round 2 (radius: 5)
[01:16:47 -10116.259934] SLOW spr round 3 (radius: 10)
[01:16:59 -10116.259882] SLOW spr round 4 (radius: 15)
[01:17:17 -10113.862120] SLOW spr round 5 (radius: 5)
[01:17:35 -10113.788351] SLOW spr round 6 (radius: 10)
[01:17:50 -10112.065535] SLOW spr round 7 (radius: 5)
[01:18:06 -10109.851966] SLOW spr round 8 (radius: 5)
[01:18:19 -10109.851751] SLOW spr round 9 (radius: 10)
[01:18:31 -10109.851734] SLOW spr round 10 (radius: 15)
[01:18:49 -10108.926036] SLOW spr round 11 (radius: 5)
[01:19:07 -10108.057906] SLOW spr round 12 (radius: 5)
[01:19:21 -10108.057904] SLOW spr round 13 (radius: 10)
[01:19:34 -10108.057904] SLOW spr round 14 (radius: 15)
[01:19:51 -10108.057904] SLOW spr round 15 (radius: 20)
[01:20:12 -10108.057904] SLOW spr round 16 (radius: 25)
[01:20:33 -10108.057904] Model parameter optimization (eps = 0.100000)

[01:20:35] ML tree search #14, logLikelihood: -10107.978203

[01:20:35 -28606.817091] Initial branch length optimization
[01:20:35 -24904.995017] Model parameter optimization (eps = 10.000000)
[01:20:42 -24768.939737] AUTODETECT spr round 1 (radius: 5)
[01:20:50 -14348.250096] AUTODETECT spr round 2 (radius: 10)
[01:21:00 -11652.354066] AUTODETECT spr round 3 (radius: 15)
[01:21:14 -11252.284620] AUTODETECT spr round 4 (radius: 20)
[01:21:29 -11133.645565] AUTODETECT spr round 5 (radius: 25)
[01:21:45 -11133.642786] SPR radius for FAST iterations: 20 (autodetect)
[01:21:45 -11133.642786] Model parameter optimization (eps = 3.000000)
[01:21:50 -11022.887479] FAST spr round 1 (radius: 20)
[01:22:01 -10197.210153] FAST spr round 2 (radius: 20)
[01:22:09 -10147.188776] FAST spr round 3 (radius: 20)
[01:22:17 -10143.378270] FAST spr round 4 (radius: 20)
[01:22:25 -10140.827833] FAST spr round 5 (radius: 20)
[01:22:32 -10140.826066] Model parameter optimization (eps = 1.000000)
[01:22:36 -10132.686450] SLOW spr round 1 (radius: 5)
[01:22:49 -10130.460964] SLOW spr round 2 (radius: 5)
[01:23:01 -10129.975378] SLOW spr round 3 (radius: 5)
[01:23:13 -10129.975204] SLOW spr round 4 (radius: 10)
[01:23:25 -10127.507003] SLOW spr round 5 (radius: 5)
[01:23:42 -10122.641649] SLOW spr round 6 (radius: 5)
[01:23:56 -10122.641575] SLOW spr round 7 (radius: 10)
[01:24:08 -10121.633882] SLOW spr round 8 (radius: 5)
[01:24:24 -10121.633813] SLOW spr round 9 (radius: 10)
[01:24:38 -10121.003363] SLOW spr round 10 (radius: 5)
[01:24:53 -10121.003361] SLOW spr round 11 (radius: 10)
[01:25:06 -10121.003361] SLOW spr round 12 (radius: 15)
[01:25:24 -10119.598489] SLOW spr round 13 (radius: 5)
[01:25:41 -10119.598160] SLOW spr round 14 (radius: 10)
[01:25:56 -10119.598136] SLOW spr round 15 (radius: 15)
[01:26:13 -10119.598130] SLOW spr round 16 (radius: 20)
[01:26:33 -10119.598128] SLOW spr round 17 (radius: 25)
[01:26:56 -10119.598128] Model parameter optimization (eps = 0.100000)

[01:26:58] ML tree search #15, logLikelihood: -10119.529365

[01:26:58 -28567.359180] Initial branch length optimization
[01:26:58 -24997.665051] Model parameter optimization (eps = 10.000000)
[01:27:06 -24865.716850] AUTODETECT spr round 1 (radius: 5)
[01:27:14 -16013.223150] AUTODETECT spr round 2 (radius: 10)
[01:27:25 -11813.116511] AUTODETECT spr round 3 (radius: 15)
[01:27:40 -11420.825919] AUTODETECT spr round 4 (radius: 20)
[01:27:58 -11405.808632] AUTODETECT spr round 5 (radius: 25)
[01:28:15 -11405.805837] SPR radius for FAST iterations: 20 (autodetect)
[01:28:15 -11405.805837] Model parameter optimization (eps = 3.000000)
[01:28:22 -11267.419912] FAST spr round 1 (radius: 20)
[01:28:33 -10274.011953] FAST spr round 2 (radius: 20)
[01:28:42 -10171.334238] FAST spr round 3 (radius: 20)
[01:28:50 -10159.391656] FAST spr round 4 (radius: 20)
[01:28:58 -10157.835167] FAST spr round 5 (radius: 20)
[01:29:05 -10157.834180] Model parameter optimization (eps = 1.000000)
[01:29:09 -10154.738299] SLOW spr round 1 (radius: 5)
[01:29:23 -10151.035222] SLOW spr round 2 (radius: 5)
[01:29:35 -10146.174352] SLOW spr round 3 (radius: 5)
[01:29:47 -10144.952305] SLOW spr round 4 (radius: 5)
[01:29:58 -10144.949660] SLOW spr round 5 (radius: 10)
[01:30:10 -10144.645632] SLOW spr round 6 (radius: 5)
[01:30:26 -10144.645447] SLOW spr round 7 (radius: 10)
[01:30:39 -10144.645386] SLOW spr round 8 (radius: 15)
[01:30:57 -10120.912758] SLOW spr round 9 (radius: 5)
[01:31:15 -10119.372885] SLOW spr round 10 (radius: 5)
[01:31:29 -10119.372838] SLOW spr round 11 (radius: 10)
[01:31:41 -10119.256628] SLOW spr round 12 (radius: 5)
[01:31:57 -10118.591643] SLOW spr round 13 (radius: 5)
[01:32:11 -10118.591510] SLOW spr round 14 (radius: 10)
[01:32:23 -10118.591460] SLOW spr round 15 (radius: 15)
[01:32:41 -10118.591416] SLOW spr round 16 (radius: 20)
[01:33:02 -10118.591372] SLOW spr round 17 (radius: 25)
[01:33:24 -10118.591329] Model parameter optimization (eps = 0.100000)

[01:33:26] ML tree search #16, logLikelihood: -10118.337072

[01:33:26 -28680.045313] Initial branch length optimization
[01:33:27 -25054.098080] Model parameter optimization (eps = 10.000000)
[01:33:35 -24887.775867] AUTODETECT spr round 1 (radius: 5)
[01:33:44 -15789.772426] AUTODETECT spr round 2 (radius: 10)
[01:33:55 -11855.469093] AUTODETECT spr round 3 (radius: 15)
[01:34:07 -11494.754004] AUTODETECT spr round 4 (radius: 20)
[01:34:23 -11476.864518] AUTODETECT spr round 5 (radius: 25)
[01:34:39 -11475.571385] SPR radius for FAST iterations: 25 (autodetect)
[01:34:39 -11475.571385] Model parameter optimization (eps = 3.000000)
[01:34:44 -11334.800590] FAST spr round 1 (radius: 25)
[01:34:55 -10187.908015] FAST spr round 2 (radius: 25)
[01:35:04 -10121.194068] FAST spr round 3 (radius: 25)
[01:35:12 -10118.746573] FAST spr round 4 (radius: 25)
[01:35:19 -10118.745626] Model parameter optimization (eps = 1.000000)
[01:35:23 -10109.991080] SLOW spr round 1 (radius: 5)
[01:35:36 -10105.927611] SLOW spr round 2 (radius: 5)
[01:35:48 -10105.926607] SLOW spr round 3 (radius: 10)
[01:35:59 -10105.426973] SLOW spr round 4 (radius: 5)
[01:36:16 -10105.426915] SLOW spr round 5 (radius: 10)
[01:36:29 -10105.426858] SLOW spr round 6 (radius: 15)
[01:36:47 -10104.371869] SLOW spr round 7 (radius: 5)
[01:37:04 -10103.606570] SLOW spr round 8 (radius: 5)
[01:37:18 -10103.606512] SLOW spr round 9 (radius: 10)
[01:37:30 -10103.606457] SLOW spr round 10 (radius: 15)
[01:37:48 -10103.606401] SLOW spr round 11 (radius: 20)
[01:38:08 -10103.606346] SLOW spr round 12 (radius: 25)
[01:38:29 -10103.606290] Model parameter optimization (eps = 0.100000)

[01:38:31] ML tree search #17, logLikelihood: -10103.488958

[01:38:31 -28198.803940] Initial branch length optimization
[01:38:32 -24713.082544] Model parameter optimization (eps = 10.000000)
[01:38:39 -24562.924698] AUTODETECT spr round 1 (radius: 5)
[01:38:47 -15851.502141] AUTODETECT spr round 2 (radius: 10)
[01:38:58 -11654.928933] AUTODETECT spr round 3 (radius: 15)
[01:39:12 -10956.100903] AUTODETECT spr round 4 (radius: 20)
[01:39:28 -10937.363732] AUTODETECT spr round 5 (radius: 25)
[01:39:44 -10934.036427] SPR radius for FAST iterations: 25 (autodetect)
[01:39:44 -10934.036427] Model parameter optimization (eps = 3.000000)
[01:39:50 -10799.336734] FAST spr round 1 (radius: 25)
[01:39:59 -10153.201659] FAST spr round 2 (radius: 25)
[01:40:08 -10131.904091] FAST spr round 3 (radius: 25)
[01:40:16 -10116.212882] FAST spr round 4 (radius: 25)
[01:40:23 -10115.591235] FAST spr round 5 (radius: 25)
[01:40:30 -10115.591115] Model parameter optimization (eps = 1.000000)
[01:40:33 -10113.544186] SLOW spr round 1 (radius: 5)
[01:40:46 -10111.729779] SLOW spr round 2 (radius: 5)
[01:40:59 -10110.607420] SLOW spr round 3 (radius: 5)
[01:41:10 -10109.438246] SLOW spr round 4 (radius: 5)
[01:41:21 -10109.438194] SLOW spr round 5 (radius: 10)
[01:41:33 -10109.396469] SLOW spr round 6 (radius: 15)
[01:41:51 -10107.738144] SLOW spr round 7 (radius: 5)
[01:42:08 -10107.462080] SLOW spr round 8 (radius: 5)
[01:42:23 -10107.461991] SLOW spr round 9 (radius: 10)
[01:42:35 -10107.425243] SLOW spr round 10 (radius: 15)
[01:42:52 -10107.425170] SLOW spr round 11 (radius: 20)
[01:43:11 -10107.425124] SLOW spr round 12 (radius: 25)
[01:43:32 -10107.425080] Model parameter optimization (eps = 0.100000)

[01:43:34] ML tree search #18, logLikelihood: -10107.292629

[01:43:34 -28583.347448] Initial branch length optimization
[01:43:35 -24905.210247] Model parameter optimization (eps = 10.000000)
[01:43:42 -24757.782983] AUTODETECT spr round 1 (radius: 5)
[01:43:50 -16075.406944] AUTODETECT spr round 2 (radius: 10)
[01:44:01 -11924.567939] AUTODETECT spr round 3 (radius: 15)
[01:44:14 -11260.745871] AUTODETECT spr round 4 (radius: 20)
[01:44:27 -11190.817452] AUTODETECT spr round 5 (radius: 25)
[01:44:42 -11183.138874] SPR radius for FAST iterations: 25 (autodetect)
[01:44:42 -11183.138874] Model parameter optimization (eps = 3.000000)
[01:44:48 -11067.642471] FAST spr round 1 (radius: 25)
[01:44:59 -10213.983949] FAST spr round 2 (radius: 25)
[01:45:07 -10143.206065] FAST spr round 3 (radius: 25)
[01:45:16 -10135.107901] FAST spr round 4 (radius: 25)
[01:45:23 -10131.677731] FAST spr round 5 (radius: 25)
[01:45:30 -10131.676870] Model parameter optimization (eps = 1.000000)
[01:45:34 -10129.259075] SLOW spr round 1 (radius: 5)
[01:45:47 -10119.272236] SLOW spr round 2 (radius: 5)
[01:45:59 -10118.105974] SLOW spr round 3 (radius: 5)
[01:46:10 -10118.105855] SLOW spr round 4 (radius: 10)
[01:46:22 -10116.585182] SLOW spr round 5 (radius: 5)
[01:46:38 -10116.585113] SLOW spr round 6 (radius: 10)
[01:46:52 -10113.645480] SLOW spr round 7 (radius: 5)
[01:47:07 -10113.645118] SLOW spr round 8 (radius: 10)
[01:47:21 -10112.557705] SLOW spr round 9 (radius: 5)
[01:47:37 -10111.744287] SLOW spr round 10 (radius: 5)
[01:47:50 -10111.236010] SLOW spr round 11 (radius: 5)
[01:48:02 -10111.235760] SLOW spr round 12 (radius: 10)
[01:48:14 -10111.235718] SLOW spr round 13 (radius: 15)
[01:48:34 -10111.235679] SLOW spr round 14 (radius: 20)
[01:48:58 -10111.235640] SLOW spr round 15 (radius: 25)
[01:49:19 -10111.235601] Model parameter optimization (eps = 0.100000)

[01:49:21] ML tree search #19, logLikelihood: -10111.001719

[01:49:21 -28452.439260] Initial branch length optimization
[01:49:22 -24870.274039] Model parameter optimization (eps = 10.000000)
[01:49:30 -24736.324487] AUTODETECT spr round 1 (radius: 5)
[01:49:38 -15575.496611] AUTODETECT spr round 2 (radius: 10)
[01:49:49 -11962.508978] AUTODETECT spr round 3 (radius: 15)
[01:50:04 -11050.265863] AUTODETECT spr round 4 (radius: 20)
[01:50:22 -11037.974844] AUTODETECT spr round 5 (radius: 25)
[01:50:39 -11037.973533] SPR radius for FAST iterations: 20 (autodetect)
[01:50:39 -11037.973533] Model parameter optimization (eps = 3.000000)
[01:50:46 -10927.022961] FAST spr round 1 (radius: 20)
[01:50:56 -10253.454602] FAST spr round 2 (radius: 20)
[01:51:05 -10129.991999] FAST spr round 3 (radius: 20)
[01:51:12 -10127.936251] FAST spr round 4 (radius: 20)
[01:51:19 -10127.936169] Model parameter optimization (eps = 1.000000)
[01:51:22 -10125.947571] SLOW spr round 1 (radius: 5)
[01:51:35 -10125.282206] SLOW spr round 2 (radius: 5)
[01:51:47 -10125.282058] SLOW spr round 3 (radius: 10)
[01:51:58 -10120.587353] SLOW spr round 4 (radius: 5)
[01:52:15 -10117.538003] SLOW spr round 5 (radius: 5)
[01:52:28 -10117.537939] SLOW spr round 6 (radius: 10)
[01:52:40 -10115.924091] SLOW spr round 7 (radius: 5)
[01:52:56 -10115.923985] SLOW spr round 8 (radius: 10)
[01:53:10 -10115.807992] SLOW spr round 9 (radius: 5)
[01:53:25 -10115.807921] SLOW spr round 10 (radius: 10)
[01:53:38 -10115.721897] SLOW spr round 11 (radius: 15)
[01:53:56 -10114.439449] SLOW spr round 12 (radius: 5)
[01:54:13 -10112.939077] SLOW spr round 13 (radius: 5)
[01:54:27 -10112.939019] SLOW spr round 14 (radius: 10)
[01:54:40 -10112.938965] SLOW spr round 15 (radius: 15)
[01:54:57 -10112.938912] SLOW spr round 16 (radius: 20)
[01:55:16 -10112.938858] SLOW spr round 17 (radius: 25)
[01:55:37 -10112.938806] Model parameter optimization (eps = 0.100000)

[01:55:39] ML tree search #20, logLikelihood: -10112.696745


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.526777,0.738868) (0.014128,1.297962) (0.236404,1.250525) (0.222691,1.332854) 
   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: -10103.212505

AIC score: 21340.425011 / AICc score: 665452.425011 / BIC score: 22623.364501
Free parameters (model + branch lengths): 567

WARNING: Number of free parameters (K=567) is larger than alignment size (n=71).
         This might lead to overfitting and compromise tree inference results!


Best ML tree saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/A8MX34/3_mltree/A8MX34.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/A8MX34/3_mltree/A8MX34.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/A8MX34/3_mltree/A8MX34.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/A8MX34/3_mltree/A8MX34.raxml.log

Analysis started: 08-Jul-2021 09:07:09 / finished: 08-Jul-2021 11:02:49

Elapsed time: 6939.978 seconds