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 05-Jul-2021 08:04:25 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6N022/2_msa/Q6N022_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6N022/3_mltree/Q6N022 --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/Q6N022/2_msa/Q6N022_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 2699 sites

WARNING: Sequences tr_M3YP24_M3YP24_MUSPF_9669 and tr_A0A1U7U5F6_A0A1U7U5F6_TARSY_1868482 are exactly identical!
WARNING: Sequences tr_M3YP24_M3YP24_MUSPF_9669 and tr_A0A2U3YLL7_A0A2U3YLL7_LEPWE_9713 are exactly identical!
WARNING: Sequences tr_F6SEB7_F6SEB7_MACMU_9544 and tr_A0A2K5MN96_A0A2K5MN96_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F6SEB7_F6SEB7_MACMU_9544 and tr_A0A2K5ZTU5_A0A2K5ZTU5_MANLE_9568 are exactly identical!
WARNING: Sequences tr_H1A158_H1A158_TAEGU_59729 and tr_A0A091EU30_A0A091EU30_CORBR_85066 are exactly identical!
WARNING: Sequences tr_H1A158_H1A158_TAEGU_59729 and tr_A0A093HBL5_A0A093HBL5_STRCA_441894 are exactly identical!
WARNING: Sequences tr_H1A158_H1A158_TAEGU_59729 and tr_A0A099Z9B5_A0A099Z9B5_TINGU_94827 are exactly identical!
WARNING: Sequences tr_A0A2I3MVP4_A0A2I3MVP4_PAPAN_9555 and tr_A0A2K6BLA7_A0A2K6BLA7_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A091J1S3_A0A091J1S3_EGRGA_188379 and tr_A0A093PG44_A0A093PG44_9PASS_328815 are exactly identical!
WARNING: Sequences tr_A0A091J1S3_A0A091J1S3_EGRGA_188379 and tr_A0A091VIK7_A0A091VIK7_NIPNI_128390 are exactly identical!
WARNING: Sequences tr_A0A091J1S3_A0A091J1S3_EGRGA_188379 and tr_A0A087RFD4_A0A087RFD4_APTFO_9233 are exactly identical!
WARNING: Sequences tr_A0A091J1S3_A0A091J1S3_EGRGA_188379 and tr_A0A091XVT1_A0A091XVT1_OPIHO_30419 are exactly identical!
WARNING: Sequences tr_A0A091J1S3_A0A091J1S3_EGRGA_188379 and tr_A0A0A0A6J5_A0A0A0A6J5_CHAVO_50402 are exactly identical!
WARNING: Sequences tr_A0A091J1S3_A0A091J1S3_EGRGA_188379 and tr_A0A093GG98_A0A093GG98_DRYPU_118200 are exactly identical!
WARNING: Sequences tr_A0A091J1S3_A0A091J1S3_EGRGA_188379 and tr_A0A091I190_A0A091I190_CALAN_9244 are exactly identical!
WARNING: Duplicate sequences found: 15

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/Q6N022/3_mltree/Q6N022.raxml.reduced.phy

Alignment comprises 1 partitions and 2699 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 2699 / 2699
Gaps: 40.07 %
Invariant sites: 0.11 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6N022/3_mltree/Q6N022.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 1001 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 338 / 27040
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -2879295.096054] Initial branch length optimization
[00:00:19 -2248027.605590] Model parameter optimization (eps = 10.000000)
[00:02:59 -2243275.315744] AUTODETECT spr round 1 (radius: 5)
[00:08:25 -1382302.437618] AUTODETECT spr round 2 (radius: 10)
[00:14:15 -958816.926974] AUTODETECT spr round 3 (radius: 15)
[00:20:01 -786939.968923] AUTODETECT spr round 4 (radius: 20)
[00:27:56 -718506.531106] AUTODETECT spr round 5 (radius: 25)
[00:35:53 -691681.774154] SPR radius for FAST iterations: 25 (autodetect)
[00:35:53 -691681.774154] Model parameter optimization (eps = 3.000000)
[00:36:58 -689954.564583] FAST spr round 1 (radius: 25)
[00:44:49 -604150.889347] FAST spr round 2 (radius: 25)
[00:51:07 -599768.195324] FAST spr round 3 (radius: 25)
[00:56:40 -599517.733455] FAST spr round 4 (radius: 25)
[01:00:28 -599256.401467] FAST spr round 5 (radius: 25)
[01:03:38 -599256.324290] Model parameter optimization (eps = 1.000000)
[01:04:05 -599235.889635] SLOW spr round 1 (radius: 5)
[01:08:56 -599137.525208] SLOW spr round 2 (radius: 5)
[01:13:16 -599132.816440] SLOW spr round 3 (radius: 5)
[01:17:31 -599132.134273] SLOW spr round 4 (radius: 5)
[01:21:44 -599132.070166] SLOW spr round 5 (radius: 10)
[01:26:13 -599131.505324] SLOW spr round 6 (radius: 5)
[01:31:57 -599131.497892] SLOW spr round 7 (radius: 10)
[01:38:59 -599129.831148] SLOW spr round 8 (radius: 5)
[01:44:09 -599129.650132] SLOW spr round 9 (radius: 5)
[01:49:06 -599129.644830] SLOW spr round 10 (radius: 10)
[01:54:25 -599129.644456] SLOW spr round 11 (radius: 15)
[02:03:41 -599129.644244] SLOW spr round 12 (radius: 20)
[02:16:29 -599129.644057] SLOW spr round 13 (radius: 25)
[02:34:15 -599129.643889] Model parameter optimization (eps = 0.100000)

[02:34:33] ML tree search #1, logLikelihood: -599129.266840

[02:34:34 -2886642.916259] Initial branch length optimization
[02:34:51 -2242831.897846] Model parameter optimization (eps = 10.000000)
[02:37:22 -2237905.069865] AUTODETECT spr round 1 (radius: 5)
[02:41:59 -1413984.538201] AUTODETECT spr round 2 (radius: 10)
[02:47:03 -1066730.671940] AUTODETECT spr round 3 (radius: 15)
[02:52:20 -888567.791555] AUTODETECT spr round 4 (radius: 20)
[02:59:30 -740096.417832] AUTODETECT spr round 5 (radius: 25)
[03:08:24 -692733.440419] SPR radius for FAST iterations: 25 (autodetect)
[03:08:24 -692733.440419] Model parameter optimization (eps = 3.000000)
[03:09:33 -691137.519470] FAST spr round 1 (radius: 25)
[03:16:57 -603337.658859] FAST spr round 2 (radius: 25)
[03:22:08 -599557.867792] FAST spr round 3 (radius: 25)
[03:26:15 -599289.442467] FAST spr round 4 (radius: 25)
[03:29:39 -599239.767565] FAST spr round 5 (radius: 25)
[03:32:46 -599229.328334] FAST spr round 6 (radius: 25)
[03:35:47 -599182.313071] FAST spr round 7 (radius: 25)
[03:38:59 -599182.310100] Model parameter optimization (eps = 1.000000)
[03:39:29 -599159.596880] SLOW spr round 1 (radius: 5)
[03:45:37 -599077.407034] SLOW spr round 2 (radius: 5)
[03:49:57 -599076.232597] SLOW spr round 3 (radius: 5)
[03:54:07 -599076.229397] SLOW spr round 4 (radius: 10)
[03:58:33 -599076.228824] SLOW spr round 5 (radius: 15)
[04:06:02 -599071.926378] SLOW spr round 6 (radius: 5)
[04:11:21 -599070.000905] SLOW spr round 7 (radius: 5)
[04:15:54 -599069.663774] SLOW spr round 8 (radius: 5)
[04:20:02 -599069.661689] SLOW spr round 9 (radius: 10)
[04:24:17 -599069.660980] SLOW spr round 10 (radius: 15)
[04:32:00 -599069.660723] SLOW spr round 11 (radius: 20)
[04:44:06 -599068.937998] SLOW spr round 12 (radius: 5)
[04:49:37 -599067.811910] SLOW spr round 13 (radius: 5)
[04:54:17 -599067.810532] SLOW spr round 14 (radius: 10)
[04:58:54 -599067.810466] SLOW spr round 15 (radius: 15)
[05:06:22 -599067.810457] SLOW spr round 16 (radius: 20)
[05:18:39 -599067.810452] SLOW spr round 17 (radius: 25)
[05:35:26 -599067.801563] Model parameter optimization (eps = 0.100000)

[05:35:40] ML tree search #2, logLikelihood: -599067.601728

[05:35:41 -2856438.582738] Initial branch length optimization
[05:35:56 -2252011.250200] Model parameter optimization (eps = 10.000000)
[05:37:50 -2246581.184333] AUTODETECT spr round 1 (radius: 5)
[05:42:04 -1402865.520026] AUTODETECT spr round 2 (radius: 10)
[05:46:54 -945379.931429] AUTODETECT spr round 3 (radius: 15)
[05:51:46 -776274.192890] AUTODETECT spr round 4 (radius: 20)
[05:57:32 -694995.926584] AUTODETECT spr round 5 (radius: 25)
[06:03:58 -677879.908518] SPR radius for FAST iterations: 25 (autodetect)
[06:03:58 -677879.908518] Model parameter optimization (eps = 3.000000)
[06:04:59 -676567.124984] FAST spr round 1 (radius: 25)
[06:11:42 -602072.212074] FAST spr round 2 (radius: 25)
[06:16:38 -599066.813131] FAST spr round 3 (radius: 25)
[06:20:34 -598978.255844] FAST spr round 4 (radius: 25)
[06:23:44 -598971.204033] FAST spr round 5 (radius: 25)
[06:26:39 -598969.452849] FAST spr round 6 (radius: 25)
[06:29:25 -598969.449770] Model parameter optimization (eps = 1.000000)
[06:29:49 -598953.972379] SLOW spr round 1 (radius: 5)
[06:33:55 -598900.627152] SLOW spr round 2 (radius: 5)
[06:37:51 -598894.795494] SLOW spr round 3 (radius: 5)
[06:41:43 -598894.793848] SLOW spr round 4 (radius: 10)
[06:45:48 -598894.248672] SLOW spr round 5 (radius: 5)
[06:50:45 -598894.248143] SLOW spr round 6 (radius: 10)
[06:55:38 -598894.247933] SLOW spr round 7 (radius: 15)
[07:02:39 -598893.833091] SLOW spr round 8 (radius: 5)
[07:07:56 -598893.832702] SLOW spr round 9 (radius: 10)
[07:13:12 -598893.832543] SLOW spr round 10 (radius: 15)
[07:20:05 -598893.831933] SLOW spr round 11 (radius: 20)
[07:31:56 -598893.453162] SLOW spr round 12 (radius: 5)
[07:37:28 -598892.325795] SLOW spr round 13 (radius: 5)
[07:42:09 -598892.325513] SLOW spr round 14 (radius: 10)
[07:46:51 -598892.325427] SLOW spr round 15 (radius: 15)
[07:54:01 -598892.325346] SLOW spr round 16 (radius: 20)
[08:05:50 -598892.325266] SLOW spr round 17 (radius: 25)
[08:22:15 -598892.325186] Model parameter optimization (eps = 0.100000)

[08:22:31] ML tree search #3, logLikelihood: -598891.847349

[08:22:31 -2852850.366161] Initial branch length optimization
[08:22:47 -2242976.732552] Model parameter optimization (eps = 10.000000)
[08:24:34 -2237461.582935] AUTODETECT spr round 1 (radius: 5)
[08:28:49 -1420409.211564] AUTODETECT spr round 2 (radius: 10)
[08:33:33 -1004620.512447] AUTODETECT spr round 3 (radius: 15)
[08:38:40 -808493.942140] AUTODETECT spr round 4 (radius: 20)
[08:44:38 -745371.366395] AUTODETECT spr round 5 (radius: 25)
[08:51:31 -714470.740272] SPR radius for FAST iterations: 25 (autodetect)
[08:51:31 -714470.740272] Model parameter optimization (eps = 3.000000)
[08:52:47 -712965.387287] FAST spr round 1 (radius: 25)
[08:59:39 -606359.034163] FAST spr round 2 (radius: 25)
[09:04:09 -599929.241309] FAST spr round 3 (radius: 25)
[09:08:00 -599286.643608] FAST spr round 4 (radius: 25)
[09:11:32 -599205.283826] FAST spr round 5 (radius: 25)
[09:14:25 -599205.217152] Model parameter optimization (eps = 1.000000)
[09:14:55 -599178.203352] SLOW spr round 1 (radius: 5)
[09:19:06 -599070.791078] SLOW spr round 2 (radius: 5)
[09:23:07 -599069.147873] SLOW spr round 3 (radius: 5)
[09:27:00 -599069.145705] SLOW spr round 4 (radius: 10)
[09:31:09 -599068.279487] SLOW spr round 5 (radius: 5)
[09:36:05 -599068.279134] SLOW spr round 6 (radius: 10)
[09:41:01 -599068.278890] SLOW spr round 7 (radius: 15)
[09:48:03 -599068.278707] SLOW spr round 8 (radius: 20)
[09:59:56 -599068.139296] SLOW spr round 9 (radius: 5)
[10:05:25 -599068.137957] SLOW spr round 10 (radius: 10)
[10:10:57 -599068.137701] SLOW spr round 11 (radius: 15)
[10:17:51 -599068.137574] SLOW spr round 12 (radius: 20)
[10:29:47 -599068.137466] SLOW spr round 13 (radius: 25)
[10:46:09 -599068.137361] Model parameter optimization (eps = 0.100000)

[10:46:20] ML tree search #4, logLikelihood: -599067.936458

[10:46:21 -2884309.704114] Initial branch length optimization
[10:46:38 -2244708.990690] Model parameter optimization (eps = 10.000000)
[10:49:09 -2239563.260943] AUTODETECT spr round 1 (radius: 5)
[10:53:24 -1393547.619301] AUTODETECT spr round 2 (radius: 10)
[10:57:56 -993000.512488] AUTODETECT spr round 3 (radius: 15)
[11:02:50 -793157.297135] AUTODETECT spr round 4 (radius: 20)
[11:09:06 -691058.986202] AUTODETECT spr round 5 (radius: 25)
[11:17:02 -674403.964870] SPR radius for FAST iterations: 25 (autodetect)
[11:17:02 -674403.964870] Model parameter optimization (eps = 3.000000)
[11:18:06 -673042.431423] FAST spr round 1 (radius: 25)
[11:24:27 -603611.822343] FAST spr round 2 (radius: 25)
[11:29:13 -599319.793589] FAST spr round 3 (radius: 25)
[11:33:09 -599046.585800] FAST spr round 4 (radius: 25)
[11:36:13 -599045.177180] FAST spr round 5 (radius: 25)
[11:39:01 -599045.175595] Model parameter optimization (eps = 1.000000)
[11:39:30 -599013.235094] SLOW spr round 1 (radius: 5)
[11:43:50 -598933.753870] SLOW spr round 2 (radius: 5)
[11:47:55 -598929.483228] SLOW spr round 3 (radius: 5)
[11:51:46 -598929.481145] SLOW spr round 4 (radius: 10)
[11:55:57 -598925.825079] SLOW spr round 5 (radius: 5)
[12:00:54 -598925.823976] SLOW spr round 6 (radius: 10)
[12:05:46 -598925.823770] SLOW spr round 7 (radius: 15)
[12:12:48 -598925.750907] SLOW spr round 8 (radius: 20)
[12:24:39 -598925.349937] SLOW spr round 9 (radius: 5)
[12:30:04 -598925.349015] SLOW spr round 10 (radius: 10)
[12:35:31 -598925.348600] SLOW spr round 11 (radius: 15)
[12:42:25 -598925.348338] SLOW spr round 12 (radius: 20)
[12:54:24 -598925.348126] SLOW spr round 13 (radius: 25)
[13:10:48 -598925.347931] Model parameter optimization (eps = 0.100000)

[13:10:58] ML tree search #5, logLikelihood: -598925.263511

[13:10:59 -2845421.365915] Initial branch length optimization
[13:11:14 -2219548.315315] Model parameter optimization (eps = 10.000000)
[13:13:22 -2214723.504080] AUTODETECT spr round 1 (radius: 5)
[13:17:32 -1416954.276185] AUTODETECT spr round 2 (radius: 10)
[13:22:22 -1018002.686355] AUTODETECT spr round 3 (radius: 15)
[13:27:35 -777230.578519] AUTODETECT spr round 4 (radius: 20)
[13:33:54 -705872.957590] AUTODETECT spr round 5 (radius: 25)
[13:40:13 -694247.066299] SPR radius for FAST iterations: 25 (autodetect)
[13:40:13 -694247.066299] Model parameter optimization (eps = 3.000000)
[13:41:19 -692881.059260] FAST spr round 1 (radius: 25)
[13:47:38 -602738.071266] FAST spr round 2 (radius: 25)
[13:52:27 -599278.674526] FAST spr round 3 (radius: 25)
[13:56:20 -599198.053528] FAST spr round 4 (radius: 25)
[13:59:33 -599189.864148] FAST spr round 5 (radius: 25)
[14:02:23 -599189.847703] Model parameter optimization (eps = 1.000000)
[14:02:48 -599164.834807] SLOW spr round 1 (radius: 5)
[14:06:57 -599069.476396] SLOW spr round 2 (radius: 5)
[14:10:52 -599068.765696] SLOW spr round 3 (radius: 5)
[14:14:43 -599068.764145] SLOW spr round 4 (radius: 10)
[14:19:01 -599063.471137] SLOW spr round 5 (radius: 5)
[14:24:05 -599059.522996] SLOW spr round 6 (radius: 5)
[14:28:24 -599059.522702] SLOW spr round 7 (radius: 10)
[14:32:50 -599059.241263] SLOW spr round 8 (radius: 5)
[14:37:45 -599059.232360] SLOW spr round 9 (radius: 10)
[14:42:40 -599057.906003] SLOW spr round 10 (radius: 5)
[14:47:32 -599057.903590] SLOW spr round 11 (radius: 10)
[14:52:20 -599057.903460] SLOW spr round 12 (radius: 15)
[14:59:32 -599057.824679] SLOW spr round 13 (radius: 20)
[15:11:48 -599057.822565] SLOW spr round 14 (radius: 25)
[15:28:44 -599051.791114] SLOW spr round 15 (radius: 5)
[15:34:18 -599050.543472] SLOW spr round 16 (radius: 5)
[15:39:02 -599050.542821] SLOW spr round 17 (radius: 10)
[15:43:42 -599050.542707] SLOW spr round 18 (radius: 15)
[15:50:52 -599050.427541] SLOW spr round 19 (radius: 5)
[15:56:10 -599050.426553] SLOW spr round 20 (radius: 10)
[16:01:25 -599050.426404] SLOW spr round 21 (radius: 15)
[16:08:26 -599050.426293] SLOW spr round 22 (radius: 20)
[16:20:44 -599050.426185] SLOW spr round 23 (radius: 25)
[16:37:25 -599050.426077] Model parameter optimization (eps = 0.100000)

[16:37:36] ML tree search #6, logLikelihood: -599050.140726

[16:37:37 -2875043.575367] Initial branch length optimization
[16:37:55 -2221003.398139] Model parameter optimization (eps = 10.000000)
[16:39:50 -2216377.878876] AUTODETECT spr round 1 (radius: 5)
[16:44:03 -1436450.330130] AUTODETECT spr round 2 (radius: 10)
[16:48:44 -1073146.726482] AUTODETECT spr round 3 (radius: 15)
[16:53:37 -836574.652175] AUTODETECT spr round 4 (radius: 20)
[16:59:11 -723005.534665] AUTODETECT spr round 5 (radius: 25)
[17:05:45 -687482.156930] SPR radius for FAST iterations: 25 (autodetect)
[17:05:45 -687482.156930] Model parameter optimization (eps = 3.000000)
[17:07:03 -686086.648188] FAST spr round 1 (radius: 25)
[17:13:15 -603503.449112] FAST spr round 2 (radius: 25)
[17:17:55 -599313.043420] FAST spr round 3 (radius: 25)
[17:22:00 -599088.423340] FAST spr round 4 (radius: 25)
[17:25:12 -599080.316766] FAST spr round 5 (radius: 25)
[17:28:02 -599080.316245] Model parameter optimization (eps = 1.000000)
[17:28:28 -599064.264568] SLOW spr round 1 (radius: 5)
[17:32:43 -598949.468914] SLOW spr round 2 (radius: 5)
[17:36:50 -598933.990907] SLOW spr round 3 (radius: 5)
[17:40:42 -598933.988502] SLOW spr round 4 (radius: 10)
[17:44:50 -598933.456326] SLOW spr round 5 (radius: 5)
[17:49:47 -598933.456090] SLOW spr round 6 (radius: 10)
[17:54:42 -598933.455975] SLOW spr round 7 (radius: 15)
[18:01:58 -598933.455902] SLOW spr round 8 (radius: 20)
[18:14:20 -598933.051639] SLOW spr round 9 (radius: 5)
[18:19:46 -598933.051587] SLOW spr round 10 (radius: 10)
[18:25:20 -598933.051546] SLOW spr round 11 (radius: 15)
[18:32:28 -598933.051510] SLOW spr round 12 (radius: 20)
[18:44:56 -598933.051477] SLOW spr round 13 (radius: 25)
[19:02:04 -598933.051446] Model parameter optimization (eps = 0.100000)

[19:02:15] ML tree search #7, logLikelihood: -598932.957591

[19:02:15 -2881342.497830] Initial branch length optimization
[19:02:32 -2243028.635965] Model parameter optimization (eps = 10.000000)
[19:05:03 -2237860.389560] AUTODETECT spr round 1 (radius: 5)
[19:09:20 -1442694.794700] AUTODETECT spr round 2 (radius: 10)
[19:14:12 -976548.560448] AUTODETECT spr round 3 (radius: 15)
[19:19:16 -804337.595484] AUTODETECT spr round 4 (radius: 20)
[19:26:49 -765378.946558] AUTODETECT spr round 5 (radius: 25)
[19:34:55 -733679.069517] SPR radius for FAST iterations: 25 (autodetect)
[19:34:55 -733679.069517] Model parameter optimization (eps = 3.000000)
[19:35:55 -732083.214846] FAST spr round 1 (radius: 25)
[19:42:55 -608297.759845] FAST spr round 2 (radius: 25)
[19:48:01 -599420.846779] FAST spr round 3 (radius: 25)
[19:52:05 -599142.574664] FAST spr round 4 (radius: 25)
[19:55:14 -599139.688196] FAST spr round 5 (radius: 25)
[19:58:04 -599139.376724] FAST spr round 6 (radius: 25)
[20:00:50 -599139.375935] Model parameter optimization (eps = 1.000000)
[20:01:18 -599095.087877] SLOW spr round 1 (radius: 5)
[20:05:21 -598983.731372] SLOW spr round 2 (radius: 5)
[20:09:20 -598978.632139] SLOW spr round 3 (radius: 5)
[20:13:16 -598977.413556] SLOW spr round 4 (radius: 5)
[20:17:07 -598977.412217] SLOW spr round 5 (radius: 10)
[20:21:12 -598976.648683] SLOW spr round 6 (radius: 5)
[20:26:09 -598976.648498] SLOW spr round 7 (radius: 10)
[20:30:59 -598976.648335] SLOW spr round 8 (radius: 15)
[20:38:11 -598964.225832] SLOW spr round 9 (radius: 5)
[20:43:29 -598964.225065] SLOW spr round 10 (radius: 10)
[20:48:48 -598960.329701] SLOW spr round 11 (radius: 5)
[20:53:36 -598960.329497] SLOW spr round 12 (radius: 10)
[20:58:19 -598960.329391] SLOW spr round 13 (radius: 15)
[21:05:32 -598956.779877] SLOW spr round 14 (radius: 5)
[21:10:50 -598956.779434] SLOW spr round 15 (radius: 10)
[21:16:04 -598956.779354] SLOW spr round 16 (radius: 15)
[21:23:08 -598956.779278] SLOW spr round 17 (radius: 20)
[21:35:26 -598956.406655] SLOW spr round 18 (radius: 5)
[21:40:53 -598956.406573] SLOW spr round 19 (radius: 10)
[21:46:23 -598956.406500] SLOW spr round 20 (radius: 15)
[21:53:26 -598956.406428] SLOW spr round 21 (radius: 20)
[22:05:50 -598956.406357] SLOW spr round 22 (radius: 25)
[22:22:40 -598956.406286] Model parameter optimization (eps = 0.100000)

[22:22:51] ML tree search #8, logLikelihood: -598956.268435

[22:22:51 -2863805.494557] Initial branch length optimization
[22:23:06 -2233426.478816] Model parameter optimization (eps = 10.000000)
[22:25:38 -2228184.942692] AUTODETECT spr round 1 (radius: 5)
[22:29:53 -1418749.979938] AUTODETECT spr round 2 (radius: 10)
[22:34:48 -998552.819918] AUTODETECT spr round 3 (radius: 15)
[22:39:42 -786435.589580] AUTODETECT spr round 4 (radius: 20)
[22:46:08 -695682.524560] AUTODETECT spr round 5 (radius: 25)
[22:52:35 -683158.755780] SPR radius for FAST iterations: 25 (autodetect)
[22:52:35 -683158.755780] Model parameter optimization (eps = 3.000000)
[22:53:41 -681617.706329] FAST spr round 1 (radius: 25)
[22:59:59 -603830.140352] FAST spr round 2 (radius: 25)
[23:04:38 -599415.539128] FAST spr round 3 (radius: 25)
[23:08:37 -599191.896223] FAST spr round 4 (radius: 25)
[23:11:57 -599117.456807] FAST spr round 5 (radius: 25)
[23:14:53 -599117.450574] Model parameter optimization (eps = 1.000000)
[23:15:17 -599102.885025] SLOW spr round 1 (radius: 5)
[23:19:20 -598938.595599] SLOW spr round 2 (radius: 5)
[23:23:21 -598927.398990] SLOW spr round 3 (radius: 5)
[23:27:15 -598924.180267] SLOW spr round 4 (radius: 5)
[23:31:05 -598924.179616] SLOW spr round 5 (radius: 10)
[23:35:15 -598922.840030] SLOW spr round 6 (radius: 5)
[23:40:11 -598922.839939] SLOW spr round 7 (radius: 10)
[23:45:06 -598922.839850] SLOW spr round 8 (radius: 15)
[23:52:34 -598922.747231] SLOW spr round 9 (radius: 20)
[24:05:14 -598922.741894] SLOW spr round 10 (radius: 25)
[24:22:44 -598922.730051] Model parameter optimization (eps = 0.100000)

[24:22:59] ML tree search #9, logLikelihood: -598922.219834

[24:22:59 -2888804.297881] Initial branch length optimization
[24:23:17 -2251223.806326] Model parameter optimization (eps = 10.000000)
[24:25:35 -2246104.570428] AUTODETECT spr round 1 (radius: 5)
[24:29:46 -1401718.857029] AUTODETECT spr round 2 (radius: 10)
[24:34:34 -1007755.191278] AUTODETECT spr round 3 (radius: 15)
[24:39:36 -825944.827165] AUTODETECT spr round 4 (radius: 20)
[24:45:56 -704992.956930] AUTODETECT spr round 5 (radius: 25)
[24:52:33 -674059.580295] SPR radius for FAST iterations: 25 (autodetect)
[24:52:33 -674059.580295] Model parameter optimization (eps = 3.000000)
[24:53:32 -672451.673011] FAST spr round 1 (radius: 25)
[24:59:58 -601852.792794] FAST spr round 2 (radius: 25)
[25:04:47 -599189.191387] FAST spr round 3 (radius: 25)
[25:08:28 -599068.203950] FAST spr round 4 (radius: 25)
[25:11:39 -599048.579098] FAST spr round 5 (radius: 25)
[25:14:29 -599048.578622] Model parameter optimization (eps = 1.000000)
[25:14:58 -599035.201769] SLOW spr round 1 (radius: 5)
[25:19:12 -598955.249385] SLOW spr round 2 (radius: 5)
[25:23:17 -598948.322880] SLOW spr round 3 (radius: 5)
[25:27:11 -598947.604639] SLOW spr round 4 (radius: 5)
[25:31:02 -598947.604159] SLOW spr round 5 (radius: 10)
[25:35:21 -598933.984760] SLOW spr round 6 (radius: 5)
[25:40:21 -598933.890784] SLOW spr round 7 (radius: 10)
[25:45:17 -598933.890198] SLOW spr round 8 (radius: 15)
[25:52:51 -598930.586247] SLOW spr round 9 (radius: 5)
[25:58:09 -598930.475767] SLOW spr round 10 (radius: 5)
[26:02:41 -598930.474728] SLOW spr round 11 (radius: 10)
[26:07:16 -598930.473974] SLOW spr round 12 (radius: 15)
[26:14:48 -598930.473461] SLOW spr round 13 (radius: 20)
[26:27:10 -598930.128169] SLOW spr round 14 (radius: 5)
[26:32:37 -598930.127885] SLOW spr round 15 (radius: 10)
[26:38:09 -598930.127672] SLOW spr round 16 (radius: 15)
[26:45:22 -598930.127504] SLOW spr round 17 (radius: 20)
[26:57:54 -598930.127365] SLOW spr round 18 (radius: 25)
[27:14:57 -598930.127246] Model parameter optimization (eps = 0.100000)

[27:15:14] ML tree search #10, logLikelihood: -598929.812798

[27:15:14 -2864979.986553] Initial branch length optimization
[27:15:30 -2243083.957947] Model parameter optimization (eps = 10.000000)
[27:17:26 -2237439.266598] AUTODETECT spr round 1 (radius: 5)
[27:21:43 -1386878.029636] AUTODETECT spr round 2 (radius: 10)
[27:26:23 -1036504.727921] AUTODETECT spr round 3 (radius: 15)
[27:31:22 -793400.299530] AUTODETECT spr round 4 (radius: 20)
[27:38:38 -681663.343560] AUTODETECT spr round 5 (radius: 25)
[27:46:19 -669540.233896] SPR radius for FAST iterations: 25 (autodetect)
[27:46:19 -669540.233896] Model parameter optimization (eps = 3.000000)
[27:47:17 -668219.638906] FAST spr round 1 (radius: 25)
[27:54:12 -601099.307267] FAST spr round 2 (radius: 25)
[27:59:05 -599133.895292] FAST spr round 3 (radius: 25)
[28:02:46 -599052.420916] FAST spr round 4 (radius: 25)
[28:05:57 -599034.858784] FAST spr round 5 (radius: 25)
[28:08:49 -599033.433417] FAST spr round 6 (radius: 25)
[28:11:34 -599033.432755] Model parameter optimization (eps = 1.000000)
[28:11:59 -599018.779857] SLOW spr round 1 (radius: 5)
[28:15:57 -598907.809104] SLOW spr round 2 (radius: 5)
[28:19:56 -598906.047934] SLOW spr round 3 (radius: 5)
[28:23:48 -598906.046716] SLOW spr round 4 (radius: 10)
[28:27:57 -598905.931540] SLOW spr round 5 (radius: 5)
[28:32:54 -598905.931129] SLOW spr round 6 (radius: 10)
[28:37:49 -598905.930900] SLOW spr round 7 (radius: 15)
[28:44:48 -598905.930728] SLOW spr round 8 (radius: 20)
[28:56:46 -598905.060845] SLOW spr round 9 (radius: 5)
[29:02:12 -598905.059202] SLOW spr round 10 (radius: 10)
[29:07:43 -598905.058871] SLOW spr round 11 (radius: 15)
[29:14:35 -598905.058650] SLOW spr round 12 (radius: 20)
[29:26:36 -598905.058486] SLOW spr round 13 (radius: 25)
[29:43:12 -598905.058355] Model parameter optimization (eps = 0.100000)

[29:43:19] ML tree search #11, logLikelihood: -598905.016781

[29:43:19 -2886309.322639] Initial branch length optimization
[29:43:35 -2246431.430951] Model parameter optimization (eps = 10.000000)
[29:45:21 -2241452.999469] AUTODETECT spr round 1 (radius: 5)
[29:49:37 -1453135.669258] AUTODETECT spr round 2 (radius: 10)
[29:54:22 -1057179.722239] AUTODETECT spr round 3 (radius: 15)
[29:59:22 -835699.373399] AUTODETECT spr round 4 (radius: 20)
[30:05:23 -775348.229549] AUTODETECT spr round 5 (radius: 25)
[30:13:05 -729701.688243] SPR radius for FAST iterations: 25 (autodetect)
[30:13:05 -729701.688243] Model parameter optimization (eps = 3.000000)
[30:14:16 -728280.719718] FAST spr round 1 (radius: 25)
[30:20:31 -605642.196503] FAST spr round 2 (radius: 25)
[30:25:15 -599615.469440] FAST spr round 3 (radius: 25)
[30:28:54 -599247.835367] FAST spr round 4 (radius: 25)
[30:31:56 -599240.240019] FAST spr round 5 (radius: 25)
[30:34:45 -599240.238693] Model parameter optimization (eps = 1.000000)
[30:35:12 -599198.530604] SLOW spr round 1 (radius: 5)
[30:39:14 -599109.130531] SLOW spr round 2 (radius: 5)
[30:43:11 -599108.766216] SLOW spr round 3 (radius: 5)
[30:47:03 -599108.763804] SLOW spr round 4 (radius: 10)
[30:51:09 -599107.469116] SLOW spr round 5 (radius: 5)
[30:56:08 -599107.468905] SLOW spr round 6 (radius: 10)
[31:01:05 -599107.468766] SLOW spr round 7 (radius: 15)
[31:08:14 -599107.468650] SLOW spr round 8 (radius: 20)
[31:20:27 -599107.134890] SLOW spr round 9 (radius: 5)
[31:25:51 -599107.134776] SLOW spr round 10 (radius: 10)
[31:31:14 -599107.134670] SLOW spr round 11 (radius: 15)
[31:38:14 -599107.134565] SLOW spr round 12 (radius: 20)
[31:50:30 -599107.134460] SLOW spr round 13 (radius: 25)
[32:07:23 -599103.493884] SLOW spr round 14 (radius: 5)
[32:13:01 -599094.736373] SLOW spr round 15 (radius: 5)
[32:17:52 -599093.776604] SLOW spr round 16 (radius: 5)
[32:22:06 -599093.776032] SLOW spr round 17 (radius: 10)
[32:26:25 -599093.775888] SLOW spr round 18 (radius: 15)
[32:34:04 -599093.775768] SLOW spr round 19 (radius: 20)
[32:46:18 -599093.775656] SLOW spr round 20 (radius: 25)
[33:03:21 -599093.766514] Model parameter optimization (eps = 0.100000)

[33:03:35] ML tree search #12, logLikelihood: -599093.589096

[33:03:35 -2872255.932770] Initial branch length optimization
[33:03:52 -2233489.614631] Model parameter optimization (eps = 10.000000)
[33:05:55 -2228510.192502] AUTODETECT spr round 1 (radius: 5)
[33:10:14 -1422986.336265] AUTODETECT spr round 2 (radius: 10)
[33:15:00 -992250.192485] AUTODETECT spr round 3 (radius: 15)
[33:19:48 -791819.388397] AUTODETECT spr round 4 (radius: 20)
[33:25:54 -708138.354514] AUTODETECT spr round 5 (radius: 25)
[33:32:27 -679568.827609] SPR radius for FAST iterations: 25 (autodetect)
[33:32:27 -679568.827609] Model parameter optimization (eps = 3.000000)
[33:33:37 -678236.598003] FAST spr round 1 (radius: 25)
[33:40:10 -602583.193644] FAST spr round 2 (radius: 25)
[33:44:58 -599215.174576] FAST spr round 3 (radius: 25)
[33:48:39 -599074.494697] FAST spr round 4 (radius: 25)
[33:51:45 -599055.450828] FAST spr round 5 (radius: 25)
[33:54:35 -599055.445762] Model parameter optimization (eps = 1.000000)
[33:55:02 -599025.541507] SLOW spr round 1 (radius: 5)
[33:59:09 -598910.273939] SLOW spr round 2 (radius: 5)
[34:03:12 -598908.503532] SLOW spr round 3 (radius: 5)
[34:07:07 -598908.457741] SLOW spr round 4 (radius: 10)
[34:11:19 -598907.730958] SLOW spr round 5 (radius: 5)
[34:16:18 -598907.728312] SLOW spr round 6 (radius: 10)
[34:21:17 -598907.727348] SLOW spr round 7 (radius: 15)
[34:28:32 -598907.646633] SLOW spr round 8 (radius: 20)
[34:40:39 -598907.644119] SLOW spr round 9 (radius: 25)
[34:57:09 -598907.643246] Model parameter optimization (eps = 0.100000)

[34:57:33] ML tree search #13, logLikelihood: -598907.135688

[34:57:33 -2883570.969632] Initial branch length optimization
[34:57:49 -2254816.737153] Model parameter optimization (eps = 10.000000)
[34:59:45 -2249362.175897] AUTODETECT spr round 1 (radius: 5)
[35:04:05 -1419195.006181] AUTODETECT spr round 2 (radius: 10)
[35:08:49 -1024092.490382] AUTODETECT spr round 3 (radius: 15)
[35:13:46 -797885.604304] AUTODETECT spr round 4 (radius: 20)
[35:20:21 -713281.310768] AUTODETECT spr round 5 (radius: 25)
[35:27:28 -679571.589007] SPR radius for FAST iterations: 25 (autodetect)
[35:27:28 -679571.589007] Model parameter optimization (eps = 3.000000)
[35:28:25 -678047.316060] FAST spr round 1 (radius: 25)
[35:34:46 -601737.917978] FAST spr round 2 (radius: 25)
[35:39:29 -599213.673899] FAST spr round 3 (radius: 25)
[35:43:24 -599069.478699] FAST spr round 4 (radius: 25)
[35:46:25 -599069.476337] Model parameter optimization (eps = 1.000000)
[35:47:01 -599040.271519] SLOW spr round 1 (radius: 5)
[35:51:19 -598947.884046] SLOW spr round 2 (radius: 5)
[35:55:21 -598944.499083] SLOW spr round 3 (radius: 5)
[35:59:12 -598944.496753] SLOW spr round 4 (radius: 10)
[36:03:29 -598940.695380] SLOW spr round 5 (radius: 5)
[36:08:28 -598940.692938] SLOW spr round 6 (radius: 10)
[36:13:21 -598940.692779] SLOW spr round 7 (radius: 15)
[36:20:36 -598940.346587] SLOW spr round 8 (radius: 5)
[36:25:54 -598940.346409] SLOW spr round 9 (radius: 10)
[36:31:11 -598940.346325] SLOW spr round 10 (radius: 15)
[36:38:19 -598940.346245] SLOW spr round 11 (radius: 20)
[36:50:45 -598940.346167] SLOW spr round 12 (radius: 25)
[37:08:07 -598940.346091] Model parameter optimization (eps = 0.100000)

[37:08:32] ML tree search #14, logLikelihood: -598940.156807

[37:08:32 -2854465.866675] Initial branch length optimization
[37:08:52 -2245088.682617] Model parameter optimization (eps = 10.000000)
[37:11:09 -2239895.200463] AUTODETECT spr round 1 (radius: 5)
[37:15:22 -1441369.116610] AUTODETECT spr round 2 (radius: 10)
[37:20:20 -1023304.873383] AUTODETECT spr round 3 (radius: 15)
[37:25:19 -840016.826929] AUTODETECT spr round 4 (radius: 20)
[37:30:52 -743547.917522] AUTODETECT spr round 5 (radius: 25)
[37:38:01 -694962.925996] SPR radius for FAST iterations: 25 (autodetect)
[37:38:01 -694962.925996] Model parameter optimization (eps = 3.000000)
[37:38:58 -693667.107937] FAST spr round 1 (radius: 25)
[37:45:30 -603320.134133] FAST spr round 2 (radius: 25)
[37:50:06 -599474.321879] FAST spr round 3 (radius: 25)
[37:53:45 -599209.797828] FAST spr round 4 (radius: 25)
[37:56:49 -599205.290969] FAST spr round 5 (radius: 25)
[37:59:41 -599204.688724] FAST spr round 6 (radius: 25)
[38:02:26 -599204.686410] Model parameter optimization (eps = 1.000000)
[38:02:57 -599174.148493] SLOW spr round 1 (radius: 5)
[38:07:06 -599091.327825] SLOW spr round 2 (radius: 5)
[38:11:11 -599081.947060] SLOW spr round 3 (radius: 5)
[38:15:03 -599081.841655] SLOW spr round 4 (radius: 5)
[38:18:54 -599081.827854] SLOW spr round 5 (radius: 10)
[38:23:10 -599080.816509] SLOW spr round 6 (radius: 5)
[38:28:11 -599080.814997] SLOW spr round 7 (radius: 10)
[38:33:09 -599080.814445] SLOW spr round 8 (radius: 15)
[38:40:35 -599075.282584] SLOW spr round 9 (radius: 5)
[38:45:58 -599075.276927] SLOW spr round 10 (radius: 10)
[38:51:17 -599074.993536] SLOW spr round 11 (radius: 5)
[38:56:12 -599074.990071] SLOW spr round 12 (radius: 10)
[39:01:02 -599074.988732] SLOW spr round 13 (radius: 15)
[39:08:21 -599074.988042] SLOW spr round 14 (radius: 20)
[39:20:24 -599066.890295] SLOW spr round 15 (radius: 5)
[39:25:51 -599066.888319] SLOW spr round 16 (radius: 10)
[39:31:20 -599066.887130] SLOW spr round 17 (radius: 15)
[39:38:22 -599066.886745] SLOW spr round 18 (radius: 20)
[39:50:18 -599066.886496] SLOW spr round 19 (radius: 25)
[40:06:12 -599066.886315] Model parameter optimization (eps = 0.100000)

[40:06:19] ML tree search #15, logLikelihood: -599066.818579

[40:06:19 -2853184.914258] Initial branch length optimization
[40:06:38 -2227526.131547] Model parameter optimization (eps = 10.000000)
[40:09:06 -2222407.571313] AUTODETECT spr round 1 (radius: 5)
[40:13:21 -1406264.273658] AUTODETECT spr round 2 (radius: 10)
[40:18:11 -1017746.052423] AUTODETECT spr round 3 (radius: 15)
[40:22:58 -781748.290644] AUTODETECT spr round 4 (radius: 20)
[40:29:04 -700652.069827] AUTODETECT spr round 5 (radius: 25)
[40:34:54 -678709.451848] SPR radius for FAST iterations: 25 (autodetect)
[40:34:54 -678709.451848] Model parameter optimization (eps = 3.000000)
[40:35:57 -677283.387499] FAST spr round 1 (radius: 25)
[40:42:18 -602493.491291] FAST spr round 2 (radius: 25)
[40:46:48 -599419.780141] FAST spr round 3 (radius: 25)
[40:50:26 -599201.097413] FAST spr round 4 (radius: 25)
[40:53:42 -599162.105534] FAST spr round 5 (radius: 25)
[40:56:37 -599162.096445] Model parameter optimization (eps = 1.000000)
[40:56:59 -599141.067215] SLOW spr round 1 (radius: 5)
[41:01:10 -599042.023101] SLOW spr round 2 (radius: 5)
[41:05:17 -599018.825806] SLOW spr round 3 (radius: 5)
[41:09:16 -599017.020075] SLOW spr round 4 (radius: 5)
[41:13:08 -599016.985672] SLOW spr round 5 (radius: 10)
[41:17:17 -599015.126352] SLOW spr round 6 (radius: 5)
[41:22:14 -599015.125598] SLOW spr round 7 (radius: 10)
[41:27:12 -599015.125240] SLOW spr round 8 (radius: 15)
[41:34:29 -599013.888740] SLOW spr round 9 (radius: 5)
[41:39:50 -599012.589589] SLOW spr round 10 (radius: 5)
[41:44:26 -599012.588235] SLOW spr round 11 (radius: 10)
[41:49:02 -599012.588103] SLOW spr round 12 (radius: 15)
[41:56:28 -599012.588005] SLOW spr round 13 (radius: 20)
[42:08:43 -599012.587916] SLOW spr round 14 (radius: 25)
[42:25:16 -599011.034325] SLOW spr round 15 (radius: 5)
[42:30:47 -599011.032945] SLOW spr round 16 (radius: 10)
[42:36:28 -599011.032796] SLOW spr round 17 (radius: 15)
[42:43:36 -599011.032710] SLOW spr round 18 (radius: 20)
[42:55:56 -599011.032629] SLOW spr round 19 (radius: 25)
[43:12:27 -599011.032548] Model parameter optimization (eps = 0.100000)

[43:12:37] ML tree search #16, logLikelihood: -599010.968129

[43:12:37 -2868159.882016] Initial branch length optimization
[43:12:56 -2241834.296884] Model parameter optimization (eps = 10.000000)
[43:15:42 -2236482.756580] AUTODETECT spr round 1 (radius: 5)
[43:20:00 -1438726.036080] AUTODETECT spr round 2 (radius: 10)
[43:24:47 -1026907.769274] AUTODETECT spr round 3 (radius: 15)
[43:29:46 -811026.202851] AUTODETECT spr round 4 (radius: 20)
[43:36:39 -709197.379657] AUTODETECT spr round 5 (radius: 25)
[43:43:11 -693061.006725] SPR radius for FAST iterations: 25 (autodetect)
[43:43:11 -693061.006725] Model parameter optimization (eps = 3.000000)
[43:44:14 -691573.341783] FAST spr round 1 (radius: 25)
[43:51:18 -603312.078524] FAST spr round 2 (radius: 25)
[43:56:30 -599195.955318] FAST spr round 3 (radius: 25)
[44:00:40 -599106.135921] FAST spr round 4 (radius: 25)
[44:03:45 -599105.225901] FAST spr round 5 (radius: 25)
[44:06:33 -599105.224817] Model parameter optimization (eps = 1.000000)
[44:07:03 -599065.214681] SLOW spr round 1 (radius: 5)
[44:11:06 -598965.830775] SLOW spr round 2 (radius: 5)
[44:15:12 -598960.343100] SLOW spr round 3 (radius: 5)
[44:19:03 -598960.340349] SLOW spr round 4 (radius: 10)
[44:23:14 -598955.272155] SLOW spr round 5 (radius: 5)
[44:28:13 -598955.271102] SLOW spr round 6 (radius: 10)
[44:33:08 -598955.270882] SLOW spr round 7 (radius: 15)
[44:40:17 -598955.270697] SLOW spr round 8 (radius: 20)
[44:52:22 -598955.270518] SLOW spr round 9 (radius: 25)
[45:08:50 -598955.270342] Model parameter optimization (eps = 0.100000)

[45:09:06] ML tree search #17, logLikelihood: -598955.069403

[45:09:06 -2873269.116344] Initial branch length optimization
[45:09:24 -2238088.450534] Model parameter optimization (eps = 10.000000)
[45:11:56 -2232784.545453] AUTODETECT spr round 1 (radius: 5)
[45:16:12 -1432850.810916] AUTODETECT spr round 2 (radius: 10)
[45:20:56 -1026866.923047] AUTODETECT spr round 3 (radius: 15)
[45:26:00 -788888.169318] AUTODETECT spr round 4 (radius: 20)
[45:32:25 -707135.896484] AUTODETECT spr round 5 (radius: 25)
[45:39:36 -684960.936529] SPR radius for FAST iterations: 25 (autodetect)
[45:39:36 -684960.936529] Model parameter optimization (eps = 3.000000)
[45:40:35 -683364.648265] FAST spr round 1 (radius: 25)
[45:47:31 -603374.576526] FAST spr round 2 (radius: 25)
[45:52:20 -599202.213048] FAST spr round 3 (radius: 25)
[45:55:54 -599085.093397] FAST spr round 4 (radius: 25)
[45:59:02 -599079.162993] FAST spr round 5 (radius: 25)
[46:01:53 -599079.160949] Model parameter optimization (eps = 1.000000)
[46:02:17 -599057.101872] SLOW spr round 1 (radius: 5)
[46:06:24 -598927.613578] SLOW spr round 2 (radius: 5)
[46:10:21 -598926.645062] SLOW spr round 3 (radius: 5)
[46:14:12 -598926.641993] SLOW spr round 4 (radius: 10)
[46:18:17 -598926.104314] SLOW spr round 5 (radius: 5)
[46:23:14 -598926.103643] SLOW spr round 6 (radius: 10)
[46:28:06 -598926.103275] SLOW spr round 7 (radius: 15)
[46:35:22 -598925.404362] SLOW spr round 8 (radius: 5)
[46:40:43 -598925.387856] SLOW spr round 9 (radius: 10)
[46:46:04 -598924.981471] SLOW spr round 10 (radius: 5)
[46:50:50 -598924.981207] SLOW spr round 11 (radius: 10)
[46:55:32 -598924.981128] SLOW spr round 12 (radius: 15)
[47:02:48 -598924.981054] SLOW spr round 13 (radius: 20)
[47:15:19 -598924.604100] SLOW spr round 14 (radius: 5)
[47:20:45 -598924.604018] SLOW spr round 15 (radius: 10)
[47:26:15 -598924.603944] SLOW spr round 16 (radius: 15)
[47:33:21 -598924.603871] SLOW spr round 17 (radius: 20)
[47:46:07 -598924.603798] SLOW spr round 18 (radius: 25)
[48:03:08 -598924.603726] Model parameter optimization (eps = 0.100000)

[48:03:20] ML tree search #18, logLikelihood: -598924.547373

[48:03:20 -2871746.821649] Initial branch length optimization
[48:03:37 -2250602.166026] Model parameter optimization (eps = 10.000000)
[48:05:43 -2245327.007266] AUTODETECT spr round 1 (radius: 5)
[48:10:00 -1405913.505108] AUTODETECT spr round 2 (radius: 10)
[48:14:42 -989596.971178] AUTODETECT spr round 3 (radius: 15)
[48:19:39 -771001.840659] AUTODETECT spr round 4 (radius: 20)
[48:25:14 -702700.911816] AUTODETECT spr round 5 (radius: 25)
[48:32:00 -670670.908708] SPR radius for FAST iterations: 25 (autodetect)
[48:32:00 -670670.908708] Model parameter optimization (eps = 3.000000)
[48:33:00 -669385.885183] FAST spr round 1 (radius: 25)
[48:39:38 -601911.980107] FAST spr round 2 (radius: 25)
[48:44:02 -599447.788614] FAST spr round 3 (radius: 25)
[48:47:41 -599167.377403] FAST spr round 4 (radius: 25)
[48:50:58 -599155.190570] FAST spr round 5 (radius: 25)
[48:53:52 -599155.184891] Model parameter optimization (eps = 1.000000)
[48:54:16 -599139.695878] SLOW spr round 1 (radius: 5)
[48:58:20 -599051.732628] SLOW spr round 2 (radius: 5)
[49:02:23 -599046.200324] SLOW spr round 3 (radius: 5)
[49:06:16 -599046.197125] SLOW spr round 4 (radius: 10)
[49:10:23 -599044.883794] SLOW spr round 5 (radius: 5)
[49:15:21 -599044.883073] SLOW spr round 6 (radius: 10)
[49:20:18 -599044.882583] SLOW spr round 7 (radius: 15)
[49:27:31 -599044.882212] SLOW spr round 8 (radius: 20)
[49:39:31 -599038.521336] SLOW spr round 9 (radius: 5)
[49:45:01 -599038.514206] SLOW spr round 10 (radius: 10)
[49:50:36 -599038.513766] SLOW spr round 11 (radius: 15)
[49:57:42 -599038.513326] SLOW spr round 12 (radius: 20)
[50:09:43 -599038.512883] SLOW spr round 13 (radius: 25)
[50:26:21 -599018.657706] SLOW spr round 14 (radius: 5)
[50:31:52 -599018.523268] SLOW spr round 15 (radius: 5)
[50:36:37 -599018.521443] SLOW spr round 16 (radius: 10)
[50:41:20 -599018.520061] SLOW spr round 17 (radius: 15)
[50:48:36 -599018.519000] SLOW spr round 18 (radius: 20)
[51:00:23 -599018.518131] SLOW spr round 19 (radius: 25)
[51:16:47 -599018.517387] Model parameter optimization (eps = 0.100000)

[51:16:59] ML tree search #19, logLikelihood: -599018.483422

[51:17:00 -2868415.168848] Initial branch length optimization
[51:17:16 -2235203.518221] Model parameter optimization (eps = 10.000000)
[51:19:30 -2229942.369014] AUTODETECT spr round 1 (radius: 5)
[51:23:42 -1407681.753746] AUTODETECT spr round 2 (radius: 10)
[51:28:14 -1033152.369300] AUTODETECT spr round 3 (radius: 15)
[51:33:09 -900979.653647] AUTODETECT spr round 4 (radius: 20)
[51:39:01 -753567.388364] AUTODETECT spr round 5 (radius: 25)
[51:46:31 -700527.173519] SPR radius for FAST iterations: 25 (autodetect)
[51:46:31 -700527.173519] Model parameter optimization (eps = 3.000000)
[51:47:31 -699224.376252] FAST spr round 1 (radius: 25)
[51:54:05 -603093.463286] FAST spr round 2 (radius: 25)
[51:58:42 -599465.031935] FAST spr round 3 (radius: 25)
[52:02:26 -599190.643229] FAST spr round 4 (radius: 25)
[52:05:25 -599054.921339] FAST spr round 5 (radius: 25)
[52:07:51 -599054.793897] FAST spr round 6 (radius: 25)
[52:10:04 -599054.792906] Model parameter optimization (eps = 1.000000)
[52:10:28 -599022.569431] SLOW spr round 1 (radius: 5)
[52:13:42 -598954.009972] SLOW spr round 2 (radius: 5)
[52:16:55 -598950.212206] SLOW spr round 3 (radius: 5)
[52:20:23 -598950.208640] SLOW spr round 4 (radius: 10)
[52:24:35 -598949.498772] SLOW spr round 5 (radius: 5)
[52:29:50 -598949.495936] SLOW spr round 6 (radius: 10)
[52:34:48 -598949.495107] SLOW spr round 7 (radius: 15)
[52:40:57 -598949.038357] SLOW spr round 8 (radius: 5)
[52:45:13 -598949.035882] SLOW spr round 9 (radius: 10)
[52:50:08 -598949.035097] SLOW spr round 10 (radius: 15)
[52:55:46 -598949.034794] SLOW spr round 11 (radius: 20)
[53:07:03 -598942.512897] SLOW spr round 12 (radius: 5)
[53:13:07 -598942.501021] SLOW spr round 13 (radius: 10)
[53:18:36 -598942.500592] SLOW spr round 14 (radius: 15)
[53:25:21 -598942.500321] SLOW spr round 15 (radius: 20)
[53:37:24 -598942.500063] SLOW spr round 16 (radius: 25)
[53:53:31 -598941.918803] SLOW spr round 17 (radius: 5)
[53:59:20 -598941.916424] SLOW spr round 18 (radius: 10)
[54:05:08 -598941.916151] SLOW spr round 19 (radius: 15)
[54:11:58 -598941.915899] SLOW spr round 20 (radius: 20)
[54:24:17 -598941.915644] SLOW spr round 21 (radius: 25)
[54:41:19 -598941.915386] Model parameter optimization (eps = 0.100000)

[54:41:30] ML tree search #20, logLikelihood: -598941.754361


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.088940,0.389830) (0.116277,0.665412) (0.556205,0.892894) (0.238578,1.640236) 
   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: -598891.847349

AIC score: 1201793.694697 / AICc score: 1213401.284885 / BIC score: 1213624.471106
Free parameters (model + branch lengths): 2005

Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6N022/3_mltree/Q6N022.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6N022/3_mltree/Q6N022.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6N022/3_mltree/Q6N022.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q6N022/3_mltree/Q6N022.raxml.log

Analysis started: 05-Jul-2021 08:04:25 / finished: 07-Jul-2021 14:45:57

Elapsed time: 196891.140 seconds

Consumed energy: 17469.922 Wh (= 87 km in an electric car, or 437 km with an e-scooter!)