RAxML-NG v. 1.0.2 released on 22.02.2021 by The Exelixis Lab.
Developed by: Alexey M. Kozlov and Alexandros Stamatakis.
Contributors: Diego Darriba, Tomas Flouri, Benoit Morel, Sarah Lutteropp, Ben Bettisworth.
Latest version: https://github.com/amkozlov/raxml-ng
Questions/problems/suggestions? Please visit: https://groups.google.com/forum/#!forum/raxml

System: Intel(R) Xeon(R) Gold 6148 CPU @ 2.40GHz, 40 cores, 376 GB RAM

RAxML-NG was called at 01-Jul-2021 23:59:28 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P80748/2_msa/P80748_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P80748/3_mltree/P80748 --seed 2 --threads 2 --tree rand{20} pars{20}

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

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P80748/2_msa/P80748_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 118 sites

WARNING: Sequences tr_A0A2I2YJC5_A0A2I2YJC5_GORGO_9595 and tr_A0A2I3RV96_A0A2I3RV96_PANTR_9598 are exactly identical!
WARNING: Sequences tr_J9P8P3_J9P8P3_CANLF_9615 and tr_J9PAD4_J9PAD4_CANLF_9615 are exactly identical!
WARNING: Sequences tr_A0A2I3R9Z7_A0A2I3R9Z7_PANTR_9598 and tr_A0A2R8ZDZ2_A0A2R8ZDZ2_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3RDD7_A0A2I3RDD7_PANTR_9598 and tr_A0A2R8ZFI5_A0A2R8ZFI5_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3SXH8_A0A2I3SXH8_PANTR_9598 and tr_A0A2R9AKM0_A0A2R9AKM0_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3T0N1_A0A2I3T0N1_PANTR_9598 and tr_A0A2R8ZDA9_A0A2R8ZDA9_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3TUR2_A0A2I3TUR2_PANTR_9598 and tr_A0A2R8ZX92_A0A2R8ZX92_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H0XVL7_H0XVL7_OTOGA_30611 and tr_H0Y0H4_H0Y0H4_OTOGA_30611 are exactly identical!
WARNING: Sequences tr_F7F215_F7F215_MACMU_9544 and tr_A0A2K6ARQ7_A0A2K6ARQ7_MACNE_9545 are exactly identical!
WARNING: Sequences tr_H9H4S2_H9H4S2_MACMU_9544 and tr_H9H5B4_H9H5B4_MACMU_9544 are exactly identical!
WARNING: Sequences tr_A0A1B8XY36_A0A1B8XY36_XENTR_8364 and tr_F6TGA0_F6TGA0_XENTR_8364 are exactly identical!
WARNING: Sequences tr_A0A1B8XZI5_A0A1B8XZI5_XENTR_8364 and tr_F7CRI8_F7CRI8_XENTR_8364 are exactly identical!
WARNING: Sequences tr_A0A2R8MJT0_A0A2R8MJT0_CALJA_9483 and tr_A0A2R8P774_A0A2R8P774_CALJA_9483 are exactly identical!
WARNING: Sequences tr_A0A096NGH2_A0A096NGH2_PAPAN_9555 and tr_A0A2K5NS08_A0A2K5NS08_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A0D9RN59_A0A0D9RN59_CHLSB_60711 and tr_A0A0D9RN85_A0A0D9RN85_CHLSB_60711 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/P80748/3_mltree/P80748.raxml.reduced.phy

Alignment comprises 1 partitions and 118 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 118 / 118
Gaps: 9.88 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P80748/3_mltree/P80748.raxml.rba

Parallelization scheme autoconfig: 2 worker(s) x 1 thread(s)

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

[00:00:00] Generating 20 random starting tree(s) with 1001 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 118 / 9440
[00:00:00] Data distribution: max. searches per worker: 10

Starting ML tree search with 20 distinct starting trees

[00:00:00 -157231.583192] Initial branch length optimization
[00:00:02 -138911.696683] Model parameter optimization (eps = 10.000000)
[00:00:26 -138384.170685] AUTODETECT spr round 1 (radius: 5)
[00:02:19 -103822.790515] AUTODETECT spr round 2 (radius: 10)
[00:04:24 -78371.546763] AUTODETECT spr round 3 (radius: 15)
[00:06:48 -66167.008745] AUTODETECT spr round 4 (radius: 20)
[00:09:29 -64375.236611] AUTODETECT spr round 5 (radius: 25)
[00:13:05 -63394.911584] SPR radius for FAST iterations: 25 (autodetect)
[00:13:05 -63394.911584] Model parameter optimization (eps = 3.000000)
[00:13:25 -63127.650244] FAST spr round 1 (radius: 25)
[00:15:55 -56524.965274] FAST spr round 2 (radius: 25)
[00:17:53 -56104.794168] FAST spr round 3 (radius: 25)
[00:19:36 -56059.026298] FAST spr round 4 (radius: 25)
[00:21:08 -56057.059824] FAST spr round 5 (radius: 25)
[00:22:36 -56057.059579] Model parameter optimization (eps = 1.000000)
[00:22:49 -56053.046904] SLOW spr round 1 (radius: 5)
[00:24:50 -56025.958481] SLOW spr round 2 (radius: 5)
[00:26:46 -56016.627962] SLOW spr round 3 (radius: 5)
[00:28:35 -56014.839499] SLOW spr round 4 (radius: 5)
[00:30:22 -56014.839161] SLOW spr round 5 (radius: 10)
[00:32:10 -56014.349986] SLOW spr round 6 (radius: 5)
[00:34:22 -56014.347753] SLOW spr round 7 (radius: 10)
[00:36:22 -56013.411637] SLOW spr round 8 (radius: 5)
[00:38:35 -56010.009404] SLOW spr round 9 (radius: 5)
[00:40:33 -56010.009404] SLOW spr round 10 (radius: 10)
[00:42:25 -56010.009404] SLOW spr round 11 (radius: 15)
[00:45:06 -56010.009404] SLOW spr round 12 (radius: 20)
[00:48:53 -56009.898488] SLOW spr round 13 (radius: 5)
[00:51:15 -56007.876475] SLOW spr round 14 (radius: 5)
[00:53:20 -56007.874519] SLOW spr round 15 (radius: 10)
[00:55:15 -56006.398362] SLOW spr round 16 (radius: 5)
[00:57:28 -56005.514456] SLOW spr round 17 (radius: 5)
[00:59:27 -56005.514351] SLOW spr round 18 (radius: 10)
[01:01:18 -56005.398504] SLOW spr round 19 (radius: 5)
[01:03:29 -56005.056651] SLOW spr round 20 (radius: 5)
[01:05:28 -56005.056573] SLOW spr round 21 (radius: 10)
[01:07:20 -56005.056571] SLOW spr round 22 (radius: 15)
[01:09:18] [worker #1] ML tree search #2, logLikelihood: -55927.869087
[01:09:58 -56001.833426] SLOW spr round 23 (radius: 5)
[01:12:15 -56000.717746] SLOW spr round 24 (radius: 5)
[01:14:17 -56000.716706] SLOW spr round 25 (radius: 10)
[01:16:09 -56000.716610] SLOW spr round 26 (radius: 15)
[01:18:44 -56000.716589] SLOW spr round 27 (radius: 20)
[01:22:08 -56000.716584] SLOW spr round 28 (radius: 25)
[01:26:23 -56000.716583] Model parameter optimization (eps = 0.100000)

[01:26:27] [worker #0] ML tree search #1, logLikelihood: -56000.678391

[01:26:27 -157872.339055] Initial branch length optimization
[01:26:29 -139147.991533] Model parameter optimization (eps = 10.000000)
[01:26:53 -138635.422822] AUTODETECT spr round 1 (radius: 5)
[01:28:39 -104245.368551] AUTODETECT spr round 2 (radius: 10)
[01:30:36 -78186.111469] AUTODETECT spr round 3 (radius: 15)
[01:32:44 -66270.777678] AUTODETECT spr round 4 (radius: 20)
[01:35:19 -63715.110374] AUTODETECT spr round 5 (radius: 25)
[01:38:30 -63377.586736] SPR radius for FAST iterations: 25 (autodetect)
[01:38:31 -63377.586736] Model parameter optimization (eps = 3.000000)
[01:38:53 -63142.941392] FAST spr round 1 (radius: 25)
[01:41:15 -56431.191597] FAST spr round 2 (radius: 25)
[01:43:02 -56047.160384] FAST spr round 3 (radius: 25)
[01:44:34 -56025.948414] FAST spr round 4 (radius: 25)
[01:45:56 -56022.566522] FAST spr round 5 (radius: 25)
[01:47:17 -56021.614945] FAST spr round 6 (radius: 25)
[01:48:36 -56021.613743] Model parameter optimization (eps = 1.000000)
[01:48:47 -56018.845819] SLOW spr round 1 (radius: 5)
[01:50:47 -55997.827290] SLOW spr round 2 (radius: 5)
[01:52:42 -55997.046619] SLOW spr round 3 (radius: 5)
[01:54:30 -55997.046602] SLOW spr round 4 (radius: 10)
[01:56:21 -55994.824618] SLOW spr round 5 (radius: 5)
[01:58:34 -55994.824535] SLOW spr round 6 (radius: 10)
[02:00:32 -55994.824535] SLOW spr round 7 (radius: 15)
[02:03:12 -55992.330571] SLOW spr round 8 (radius: 5)
[02:05:33 -55986.504310] SLOW spr round 9 (radius: 5)
[02:07:36 -55984.289759] SLOW spr round 10 (radius: 5)
[02:09:29 -55984.289075] SLOW spr round 11 (radius: 10)
[02:11:19 -55984.289023] SLOW spr round 12 (radius: 15)
[02:14:07 -55981.168705] SLOW spr round 13 (radius: 5)
[02:16:29 -55970.696794] SLOW spr round 14 (radius: 5)
[02:18:30 -55970.696695] SLOW spr round 15 (radius: 10)
[02:20:25 -55967.658373] SLOW spr round 16 (radius: 5)
[02:22:35 -55967.658346] SLOW spr round 17 (radius: 10)
[02:24:33 -55967.416273] SLOW spr round 18 (radius: 5)
[02:26:44 -55966.467084] SLOW spr round 19 (radius: 5)
[02:28:41 -55966.466959] SLOW spr round 20 (radius: 10)
[02:30:31 -55966.466959] SLOW spr round 21 (radius: 15)
[02:33:11 -55966.113794] SLOW spr round 22 (radius: 5)
[02:35:17 -55966.113793] SLOW spr round 23 (radius: 10)
[02:37:14 -55966.113793] SLOW spr round 24 (radius: 15)
[02:39:44 -55965.883859] SLOW spr round 25 (radius: 5)
[02:41:53 -55965.275392] SLOW spr round 26 (radius: 5)
[02:43:47 -55965.275361] SLOW spr round 27 (radius: 10)
[02:45:31 -55965.275360] SLOW spr round 28 (radius: 15)
[02:48:05 -55965.275360] SLOW spr round 29 (radius: 20)
[02:52:27 -55965.275360] SLOW spr round 30 (radius: 25)
[02:55:09] [worker #1] ML tree search #4, logLikelihood: -55932.155529
[02:59:00 -55965.275360] Model parameter optimization (eps = 0.100000)

[02:59:05] [worker #0] ML tree search #3, logLikelihood: -55965.263571

[02:59:05 -157641.446865] Initial branch length optimization
[02:59:07 -139214.273974] Model parameter optimization (eps = 10.000000)
[02:59:37 -138621.691575] AUTODETECT spr round 1 (radius: 5)
[03:01:32 -102643.756227] AUTODETECT spr round 2 (radius: 10)
[03:03:43 -76875.385559] AUTODETECT spr round 3 (radius: 15)
[03:06:08 -66678.525350] AUTODETECT spr round 4 (radius: 20)
[03:08:53 -64799.516769] AUTODETECT spr round 5 (radius: 25)
[03:12:18 -63379.230454] SPR radius for FAST iterations: 25 (autodetect)
[03:12:18 -63379.230454] Model parameter optimization (eps = 3.000000)
[03:12:45 -63097.813872] FAST spr round 1 (radius: 25)
[03:15:15 -56493.636082] FAST spr round 2 (radius: 25)
[03:17:11 -56051.126385] FAST spr round 3 (radius: 25)
[03:18:59 -55988.143443] FAST spr round 4 (radius: 25)
[03:20:36 -55971.956755] FAST spr round 5 (radius: 25)
[03:22:06 -55971.956669] Model parameter optimization (eps = 1.000000)
[03:22:20 -55951.936600] SLOW spr round 1 (radius: 5)
[03:24:23 -55928.328275] SLOW spr round 2 (radius: 5)
[03:26:18 -55927.089028] SLOW spr round 3 (radius: 5)
[03:28:08 -55927.088952] SLOW spr round 4 (radius: 10)
[03:30:01 -55925.059491] SLOW spr round 5 (radius: 5)
[03:32:17 -55917.453487] SLOW spr round 6 (radius: 5)
[03:34:19 -55913.917776] SLOW spr round 7 (radius: 5)
[03:36:13 -55913.917636] SLOW spr round 8 (radius: 10)
[03:38:06 -55912.958800] SLOW spr round 9 (radius: 5)
[03:40:22 -55912.572285] SLOW spr round 10 (radius: 5)
[03:42:23 -55912.572253] SLOW spr round 11 (radius: 10)
[03:44:18 -55912.293619] SLOW spr round 12 (radius: 5)
[03:46:36 -55911.350398] SLOW spr round 13 (radius: 5)
[03:48:38 -55911.350308] SLOW spr round 14 (radius: 10)
[03:50:33 -55911.350308] SLOW spr round 15 (radius: 15)
[03:53:23 -55908.267503] SLOW spr round 16 (radius: 5)
[03:55:44 -55907.880051] SLOW spr round 17 (radius: 5)
[03:57:50 -55907.108913] SLOW spr round 18 (radius: 5)
[03:59:47 -55907.108828] SLOW spr round 19 (radius: 10)
[04:01:40 -55903.968024] SLOW spr round 20 (radius: 5)
[04:03:58 -55903.247213] SLOW spr round 21 (radius: 5)
[04:06:00 -55903.247185] SLOW spr round 22 (radius: 10)
[04:07:56 -55901.555344] SLOW spr round 23 (radius: 5)
[04:10:12 -55901.337464] SLOW spr round 24 (radius: 5)
[04:12:14 -55901.337464] SLOW spr round 25 (radius: 10)
[04:14:09 -55901.337464] SLOW spr round 26 (radius: 15)
[04:17:00 -55901.337464] SLOW spr round 27 (radius: 20)
[04:21:21 -55901.337464] SLOW spr round 28 (radius: 25)
[04:27:52 -55901.337464] Model parameter optimization (eps = 0.100000)

[04:28:05] [worker #0] ML tree search #5, logLikelihood: -55899.940074

[04:28:06 -158719.635146] Initial branch length optimization
[04:28:08 -139739.787217] Model parameter optimization (eps = 10.000000)
[04:28:37 -139252.150351] AUTODETECT spr round 1 (radius: 5)
[04:30:30 -103725.659810] AUTODETECT spr round 2 (radius: 10)
[04:32:39 -76956.422441] AUTODETECT spr round 3 (radius: 15)
[04:35:00 -66079.883518] AUTODETECT spr round 4 (radius: 20)
[04:37:44 -64017.060099] AUTODETECT spr round 5 (radius: 25)
[04:41:25 -63653.573638] SPR radius for FAST iterations: 25 (autodetect)
[04:41:25 -63653.573638] Model parameter optimization (eps = 3.000000)
[04:41:43 -63455.526486] FAST spr round 1 (radius: 25)
[04:44:11 -56824.885507] FAST spr round 2 (radius: 25)
[04:46:07 -56171.965568] FAST spr round 3 (radius: 25)
[04:47:48 -56123.094545] FAST spr round 4 (radius: 25)
[04:49:30 -56086.885313] FAST spr round 5 (radius: 25)
[04:50:59 -56086.884966] Model parameter optimization (eps = 1.000000)
[04:51:17 -56070.670945] SLOW spr round 1 (radius: 5)
[04:53:22 -56056.115593] SLOW spr round 2 (radius: 5)
[04:55:16 -56053.452168] SLOW spr round 3 (radius: 5)
[04:57:06 -56053.451801] SLOW spr round 4 (radius: 10)
[04:59:00 -56050.052702] SLOW spr round 5 (radius: 5)
[04:59:54] [worker #1] ML tree search #6, logLikelihood: -55939.509148
[05:01:16 -56045.762011] SLOW spr round 6 (radius: 5)
[05:03:19 -56044.740152] SLOW spr round 7 (radius: 5)
[05:05:15 -56040.793785] SLOW spr round 8 (radius: 5)
[05:07:07 -56040.445684] SLOW spr round 9 (radius: 5)
[05:08:56 -56040.445667] SLOW spr round 10 (radius: 10)
[05:10:50 -56039.911988] SLOW spr round 11 (radius: 5)
[05:13:10 -56037.851817] SLOW spr round 12 (radius: 5)
[05:15:16 -56035.557042] SLOW spr round 13 (radius: 5)
[05:17:13 -56035.377558] SLOW spr round 14 (radius: 5)
[05:19:07 -56035.377534] SLOW spr round 15 (radius: 10)
[05:21:00 -56035.244938] SLOW spr round 16 (radius: 5)
[05:23:21 -56026.057718] SLOW spr round 17 (radius: 5)
[05:25:27 -56025.278243] SLOW spr round 18 (radius: 5)
[05:27:24 -56025.278159] SLOW spr round 19 (radius: 10)
[05:29:18 -56025.278159] SLOW spr round 20 (radius: 15)
[05:32:16 -56024.118937] SLOW spr round 21 (radius: 5)
[05:34:44 -56006.187727] SLOW spr round 22 (radius: 5)
[05:36:55 -56002.126871] SLOW spr round 23 (radius: 5)
[05:38:52 -56002.125745] SLOW spr round 24 (radius: 10)
[05:40:44 -56002.125678] SLOW spr round 25 (radius: 15)
[05:43:38 -56001.455551] SLOW spr round 26 (radius: 5)
[05:45:59 -56000.759574] SLOW spr round 27 (radius: 5)
[05:48:04 -56000.759513] SLOW spr round 28 (radius: 10)
[05:50:00 -56000.759513] SLOW spr round 29 (radius: 15)
[05:52:50 -56000.759513] SLOW spr round 30 (radius: 20)
[05:57:08 -55999.656120] SLOW spr round 31 (radius: 5)
[05:59:31 -55999.655836] SLOW spr round 32 (radius: 10)
[06:01:45 -55998.343999] SLOW spr round 33 (radius: 5)
[06:03:59 -55997.136944] SLOW spr round 34 (radius: 5)
[06:06:01 -55996.360055] SLOW spr round 35 (radius: 5)
[06:07:56 -55996.359917] SLOW spr round 36 (radius: 10)
[06:09:49 -55995.009993] SLOW spr round 37 (radius: 5)
[06:12:07 -55990.744728] SLOW spr round 38 (radius: 5)
[06:14:09 -55987.731012] SLOW spr round 39 (radius: 5)
[06:16:04 -55987.730945] SLOW spr round 40 (radius: 10)
[06:17:57 -55987.730945] SLOW spr round 41 (radius: 15)
[06:20:50 -55987.730945] SLOW spr round 42 (radius: 20)
[06:25:01 -55987.730945] SLOW spr round 43 (radius: 25)
[06:27:07] [worker #1] ML tree search #8, logLikelihood: -55902.604294
[06:31:35 -55987.730945] Model parameter optimization (eps = 0.100000)

[06:31:47] [worker #0] ML tree search #7, logLikelihood: -55983.210164

[06:31:48 -157014.945904] Initial branch length optimization
[06:31:49 -139101.106635] Model parameter optimization (eps = 10.000000)
[06:32:16 -138504.269112] AUTODETECT spr round 1 (radius: 5)
[06:34:10 -101858.460590] AUTODETECT spr round 2 (radius: 10)
[06:36:15 -77552.308338] AUTODETECT spr round 3 (radius: 15)
[06:38:34 -67315.418809] AUTODETECT spr round 4 (radius: 20)
[06:41:32 -64131.657816] AUTODETECT spr round 5 (radius: 25)
[06:45:29 -63409.656474] SPR radius for FAST iterations: 25 (autodetect)
[06:45:29 -63409.656474] Model parameter optimization (eps = 3.000000)
[06:45:53 -63145.983871] FAST spr round 1 (radius: 25)
[06:48:30 -56398.728010] FAST spr round 2 (radius: 25)
[06:50:28 -56050.258918] FAST spr round 3 (radius: 25)
[06:52:15 -55996.702649] FAST spr round 4 (radius: 25)
[06:53:53 -55986.348366] FAST spr round 5 (radius: 25)
[06:55:24 -55986.348267] Model parameter optimization (eps = 1.000000)
[06:55:35 -55985.174355] SLOW spr round 1 (radius: 5)
[06:57:38 -55969.329575] SLOW spr round 2 (radius: 5)
[06:59:37 -55964.368912] SLOW spr round 3 (radius: 5)
[07:01:28 -55964.339284] SLOW spr round 4 (radius: 10)
[07:03:21 -55962.970264] SLOW spr round 5 (radius: 5)
[07:05:36 -55961.369918] SLOW spr round 6 (radius: 5)
[07:07:38 -55960.149260] SLOW spr round 7 (radius: 5)
[07:09:34 -55957.842598] SLOW spr round 8 (radius: 5)
[07:11:24 -55957.842590] SLOW spr round 9 (radius: 10)
[07:13:15 -55956.515210] SLOW spr round 10 (radius: 5)
[07:15:31 -55948.937889] SLOW spr round 11 (radius: 5)
[07:17:32 -55948.937757] SLOW spr round 12 (radius: 10)
[07:19:26 -55948.597628] SLOW spr round 13 (radius: 5)
[07:21:40 -55947.121986] SLOW spr round 14 (radius: 5)
[07:23:41 -55947.121985] SLOW spr round 15 (radius: 10)
[07:25:34 -55946.824454] SLOW spr round 16 (radius: 5)
[07:27:48 -55942.178350] SLOW spr round 17 (radius: 5)
[07:29:48 -55942.178249] SLOW spr round 18 (radius: 10)
[07:31:41 -55942.178248] SLOW spr round 19 (radius: 15)
[07:34:30 -55940.225330] SLOW spr round 20 (radius: 5)
[07:36:49 -55939.968175] SLOW spr round 21 (radius: 5)
[07:38:53 -55939.968175] SLOW spr round 22 (radius: 10)
[07:39:52] [worker #1] ML tree search #10, logLikelihood: -55970.030906
[07:40:48 -55939.968175] SLOW spr round 23 (radius: 15)
[07:43:37 -55939.968175] SLOW spr round 24 (radius: 20)
[07:48:11 -55939.207634] SLOW spr round 25 (radius: 5)
[07:50:32 -55939.207633] SLOW spr round 26 (radius: 10)
[07:52:42 -55938.206434] SLOW spr round 27 (radius: 5)
[07:54:56 -55937.602091] SLOW spr round 28 (radius: 5)
[07:56:57 -55937.601919] SLOW spr round 29 (radius: 10)
[07:58:51 -55937.134499] SLOW spr round 30 (radius: 5)
[08:01:06 -55937.134496] SLOW spr round 31 (radius: 10)
[08:03:08 -55937.134496] SLOW spr round 32 (radius: 15)
[08:05:56 -55937.134496] SLOW spr round 33 (radius: 20)
[08:10:35 -55937.134496] SLOW spr round 34 (radius: 25)
[08:17:06 -55937.134496] Model parameter optimization (eps = 0.100000)

[08:17:16] [worker #0] ML tree search #9, logLikelihood: -55936.992350

[08:17:16 -156762.925662] Initial branch length optimization
[08:17:18 -138606.984084] Model parameter optimization (eps = 10.000000)
[08:17:46 -138115.167844] AUTODETECT spr round 1 (radius: 5)
[08:19:40 -102234.954363] AUTODETECT spr round 2 (radius: 10)
[08:21:50 -76489.520961] AUTODETECT spr round 3 (radius: 15)
[08:24:10 -66492.123631] AUTODETECT spr round 4 (radius: 20)
[08:27:13 -62667.388779] AUTODETECT spr round 5 (radius: 25)
[08:30:37 -62588.155500] SPR radius for FAST iterations: 25 (autodetect)
[08:30:37 -62588.155500] Model parameter optimization (eps = 3.000000)
[08:30:59 -62336.935411] FAST spr round 1 (radius: 25)
[08:33:23 -56470.571299] FAST spr round 2 (radius: 25)
[08:35:15 -56094.803750] FAST spr round 3 (radius: 25)
[08:36:58 -56033.719233] FAST spr round 4 (radius: 25)
[08:38:34 -56023.951167] FAST spr round 5 (radius: 25)
[08:40:09 -56011.637453] FAST spr round 6 (radius: 25)
[08:41:41 -56004.100519] FAST spr round 7 (radius: 25)
[08:43:10 -56001.516528] FAST spr round 8 (radius: 25)
[08:44:37 -56001.516526] Model parameter optimization (eps = 1.000000)
[08:44:53 -55988.718060] SLOW spr round 1 (radius: 5)
[08:46:52 -55961.260891] SLOW spr round 2 (radius: 5)
[08:48:47 -55954.545727] SLOW spr round 3 (radius: 5)
[08:50:37 -55953.744538] SLOW spr round 4 (radius: 5)
[08:52:25 -55953.744173] SLOW spr round 5 (radius: 10)
[08:54:15 -55952.739824] SLOW spr round 6 (radius: 5)
[08:56:29 -55949.302629] SLOW spr round 7 (radius: 5)
[08:58:29 -55949.302626] SLOW spr round 8 (radius: 10)
[09:00:21 -55949.302626] SLOW spr round 9 (radius: 15)
[09:02:58 -55949.302626] SLOW spr round 10 (radius: 20)
[09:06:46 -55949.302626] SLOW spr round 11 (radius: 25)
[09:12:28 -55949.302626] Model parameter optimization (eps = 0.100000)

[09:12:35] [worker #0] ML tree search #11, logLikelihood: -55949.233350

[09:12:36 -158203.874932] Initial branch length optimization
[09:12:38 -139574.269944] Model parameter optimization (eps = 10.000000)
[09:13:12 -139049.351270] AUTODETECT spr round 1 (radius: 5)
[09:14:14] [worker #1] ML tree search #12, logLikelihood: -55983.507685
[09:15:07 -104209.779103] AUTODETECT spr round 2 (radius: 10)
[09:17:19 -77506.889471] AUTODETECT spr round 3 (radius: 15)
[09:19:37 -69573.495936] AUTODETECT spr round 4 (radius: 20)
[09:22:17 -66370.257341] AUTODETECT spr round 5 (radius: 25)
[09:26:50 -64341.389209] SPR radius for FAST iterations: 25 (autodetect)
[09:26:50 -64341.389209] Model parameter optimization (eps = 3.000000)
[09:27:08 -64075.455572] FAST spr round 1 (radius: 25)
[09:29:38 -56579.876567] FAST spr round 2 (radius: 25)
[09:31:36 -56121.654314] FAST spr round 3 (radius: 25)
[09:33:22 -56055.880208] FAST spr round 4 (radius: 25)
[09:35:02 -56030.707392] FAST spr round 5 (radius: 25)
[09:36:34 -56027.797088] FAST spr round 6 (radius: 25)
[09:38:03 -56027.796666] Model parameter optimization (eps = 1.000000)
[09:38:21 -55999.275653] SLOW spr round 1 (radius: 5)
[09:40:23 -55973.119362] SLOW spr round 2 (radius: 5)
[09:42:20 -55967.577511] SLOW spr round 3 (radius: 5)
[09:44:14 -55966.925783] SLOW spr round 4 (radius: 5)
[09:46:05 -55965.851171] SLOW spr round 5 (radius: 5)
[09:47:54 -55965.851137] SLOW spr round 6 (radius: 10)
[09:49:47 -55960.076706] SLOW spr round 7 (radius: 5)
[09:52:05 -55957.842507] SLOW spr round 8 (radius: 5)
[09:54:06 -55957.842334] SLOW spr round 9 (radius: 10)
[09:56:02 -55953.934740] SLOW spr round 10 (radius: 5)
[09:58:15 -55953.900321] SLOW spr round 11 (radius: 10)
[10:00:17 -55953.900148] SLOW spr round 12 (radius: 15)
[10:03:05 -55953.266322] SLOW spr round 13 (radius: 5)
[10:05:25 -55953.266104] SLOW spr round 14 (radius: 10)
[10:07:34 -55953.266071] SLOW spr round 15 (radius: 15)
[10:10:19 -55953.266063] SLOW spr round 16 (radius: 20)
[10:14:51 -55953.266061] SLOW spr round 17 (radius: 25)
[10:20:54 -55953.266059] Model parameter optimization (eps = 0.100000)

[10:21:06] [worker #0] ML tree search #13, logLikelihood: -55953.164965

[10:21:06 -157544.821575] Initial branch length optimization
[10:21:08 -138885.729636] Model parameter optimization (eps = 10.000000)
[10:21:35 -138362.850505] AUTODETECT spr round 1 (radius: 5)
[10:23:31 -102621.818922] AUTODETECT spr round 2 (radius: 10)
[10:25:38 -76632.311691] AUTODETECT spr round 3 (radius: 15)
[10:27:57 -66077.833261] AUTODETECT spr round 4 (radius: 20)
[10:30:45 -64077.773380] AUTODETECT spr round 5 (radius: 25)
[10:34:23 -63402.571117] SPR radius for FAST iterations: 25 (autodetect)
[10:34:23 -63402.571117] Model parameter optimization (eps = 3.000000)
[10:34:42 -63117.247012] FAST spr round 1 (radius: 25)
[10:37:12 -56427.174603] FAST spr round 2 (radius: 25)
[10:39:08 -56099.108861] FAST spr round 3 (radius: 25)
[10:40:54 -56041.298838] FAST spr round 4 (radius: 25)
[10:42:30 -56010.393001] FAST spr round 5 (radius: 25)
[10:44:02 -56001.694810] FAST spr round 6 (radius: 25)
[10:45:32 -55998.785410] FAST spr round 7 (radius: 25)
[10:46:59 -55998.785306] Model parameter optimization (eps = 1.000000)
[10:47:14 -55994.698518] SLOW spr round 1 (radius: 5)
[10:49:13 -55974.792783] SLOW spr round 2 (radius: 5)
[10:51:09 -55971.816563] SLOW spr round 3 (radius: 5)
[10:52:59 -55968.691990] SLOW spr round 4 (radius: 5)
[10:54:47 -55968.691943] SLOW spr round 5 (radius: 10)
[10:56:36 -55967.786584] SLOW spr round 6 (radius: 5)
[10:58:49 -55967.786519] SLOW spr round 7 (radius: 10)
[11:00:50 -55966.398646] SLOW spr round 8 (radius: 5)
[11:03:01 -55965.959675] SLOW spr round 9 (radius: 5)
[11:04:59 -55965.959619] SLOW spr round 10 (radius: 10)
[11:06:50 -55965.959592] SLOW spr round 11 (radius: 15)
[11:09:38 -55962.725151] SLOW spr round 12 (radius: 5)
[11:11:58 -55953.477192] SLOW spr round 13 (radius: 5)
[11:14:04 -55950.409742] SLOW spr round 14 (radius: 5)
[11:15:58 -55950.409446] SLOW spr round 15 (radius: 10)
[11:17:48 -55950.409419] SLOW spr round 16 (radius: 15)
[11:20:35 -55950.409395] SLOW spr round 17 (radius: 20)
[11:21:37] [worker #1] ML tree search #14, logLikelihood: -55954.523005
[11:24:38 -55943.176007] SLOW spr round 18 (radius: 5)
[11:26:58 -55942.851966] SLOW spr round 19 (radius: 5)
[11:29:03 -55942.851880] SLOW spr round 20 (radius: 10)
[11:30:59 -55940.855394] SLOW spr round 21 (radius: 5)
[11:33:12 -55940.855151] SLOW spr round 22 (radius: 10)
[11:35:11 -55940.855143] SLOW spr round 23 (radius: 15)
[11:37:50 -55940.855142] SLOW spr round 24 (radius: 20)
[11:41:54 -55940.855142] SLOW spr round 25 (radius: 25)
[11:47:56 -55940.855142] Model parameter optimization (eps = 0.100000)

[11:48:09] [worker #0] ML tree search #15, logLikelihood: -55940.395979

[11:48:09 -158614.783336] Initial branch length optimization
[11:48:12 -139967.611831] Model parameter optimization (eps = 10.000000)
[11:48:47 -139416.035188] AUTODETECT spr round 1 (radius: 5)
[11:50:42 -103181.880292] AUTODETECT spr round 2 (radius: 10)
[11:52:49 -78133.543084] AUTODETECT spr round 3 (radius: 15)
[11:55:10 -66876.943521] AUTODETECT spr round 4 (radius: 20)
[11:58:02 -62897.709513] AUTODETECT spr round 5 (radius: 25)
[12:01:55 -62721.136848] SPR radius for FAST iterations: 25 (autodetect)
[12:01:55 -62721.136848] Model parameter optimization (eps = 3.000000)
[12:02:16 -62492.975206] FAST spr round 1 (radius: 25)
[12:04:41 -56491.435698] FAST spr round 2 (radius: 25)
[12:06:37 -56112.267597] FAST spr round 3 (radius: 25)
[12:08:21 -56054.398042] FAST spr round 4 (radius: 25)
[12:09:58 -56038.721982] FAST spr round 5 (radius: 25)
[12:11:29 -56037.226041] FAST spr round 6 (radius: 25)
[12:12:57 -56037.225989] Model parameter optimization (eps = 1.000000)
[12:13:11 -56028.945275] SLOW spr round 1 (radius: 5)
[12:15:11 -56001.772531] SLOW spr round 2 (radius: 5)
[12:17:06 -55992.987891] SLOW spr round 3 (radius: 5)
[12:19:00 -55981.130203] SLOW spr round 4 (radius: 5)
[12:20:51 -55977.813415] SLOW spr round 5 (radius: 5)
[12:22:39 -55977.813392] SLOW spr round 6 (radius: 10)
[12:24:29 -55975.951092] SLOW spr round 7 (radius: 5)
[12:26:41 -55975.890250] SLOW spr round 8 (radius: 10)
[12:28:44 -55961.445719] SLOW spr round 9 (radius: 5)
[12:30:59 -55953.944987] SLOW spr round 10 (radius: 5)
[12:33:01 -55953.771099] SLOW spr round 11 (radius: 5)
[12:34:55 -55953.770969] SLOW spr round 12 (radius: 10)
[12:36:47 -55952.401516] SLOW spr round 13 (radius: 5)
[12:39:02 -55951.554286] SLOW spr round 14 (radius: 5)
[12:41:05 -55950.078479] SLOW spr round 15 (radius: 5)
[12:43:00 -55949.978634] SLOW spr round 16 (radius: 10)
[12:44:53 -55947.666450] SLOW spr round 17 (radius: 5)
[12:47:09 -55946.564840] SLOW spr round 18 (radius: 5)
[12:49:11 -55946.564654] SLOW spr round 19 (radius: 10)
[12:51:05 -55946.057979] SLOW spr round 20 (radius: 5)
[12:53:21 -55944.927566] SLOW spr round 21 (radius: 5)
[12:55:23 -55944.927522] SLOW spr round 22 (radius: 10)
[12:57:21 -55937.534039] SLOW spr round 23 (radius: 5)
[12:59:39 -55927.513101] SLOW spr round 24 (radius: 5)
[13:01:40 -55927.512239] SLOW spr round 25 (radius: 10)
[13:03:36 -55923.124232] SLOW spr round 26 (radius: 5)
[13:05:53 -55919.351517] SLOW spr round 27 (radius: 5)
[13:07:53 -55919.351275] SLOW spr round 28 (radius: 10)
[13:09:47 -55919.113363] SLOW spr round 29 (radius: 5)
[13:11:37] [worker #1] ML tree search #16, logLikelihood: -55927.225615
[13:12:04 -55912.789991] SLOW spr round 30 (radius: 5)
[13:14:08 -55909.373051] SLOW spr round 31 (radius: 5)
[13:16:02 -55909.372943] SLOW spr round 32 (radius: 10)
[13:17:54 -55909.288831] SLOW spr round 33 (radius: 15)
[13:20:43 -55908.884923] SLOW spr round 34 (radius: 5)
[13:23:01 -55908.884919] SLOW spr round 35 (radius: 10)
[13:25:08 -55906.726063] SLOW spr round 36 (radius: 5)
[13:27:19 -55906.725912] SLOW spr round 37 (radius: 10)
[13:29:17 -55906.725912] SLOW spr round 38 (radius: 15)
[13:32:00 -55906.372336] SLOW spr round 39 (radius: 5)
[13:34:18 -55906.372297] SLOW spr round 40 (radius: 10)
[13:36:25 -55906.372296] SLOW spr round 41 (radius: 15)
[13:39:04 -55906.093260] SLOW spr round 42 (radius: 5)
[13:41:21 -55906.093260] SLOW spr round 43 (radius: 10)
[13:43:28 -55906.093260] SLOW spr round 44 (radius: 15)
[13:46:06 -55905.812685] SLOW spr round 45 (radius: 5)
[13:48:24 -55905.812641] SLOW spr round 46 (radius: 10)
[13:50:31 -55905.812641] SLOW spr round 47 (radius: 15)
[13:53:07 -55905.812641] SLOW spr round 48 (radius: 20)
[13:57:20 -55905.812641] SLOW spr round 49 (radius: 25)
[14:03:35 -55905.812641] Model parameter optimization (eps = 0.100000)

[14:03:45] [worker #0] ML tree search #17, logLikelihood: -55904.515994

[14:03:45 -158759.267042] Initial branch length optimization
[14:03:47 -139750.057498] Model parameter optimization (eps = 10.000000)
[14:04:14 -139240.524426] AUTODETECT spr round 1 (radius: 5)
[14:06:06 -103250.082803] AUTODETECT spr round 2 (radius: 10)
[14:08:11 -78616.168571] AUTODETECT spr round 3 (radius: 15)
[14:10:33 -67012.629307] AUTODETECT spr round 4 (radius: 20)
[14:13:17 -63753.070248] AUTODETECT spr round 5 (radius: 25)
[14:16:44 -62487.583183] SPR radius for FAST iterations: 25 (autodetect)
[14:16:45 -62487.583183] Model parameter optimization (eps = 3.000000)
[14:17:05 -62278.121088] FAST spr round 1 (radius: 25)
[14:19:33 -56339.091042] FAST spr round 2 (radius: 25)
[14:21:27 -56067.367776] FAST spr round 3 (radius: 25)
[14:23:12 -56027.868696] FAST spr round 4 (radius: 25)
[14:24:47 -56015.103545] FAST spr round 5 (radius: 25)
[14:26:17 -56010.455645] FAST spr round 6 (radius: 25)
[14:27:46 -56010.455260] Model parameter optimization (eps = 1.000000)
[14:28:11 -55988.288117] SLOW spr round 1 (radius: 5)
[14:30:13 -55967.186362] SLOW spr round 2 (radius: 5)
[14:32:06 -55965.569995] SLOW spr round 3 (radius: 5)
[14:33:57 -55964.745697] SLOW spr round 4 (radius: 5)
[14:35:46 -55961.121747] SLOW spr round 5 (radius: 5)
[14:37:35 -55961.059590] SLOW spr round 6 (radius: 10)
[14:39:25 -55959.986555] SLOW spr round 7 (radius: 5)
[14:41:44 -55952.165590] SLOW spr round 8 (radius: 5)
[14:43:46 -55950.530648] SLOW spr round 9 (radius: 5)
[14:45:34] [worker #1] ML tree search #18, logLikelihood: -55944.592967
[14:45:41 -55947.797584] SLOW spr round 10 (radius: 5)
[14:47:31 -55947.797576] SLOW spr round 11 (radius: 10)
[14:49:22 -55947.355167] SLOW spr round 12 (radius: 5)
[14:51:39 -55940.873577] SLOW spr round 13 (radius: 5)
[14:53:39 -55940.870794] SLOW spr round 14 (radius: 10)
[14:55:31 -55940.752995] SLOW spr round 15 (radius: 5)
[14:57:48 -55933.267677] SLOW spr round 16 (radius: 5)
[14:59:48 -55933.267656] SLOW spr round 17 (radius: 10)
[15:01:40 -55933.267656] SLOW spr round 18 (radius: 15)
[15:04:22 -55932.863263] SLOW spr round 19 (radius: 5)
[15:06:40 -55932.863239] SLOW spr round 20 (radius: 10)
[15:08:46 -55932.863239] SLOW spr round 21 (radius: 15)
[15:11:21 -55932.863239] SLOW spr round 22 (radius: 20)
[15:15:27 -55932.863239] SLOW spr round 23 (radius: 25)
[15:20:59 -55932.863239] Model parameter optimization (eps = 0.100000)

[15:21:04] [worker #0] ML tree search #19, logLikelihood: -55932.805831

[15:56:09] [worker #1] ML tree search #20, logLikelihood: -55985.178852

Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.220700,0.362660) (0.150615,0.490094) (0.493044,0.901411) (0.135642,2.961559) 
   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: -55899.940074

AIC score: 115809.880148 / AICc score: 8159869.880148 / BIC score: 121365.102820
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=118).
         This might lead to overfitting and compromise tree inference results!


WARNING: Best ML tree contains 89 near-zero branches!

Best ML tree with collapsed near-zero branches saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P80748/3_mltree/P80748.raxml.bestTreeCollapsed
Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P80748/3_mltree/P80748.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P80748/3_mltree/P80748.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P80748/3_mltree/P80748.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P80748/3_mltree/P80748.raxml.log

Analysis started: 01-Jul-2021 23:59:28 / finished: 02-Jul-2021 15:55:37

Elapsed time: 57369.273 seconds

Consumed energy: 3732.692 Wh (= 19 km in an electric car, or 93 km with an e-scooter!)