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

System: Intel(R) Xeon(R) Gold 6140 CPU @ 2.30GHz, 36 cores, 251 GB RAM

RAxML-NG was called at 23-Jun-2021 00:20:13 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q92793/2_msa/Q92793_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q92793/3_mltree/Q92793 --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: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q92793/2_msa/Q92793_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 1301 sites

WARNING: Sequences sp_Q09472_EP300_HUMAN_9606 and tr_A0A2R9ATU0_A0A2R9ATU0_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A0E0G0V1_A0A0E0G0V1_ORYNI_4536 and tr_A0A0E0N9I9_A0A0E0N9I9_ORYRU_4529 are exactly identical!
WARNING: Sequences tr_F6RRA8_F6RRA8_MACMU_9544 and tr_A0A2K6DYW2_A0A2K6DYW2_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F6T7D0_F6T7D0_MACMU_9544 and tr_G7PFM4_G7PFM4_MACFA_9541 are exactly identical!
WARNING: Sequences tr_I1QAY8_I1QAY8_ORYGL_4538 and tr_A0A0D3GRF4_A0A0D3GRF4_9ORYZ_65489 are exactly identical!
WARNING: Sequences tr_A0A0E0NCF6_A0A0E0NCF6_ORYRU_4529 and tr_A3A538_A3A538_ORYSJ_39947 are exactly identical!
WARNING: Sequences tr_A0A0V1CRH0_A0A0V1CRH0_TRIBR_45882 and tr_A0A0V0VA43_A0A0V0VA43_9BILA_181606 are exactly identical!
WARNING: Sequences tr_A0A0V1CRH0_A0A0V1CRH0_TRIBR_45882 and tr_A0A0V0ZTE5_A0A0V0ZTE5_9BILA_990121 are exactly identical!
WARNING: Sequences tr_A0A0V1CRH0_A0A0V1CRH0_TRIBR_45882 and tr_A0A0V1NP30_A0A0V1NP30_9BILA_92180 are exactly identical!
WARNING: Sequences tr_A0A0V1CRH0_A0A0V1CRH0_TRIBR_45882 and tr_A0A0V0TMH6_A0A0V0TMH6_9BILA_144512 are exactly identical!
WARNING: Sequences tr_A0A0V0WRH6_A0A0V0WRH6_9BILA_92179 and tr_A0A0V1LGI5_A0A0V1LGI5_9BILA_6335 are exactly identical!
WARNING: Sequences tr_A0A1S3XKF4_A0A1S3XKF4_TOBAC_4097 and tr_A0A1U7XZV3_A0A1U7XZV3_NICSY_4096 are exactly identical!
WARNING: Sequences tr_A0A1S3VW91_A0A1S3VW91_VIGRR_3916 and tr_A0A3Q0EP20_A0A3Q0EP20_VIGRR_3916 are exactly identical!
WARNING: Sequences tr_A0A1I7UHP8_A0A1I7UHP8_9PELO_1561998 and tr_A0A1I7UHP9_A0A1I7UHP9_9PELO_1561998 are exactly identical!
WARNING: Sequences tr_A0A2D0PU48_A0A2D0PU48_ICTPU_7998 and tr_A0A2D0PVL7_A0A2D0PVL7_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0PU48_A0A2D0PU48_ICTPU_7998 and tr_A0A2D0PY73_A0A2D0PY73_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0PU53_A0A2D0PU53_ICTPU_7998 and tr_A0A2D0PVK0_A0A2D0PVK0_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0PU53_A0A2D0PU53_ICTPU_7998 and tr_A0A2D0PXB0_A0A2D0PXB0_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0S8R7_A0A2D0S8R7_ICTPU_7998 and tr_A0A2D0S8R9_A0A2D0S8R9_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0S8R7_A0A2D0S8R7_ICTPU_7998 and tr_A0A2D0S8T1_A0A2D0S8T1_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0S8R7_A0A2D0S8R7_ICTPU_7998 and tr_A0A2D0S9L4_A0A2D0S9L4_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0S8R7_A0A2D0S8R7_ICTPU_7998 and tr_A0A2D0S9M0_A0A2D0S9M0_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0S8R7_A0A2D0S8R7_ICTPU_7998 and tr_A0A2D0SA73_A0A2D0SA73_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0T1S8_A0A2D0T1S8_ICTPU_7998 and tr_A0A2D0T1T1_A0A2D0T1T1_ICTPU_7998 are exactly identical!
WARNING: Duplicate sequences found: 24

NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) 
NOTE: was saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q92793/3_mltree/Q92793.raxml.reduced.phy

Alignment comprises 1 partitions and 1301 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 1301 / 1301
Gaps: 36.60 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q92793/3_mltree/Q92793.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 / 163 / 13040
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -1554642.797378] Initial branch length optimization
[00:00:10 -1244848.062247] Model parameter optimization (eps = 10.000000)
[00:02:09 -1241288.817365] AUTODETECT spr round 1 (radius: 5)
[00:04:56 -920717.532857] AUTODETECT spr round 2 (radius: 10)
[00:07:49 -719860.311970] AUTODETECT spr round 3 (radius: 15)
[00:11:09 -595500.794925] AUTODETECT spr round 4 (radius: 20)
[00:14:51 -537695.006317] AUTODETECT spr round 5 (radius: 25)
[00:19:14 -527390.972558] SPR radius for FAST iterations: 25 (autodetect)
[00:19:14 -527390.972558] Model parameter optimization (eps = 3.000000)
[00:20:05 -525505.883695] FAST spr round 1 (radius: 25)
[00:24:26 -459868.431061] FAST spr round 2 (radius: 25)
[00:27:47 -457277.925636] FAST spr round 3 (radius: 25)
[00:30:39 -457127.234398] FAST spr round 4 (radius: 25)
[00:33:10 -457056.159976] FAST spr round 5 (radius: 25)
[00:35:21 -457046.804121] FAST spr round 6 (radius: 25)
[00:37:27 -457039.458620] FAST spr round 7 (radius: 25)
[00:39:27 -457039.088717] FAST spr round 8 (radius: 25)
[00:41:26 -457039.086625] Model parameter optimization (eps = 1.000000)
[00:41:45 -457030.641630] SLOW spr round 1 (radius: 5)
[00:44:27 -456925.961710] SLOW spr round 2 (radius: 5)
[00:47:05 -456922.636024] SLOW spr round 3 (radius: 5)
[00:49:42 -456922.321815] SLOW spr round 4 (radius: 5)
[00:52:18 -456922.321783] SLOW spr round 5 (radius: 10)
[00:55:26 -456920.267803] SLOW spr round 6 (radius: 5)
[00:58:44 -456919.226650] SLOW spr round 7 (radius: 5)
[01:01:40 -456919.226150] SLOW spr round 8 (radius: 10)
[01:05:03 -456918.643618] SLOW spr round 9 (radius: 5)
[01:08:17 -456914.875048] SLOW spr round 10 (radius: 5)
[01:11:12 -456912.124594] SLOW spr round 11 (radius: 5)
[01:13:56 -456912.122058] SLOW spr round 12 (radius: 10)
[01:17:08 -456911.943921] SLOW spr round 13 (radius: 5)
[01:20:24 -456911.915086] SLOW spr round 14 (radius: 10)
[01:24:04 -456911.912923] SLOW spr round 15 (radius: 15)
[01:30:10 -456911.736506] SLOW spr round 16 (radius: 5)
[01:33:33 -456911.732570] SLOW spr round 17 (radius: 10)
[01:37:24 -456911.731973] SLOW spr round 18 (radius: 15)
[01:43:27 -456911.731841] SLOW spr round 19 (radius: 20)
[01:53:01 -456911.731798] SLOW spr round 20 (radius: 25)
[02:04:18 -456911.731779] Model parameter optimization (eps = 0.100000)

[02:04:35] ML tree search #1, logLikelihood: -456911.246855

[02:04:36 -1565791.257676] Initial branch length optimization
[02:04:45 -1248026.306304] Model parameter optimization (eps = 10.000000)
[02:06:17 -1244448.908908] AUTODETECT spr round 1 (radius: 5)
[02:09:05 -941528.426313] AUTODETECT spr round 2 (radius: 10)
[02:12:06 -724407.539375] AUTODETECT spr round 3 (radius: 15)
[02:15:29 -588858.643137] AUTODETECT spr round 4 (radius: 20)
[02:19:04 -539721.648686] AUTODETECT spr round 5 (radius: 25)
[02:23:17 -527375.610768] SPR radius for FAST iterations: 25 (autodetect)
[02:23:17 -527375.610768] Model parameter optimization (eps = 3.000000)
[02:24:06 -525633.880676] FAST spr round 1 (radius: 25)
[02:28:37 -458908.956548] FAST spr round 2 (radius: 25)
[02:31:57 -457326.919915] FAST spr round 3 (radius: 25)
[02:34:47 -457087.456023] FAST spr round 4 (radius: 25)
[02:37:18 -457033.983933] FAST spr round 5 (radius: 25)
[02:39:30 -457027.995182] FAST spr round 6 (radius: 25)
[02:41:35 -457027.995136] Model parameter optimization (eps = 1.000000)
[02:42:01 -457010.955953] SLOW spr round 1 (radius: 5)
[02:44:41 -456931.911269] SLOW spr round 2 (radius: 5)
[02:47:25 -456903.178337] SLOW spr round 3 (radius: 5)
[02:50:04 -456902.590747] SLOW spr round 4 (radius: 5)
[02:52:42 -456902.589810] SLOW spr round 5 (radius: 10)
[02:55:47 -456898.924092] SLOW spr round 6 (radius: 5)
[02:59:07 -456895.947139] SLOW spr round 7 (radius: 5)
[03:02:04 -456895.947079] SLOW spr round 8 (radius: 10)
[03:05:23 -456895.786605] SLOW spr round 9 (radius: 5)
[03:08:38 -456895.761994] SLOW spr round 10 (radius: 10)
[03:12:15 -456895.760392] SLOW spr round 11 (radius: 15)
[03:18:20 -456894.608318] SLOW spr round 12 (radius: 5)
[03:21:46 -456894.386662] SLOW spr round 13 (radius: 5)
[03:24:47 -456894.385593] SLOW spr round 14 (radius: 10)
[03:28:11 -456894.384724] SLOW spr round 15 (radius: 15)
[03:34:21 -456894.384012] SLOW spr round 16 (radius: 20)
[03:44:03 -456894.383428] SLOW spr round 17 (radius: 25)
[03:55:33 -456894.382948] Model parameter optimization (eps = 0.100000)

[03:55:50] ML tree search #2, logLikelihood: -456893.343968

[03:55:50 -1561985.263270] Initial branch length optimization
[03:56:00 -1246365.396179] Model parameter optimization (eps = 10.000000)
[03:57:45 -1242894.241905] AUTODETECT spr round 1 (radius: 5)
[04:00:33 -941282.417353] AUTODETECT spr round 2 (radius: 10)
[04:03:30 -757903.856574] AUTODETECT spr round 3 (radius: 15)
[04:07:18 -590921.793273] AUTODETECT spr round 4 (radius: 20)
[04:11:47 -532314.560923] AUTODETECT spr round 5 (radius: 25)
[04:16:56 -520632.412119] SPR radius for FAST iterations: 25 (autodetect)
[04:16:56 -520632.412119] Model parameter optimization (eps = 3.000000)
[04:17:23 -518780.752125] FAST spr round 1 (radius: 25)
[04:22:13 -459208.827189] FAST spr round 2 (radius: 25)
[04:25:49 -457208.523038] FAST spr round 3 (radius: 25)
[04:28:40 -457070.374114] FAST spr round 4 (radius: 25)
[04:31:09 -457054.836647] FAST spr round 5 (radius: 25)
[04:33:22 -457054.088919] FAST spr round 6 (radius: 25)
[04:35:29 -457054.087427] Model parameter optimization (eps = 1.000000)
[04:35:57 -457011.363403] SLOW spr round 1 (radius: 5)
[04:38:42 -456926.911645] SLOW spr round 2 (radius: 5)
[04:41:28 -456906.882928] SLOW spr round 3 (radius: 5)
[04:44:08 -456903.671366] SLOW spr round 4 (radius: 5)
[04:46:46 -456903.670149] SLOW spr round 5 (radius: 10)
[04:49:52 -456901.799808] SLOW spr round 6 (radius: 5)
[04:53:12 -456901.433922] SLOW spr round 7 (radius: 5)
[04:56:10 -456901.433374] SLOW spr round 8 (radius: 10)
[04:59:30 -456901.236169] SLOW spr round 9 (radius: 5)
[05:02:46 -456901.220092] SLOW spr round 10 (radius: 10)
[05:06:24 -456901.219189] SLOW spr round 11 (radius: 15)
[05:12:24 -456901.218455] SLOW spr round 12 (radius: 20)
[05:21:45 -456901.217851] SLOW spr round 13 (radius: 25)
[05:33:05 -456901.217354] Model parameter optimization (eps = 0.100000)

[05:33:21] ML tree search #3, logLikelihood: -456900.700531

[05:33:21 -1577625.758962] Initial branch length optimization
[05:33:31 -1257102.159941] Model parameter optimization (eps = 10.000000)
[05:35:21 -1253598.539085] AUTODETECT spr round 1 (radius: 5)
[05:38:11 -951555.026569] AUTODETECT spr round 2 (radius: 10)
[05:41:09 -754661.667897] AUTODETECT spr round 3 (radius: 15)
[05:44:46 -588689.720446] AUTODETECT spr round 4 (radius: 20)
[05:48:38 -537364.739828] AUTODETECT spr round 5 (radius: 25)
[05:53:20 -527774.720193] SPR radius for FAST iterations: 25 (autodetect)
[05:53:20 -527774.720193] Model parameter optimization (eps = 3.000000)
[05:54:10 -525805.661044] FAST spr round 1 (radius: 25)
[05:58:43 -460461.136066] FAST spr round 2 (radius: 25)
[06:02:03 -457181.106787] FAST spr round 3 (radius: 25)
[06:04:50 -457044.672614] FAST spr round 4 (radius: 25)
[06:07:16 -457015.946559] FAST spr round 5 (radius: 25)
[06:09:29 -457008.032849] FAST spr round 6 (radius: 25)
[06:11:33 -457008.030479] Model parameter optimization (eps = 1.000000)
[06:11:53 -457003.813834] SLOW spr round 1 (radius: 5)
[06:14:32 -456942.012160] SLOW spr round 2 (radius: 5)
[06:17:15 -456938.389639] SLOW spr round 3 (radius: 5)
[06:19:54 -456930.698200] SLOW spr round 4 (radius: 5)
[06:22:32 -456930.695720] SLOW spr round 5 (radius: 10)
[06:25:41 -456926.498699] SLOW spr round 6 (radius: 5)
[06:28:59 -456926.487906] SLOW spr round 7 (radius: 10)
[06:32:41 -456925.402880] SLOW spr round 8 (radius: 5)
[06:35:58 -456924.062625] SLOW spr round 9 (radius: 5)
[06:38:56 -456922.428314] SLOW spr round 10 (radius: 5)
[06:41:43 -456920.121451] SLOW spr round 11 (radius: 5)
[06:44:26 -456920.121393] SLOW spr round 12 (radius: 10)
[06:47:33 -456920.121381] SLOW spr round 13 (radius: 15)
[06:53:46 -456920.121374] SLOW spr round 14 (radius: 20)
[07:02:42 -456920.121370] SLOW spr round 15 (radius: 25)
[07:13:29 -456920.121368] Model parameter optimization (eps = 0.100000)

[07:13:46] ML tree search #4, logLikelihood: -456918.999693

[07:13:46 -1544819.849434] Initial branch length optimization
[07:13:54 -1246964.414720] Model parameter optimization (eps = 10.000000)
[07:15:27 -1243094.063037] AUTODETECT spr round 1 (radius: 5)
[07:18:13 -940155.287607] AUTODETECT spr round 2 (radius: 10)
[07:21:13 -745766.805997] AUTODETECT spr round 3 (radius: 15)
[07:24:42 -608272.384321] AUTODETECT spr round 4 (radius: 20)
[07:28:23 -536333.030077] AUTODETECT spr round 5 (radius: 25)
[07:32:49 -524541.905818] SPR radius for FAST iterations: 25 (autodetect)
[07:32:49 -524541.905818] Model parameter optimization (eps = 3.000000)
[07:33:51 -522782.742538] FAST spr round 1 (radius: 25)
[07:38:36 -459625.316725] FAST spr round 2 (radius: 25)
[07:42:09 -457440.484730] FAST spr round 3 (radius: 25)
[07:45:06 -457054.798305] FAST spr round 4 (radius: 25)
[07:47:34 -457045.728260] FAST spr round 5 (radius: 25)
[07:49:46 -457045.726960] Model parameter optimization (eps = 1.000000)
[07:50:06 -457027.161751] SLOW spr round 1 (radius: 5)
[07:52:55 -456958.652595] SLOW spr round 2 (radius: 5)
[07:55:42 -456923.337968] SLOW spr round 3 (radius: 5)
[07:58:23 -456918.724991] SLOW spr round 4 (radius: 5)
[08:01:02 -456918.723753] SLOW spr round 5 (radius: 10)
[08:04:13 -456917.211551] SLOW spr round 6 (radius: 5)
[08:07:40 -456912.467869] SLOW spr round 7 (radius: 5)
[08:10:41 -456898.557342] SLOW spr round 8 (radius: 5)
[08:13:30 -456897.269056] SLOW spr round 9 (radius: 5)
[08:16:13 -456897.268889] SLOW spr round 10 (radius: 10)
[08:19:25 -456896.860749] SLOW spr round 11 (radius: 5)
[08:22:48 -456891.279784] SLOW spr round 12 (radius: 5)
[08:25:46 -456891.276820] SLOW spr round 13 (radius: 10)
[08:29:10 -456891.275056] SLOW spr round 14 (radius: 15)
[08:35:23 -456891.274008] SLOW spr round 15 (radius: 20)
[08:44:40 -456891.273387] SLOW spr round 16 (radius: 25)
[08:55:26 -456891.273019] Model parameter optimization (eps = 0.100000)

[08:55:38] ML tree search #5, logLikelihood: -456890.311700

[08:55:38 -1555941.991077] Initial branch length optimization
[08:55:48 -1253061.716228] Model parameter optimization (eps = 10.000000)
[08:57:14 -1249626.188491] AUTODETECT spr round 1 (radius: 5)
[09:00:00 -936828.455100] AUTODETECT spr round 2 (radius: 10)
[09:03:01 -738190.281226] AUTODETECT spr round 3 (radius: 15)
[09:06:33 -605405.059723] AUTODETECT spr round 4 (radius: 20)
[09:10:13 -550446.147739] AUTODETECT spr round 5 (radius: 25)
[09:15:04 -535523.020978] SPR radius for FAST iterations: 25 (autodetect)
[09:15:04 -535523.020978] Model parameter optimization (eps = 3.000000)
[09:15:53 -533597.679528] FAST spr round 1 (radius: 25)
[09:20:38 -461146.688006] FAST spr round 2 (radius: 25)
[09:24:25 -457321.741703] FAST spr round 3 (radius: 25)
[09:27:24 -457123.810940] FAST spr round 4 (radius: 25)
[09:29:48 -457079.927178] FAST spr round 5 (radius: 25)
[09:32:03 -457071.941701] FAST spr round 6 (radius: 25)
[09:34:09 -457071.492239] FAST spr round 7 (radius: 25)
[09:36:12 -457071.483359] Model parameter optimization (eps = 1.000000)
[09:36:30 -457062.591675] SLOW spr round 1 (radius: 5)
[09:39:15 -456953.346958] SLOW spr round 2 (radius: 5)
[09:41:58 -456950.813660] SLOW spr round 3 (radius: 5)
[09:44:39 -456946.910363] SLOW spr round 4 (radius: 5)
[09:47:17 -456946.909150] SLOW spr round 5 (radius: 10)
[09:50:25 -456945.772495] SLOW spr round 6 (radius: 5)
[09:53:45 -456945.640410] SLOW spr round 7 (radius: 5)
[09:56:44 -456945.639940] SLOW spr round 8 (radius: 10)
[10:00:05 -456945.400643] SLOW spr round 9 (radius: 5)
[10:03:22 -456945.326153] SLOW spr round 10 (radius: 10)
[10:07:00 -456945.324959] SLOW spr round 11 (radius: 15)
[10:12:55 -456945.324366] SLOW spr round 12 (radius: 20)
[10:22:28 -456942.465262] SLOW spr round 13 (radius: 5)
[10:26:00 -456942.464948] SLOW spr round 14 (radius: 10)
[10:29:58 -456942.464872] SLOW spr round 15 (radius: 15)
[10:35:50 -456942.464835] SLOW spr round 16 (radius: 20)
[10:45:25 -456942.464817] SLOW spr round 17 (radius: 25)
[10:56:39 -456929.431939] SLOW spr round 18 (radius: 5)
[11:00:17 -456918.236988] SLOW spr round 19 (radius: 5)
[11:03:26 -456917.263333] SLOW spr round 20 (radius: 5)
[11:06:19 -456917.259148] SLOW spr round 21 (radius: 10)
[11:09:34 -456916.034384] SLOW spr round 22 (radius: 5)
[11:12:52 -456913.935250] SLOW spr round 23 (radius: 5)
[11:15:52 -456913.371642] SLOW spr round 24 (radius: 5)
[11:18:39 -456913.369932] SLOW spr round 25 (radius: 10)
[11:21:49 -456912.579058] SLOW spr round 26 (radius: 5)
[11:25:09 -456912.578259] SLOW spr round 27 (radius: 10)
[11:28:47 -456912.578180] SLOW spr round 28 (radius: 15)
[11:34:37 -456912.547935] SLOW spr round 29 (radius: 20)
[11:44:03 -456912.539379] SLOW spr round 30 (radius: 25)
[11:55:10 -456912.537112] Model parameter optimization (eps = 0.100000)

[11:55:28] ML tree search #6, logLikelihood: -456911.923700

[11:55:28 -1556669.424821] Initial branch length optimization
[11:55:38 -1244345.987336] Model parameter optimization (eps = 10.000000)
[11:57:20 -1241052.446674] AUTODETECT spr round 1 (radius: 5)
[12:00:06 -922125.708010] AUTODETECT spr round 2 (radius: 10)
[12:03:07 -711653.054320] AUTODETECT spr round 3 (radius: 15)
[12:06:28 -588283.482743] AUTODETECT spr round 4 (radius: 20)
[12:10:20 -540812.623244] AUTODETECT spr round 5 (radius: 25)
[12:14:44 -532655.814010] SPR radius for FAST iterations: 25 (autodetect)
[12:14:44 -532655.814010] Model parameter optimization (eps = 3.000000)
[12:15:43 -530805.999912] FAST spr round 1 (radius: 25)
[12:20:07 -461067.641276] FAST spr round 2 (radius: 25)
[12:23:35 -457239.728811] FAST spr round 3 (radius: 25)
[12:26:23 -457051.469645] FAST spr round 4 (radius: 25)
[12:28:49 -457042.119333] FAST spr round 5 (radius: 25)
[12:31:02 -457040.872945] FAST spr round 6 (radius: 25)
[12:33:09 -457038.887371] FAST spr round 7 (radius: 25)
[12:35:13 -457038.887015] Model parameter optimization (eps = 1.000000)
[12:35:32 -457020.330552] SLOW spr round 1 (radius: 5)
[12:38:10 -456939.670716] SLOW spr round 2 (radius: 5)
[12:40:51 -456935.006258] SLOW spr round 3 (radius: 5)
[12:43:32 -456921.013483] SLOW spr round 4 (radius: 5)
[12:46:10 -456921.012620] SLOW spr round 5 (radius: 10)
[12:49:23 -456913.002318] SLOW spr round 6 (radius: 5)
[12:52:50 -456903.063752] SLOW spr round 7 (radius: 5)
[12:55:48 -456903.063320] SLOW spr round 8 (radius: 10)
[12:59:12 -456902.618265] SLOW spr round 9 (radius: 5)
[13:02:28 -456902.590211] SLOW spr round 10 (radius: 10)
[13:06:07 -456902.588228] SLOW spr round 11 (radius: 15)
[13:12:05 -456901.471993] SLOW spr round 12 (radius: 5)
[13:15:33 -456900.513706] SLOW spr round 13 (radius: 5)
[13:18:36 -456900.512475] SLOW spr round 14 (radius: 10)
[13:22:00 -456899.182011] SLOW spr round 15 (radius: 5)
[13:25:18 -456899.176049] SLOW spr round 16 (radius: 10)
[13:28:56 -456899.175496] SLOW spr round 17 (radius: 15)
[13:34:55 -456899.175046] SLOW spr round 18 (radius: 20)
[13:44:14 -456899.174677] SLOW spr round 19 (radius: 25)
[13:55:13 -456899.174374] Model parameter optimization (eps = 0.100000)

[13:55:25] ML tree search #7, logLikelihood: -456899.031318

[13:55:25 -1556602.179549] Initial branch length optimization
[13:55:35 -1252187.736759] Model parameter optimization (eps = 10.000000)
[13:57:17 -1248377.537027] AUTODETECT spr round 1 (radius: 5)
[14:00:08 -942864.871010] AUTODETECT spr round 2 (radius: 10)
[14:03:13 -733379.943171] AUTODETECT spr round 3 (radius: 15)
[14:06:29 -590071.060574] AUTODETECT spr round 4 (radius: 20)
[14:10:21 -544666.236557] AUTODETECT spr round 5 (radius: 25)
[14:14:57 -532194.469383] SPR radius for FAST iterations: 25 (autodetect)
[14:14:57 -532194.469383] Model parameter optimization (eps = 3.000000)
[14:15:48 -530223.271023] FAST spr round 1 (radius: 25)
[14:20:39 -459648.568862] FAST spr round 2 (radius: 25)
[14:24:14 -457280.433913] FAST spr round 3 (radius: 25)
[14:27:19 -457044.022938] FAST spr round 4 (radius: 25)
[14:29:45 -457041.056324] FAST spr round 5 (radius: 25)
[14:31:58 -457040.356812] FAST spr round 6 (radius: 25)
[14:34:06 -457040.355519] Model parameter optimization (eps = 1.000000)
[14:34:26 -457034.587799] SLOW spr round 1 (radius: 5)
[14:37:17 -456951.920403] SLOW spr round 2 (radius: 5)
[14:40:14 -456915.119527] SLOW spr round 3 (radius: 5)
[14:42:53 -456914.717365] SLOW spr round 4 (radius: 5)
[14:45:32 -456914.716925] SLOW spr round 5 (radius: 10)
[14:48:43 -456911.219868] SLOW spr round 6 (radius: 5)
[14:52:03 -456910.784277] SLOW spr round 7 (radius: 5)
[14:55:02 -456910.783151] SLOW spr round 8 (radius: 10)
[14:58:28 -456910.201962] SLOW spr round 9 (radius: 5)
[15:01:45 -456910.027447] SLOW spr round 10 (radius: 5)
[15:04:43 -456910.026562] SLOW spr round 11 (radius: 10)
[15:08:07 -456909.741173] SLOW spr round 12 (radius: 5)
[15:11:25 -456909.739415] SLOW spr round 13 (radius: 10)
[15:15:06 -456909.739149] SLOW spr round 14 (radius: 15)
[15:21:10 -456909.739072] SLOW spr round 15 (radius: 20)
[15:30:48 -456901.029235] SLOW spr round 16 (radius: 5)
[15:34:24 -456889.636089] SLOW spr round 17 (radius: 5)
[15:37:32 -456889.635907] SLOW spr round 18 (radius: 10)
[15:41:02 -456889.635843] SLOW spr round 19 (radius: 15)
[15:47:13 -456889.635809] SLOW spr round 20 (radius: 20)
[15:56:47 -456889.635789] SLOW spr round 21 (radius: 25)
[16:08:09 -456889.635776] Model parameter optimization (eps = 0.100000)

[16:08:21] ML tree search #8, logLikelihood: -456889.051387

[16:08:21 -1554946.195563] Initial branch length optimization
[16:08:31 -1245702.469568] Model parameter optimization (eps = 10.000000)
[16:10:06 -1242253.021417] AUTODETECT spr round 1 (radius: 5)
[16:12:54 -965634.227051] AUTODETECT spr round 2 (radius: 10)
[16:15:50 -774219.124630] AUTODETECT spr round 3 (radius: 15)
[16:19:31 -622489.051242] AUTODETECT spr round 4 (radius: 20)
[16:23:15 -541904.547282] AUTODETECT spr round 5 (radius: 25)
[16:28:02 -528329.695759] SPR radius for FAST iterations: 25 (autodetect)
[16:28:02 -528329.695759] Model parameter optimization (eps = 3.000000)
[16:28:47 -526515.583121] FAST spr round 1 (radius: 25)
[16:33:32 -459894.081746] FAST spr round 2 (radius: 25)
[16:37:07 -457161.672306] FAST spr round 3 (radius: 25)
[16:40:07 -457017.413737] FAST spr round 4 (radius: 25)
[16:42:33 -457004.087563] FAST spr round 5 (radius: 25)
[16:44:50 -457000.472674] FAST spr round 6 (radius: 25)
[16:46:57 -456999.742627] FAST spr round 7 (radius: 25)
[16:49:01 -456999.011412] FAST spr round 8 (radius: 25)
[16:51:04 -456999.005093] Model parameter optimization (eps = 1.000000)
[16:51:30 -456985.126219] SLOW spr round 1 (radius: 5)
[16:54:19 -456936.151602] SLOW spr round 2 (radius: 5)
[16:57:04 -456925.871693] SLOW spr round 3 (radius: 5)
[16:59:45 -456923.047690] SLOW spr round 4 (radius: 5)
[17:02:24 -456923.045531] SLOW spr round 5 (radius: 10)
[17:05:34 -456915.482290] SLOW spr round 6 (radius: 5)
[17:08:56 -456909.333800] SLOW spr round 7 (radius: 5)
[17:11:57 -456904.908099] SLOW spr round 8 (radius: 5)
[17:14:46 -456904.906885] SLOW spr round 9 (radius: 10)
[17:18:00 -456904.195737] SLOW spr round 10 (radius: 5)
[17:21:18 -456904.195425] SLOW spr round 11 (radius: 10)
[17:24:59 -456904.123069] SLOW spr round 12 (radius: 15)
[17:30:57 -456904.102716] SLOW spr round 13 (radius: 20)
[17:40:23 -456904.090228] SLOW spr round 14 (radius: 25)
[17:51:31 -456904.082593] Model parameter optimization (eps = 0.100000)

[17:51:51] ML tree search #9, logLikelihood: -456902.982097

[17:51:51 -1575083.826789] Initial branch length optimization
[17:52:00 -1250968.229622] Model parameter optimization (eps = 10.000000)
[17:53:31 -1247720.456509] AUTODETECT spr round 1 (radius: 5)
[17:56:17 -940217.929481] AUTODETECT spr round 2 (radius: 10)
[17:59:17 -731914.228758] AUTODETECT spr round 3 (radius: 15)
[18:02:44 -608623.528754] AUTODETECT spr round 4 (radius: 20)
[18:06:21 -554994.966561] AUTODETECT spr round 5 (radius: 25)
[18:10:50 -529834.550597] SPR radius for FAST iterations: 25 (autodetect)
[18:10:50 -529834.550597] Model parameter optimization (eps = 3.000000)
[18:11:39 -527787.341676] FAST spr round 1 (radius: 25)
[18:16:19 -459437.013036] FAST spr round 2 (radius: 25)
[18:19:59 -457217.058012] FAST spr round 3 (radius: 25)
[18:22:56 -457087.597199] FAST spr round 4 (radius: 25)
[18:25:28 -457017.703470] FAST spr round 5 (radius: 25)
[18:27:40 -457013.348915] FAST spr round 6 (radius: 25)
[18:29:48 -457013.347291] Model parameter optimization (eps = 1.000000)
[18:30:10 -456993.996734] SLOW spr round 1 (radius: 5)
[18:32:54 -456929.556550] SLOW spr round 2 (radius: 5)
[18:35:35 -456923.164482] SLOW spr round 3 (radius: 5)
[18:38:13 -456923.164300] SLOW spr round 4 (radius: 10)
[18:41:20 -456921.451310] SLOW spr round 5 (radius: 5)
[18:44:43 -456914.747111] SLOW spr round 6 (radius: 5)
[18:47:42 -456914.630147] SLOW spr round 7 (radius: 5)
[18:50:31 -456914.629669] SLOW spr round 8 (radius: 10)
[18:53:44 -456914.629276] SLOW spr round 9 (radius: 15)
[19:00:09 -456909.667130] SLOW spr round 10 (radius: 5)
[19:03:35 -456909.530611] SLOW spr round 11 (radius: 5)
[19:06:39 -456909.527403] SLOW spr round 12 (radius: 10)
[19:10:04 -456909.526640] SLOW spr round 13 (radius: 15)
[19:16:18 -456909.526378] SLOW spr round 14 (radius: 20)
[19:25:59 -456909.299036] SLOW spr round 15 (radius: 5)
[19:29:31 -456909.298146] SLOW spr round 16 (radius: 10)
[19:33:32 -456909.298001] SLOW spr round 17 (radius: 15)
[19:39:34 -456909.297931] SLOW spr round 18 (radius: 20)
[19:49:15 -456909.297883] SLOW spr round 19 (radius: 25)
[20:00:42 -456909.297847] Model parameter optimization (eps = 0.100000)

[20:00:49] ML tree search #10, logLikelihood: -456909.256075

[20:00:49 -1553163.153478] Initial branch length optimization
[20:00:58 -1248217.490810] Model parameter optimization (eps = 10.000000)
[20:02:52 -1244382.219471] AUTODETECT spr round 1 (radius: 5)
[20:05:41 -942585.075291] AUTODETECT spr round 2 (radius: 10)
[20:08:41 -745012.715933] AUTODETECT spr round 3 (radius: 15)
[20:12:08 -578836.705899] AUTODETECT spr round 4 (radius: 20)
[20:15:54 -535290.048173] AUTODETECT spr round 5 (radius: 25)
[20:20:33 -522263.212237] SPR radius for FAST iterations: 25 (autodetect)
[20:20:33 -522263.212237] Model parameter optimization (eps = 3.000000)
[20:21:23 -520534.276548] FAST spr round 1 (radius: 25)
[20:26:15 -460241.643901] FAST spr round 2 (radius: 25)
[20:30:02 -457236.973444] FAST spr round 3 (radius: 25)
[20:33:02 -457069.942442] FAST spr round 4 (radius: 25)
[20:35:28 -457052.414816] FAST spr round 5 (radius: 25)
[20:37:39 -457051.955053] FAST spr round 6 (radius: 25)
[20:39:45 -457047.398350] FAST spr round 7 (radius: 25)
[20:41:49 -457047.398199] Model parameter optimization (eps = 1.000000)
[20:42:09 -457039.710715] SLOW spr round 1 (radius: 5)
[20:45:00 -456948.069411] SLOW spr round 2 (radius: 5)
[20:47:44 -456936.722872] SLOW spr round 3 (radius: 5)
[20:50:22 -456936.602361] SLOW spr round 4 (radius: 5)
[20:53:00 -456936.562380] SLOW spr round 5 (radius: 10)
[20:56:07 -456935.616114] SLOW spr round 6 (radius: 5)
[20:59:27 -456932.225743] SLOW spr round 7 (radius: 5)
[21:02:26 -456932.224185] SLOW spr round 8 (radius: 10)
[21:05:49 -456931.509502] SLOW spr round 9 (radius: 5)
[21:09:07 -456931.219120] SLOW spr round 10 (radius: 5)
[21:12:06 -456931.218268] SLOW spr round 11 (radius: 10)
[21:15:25 -456931.218259] SLOW spr round 12 (radius: 15)
[21:21:49 -456931.218256] SLOW spr round 13 (radius: 20)
[21:31:28 -456928.377939] SLOW spr round 14 (radius: 5)
[21:35:00 -456928.377787] SLOW spr round 15 (radius: 10)
[21:39:05 -456928.377784] SLOW spr round 16 (radius: 15)
[21:45:12 -456928.377783] SLOW spr round 17 (radius: 20)
[21:54:55 -456928.377783] SLOW spr round 18 (radius: 25)
[22:06:11 -456928.377783] Model parameter optimization (eps = 0.100000)

[22:06:20] ML tree search #11, logLikelihood: -456928.136748

[22:06:20 -1573445.324071] Initial branch length optimization
[22:06:29 -1252794.600759] Model parameter optimization (eps = 10.000000)
[22:07:56 -1249444.422975] AUTODETECT spr round 1 (radius: 5)
[22:10:47 -946438.604133] AUTODETECT spr round 2 (radius: 10)
[22:13:46 -728014.787979] AUTODETECT spr round 3 (radius: 15)
[22:17:01 -595023.340052] AUTODETECT spr round 4 (radius: 20)
[22:20:30 -560291.521080] AUTODETECT spr round 5 (radius: 25)
[22:24:37 -528469.157171] SPR radius for FAST iterations: 25 (autodetect)
[22:24:37 -528469.157171] Model parameter optimization (eps = 3.000000)
[22:25:30 -526528.288941] FAST spr round 1 (radius: 25)
[22:30:22 -460343.963678] FAST spr round 2 (radius: 25)
[22:34:03 -457160.793332] FAST spr round 3 (radius: 25)
[22:37:04 -457046.812331] FAST spr round 4 (radius: 25)
[22:39:32 -457027.750047] FAST spr round 5 (radius: 25)
[22:41:45 -457025.368408] FAST spr round 6 (radius: 25)
[22:43:51 -457025.368327] Model parameter optimization (eps = 1.000000)
[22:44:11 -456997.178964] SLOW spr round 1 (radius: 5)
[22:46:56 -456912.469092] SLOW spr round 2 (radius: 5)
[22:49:41 -456904.156117] SLOW spr round 3 (radius: 5)
[22:52:19 -456904.067097] SLOW spr round 4 (radius: 10)
[22:55:24 -456902.989209] SLOW spr round 5 (radius: 5)
[22:58:45 -456901.946652] SLOW spr round 6 (radius: 5)
[23:01:44 -456901.946149] SLOW spr round 7 (radius: 10)
[23:05:05 -456901.945835] SLOW spr round 8 (radius: 15)
[23:11:22 -456901.737788] SLOW spr round 9 (radius: 5)
[23:14:48 -456900.681401] SLOW spr round 10 (radius: 5)
[23:17:50 -456900.496689] SLOW spr round 11 (radius: 5)
[23:20:41 -456900.494771] SLOW spr round 12 (radius: 10)
[23:23:55 -456900.493644] SLOW spr round 13 (radius: 15)
[23:30:22 -456900.492977] SLOW spr round 14 (radius: 20)
[23:39:55 -456900.492581] SLOW spr round 15 (radius: 25)
[23:51:04 -456900.492345] Model parameter optimization (eps = 0.100000)

[23:51:18] ML tree search #12, logLikelihood: -456899.815317

[23:51:18 -1560046.001564] Initial branch length optimization
[23:51:28 -1245403.415142] Model parameter optimization (eps = 10.000000)
[23:53:08 -1241901.291145] AUTODETECT spr round 1 (radius: 5)
[23:55:56 -949673.396638] AUTODETECT spr round 2 (radius: 10)
[23:59:00 -717635.269201] AUTODETECT spr round 3 (radius: 15)
[24:02:20 -586215.038849] AUTODETECT spr round 4 (radius: 20)
[24:06:17 -536310.737973] AUTODETECT spr round 5 (radius: 25)
[24:10:26 -531696.785613] SPR radius for FAST iterations: 25 (autodetect)
[24:10:26 -531696.785613] Model parameter optimization (eps = 3.000000)
[24:11:18 -529939.376741] FAST spr round 1 (radius: 25)
[24:15:50 -459383.057849] FAST spr round 2 (radius: 25)
[24:19:14 -457141.990944] FAST spr round 3 (radius: 25)
[24:22:03 -457068.731927] FAST spr round 4 (radius: 25)
[24:24:29 -457059.687286] FAST spr round 5 (radius: 25)
[24:26:41 -457059.673531] Model parameter optimization (eps = 1.000000)
[24:27:05 -457043.728964] SLOW spr round 1 (radius: 5)
[24:29:52 -456930.979362] SLOW spr round 2 (radius: 5)
[24:32:33 -456930.312508] SLOW spr round 3 (radius: 5)
[24:35:11 -456930.311424] SLOW spr round 4 (radius: 10)
[24:38:18 -456927.803912] SLOW spr round 5 (radius: 5)
[24:41:38 -456924.866416] SLOW spr round 6 (radius: 5)
[24:44:36 -456924.865509] SLOW spr round 7 (radius: 10)
[24:47:56 -456924.798998] SLOW spr round 8 (radius: 15)
[24:54:08 -456924.754096] SLOW spr round 9 (radius: 20)
[25:03:36 -456923.734585] SLOW spr round 10 (radius: 5)
[25:07:07 -456923.733872] SLOW spr round 11 (radius: 10)
[25:11:07 -456923.679698] SLOW spr round 12 (radius: 15)
[25:17:04 -456923.660521] SLOW spr round 13 (radius: 20)
[25:26:32 -456923.654315] SLOW spr round 14 (radius: 25)
[25:37:46 -456919.422219] SLOW spr round 15 (radius: 5)
[25:41:20 -456919.416622] SLOW spr round 16 (radius: 10)
[25:45:28 -456919.414939] SLOW spr round 17 (radius: 15)
[25:51:28 -456919.414274] SLOW spr round 18 (radius: 20)
[26:00:59 -456919.413991] SLOW spr round 19 (radius: 25)
[26:12:13 -456919.413866] Model parameter optimization (eps = 0.100000)

[26:12:29] ML tree search #13, logLikelihood: -456918.435876

[26:12:29 -1553933.033515] Initial branch length optimization
[26:12:38 -1243773.816366] Model parameter optimization (eps = 10.000000)
[26:14:21 -1240313.005625] AUTODETECT spr round 1 (radius: 5)
[26:17:08 -947893.346625] AUTODETECT spr round 2 (radius: 10)
[26:20:08 -717673.949614] AUTODETECT spr round 3 (radius: 15)
[26:23:22 -602620.283225] AUTODETECT spr round 4 (radius: 20)
[26:27:18 -554411.680295] AUTODETECT spr round 5 (radius: 25)
[26:32:37 -536946.520649] SPR radius for FAST iterations: 25 (autodetect)
[26:32:37 -536946.520649] Model parameter optimization (eps = 3.000000)
[26:33:32 -535024.492471] FAST spr round 1 (radius: 25)
[26:38:28 -459436.915185] FAST spr round 2 (radius: 25)
[26:41:55 -457256.339140] FAST spr round 3 (radius: 25)
[26:44:46 -457068.429270] FAST spr round 4 (radius: 25)
[26:47:16 -457049.285944] FAST spr round 5 (radius: 25)
[26:49:29 -457046.092743] FAST spr round 6 (radius: 25)
[26:51:38 -457043.111116] FAST spr round 7 (radius: 25)
[26:53:42 -457042.838380] FAST spr round 8 (radius: 25)
[26:55:45 -457042.837311] Model parameter optimization (eps = 1.000000)
[26:56:11 -457017.417967] SLOW spr round 1 (radius: 5)
[26:58:53 -456926.367298] SLOW spr round 2 (radius: 5)
[27:01:31 -456916.044167] SLOW spr round 3 (radius: 5)
[27:04:13 -456905.740801] SLOW spr round 4 (radius: 5)
[27:06:51 -456905.740228] SLOW spr round 5 (radius: 10)
[27:10:00 -456901.429556] SLOW spr round 6 (radius: 5)
[27:13:20 -456901.426104] SLOW spr round 7 (radius: 10)
[27:17:04 -456901.425450] SLOW spr round 8 (radius: 15)
[27:23:04 -456901.425264] SLOW spr round 9 (radius: 20)
[27:32:26 -456901.425204] SLOW spr round 10 (radius: 25)
[27:43:20 -456901.425183] Model parameter optimization (eps = 0.100000)

[27:43:34] ML tree search #14, logLikelihood: -456900.874798

[27:43:34 -1563016.773194] Initial branch length optimization
[27:43:43 -1243729.641435] Model parameter optimization (eps = 10.000000)
[27:45:20 -1240225.697091] AUTODETECT spr round 1 (radius: 5)
[27:48:08 -948989.354594] AUTODETECT spr round 2 (radius: 10)
[27:51:05 -757690.104716] AUTODETECT spr round 3 (radius: 15)
[27:54:34 -593388.073253] AUTODETECT spr round 4 (radius: 20)
[27:58:33 -537658.185802] AUTODETECT spr round 5 (radius: 25)
[28:03:21 -529894.413300] SPR radius for FAST iterations: 25 (autodetect)
[28:03:21 -529894.413300] Model parameter optimization (eps = 3.000000)
[28:04:08 -528031.613544] FAST spr round 1 (radius: 25)
[28:08:30 -459597.899901] FAST spr round 2 (radius: 25)
[28:11:48 -457196.104569] FAST spr round 3 (radius: 25)
[28:14:34 -457096.222263] FAST spr round 4 (radius: 25)
[28:17:01 -457084.619637] FAST spr round 5 (radius: 25)
[28:19:14 -457075.179408] FAST spr round 6 (radius: 25)
[28:21:21 -457075.179066] Model parameter optimization (eps = 1.000000)
[28:21:43 -457054.077469] SLOW spr round 1 (radius: 5)
[28:24:27 -456948.162742] SLOW spr round 2 (radius: 5)
[28:27:15 -456927.111419] SLOW spr round 3 (radius: 5)
[28:29:55 -456925.077319] SLOW spr round 4 (radius: 5)
[28:32:40 -456919.596315] SLOW spr round 5 (radius: 5)
[28:35:19 -456919.595340] SLOW spr round 6 (radius: 10)
[28:38:27 -456916.517792] SLOW spr round 7 (radius: 5)
[28:41:46 -456916.009800] SLOW spr round 8 (radius: 5)
[28:44:43 -456916.008859] SLOW spr round 9 (radius: 10)
[28:48:05 -456914.737257] SLOW spr round 10 (radius: 5)
[28:51:22 -456908.093368] SLOW spr round 11 (radius: 5)
[28:54:18 -456908.092528] SLOW spr round 12 (radius: 10)
[28:57:38 -456906.901286] SLOW spr round 13 (radius: 5)
[29:01:03 -456900.662746] SLOW spr round 14 (radius: 5)
[29:04:01 -456896.295011] SLOW spr round 15 (radius: 5)
[29:06:48 -456896.293225] SLOW spr round 16 (radius: 10)
[29:10:02 -456895.691999] SLOW spr round 17 (radius: 5)
[29:13:20 -456895.686202] SLOW spr round 18 (radius: 10)
[29:17:03 -456895.686201] SLOW spr round 19 (radius: 15)
[29:23:02 -456894.586774] SLOW spr round 20 (radius: 5)
[29:26:29 -456894.475071] SLOW spr round 21 (radius: 5)
[29:29:34 -456894.285165] SLOW spr round 22 (radius: 5)
[29:32:24 -456894.283262] SLOW spr round 23 (radius: 10)
[29:35:40 -456894.282964] SLOW spr round 24 (radius: 15)
[29:42:07 -456894.282865] SLOW spr round 25 (radius: 20)
[29:51:55 -456891.558705] SLOW spr round 26 (radius: 5)
[29:55:28 -456891.557946] SLOW spr round 27 (radius: 10)
[29:59:32 -456891.557841] SLOW spr round 28 (radius: 15)
[30:05:39 -456891.557800] SLOW spr round 29 (radius: 20)
[30:15:34 -456891.557778] SLOW spr round 30 (radius: 25)
[30:27:02 -456891.557766] Model parameter optimization (eps = 0.100000)

[30:27:22] ML tree search #15, logLikelihood: -456890.108417

[30:27:22 -1556677.236852] Initial branch length optimization
[30:27:32 -1247322.104031] Model parameter optimization (eps = 10.000000)
[30:29:12 -1244021.282600] AUTODETECT spr round 1 (radius: 5)
[30:32:01 -944618.769943] AUTODETECT spr round 2 (radius: 10)
[30:34:59 -722521.689824] AUTODETECT spr round 3 (radius: 15)
[30:38:17 -591035.302527] AUTODETECT spr round 4 (radius: 20)
[30:41:48 -533789.942221] AUTODETECT spr round 5 (radius: 25)
[30:45:45 -521396.846081] SPR radius for FAST iterations: 25 (autodetect)
[30:45:45 -521396.846081] Model parameter optimization (eps = 3.000000)
[30:46:32 -519380.253668] FAST spr round 1 (radius: 25)
[30:51:22 -458447.840379] FAST spr round 2 (radius: 25)
[30:54:58 -457149.756982] FAST spr round 3 (radius: 25)
[30:57:52 -457046.767123] FAST spr round 4 (radius: 25)
[31:00:17 -457031.426972] FAST spr round 5 (radius: 25)
[31:02:29 -457030.393909] FAST spr round 6 (radius: 25)
[31:04:36 -457030.392407] Model parameter optimization (eps = 1.000000)
[31:04:59 -457018.747669] SLOW spr round 1 (radius: 5)
[31:07:51 -456929.506136] SLOW spr round 2 (radius: 5)
[31:10:41 -456910.227610] SLOW spr round 3 (radius: 5)
[31:13:25 -456903.254126] SLOW spr round 4 (radius: 5)
[31:16:03 -456903.251995] SLOW spr round 5 (radius: 10)
[31:19:15 -456897.508078] SLOW spr round 6 (radius: 5)
[31:22:38 -456893.708286] SLOW spr round 7 (radius: 5)
[31:25:36 -456893.704443] SLOW spr round 8 (radius: 10)
[31:28:59 -456892.551132] SLOW spr round 9 (radius: 5)
[31:32:16 -456891.519675] SLOW spr round 10 (radius: 5)
[31:35:13 -456890.105387] SLOW spr round 11 (radius: 5)
[31:38:02 -456888.762214] SLOW spr round 12 (radius: 5)
[31:40:44 -456888.757385] SLOW spr round 13 (radius: 10)
[31:43:55 -456888.756824] SLOW spr round 14 (radius: 15)
[31:50:34 -456888.756742] SLOW spr round 15 (radius: 20)
[32:00:25 -456888.212439] SLOW spr round 16 (radius: 5)
[32:03:57 -456888.209956] SLOW spr round 17 (radius: 10)
[32:08:03 -456888.209847] SLOW spr round 18 (radius: 15)
[32:14:14 -456888.209830] SLOW spr round 19 (radius: 20)
[32:24:09 -456888.209825] SLOW spr round 20 (radius: 25)
[32:35:46 -456888.209823] Model parameter optimization (eps = 0.100000)

[32:36:01] ML tree search #16, logLikelihood: -456887.837526

[32:36:01 -1556435.740453] Initial branch length optimization
[32:36:12 -1249484.628587] Model parameter optimization (eps = 10.000000)
[32:38:06 -1246033.012705] AUTODETECT spr round 1 (radius: 5)
[32:40:55 -940200.475194] AUTODETECT spr round 2 (radius: 10)
[32:43:57 -742465.703863] AUTODETECT spr round 3 (radius: 15)
[32:47:37 -585564.500805] AUTODETECT spr round 4 (radius: 20)
[32:51:27 -542417.720195] AUTODETECT spr round 5 (radius: 25)
[32:56:22 -528991.482384] SPR radius for FAST iterations: 25 (autodetect)
[32:56:22 -528991.482384] Model parameter optimization (eps = 3.000000)
[32:56:36 -528841.660566] FAST spr round 1 (radius: 25)
[33:01:30 -460710.198080] FAST spr round 2 (radius: 25)
[33:05:17 -458909.480621] FAST spr round 3 (radius: 25)
[33:08:21 -458646.660808] FAST spr round 4 (radius: 25)
[33:10:47 -458634.013363] FAST spr round 5 (radius: 25)
[33:12:59 -458629.448112] FAST spr round 6 (radius: 25)
[33:15:06 -458629.445632] Model parameter optimization (eps = 1.000000)
[33:15:54 -457088.288237] SLOW spr round 1 (radius: 5)
[33:18:38 -456965.695593] SLOW spr round 2 (radius: 5)
[33:21:22 -456932.007311] SLOW spr round 3 (radius: 5)
[33:24:06 -456921.815326] SLOW spr round 4 (radius: 5)
[33:26:52 -456915.322719] SLOW spr round 5 (radius: 5)
[33:29:33 -456914.091007] SLOW spr round 6 (radius: 5)
[33:32:12 -456914.087785] SLOW spr round 7 (radius: 10)
[33:35:23 -456910.084607] SLOW spr round 8 (radius: 5)
[33:38:43 -456910.075403] SLOW spr round 9 (radius: 10)
[33:42:30 -456910.075124] SLOW spr round 10 (radius: 15)
[33:48:43 -456910.075043] SLOW spr round 11 (radius: 20)
[33:58:25 -456910.075002] SLOW spr round 12 (radius: 25)
[34:09:37 -456910.074979] Model parameter optimization (eps = 0.100000)

[34:09:46] ML tree search #17, logLikelihood: -456909.960720

[34:09:46 -1566781.371137] Initial branch length optimization
[34:09:56 -1248319.423019] Model parameter optimization (eps = 10.000000)
[34:11:54 -1244975.563384] AUTODETECT spr round 1 (radius: 5)
[34:14:42 -953746.398747] AUTODETECT spr round 2 (radius: 10)
[34:17:40 -777826.050201] AUTODETECT spr round 3 (radius: 15)
[34:21:03 -657139.315896] AUTODETECT spr round 4 (radius: 20)
[34:24:53 -560967.857719] AUTODETECT spr round 5 (radius: 25)
[34:29:37 -545858.231247] SPR radius for FAST iterations: 25 (autodetect)
[34:29:37 -545858.231247] Model parameter optimization (eps = 3.000000)
[34:30:34 -543980.045211] FAST spr round 1 (radius: 25)
[34:34:54 -461592.532315] FAST spr round 2 (radius: 25)
[34:38:16 -457219.359551] FAST spr round 3 (radius: 25)
[34:41:01 -457097.253708] FAST spr round 4 (radius: 25)
[34:43:30 -457068.217723] FAST spr round 5 (radius: 25)
[34:45:42 -457065.830826] FAST spr round 6 (radius: 25)
[34:47:48 -457065.490716] FAST spr round 7 (radius: 25)
[34:49:51 -457065.490695] Model parameter optimization (eps = 1.000000)
[34:50:10 -457059.030596] SLOW spr round 1 (radius: 5)
[34:52:50 -456980.045941] SLOW spr round 2 (radius: 5)
[34:55:33 -456966.820280] SLOW spr round 3 (radius: 5)
[34:58:16 -456961.021881] SLOW spr round 4 (radius: 5)
[35:01:00 -456957.000917] SLOW spr round 5 (radius: 5)
[35:03:40 -456956.999501] SLOW spr round 6 (radius: 10)
[35:06:51 -456953.446606] SLOW spr round 7 (radius: 5)
[35:10:12 -456951.515900] SLOW spr round 8 (radius: 5)
[35:13:14 -456947.119038] SLOW spr round 9 (radius: 5)
[35:16:01 -456947.117390] SLOW spr round 10 (radius: 10)
[35:19:16 -456947.117224] SLOW spr round 11 (radius: 15)
[35:25:38 -456945.087030] SLOW spr round 12 (radius: 5)
[35:29:05 -456945.023146] SLOW spr round 13 (radius: 10)
[35:33:02 -456945.021231] SLOW spr round 14 (radius: 15)
[35:39:03 -456945.019628] SLOW spr round 15 (radius: 20)

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

System: Intel(R) Xeon(R) Gold 6140 CPU @ 2.30GHz, 36 cores, 251 GB RAM

RAxML-NG was called at 24-Jun-2021 13:57:32 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q92793/2_msa/Q92793_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q92793/3_mltree/Q92793 --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

WARNING: The model you specified on the command line (LG4X) will be ignored 
         since the binary MSA file already contains a model definition.
         If you want to change the model, please re-run RAxML-NG 
         with the original PHYLIP/FASTA alignment and --redo option.

[00:00:00] Loading binary alignment from file: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q92793/3_mltree/Q92793.raxml.rba
[00:00:00] Alignment comprises 1001 taxa, 1 partitions and 1301 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 1301 / 1301
Gaps: 36.60 %
Invariant sites: 0.00 %


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

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

[00:00:00] NOTE: Resuming execution from checkpoint (logLH: -456945.02, ML trees: 17, bootstraps: 0)
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 163 / 13040
[00:00:00] Data distribution: max. searches per worker: 3

Starting ML tree search with 20 distinct starting trees

[00:00:00 -456945.019628] SPR radius for FAST iterations: 25 (autodetect)
[00:00:00 -456945.019628] SLOW spr round 15 (radius: 20)
[00:09:27 -456944.100126] SLOW spr round 16 (radius: 5)
[00:12:59 -456944.098229] SLOW spr round 17 (radius: 10)
[00:17:05 -456944.097337] SLOW spr round 18 (radius: 15)
[00:23:06 -456944.096678] SLOW spr round 19 (radius: 20)
[00:32:25 -456944.096137] SLOW spr round 20 (radius: 25)
[00:43:24 -456940.473487] SLOW spr round 21 (radius: 5)
[00:46:57 -456940.472054] SLOW spr round 22 (radius: 10)
[00:51:09 -456940.471740] SLOW spr round 23 (radius: 15)
[00:57:06 -456940.471512] SLOW spr round 24 (radius: 20)
[01:06:19 -456940.471329] SLOW spr round 25 (radius: 25)
[01:17:10 -456931.849296] SLOW spr round 26 (radius: 5)
[01:20:45 -456919.496804] SLOW spr round 27 (radius: 5)
[01:23:58 -456912.256766] SLOW spr round 28 (radius: 5)
[01:26:52 -456910.652165] SLOW spr round 29 (radius: 5)
[01:29:35 -456910.453274] SLOW spr round 30 (radius: 5)
[01:32:14 -456910.453116] SLOW spr round 31 (radius: 10)
[01:35:21 -456910.312926] SLOW spr round 32 (radius: 5)
[01:38:38 -456910.311297] SLOW spr round 33 (radius: 10)
[01:42:18 -456910.311142] SLOW spr round 34 (radius: 15)
[01:48:08 -456910.311113] SLOW spr round 35 (radius: 20)
[01:57:10 -456910.311102] SLOW spr round 36 (radius: 25)
[02:08:00 -456910.311096] Model parameter optimization (eps = 0.100000)

[02:08:17] ML tree search #18, logLikelihood: -456910.136472

[02:08:17 -1556856.241859] Initial branch length optimization
[02:08:26 -1247722.464083] Model parameter optimization (eps = 10.000000)
[02:09:57 -1244077.025882] AUTODETECT spr round 1 (radius: 5)
[02:12:43 -952188.659780] AUTODETECT spr round 2 (radius: 10)
[02:15:42 -727417.285880] AUTODETECT spr round 3 (radius: 15)
[02:19:06 -583136.976383] AUTODETECT spr round 4 (radius: 20)
[02:22:55 -523805.604699] AUTODETECT spr round 5 (radius: 25)
[02:27:26 -516740.523262] SPR radius for FAST iterations: 25 (autodetect)
[02:27:26 -516740.523262] Model parameter optimization (eps = 3.000000)
[02:28:13 -515003.106785] FAST spr round 1 (radius: 25)
[02:32:57 -458798.109875] FAST spr round 2 (radius: 25)
[02:36:26 -457227.299011] FAST spr round 3 (radius: 25)
[02:39:19 -457115.706992] FAST spr round 4 (radius: 25)
[02:41:43 -457109.568470] FAST spr round 5 (radius: 25)
[02:43:54 -457109.544155] Model parameter optimization (eps = 1.000000)
[02:44:23 -457089.609126] SLOW spr round 1 (radius: 5)
[02:47:06 -456980.617226] SLOW spr round 2 (radius: 5)
[02:49:52 -456962.993697] SLOW spr round 3 (radius: 5)
[02:52:34 -456958.777384] SLOW spr round 4 (radius: 5)
[02:55:13 -456958.766069] SLOW spr round 5 (radius: 10)
[02:58:25 -456946.330584] SLOW spr round 6 (radius: 5)
[03:01:52 -456933.757986] SLOW spr round 7 (radius: 5)
[03:04:52 -456932.784310] SLOW spr round 8 (radius: 5)
[03:07:41 -456932.783853] SLOW spr round 9 (radius: 10)
[03:10:55 -456930.945172] SLOW spr round 10 (radius: 5)
[03:14:16 -456924.102586] SLOW spr round 11 (radius: 5)
[03:17:14 -456924.100511] SLOW spr round 12 (radius: 10)
[03:20:38 -456923.975728] SLOW spr round 13 (radius: 5)
[03:23:56 -456923.931981] SLOW spr round 14 (radius: 10)
[03:27:37 -456923.931299] SLOW spr round 15 (radius: 15)
[03:33:44 -456923.931104] SLOW spr round 16 (radius: 20)
[03:43:24 -456923.931047] SLOW spr round 17 (radius: 25)
[03:54:46 -456922.181852] SLOW spr round 18 (radius: 5)
[03:58:23 -456922.178978] SLOW spr round 19 (radius: 10)
[04:02:37 -456922.178007] SLOW spr round 20 (radius: 15)
[04:08:41 -456922.177549] SLOW spr round 21 (radius: 20)
[04:18:26 -456922.177313] SLOW spr round 22 (radius: 25)
[04:29:50 -456922.177184] Model parameter optimization (eps = 0.100000)

[04:30:07] ML tree search #19, logLikelihood: -456920.749407

[04:30:08 -1556647.426145] Initial branch length optimization
[04:30:17 -1241880.574510] Model parameter optimization (eps = 10.000000)
[04:32:17 -1238343.812126] AUTODETECT spr round 1 (radius: 5)
[04:35:05 -937508.171259] AUTODETECT spr round 2 (radius: 10)
[04:38:05 -724463.174072] AUTODETECT spr round 3 (radius: 15)
[04:41:40 -589450.195220] AUTODETECT spr round 4 (radius: 20)
[04:45:29 -542478.292008] AUTODETECT spr round 5 (radius: 25)
[04:49:50 -533458.177939] SPR radius for FAST iterations: 25 (autodetect)
[04:49:50 -533458.177939] Model parameter optimization (eps = 3.000000)
[04:50:43 -531716.323041] FAST spr round 1 (radius: 25)
[04:55:26 -459722.199465] FAST spr round 2 (radius: 25)
[04:59:09 -457285.218186] FAST spr round 3 (radius: 25)
[05:02:07 -457102.914918] FAST spr round 4 (radius: 25)
[05:04:49 -457024.430729] FAST spr round 5 (radius: 25)
[05:07:10 -456997.207417] FAST spr round 6 (radius: 25)
[05:09:20 -456993.113177] FAST spr round 7 (radius: 25)
[05:11:27 -456990.593872] FAST spr round 8 (radius: 25)
[05:13:32 -456990.591902] Model parameter optimization (eps = 1.000000)
[05:13:54 -456970.470848] SLOW spr round 1 (radius: 5)
[05:16:34 -456926.791902] SLOW spr round 2 (radius: 5)
[05:19:20 -456914.665006] SLOW spr round 3 (radius: 5)
[05:22:01 -456911.403668] SLOW spr round 4 (radius: 5)
[05:24:40 -456911.402598] SLOW spr round 5 (radius: 10)
[05:27:54 -456908.580415] SLOW spr round 6 (radius: 5)
[05:31:17 -456903.986364] SLOW spr round 7 (radius: 5)
[05:34:17 -456903.982783] SLOW spr round 8 (radius: 10)
[05:37:40 -456903.417883] SLOW spr round 9 (radius: 5)
[05:40:58 -456902.076750] SLOW spr round 10 (radius: 5)
[05:43:57 -456902.073954] SLOW spr round 11 (radius: 10)
[05:47:19 -456901.264338] SLOW spr round 12 (radius: 5)
[05:50:38 -456900.990577] SLOW spr round 13 (radius: 5)
[05:53:37 -456900.989053] SLOW spr round 14 (radius: 10)
[05:56:58 -456900.988937] SLOW spr round 15 (radius: 15)
[06:03:28 -456900.988926] SLOW spr round 16 (radius: 20)
[06:13:29 -456900.988923] SLOW spr round 17 (radius: 25)
[06:25:10 -456900.075916] SLOW spr round 18 (radius: 5)
[06:28:48 -456898.038383] SLOW spr round 19 (radius: 5)
[06:31:59 -456897.604671] SLOW spr round 20 (radius: 5)
[06:34:53 -456897.604472] SLOW spr round 21 (radius: 10)
[06:38:10 -456897.604418] SLOW spr round 22 (radius: 15)
[06:44:37 -456897.604394] SLOW spr round 23 (radius: 20)
[06:54:33 -456897.604383] SLOW spr round 24 (radius: 25)
[07:06:10 -456897.604377] Model parameter optimization (eps = 0.100000)

[07:06:22] ML tree search #20, logLikelihood: -456897.486719


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.150967,0.465964) (0.104256,1.248837) (0.357423,0.662329) (0.387354,1.452739) 
   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: -456887.837526

AIC score: 917785.675052 / AICc score: 8961845.675052 / BIC score: 928153.306451
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=1301).
         This might lead to overfitting and compromise tree inference results!


Best ML tree saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q92793/3_mltree/Q92793.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q92793/3_mltree/Q92793.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q92793/3_mltree/Q92793.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_040621/phylogeny-snakemake/results/Q92793/3_mltree/Q92793.raxml.log

Analysis started: 24-Jun-2021 13:57:32 / finished: 24-Jun-2021 21:03:54

Elapsed time: 25582.499 seconds (this run) / 153925.536 seconds (total with restarts)