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) CPU E5-2690 v4 @ 2.60GHz, 28 cores, 251 GB RAM

RAxML-NG was called at 30-Jun-2021 17:47:21 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q96JX3/2_msa/Q96JX3_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q96JX3/3_mltree/Q96JX3 --seed 2 --threads 7 --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 (7 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q96JX3/2_msa/Q96JX3_trimmed_msa.fasta
[00:00:00] Loaded alignment with 449 taxa and 601 sites

WARNING: Sequences tr_D8RS47_D8RS47_SELML_88036 and tr_D8SJF1_D8SJF1_SELML_88036 are exactly identical!
WARNING: Sequences tr_Q29LS9_Q29LS9_DROPS_46245 and tr_B4G7G4_B4G7G4_DROPE_7234 are exactly identical!
WARNING: Sequences tr_A0A2I3T9R6_A0A2I3T9R6_PANTR_9598 and tr_A0A2R9AMD7_A0A2R9AMD7_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A2XDB1_A2XDB1_ORYSI_39946 and tr_A0A0E0NQQ2_A0A0E0NQQ2_ORYRU_4529 are exactly identical!
WARNING: Sequences tr_G7P4W4_G7P4W4_MACFA_9541 and tr_A0A2K6DNG5_A0A2K6DNG5_MACNE_9545 are exactly identical!
WARNING: Sequences tr_W2PJC6_W2PJC6_PHYPN_761204 and tr_W2MB68_W2MB68_PHYPR_4792 are exactly identical!
WARNING: Sequences tr_A0A0V1CKB3_A0A0V1CKB3_TRIBR_45882 and tr_A0A0V0VEQ5_A0A0V0VEQ5_9BILA_181606 are exactly identical!
WARNING: Sequences tr_A0A0V1CKB3_A0A0V1CKB3_TRIBR_45882 and tr_A0A0V0TT17_A0A0V0TT17_9BILA_144512 are exactly identical!
WARNING: Duplicate sequences found: 8

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/Q96JX3/3_mltree/Q96JX3.raxml.reduced.phy

Alignment comprises 1 partitions and 601 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 601 / 601
Gaps: 25.70 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q96JX3/3_mltree/Q96JX3.raxml.rba

Parallelization scheme autoconfig: 1 worker(s) x 7 thread(s)

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

[00:00:00] Generating 20 random starting tree(s) with 449 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 86 / 6880
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -433373.025150] Initial branch length optimization
[00:00:01 -346985.910571] Model parameter optimization (eps = 10.000000)
[00:00:25 -345942.765282] AUTODETECT spr round 1 (radius: 5)
[00:00:52 -267049.065393] AUTODETECT spr round 2 (radius: 10)
[00:01:23 -212796.625375] AUTODETECT spr round 3 (radius: 15)
[00:01:58 -183044.001668] AUTODETECT spr round 4 (radius: 20)
[00:02:40 -176611.129170] AUTODETECT spr round 5 (radius: 25)
[00:03:35 -174862.623397] SPR radius for FAST iterations: 25 (autodetect)
[00:03:35 -174862.623397] Model parameter optimization (eps = 3.000000)
[00:03:46 -174715.954179] FAST spr round 1 (radius: 25)
[00:04:30 -158463.580810] FAST spr round 2 (radius: 25)
[00:05:04 -157942.616173] FAST spr round 3 (radius: 25)
[00:05:33 -157900.056636] FAST spr round 4 (radius: 25)
[00:05:57 -157895.206679] FAST spr round 5 (radius: 25)
[00:06:20 -157895.206520] Model parameter optimization (eps = 1.000000)
[00:06:25 -157894.146694] SLOW spr round 1 (radius: 5)
[00:07:01 -157861.672558] SLOW spr round 2 (radius: 5)
[00:07:38 -157855.560157] SLOW spr round 3 (radius: 5)
[00:08:13 -157855.559850] SLOW spr round 4 (radius: 10)
[00:08:52 -157855.559795] SLOW spr round 5 (radius: 15)
[00:10:10 -157855.559754] SLOW spr round 6 (radius: 20)
[00:11:44 -157855.559713] SLOW spr round 7 (radius: 25)
[00:13:26 -157855.559673] Model parameter optimization (eps = 0.100000)

[00:13:28] ML tree search #1, logLikelihood: -157855.524515

[00:13:28 -443318.603555] Initial branch length optimization
[00:13:29 -358002.557054] Model parameter optimization (eps = 10.000000)
[00:13:49 -357074.452971] AUTODETECT spr round 1 (radius: 5)
[00:14:15 -275892.273293] AUTODETECT spr round 2 (radius: 10)
[00:14:47 -210796.137795] AUTODETECT spr round 3 (radius: 15)
[00:15:22 -186615.580061] AUTODETECT spr round 4 (radius: 20)
[00:16:08 -176269.940370] AUTODETECT spr round 5 (radius: 25)
[00:17:03 -174974.917400] SPR radius for FAST iterations: 25 (autodetect)
[00:17:03 -174974.917400] Model parameter optimization (eps = 3.000000)
[00:17:13 -174802.443534] FAST spr round 1 (radius: 25)
[00:17:55 -158403.385512] FAST spr round 2 (radius: 25)
[00:18:28 -157923.896085] FAST spr round 3 (radius: 25)
[00:18:54 -157907.051240] FAST spr round 4 (radius: 25)
[00:19:18 -157905.447892] FAST spr round 5 (radius: 25)
[00:19:40 -157905.447842] Model parameter optimization (eps = 1.000000)
[00:19:46 -157898.147207] SLOW spr round 1 (radius: 5)
[00:20:24 -157864.161773] SLOW spr round 2 (radius: 5)
[00:20:59 -157864.161078] SLOW spr round 3 (radius: 10)
[00:21:38 -157857.816706] SLOW spr round 4 (radius: 5)
[00:22:23 -157857.679651] SLOW spr round 5 (radius: 5)
[00:23:02 -157857.679601] SLOW spr round 6 (radius: 10)
[00:23:42 -157857.679550] SLOW spr round 7 (radius: 15)
[00:24:56 -157857.679500] SLOW spr round 8 (radius: 20)
[00:26:26 -157857.679449] SLOW spr round 9 (radius: 25)
[00:28:14 -157857.679398] Model parameter optimization (eps = 0.100000)

[00:28:17] ML tree search #2, logLikelihood: -157857.663126

[00:28:17 -439789.394028] Initial branch length optimization
[00:28:18 -359462.359662] Model parameter optimization (eps = 10.000000)
[00:28:34 -358571.640611] AUTODETECT spr round 1 (radius: 5)
[00:29:01 -263170.863454] AUTODETECT spr round 2 (radius: 10)
[00:29:33 -206200.020476] AUTODETECT spr round 3 (radius: 15)
[00:30:10 -179790.742856] AUTODETECT spr round 4 (radius: 20)
[00:31:02 -174155.930279] AUTODETECT spr round 5 (radius: 25)
[00:31:58 -173227.387696] SPR radius for FAST iterations: 25 (autodetect)
[00:31:58 -173227.387696] Model parameter optimization (eps = 3.000000)
[00:32:11 -173078.339387] FAST spr round 1 (radius: 25)
[00:32:57 -158526.026987] FAST spr round 2 (radius: 25)
[00:33:30 -157910.416085] FAST spr round 3 (radius: 25)
[00:33:59 -157881.035315] FAST spr round 4 (radius: 25)
[00:34:23 -157876.830607] FAST spr round 5 (radius: 25)
[00:34:46 -157876.830426] Model parameter optimization (eps = 1.000000)
[00:34:53 -157871.506928] SLOW spr round 1 (radius: 5)
[00:35:31 -157854.862445] SLOW spr round 2 (radius: 5)
[00:36:08 -157848.811090] SLOW spr round 3 (radius: 5)
[00:36:44 -157844.736969] SLOW spr round 4 (radius: 5)
[00:37:19 -157844.735473] SLOW spr round 5 (radius: 10)
[00:37:58 -157844.159833] SLOW spr round 6 (radius: 5)
[00:38:43 -157844.157604] SLOW spr round 7 (radius: 10)
[00:39:28 -157844.156590] SLOW spr round 8 (radius: 15)
[00:40:38 -157844.156086] SLOW spr round 9 (radius: 20)
[00:42:09 -157844.155819] SLOW spr round 10 (radius: 25)
[00:44:02 -157844.155663] Model parameter optimization (eps = 0.100000)

[00:44:05] ML tree search #3, logLikelihood: -157844.089369

[00:44:05 -440946.595910] Initial branch length optimization
[00:44:06 -356144.361781] Model parameter optimization (eps = 10.000000)
[00:44:21 -355262.306843] AUTODETECT spr round 1 (radius: 5)
[00:44:48 -268575.779452] AUTODETECT spr round 2 (radius: 10)
[00:45:19 -208049.412986] AUTODETECT spr round 3 (radius: 15)
[00:45:57 -182152.843464] AUTODETECT spr round 4 (radius: 20)
[00:46:36 -177956.307619] AUTODETECT spr round 5 (radius: 25)
[00:47:26 -176380.250088] SPR radius for FAST iterations: 25 (autodetect)
[00:47:26 -176380.250088] Model parameter optimization (eps = 3.000000)
[00:47:37 -176166.545574] FAST spr round 1 (radius: 25)
[00:48:20 -158513.079761] FAST spr round 2 (radius: 25)
[00:48:54 -157946.148427] FAST spr round 3 (radius: 25)
[00:49:24 -157898.064218] FAST spr round 4 (radius: 25)
[00:49:48 -157894.096696] FAST spr round 5 (radius: 25)
[00:50:11 -157894.059169] Model parameter optimization (eps = 1.000000)
[00:50:17 -157890.268522] SLOW spr round 1 (radius: 5)
[00:50:56 -157870.848047] SLOW spr round 2 (radius: 5)
[00:51:32 -157869.717626] SLOW spr round 3 (radius: 5)
[00:52:07 -157869.716283] SLOW spr round 4 (radius: 10)
[00:52:46 -157867.123517] SLOW spr round 5 (radius: 5)
[00:53:31 -157865.253669] SLOW spr round 6 (radius: 5)
[00:54:10 -157865.078648] SLOW spr round 7 (radius: 5)
[00:54:46 -157865.078026] SLOW spr round 8 (radius: 10)
[00:55:26 -157865.077971] SLOW spr round 9 (radius: 15)
[00:56:39 -157864.070542] SLOW spr round 10 (radius: 5)
[00:57:28 -157860.932274] SLOW spr round 11 (radius: 5)
[00:58:07 -157860.931104] SLOW spr round 12 (radius: 10)
[00:58:50 -157860.931045] SLOW spr round 13 (radius: 15)
[01:00:02 -157860.931003] SLOW spr round 14 (radius: 20)
[01:01:33 -157860.930963] SLOW spr round 15 (radius: 25)
[01:03:14 -157860.930923] Model parameter optimization (eps = 0.100000)

[01:03:21] ML tree search #4, logLikelihood: -157859.753412

[01:03:21 -441463.865216] Initial branch length optimization
[01:03:23 -356101.792952] Model parameter optimization (eps = 10.000000)
[01:03:38 -355077.423689] AUTODETECT spr round 1 (radius: 5)
[01:04:05 -272658.013494] AUTODETECT spr round 2 (radius: 10)
[01:04:38 -207960.667123] AUTODETECT spr round 3 (radius: 15)
[01:05:13 -179156.538186] AUTODETECT spr round 4 (radius: 20)
[01:06:00 -173929.916329] AUTODETECT spr round 5 (radius: 25)
[01:06:56 -173630.622079] SPR radius for FAST iterations: 25 (autodetect)
[01:06:56 -173630.622079] Model parameter optimization (eps = 3.000000)
[01:07:09 -173461.308119] FAST spr round 1 (radius: 25)
[01:07:52 -158497.004483] FAST spr round 2 (radius: 25)
[01:08:25 -157952.275210] FAST spr round 3 (radius: 25)
[01:08:56 -157902.545650] FAST spr round 4 (radius: 25)
[01:09:21 -157891.399600] FAST spr round 5 (radius: 25)
[01:09:46 -157877.984663] FAST spr round 6 (radius: 25)
[01:10:10 -157874.167796] FAST spr round 7 (radius: 25)
[01:10:32 -157874.167630] Model parameter optimization (eps = 1.000000)
[01:10:36 -157872.902201] SLOW spr round 1 (radius: 5)
[01:11:12 -157847.466400] SLOW spr round 2 (radius: 5)
[01:11:48 -157847.236140] SLOW spr round 3 (radius: 5)
[01:12:22 -157847.235976] SLOW spr round 4 (radius: 10)
[01:13:01 -157844.356505] SLOW spr round 5 (radius: 5)
[01:13:45 -157844.356383] SLOW spr round 6 (radius: 10)
[01:14:31 -157844.356376] SLOW spr round 7 (radius: 15)
[01:15:40 -157844.356373] SLOW spr round 8 (radius: 20)
[01:17:11 -157844.356372] SLOW spr round 9 (radius: 25)
[01:19:03 -157844.356372] Model parameter optimization (eps = 0.100000)

[01:19:06] ML tree search #5, logLikelihood: -157844.311473

[01:19:06 -437942.566951] Initial branch length optimization
[01:19:07 -354243.974335] Model parameter optimization (eps = 10.000000)
[01:19:28 -353230.054173] AUTODETECT spr round 1 (radius: 5)
[01:19:55 -268797.158438] AUTODETECT spr round 2 (radius: 10)
[01:20:27 -212574.240065] AUTODETECT spr round 3 (radius: 15)
[01:21:02 -189638.202503] AUTODETECT spr round 4 (radius: 20)
[01:21:46 -176737.123350] AUTODETECT spr round 5 (radius: 25)
[01:22:36 -176388.324491] SPR radius for FAST iterations: 25 (autodetect)
[01:22:36 -176388.324491] Model parameter optimization (eps = 3.000000)
[01:22:48 -176223.905700] FAST spr round 1 (radius: 25)
[01:23:33 -158767.698938] FAST spr round 2 (radius: 25)
[01:24:08 -157961.663880] FAST spr round 3 (radius: 25)
[01:24:39 -157914.489641] FAST spr round 4 (radius: 25)
[01:25:04 -157906.543367] FAST spr round 5 (radius: 25)
[01:25:29 -157901.827048] FAST spr round 6 (radius: 25)
[01:25:52 -157901.500452] FAST spr round 7 (radius: 25)
[01:26:14 -157901.497934] Model parameter optimization (eps = 1.000000)
[01:26:21 -157900.368122] SLOW spr round 1 (radius: 5)
[01:27:00 -157867.298548] SLOW spr round 2 (radius: 5)
[01:27:36 -157866.771523] SLOW spr round 3 (radius: 5)
[01:28:11 -157866.771303] SLOW spr round 4 (radius: 10)
[01:28:52 -157864.281768] SLOW spr round 5 (radius: 5)
[01:29:37 -157859.745150] SLOW spr round 6 (radius: 5)
[01:30:16 -157859.744487] SLOW spr round 7 (radius: 10)
[01:30:57 -157859.744423] SLOW spr round 8 (radius: 15)
[01:32:09 -157859.744387] SLOW spr round 9 (radius: 20)
[01:33:40 -157859.744354] SLOW spr round 10 (radius: 25)
[01:35:22 -157859.744321] Model parameter optimization (eps = 0.100000)

[01:35:24] ML tree search #6, logLikelihood: -157859.662686

[01:35:24 -434681.604944] Initial branch length optimization
[01:35:25 -353762.573007] Model parameter optimization (eps = 10.000000)
[01:35:43 -352767.486540] AUTODETECT spr round 1 (radius: 5)
[01:36:10 -262406.062624] AUTODETECT spr round 2 (radius: 10)
[01:36:41 -215462.598719] AUTODETECT spr round 3 (radius: 15)
[01:37:20 -180177.578964] AUTODETECT spr round 4 (radius: 20)
[01:38:07 -173020.879700] AUTODETECT spr round 5 (radius: 25)
[01:39:04 -171994.097616] SPR radius for FAST iterations: 25 (autodetect)
[01:39:04 -171994.097616] Model parameter optimization (eps = 3.000000)
[01:39:15 -171884.183759] FAST spr round 1 (radius: 25)
[01:39:59 -158255.636177] FAST spr round 2 (radius: 25)
[01:40:34 -157969.908397] FAST spr round 3 (radius: 25)
[01:41:04 -157929.413288] FAST spr round 4 (radius: 25)
[01:41:28 -157927.160067] FAST spr round 5 (radius: 25)
[01:41:52 -157927.157198] Model parameter optimization (eps = 1.000000)
[01:42:00 -157917.972102] SLOW spr round 1 (radius: 5)
[01:42:38 -157884.270049] SLOW spr round 2 (radius: 5)
[01:43:14 -157883.290824] SLOW spr round 3 (radius: 5)
[01:43:49 -157883.285231] SLOW spr round 4 (radius: 10)
[01:44:29 -157882.521549] SLOW spr round 5 (radius: 5)
[01:45:15 -157881.538837] SLOW spr round 6 (radius: 5)
[01:45:55 -157881.538574] SLOW spr round 7 (radius: 10)
[01:46:36 -157881.538354] SLOW spr round 8 (radius: 15)
[01:47:52 -157879.797117] SLOW spr round 9 (radius: 5)
[01:48:39 -157879.796085] SLOW spr round 10 (radius: 10)
[01:49:29 -157879.795983] SLOW spr round 11 (radius: 15)
[01:50:39 -157879.795937] SLOW spr round 12 (radius: 20)
[01:52:20 -157879.795896] SLOW spr round 13 (radius: 25)
[01:54:04 -157879.795857] Model parameter optimization (eps = 0.100000)

[01:54:10] ML tree search #7, logLikelihood: -157879.511934

[01:54:10 -435810.700173] Initial branch length optimization
[01:54:11 -353577.662727] Model parameter optimization (eps = 10.000000)
[01:54:25 -352620.608975] AUTODETECT spr round 1 (radius: 5)
[01:54:52 -268532.303085] AUTODETECT spr round 2 (radius: 10)
[01:55:23 -216758.502008] AUTODETECT spr round 3 (radius: 15)
[01:55:59 -183156.489964] AUTODETECT spr round 4 (radius: 20)
[01:56:41 -177864.123362] AUTODETECT spr round 5 (radius: 25)
[01:57:33 -176937.929203] SPR radius for FAST iterations: 25 (autodetect)
[01:57:33 -176937.929203] Model parameter optimization (eps = 3.000000)
[01:57:44 -176821.779655] FAST spr round 1 (radius: 25)
[01:58:24 -158559.309544] FAST spr round 2 (radius: 25)
[01:58:57 -157967.805282] FAST spr round 3 (radius: 25)
[01:59:27 -157916.345583] FAST spr round 4 (radius: 25)
[01:59:53 -157901.995485] FAST spr round 5 (radius: 25)
[02:00:16 -157901.994814] Model parameter optimization (eps = 1.000000)
[02:00:23 -157897.271566] SLOW spr round 1 (radius: 5)
[02:01:00 -157881.417403] SLOW spr round 2 (radius: 5)
[02:01:36 -157880.079108] SLOW spr round 3 (radius: 5)
[02:02:11 -157880.078342] SLOW spr round 4 (radius: 10)
[02:02:50 -157880.078179] SLOW spr round 5 (radius: 15)
[02:04:08 -157875.074936] SLOW spr round 6 (radius: 5)
[02:04:55 -157875.074243] SLOW spr round 7 (radius: 10)
[02:05:44 -157875.074178] SLOW spr round 8 (radius: 15)
[02:06:54 -157875.074130] SLOW spr round 9 (radius: 20)
[02:08:32 -157875.074083] SLOW spr round 10 (radius: 25)
[02:10:18 -157875.074036] Model parameter optimization (eps = 0.100000)

[02:10:22] ML tree search #8, logLikelihood: -157874.892949

[02:10:22 -444138.461208] Initial branch length optimization
[02:10:24 -359793.553903] Model parameter optimization (eps = 10.000000)
[02:10:43 -358640.300493] AUTODETECT spr round 1 (radius: 5)
[02:11:10 -273566.079723] AUTODETECT spr round 2 (radius: 10)
[02:11:41 -215015.265328] AUTODETECT spr round 3 (radius: 15)
[02:12:17 -181945.137069] AUTODETECT spr round 4 (radius: 20)
[02:13:03 -175870.666572] AUTODETECT spr round 5 (radius: 25)
[02:13:49 -174791.522662] SPR radius for FAST iterations: 25 (autodetect)
[02:13:49 -174791.522662] Model parameter optimization (eps = 3.000000)
[02:14:00 -174601.094841] FAST spr round 1 (radius: 25)
[02:14:44 -158802.176851] FAST spr round 2 (radius: 25)
[02:15:18 -157906.819602] FAST spr round 3 (radius: 25)
[02:15:46 -157878.485807] FAST spr round 4 (radius: 25)
[02:16:10 -157875.532209] FAST spr round 5 (radius: 25)
[02:16:33 -157874.813500] FAST spr round 6 (radius: 25)
[02:16:56 -157874.810235] Model parameter optimization (eps = 1.000000)
[02:17:02 -157871.618020] SLOW spr round 1 (radius: 5)
[02:17:40 -157856.865970] SLOW spr round 2 (radius: 5)
[02:18:15 -157854.106182] SLOW spr round 3 (radius: 5)
[02:18:50 -157854.106049] SLOW spr round 4 (radius: 10)
[02:19:29 -157854.105989] SLOW spr round 5 (radius: 15)
[02:20:41 -157854.105933] SLOW spr round 6 (radius: 20)
[02:22:07 -157850.368561] SLOW spr round 7 (radius: 5)
[02:22:56 -157848.576831] SLOW spr round 8 (radius: 5)
[02:23:37 -157848.072943] SLOW spr round 9 (radius: 5)
[02:24:14 -157848.071781] SLOW spr round 10 (radius: 10)
[02:24:54 -157848.071700] SLOW spr round 11 (radius: 15)
[02:26:04 -157848.071645] SLOW spr round 12 (radius: 20)
[02:27:31 -157848.071591] SLOW spr round 13 (radius: 25)
[02:29:17 -157848.071537] Model parameter optimization (eps = 0.100000)

[02:29:21] ML tree search #9, logLikelihood: -157848.023834

[02:29:21 -440845.851139] Initial branch length optimization
[02:29:22 -355937.101441] Model parameter optimization (eps = 10.000000)
[02:29:41 -354957.246212] AUTODETECT spr round 1 (radius: 5)
[02:30:08 -263716.972354] AUTODETECT spr round 2 (radius: 10)
[02:30:39 -217459.661445] AUTODETECT spr round 3 (radius: 15)
[02:31:18 -178404.876894] AUTODETECT spr round 4 (radius: 20)
[02:32:08 -172008.245153] AUTODETECT spr round 5 (radius: 25)
[02:33:07 -171857.052748] SPR radius for FAST iterations: 25 (autodetect)
[02:33:07 -171857.052748] Model parameter optimization (eps = 3.000000)
[02:33:17 -171683.591457] FAST spr round 1 (radius: 25)
[02:34:03 -158425.819203] FAST spr round 2 (radius: 25)
[02:34:37 -157969.073863] FAST spr round 3 (radius: 25)
[02:35:07 -157919.464268] FAST spr round 4 (radius: 25)
[02:35:32 -157912.104799] FAST spr round 5 (radius: 25)
[02:35:56 -157912.007320] Model parameter optimization (eps = 1.000000)
[02:36:02 -157907.403649] SLOW spr round 1 (radius: 5)
[02:36:41 -157873.972284] SLOW spr round 2 (radius: 5)
[02:37:16 -157872.667079] SLOW spr round 3 (radius: 5)
[02:37:53 -157869.152053] SLOW spr round 4 (radius: 5)
[02:38:28 -157863.840984] SLOW spr round 5 (radius: 5)
[02:39:03 -157863.839774] SLOW spr round 6 (radius: 10)
[02:39:41 -157860.247793] SLOW spr round 7 (radius: 5)
[02:40:27 -157858.246921] SLOW spr round 8 (radius: 5)
[02:41:06 -157858.212981] SLOW spr round 9 (radius: 10)
[02:41:46 -157858.210665] SLOW spr round 10 (radius: 15)
[02:42:59 -157856.102341] SLOW spr round 11 (radius: 5)
[02:43:46 -157851.812474] SLOW spr round 12 (radius: 5)
[02:44:26 -157851.650148] SLOW spr round 13 (radius: 5)
[02:45:03 -157851.650089] SLOW spr round 14 (radius: 10)
[02:45:42 -157851.650035] SLOW spr round 15 (radius: 15)
[02:46:56 -157851.649982] SLOW spr round 16 (radius: 20)
[02:48:28 -157851.649931] SLOW spr round 17 (radius: 25)
[02:50:17 -157851.649880] Model parameter optimization (eps = 0.100000)

[02:50:24] ML tree search #10, logLikelihood: -157850.681185

[02:50:24 -441762.283909] Initial branch length optimization
[02:50:25 -357905.346161] Model parameter optimization (eps = 10.000000)
[02:50:39 -356962.641986] AUTODETECT spr round 1 (radius: 5)
[02:51:06 -275163.191010] AUTODETECT spr round 2 (radius: 10)
[02:51:39 -206130.261062] AUTODETECT spr round 3 (radius: 15)
[02:52:13 -187142.269281] AUTODETECT spr round 4 (radius: 20)
[02:52:58 -177191.850471] AUTODETECT spr round 5 (radius: 25)
[02:53:43 -176795.388100] SPR radius for FAST iterations: 25 (autodetect)
[02:53:43 -176795.388100] Model parameter optimization (eps = 3.000000)
[02:53:55 -176591.123939] FAST spr round 1 (radius: 25)
[02:54:37 -158906.551409] FAST spr round 2 (radius: 25)
[02:55:12 -157935.442115] FAST spr round 3 (radius: 25)
[02:55:41 -157912.757096] FAST spr round 4 (radius: 25)
[02:56:06 -157909.989523] FAST spr round 5 (radius: 25)
[02:56:29 -157909.788778] FAST spr round 6 (radius: 25)
[02:56:52 -157909.788187] Model parameter optimization (eps = 1.000000)
[02:57:00 -157900.519309] SLOW spr round 1 (radius: 5)
[02:57:38 -157879.391035] SLOW spr round 2 (radius: 5)
[02:58:16 -157875.253181] SLOW spr round 3 (radius: 5)
[02:58:51 -157875.251861] SLOW spr round 4 (radius: 10)
[02:59:31 -157871.672626] SLOW spr round 5 (radius: 5)
[03:00:17 -157871.072361] SLOW spr round 6 (radius: 5)
[03:00:56 -157870.908404] SLOW spr round 7 (radius: 5)
[03:01:33 -157870.907725] SLOW spr round 8 (radius: 10)
[03:02:13 -157870.907678] SLOW spr round 9 (radius: 15)
[03:03:29 -157870.907649] SLOW spr round 10 (radius: 20)
[03:05:05 -157870.907620] SLOW spr round 11 (radius: 25)
[03:06:48 -157870.907591] Model parameter optimization (eps = 0.100000)

[03:06:51] ML tree search #11, logLikelihood: -157870.820632

[03:06:51 -442545.079825] Initial branch length optimization
[03:06:52 -357792.817524] Model parameter optimization (eps = 10.000000)
[03:07:08 -356857.335995] AUTODETECT spr round 1 (radius: 5)
[03:07:35 -266926.986185] AUTODETECT spr round 2 (radius: 10)
[03:08:07 -209568.297792] AUTODETECT spr round 3 (radius: 15)
[03:08:42 -175873.874688] AUTODETECT spr round 4 (radius: 20)
[03:09:26 -171410.270411] AUTODETECT spr round 5 (radius: 25)
[03:10:21 -171284.904383] SPR radius for FAST iterations: 25 (autodetect)
[03:10:21 -171284.904383] Model parameter optimization (eps = 3.000000)
[03:10:32 -171092.127286] FAST spr round 1 (radius: 25)
[03:11:11 -158428.585305] FAST spr round 2 (radius: 25)
[03:11:45 -157942.341192] FAST spr round 3 (radius: 25)
[03:12:15 -157898.849207] FAST spr round 4 (radius: 25)
[03:12:39 -157892.987958] FAST spr round 5 (radius: 25)
[03:13:03 -157891.611725] FAST spr round 6 (radius: 25)
[03:13:26 -157891.611512] Model parameter optimization (eps = 1.000000)
[03:13:32 -157889.623113] SLOW spr round 1 (radius: 5)
[03:14:10 -157866.517605] SLOW spr round 2 (radius: 5)
[03:14:46 -157863.570426] SLOW spr round 3 (radius: 5)
[03:15:23 -157862.648733] SLOW spr round 4 (radius: 5)
[03:15:58 -157862.647944] SLOW spr round 5 (radius: 10)
[03:16:38 -157858.576628] SLOW spr round 6 (radius: 5)
[03:17:23 -157856.045860] SLOW spr round 7 (radius: 5)
[03:18:02 -157856.044944] SLOW spr round 8 (radius: 10)
[03:18:43 -157856.044890] SLOW spr round 9 (radius: 15)
[03:19:57 -157856.044859] SLOW spr round 10 (radius: 20)
[03:21:31 -157856.044830] SLOW spr round 11 (radius: 25)
[03:23:12 -157856.044800] Model parameter optimization (eps = 0.100000)

[03:23:15] ML tree search #12, logLikelihood: -157855.836533

[03:23:15 -441548.585482] Initial branch length optimization
[03:23:16 -355539.913576] Model parameter optimization (eps = 10.000000)
[03:23:32 -354425.715343] AUTODETECT spr round 1 (radius: 5)
[03:23:59 -264566.211561] AUTODETECT spr round 2 (radius: 10)
[03:24:31 -207227.170770] AUTODETECT spr round 3 (radius: 15)
[03:25:08 -175469.266800] AUTODETECT spr round 4 (radius: 20)
[03:25:49 -171274.384061] AUTODETECT spr round 5 (radius: 25)
[03:26:41 -171269.463643] SPR radius for FAST iterations: 25 (autodetect)
[03:26:41 -171269.463643] Model parameter optimization (eps = 3.000000)
[03:26:52 -171109.727369] FAST spr round 1 (radius: 25)
[03:27:35 -158313.880731] FAST spr round 2 (radius: 25)
[03:28:10 -158015.565632] FAST spr round 3 (radius: 25)
[03:28:42 -157898.633140] FAST spr round 4 (radius: 25)
[03:29:06 -157894.746243] FAST spr round 5 (radius: 25)
[03:29:29 -157894.745862] Model parameter optimization (eps = 1.000000)
[03:29:37 -157884.941310] SLOW spr round 1 (radius: 5)
[03:30:15 -157859.468440] SLOW spr round 2 (radius: 5)
[03:30:52 -157856.429547] SLOW spr round 3 (radius: 5)
[03:31:26 -157856.429333] SLOW spr round 4 (radius: 10)
[03:32:06 -157851.218769] SLOW spr round 5 (radius: 5)
[03:32:51 -157851.218281] SLOW spr round 6 (radius: 10)
[03:33:37 -157851.218111] SLOW spr round 7 (radius: 15)
[03:34:46 -157846.869017] SLOW spr round 8 (radius: 5)
[03:35:33 -157846.867264] SLOW spr round 9 (radius: 10)
[03:36:22 -157846.867101] SLOW spr round 10 (radius: 15)
[03:37:29 -157846.867086] SLOW spr round 11 (radius: 20)
[03:39:02 -157846.867081] SLOW spr round 12 (radius: 25)
[03:40:50 -157846.867076] Model parameter optimization (eps = 0.100000)

[03:40:54] ML tree search #13, logLikelihood: -157846.745531

[03:40:54 -434173.935348] Initial branch length optimization
[03:40:55 -352341.530363] Model parameter optimization (eps = 10.000000)
[03:41:14 -351481.560824] AUTODETECT spr round 1 (radius: 5)
[03:41:40 -262047.440504] AUTODETECT spr round 2 (radius: 10)
[03:42:12 -210765.598730] AUTODETECT spr round 3 (radius: 15)
[03:42:48 -178483.867942] AUTODETECT spr round 4 (radius: 20)
[03:43:28 -175114.467680] AUTODETECT spr round 5 (radius: 25)
[03:44:14 -175079.922308] SPR radius for FAST iterations: 25 (autodetect)
[03:44:14 -175079.922308] Model parameter optimization (eps = 3.000000)
[03:44:27 -174925.838518] FAST spr round 1 (radius: 25)
[03:45:12 -158714.565328] FAST spr round 2 (radius: 25)
[03:45:47 -157931.710203] FAST spr round 3 (radius: 25)
[03:46:13 -157926.123805] FAST spr round 4 (radius: 25)
[03:46:36 -157926.122269] Model parameter optimization (eps = 1.000000)
[03:46:43 -157924.744593] SLOW spr round 1 (radius: 5)
[03:47:22 -157875.001120] SLOW spr round 2 (radius: 5)
[03:47:59 -157870.188107] SLOW spr round 3 (radius: 5)
[03:48:35 -157866.776860] SLOW spr round 4 (radius: 5)
[03:49:11 -157866.776400] SLOW spr round 5 (radius: 10)
[03:49:51 -157865.690510] SLOW spr round 6 (radius: 5)
[03:50:37 -157863.054981] SLOW spr round 7 (radius: 5)
[03:51:16 -157862.905890] SLOW spr round 8 (radius: 5)
[03:51:53 -157862.905056] SLOW spr round 9 (radius: 10)
[03:52:33 -157859.194837] SLOW spr round 10 (radius: 5)
[03:53:20 -157852.425812] SLOW spr round 11 (radius: 5)
[03:54:01 -157849.166785] SLOW spr round 12 (radius: 5)
[03:54:37 -157848.891313] SLOW spr round 13 (radius: 5)
[03:55:13 -157848.890459] SLOW spr round 14 (radius: 10)
[03:55:52 -157848.890349] SLOW spr round 15 (radius: 15)
[03:57:07 -157848.890290] SLOW spr round 16 (radius: 20)
[03:58:39 -157848.890236] SLOW spr round 17 (radius: 25)
[04:00:24 -157848.890183] Model parameter optimization (eps = 0.100000)

[04:00:30] ML tree search #14, logLikelihood: -157847.703024

[04:00:30 -442780.974281] Initial branch length optimization
[04:00:32 -356797.518091] Model parameter optimization (eps = 10.000000)
[04:00:55 -355746.803810] AUTODETECT spr round 1 (radius: 5)
[04:01:22 -267787.169379] AUTODETECT spr round 2 (radius: 10)
[04:01:54 -200008.460600] AUTODETECT spr round 3 (radius: 15)
[04:02:30 -177198.162461] AUTODETECT spr round 4 (radius: 20)
[04:03:18 -176084.327256] AUTODETECT spr round 5 (radius: 25)
[04:04:17 -176080.096781] SPR radius for FAST iterations: 25 (autodetect)
[04:04:17 -176080.096781] Model parameter optimization (eps = 3.000000)
[04:04:26 -175877.516312] FAST spr round 1 (radius: 25)
[04:05:12 -158474.949396] FAST spr round 2 (radius: 25)
[04:05:47 -157985.439103] FAST spr round 3 (radius: 25)
[04:06:17 -157928.262397] FAST spr round 4 (radius: 25)
[04:06:42 -157897.117983] FAST spr round 5 (radius: 25)
[04:07:07 -157887.959105] FAST spr round 6 (radius: 25)
[04:07:30 -157887.958948] Model parameter optimization (eps = 1.000000)
[04:07:37 -157881.937532] SLOW spr round 1 (radius: 5)
[04:08:15 -157854.274459] SLOW spr round 2 (radius: 5)
[04:08:51 -157851.378037] SLOW spr round 3 (radius: 5)
[04:09:25 -157850.951064] SLOW spr round 4 (radius: 5)
[04:10:01 -157846.949135] SLOW spr round 5 (radius: 5)
[04:10:36 -157846.948413] SLOW spr round 6 (radius: 10)
[04:11:15 -157846.948378] SLOW spr round 7 (radius: 15)
[04:12:29 -157846.948361] SLOW spr round 8 (radius: 20)
[04:14:00 -157846.948346] SLOW spr round 9 (radius: 25)
[04:15:47 -157846.948331] Model parameter optimization (eps = 0.100000)

[04:15:50] ML tree search #15, logLikelihood: -157846.816076

[04:15:50 -436560.287595] Initial branch length optimization
[04:15:52 -353047.805543] Model parameter optimization (eps = 10.000000)
[04:16:07 -352070.244956] AUTODETECT spr round 1 (radius: 5)
[04:16:34 -268636.574545] AUTODETECT spr round 2 (radius: 10)
[04:17:04 -223680.417598] AUTODETECT spr round 3 (radius: 15)
[04:17:40 -186769.124365] AUTODETECT spr round 4 (radius: 20)
[04:18:25 -180114.624757] AUTODETECT spr round 5 (radius: 25)
[04:19:13 -178826.760582] SPR radius for FAST iterations: 25 (autodetect)
[04:19:13 -178826.760582] Model parameter optimization (eps = 3.000000)
[04:19:27 -178666.102492] FAST spr round 1 (radius: 25)
[04:20:15 -158721.920445] FAST spr round 2 (radius: 25)
[04:20:51 -158108.895664] FAST spr round 3 (radius: 25)
[04:21:23 -157920.435514] FAST spr round 4 (radius: 25)
[04:21:48 -157893.735971] FAST spr round 5 (radius: 25)
[04:22:11 -157893.735718] Model parameter optimization (eps = 1.000000)
[04:22:20 -157883.650902] SLOW spr round 1 (radius: 5)
[04:22:57 -157865.641326] SLOW spr round 2 (radius: 5)
[04:23:34 -157857.165995] SLOW spr round 3 (radius: 5)
[04:24:09 -157856.919029] SLOW spr round 4 (radius: 5)
[04:24:44 -157856.918634] SLOW spr round 5 (radius: 10)
[04:25:23 -157849.863757] SLOW spr round 6 (radius: 5)
[04:26:10 -157845.914471] SLOW spr round 7 (radius: 5)
[04:26:48 -157845.914077] SLOW spr round 8 (radius: 10)
[04:27:29 -157845.914039] SLOW spr round 9 (radius: 15)
[04:28:39 -157845.914008] SLOW spr round 10 (radius: 20)
[04:30:07 -157845.913977] SLOW spr round 11 (radius: 25)
[04:31:53 -157845.913945] Model parameter optimization (eps = 0.100000)

[04:31:59] ML tree search #16, logLikelihood: -157845.258156

[04:31:59 -445215.974621] Initial branch length optimization
[04:32:00 -360464.459452] Model parameter optimization (eps = 10.000000)
[04:32:21 -359569.200981] AUTODETECT spr round 1 (radius: 5)
[04:32:48 -271457.840734] AUTODETECT spr round 2 (radius: 10)
[04:33:19 -221189.444313] AUTODETECT spr round 3 (radius: 15)
[04:33:55 -196765.958955] AUTODETECT spr round 4 (radius: 20)
[04:34:39 -179280.730230] AUTODETECT spr round 5 (radius: 25)
[04:35:21 -178958.488341] SPR radius for FAST iterations: 25 (autodetect)
[04:35:21 -178958.488341] Model parameter optimization (eps = 3.000000)
[04:35:31 -178794.621414] FAST spr round 1 (radius: 25)
[04:36:15 -158750.478716] FAST spr round 2 (radius: 25)
[04:36:49 -157954.502073] FAST spr round 3 (radius: 25)
[04:37:18 -157896.811163] FAST spr round 4 (radius: 25)
[04:37:44 -157890.740130] FAST spr round 5 (radius: 25)
[04:38:06 -157890.739006] Model parameter optimization (eps = 1.000000)
[04:38:14 -157885.698544] SLOW spr round 1 (radius: 5)
[04:38:51 -157862.109376] SLOW spr round 2 (radius: 5)
[04:39:27 -157859.292756] SLOW spr round 3 (radius: 5)
[04:40:01 -157859.292102] SLOW spr round 4 (radius: 10)
[04:40:39 -157852.846210] SLOW spr round 5 (radius: 5)
[04:41:24 -157852.662855] SLOW spr round 6 (radius: 5)
[04:42:03 -157852.661258] SLOW spr round 7 (radius: 10)
[04:42:43 -157852.660859] SLOW spr round 8 (radius: 15)
[04:43:53 -157852.660708] SLOW spr round 9 (radius: 20)
[04:45:18 -157852.660630] SLOW spr round 10 (radius: 25)
[04:47:02 -157852.660575] Model parameter optimization (eps = 0.100000)

[04:47:06] ML tree search #17, logLikelihood: -157852.116908

[04:47:06 -440087.336607] Initial branch length optimization
[04:47:07 -355431.745665] Model parameter optimization (eps = 10.000000)
[04:47:27 -354441.489548] AUTODETECT spr round 1 (radius: 5)
[04:47:54 -268684.599830] AUTODETECT spr round 2 (radius: 10)
[04:48:25 -217991.219086] AUTODETECT spr round 3 (radius: 15)
[04:49:03 -192781.185503] AUTODETECT spr round 4 (radius: 20)
[04:49:46 -176498.769967] AUTODETECT spr round 5 (radius: 25)
[04:50:39 -175104.188241] SPR radius for FAST iterations: 25 (autodetect)
[04:50:39 -175104.188241] Model parameter optimization (eps = 3.000000)
[04:50:50 -174956.047675] FAST spr round 1 (radius: 25)
[04:51:33 -158973.399442] FAST spr round 2 (radius: 25)
[04:52:07 -157979.266256] FAST spr round 3 (radius: 25)
[04:52:37 -157934.706244] FAST spr round 4 (radius: 25)
[04:53:01 -157931.618699] FAST spr round 5 (radius: 25)
[04:53:24 -157930.864996] FAST spr round 6 (radius: 25)
[04:53:47 -157927.687437] FAST spr round 7 (radius: 25)
[04:54:10 -157925.920802] FAST spr round 8 (radius: 25)
[04:54:33 -157925.920210] Model parameter optimization (eps = 1.000000)
[04:54:39 -157922.246387] SLOW spr round 1 (radius: 5)
[04:55:18 -157891.137629] SLOW spr round 2 (radius: 5)
[04:55:55 -157872.457707] SLOW spr round 3 (radius: 5)
[04:56:30 -157872.456404] SLOW spr round 4 (radius: 10)
[04:57:09 -157868.825650] SLOW spr round 5 (radius: 5)
[04:57:56 -157865.887111] SLOW spr round 6 (radius: 5)
[04:58:36 -157861.948467] SLOW spr round 7 (radius: 5)
[04:59:13 -157860.770535] SLOW spr round 8 (radius: 5)
[04:59:48 -157860.766974] SLOW spr round 9 (radius: 10)
[05:00:28 -157860.183393] SLOW spr round 10 (radius: 5)
[05:01:14 -157860.180999] SLOW spr round 11 (radius: 10)
[05:02:00 -157860.180896] SLOW spr round 12 (radius: 15)
[05:03:10 -157860.180851] SLOW spr round 13 (radius: 20)
[05:04:43 -157860.180809] SLOW spr round 14 (radius: 25)
[05:06:27 -157859.882115] SLOW spr round 15 (radius: 5)
[05:07:17 -157859.697975] SLOW spr round 16 (radius: 5)
[05:07:59 -157859.697643] SLOW spr round 17 (radius: 10)
[05:08:43 -157859.697589] SLOW spr round 18 (radius: 15)
[05:09:55 -157859.697545] SLOW spr round 19 (radius: 20)
[05:11:27 -157859.697502] SLOW spr round 20 (radius: 25)
[05:13:11 -157859.697458] Model parameter optimization (eps = 0.100000)

[05:13:16] ML tree search #18, logLikelihood: -157859.386527

[05:13:16 -437004.794007] Initial branch length optimization
[05:13:17 -352342.594092] Model parameter optimization (eps = 10.000000)
[05:13:35 -351226.238451] AUTODETECT spr round 1 (radius: 5)
[05:14:02 -269216.824753] AUTODETECT spr round 2 (radius: 10)
[05:14:34 -212251.446886] AUTODETECT spr round 3 (radius: 15)
[05:15:10 -180253.977990] AUTODETECT spr round 4 (radius: 20)
[05:15:59 -173484.663347] AUTODETECT spr round 5 (radius: 25)
[05:17:02 -173370.071245] SPR radius for FAST iterations: 25 (autodetect)
[05:17:02 -173370.071245] Model parameter optimization (eps = 3.000000)
[05:17:14 -173200.720284] FAST spr round 1 (radius: 25)
[05:17:58 -158706.018726] FAST spr round 2 (radius: 25)
[05:18:33 -157986.630123] FAST spr round 3 (radius: 25)
[05:19:05 -157917.501235] FAST spr round 4 (radius: 25)
[05:19:31 -157901.538287] FAST spr round 5 (radius: 25)
[05:19:54 -157901.535356] Model parameter optimization (eps = 1.000000)
[05:20:02 -157893.458077] SLOW spr round 1 (radius: 5)
[05:20:41 -157856.822411] SLOW spr round 2 (radius: 5)
[05:21:18 -157855.063560] SLOW spr round 3 (radius: 5)
[05:21:53 -157855.062010] SLOW spr round 4 (radius: 10)
[05:22:31 -157855.061887] SLOW spr round 5 (radius: 15)
[05:23:47 -157851.589684] SLOW spr round 6 (radius: 5)
[05:24:34 -157851.502837] SLOW spr round 7 (radius: 10)
[05:25:21 -157851.502311] SLOW spr round 8 (radius: 15)
[05:26:29 -157851.502227] SLOW spr round 9 (radius: 20)
[05:28:02 -157851.502175] SLOW spr round 10 (radius: 25)
[05:29:49 -157851.502126] Model parameter optimization (eps = 0.100000)

[05:29:52] ML tree search #19, logLikelihood: -157851.431550

[05:29:52 -442651.235176] Initial branch length optimization
[05:29:54 -357131.131879] Model parameter optimization (eps = 10.000000)
[05:30:18 -356143.191499] AUTODETECT spr round 1 (radius: 5)
[05:30:44 -273992.851428] AUTODETECT spr round 2 (radius: 10)
[05:31:16 -210724.754113] AUTODETECT spr round 3 (radius: 15)
[05:31:51 -184404.195116] AUTODETECT spr round 4 (radius: 20)
[05:32:32 -178869.557937] AUTODETECT spr round 5 (radius: 25)
[05:33:16 -176064.455837] SPR radius for FAST iterations: 25 (autodetect)
[05:33:16 -176064.455837] Model parameter optimization (eps = 3.000000)
[05:33:26 -175906.666147] FAST spr round 1 (radius: 25)
[05:34:08 -158193.423524] FAST spr round 2 (radius: 25)
[05:34:41 -157925.969034] FAST spr round 3 (radius: 25)
[05:35:08 -157903.545464] FAST spr round 4 (radius: 25)
[05:35:32 -157893.077985] FAST spr round 5 (radius: 25)
[05:35:56 -157891.019598] FAST spr round 6 (radius: 25)
[05:36:18 -157891.019418] Model parameter optimization (eps = 1.000000)
[05:36:26 -157880.269156] SLOW spr round 1 (radius: 5)
[05:37:04 -157855.648263] SLOW spr round 2 (radius: 5)
[05:37:39 -157854.609341] SLOW spr round 3 (radius: 5)
[05:38:14 -157852.427962] SLOW spr round 4 (radius: 5)
[05:38:49 -157851.698238] SLOW spr round 5 (radius: 5)
[05:39:23 -157851.693764] SLOW spr round 6 (radius: 10)
[05:40:01 -157851.693755] SLOW spr round 7 (radius: 15)
[05:41:16 -157851.693749] SLOW spr round 8 (radius: 20)
[05:42:46 -157851.693744] SLOW spr round 9 (radius: 25)
[05:44:32 -157851.693739] Model parameter optimization (eps = 0.100000)

[05:44:35] ML tree search #20, logLikelihood: -157851.648519


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.111576,0.440868) (0.115326,0.424456) (0.458255,0.845155) (0.314843,1.634344) 
   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: -157844.089369

AIC score: 317490.178739 / AICc score: 1942894.178739 / BIC score: 321453.312775
Free parameters (model + branch lengths): 901

WARNING: Number of free parameters (K=901) is larger than alignment size (n=601).
         This might lead to overfitting and compromise tree inference results!


Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q96JX3/3_mltree/Q96JX3.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q96JX3/3_mltree/Q96JX3.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q96JX3/3_mltree/Q96JX3.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q96JX3/3_mltree/Q96JX3.raxml.log

Analysis started: 30-Jun-2021 17:47:21 / finished: 30-Jun-2021 23:31:57

Elapsed time: 20675.362 seconds

Consumed energy: 849.419 Wh (= 4 km in an electric car, or 21 km with an e-scooter!)