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

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

RAxML-NG was called at 30-Jun-2021 21:57:54 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O00411/2_msa/O00411_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O00411/3_mltree/O00411 --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/O00411/2_msa/O00411_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 599 sites

WARNING: Sequences tr_J3KGN2_J3KGN2_COCIM_246410 and tr_E9D5Y0_E9D5Y0_COCPS_443226 are exactly identical!
WARNING: Sequences tr_J3KGN2_J3KGN2_COCIM_246410 and tr_A0A0J6XZA9_A0A0J6XZA9_COCIT_404692 are exactly identical!
WARNING: Sequences tr_B2WGL2_B2WGL2_PYRTR_426418 and tr_A0A2W1H7X2_A0A2W1H7X2_9PLEO_45151 are exactly identical!
WARNING: Sequences tr_B8N6M7_B8N6M7_ASPFN_332952 and tr_Q2UD92_Q2UD92_ASPOR_510516 are exactly identical!
WARNING: Sequences tr_B8N6M7_B8N6M7_ASPFN_332952 and tr_A0A1S9DPR9_A0A1S9DPR9_ASPOZ_5062 are exactly identical!
WARNING: Sequences tr_A0A179UUC9_A0A179UUC9_BLAGS_559298 and tr_C5GMV9_C5GMV9_AJEDR_559297 are exactly identical!
WARNING: Sequences tr_A0A0E0IGP4_A0A0E0IGP4_ORYNI_4536 and tr_A0A0E0QNF9_A0A0E0QNF9_ORYRU_4529 are exactly identical!
WARNING: Sequences tr_A2R5W5_A2R5W5_ASPNC_425011 and tr_G7XU63_G7XU63_ASPKW_1033177 are exactly identical!
WARNING: Sequences tr_A2R5W5_A2R5W5_ASPNC_425011 and tr_G3XYH4_G3XYH4_ASPNA_380704 are exactly identical!
WARNING: Sequences tr_A2R5W5_A2R5W5_ASPNC_425011 and tr_A0A100IGV3_A0A100IGV3_ASPNG_5061 are exactly identical!
WARNING: Sequences tr_A2R5W5_A2R5W5_ASPNC_425011 and tr_A0A146G0D1_A0A146G0D1_9EURO_1069201 are exactly identical!
WARNING: Sequences tr_A2R5W5_A2R5W5_ASPNC_425011 and tr_A0A1L9MRP5_A0A1L9MRP5_ASPTU_767770 are exactly identical!
WARNING: Sequences tr_A2R5W5_A2R5W5_ASPNC_425011 and tr_A0A319A655_A0A319A655_9EURO_1450533 are exactly identical!
WARNING: Sequences tr_A2YFP7_A2YFP7_ORYSI_39946 and tr_A0A0E0Q0Y4_A0A0E0Q0Y4_ORYRU_4529 are exactly identical!
WARNING: Sequences tr_A2YFP7_A2YFP7_ORYSI_39946 and tr_A0A0E0ACN1_A0A0E0ACN1_9ORYZ_40148 are exactly identical!
WARNING: Sequences tr_A2YFP7_A2YFP7_ORYSI_39946 and tr_Q67UP6_Q67UP6_ORYSJ_39947 are exactly identical!
WARNING: Sequences tr_I1PIF4_I1PIF4_ORYGL_4538 and tr_A0A0D3H417_A0A0D3H417_9ORYZ_65489 are exactly identical!
WARNING: Sequences tr_I1Q467_I1Q467_ORYGL_4538 and tr_A0A0D3GJD3_A0A0D3GJD3_9ORYZ_65489 are exactly identical!
WARNING: Sequences tr_A0A0E0EPT7_A0A0E0EPT7_9ORYZ_40149 and tr_A0A0E0B006_A0A0E0B006_9ORYZ_40148 are exactly identical!
WARNING: Sequences tr_G2YM53_G2YM53_BOTF4_999810 and tr_M7TT85_M7TT85_BOTF1_1290391 are exactly identical!
WARNING: Sequences tr_F2SGD5_F2SGD5_TRIRC_559305 and tr_A0A178F0R3_A0A178F0R3_TRIRU_5551 are exactly identical!
WARNING: Sequences tr_A0A0D2XYW1_A0A0D2XYW1_FUSO4_426428 and tr_X0CMJ6_X0CMJ6_FUSOX_1089458 are exactly identical!
WARNING: Sequences tr_A0A0D2XYW1_A0A0D2XYW1_FUSO4_426428 and tr_A0A2H3THJ4_A0A2H3THJ4_FUSOX_5507 are exactly identical!
WARNING: Sequences tr_A0A0D2XYW1_A0A0D2XYW1_FUSO4_426428 and tr_A0A2H3GZU4_A0A2H3GZU4_FUSOX_327505 are exactly identical!
WARNING: Sequences tr_M4FDQ9_M4FDQ9_BRARP_51351 and tr_A0A078HAM2_A0A078HAM2_BRANA_3708 are exactly identical!
WARNING: Sequences tr_S0E8A2_S0E8A2_GIBF5_1279085 and tr_A0A365N5U3_A0A365N5U3_GIBIN_948311 are exactly identical!
WARNING: Sequences tr_V2XV26_V2XV26_MONRO_1381753 and tr_A0A0W0ETD6_A0A0W0ETD6_9AGAR_221103 are exactly identical!
WARNING: Sequences tr_W2RF65_W2RF65_PHYPN_761204 and tr_A0A0W8D722_A0A0W8D722_PHYNI_4790 are exactly identical!
WARNING: Sequences tr_W2RF65_W2RF65_PHYPN_761204 and tr_W2M0N1_W2M0N1_PHYPR_4792 are exactly identical!
WARNING: Sequences tr_A0A3B6LKV4_A0A3B6LKV4_WHEAT_4565 and tr_A0A3B6MNT1_A0A3B6MNT1_WHEAT_4565 are exactly identical!
WARNING: Sequences tr_A0A078G6J8_A0A078G6J8_BRANA_3708 and tr_A0A0D3C1N9_A0A0D3C1N9_BRAOL_109376 are exactly identical!
WARNING: Sequences tr_A0A078H7Y5_A0A078H7Y5_BRANA_3708 and tr_A0A0D3CZ52_A0A0D3CZ52_BRAOL_109376 are exactly identical!
WARNING: Sequences tr_V4TCR1_V4TCR1_9ROSI_85681 and tr_A0A2H5QK32_A0A2H5QK32_CITUN_55188 are exactly identical!
WARNING: Sequences tr_A0A0D2RRS6_A0A0D2RRS6_GOSRA_29730 and tr_A0A1U8JNP2_A0A1U8JNP2_GOSHI_3635 are exactly identical!
WARNING: Sequences tr_A0A0F0IDT0_A0A0F0IDT0_ASPPU_1403190 and tr_A0A2G7G0H5_A0A2G7G0H5_9EURO_656916 are exactly identical!
WARNING: Sequences tr_A0A0A1NZH4_A0A0A1NZH4_9FUNG_58291 and tr_A0A367JAP2_A0A367JAP2_9FUNG_86630 are exactly identical!
WARNING: Sequences tr_A0A0V1CFK0_A0A0V1CFK0_TRIBR_45882 and tr_A0A0V0TXI5_A0A0V0TXI5_9BILA_144512 are exactly identical!
WARNING: Sequences tr_A0A0V0WCN2_A0A0V0WCN2_9BILA_92179 and tr_A0A0V1LCD3_A0A0V1LCD3_9BILA_6335 are exactly identical!
WARNING: Sequences tr_A0A164WWW1_A0A164WWW1_9HOMO_1314777 and tr_A0A166ENQ7_A0A166ENQ7_9HOMO_1314776 are exactly identical!
WARNING: Sequences tr_A0A1S3Z9J1_A0A1S3Z9J1_TOBAC_4097 and sp_P69243_RPO3A_TOBAC_4097 are exactly identical!
WARNING: Sequences tr_A0A1S3Z9J1_A0A1S3Z9J1_TOBAC_4097 and sp_P69242_RPOT3_NICSY_4096 are exactly identical!
WARNING: Sequences tr_A0A1S3ZAK4_A0A1S3ZAK4_TOBAC_4097 and sp_Q8L6J5_RPO1B_TOBAC_4097 are exactly identical!
WARNING: Sequences tr_A0A1I7USX2_A0A1I7USX2_9PELO_1561998 and tr_A0A1I7USX3_A0A1I7USX3_9PELO_1561998 are exactly identical!
WARNING: Sequences tr_A0A1U7VXX6_A0A1U7VXX6_NICSY_4096 and sp_Q93Y94_RPOT1_NICSY_4096 are exactly identical!
WARNING: Sequences tr_A0A1U7W9B4_A0A1U7W9B4_NICSY_4096 and sp_Q8VWF8_RPOT2_NICSY_4096 are exactly identical!
WARNING: Duplicate sequences found: 45

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/O00411/3_mltree/O00411.raxml.reduced.phy

Alignment comprises 1 partitions and 599 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 599 / 599
Gaps: 1.58 %
Invariant sites: 0.50 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O00411/3_mltree/O00411.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 1001 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 -966159.715570] Initial branch length optimization
[00:00:05 -826663.846909] Model parameter optimization (eps = 10.000000)
[00:00:32 -824609.988514] AUTODETECT spr round 1 (radius: 5)
[00:02:15 -595904.392564] AUTODETECT spr round 2 (radius: 10)
[00:04:12 -453496.517160] AUTODETECT spr round 3 (radius: 15)
[00:06:22 -408326.757507] AUTODETECT spr round 4 (radius: 20)
[00:09:05 -366231.663478] AUTODETECT spr round 5 (radius: 25)
[00:11:48 -352156.891112] SPR radius for FAST iterations: 25 (autodetect)
[00:11:48 -352156.891112] Model parameter optimization (eps = 3.000000)
[00:11:54 -352152.059534] FAST spr round 1 (radius: 25)
[00:14:12 -301815.081860] FAST spr round 2 (radius: 25)
[00:15:58 -300224.969435] FAST spr round 3 (radius: 25)
[00:17:32 -300112.146519] FAST spr round 4 (radius: 25)
[00:18:55 -300106.173630] FAST spr round 5 (radius: 25)
[00:20:15 -300089.685892] FAST spr round 6 (radius: 25)
[00:21:33 -300089.685772] Model parameter optimization (eps = 1.000000)
[00:21:52 -300012.824900] SLOW spr round 1 (radius: 5)
[00:23:49 -299951.278607] SLOW spr round 2 (radius: 5)
[00:25:37 -299942.909227] SLOW spr round 3 (radius: 5)
[00:27:21 -299937.514481] SLOW spr round 4 (radius: 5)
[00:29:02 -299936.909779] SLOW spr round 5 (radius: 5)
[00:30:44 -299936.909692] SLOW spr round 6 (radius: 10)
[00:32:31 -299928.316470] SLOW spr round 7 (radius: 5)
[00:34:43 -299926.117452] SLOW spr round 8 (radius: 5)
[00:36:37 -299925.267585] SLOW spr round 9 (radius: 5)
[00:38:25 -299925.267407] SLOW spr round 10 (radius: 10)
[00:40:12 -299925.267397] SLOW spr round 11 (radius: 15)
[00:43:04 -299925.267397] SLOW spr round 12 (radius: 20)
[00:47:15 -299925.267396] SLOW spr round 13 (radius: 25)
[00:52:32 -299925.267396] Model parameter optimization (eps = 0.100000)

[00:52:46] ML tree search #1, logLikelihood: -299924.873782

[00:52:46 -967774.129804] Initial branch length optimization
[00:52:51 -827392.323535] Model parameter optimization (eps = 10.000000)
[00:53:24 -825259.924337] AUTODETECT spr round 1 (radius: 5)
[00:55:07 -583637.339312] AUTODETECT spr round 2 (radius: 10)
[00:57:06 -448624.541935] AUTODETECT spr round 3 (radius: 15)
[00:59:21 -379045.249605] AUTODETECT spr round 4 (radius: 20)
[01:01:48 -360737.935808] AUTODETECT spr round 5 (radius: 25)
[01:04:22 -357492.862053] SPR radius for FAST iterations: 25 (autodetect)
[01:04:22 -357492.862053] Model parameter optimization (eps = 3.000000)
[01:04:28 -357488.215368] FAST spr round 1 (radius: 25)
[01:06:53 -303684.579669] FAST spr round 2 (radius: 25)
[01:08:45 -300217.414268] FAST spr round 3 (radius: 25)
[01:10:26 -300089.938356] FAST spr round 4 (radius: 25)
[01:11:52 -300081.613277] FAST spr round 5 (radius: 25)
[01:13:16 -300081.612098] Model parameter optimization (eps = 1.000000)
[01:13:21 -300081.491879] SLOW spr round 1 (radius: 5)
[01:15:28 -300017.459879] SLOW spr round 2 (radius: 5)
[01:17:29 -300002.024235] SLOW spr round 3 (radius: 5)
[01:19:21 -300001.679868] SLOW spr round 4 (radius: 5)
[01:21:10 -300001.679863] SLOW spr round 5 (radius: 10)
[01:23:02 -300001.679863] SLOW spr round 6 (radius: 15)
[01:26:12 -300001.679863] SLOW spr round 7 (radius: 20)
[01:30:53 -300001.679863] SLOW spr round 8 (radius: 25)
[01:36:38 -300001.679863] Model parameter optimization (eps = 0.100000)

[01:36:53] ML tree search #2, logLikelihood: -299935.688754

[01:36:53 -968847.004540] Initial branch length optimization
[01:36:58 -828788.275395] Model parameter optimization (eps = 10.000000)
[01:37:25 -826771.394091] AUTODETECT spr round 1 (radius: 5)
[01:39:11 -586695.482294] AUTODETECT spr round 2 (radius: 10)
[01:41:15 -441309.824986] AUTODETECT spr round 3 (radius: 15)
[01:43:32 -375731.383223] AUTODETECT spr round 4 (radius: 20)
[01:45:50 -355339.796829] AUTODETECT spr round 5 (radius: 25)
[01:48:12 -343815.773362] SPR radius for FAST iterations: 25 (autodetect)
[01:48:12 -343815.773362] Model parameter optimization (eps = 3.000000)
[01:48:18 -343810.875004] FAST spr round 1 (radius: 25)
[01:50:43 -301424.076052] FAST spr round 2 (radius: 25)
[01:52:33 -300192.676091] FAST spr round 3 (radius: 25)
[01:54:13 -300088.475435] FAST spr round 4 (radius: 25)
[01:55:38 -300078.937974] FAST spr round 5 (radius: 25)
[01:57:01 -300065.729628] FAST spr round 6 (radius: 25)
[01:58:21 -300065.729456] Model parameter optimization (eps = 1.000000)
[01:58:40 -300007.564298] SLOW spr round 1 (radius: 5)
[02:00:42 -299933.888408] SLOW spr round 2 (radius: 5)
[02:02:34 -299928.014681] SLOW spr round 3 (radius: 5)
[02:04:21 -299927.973409] SLOW spr round 4 (radius: 10)
[02:06:09 -299927.973324] SLOW spr round 5 (radius: 15)
[02:09:10 -299927.973322] SLOW spr round 6 (radius: 20)
[02:13:36 -299927.973322] SLOW spr round 7 (radius: 25)
[02:19:02 -299927.973322] Model parameter optimization (eps = 0.100000)

[02:19:10] ML tree search #3, logLikelihood: -299927.568961

[02:19:10 -973450.510733] Initial branch length optimization
[02:19:14 -831971.712831] Model parameter optimization (eps = 10.000000)
[02:19:38 -829806.160445] AUTODETECT spr round 1 (radius: 5)
[02:21:28 -597123.759289] AUTODETECT spr round 2 (radius: 10)
[02:23:31 -458623.520686] AUTODETECT spr round 3 (radius: 15)
[02:25:47 -398080.327545] AUTODETECT spr round 4 (radius: 20)
[02:28:22 -348511.587200] AUTODETECT spr round 5 (radius: 25)
[02:31:23 -346096.591840] SPR radius for FAST iterations: 25 (autodetect)
[02:31:23 -346096.591840] Model parameter optimization (eps = 3.000000)
[02:31:37 -346001.387210] FAST spr round 1 (radius: 25)
[02:33:58 -301368.805653] FAST spr round 2 (radius: 25)
[02:35:43 -300139.777847] FAST spr round 3 (radius: 25)
[02:37:17 -300060.380086] FAST spr round 4 (radius: 25)
[02:38:38 -300059.847527] FAST spr round 5 (radius: 25)
[02:39:58 -300059.847527] Model parameter optimization (eps = 1.000000)
[02:40:08 -300057.373681] SLOW spr round 1 (radius: 5)
[02:42:08 -299952.276856] SLOW spr round 2 (radius: 5)
[02:43:51 -299931.753539] SLOW spr round 3 (radius: 5)
[02:45:33 -299930.237813] SLOW spr round 4 (radius: 5)
[02:47:23 -299930.237352] SLOW spr round 5 (radius: 10)
[02:49:17 -299927.196421] SLOW spr round 6 (radius: 5)
[02:51:35 -299922.118005] SLOW spr round 7 (radius: 5)
[02:53:36 -299921.776555] SLOW spr round 8 (radius: 5)
[02:55:28 -299921.776555] SLOW spr round 9 (radius: 10)
[02:57:23 -299920.804295] SLOW spr round 10 (radius: 5)
[02:59:40 -299917.857914] SLOW spr round 11 (radius: 5)
[03:01:42 -299917.697134] SLOW spr round 12 (radius: 5)
[03:03:35 -299917.697131] SLOW spr round 13 (radius: 10)
[03:05:29 -299917.697131] SLOW spr round 14 (radius: 15)
[03:08:36 -299917.697131] SLOW spr round 15 (radius: 20)
[03:13:10 -299917.697131] SLOW spr round 16 (radius: 25)
[03:18:49 -299917.697131] Model parameter optimization (eps = 0.100000)

[03:18:58] ML tree search #4, logLikelihood: -299917.216451

[03:18:58 -972293.368184] Initial branch length optimization
[03:19:02 -834767.052724] Model parameter optimization (eps = 10.000000)
[03:19:28 -832751.517130] AUTODETECT spr round 1 (radius: 5)
[03:21:21 -589392.325246] AUTODETECT spr round 2 (radius: 10)
[03:23:33 -432994.069663] AUTODETECT spr round 3 (radius: 15)
[03:26:02 -375689.962221] AUTODETECT spr round 4 (radius: 20)
[03:28:24 -352553.015287] AUTODETECT spr round 5 (radius: 25)
[03:30:57 -347856.593791] SPR radius for FAST iterations: 25 (autodetect)
[03:30:57 -347856.593791] Model parameter optimization (eps = 3.000000)
[03:31:17 -347780.054680] FAST spr round 1 (radius: 25)
[03:33:44 -301489.428074] FAST spr round 2 (radius: 25)
[03:35:34 -300114.080962] FAST spr round 3 (radius: 25)
[03:37:11 -300030.994789] FAST spr round 4 (radius: 25)
[03:38:37 -300026.138985] FAST spr round 5 (radius: 25)
[03:40:00 -300026.138947] Model parameter optimization (eps = 1.000000)
[03:40:10 -300024.633849] SLOW spr round 1 (radius: 5)
[03:42:17 -299918.917869] SLOW spr round 2 (radius: 5)
[03:44:11 -299912.097300] SLOW spr round 3 (radius: 5)
[03:46:02 -299906.565502] SLOW spr round 4 (radius: 5)
[03:47:51 -299905.550492] SLOW spr round 5 (radius: 5)
[03:49:40 -299905.550471] SLOW spr round 6 (radius: 10)
[03:51:31 -299905.550471] SLOW spr round 7 (radius: 15)
[03:54:38 -299905.550471] SLOW spr round 8 (radius: 20)
[03:59:02 -299905.550471] SLOW spr round 9 (radius: 25)
[04:04:32 -299905.550471] Model parameter optimization (eps = 0.100000)

[04:04:44] ML tree search #5, logLikelihood: -299905.050502

[04:04:44 -974591.690303] Initial branch length optimization
[04:04:51 -833941.233715] Model parameter optimization (eps = 10.000000)
[04:05:16 -831920.881852] AUTODETECT spr round 1 (radius: 5)
[04:07:09 -593607.996788] AUTODETECT spr round 2 (radius: 10)
[04:09:18 -450461.353748] AUTODETECT spr round 3 (radius: 15)
[04:11:42 -392234.606567] AUTODETECT spr round 4 (radius: 20)
[04:14:17 -366480.705199] AUTODETECT spr round 5 (radius: 25)
[04:17:43 -349555.439460] SPR radius for FAST iterations: 25 (autodetect)
[04:17:43 -349555.439460] Model parameter optimization (eps = 3.000000)
[04:17:54 -349528.903066] FAST spr round 1 (radius: 25)
[04:20:34 -302353.017819] FAST spr round 2 (radius: 25)
[04:22:35 -300309.527239] FAST spr round 3 (radius: 25)
[04:24:17 -300166.495894] FAST spr round 4 (radius: 25)
[04:25:51 -300147.878685] FAST spr round 5 (radius: 25)
[04:27:16 -300147.878657] Model parameter optimization (eps = 1.000000)
[04:27:32 -300074.866599] SLOW spr round 1 (radius: 5)
[04:29:42 -299961.143639] SLOW spr round 2 (radius: 5)
[04:31:43 -299932.395543] SLOW spr round 3 (radius: 5)
[04:33:37 -299929.018905] SLOW spr round 4 (radius: 5)
[04:35:27 -299929.018889] SLOW spr round 5 (radius: 10)
[04:37:18 -299929.018889] SLOW spr round 6 (radius: 15)
[04:40:25 -299929.018889] SLOW spr round 7 (radius: 20)
[04:44:48 -299929.018889] SLOW spr round 8 (radius: 25)
[04:50:31 -299929.018889] Model parameter optimization (eps = 0.100000)

[04:50:41] ML tree search #6, logLikelihood: -299928.265048

[04:50:41 -973604.462379] Initial branch length optimization
[04:50:47 -831574.629904] Model parameter optimization (eps = 10.000000)
[04:51:11 -829410.342018] AUTODETECT spr round 1 (radius: 5)
[04:53:01 -602539.595066] AUTODETECT spr round 2 (radius: 10)
[04:55:12 -440568.724591] AUTODETECT spr round 3 (radius: 15)
[04:57:33 -373631.455914] AUTODETECT spr round 4 (radius: 20)
[05:00:18 -346518.081452] AUTODETECT spr round 5 (radius: 25)
[05:03:41 -342571.115954] SPR radius for FAST iterations: 25 (autodetect)
[05:03:41 -342571.115954] Model parameter optimization (eps = 3.000000)
[05:03:57 -342486.120258] FAST spr round 1 (radius: 25)
[05:06:26 -301383.364041] FAST spr round 2 (radius: 25)
[05:08:16 -300174.374929] FAST spr round 3 (radius: 25)
[05:09:54 -300041.292643] FAST spr round 4 (radius: 25)
[05:11:22 -300037.399474] FAST spr round 5 (radius: 25)
[05:12:46 -300037.399142] Model parameter optimization (eps = 1.000000)
[05:12:55 -300034.787419] SLOW spr round 1 (radius: 5)
[05:14:57 -299950.636528] SLOW spr round 2 (radius: 5)
[05:16:53 -299936.580080] SLOW spr round 3 (radius: 5)
[05:18:43 -299935.830405] SLOW spr round 4 (radius: 5)
[05:20:31 -299935.830404] SLOW spr round 5 (radius: 10)
[05:22:22 -299935.830404] SLOW spr round 6 (radius: 15)
[05:25:25 -299935.830404] SLOW spr round 7 (radius: 20)
[05:30:00 -299935.830404] SLOW spr round 8 (radius: 25)
[05:35:34 -299935.830404] Model parameter optimization (eps = 0.100000)

[05:35:44] ML tree search #7, logLikelihood: -299935.299052

[05:35:44 -967257.634625] Initial branch length optimization
[05:35:48 -827517.385592] Model parameter optimization (eps = 10.000000)
[05:36:14 -825622.131879] AUTODETECT spr round 1 (radius: 5)
[05:38:06 -604703.729710] AUTODETECT spr round 2 (radius: 10)
[05:40:18 -465120.640637] AUTODETECT spr round 3 (radius: 15)
[05:42:39 -408637.071455] AUTODETECT spr round 4 (radius: 20)
[05:45:39 -372934.397689] AUTODETECT spr round 5 (radius: 25)
[05:48:24 -357027.696999] SPR radius for FAST iterations: 25 (autodetect)
[05:48:24 -357027.696999] Model parameter optimization (eps = 3.000000)
[05:48:31 -357022.215823] FAST spr round 1 (radius: 25)
[05:51:05 -302474.014371] FAST spr round 2 (radius: 25)
[05:52:59 -300214.758245] FAST spr round 3 (radius: 25)
[05:54:40 -300107.694498] FAST spr round 4 (radius: 25)
[05:56:09 -300099.924213] FAST spr round 5 (radius: 25)
[05:57:33 -300099.924210] Model parameter optimization (eps = 1.000000)
[05:57:48 -300046.018993] SLOW spr round 1 (radius: 5)
[05:59:54 -299950.626921] SLOW spr round 2 (radius: 5)
[06:01:53 -299933.221066] SLOW spr round 3 (radius: 5)
[06:03:44 -299931.145887] SLOW spr round 4 (radius: 5)
[06:05:33 -299930.205223] SLOW spr round 5 (radius: 5)
[06:07:22 -299930.205156] SLOW spr round 6 (radius: 10)
[06:09:14 -299923.751765] SLOW spr round 7 (radius: 5)
[06:11:33 -299921.334452] SLOW spr round 8 (radius: 5)
[06:13:35 -299921.185442] SLOW spr round 9 (radius: 5)
[06:15:28 -299921.185442] SLOW spr round 10 (radius: 10)
[06:17:20 -299921.185442] SLOW spr round 11 (radius: 15)
[06:20:25 -299921.185442] SLOW spr round 12 (radius: 20)
[06:24:55 -299921.185442] SLOW spr round 13 (radius: 25)
[06:30:42 -299921.185442] Model parameter optimization (eps = 0.100000)

[06:30:50] ML tree search #8, logLikelihood: -299921.037125

[06:30:50 -972657.521854] Initial branch length optimization
[06:30:54 -831527.860798] Model parameter optimization (eps = 10.000000)
[06:31:21 -829478.654161] AUTODETECT spr round 1 (radius: 5)
[06:33:10 -595324.592364] AUTODETECT spr round 2 (radius: 10)
[06:35:18 -449257.177420] AUTODETECT spr round 3 (radius: 15)
[06:37:37 -410349.472945] AUTODETECT spr round 4 (radius: 20)
[06:40:15 -369805.447698] AUTODETECT spr round 5 (radius: 25)
[06:42:58 -356137.602181] SPR radius for FAST iterations: 25 (autodetect)
[06:42:58 -356137.602181] Model parameter optimization (eps = 3.000000)
[06:43:04 -356133.950430] FAST spr round 1 (radius: 25)
[06:45:33 -302476.331584] FAST spr round 2 (radius: 25)
[06:47:28 -300316.104630] FAST spr round 3 (radius: 25)
[06:49:07 -300155.357869] FAST spr round 4 (radius: 25)
[06:50:35 -300142.803612] FAST spr round 5 (radius: 25)
[06:52:00 -300139.484158] FAST spr round 6 (radius: 25)
[06:53:24 -300139.482698] Model parameter optimization (eps = 1.000000)
[06:53:37 -300062.907761] SLOW spr round 1 (radius: 5)
[06:55:40 -299941.353523] SLOW spr round 2 (radius: 5)
[06:57:36 -299936.164513] SLOW spr round 3 (radius: 5)
[06:59:26 -299935.573939] SLOW spr round 4 (radius: 5)
[07:01:15 -299935.573934] SLOW spr round 5 (radius: 10)
[07:03:10 -299935.573934] SLOW spr round 6 (radius: 15)
[07:06:21 -299932.365861] SLOW spr round 7 (radius: 5)
[07:08:46 -299931.694779] SLOW spr round 8 (radius: 5)
[07:10:50 -299931.694064] SLOW spr round 9 (radius: 10)
[07:12:48 -299931.693946] SLOW spr round 10 (radius: 15)
[07:15:50 -299931.693924] SLOW spr round 11 (radius: 20)
[07:20:32 -299931.693920] SLOW spr round 12 (radius: 25)
[07:26:04 -299931.693919] Model parameter optimization (eps = 0.100000)

[07:26:14] ML tree search #9, logLikelihood: -299930.748548

[07:26:14 -968919.162395] Initial branch length optimization
[07:26:18 -828930.178359] Model parameter optimization (eps = 10.000000)
[07:26:41 -826871.620472] AUTODETECT spr round 1 (radius: 5)
[07:28:30 -600128.422800] AUTODETECT spr round 2 (radius: 10)
[07:30:39 -452736.889172] AUTODETECT spr round 3 (radius: 15)
[07:33:02 -406990.524397] AUTODETECT spr round 4 (radius: 20)
[07:36:08 -377478.650589] AUTODETECT spr round 5 (radius: 25)
[07:39:15 -364483.584149] SPR radius for FAST iterations: 25 (autodetect)
[07:39:15 -364483.584149] Model parameter optimization (eps = 3.000000)
[07:39:31 -364390.131497] FAST spr round 1 (radius: 25)
[07:41:59 -302182.968963] FAST spr round 2 (radius: 25)
[07:43:50 -300211.653546] FAST spr round 3 (radius: 25)
[07:45:31 -300032.406663] FAST spr round 4 (radius: 25)
[07:47:00 -300011.446625] FAST spr round 5 (radius: 25)
[07:48:23 -300011.446350] Model parameter optimization (eps = 1.000000)
[07:48:39 -300008.669387] SLOW spr round 1 (radius: 5)
[07:50:45 -299919.190150] SLOW spr round 2 (radius: 5)
[07:52:42 -299917.363492] SLOW spr round 3 (radius: 5)
[07:54:33 -299912.497553] SLOW spr round 4 (radius: 5)
[07:56:22 -299912.497403] SLOW spr round 5 (radius: 10)
[07:58:14 -299911.711265] SLOW spr round 6 (radius: 5)
[08:00:32 -299911.711221] SLOW spr round 7 (radius: 10)
[08:02:36 -299911.711221] SLOW spr round 8 (radius: 15)
[08:05:30 -299911.711221] SLOW spr round 9 (radius: 20)
[08:10:16 -299911.711221] SLOW spr round 10 (radius: 25)
[08:16:00 -299911.711221] Model parameter optimization (eps = 0.100000)

[08:16:04] ML tree search #10, logLikelihood: -299911.635721

[08:16:04 -967848.941141] Initial branch length optimization
[08:16:08 -825924.981461] Model parameter optimization (eps = 10.000000)
[08:16:34 -823786.706648] AUTODETECT spr round 1 (radius: 5)
[08:18:26 -602225.331682] AUTODETECT spr round 2 (radius: 10)
[08:20:33 -479049.264682] AUTODETECT spr round 3 (radius: 15)
[08:22:53 -413168.224839] AUTODETECT spr round 4 (radius: 20)
[08:25:47 -357456.444683] AUTODETECT spr round 5 (radius: 25)
[08:28:44 -349258.488391] SPR radius for FAST iterations: 25 (autodetect)
[08:28:44 -349258.488391] Model parameter optimization (eps = 3.000000)
[08:28:51 -349254.103440] FAST spr round 1 (radius: 25)
[08:31:18 -302370.250956] FAST spr round 2 (radius: 25)
[08:33:12 -300312.896210] FAST spr round 3 (radius: 25)
[08:34:53 -300140.693792] FAST spr round 4 (radius: 25)
[08:36:22 -300109.479713] FAST spr round 5 (radius: 25)
[08:37:46 -300109.479053] Model parameter optimization (eps = 1.000000)
[08:38:00 -300012.933107] SLOW spr round 1 (radius: 5)
[08:40:04 -299926.283998] SLOW spr round 2 (radius: 5)
[08:41:57 -299916.290399] SLOW spr round 3 (radius: 5)
[08:43:45 -299916.277062] SLOW spr round 4 (radius: 10)
[08:45:35 -299916.277043] SLOW spr round 5 (radius: 15)
[08:48:38 -299916.277043] SLOW spr round 6 (radius: 20)
[08:53:00 -299916.277043] SLOW spr round 7 (radius: 25)
[08:58:24 -299916.277043] Model parameter optimization (eps = 0.100000)

[08:58:32] ML tree search #11, logLikelihood: -299916.175811

[08:58:32 -969853.519964] Initial branch length optimization
[08:58:36 -827989.890367] Model parameter optimization (eps = 10.000000)
[08:58:58 -825796.614295] AUTODETECT spr round 1 (radius: 5)
[09:00:47 -607224.760774] AUTODETECT spr round 2 (radius: 10)
[09:02:56 -453046.647095] AUTODETECT spr round 3 (radius: 15)
[09:05:16 -387369.427463] AUTODETECT spr round 4 (radius: 20)
[09:07:44 -357147.953108] AUTODETECT spr round 5 (radius: 25)
[09:10:21 -348171.085770] SPR radius for FAST iterations: 25 (autodetect)
[09:10:21 -348171.085770] Model parameter optimization (eps = 3.000000)
[09:10:37 -348052.562042] FAST spr round 1 (radius: 25)
[09:13:00 -301267.124942] FAST spr round 2 (radius: 25)
[09:14:48 -300109.574710] FAST spr round 3 (radius: 25)
[09:16:26 -300026.923114] FAST spr round 4 (radius: 25)
[09:17:52 -300009.313735] FAST spr round 5 (radius: 25)
[09:19:19 -299999.801814] FAST spr round 6 (radius: 25)
[09:20:40 -299999.801813] Model parameter optimization (eps = 1.000000)
[09:20:50 -299997.681177] SLOW spr round 1 (radius: 5)
[09:22:52 -299914.731796] SLOW spr round 2 (radius: 5)
[09:24:44 -299910.393988] SLOW spr round 3 (radius: 5)
[09:26:33 -299908.239459] SLOW spr round 4 (radius: 5)
[09:28:20 -299908.239397] SLOW spr round 5 (radius: 10)
[09:30:11 -299908.239396] SLOW spr round 6 (radius: 15)
[09:33:11 -299908.239395] SLOW spr round 7 (radius: 20)
[09:37:27 -299908.239395] SLOW spr round 8 (radius: 25)
[09:42:52 -299908.239395] Model parameter optimization (eps = 0.100000)

[09:42:57] ML tree search #12, logLikelihood: -299908.218815

[09:42:57 -970363.711544] Initial branch length optimization
[09:43:02 -828188.802986] Model parameter optimization (eps = 10.000000)
[09:43:28 -826222.962909] AUTODETECT spr round 1 (radius: 5)
[09:45:17 -593428.498419] AUTODETECT spr round 2 (radius: 10)
[09:47:33 -448624.781424] AUTODETECT spr round 3 (radius: 15)
[09:49:54 -394986.289219] AUTODETECT spr round 4 (radius: 20)
[09:52:30 -381853.398326] AUTODETECT spr round 5 (radius: 25)
[09:55:18 -373729.283458] SPR radius for FAST iterations: 25 (autodetect)
[09:55:18 -373729.283458] Model parameter optimization (eps = 3.000000)
[09:55:25 -373722.082127] FAST spr round 1 (radius: 25)
[09:58:14 -305941.050468] FAST spr round 2 (radius: 25)
[10:00:17 -300523.619214] FAST spr round 3 (radius: 25)
[10:02:01 -300123.391302] FAST spr round 4 (radius: 25)
[10:03:34 -300108.527691] FAST spr round 5 (radius: 25)
[10:05:04 -300108.527387] Model parameter optimization (eps = 1.000000)
[10:05:08 -300108.492189] SLOW spr round 1 (radius: 5)
[10:07:24 -299989.346554] SLOW spr round 2 (radius: 5)
[10:09:30 -299984.127873] SLOW spr round 3 (radius: 5)
[10:11:29 -299983.313096] SLOW spr round 4 (radius: 5)
[10:13:23 -299983.313076] SLOW spr round 5 (radius: 10)
[10:15:22 -299983.313076] SLOW spr round 6 (radius: 15)
[10:18:40 -299983.313076] SLOW spr round 7 (radius: 20)
[10:23:29 -299983.313076] SLOW spr round 8 (radius: 25)
[10:29:30 -299983.313076] Model parameter optimization (eps = 0.100000)

[10:29:33] ML tree search #13, logLikelihood: -299983.292371

[10:29:33 -969871.153466] Initial branch length optimization
[10:29:37 -830099.064730] Model parameter optimization (eps = 10.000000)
[10:30:03 -828076.620474] AUTODETECT spr round 1 (radius: 5)
[10:31:56 -595979.695224] AUTODETECT spr round 2 (radius: 10)
[10:34:05 -473056.053744] AUTODETECT spr round 3 (radius: 15)
[10:36:30 -399994.241191] AUTODETECT spr round 4 (radius: 20)
[10:39:07 -380060.632855] AUTODETECT spr round 5 (radius: 25)
[10:42:20 -351023.339500] SPR radius for FAST iterations: 25 (autodetect)
[10:42:20 -351023.339500] Model parameter optimization (eps = 3.000000)
[10:42:28 -351004.375330] FAST spr round 1 (radius: 25)
[10:45:03 -301703.366960] FAST spr round 2 (radius: 25)
[10:46:55 -300172.755815] FAST spr round 3 (radius: 25)
[10:48:39 -300067.008447] FAST spr round 4 (radius: 25)
[10:50:07 -300057.780920] FAST spr round 5 (radius: 25)
[10:51:33 -300054.382020] FAST spr round 6 (radius: 25)
[10:52:57 -300054.382007] Model parameter optimization (eps = 1.000000)
[10:53:16 -299993.517950] SLOW spr round 1 (radius: 5)
[10:55:24 -299941.082704] SLOW spr round 2 (radius: 5)
[10:57:19 -299940.545183] SLOW spr round 3 (radius: 5)
[10:59:12 -299940.545154] SLOW spr round 4 (radius: 10)
[11:01:05 -299940.545154] SLOW spr round 5 (radius: 15)
[11:04:12 -299940.545154] SLOW spr round 6 (radius: 20)
[11:08:52 -299940.545154] SLOW spr round 7 (radius: 25)
[11:14:42 -299940.545154] Model parameter optimization (eps = 0.100000)

[11:14:50] ML tree search #14, logLikelihood: -299940.364055

[11:14:50 -969332.705061] Initial branch length optimization
[11:14:54 -830808.584226] Model parameter optimization (eps = 10.000000)
[11:15:22 -828748.250778] AUTODETECT spr round 1 (radius: 5)
[11:17:17 -591510.342172] AUTODETECT spr round 2 (radius: 10)
[11:19:29 -449725.849889] AUTODETECT spr round 3 (radius: 15)
[11:21:59 -398750.582204] AUTODETECT spr round 4 (radius: 20)
[11:24:54 -351491.239452] AUTODETECT spr round 5 (radius: 25)
[11:27:49 -345844.327528] SPR radius for FAST iterations: 25 (autodetect)
[11:27:49 -345844.327528] Model parameter optimization (eps = 3.000000)
[11:28:06 -345758.723894] FAST spr round 1 (radius: 25)
[11:30:28 -302402.162060] FAST spr round 2 (radius: 25)
[11:32:20 -300231.396654] FAST spr round 3 (radius: 25)
[11:34:00 -300008.684138] FAST spr round 4 (radius: 25)
[11:35:29 -299996.589195] FAST spr round 5 (radius: 25)
[11:36:54 -299996.589186] Model parameter optimization (eps = 1.000000)
[11:37:02 -299996.407230] SLOW spr round 1 (radius: 5)
[11:39:09 -299925.795203] SLOW spr round 2 (radius: 5)
[11:41:05 -299918.270675] SLOW spr round 3 (radius: 5)
[11:42:57 -299918.166052] SLOW spr round 4 (radius: 5)
[11:44:48 -299918.166035] SLOW spr round 5 (radius: 10)
[11:46:41 -299918.166035] SLOW spr round 6 (radius: 15)
[11:49:47 -299918.166035] SLOW spr round 7 (radius: 20)
[11:54:18 -299918.166035] SLOW spr round 8 (radius: 25)
[12:00:03 -299918.166035] Model parameter optimization (eps = 0.100000)

[12:00:11] ML tree search #15, logLikelihood: -299918.013093

[12:00:12 -974143.423838] Initial branch length optimization
[12:00:17 -834986.582610] Model parameter optimization (eps = 10.000000)
[12:00:58 -832571.662572] AUTODETECT spr round 1 (radius: 5)
[12:02:52 -599256.281847] AUTODETECT spr round 2 (radius: 10)
[12:05:08 -437996.727349] AUTODETECT spr round 3 (radius: 15)
[12:07:35 -381352.642911] AUTODETECT spr round 4 (radius: 20)
[12:10:10 -344573.984082] AUTODETECT spr round 5 (radius: 25)
[12:12:43 -338246.981189] SPR radius for FAST iterations: 25 (autodetect)
[12:12:43 -338246.981189] Model parameter optimization (eps = 3.000000)
[12:13:03 -338197.656630] FAST spr round 1 (radius: 25)
[12:15:26 -301414.304506] FAST spr round 2 (radius: 25)
[12:17:17 -300183.890707] FAST spr round 3 (radius: 25)
[12:18:59 -300076.277773] FAST spr round 4 (radius: 25)
[12:20:31 -300059.975190] FAST spr round 5 (radius: 25)
[12:21:58 -300059.974344] Model parameter optimization (eps = 1.000000)
[12:22:21 -300054.324588] SLOW spr round 1 (radius: 5)
[12:24:30 -299948.036869] SLOW spr round 2 (radius: 5)
[12:26:31 -299926.697294] SLOW spr round 3 (radius: 5)
[12:28:27 -299923.812259] SLOW spr round 4 (radius: 5)
[12:30:19 -299923.812184] SLOW spr round 5 (radius: 10)
[12:32:14 -299923.812184] SLOW spr round 6 (radius: 15)
[12:35:23 -299923.812184] SLOW spr round 7 (radius: 20)
[12:39:47 -299923.812184] SLOW spr round 8 (radius: 25)
[12:45:18 -299923.812184] Model parameter optimization (eps = 0.100000)

[12:45:25] ML tree search #16, logLikelihood: -299923.623495

[12:45:25 -976506.877070] Initial branch length optimization
[12:45:30 -830781.718429] Model parameter optimization (eps = 10.000000)
[12:45:58 -828498.526702] AUTODETECT spr round 1 (radius: 5)
[12:47:53 -617209.788643] AUTODETECT spr round 2 (radius: 10)
[12:50:04 -471679.250374] AUTODETECT spr round 3 (radius: 15)
[12:52:21 -394738.948001] AUTODETECT spr round 4 (radius: 20)
[12:54:45 -357256.072681] AUTODETECT spr round 5 (radius: 25)
[12:57:30 -344815.477181] SPR radius for FAST iterations: 25 (autodetect)
[12:57:30 -344815.477181] Model parameter optimization (eps = 3.000000)
[12:57:46 -344675.474539] FAST spr round 1 (radius: 25)
[13:00:12 -301239.714234] FAST spr round 2 (radius: 25)
[13:02:03 -300097.808220] FAST spr round 3 (radius: 25)
[13:03:42 -300023.351978] FAST spr round 4 (radius: 25)
[13:05:11 -300015.708388] FAST spr round 5 (radius: 25)
[13:06:36 -300015.708108] Model parameter optimization (eps = 1.000000)
[13:06:44 -300015.322790] SLOW spr round 1 (radius: 5)
[13:08:53 -299951.421837] SLOW spr round 2 (radius: 5)
[13:10:54 -299940.525695] SLOW spr round 3 (radius: 5)
[13:12:47 -299939.490629] SLOW spr round 4 (radius: 5)
[13:14:36 -299939.490570] SLOW spr round 5 (radius: 10)
[13:16:30 -299939.490567] SLOW spr round 6 (radius: 15)
[13:19:41 -299939.490567] SLOW spr round 7 (radius: 20)
[13:24:17 -299939.490566] SLOW spr round 8 (radius: 25)
[13:29:56 -299939.490566] Model parameter optimization (eps = 0.100000)

[13:30:07] ML tree search #17, logLikelihood: -299939.187538

[13:30:07 -969029.000396] Initial branch length optimization
[13:30:11 -829956.130598] Model parameter optimization (eps = 10.000000)
[13:30:40 -828030.843200] AUTODETECT spr round 1 (radius: 5)
[13:32:35 -594826.686686] AUTODETECT spr round 2 (radius: 10)
[13:34:52 -447537.006859] AUTODETECT spr round 3 (radius: 15)
[13:37:18 -395799.702451] AUTODETECT spr round 4 (radius: 20)
[13:39:56 -347927.050491] AUTODETECT spr round 5 (radius: 25)
[13:42:56 -344315.625513] SPR radius for FAST iterations: 25 (autodetect)
[13:42:56 -344315.625513] Model parameter optimization (eps = 3.000000)
[13:43:04 -344308.159671] FAST spr round 1 (radius: 25)
[13:45:40 -302023.199013] FAST spr round 2 (radius: 25)
[13:47:39 -300213.487467] FAST spr round 3 (radius: 25)
[13:49:24 -300116.046224] FAST spr round 4 (radius: 25)
[13:50:55 -300113.199627] FAST spr round 5 (radius: 25)
[13:52:23 -300113.199600] Model parameter optimization (eps = 1.000000)
[13:52:42 -300061.290096] SLOW spr round 1 (radius: 5)
[13:54:51 -299949.435413] SLOW spr round 2 (radius: 5)
[13:56:49 -299930.586288] SLOW spr round 3 (radius: 5)
[13:58:39 -299930.586273] SLOW spr round 4 (radius: 10)
[14:00:31 -299930.586273] SLOW spr round 5 (radius: 15)
[14:03:38 -299930.586273] SLOW spr round 6 (radius: 20)
[14:08:29 -299930.586273] SLOW spr round 7 (radius: 25)
[14:14:30 -299930.586273] Model parameter optimization (eps = 0.100000)

[14:14:34] ML tree search #18, logLikelihood: -299930.529059

[14:14:34 -968499.765334] Initial branch length optimization
[14:14:38 -830425.174701] Model parameter optimization (eps = 10.000000)
[14:15:06 -828554.872425] AUTODETECT spr round 1 (radius: 5)
[14:17:01 -590306.973012] AUTODETECT spr round 2 (radius: 10)
[14:19:14 -435746.172900] AUTODETECT spr round 3 (radius: 15)
[14:21:35 -383941.157530] AUTODETECT spr round 4 (radius: 20)
[14:24:00 -355390.170567] AUTODETECT spr round 5 (radius: 25)
[14:26:58 -345605.305524] SPR radius for FAST iterations: 25 (autodetect)
[14:26:58 -345605.305524] Model parameter optimization (eps = 3.000000)
[14:27:17 -345527.247061] FAST spr round 1 (radius: 25)
[14:29:44 -301800.503741] FAST spr round 2 (radius: 25)
[14:31:36 -300155.282665] FAST spr round 3 (radius: 25)
[14:33:17 -300032.670945] FAST spr round 4 (radius: 25)
[14:34:49 -300012.972290] FAST spr round 5 (radius: 25)
[14:36:15 -300011.154708] FAST spr round 6 (radius: 25)
[14:37:40 -300011.154594] Model parameter optimization (eps = 1.000000)
[14:37:54 -300007.410037] SLOW spr round 1 (radius: 5)
[14:39:59 -299925.729911] SLOW spr round 2 (radius: 5)
[14:41:55 -299923.525742] SLOW spr round 3 (radius: 5)
[14:43:48 -299923.525548] SLOW spr round 4 (radius: 10)
[14:45:43 -299923.525546] SLOW spr round 5 (radius: 15)
[14:48:49 -299923.525545] SLOW spr round 6 (radius: 20)
[14:53:11 -299923.525545] SLOW spr round 7 (radius: 25)
[14:58:37 -299923.525545] Model parameter optimization (eps = 0.100000)

[14:58:45] ML tree search #19, logLikelihood: -299923.236467

[14:58:45 -970411.789698] Initial branch length optimization
[14:58:49 -826304.829029] Model parameter optimization (eps = 10.000000)
[14:59:18 -824146.505044] AUTODETECT spr round 1 (radius: 5)
[15:01:13 -603478.538685] AUTODETECT spr round 2 (radius: 10)
[15:03:30 -454473.509266] AUTODETECT spr round 3 (radius: 15)
[15:05:56 -418704.271864] AUTODETECT spr round 4 (radius: 20)
[15:08:51 -384183.634831] AUTODETECT spr round 5 (radius: 25)
[15:11:59 -357995.700837] SPR radius for FAST iterations: 25 (autodetect)
[15:11:59 -357995.700837] Model parameter optimization (eps = 3.000000)
[15:12:22 -357894.261844] FAST spr round 1 (radius: 25)
[15:15:01 -302758.797778] FAST spr round 2 (radius: 25)
[15:17:05 -300323.290210] FAST spr round 3 (radius: 25)
[15:18:54 -300089.690661] FAST spr round 4 (radius: 25)
[15:20:30 -300073.525652] FAST spr round 5 (radius: 25)
[15:21:59 -300071.232307] FAST spr round 6 (radius: 25)
[15:23:27 -300071.232305] Model parameter optimization (eps = 1.000000)
[15:23:39 -300069.690376] SLOW spr round 1 (radius: 5)
[15:25:48 -299949.738576] SLOW spr round 2 (radius: 5)
[15:27:47 -299938.167677] SLOW spr round 3 (radius: 5)
[15:29:40 -299938.137186] SLOW spr round 4 (radius: 10)
[15:31:35 -299938.137175] SLOW spr round 5 (radius: 15)
[15:34:42 -299938.137175] SLOW spr round 6 (radius: 20)
[15:39:18 -299938.137175] SLOW spr round 7 (radius: 25)
[15:45:05 -299938.137175] Model parameter optimization (eps = 0.100000)

[15:45:10] ML tree search #20, logLikelihood: -299938.106333


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.212290,0.256490) (0.283201,0.431264) (0.281227,1.099103) (0.223282,2.303442) 
   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: -299905.050502

AIC score: 603820.101005 / AICc score: 8647880.101005 / BIC score: 612632.600509
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=599).
         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/O00411/3_mltree/O00411.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O00411/3_mltree/O00411.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O00411/3_mltree/O00411.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O00411/3_mltree/O00411.raxml.log

Analysis started: 30-Jun-2021 21:57:54 / finished: 01-Jul-2021 13:43:05

Elapsed time: 56710.776 seconds

Consumed energy: 5227.302 Wh (= 26 km in an electric car, or 131 km with an e-scooter!)