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 07-Jul-2021 11:10:26 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q01433/2_msa/Q01433_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q01433/3_mltree/Q01433 --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/Q01433/2_msa/Q01433_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 586 sites

WARNING: Sequences tr_A0A2I3HYP7_A0A2I3HYP7_NOMLE_61853 and tr_H2Q364_H2Q364_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A2I3HYP7_A0A2I3HYP7_NOMLE_61853 and tr_A0A2R9AEV2_A0A2R9AEV2_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G1QS94_G1QS94_NOMLE_61853 and tr_G3RBY5_G3RBY5_GORGO_9595 are exactly identical!
WARNING: Sequences tr_G1QS94_G1QS94_NOMLE_61853 and tr_A0A2J8UMH1_A0A2J8UMH1_PONAB_9601 are exactly identical!
WARNING: Sequences tr_G1QS94_G1QS94_NOMLE_61853 and tr_K7C1I3_K7C1I3_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G1QS94_G1QS94_NOMLE_61853 and sp_Q01433_AMPD2_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G1QS94_G1QS94_NOMLE_61853 and tr_A0A2K5M2N7_A0A2K5M2N7_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G1QS94_G1QS94_NOMLE_61853 and tr_A0A2K6CVV6_A0A2K6CVV6_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G1QS94_G1QS94_NOMLE_61853 and tr_A0A2K5ZG95_A0A2K5ZG95_MANLE_9568 are exactly identical!
WARNING: Sequences tr_G1QS94_G1QS94_NOMLE_61853 and tr_A0A2R9A068_A0A2R9A068_PANPA_9597 are exactly identical!
WARNING: Sequences tr_J3KL17_J3KL17_COCIM_246410 and tr_A0A0J7BHP7_A0A0J7BHP7_COCIT_404692 are exactly identical!
WARNING: Sequences tr_B6QMJ1_B6QMJ1_TALMQ_441960 and tr_A0A093XJC0_A0A093XJC0_TALMA_1077442 are exactly identical!
WARNING: Sequences tr_F5HH09_F5HH09_NEUCR_367110 and tr_G4U5K7_G4U5K7_NEUT9_510952 are exactly identical!
WARNING: Sequences tr_A0A179U5Y3_A0A179U5Y3_BLAGS_559298 and tr_C5GVA8_C5GVA8_AJEDR_559297 are exactly identical!
WARNING: Sequences tr_F9FEA6_F9FEA6_FUSOF_660025 and tr_X0D2V0_X0D2V0_FUSOX_1089458 are exactly identical!
WARNING: Sequences tr_F9FEA6_F9FEA6_FUSOF_660025 and tr_A0A2H3TEF8_A0A2H3TEF8_FUSOX_5507 are exactly identical!
WARNING: Sequences tr_F9FEA6_F9FEA6_FUSOF_660025 and tr_A0A2H3HTX4_A0A2H3HTX4_FUSOX_327505 are exactly identical!
WARNING: Sequences tr_E9ELS0_E9ELS0_METRA_655844 and tr_A0A0B4HW58_A0A0B4HW58_METMF_1276143 are exactly identical!
WARNING: Sequences tr_E9ELS0_E9ELS0_METRA_655844 and tr_A0A0D9PBV3_A0A0D9PBV3_METAN_1291518 are exactly identical!
WARNING: Sequences tr_C6HAW7_C6HAW7_AJECH_544712 and tr_F0UD27_F0UD27_AJEC8_544711 are exactly identical!
WARNING: Sequences tr_Q2TVX8_Q2TVX8_ASPOR_510516 and tr_A0A1S9DFN5_A0A1S9DFN5_ASPOZ_5062 are exactly identical!
WARNING: Sequences tr_A0A0E0I627_A0A0E0I627_ORYNI_4536 and tr_A0A0E0QD40_A0A0E0QD40_ORYRU_4529 are exactly identical!
WARNING: Sequences tr_A2QHI4_A2QHI4_ASPNC_425011 and tr_A0A318ZU42_A0A318ZU42_9EURO_1450533 are exactly identical!
WARNING: Sequences tr_F6VAM7_F6VAM7_MACMU_9544 and tr_G7NW83_G7NW83_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F6VAM7_F6VAM7_MACMU_9544 and tr_A0A2I3N612_A0A2I3N612_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F6VAM7_F6VAM7_MACMU_9544 and tr_A0A0D9S681_A0A0D9S681_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_F6VAM7_F6VAM7_MACMU_9544 and tr_A0A2K5MLK9_A0A2K5MLK9_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F6VAM7_F6VAM7_MACMU_9544 and tr_A0A2K6DGQ7_A0A2K6DGQ7_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7AVX9_F7AVX9_MACMU_9544 and tr_A0A096MWG2_A0A096MWG2_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F7AVX9_F7AVX9_MACMU_9544 and tr_A0A2K5N362_A0A2K5N362_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F7AVX9_F7AVX9_MACMU_9544 and tr_A0A2K6E2L0_A0A2K6E2L0_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G7XV63_G7XV63_ASPKW_1033177 and tr_A0A146FWT7_A0A146FWT7_9EURO_1069201 are exactly identical!
WARNING: Sequences tr_A2YQ78_A2YQ78_ORYSI_39946 and sp_Q84NP7_AMPD_ORYSJ_39947 are exactly identical!
WARNING: Sequences tr_I1QDI1_I1QDI1_ORYGL_4538 and tr_A0A0D3GVB3_A0A0D3GVB3_9ORYZ_65489 are exactly identical!
WARNING: Sequences tr_G2Y3S5_G2Y3S5_BOTF4_999810 and tr_M7UW76_M7UW76_BOTF1_1290391 are exactly identical!
WARNING: Sequences tr_M4CLN9_M4CLN9_BRARP_51351 and tr_A0A0D3BQZ1_A0A0D3BQZ1_BRAOL_109376 are exactly identical!
WARNING: Sequences tr_S0DM61_S0DM61_GIBF5_1279085 and tr_A0A2K0VU92_A0A2K0VU92_GIBNY_42673 are exactly identical!
WARNING: Sequences tr_U5H722_U5H722_USTV1_683840 and tr_A0A2X0MYV2_A0A2X0MYV2_9BASI_796604 are exactly identical!
WARNING: Sequences tr_W2R7V8_W2R7V8_PHYPN_761204 and tr_A0A0W8C3X5_A0A0W8C3X5_PHYNI_4790 are exactly identical!
WARNING: Sequences tr_W2R7V8_W2R7V8_PHYPN_761204 and tr_W2KS02_W2KS02_PHYPR_4792 are exactly identical!
WARNING: Sequences tr_A0A3B6AR54_A0A3B6AR54_WHEAT_4565 and tr_A0A3B6BZK6_A0A3B6BZK6_WHEAT_4565 are exactly identical!
WARNING: Sequences tr_A0A3B6AR54_A0A3B6AR54_WHEAT_4565 and tr_A0A3B6D6Y6_A0A3B6D6Y6_WHEAT_4565 are exactly identical!
WARNING: Sequences tr_A0A015K9U0_A0A015K9U0_9GLOM_1432141 and tr_A0A2H5TIS7_A0A2H5TIS7_RHIID_747089 are exactly identical!
WARNING: Sequences tr_A0A078JCN9_A0A078JCN9_BRANA_3708 and tr_A0A0D3C4Y2_A0A0D3C4Y2_BRAOL_109376 are exactly identical!
WARNING: Sequences tr_A0A094ETE5_A0A094ETE5_9PEZI_1420912 and tr_A0A1B8GAQ3_A0A1B8GAQ3_9PEZI_342668 are exactly identical!
WARNING: Sequences tr_W4K7V6_W4K7V6_9HOMO_747525 and tr_W4K831_W4K831_9HOMO_747525 are exactly identical!
WARNING: Sequences tr_W6YIL9_W6YIL9_COCCA_930089 and tr_W6YSR6_W6YSR6_COCMI_930090 are exactly identical!
WARNING: Sequences tr_A0A0V1DC70_A0A0V1DC70_TRIBR_45882 and tr_A0A0V0X121_A0A0V0X121_9BILA_92179 are exactly identical!
WARNING: Sequences tr_A0A0V1DC70_A0A0V1DC70_TRIBR_45882 and tr_A0A0V0UXH0_A0A0V0UXH0_9BILA_181606 are exactly identical!
WARNING: Sequences tr_A0A0V1DC70_A0A0V1DC70_TRIBR_45882 and tr_A0A0V1LK06_A0A0V1LK06_9BILA_6335 are exactly identical!
WARNING: Sequences tr_A0A0V1DC70_A0A0V1DC70_TRIBR_45882 and tr_A0A0V1P611_A0A0V1P611_9BILA_92180 are exactly identical!
WARNING: Sequences tr_A0A0V1DC70_A0A0V1DC70_TRIBR_45882 and tr_A0A0V0TWD1_A0A0V0TWD1_9BILA_144512 are exactly identical!
WARNING: Sequences tr_A0A100ITR9_A0A100ITR9_ASPNG_5061 and tr_A0A1L9NIW4_A0A1L9NIW4_ASPTU_767770 are exactly identical!
WARNING: Sequences tr_A0A1I7U8K5_A0A1I7U8K5_9PELO_1561998 and tr_A0A1I7U8K6_A0A1I7U8K6_9PELO_1561998 are exactly identical!
WARNING: Sequences tr_A0A226MX47_A0A226MX47_CALSU_9009 and tr_A0A226PKD7_A0A226PKD7_COLVI_9014 are exactly identical!
WARNING: Sequences tr_A0A2H3CEG1_A0A2H3CEG1_9AGAR_1076256 and tr_A0A284RGD7_A0A284RGD7_9AGAR_47428 are exactly identical!
WARNING: Sequences tr_A0A2D0QZR5_A0A2D0QZR5_ICTPU_7998 and tr_A0A2D0R272_A0A2D0R272_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0QZT1_A0A2D0QZT1_ICTPU_7998 and tr_A0A2D0R1B1_A0A2D0R1B1_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0QZT1_A0A2D0QZT1_ICTPU_7998 and tr_A0A2D0R205_A0A2D0R205_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0RS87_A0A2D0RS87_ICTPU_7998 and tr_A0A2D0RT64_A0A2D0RT64_ICTPU_7998 are exactly identical!
WARNING: Duplicate sequences found: 60

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/Q01433/3_mltree/Q01433.raxml.reduced.phy

Alignment comprises 1 partitions and 586 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 586 / 586
Gaps: 1.11 %
Invariant sites: 4.44 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q01433/3_mltree/Q01433.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 / 84 / 6720
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -739823.860164] Initial branch length optimization
[00:00:03 -633616.671011] Model parameter optimization (eps = 10.000000)
[00:00:29 -632534.933123] AUTODETECT spr round 1 (radius: 5)
[00:02:12 -397866.042313] AUTODETECT spr round 2 (radius: 10)
[00:04:04 -277507.479275] AUTODETECT spr round 3 (radius: 15)
[00:06:06 -208981.193151] AUTODETECT spr round 4 (radius: 20)
[00:09:13 -191857.534560] AUTODETECT spr round 5 (radius: 25)
[00:14:01 -187897.529291] SPR radius for FAST iterations: 25 (autodetect)
[00:14:02 -187897.529291] Model parameter optimization (eps = 3.000000)
[00:14:42 -187808.288551] FAST spr round 1 (radius: 25)
[00:18:11 -161999.983077] FAST spr round 2 (radius: 25)
[00:20:56 -161142.901647] FAST spr round 3 (radius: 25)
[00:23:28 -161089.127768] FAST spr round 4 (radius: 25)
[00:25:40 -161074.862989] FAST spr round 5 (radius: 25)
[00:26:57 -161068.541310] FAST spr round 6 (radius: 25)
[00:28:12 -161068.541254] Model parameter optimization (eps = 1.000000)
[00:28:21 -161066.342522] SLOW spr round 1 (radius: 5)
[00:30:03 -161027.925731] SLOW spr round 2 (radius: 5)
[00:31:41 -161021.199607] SLOW spr round 3 (radius: 5)
[00:33:19 -161021.198961] SLOW spr round 4 (radius: 10)
[00:35:42 -161019.785343] SLOW spr round 5 (radius: 5)
[00:37:46 -161019.785323] SLOW spr round 6 (radius: 10)
[00:39:34 -161019.785322] SLOW spr round 7 (radius: 15)
[00:41:54 -161019.785322] SLOW spr round 8 (radius: 20)
[00:45:43 -161019.785322] SLOW spr round 9 (radius: 25)
[00:50:54 -161019.785322] Model parameter optimization (eps = 0.100000)

[00:51:01] ML tree search #1, logLikelihood: -161019.573152

[00:51:01 -734492.541271] Initial branch length optimization
[00:51:05 -629729.017794] Model parameter optimization (eps = 10.000000)
[00:51:28 -628736.667646] AUTODETECT spr round 1 (radius: 5)
[00:53:16 -387398.992468] AUTODETECT spr round 2 (radius: 10)
[00:55:14 -269185.201874] AUTODETECT spr round 3 (radius: 15)
[00:57:18 -221991.263450] AUTODETECT spr round 4 (radius: 20)
[00:59:45 -191031.804016] AUTODETECT spr round 5 (radius: 25)
[01:02:31 -188544.646875] SPR radius for FAST iterations: 25 (autodetect)
[01:02:32 -188544.646875] Model parameter optimization (eps = 3.000000)
[01:03:06 -188497.692405] FAST spr round 1 (radius: 25)
[01:05:06 -162451.174423] FAST spr round 2 (radius: 25)
[01:06:46 -161188.304445] FAST spr round 3 (radius: 25)
[01:08:13 -161087.206361] FAST spr round 4 (radius: 25)
[01:09:36 -161070.732746] FAST spr round 5 (radius: 25)
[01:10:55 -161067.701355] FAST spr round 6 (radius: 25)
[01:12:13 -161067.701169] Model parameter optimization (eps = 1.000000)
[01:12:26 -161060.612766] SLOW spr round 1 (radius: 5)
[01:14:18 -161027.932068] SLOW spr round 2 (radius: 5)
[01:16:03 -161023.281265] SLOW spr round 3 (radius: 5)
[01:17:46 -161020.950897] SLOW spr round 4 (radius: 5)
[01:19:27 -161020.950847] SLOW spr round 5 (radius: 10)
[01:21:09 -161020.719226] SLOW spr round 6 (radius: 5)
[01:23:17 -161019.127057] SLOW spr round 7 (radius: 5)
[01:25:11 -161019.127026] SLOW spr round 8 (radius: 10)
[01:26:54 -161019.127025] SLOW spr round 9 (radius: 15)
[01:29:26 -161019.127025] SLOW spr round 10 (radius: 20)
[01:33:27 -161019.127025] SLOW spr round 11 (radius: 25)
[01:38:51 -161019.127025] Model parameter optimization (eps = 0.100000)

[01:38:57] ML tree search #2, logLikelihood: -161018.981822

[01:38:57 -736692.088129] Initial branch length optimization
[01:39:02 -630946.056611] Model parameter optimization (eps = 10.000000)
[01:39:29 -629995.362110] AUTODETECT spr round 1 (radius: 5)
[01:41:18 -378903.641803] AUTODETECT spr round 2 (radius: 10)
[01:43:15 -269967.317965] AUTODETECT spr round 3 (radius: 15)
[01:45:15 -229657.076851] AUTODETECT spr round 4 (radius: 20)
[01:47:51 -199276.888735] AUTODETECT spr round 5 (radius: 25)
[01:50:36 -194515.697308] SPR radius for FAST iterations: 25 (autodetect)
[01:50:36 -194515.697308] Model parameter optimization (eps = 3.000000)
[01:51:01 -194455.097639] FAST spr round 1 (radius: 25)
[01:53:01 -162583.333389] FAST spr round 2 (radius: 25)
[01:54:38 -161212.085871] FAST spr round 3 (radius: 25)
[01:56:09 -161109.161659] FAST spr round 4 (radius: 25)
[01:57:31 -161098.685674] FAST spr round 5 (radius: 25)
[01:58:50 -161098.685477] Model parameter optimization (eps = 1.000000)
[01:58:58 -161097.354567] SLOW spr round 1 (radius: 5)
[02:00:50 -161036.058931] SLOW spr round 2 (radius: 5)
[02:02:35 -161029.156946] SLOW spr round 3 (radius: 5)
[02:04:15 -161029.156860] SLOW spr round 4 (radius: 10)
[02:05:57 -161027.511862] SLOW spr round 5 (radius: 5)
[02:08:05 -161025.919806] SLOW spr round 6 (radius: 5)
[02:09:59 -161025.919806] SLOW spr round 7 (radius: 10)
[02:11:43 -161025.919806] SLOW spr round 8 (radius: 15)
[02:14:09 -161025.919806] SLOW spr round 9 (radius: 20)
[02:17:59 -161024.214689] SLOW spr round 10 (radius: 5)
[02:20:18 -161023.856249] SLOW spr round 11 (radius: 5)
[02:22:15 -161022.995026] SLOW spr round 12 (radius: 5)
[02:24:01 -161022.994957] SLOW spr round 13 (radius: 10)
[02:25:42 -161022.702693] SLOW spr round 14 (radius: 5)
[02:27:47 -161022.397388] SLOW spr round 15 (radius: 5)
[02:29:37 -161022.397371] SLOW spr round 16 (radius: 10)
[02:31:19 -161022.397371] SLOW spr round 17 (radius: 15)
[02:33:44 -161020.466901] SLOW spr round 18 (radius: 5)
[02:35:56 -161020.466894] SLOW spr round 19 (radius: 10)
[02:37:51 -161020.466894] SLOW spr round 20 (radius: 15)
[02:40:14 -161020.466894] SLOW spr round 21 (radius: 20)
[02:44:07 -161020.466894] SLOW spr round 22 (radius: 25)
[02:48:33 -161020.466894] Model parameter optimization (eps = 0.100000)

[02:48:40] ML tree search #3, logLikelihood: -161020.238193

[02:48:40 -735150.085242] Initial branch length optimization
[02:48:45 -625927.763287] Model parameter optimization (eps = 10.000000)
[02:49:05 -624809.550738] AUTODETECT spr round 1 (radius: 5)
[02:50:38 -379215.671453] AUTODETECT spr round 2 (radius: 10)
[02:52:22 -251897.942572] AUTODETECT spr round 3 (radius: 15)
[02:54:04 -207172.931530] AUTODETECT spr round 4 (radius: 20)
[02:56:33 -191977.133611] AUTODETECT spr round 5 (radius: 25)
[03:00:15 -187633.314989] SPR radius for FAST iterations: 25 (autodetect)
[03:00:15 -187633.314989] Model parameter optimization (eps = 3.000000)
[03:00:33 -187547.430746] FAST spr round 1 (radius: 25)
[03:02:32 -162429.526184] FAST spr round 2 (radius: 25)
[03:04:09 -161186.460468] FAST spr round 3 (radius: 25)
[03:05:39 -161109.642731] FAST spr round 4 (radius: 25)
[03:07:05 -161103.908231] FAST spr round 5 (radius: 25)
[03:08:28 -161101.842954] FAST spr round 6 (radius: 25)
[03:09:49 -161101.842952] Model parameter optimization (eps = 1.000000)
[03:09:58 -161100.174925] SLOW spr round 1 (radius: 5)
[03:11:47 -161047.047522] SLOW spr round 2 (radius: 5)
[03:13:35 -161031.774076] SLOW spr round 3 (radius: 5)
[03:15:21 -161027.035236] SLOW spr round 4 (radius: 5)
[03:17:06 -161027.035181] SLOW spr round 5 (radius: 10)
[03:18:48 -161023.710014] SLOW spr round 6 (radius: 5)
[03:20:58 -161023.709998] SLOW spr round 7 (radius: 10)
[03:22:49 -161023.709998] SLOW spr round 8 (radius: 15)
[03:25:17 -161023.709998] SLOW spr round 9 (radius: 20)
[03:29:13 -161023.709998] SLOW spr round 10 (radius: 25)
[03:34:24 -161023.709998] Model parameter optimization (eps = 0.100000)

[03:34:32] ML tree search #4, logLikelihood: -161023.587964

[03:34:32 -739435.457767] Initial branch length optimization
[03:34:38 -632991.829088] Model parameter optimization (eps = 10.000000)
[03:34:59 -632077.499351] AUTODETECT spr round 1 (radius: 5)
[03:36:51 -384946.306125] AUTODETECT spr round 2 (radius: 10)
[03:38:53 -262258.110682] AUTODETECT spr round 3 (radius: 15)
[03:41:00 -219910.848414] AUTODETECT spr round 4 (radius: 20)
[03:43:37 -190655.592467] AUTODETECT spr round 5 (radius: 25)
[03:46:07 -187816.411957] SPR radius for FAST iterations: 25 (autodetect)
[03:46:07 -187816.411957] Model parameter optimization (eps = 3.000000)
[03:46:34 -187772.480903] FAST spr round 1 (radius: 25)
[03:48:29 -162087.466765] FAST spr round 2 (radius: 25)
[03:50:07 -161166.941069] FAST spr round 3 (radius: 25)
[03:51:37 -161101.943474] FAST spr round 4 (radius: 25)
[03:53:20 -161088.353909] FAST spr round 5 (radius: 25)
[03:55:04 -161082.099910] FAST spr round 6 (radius: 25)
[03:56:23 -161080.469561] FAST spr round 7 (radius: 25)
[03:57:43 -161080.469522] Model parameter optimization (eps = 1.000000)
[03:57:53 -161077.446610] SLOW spr round 1 (radius: 5)
[04:00:13 -161026.925652] SLOW spr round 2 (radius: 5)
[04:03:17 -161025.510702] SLOW spr round 3 (radius: 5)
[04:05:17 -161025.510540] SLOW spr round 4 (radius: 10)
[04:07:02 -161025.275699] SLOW spr round 5 (radius: 5)
[04:09:15 -161023.682150] SLOW spr round 6 (radius: 5)
[04:11:13 -161023.682096] SLOW spr round 7 (radius: 10)
[04:13:01 -161023.682096] SLOW spr round 8 (radius: 15)
[04:15:34 -161022.049874] SLOW spr round 9 (radius: 5)
[04:17:50 -161022.049836] SLOW spr round 10 (radius: 10)
[04:19:47 -161022.049836] SLOW spr round 11 (radius: 15)
[04:22:15 -161022.049836] SLOW spr round 12 (radius: 20)
[04:26:28 -161022.049836] SLOW spr round 13 (radius: 25)
[04:31:54 -161022.049836] Model parameter optimization (eps = 0.100000)

[04:31:58] ML tree search #5, logLikelihood: -161022.027518

[04:31:58 -734662.299381] Initial branch length optimization
[04:32:05 -629889.503124] Model parameter optimization (eps = 10.000000)
[04:32:29 -628885.727179] AUTODETECT spr round 1 (radius: 5)
[04:34:20 -386554.197119] AUTODETECT spr round 2 (radius: 10)
[04:36:22 -272508.458675] AUTODETECT spr round 3 (radius: 15)
[04:38:31 -218997.158879] AUTODETECT spr round 4 (radius: 20)
[04:40:48 -202934.559281] AUTODETECT spr round 5 (radius: 25)
[04:43:37 -190349.289816] SPR radius for FAST iterations: 25 (autodetect)
[04:43:37 -190349.289816] Model parameter optimization (eps = 3.000000)
[04:43:43 -190344.792898] FAST spr round 1 (radius: 25)
[04:45:43 -162385.779628] FAST spr round 2 (radius: 25)
[04:47:23 -161183.811442] FAST spr round 3 (radius: 25)
[04:48:53 -161104.109245] FAST spr round 4 (radius: 25)
[04:50:17 -161103.947065] FAST spr round 5 (radius: 25)
[04:51:39 -161103.946789] Model parameter optimization (eps = 1.000000)
[04:51:43 -161103.637266] SLOW spr round 1 (radius: 5)
[04:53:39 -161078.076115] SLOW spr round 2 (radius: 5)
[04:55:30 -161074.862655] SLOW spr round 3 (radius: 5)
[04:57:16 -161074.386079] SLOW spr round 4 (radius: 5)
[04:59:00 -161074.386020] SLOW spr round 5 (radius: 10)
[05:00:45 -161074.386020] SLOW spr round 6 (radius: 15)
[05:03:21 -161073.084047] SLOW spr round 7 (radius: 5)
[05:05:38 -161073.084046] SLOW spr round 8 (radius: 10)
[05:07:37 -161073.084046] SLOW spr round 9 (radius: 15)
[05:10:04 -161073.084046] SLOW spr round 10 (radius: 20)
[05:14:11 -161073.084046] SLOW spr round 11 (radius: 25)
[05:19:41 -161073.084046] Model parameter optimization (eps = 0.100000)

[05:19:45] ML tree search #6, logLikelihood: -161073.079724

[05:19:45 -741616.766304] Initial branch length optimization
[05:19:49 -633136.591096] Model parameter optimization (eps = 10.000000)
[05:20:11 -632103.684906] AUTODETECT spr round 1 (radius: 5)
[05:22:00 -392777.584495] AUTODETECT spr round 2 (radius: 10)
[05:24:00 -265758.629144] AUTODETECT spr round 3 (radius: 15)
[05:26:07 -219042.490082] AUTODETECT spr round 4 (radius: 20)
[05:28:42 -193083.872872] AUTODETECT spr round 5 (radius: 25)
[05:31:26 -186903.436523] SPR radius for FAST iterations: 25 (autodetect)
[05:31:26 -186903.436523] Model parameter optimization (eps = 3.000000)
[05:31:47 -186840.696925] FAST spr round 1 (radius: 25)
[05:33:48 -162254.474290] FAST spr round 2 (radius: 25)
[05:35:32 -161190.182324] FAST spr round 3 (radius: 25)
[05:37:06 -161109.591020] FAST spr round 4 (radius: 25)
[05:38:33 -161081.075631] FAST spr round 5 (radius: 25)
[05:39:58 -161074.000057] FAST spr round 6 (radius: 25)
[05:41:22 -161067.936784] FAST spr round 7 (radius: 25)
[05:42:42 -161067.742252] FAST spr round 8 (radius: 25)
[05:44:01 -161066.747125] FAST spr round 9 (radius: 25)
[05:45:20 -161066.747065] Model parameter optimization (eps = 1.000000)
[05:45:31 -161063.357673] SLOW spr round 1 (radius: 5)
[05:47:25 -161029.616266] SLOW spr round 2 (radius: 5)
[05:49:15 -161027.649640] SLOW spr round 3 (radius: 5)
[05:51:01 -161027.649481] SLOW spr round 4 (radius: 10)
[05:52:48 -161026.240121] SLOW spr round 5 (radius: 5)
[05:55:00 -161026.240058] SLOW spr round 6 (radius: 10)
[05:56:55 -161026.240058] SLOW spr round 7 (radius: 15)
[05:59:26 -161026.240058] SLOW spr round 8 (radius: 20)
[06:03:36 -161026.240058] SLOW spr round 9 (radius: 25)
[06:08:56 -161026.240058] Model parameter optimization (eps = 0.100000)

[06:09:02] ML tree search #7, logLikelihood: -161026.142589

[06:09:02 -741448.838316] Initial branch length optimization
[06:09:05 -629450.884814] Model parameter optimization (eps = 10.000000)
[06:09:29 -628503.766132] AUTODETECT spr round 1 (radius: 5)
[06:11:20 -386727.344627] AUTODETECT spr round 2 (radius: 10)
[06:13:20 -270789.805758] AUTODETECT spr round 3 (radius: 15)
[06:15:26 -222623.916810] AUTODETECT spr round 4 (radius: 20)
[06:17:53 -195774.707514] AUTODETECT spr round 5 (radius: 25)
[06:20:24 -191777.501577] SPR radius for FAST iterations: 25 (autodetect)
[06:20:24 -191777.501577] Model parameter optimization (eps = 3.000000)
[06:20:57 -191731.266174] FAST spr round 1 (radius: 25)
[06:22:59 -162203.857405] FAST spr round 2 (radius: 25)
[06:24:38 -161105.432965] FAST spr round 3 (radius: 25)
[06:26:08 -161071.901841] FAST spr round 4 (radius: 25)
[06:27:31 -161063.927790] FAST spr round 5 (radius: 25)
[06:28:51 -161063.927238] Model parameter optimization (eps = 1.000000)
[06:28:57 -161063.579012] SLOW spr round 1 (radius: 5)
[06:30:48 -161023.821547] SLOW spr round 2 (radius: 5)
[06:32:38 -161017.444394] SLOW spr round 3 (radius: 5)
[06:34:21 -161015.623136] SLOW spr round 4 (radius: 5)
[06:36:04 -161015.623103] SLOW spr round 5 (radius: 10)
[06:37:46 -161015.623103] SLOW spr round 6 (radius: 15)
[06:40:18 -161015.623103] SLOW spr round 7 (radius: 20)
[06:44:01 -161015.623103] SLOW spr round 8 (radius: 25)
[06:49:09 -161015.623103] Model parameter optimization (eps = 0.100000)

[06:49:15] ML tree search #8, logLikelihood: -161015.462438

[06:49:16 -745889.805335] Initial branch length optimization
[06:49:19 -634553.130248] Model parameter optimization (eps = 10.000000)
[06:49:40 -633527.554068] AUTODETECT spr round 1 (radius: 5)
[06:51:30 -389912.856352] AUTODETECT spr round 2 (radius: 10)
[06:53:25 -274528.216476] AUTODETECT spr round 3 (radius: 15)
[06:55:29 -222630.741294] AUTODETECT spr round 4 (radius: 20)
[06:57:57 -198710.844066] AUTODETECT spr round 5 (radius: 25)
[07:00:58 -194880.696066] SPR radius for FAST iterations: 25 (autodetect)
[07:00:58 -194880.696066] Model parameter optimization (eps = 3.000000)
[07:01:15 -194813.650693] FAST spr round 1 (radius: 25)
[07:03:13 -162582.628581] FAST spr round 2 (radius: 25)
[07:04:49 -161285.857454] FAST spr round 3 (radius: 25)
[07:06:16 -161115.665711] FAST spr round 4 (radius: 25)
[07:07:40 -161087.283634] FAST spr round 5 (radius: 25)
[07:08:59 -161085.163733] FAST spr round 6 (radius: 25)
[07:10:17 -161085.163657] Model parameter optimization (eps = 1.000000)
[07:10:30 -161080.237448] SLOW spr round 1 (radius: 5)
[07:12:18 -161052.627966] SLOW spr round 2 (radius: 5)
[07:13:58 -161044.897055] SLOW spr round 3 (radius: 5)
[07:15:36 -161044.896742] SLOW spr round 4 (radius: 10)
[07:17:09 -161044.896741] SLOW spr round 5 (radius: 15)
[07:19:27 -161044.896741] SLOW spr round 6 (radius: 20)
[07:22:55 -161044.896741] SLOW spr round 7 (radius: 25)
[07:27:43 -161044.896741] Model parameter optimization (eps = 0.100000)

[07:27:50] ML tree search #9, logLikelihood: -161044.712482

[07:27:50 -737191.851655] Initial branch length optimization
[07:27:55 -629810.765348] Model parameter optimization (eps = 10.000000)
[07:28:20 -628765.170996] AUTODETECT spr round 1 (radius: 5)
[07:30:02 -389516.916297] AUTODETECT spr round 2 (radius: 10)
[07:31:53 -270834.715871] AUTODETECT spr round 3 (radius: 15)
[07:33:48 -227673.653837] AUTODETECT spr round 4 (radius: 20)
[07:35:54 -204431.008657] AUTODETECT spr round 5 (radius: 25)
[07:38:16 -191956.731787] SPR radius for FAST iterations: 25 (autodetect)
[07:38:16 -191956.731787] Model parameter optimization (eps = 3.000000)
[07:38:37 -191895.385933] FAST spr round 1 (radius: 25)
[07:40:31 -162502.398780] FAST spr round 2 (radius: 25)
[07:42:03 -161243.073327] FAST spr round 3 (radius: 25)
[07:43:26 -161107.547003] FAST spr round 4 (radius: 25)
[07:44:42 -161095.774570] FAST spr round 5 (radius: 25)
[07:45:56 -161095.774438] Model parameter optimization (eps = 1.000000)
[07:46:13 -161091.127166] SLOW spr round 1 (radius: 5)
[07:47:56 -161025.384337] SLOW spr round 2 (radius: 5)
[07:49:36 -161014.224062] SLOW spr round 3 (radius: 5)
[07:51:11 -161014.223330] SLOW spr round 4 (radius: 10)
[07:52:46 -161013.940395] SLOW spr round 5 (radius: 5)
[07:54:45 -161013.940337] SLOW spr round 6 (radius: 10)
[07:56:25 -161013.940337] SLOW spr round 7 (radius: 15)
[07:58:38 -161013.940337] SLOW spr round 8 (radius: 20)
[08:02:03 -161013.940337] SLOW spr round 9 (radius: 25)
[08:06:25 -161013.940337] Model parameter optimization (eps = 0.100000)

[08:06:32] ML tree search #10, logLikelihood: -161013.606323

[08:06:32 -733909.472109] Initial branch length optimization
[08:06:36 -628736.762965] Model parameter optimization (eps = 10.000000)
[08:06:56 -627651.684837] AUTODETECT spr round 1 (radius: 5)
[08:08:37 -392172.426715] AUTODETECT spr round 2 (radius: 10)
[08:10:30 -273737.445301] AUTODETECT spr round 3 (radius: 15)
[08:12:23 -228753.507808] AUTODETECT spr round 4 (radius: 20)
[08:14:39 -207504.297378] AUTODETECT spr round 5 (radius: 25)
[08:17:03 -194358.313766] SPR radius for FAST iterations: 25 (autodetect)
[08:17:03 -194358.313766] Model parameter optimization (eps = 3.000000)
[08:17:10 -194350.229331] FAST spr round 1 (radius: 25)
[08:19:06 -162609.736738] FAST spr round 2 (radius: 25)
[08:20:39 -161245.636740] FAST spr round 3 (radius: 25)
[08:22:04 -161135.765775] FAST spr round 4 (radius: 25)
[08:23:21 -161114.783642] FAST spr round 5 (radius: 25)
[08:24:40 -161113.186142] FAST spr round 6 (radius: 25)
[08:25:53 -161113.186141] Model parameter optimization (eps = 1.000000)
[08:26:07 -161085.821837] SLOW spr round 1 (radius: 5)
[08:27:48 -161041.494216] SLOW spr round 2 (radius: 5)
[08:29:26 -161038.588060] SLOW spr round 3 (radius: 5)
[08:31:02 -161038.461721] SLOW spr round 4 (radius: 5)
[08:32:37 -161038.461332] SLOW spr round 5 (radius: 10)
[08:34:12 -161036.519237] SLOW spr round 6 (radius: 5)
[08:36:11 -161036.519216] SLOW spr round 7 (radius: 10)
[08:37:55 -161036.519216] SLOW spr round 8 (radius: 15)
[08:40:08 -161036.519216] SLOW spr round 9 (radius: 20)
[08:43:39 -161036.519216] SLOW spr round 10 (radius: 25)
[08:48:15 -161036.519216] Model parameter optimization (eps = 0.100000)

[08:48:23] ML tree search #11, logLikelihood: -161036.391137

[08:48:23 -734474.099170] Initial branch length optimization
[08:48:27 -629687.665120] Model parameter optimization (eps = 10.000000)
[08:48:49 -628666.527017] AUTODETECT spr round 1 (radius: 5)
[08:50:31 -386210.944437] AUTODETECT spr round 2 (radius: 10)
[08:52:19 -268565.287393] AUTODETECT spr round 3 (radius: 15)
[08:54:12 -228279.839315] AUTODETECT spr round 4 (radius: 20)
[08:56:30 -205357.924343] AUTODETECT spr round 5 (radius: 25)
[08:58:46 -197018.748563] SPR radius for FAST iterations: 25 (autodetect)
[08:58:46 -197018.748563] Model parameter optimization (eps = 3.000000)
[08:59:02 -196941.675356] FAST spr round 1 (radius: 25)
[09:00:50 -162962.307612] FAST spr round 2 (radius: 25)
[09:02:14 -161166.064977] FAST spr round 3 (radius: 25)
[09:03:34 -161055.291697] FAST spr round 4 (radius: 25)
[09:04:51 -161051.185015] FAST spr round 5 (radius: 25)
[09:06:05 -161048.739707] FAST spr round 6 (radius: 25)
[09:07:14 -161048.739686] Model parameter optimization (eps = 1.000000)
[09:07:23 -161047.384782] SLOW spr round 1 (radius: 5)
[09:08:55 -161016.127270] SLOW spr round 2 (radius: 5)
[09:10:27 -161013.113398] SLOW spr round 3 (radius: 5)
[09:11:56 -161013.113260] SLOW spr round 4 (radius: 10)
[09:13:27 -161013.113259] SLOW spr round 5 (radius: 15)
[09:15:46 -161013.113259] SLOW spr round 6 (radius: 20)
[09:19:10 -161013.113259] SLOW spr round 7 (radius: 25)
[09:24:01 -161013.113259] Model parameter optimization (eps = 0.100000)

[09:24:10] ML tree search #12, logLikelihood: -161012.877788

[09:24:10 -737168.046383] Initial branch length optimization
[09:24:13 -630186.690225] Model parameter optimization (eps = 10.000000)
[09:24:37 -629213.261252] AUTODETECT spr round 1 (radius: 5)
[09:26:20 -389868.984037] AUTODETECT spr round 2 (radius: 10)
[09:28:07 -267562.449634] AUTODETECT spr round 3 (radius: 15)
[09:30:02 -210539.074867] AUTODETECT spr round 4 (radius: 20)
[09:32:10 -193157.352523] AUTODETECT spr round 5 (radius: 25)
[09:34:50 -188048.842728] SPR radius for FAST iterations: 25 (autodetect)
[09:34:50 -188048.842728] Model parameter optimization (eps = 3.000000)
[09:35:11 -187976.134852] FAST spr round 1 (radius: 25)
[09:36:57 -162063.221599] FAST spr round 2 (radius: 25)
[09:38:23 -161130.915440] FAST spr round 3 (radius: 25)
[09:39:46 -161074.150141] FAST spr round 4 (radius: 25)
[09:41:01 -161072.557500] FAST spr round 5 (radius: 25)
[09:42:20 -161072.557085] Model parameter optimization (eps = 1.000000)
[09:42:29 -161069.669944] SLOW spr round 1 (radius: 5)
[09:44:10 -161031.891273] SLOW spr round 2 (radius: 5)
[09:45:42 -161028.217118] SLOW spr round 3 (radius: 5)
[09:47:11 -161027.304957] SLOW spr round 4 (radius: 5)
[09:48:40 -161026.773256] SLOW spr round 5 (radius: 5)
[09:50:07 -161026.773213] SLOW spr round 6 (radius: 10)
[09:51:37 -161021.148172] SLOW spr round 7 (radius: 5)
[09:53:30 -161011.521424] SLOW spr round 8 (radius: 5)
[09:55:09 -161011.521360] SLOW spr round 9 (radius: 10)
[09:56:40 -161011.521359] SLOW spr round 10 (radius: 15)
[09:58:47 -161011.521359] SLOW spr round 11 (radius: 20)
[10:02:09 -161011.521359] SLOW spr round 12 (radius: 25)
[10:06:42 -161011.521359] Model parameter optimization (eps = 0.100000)

[10:06:46] ML tree search #13, logLikelihood: -161011.467554

[10:06:47 -735202.769723] Initial branch length optimization
[10:06:50 -630382.443047] Model parameter optimization (eps = 10.000000)
[10:07:12 -629461.789501] AUTODETECT spr round 1 (radius: 5)
[10:08:55 -393498.031079] AUTODETECT spr round 2 (radius: 10)
[10:10:44 -265774.728374] AUTODETECT spr round 3 (radius: 15)
[10:12:39 -212177.888404] AUTODETECT spr round 4 (radius: 20)
[10:14:42 -186904.087552] AUTODETECT spr round 5 (radius: 25)
[10:17:11 -184691.557513] SPR radius for FAST iterations: 25 (autodetect)
[10:17:11 -184691.557513] Model parameter optimization (eps = 3.000000)
[10:17:19 -184685.370312] FAST spr round 1 (radius: 25)
[10:19:07 -162452.458018] FAST spr round 2 (radius: 25)
[10:20:40 -161213.707669] FAST spr round 3 (radius: 25)
[10:22:00 -161181.792683] FAST spr round 4 (radius: 25)
[10:23:15 -161176.459953] FAST spr round 5 (radius: 25)
[10:24:28 -161170.283745] FAST spr round 6 (radius: 25)
[10:25:41 -161170.240369] Model parameter optimization (eps = 1.000000)
[10:25:44 -161170.077361] SLOW spr round 1 (radius: 5)
[10:27:31 -161099.232442] SLOW spr round 2 (radius: 5)
[10:29:12 -161087.799595] SLOW spr round 3 (radius: 5)
[10:30:49 -161086.327946] SLOW spr round 4 (radius: 5)
[10:32:25 -161086.327917] SLOW spr round 5 (radius: 10)
[10:34:03 -161082.567121] SLOW spr round 6 (radius: 5)
[10:36:05 -161081.730257] SLOW spr round 7 (radius: 5)
[10:37:53 -161081.729451] SLOW spr round 8 (radius: 10)
[10:39:32 -161080.611961] SLOW spr round 9 (radius: 5)
[10:41:33 -161080.195830] SLOW spr round 10 (radius: 5)
[10:43:19 -161080.195788] SLOW spr round 11 (radius: 10)
[10:44:57 -161080.195787] SLOW spr round 12 (radius: 15)
[10:47:17 -161080.195787] SLOW spr round 13 (radius: 20)
[10:50:43 -161080.195787] SLOW spr round 14 (radius: 25)
[10:55:25 -161080.195787] Model parameter optimization (eps = 0.100000)

[10:55:39] ML tree search #14, logLikelihood: -161038.959072

[10:55:39 -734008.810268] Initial branch length optimization
[10:55:43 -628630.386751] Model parameter optimization (eps = 10.000000)
[10:56:16 -627549.751676] AUTODETECT spr round 1 (radius: 5)
[10:57:59 -393794.532596] AUTODETECT spr round 2 (radius: 10)
[10:59:48 -274705.284498] AUTODETECT spr round 3 (radius: 15)
[11:01:41 -221772.544239] AUTODETECT spr round 4 (radius: 20)
[11:03:42 -199722.578382] AUTODETECT spr round 5 (radius: 25)
[11:06:07 -190201.124563] SPR radius for FAST iterations: 25 (autodetect)
[11:06:07 -190201.124563] Model parameter optimization (eps = 3.000000)
[11:06:23 -190090.425676] FAST spr round 1 (radius: 25)
[11:08:10 -162668.611046] FAST spr round 2 (radius: 25)
[11:09:37 -161322.784281] FAST spr round 3 (radius: 25)
[11:10:57 -161119.432833] FAST spr round 4 (radius: 25)
[11:12:13 -161106.526798] FAST spr round 5 (radius: 25)
[11:13:26 -161106.524536] Model parameter optimization (eps = 1.000000)
[11:13:44 -161098.628687] SLOW spr round 1 (radius: 5)
[11:15:25 -161035.583416] SLOW spr round 2 (radius: 5)
[11:17:02 -161017.694922] SLOW spr round 3 (radius: 5)
[11:18:37 -161014.261616] SLOW spr round 4 (radius: 5)
[11:20:09 -161014.261375] SLOW spr round 5 (radius: 10)
[11:21:42 -161010.760393] SLOW spr round 6 (radius: 5)
[11:23:41 -161006.444869] SLOW spr round 7 (radius: 5)
[11:25:27 -161005.746915] SLOW spr round 8 (radius: 5)
[11:27:04 -161005.746812] SLOW spr round 9 (radius: 10)
[11:28:39 -161005.746808] SLOW spr round 10 (radius: 15)
[11:30:55 -161005.746808] SLOW spr round 11 (radius: 20)
[11:34:17 -161005.746808] SLOW spr round 12 (radius: 25)
[11:38:50 -161005.746808] Model parameter optimization (eps = 0.100000)

[11:39:00] ML tree search #15, logLikelihood: -161005.573115

[11:39:00 -741626.601064] Initial branch length optimization
[11:39:03 -631882.594304] Model parameter optimization (eps = 10.000000)
[11:39:26 -631027.570211] AUTODETECT spr round 1 (radius: 5)
[11:41:04 -389292.923271] AUTODETECT spr round 2 (radius: 10)
[11:42:48 -263559.959657] AUTODETECT spr round 3 (radius: 15)
[11:44:33 -217704.813221] AUTODETECT spr round 4 (radius: 20)
[11:46:33 -194074.805004] AUTODETECT spr round 5 (radius: 25)
[11:48:45 -190466.675431] SPR radius for FAST iterations: 25 (autodetect)
[11:48:45 -190466.675431] Model parameter optimization (eps = 3.000000)
[11:48:59 -190426.385061] FAST spr round 1 (radius: 25)
[11:50:45 -162287.495931] FAST spr round 2 (radius: 25)
[11:52:15 -161154.652704] FAST spr round 3 (radius: 25)
[11:53:35 -161105.549124] FAST spr round 4 (radius: 25)
[11:54:50 -161103.939655] FAST spr round 5 (radius: 25)
[11:56:03 -161103.939644] Model parameter optimization (eps = 1.000000)
[11:56:06 -161103.405318] SLOW spr round 1 (radius: 5)
[11:57:50 -161044.313545] SLOW spr round 2 (radius: 5)
[11:59:27 -161036.369420] SLOW spr round 3 (radius: 5)
[12:01:01 -161036.369291] SLOW spr round 4 (radius: 10)
[12:02:36 -161035.955803] SLOW spr round 5 (radius: 5)
[12:04:34 -161034.361580] SLOW spr round 6 (radius: 5)
[12:06:18 -161034.361517] SLOW spr round 7 (radius: 10)
[12:07:53 -161034.361517] SLOW spr round 8 (radius: 15)
[12:10:07 -161034.361517] SLOW spr round 9 (radius: 20)
[12:13:25 -161034.361517] SLOW spr round 10 (radius: 25)
[12:18:03 -161034.361517] Model parameter optimization (eps = 0.100000)

[12:18:16] ML tree search #16, logLikelihood: -161030.424762

[12:18:16 -731443.192094] Initial branch length optimization
[12:18:19 -627072.526818] Model parameter optimization (eps = 10.000000)
[12:18:45 -626061.921300] AUTODETECT spr round 1 (radius: 5)
[12:20:26 -387091.180220] AUTODETECT spr round 2 (radius: 10)
[12:22:17 -268346.797962] AUTODETECT spr round 3 (radius: 15)
[12:24:15 -206899.287254] AUTODETECT spr round 4 (radius: 20)
[12:26:19 -193146.430567] AUTODETECT spr round 5 (radius: 25)
[12:28:44 -191507.186857] SPR radius for FAST iterations: 25 (autodetect)
[12:28:44 -191507.186857] Model parameter optimization (eps = 3.000000)
[12:28:50 -191498.450225] FAST spr round 1 (radius: 25)
[12:30:43 -162763.777318] FAST spr round 2 (radius: 25)
[12:32:17 -161229.383369] FAST spr round 3 (radius: 25)
[12:33:40 -161127.205957] FAST spr round 4 (radius: 25)
[12:34:59 -161119.954955] FAST spr round 5 (radius: 25)
[12:36:14 -161116.940539] FAST spr round 6 (radius: 25)
[12:37:27 -161116.940534] Model parameter optimization (eps = 1.000000)
[12:37:50 -161076.687900] SLOW spr round 1 (radius: 5)
[12:39:31 -161031.860251] SLOW spr round 2 (radius: 5)
[12:41:08 -161027.479214] SLOW spr round 3 (radius: 5)
[12:42:46 -161022.249693] SLOW spr round 4 (radius: 5)
[12:44:21 -161020.531275] SLOW spr round 5 (radius: 5)
[12:45:54 -161020.035605] SLOW spr round 6 (radius: 5)
[12:47:27 -161019.517388] SLOW spr round 7 (radius: 5)
[12:49:00 -161019.517346] SLOW spr round 8 (radius: 10)
[12:50:34 -161016.308588] SLOW spr round 9 (radius: 5)
[12:52:37 -161003.729906] SLOW spr round 10 (radius: 5)
[12:54:18 -161003.729742] SLOW spr round 11 (radius: 10)
[12:55:49 -161003.729741] SLOW spr round 12 (radius: 15)
[12:58:03 -161003.729741] SLOW spr round 13 (radius: 20)
[13:01:28 -161003.729741] SLOW spr round 14 (radius: 25)
[13:06:01 -161003.729741] Model parameter optimization (eps = 0.100000)

[13:06:08] ML tree search #17, logLikelihood: -161003.568430

[13:06:08 -737547.011147] Initial branch length optimization
[13:06:11 -631529.784056] Model parameter optimization (eps = 10.000000)
[13:06:34 -630566.529542] AUTODETECT spr round 1 (radius: 5)
[13:08:07 -385858.953538] AUTODETECT spr round 2 (radius: 10)
[13:09:52 -258294.946030] AUTODETECT spr round 3 (radius: 15)
[13:11:36 -218738.003875] AUTODETECT spr round 4 (radius: 20)
[13:13:53 -200292.084243] AUTODETECT spr round 5 (radius: 25)
[13:16:34 -187535.489795] SPR radius for FAST iterations: 25 (autodetect)
[13:16:34 -187535.489795] Model parameter optimization (eps = 3.000000)
[13:16:49 -187474.109751] FAST spr round 1 (radius: 25)
[13:18:31 -162353.608915] FAST spr round 2 (radius: 25)
[13:19:55 -161186.482106] FAST spr round 3 (radius: 25)
[13:21:14 -161094.571759] FAST spr round 4 (radius: 25)
[13:22:26 -161084.558057] FAST spr round 5 (radius: 25)
[13:23:33 -161084.558035] Model parameter optimization (eps = 1.000000)
[13:23:42 -161078.464328] SLOW spr round 1 (radius: 5)
[13:25:17 -161028.138589] SLOW spr round 2 (radius: 5)
[13:26:46 -161022.117527] SLOW spr round 3 (radius: 5)
[13:28:13 -161019.556879] SLOW spr round 4 (radius: 5)
[13:29:43 -161019.100226] SLOW spr round 5 (radius: 5)
[13:31:12 -161014.801550] SLOW spr round 6 (radius: 5)
[13:32:42 -161014.801422] SLOW spr round 7 (radius: 10)
[13:34:12 -161014.801422] SLOW spr round 8 (radius: 15)
[13:36:28 -161014.801422] SLOW spr round 9 (radius: 20)
[13:39:56 -161014.801422] SLOW spr round 10 (radius: 25)
[13:44:35 -161014.801422] Model parameter optimization (eps = 0.100000)

[13:44:44] ML tree search #18, logLikelihood: -161014.506058

[13:44:44 -734916.735461] Initial branch length optimization
[13:44:47 -628559.582624] Model parameter optimization (eps = 10.000000)
[13:45:10 -627490.805182] AUTODETECT spr round 1 (radius: 5)
[13:46:45 -400752.044207] AUTODETECT spr round 2 (radius: 10)
[13:48:27 -278434.590899] AUTODETECT spr round 3 (radius: 15)
[13:50:14 -225729.994939] AUTODETECT spr round 4 (radius: 20)
[13:52:10 -204373.997223] AUTODETECT spr round 5 (radius: 25)
[13:54:31 -201354.780810] SPR radius for FAST iterations: 25 (autodetect)
[13:54:31 -201354.780810] Model parameter optimization (eps = 3.000000)
[13:54:50 -201293.302866] FAST spr round 1 (radius: 25)
[13:56:33 -168925.367541] FAST spr round 2 (radius: 25)
[13:57:59 -161955.777198] FAST spr round 3 (radius: 25)
[13:59:14 -161108.075932] FAST spr round 4 (radius: 25)
[14:00:26 -161097.631746] FAST spr round 5 (radius: 25)
[14:01:35 -161096.926866] FAST spr round 6 (radius: 25)
[14:02:43 -161096.926866] Model parameter optimization (eps = 1.000000)
[14:02:52 -161088.763186] SLOW spr round 1 (radius: 5)
[14:04:26 -161035.170211] SLOW spr round 2 (radius: 5)
[14:06:04 -161026.977498] SLOW spr round 3 (radius: 5)
[14:07:38 -161025.646509] SLOW spr round 4 (radius: 5)
[14:09:10 -161025.646478] SLOW spr round 5 (radius: 10)
[14:10:44 -161023.300215] SLOW spr round 6 (radius: 5)
[14:12:41 -161023.300202] SLOW spr round 7 (radius: 10)
[14:14:22 -161023.300202] SLOW spr round 8 (radius: 15)
[14:16:37 -161023.300202] SLOW spr round 9 (radius: 20)
[14:20:10 -161023.300202] SLOW spr round 10 (radius: 25)
[14:24:57 -161023.300202] Model parameter optimization (eps = 0.100000)

[14:25:02] ML tree search #19, logLikelihood: -161023.216569

[14:25:02 -737049.200254] Initial branch length optimization
[14:25:06 -631570.307356] Model parameter optimization (eps = 10.000000)
[14:25:29 -630540.472584] AUTODETECT spr round 1 (radius: 5)
[14:27:10 -399723.660068] AUTODETECT spr round 2 (radius: 10)
[14:28:57 -274107.662242] AUTODETECT spr round 3 (radius: 15)
[14:30:49 -225176.638042] AUTODETECT spr round 4 (radius: 20)
[14:33:03 -199887.650953] AUTODETECT spr round 5 (radius: 25)
[14:35:25 -191164.813329] SPR radius for FAST iterations: 25 (autodetect)
[14:35:25 -191164.813329] Model parameter optimization (eps = 3.000000)
[14:35:42 -191101.657785] FAST spr round 1 (radius: 25)
[14:37:31 -161818.866195] FAST spr round 2 (radius: 25)
[14:39:00 -161128.689551] FAST spr round 3 (radius: 25)
[14:40:21 -161071.606025] FAST spr round 4 (radius: 25)
[14:41:35 -161067.643154] FAST spr round 5 (radius: 25)
[14:42:48 -161067.642993] Model parameter optimization (eps = 1.000000)
[14:42:54 -161066.721657] SLOW spr round 1 (radius: 5)
[14:44:36 -161022.005607] SLOW spr round 2 (radius: 5)
[14:46:13 -161008.480595] SLOW spr round 3 (radius: 5)
[14:47:49 -161005.758130] SLOW spr round 4 (radius: 5)
[14:49:22 -161005.757819] SLOW spr round 5 (radius: 10)
[14:50:55 -161005.757804] SLOW spr round 6 (radius: 15)
[14:53:13 -161005.757803] SLOW spr round 7 (radius: 20)
[14:56:32 -161005.757803] SLOW spr round 8 (radius: 25)
[15:01:00 -161005.757803] Model parameter optimization (eps = 0.100000)

[15:01:06] ML tree search #20, logLikelihood: -161005.738801


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.293646,0.268734) (0.333012,0.530037) (0.225559,1.260518) (0.147784,3.114406) 
   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: -161003.568430

AIC score: 326017.136861 / AICc score: 8370077.136861 / BIC score: 334785.643039
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=586).
         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/Q01433/3_mltree/Q01433.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q01433/3_mltree/Q01433.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q01433/3_mltree/Q01433.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q01433/3_mltree/Q01433.raxml.log

Analysis started: 07-Jul-2021 11:10:26 / finished: 08-Jul-2021 02:11:33

Elapsed time: 54066.534 seconds

Consumed energy: 5078.952 Wh (= 25 km in an electric car, or 127 km with an e-scooter!)