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 03-Jul-2021 04:16:11 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q96AY3/2_msa/Q96AY3_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q96AY3/3_mltree/Q96AY3 --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/Q96AY3/2_msa/Q96AY3_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 548 sites

WARNING: Sequences tr_M3Y0W9_M3Y0W9_MUSPF_9669 and tr_A0A2Y9JM46_A0A2Y9JM46_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_M3YP73_M3YP73_MUSPF_9669 and tr_A0A2U3VH15_A0A2U3VH15_ODORO_9708 are exactly identical!
WARNING: Sequences tr_M3YP73_M3YP73_MUSPF_9669 and tr_A0A384DJK6_A0A384DJK6_URSMA_29073 are exactly identical!
WARNING: Sequences tr_G1P878_G1P878_MYOLU_59463 and tr_F6SMA2_F6SMA2_HORSE_9796 are exactly identical!
WARNING: Sequences tr_G1P878_G1P878_MYOLU_59463 and tr_G1MI61_G1MI61_AILME_9646 are exactly identical!
WARNING: Sequences tr_G1P878_G1P878_MYOLU_59463 and tr_A0A1S3FK01_A0A1S3FK01_DIPOR_10020 are exactly identical!
WARNING: Sequences tr_J3K4R8_J3K4R8_COCIM_246410 and tr_A0A0J7B8Y8_A0A0J7B8Y8_COCIT_404692 are exactly identical!
WARNING: Sequences tr_G3R929_G3R929_GORGO_9595 and tr_A0A2I3S5B2_A0A2I3S5B2_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3R929_G3R929_GORGO_9595 and tr_A0A2R9BES8_A0A2R9BES8_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G3RF27_G3RF27_GORGO_9595 and sp_Q5R941_FKB14_PONAB_9601 are exactly identical!
WARNING: Sequences tr_G3RF27_G3RF27_GORGO_9595 and tr_H2QUC7_H2QUC7_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3RF27_G3RF27_GORGO_9595 and sp_Q9NWM8_FKB14_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2J8TYH7_A0A2J8TYH7_PONAB_9601 and tr_A0A2I3M9P3_A0A2I3M9P3_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A2J8TYH7_A0A2J8TYH7_PONAB_9601 and tr_A0A2K5N5V9_A0A2K5N5V9_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A2J8TYH7_A0A2J8TYH7_PONAB_9601 and tr_A0A2K6B288_A0A2K6B288_MACNE_9545 are exactly identical!
WARNING: Sequences tr_B8PK33_B8PK33_POSPM_561896 and tr_A0A1X6NBS4_A0A1X6NBS4_9APHY_670580 are exactly identical!
WARNING: Sequences tr_A0A0R3NPR0_A0A0R3NPR0_DROPS_46245 and tr_B4GHA7_B4GHA7_DROPE_7234 are exactly identical!
WARNING: Sequences tr_Q296K4_Q296K4_DROPS_46245 and tr_B4GF13_B4GF13_DROPE_7234 are exactly identical!
WARNING: Sequences tr_W5PFR3_W5PFR3_SHEEP_9940 and tr_F1N4S5_F1N4S5_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_H0UZP2_H0UZP2_CAVPO_10141 and tr_A0A091DD69_A0A091DD69_FUKDA_885580 are exactly identical!
WARNING: Sequences tr_A0A0E0FXJ9_A0A0E0FXJ9_ORYNI_4536 and tr_A2WYA7_A2WYA7_ORYSI_39946 are exactly identical!
WARNING: Sequences tr_A0A0E0FXJ9_A0A0E0FXJ9_ORYNI_4536 and tr_I1NUM6_I1NUM6_ORYGL_4538 are exactly identical!
WARNING: Sequences tr_A0A0E0FXJ9_A0A0E0FXJ9_ORYNI_4536 and tr_A0A0D3EXU5_A0A0D3EXU5_9ORYZ_65489 are exactly identical!
WARNING: Sequences tr_A0A0K0J7U9_A0A0K0J7U9_BRUMA_6279 and tr_A0A0R3Q6R0_A0A0R3Q6R0_9BILA_42155 are exactly identical!
WARNING: Sequences tr_A0A1D5QGK8_A0A1D5QGK8_MACMU_9544 and tr_A0A0D9RQS4_A0A0D9RQS4_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_F7ECQ2_F7ECQ2_MACMU_9544 and tr_G7P0H7_G7P0H7_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7ECQ2_F7ECQ2_MACMU_9544 and tr_A0A096MSI3_A0A096MSI3_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F7ECQ2_F7ECQ2_MACMU_9544 and tr_A0A2K5LMR2_A0A2K5LMR2_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F7ECQ2_F7ECQ2_MACMU_9544 and tr_A0A2K6D509_A0A2K6D509_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7ECQ2_F7ECQ2_MACMU_9544 and tr_A0A2K5YUH0_A0A2K5YUH0_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F7H5Q0_F7H5Q0_MACMU_9544 and tr_A0A2K5M8J2_A0A2K5M8J2_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F7H5Q0_F7H5Q0_MACMU_9544 and tr_A0A2K6C7F0_A0A2K6C7F0_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A2Z2T0_A2Z2T0_ORYSI_39946 and tr_I1QQ67_I1QQ67_ORYGL_4538 are exactly identical!
WARNING: Sequences tr_F4P3E7_F4P3E7_BATDJ_684364 and tr_A0A177WNW5_A0A177WNW5_BATDE_403673 are exactly identical!
WARNING: Sequences tr_I1P0J2_I1P0J2_ORYGL_4538 and tr_A0A0E0NF29_A0A0E0NF29_ORYRU_4529 are exactly identical!
WARNING: Sequences tr_I1P0J2_I1P0J2_ORYGL_4538 and tr_A0A0D3F5A7_A0A0D3F5A7_9ORYZ_65489 are exactly identical!
WARNING: Sequences tr_I1P0J2_I1P0J2_ORYGL_4538 and tr_Q6K5Q1_Q6K5Q1_ORYSJ_39947 are exactly identical!
WARNING: Sequences tr_A0A0E0N6Q8_A0A0E0N6Q8_ORYRU_4529 and tr_Q5N801_Q5N801_ORYSJ_39947 are exactly identical!
WARNING: Sequences tr_A0A0E0QTC7_A0A0E0QTC7_ORYRU_4529 and tr_A3C0C6_A3C0C6_ORYSJ_39947 are exactly identical!
WARNING: Sequences tr_G0NJL1_G0NJL1_CAEBE_135651 and tr_G0NJL5_G0NJL5_CAEBE_135651 are exactly identical!
WARNING: Sequences tr_E3LNT4_E3LNT4_CAERE_31234 and tr_A0A261BML9_A0A261BML9_9PELO_1503980 are exactly identical!
WARNING: Sequences tr_E3MGB9_E3MGB9_CAERE_31234 and tr_A0A261C4S0_A0A261C4S0_9PELO_1503980 are exactly identical!
WARNING: Sequences tr_D2HBK8_D2HBK8_AILME_9646 and tr_A0A384BQ00_A0A384BQ00_URSMA_29073 are exactly identical!
WARNING: Sequences tr_M4D9R5_M4D9R5_BRARP_51351 and tr_A0A078FKY1_A0A078FKY1_BRANA_3708 are exactly identical!
WARNING: Sequences tr_M4D9R5_M4D9R5_BRARP_51351 and tr_A0A078IMH0_A0A078IMH0_BRANA_3708 are exactly identical!
WARNING: Sequences tr_T1MNN7_T1MNN7_TRIUA_4572 and tr_A0A3B6KKV5_A0A3B6KKV5_WHEAT_4565 are exactly identical!
WARNING: Sequences tr_W2QW77_W2QW77_PHYPN_761204 and tr_W2I4S0_W2I4S0_PHYPR_4792 are exactly identical!
WARNING: Sequences tr_A0A044SPA6_A0A044SPA6_ONCVO_6282 and tr_A0A182EHL6_A0A182EHL6_ONCOC_42157 are exactly identical!
WARNING: Sequences tr_A0A067DFE7_A0A067DFE7_CITSI_2711 and tr_V4TKZ8_V4TKZ8_9ROSI_85681 are exactly identical!
WARNING: Sequences tr_A0A2I3MM05_A0A2I3MM05_PAPAN_9555 and tr_A0A2K5KJP7_A0A2K5KJP7_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A078JK66_A0A078JK66_BRANA_3708 and tr_A0A0D3BD94_A0A0D3BD94_BRAOL_109376 are exactly identical!
WARNING: Sequences tr_A0A0D2SKW8_A0A0D2SKW8_GOSRA_29730 and tr_A0A1U8K141_A0A1U8K141_GOSHI_3635 are exactly identical!
WARNING: Sequences tr_A0A0V1CW17_A0A0V1CW17_TRIBR_45882 and tr_A0A0V0XA14_A0A0V0XA14_9BILA_92179 are exactly identical!
WARNING: Sequences tr_A0A0V0V2C1_A0A0V0V2C1_9BILA_181606 and tr_A0A0V1LMG8_A0A0V1LMG8_9BILA_6335 are exactly identical!
WARNING: Sequences tr_A0A165A8G6_A0A165A8G6_9HOMO_1314777 and tr_A0A166HC48_A0A166HC48_9HOMO_1314776 are exactly identical!
WARNING: Sequences tr_A0A194W2J2_A0A194W2J2_9PEZI_105487 and tr_A0A194UVY6_A0A194UVY6_9PEZI_694573 are exactly identical!
WARNING: Sequences tr_A0A1S3ZAS0_A0A1S3ZAS0_TOBAC_4097 and tr_A0A1U7XPM1_A0A1U7XPM1_NICSY_4096 are exactly identical!
WARNING: Sequences tr_A0A1U8H2D5_A0A1U8H2D5_CAPAN_4072 and tr_A0A2G3CCB5_A0A2G3CCB5_CAPCH_80379 are exactly identical!
WARNING: Sequences tr_A0A2U3V9Y9_A0A2U3V9Y9_TURTR_9739 and tr_A0A2Y9P189_A0A2Y9P189_DELLE_9749 are exactly identical!
WARNING: Sequences tr_A0A2U4AKD3_A0A2U4AKD3_TURTR_9739 and tr_A0A2U4AKD4_A0A2U4AKD4_TURTR_9739 are exactly identical!
WARNING: Sequences tr_A0A2U3WWS4_A0A2U3WWS4_ODORO_9708 and tr_A0A2U3XZP9_A0A2U3XZP9_LEPWE_9713 are exactly identical!
WARNING: Sequences tr_A0A2Y9EJ24_A0A2Y9EJ24_PHYCD_9755 and tr_A0A383ZHP4_A0A383ZHP4_BALAS_310752 are exactly identical!
WARNING: Sequences tr_A0A2X0M0T3_A0A2X0M0T3_9BASI_796604 and tr_A0A2X0LR54_A0A2X0LR54_9BASI_289078 are exactly identical!
WARNING: Duplicate sequences found: 63

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/Q96AY3/3_mltree/Q96AY3.raxml.reduced.phy

Alignment comprises 1 partitions and 548 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 548 / 548
Gaps: 55.44 %
Invariant sites: 0.73 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q96AY3/3_mltree/Q96AY3.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 / 79 / 6320
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -410402.424279] Initial branch length optimization
[00:00:03 -346084.287034] Model parameter optimization (eps = 10.000000)
[00:00:35 -345371.340710] AUTODETECT spr round 1 (radius: 5)
[00:02:30 -235425.861178] AUTODETECT spr round 2 (radius: 10)
[00:04:35 -181064.261603] AUTODETECT spr round 3 (radius: 15)
[00:06:53 -149330.391250] AUTODETECT spr round 4 (radius: 20)
[00:09:29 -140291.232174] AUTODETECT spr round 5 (radius: 25)
[00:13:00 -137110.934592] SPR radius for FAST iterations: 25 (autodetect)
[00:13:00 -137110.934592] Model parameter optimization (eps = 3.000000)
[00:13:21 -136887.708268] FAST spr round 1 (radius: 25)
[00:16:09 -121924.672136] FAST spr round 2 (radius: 25)
[00:18:17 -121129.679060] FAST spr round 3 (radius: 25)
[00:20:09 -121007.813203] FAST spr round 4 (radius: 25)
[00:21:58 -120975.336190] FAST spr round 5 (radius: 25)
[00:23:37 -120956.355552] FAST spr round 6 (radius: 25)
[00:25:14 -120956.353978] Model parameter optimization (eps = 1.000000)
[00:25:27 -120950.308049] SLOW spr round 1 (radius: 5)
[00:27:28 -120930.840102] SLOW spr round 2 (radius: 5)
[00:29:38 -120926.402378] SLOW spr round 3 (radius: 5)
[00:31:33 -120926.401987] SLOW spr round 4 (radius: 10)
[00:33:29 -120926.401984] SLOW spr round 5 (radius: 15)
[00:36:56 -120926.176756] SLOW spr round 6 (radius: 5)
[00:39:20 -120925.811158] SLOW spr round 7 (radius: 5)
[00:41:27 -120925.811034] SLOW spr round 8 (radius: 10)
[00:43:29 -120925.811032] SLOW spr round 9 (radius: 15)
[00:46:45 -120925.811031] SLOW spr round 10 (radius: 20)
[00:51:49 -120925.811030] SLOW spr round 11 (radius: 25)
[00:59:15 -120925.811029] Model parameter optimization (eps = 0.100000)

[00:59:19] ML tree search #1, logLikelihood: -120925.809015

[00:59:19 -413148.003328] Initial branch length optimization
[00:59:22 -348622.260892] Model parameter optimization (eps = 10.000000)
[00:59:57 -347885.288796] AUTODETECT spr round 1 (radius: 5)
[01:01:54 -242819.497475] AUTODETECT spr round 2 (radius: 10)
[01:04:01 -179321.743134] AUTODETECT spr round 3 (radius: 15)
[01:06:25 -148731.750237] AUTODETECT spr round 4 (radius: 20)
[01:08:55 -140033.549950] AUTODETECT spr round 5 (radius: 25)
[01:12:09 -137566.604951] SPR radius for FAST iterations: 25 (autodetect)
[01:12:09 -137566.604951] Model parameter optimization (eps = 3.000000)
[01:12:33 -137357.495272] FAST spr round 1 (radius: 25)
[01:15:22 -121762.967008] FAST spr round 2 (radius: 25)
[01:17:26 -121110.568939] FAST spr round 3 (radius: 25)
[01:19:18 -121027.990555] FAST spr round 4 (radius: 25)
[01:21:03 -121015.259614] FAST spr round 5 (radius: 25)
[01:22:43 -121010.227932] FAST spr round 6 (radius: 25)
[01:24:21 -121008.524947] FAST spr round 7 (radius: 25)
[01:25:53 -121008.524664] Model parameter optimization (eps = 1.000000)
[01:26:05 -121005.694549] SLOW spr round 1 (radius: 5)
[01:28:09 -120989.679266] SLOW spr round 2 (radius: 5)
[01:30:08 -120987.251189] SLOW spr round 3 (radius: 5)
[01:32:05 -120985.737165] SLOW spr round 4 (radius: 5)
[01:34:00 -120985.737088] SLOW spr round 5 (radius: 10)
[01:36:01 -120980.431471] SLOW spr round 6 (radius: 5)
[01:38:22 -120977.788107] SLOW spr round 7 (radius: 5)
[01:40:30 -120977.426849] SLOW spr round 8 (radius: 5)
[01:42:29 -120977.426747] SLOW spr round 9 (radius: 10)
[01:44:27 -120977.426742] SLOW spr round 10 (radius: 15)
[01:47:39 -120977.426741] SLOW spr round 11 (radius: 20)
[01:52:15 -120974.287674] SLOW spr round 12 (radius: 5)
[01:54:39 -120974.287047] SLOW spr round 13 (radius: 10)
[01:57:00 -120974.287038] SLOW spr round 14 (radius: 15)
[01:59:55 -120974.287038] SLOW spr round 15 (radius: 20)
[02:04:45 -120974.287038] SLOW spr round 16 (radius: 25)
[02:11:11 -120974.287038] Model parameter optimization (eps = 0.100000)

[02:11:17] ML tree search #2, logLikelihood: -120974.276963

[02:11:17 -413805.906483] Initial branch length optimization
[02:11:21 -347698.202028] Model parameter optimization (eps = 10.000000)
[02:11:49 -347034.936358] AUTODETECT spr round 1 (radius: 5)
[02:13:44 -245140.381075] AUTODETECT spr round 2 (radius: 10)
[02:15:52 -175968.541790] AUTODETECT spr round 3 (radius: 15)
[02:18:11 -144471.377479] AUTODETECT spr round 4 (radius: 20)
[02:20:59 -136454.658185] AUTODETECT spr round 5 (radius: 25)
[02:24:19 -134545.823383] SPR radius for FAST iterations: 25 (autodetect)
[02:24:19 -134545.823383] Model parameter optimization (eps = 3.000000)
[02:24:44 -134343.766393] FAST spr round 1 (radius: 25)
[02:27:26 -121559.773328] FAST spr round 2 (radius: 25)
[02:29:33 -121079.022235] FAST spr round 3 (radius: 25)
[02:31:25 -121026.185907] FAST spr round 4 (radius: 25)
[02:33:06 -121009.299052] FAST spr round 5 (radius: 25)
[02:34:42 -121009.299031] Model parameter optimization (eps = 1.000000)
[02:34:57 -121004.139593] SLOW spr round 1 (radius: 5)
[02:37:05 -120964.876868] SLOW spr round 2 (radius: 5)
[02:39:08 -120954.093833] SLOW spr round 3 (radius: 5)
[02:41:06 -120951.674410] SLOW spr round 4 (radius: 5)
[02:43:01 -120951.674111] SLOW spr round 5 (radius: 10)
[02:44:57 -120951.674092] SLOW spr round 6 (radius: 15)
[02:48:18 -120945.102504] SLOW spr round 7 (radius: 5)
[02:50:40 -120944.858483] SLOW spr round 8 (radius: 5)
[02:52:49 -120944.857577] SLOW spr round 9 (radius: 10)
[02:54:51 -120944.857535] SLOW spr round 10 (radius: 15)
[02:57:59 -120944.614243] SLOW spr round 11 (radius: 5)
[03:00:22 -120944.614172] SLOW spr round 12 (radius: 10)
[03:02:36 -120944.614171] SLOW spr round 13 (radius: 15)
[03:05:34 -120944.614171] SLOW spr round 14 (radius: 20)
[03:10:14 -120944.614171] SLOW spr round 15 (radius: 25)
[03:16:29 -120944.614171] Model parameter optimization (eps = 0.100000)

[03:16:38] ML tree search #3, logLikelihood: -120944.453836

[03:16:38 -410816.672345] Initial branch length optimization
[03:16:41 -348314.770880] Model parameter optimization (eps = 10.000000)
[03:17:14 -347588.103995] AUTODETECT spr round 1 (radius: 5)
[03:19:09 -240983.459475] AUTODETECT spr round 2 (radius: 10)
[03:21:15 -178289.352634] AUTODETECT spr round 3 (radius: 15)
[03:23:31 -147994.147260] AUTODETECT spr round 4 (radius: 20)
[03:25:58 -138573.057815] AUTODETECT spr round 5 (radius: 25)
[03:28:55 -135770.391529] SPR radius for FAST iterations: 25 (autodetect)
[03:28:55 -135770.391529] Model parameter optimization (eps = 3.000000)
[03:29:19 -135550.139360] FAST spr round 1 (radius: 25)
[03:32:08 -121748.959263] FAST spr round 2 (radius: 25)
[03:34:29 -121049.069780] FAST spr round 3 (radius: 25)
[03:36:21 -120998.922458] FAST spr round 4 (radius: 25)
[03:38:05 -120987.183324] FAST spr round 5 (radius: 25)
[03:39:42 -120985.896915] FAST spr round 6 (radius: 25)
[03:41:17 -120984.862241] FAST spr round 7 (radius: 25)
[03:42:50 -120984.862164] Model parameter optimization (eps = 1.000000)
[03:43:05 -120980.665776] SLOW spr round 1 (radius: 5)
[03:45:10 -120944.588171] SLOW spr round 2 (radius: 5)
[03:47:11 -120941.765955] SLOW spr round 3 (radius: 5)
[03:49:07 -120941.760123] SLOW spr round 4 (radius: 10)
[03:51:04 -120940.070449] SLOW spr round 5 (radius: 5)
[03:53:24 -120940.070260] SLOW spr round 6 (radius: 10)
[03:55:30 -120940.070256] SLOW spr round 7 (radius: 15)
[03:58:29 -120934.812247] SLOW spr round 8 (radius: 5)
[04:00:53 -120934.055392] SLOW spr round 9 (radius: 5)
[04:03:02 -120934.055307] SLOW spr round 10 (radius: 10)
[04:05:04 -120934.055306] SLOW spr round 11 (radius: 15)
[04:08:11 -120933.234141] SLOW spr round 12 (radius: 5)
[04:10:34 -120932.964247] SLOW spr round 13 (radius: 5)
[04:12:43 -120932.963667] SLOW spr round 14 (radius: 10)
[04:14:43 -120932.963652] SLOW spr round 15 (radius: 15)
[04:17:45 -120932.963652] SLOW spr round 16 (radius: 20)
[04:22:17 -120932.963652] SLOW spr round 17 (radius: 25)
[04:28:36 -120932.963652] Model parameter optimization (eps = 0.100000)

[04:28:49] ML tree search #4, logLikelihood: -120932.300166

[04:28:50 -408410.461087] Initial branch length optimization
[04:28:52 -343958.074071] Model parameter optimization (eps = 10.000000)
[04:29:21 -343257.953059] AUTODETECT spr round 1 (radius: 5)
[04:31:10 -237865.656107] AUTODETECT spr round 2 (radius: 10)
[04:33:16 -180832.604958] AUTODETECT spr round 3 (radius: 15)
[04:35:30 -162534.434355] AUTODETECT spr round 4 (radius: 20)
[04:38:07 -144888.734344] AUTODETECT spr round 5 (radius: 25)
[04:41:02 -140201.476617] SPR radius for FAST iterations: 25 (autodetect)
[04:41:02 -140201.476617] Model parameter optimization (eps = 3.000000)
[04:41:29 -139984.910629] FAST spr round 1 (radius: 25)
[04:44:18 -121759.448510] FAST spr round 2 (radius: 25)
[04:46:28 -121109.910934] FAST spr round 3 (radius: 25)
[04:48:22 -120998.731706] FAST spr round 4 (radius: 25)
[04:50:09 -120983.051960] FAST spr round 5 (radius: 25)
[04:51:49 -120976.627677] FAST spr round 6 (radius: 25)
[04:53:24 -120973.389169] FAST spr round 7 (radius: 25)
[04:54:59 -120972.750373] FAST spr round 8 (radius: 25)
[04:56:33 -120972.750282] Model parameter optimization (eps = 1.000000)
[04:56:48 -120969.341042] SLOW spr round 1 (radius: 5)
[04:59:00 -120942.160461] SLOW spr round 2 (radius: 5)
[05:01:00 -120934.401984] SLOW spr round 3 (radius: 5)
[05:02:58 -120933.669726] SLOW spr round 4 (radius: 5)
[05:04:54 -120933.669557] SLOW spr round 5 (radius: 10)
[05:06:55 -120922.226948] SLOW spr round 6 (radius: 5)
[05:09:19 -120917.465014] SLOW spr round 7 (radius: 5)
[05:11:24 -120917.464751] SLOW spr round 8 (radius: 10)
[05:13:24 -120917.464746] SLOW spr round 9 (radius: 15)
[05:16:37 -120915.574096] SLOW spr round 10 (radius: 5)
[05:19:03 -120914.966771] SLOW spr round 11 (radius: 5)
[05:21:12 -120914.966236] SLOW spr round 12 (radius: 10)
[05:23:16 -120914.497969] SLOW spr round 13 (radius: 5)
[05:25:34 -120914.497939] SLOW spr round 14 (radius: 10)
[05:27:43 -120914.497939] SLOW spr round 15 (radius: 15)
[05:30:44 -120914.497939] SLOW spr round 16 (radius: 20)
[05:35:44 -120914.497938] SLOW spr round 17 (radius: 25)
[05:42:29 -120914.497938] Model parameter optimization (eps = 0.100000)

[05:42:34] ML tree search #5, logLikelihood: -120914.449263

[05:42:34 -408597.975270] Initial branch length optimization
[05:42:37 -347026.710504] Model parameter optimization (eps = 10.000000)
[05:43:09 -346354.689360] AUTODETECT spr round 1 (radius: 5)
[05:45:05 -237659.750943] AUTODETECT spr round 2 (radius: 10)
[05:47:10 -176214.379805] AUTODETECT spr round 3 (radius: 15)
[05:49:31 -148898.386093] AUTODETECT spr round 4 (radius: 20)
[05:51:56 -138553.135951] AUTODETECT spr round 5 (radius: 25)
[05:54:36 -136930.687677] SPR radius for FAST iterations: 25 (autodetect)
[05:54:36 -136930.687677] Model parameter optimization (eps = 3.000000)
[05:55:07 -136685.015533] FAST spr round 1 (radius: 25)
[05:58:06 -121598.217656] FAST spr round 2 (radius: 25)
[06:00:13 -121065.184293] FAST spr round 3 (radius: 25)
[06:02:03 -121006.501639] FAST spr round 4 (radius: 25)
[06:03:45 -120991.691613] FAST spr round 5 (radius: 25)
[06:05:22 -120987.256260] FAST spr round 6 (radius: 25)
[06:06:56 -120987.256003] Model parameter optimization (eps = 1.000000)
[06:07:12 -120983.309716] SLOW spr round 1 (radius: 5)
[06:09:16 -120957.848887] SLOW spr round 2 (radius: 5)
[06:11:19 -120947.596372] SLOW spr round 3 (radius: 5)
[06:13:13 -120947.207235] SLOW spr round 4 (radius: 5)
[06:15:08 -120947.206094] SLOW spr round 5 (radius: 10)
[06:17:08 -120945.421153] SLOW spr round 6 (radius: 5)
[06:19:30 -120944.159624] SLOW spr round 7 (radius: 5)
[06:21:35 -120944.159590] SLOW spr round 8 (radius: 10)
[06:23:35 -120944.159589] SLOW spr round 9 (radius: 15)
[06:26:53 -120936.716828] SLOW spr round 10 (radius: 5)
[06:29:15 -120936.716824] SLOW spr round 11 (radius: 10)
[06:31:31 -120936.716823] SLOW spr round 12 (radius: 15)
[06:34:35 -120936.716823] SLOW spr round 13 (radius: 20)
[06:39:25 -120936.716822] SLOW spr round 14 (radius: 25)
[06:45:50 -120936.716822] Model parameter optimization (eps = 0.100000)

[06:45:55] ML tree search #6, logLikelihood: -120936.704858

[06:45:55 -411210.491738] Initial branch length optimization
[06:45:58 -346014.408750] Model parameter optimization (eps = 10.000000)
[06:46:26 -345253.093193] AUTODETECT spr round 1 (radius: 5)
[06:48:23 -238785.845801] AUTODETECT spr round 2 (radius: 10)
[06:50:30 -185319.923688] AUTODETECT spr round 3 (radius: 15)
[06:52:47 -162340.060557] AUTODETECT spr round 4 (radius: 20)
[06:55:24 -143620.860102] AUTODETECT spr round 5 (radius: 25)
[06:58:25 -139513.591337] SPR radius for FAST iterations: 25 (autodetect)
[06:58:25 -139513.591337] Model parameter optimization (eps = 3.000000)
[06:58:52 -139175.329713] FAST spr round 1 (radius: 25)
[07:01:41 -122323.381854] FAST spr round 2 (radius: 25)
[07:03:43 -121112.958400] FAST spr round 3 (radius: 25)
[07:05:33 -121016.779379] FAST spr round 4 (radius: 25)
[07:07:16 -121005.534601] FAST spr round 5 (radius: 25)
[07:08:52 -121002.773177] FAST spr round 6 (radius: 25)
[07:10:33 -121002.773131] Model parameter optimization (eps = 1.000000)
[07:10:45 -120999.650451] SLOW spr round 1 (radius: 5)
[07:12:40 -120959.779740] SLOW spr round 2 (radius: 5)
[07:14:40 -120948.408651] SLOW spr round 3 (radius: 5)
[07:16:36 -120946.193576] SLOW spr round 4 (radius: 5)
[07:18:32 -120946.193501] SLOW spr round 5 (radius: 10)
[07:20:29 -120940.670063] SLOW spr round 6 (radius: 5)
[07:22:48 -120940.670061] SLOW spr round 7 (radius: 10)
[07:24:56 -120940.670061] SLOW spr round 8 (radius: 15)
[07:27:58 -120940.052394] SLOW spr round 9 (radius: 5)
[07:30:22 -120936.695389] SLOW spr round 10 (radius: 5)
[07:32:31 -120936.609080] SLOW spr round 11 (radius: 10)
[07:34:31 -120936.608986] SLOW spr round 12 (radius: 15)
[07:37:39 -120936.608986] SLOW spr round 13 (radius: 20)
[07:42:07 -120936.608986] SLOW spr round 14 (radius: 25)
[07:48:34 -120932.300532] SLOW spr round 15 (radius: 5)
[07:51:05 -120923.565980] SLOW spr round 16 (radius: 5)
[07:53:18 -120921.509059] SLOW spr round 17 (radius: 5)
[07:55:19 -120921.508778] SLOW spr round 18 (radius: 10)
[07:57:20 -120918.242313] SLOW spr round 19 (radius: 5)
[07:59:40 -120917.163154] SLOW spr round 20 (radius: 5)
[08:01:44 -120917.163074] SLOW spr round 21 (radius: 10)
[08:03:44 -120915.980461] SLOW spr round 22 (radius: 5)
[08:06:05 -120915.247441] SLOW spr round 23 (radius: 5)
[08:08:12 -120914.811870] SLOW spr round 24 (radius: 5)
[08:10:10 -120914.800335] SLOW spr round 25 (radius: 10)
[08:12:06 -120914.800120] SLOW spr round 26 (radius: 15)
[08:15:23 -120914.800074] SLOW spr round 27 (radius: 20)
[08:19:57 -120914.800061] SLOW spr round 28 (radius: 25)
[08:26:47 -120914.800058] Model parameter optimization (eps = 0.100000)

[08:26:53] ML tree search #7, logLikelihood: -120914.755957

[08:26:53 -410866.954606] Initial branch length optimization
[08:26:55 -347260.338682] Model parameter optimization (eps = 10.000000)
[08:27:22 -346439.799170] AUTODETECT spr round 1 (radius: 5)
[08:29:17 -237548.135714] AUTODETECT spr round 2 (radius: 10)
[08:31:23 -178348.573252] AUTODETECT spr round 3 (radius: 15)
[08:33:42 -155809.935033] AUTODETECT spr round 4 (radius: 20)
[08:36:28 -140907.363495] AUTODETECT spr round 5 (radius: 25)
[08:39:44 -138380.695878] SPR radius for FAST iterations: 25 (autodetect)
[08:39:44 -138380.695878] Model parameter optimization (eps = 3.000000)
[08:40:06 -138139.135717] FAST spr round 1 (radius: 25)
[08:42:48 -121694.225653] FAST spr round 2 (radius: 25)
[08:44:55 -121088.516818] FAST spr round 3 (radius: 25)
[08:46:48 -121026.081523] FAST spr round 4 (radius: 25)
[08:48:27 -121019.781811] FAST spr round 5 (radius: 25)
[08:50:04 -121019.175027] FAST spr round 6 (radius: 25)
[08:51:38 -121019.174808] Model parameter optimization (eps = 1.000000)
[08:51:52 -121011.006836] SLOW spr round 1 (radius: 5)
[08:53:59 -120978.840182] SLOW spr round 2 (radius: 5)
[08:55:59 -120963.530266] SLOW spr round 3 (radius: 5)
[08:57:55 -120962.961324] SLOW spr round 4 (radius: 5)
[08:59:49 -120962.525494] SLOW spr round 5 (radius: 5)
[09:01:43 -120962.525432] SLOW spr round 6 (radius: 10)
[09:03:42 -120960.468362] SLOW spr round 7 (radius: 5)
[09:06:00 -120958.423054] SLOW spr round 8 (radius: 5)
[09:08:08 -120955.799714] SLOW spr round 9 (radius: 5)
[09:10:06 -120955.799707] SLOW spr round 10 (radius: 10)
[09:12:06 -120953.556993] SLOW spr round 11 (radius: 5)
[09:14:25 -120952.323817] SLOW spr round 12 (radius: 5)
[09:16:32 -120951.189290] SLOW spr round 13 (radius: 5)
[09:18:34 -120944.806335] SLOW spr round 14 (radius: 5)
[09:20:31 -120944.802204] SLOW spr round 15 (radius: 10)
[09:22:28 -120944.154363] SLOW spr round 16 (radius: 5)
[09:24:47 -120943.866284] SLOW spr round 17 (radius: 5)
[09:26:55 -120942.367024] SLOW spr round 18 (radius: 5)
[09:28:56 -120942.331045] SLOW spr round 19 (radius: 10)
[09:30:54 -120942.330558] SLOW spr round 20 (radius: 15)
[09:34:07 -120935.887703] SLOW spr round 21 (radius: 5)
[09:36:29 -120935.887218] SLOW spr round 22 (radius: 10)
[09:38:42 -120935.887209] SLOW spr round 23 (radius: 15)
[09:41:35 -120935.887209] SLOW spr round 24 (radius: 20)
[09:46:34 -120935.887209] SLOW spr round 25 (radius: 25)
[09:53:16 -120935.887209] Model parameter optimization (eps = 0.100000)

[09:53:21] ML tree search #8, logLikelihood: -120935.843291

[09:53:21 -412190.955302] Initial branch length optimization
[09:53:25 -347832.858537] Model parameter optimization (eps = 10.000000)
[09:53:56 -347103.893240] AUTODETECT spr round 1 (radius: 5)
[09:55:51 -246430.706223] AUTODETECT spr round 2 (radius: 10)
[09:58:02 -182719.792446] AUTODETECT spr round 3 (radius: 15)
[10:00:21 -153347.766306] AUTODETECT spr round 4 (radius: 20)
[10:03:01 -142251.312210] AUTODETECT spr round 5 (radius: 25)
[10:05:39 -139747.368234] SPR radius for FAST iterations: 25 (autodetect)
[10:05:39 -139747.368234] Model parameter optimization (eps = 3.000000)
[10:06:05 -139514.769714] FAST spr round 1 (radius: 25)
[10:08:54 -122100.022688] FAST spr round 2 (radius: 25)
[10:11:05 -121090.771028] FAST spr round 3 (radius: 25)
[10:12:59 -121023.110096] FAST spr round 4 (radius: 25)
[10:14:44 -121013.988538] FAST spr round 5 (radius: 25)
[10:16:21 -121002.719215] FAST spr round 6 (radius: 25)
[10:17:58 -121001.345368] FAST spr round 7 (radius: 25)
[10:19:32 -120999.662418] FAST spr round 8 (radius: 25)
[10:21:05 -120999.659469] Model parameter optimization (eps = 1.000000)
[10:21:20 -120994.687332] SLOW spr round 1 (radius: 5)
[10:23:22 -120969.704358] SLOW spr round 2 (radius: 5)
[10:25:20 -120966.539837] SLOW spr round 3 (radius: 5)
[10:27:17 -120966.538915] SLOW spr round 4 (radius: 10)
[10:29:15 -120964.397998] SLOW spr round 5 (radius: 5)
[10:31:37 -120964.149768] SLOW spr round 6 (radius: 5)
[10:33:45 -120962.793181] SLOW spr round 7 (radius: 5)
[10:35:44 -120962.792079] SLOW spr round 8 (radius: 10)
[10:37:43 -120962.571550] SLOW spr round 9 (radius: 5)
[10:40:02 -120962.571303] SLOW spr round 10 (radius: 10)
[10:42:11 -120962.571303] SLOW spr round 11 (radius: 15)
[10:45:08 -120962.136497] SLOW spr round 12 (radius: 5)
[10:47:31 -120962.136413] SLOW spr round 13 (radius: 10)
[10:49:45 -120962.136413] SLOW spr round 14 (radius: 15)
[10:52:39 -120962.136413] SLOW spr round 15 (radius: 20)
[10:57:23 -120962.136413] SLOW spr round 16 (radius: 25)
[11:03:37 -120959.701856] SLOW spr round 17 (radius: 5)
[11:06:03 -120958.662122] SLOW spr round 18 (radius: 5)
[11:08:16 -120958.661887] SLOW spr round 19 (radius: 10)
[11:10:14 -120958.661874] SLOW spr round 20 (radius: 15)
[11:13:11 -120958.661872] SLOW spr round 21 (radius: 20)
[11:17:48 -120958.661872] SLOW spr round 22 (radius: 25)
[11:24:08 -120958.661872] Model parameter optimization (eps = 0.100000)

[11:24:16] ML tree search #9, logLikelihood: -120958.602191

[11:24:16 -411862.270935] Initial branch length optimization
[11:24:19 -346800.100594] Model parameter optimization (eps = 10.000000)
[11:24:47 -346067.713610] AUTODETECT spr round 1 (radius: 5)
[11:26:43 -240543.661474] AUTODETECT spr round 2 (radius: 10)
[11:28:55 -184054.932653] AUTODETECT spr round 3 (radius: 15)
[11:31:10 -153607.654431] AUTODETECT spr round 4 (radius: 20)
[11:33:54 -139978.880201] AUTODETECT spr round 5 (radius: 25)
[11:36:50 -137883.192819] SPR radius for FAST iterations: 25 (autodetect)
[11:36:50 -137883.192819] Model parameter optimization (eps = 3.000000)
[11:37:10 -137660.181553] FAST spr round 1 (radius: 25)
[11:40:02 -121871.347570] FAST spr round 2 (radius: 25)
[11:42:13 -121029.170495] FAST spr round 3 (radius: 25)
[11:44:07 -120991.526509] FAST spr round 4 (radius: 25)
[11:45:48 -120979.690836] FAST spr round 5 (radius: 25)
[11:47:25 -120978.645569] FAST spr round 6 (radius: 25)
[11:49:01 -120978.645401] Model parameter optimization (eps = 1.000000)
[11:49:17 -120973.663656] SLOW spr round 1 (radius: 5)
[11:51:21 -120946.688953] SLOW spr round 2 (radius: 5)
[11:53:20 -120944.147273] SLOW spr round 3 (radius: 5)
[11:55:15 -120944.146767] SLOW spr round 4 (radius: 10)
[11:57:14 -120942.013453] SLOW spr round 5 (radius: 5)
[11:59:38 -120938.717170] SLOW spr round 6 (radius: 5)
[12:01:45 -120938.716879] SLOW spr round 7 (radius: 10)
[12:03:46 -120938.250808] SLOW spr round 8 (radius: 5)
[12:06:06 -120938.250777] SLOW spr round 9 (radius: 10)
[12:08:14 -120938.250771] SLOW spr round 10 (radius: 15)
[12:11:16 -120937.728073] SLOW spr round 11 (radius: 5)
[12:13:41 -120937.727150] SLOW spr round 12 (radius: 10)
[12:15:53 -120937.727134] SLOW spr round 13 (radius: 15)
[12:18:48 -120937.709650] SLOW spr round 14 (radius: 20)
[12:23:34 -120937.708766] SLOW spr round 15 (radius: 25)
[12:29:44 -120937.708723] Model parameter optimization (eps = 0.100000)

[12:29:49] ML tree search #10, logLikelihood: -120937.684047

[12:29:49 -411543.954052] Initial branch length optimization
[12:29:52 -347486.426058] Model parameter optimization (eps = 10.000000)
[12:30:20 -346749.765430] AUTODETECT spr round 1 (radius: 5)
[12:32:16 -242843.146011] AUTODETECT spr round 2 (radius: 10)
[12:34:24 -182750.383572] AUTODETECT spr round 3 (radius: 15)
[12:36:43 -146838.232633] AUTODETECT spr round 4 (radius: 20)
[12:39:11 -136850.109053] AUTODETECT spr round 5 (radius: 25)
[12:42:10 -135712.972621] SPR radius for FAST iterations: 25 (autodetect)
[12:42:10 -135712.972621] Model parameter optimization (eps = 3.000000)
[12:42:37 -135477.594262] FAST spr round 1 (radius: 25)
[12:45:21 -121906.640784] FAST spr round 2 (radius: 25)
[12:47:31 -121129.559426] FAST spr round 3 (radius: 25)
[12:49:26 -121058.584627] FAST spr round 4 (radius: 25)
[12:51:12 -121026.116257] FAST spr round 5 (radius: 25)
[12:52:54 -121010.713328] FAST spr round 6 (radius: 25)
[12:54:32 -121005.418678] FAST spr round 7 (radius: 25)
[12:56:06 -121005.414834] Model parameter optimization (eps = 1.000000)
[12:56:20 -121002.396778] SLOW spr round 1 (radius: 5)
[12:58:22 -120972.604308] SLOW spr round 2 (radius: 5)
[13:00:23 -120964.328988] SLOW spr round 3 (radius: 5)
[13:02:18 -120964.326624] SLOW spr round 4 (radius: 10)
[13:04:15 -120962.422435] SLOW spr round 5 (radius: 5)
[13:06:35 -120962.274468] SLOW spr round 6 (radius: 5)
[13:08:40 -120962.274368] SLOW spr round 7 (radius: 10)
[13:10:41 -120962.274270] SLOW spr round 8 (radius: 15)
[13:13:53 -120962.274171] SLOW spr round 9 (radius: 20)
[13:19:04 -120962.274070] SLOW spr round 10 (radius: 25)
[13:26:30 -120962.273968] Model parameter optimization (eps = 0.100000)

[13:26:36] ML tree search #11, logLikelihood: -120962.181547

[13:26:36 -413342.099211] Initial branch length optimization
[13:26:38 -349394.196157] Model parameter optimization (eps = 10.000000)
[13:27:22 -348528.141957] AUTODETECT spr round 1 (radius: 5)
[13:29:17 -242304.335397] AUTODETECT spr round 2 (radius: 10)
[13:31:25 -183458.590361] AUTODETECT spr round 3 (radius: 15)
[13:33:40 -157145.401381] AUTODETECT spr round 4 (radius: 20)
[13:36:08 -141971.470003] AUTODETECT spr round 5 (radius: 25)
[13:38:49 -137572.077495] SPR radius for FAST iterations: 25 (autodetect)
[13:38:49 -137572.077495] Model parameter optimization (eps = 3.000000)
[13:39:12 -137380.967163] FAST spr round 1 (radius: 25)
[13:41:53 -122008.861972] FAST spr round 2 (radius: 25)
[13:43:57 -121107.364013] FAST spr round 3 (radius: 25)
[13:45:45 -121023.875512] FAST spr round 4 (radius: 25)
[13:47:21 -121013.823090] FAST spr round 5 (radius: 25)
[13:48:53 -121012.808321] FAST spr round 6 (radius: 25)
[13:50:26 -121012.604335] FAST spr round 7 (radius: 25)
[13:52:00 -121012.604301] Model parameter optimization (eps = 1.000000)
[13:52:06 -121011.567446] SLOW spr round 1 (radius: 5)
[13:54:10 -120985.265101] SLOW spr round 2 (radius: 5)
[13:56:14 -120973.772917] SLOW spr round 3 (radius: 5)
[13:58:13 -120970.921973] SLOW spr round 4 (radius: 5)
[14:00:07 -120970.921536] SLOW spr round 5 (radius: 10)
[14:02:06 -120970.412893] SLOW spr round 6 (radius: 5)
[14:04:26 -120970.412833] SLOW spr round 7 (radius: 10)
[14:06:34 -120970.412832] SLOW spr round 8 (radius: 15)
[14:09:40 -120966.304320] SLOW spr round 9 (radius: 5)
[14:12:05 -120964.607089] SLOW spr round 10 (radius: 5)
[14:14:14 -120964.606484] SLOW spr round 11 (radius: 10)
[14:16:17 -120964.606479] SLOW spr round 12 (radius: 15)
[14:19:30 -120963.109539] SLOW spr round 13 (radius: 5)
[14:21:55 -120958.273593] SLOW spr round 14 (radius: 5)
[14:24:05 -120958.273334] SLOW spr round 15 (radius: 10)
[14:26:06 -120958.273321] SLOW spr round 16 (radius: 15)
[14:29:18 -120957.956410] SLOW spr round 17 (radius: 5)
[14:31:42 -120957.956331] SLOW spr round 18 (radius: 10)
[14:33:58 -120957.956330] SLOW spr round 19 (radius: 15)
[14:36:58 -120957.956329] SLOW spr round 20 (radius: 20)
[14:42:20 -120956.124769] SLOW spr round 21 (radius: 5)
[14:44:49 -120955.932936] SLOW spr round 22 (radius: 5)
[14:47:03 -120952.693871] SLOW spr round 23 (radius: 5)
[14:49:06 -120945.508113] SLOW spr round 24 (radius: 5)
[14:51:04 -120945.507775] SLOW spr round 25 (radius: 10)
[14:52:58 -120945.507760] SLOW spr round 26 (radius: 15)
[14:56:13 -120945.507758] SLOW spr round 27 (radius: 20)
[15:01:19 -120945.507758] SLOW spr round 28 (radius: 25)
[15:08:11 -120945.507757] Model parameter optimization (eps = 0.100000)

[15:08:27] ML tree search #12, logLikelihood: -120941.982283

[15:08:27 -413520.058697] Initial branch length optimization
[15:08:30 -348179.634641] Model parameter optimization (eps = 10.000000)
[15:09:10 -347033.469708] AUTODETECT spr round 1 (radius: 5)
[15:11:06 -241441.716056] AUTODETECT spr round 2 (radius: 10)
[15:13:13 -188663.899884] AUTODETECT spr round 3 (radius: 15)
[15:15:27 -161715.190093] AUTODETECT spr round 4 (radius: 20)
[15:17:52 -144005.061889] AUTODETECT spr round 5 (radius: 25)
[15:20:31 -140487.172420] SPR radius for FAST iterations: 25 (autodetect)
[15:20:31 -140487.172420] Model parameter optimization (eps = 3.000000)
[15:20:55 -140304.608443] FAST spr round 1 (radius: 25)
[15:23:41 -121977.866658] FAST spr round 2 (radius: 25)
[15:25:56 -121153.569734] FAST spr round 3 (radius: 25)
[15:27:50 -121040.888777] FAST spr round 4 (radius: 25)
[15:29:37 -121021.493482] FAST spr round 5 (radius: 25)
[15:31:16 -121017.814095] FAST spr round 6 (radius: 25)
[15:32:52 -121017.813241] Model parameter optimization (eps = 1.000000)
[15:33:07 -121010.601967] SLOW spr round 1 (radius: 5)
[15:35:16 -120975.836517] SLOW spr round 2 (radius: 5)
[15:37:16 -120968.397232] SLOW spr round 3 (radius: 5)
[15:39:13 -120966.112669] SLOW spr round 4 (radius: 5)
[15:41:09 -120966.112422] SLOW spr round 5 (radius: 10)
[15:43:09 -120961.934033] SLOW spr round 6 (radius: 5)
[15:45:29 -120961.206505] SLOW spr round 7 (radius: 5)
[15:47:36 -120961.206055] SLOW spr round 8 (radius: 10)
[15:49:39 -120960.985901] SLOW spr round 9 (radius: 5)
[15:51:56 -120960.985769] SLOW spr round 10 (radius: 10)
[15:54:08 -120960.985706] SLOW spr round 11 (radius: 15)
[15:57:18 -120960.985642] SLOW spr round 12 (radius: 20)
[16:02:23 -120960.619403] SLOW spr round 13 (radius: 5)
[16:04:49 -120960.617986] SLOW spr round 14 (radius: 10)
[16:07:12 -120960.617890] SLOW spr round 15 (radius: 15)
[16:10:20 -120960.617819] SLOW spr round 16 (radius: 20)
[16:15:24 -120960.617747] SLOW spr round 17 (radius: 25)
[16:22:13 -120960.617674] Model parameter optimization (eps = 0.100000)

[16:22:22] ML tree search #13, logLikelihood: -120960.450978

[16:22:22 -413324.292508] Initial branch length optimization
[16:22:26 -348002.808449] Model parameter optimization (eps = 10.000000)
[16:23:00 -347165.648764] AUTODETECT spr round 1 (radius: 5)
[16:24:51 -241553.748858] AUTODETECT spr round 2 (radius: 10)
[16:26:53 -180189.399878] AUTODETECT spr round 3 (radius: 15)
[16:29:05 -152388.266053] AUTODETECT spr round 4 (radius: 20)
[16:31:46 -145242.908483] AUTODETECT spr round 5 (radius: 25)
[16:34:34 -140125.256372] SPR radius for FAST iterations: 25 (autodetect)
[16:34:34 -140125.256372] Model parameter optimization (eps = 3.000000)
[16:35:05 -139864.419237] FAST spr round 1 (radius: 25)
[16:37:41 -122101.356411] FAST spr round 2 (radius: 25)
[16:39:43 -121216.891944] FAST spr round 3 (radius: 25)
[16:41:36 -121062.037983] FAST spr round 4 (radius: 25)
[16:43:20 -121020.521540] FAST spr round 5 (radius: 25)
[16:45:01 -121004.492152] FAST spr round 6 (radius: 25)
[16:46:37 -120999.639489] FAST spr round 7 (radius: 25)
[16:48:11 -120995.193811] FAST spr round 8 (radius: 25)
[16:49:46 -120993.840903] FAST spr round 9 (radius: 25)
[16:51:19 -120993.840839] Model parameter optimization (eps = 1.000000)
[16:51:29 -120991.983632] SLOW spr round 1 (radius: 5)
[16:53:32 -120974.915507] SLOW spr round 2 (radius: 5)
[16:55:37 -120966.580846] SLOW spr round 3 (radius: 5)
[16:57:34 -120964.725227] SLOW spr round 4 (radius: 5)
[16:59:34 -120958.042526] SLOW spr round 5 (radius: 5)
[17:01:32 -120954.379216] SLOW spr round 6 (radius: 5)
[17:03:27 -120954.379075] SLOW spr round 7 (radius: 10)
[17:05:26 -120951.947202] SLOW spr round 8 (radius: 5)
[17:07:47 -120949.498433] SLOW spr round 9 (radius: 5)
[17:09:54 -120949.498415] SLOW spr round 10 (radius: 10)
[17:11:55 -120949.498415] SLOW spr round 11 (radius: 15)
[17:15:12 -120949.206229] SLOW spr round 12 (radius: 5)
[17:17:38 -120948.652039] SLOW spr round 13 (radius: 5)
[17:19:48 -120948.651733] SLOW spr round 14 (radius: 10)
[17:21:51 -120948.651731] SLOW spr round 15 (radius: 15)
[17:25:04 -120948.651731] SLOW spr round 16 (radius: 20)
[17:30:11 -120948.579506] SLOW spr round 17 (radius: 25)
[17:37:48 -120948.579363] Model parameter optimization (eps = 0.100000)

[17:37:53] ML tree search #14, logLikelihood: -120948.520415

[17:37:53 -409510.110997] Initial branch length optimization
[17:37:56 -345513.050139] Model parameter optimization (eps = 10.000000)
[17:38:26 -344788.450037] AUTODETECT spr round 1 (radius: 5)
[17:40:25 -237621.101316] AUTODETECT spr round 2 (radius: 10)
[17:42:35 -182315.625532] AUTODETECT spr round 3 (radius: 15)
[17:44:50 -153389.516945] AUTODETECT spr round 4 (radius: 20)
[17:47:37 -140924.403375] AUTODETECT spr round 5 (radius: 25)
[17:50:58 -138767.186987] SPR radius for FAST iterations: 25 (autodetect)
[17:50:58 -138767.186987] Model parameter optimization (eps = 3.000000)
[17:51:20 -138588.323426] FAST spr round 1 (radius: 25)
[17:54:00 -122011.563417] FAST spr round 2 (radius: 25)
[17:56:09 -121051.901284] FAST spr round 3 (radius: 25)
[17:57:59 -121015.643670] FAST spr round 4 (radius: 25)
[17:59:36 -121011.926500] FAST spr round 5 (radius: 25)
[18:01:11 -121011.925895] Model parameter optimization (eps = 1.000000)
[18:01:27 -121005.250833] SLOW spr round 1 (radius: 5)
[18:03:34 -120980.829693] SLOW spr round 2 (radius: 5)
[18:05:35 -120972.669715] SLOW spr round 3 (radius: 5)
[18:07:32 -120972.666544] SLOW spr round 4 (radius: 10)
[18:09:30 -120965.024498] SLOW spr round 5 (radius: 5)
[18:11:55 -120960.627681] SLOW spr round 6 (radius: 5)
[18:14:02 -120960.626904] SLOW spr round 7 (radius: 10)
[18:16:03 -120960.626875] SLOW spr round 8 (radius: 15)
[18:19:19 -120960.626858] SLOW spr round 9 (radius: 20)
[18:24:11 -120960.626841] SLOW spr round 10 (radius: 25)
[18:31:14 -120960.626824] Model parameter optimization (eps = 0.100000)

[18:31:24] ML tree search #15, logLikelihood: -120960.257648

[18:31:24 -412359.603835] Initial branch length optimization
[18:31:27 -347248.990598] Model parameter optimization (eps = 10.000000)
[18:31:54 -346562.457297] AUTODETECT spr round 1 (radius: 5)
[18:33:49 -239191.399030] AUTODETECT spr round 2 (radius: 10)
[18:35:56 -175713.586974] AUTODETECT spr round 3 (radius: 15)
[18:38:14 -146290.668384] AUTODETECT spr round 4 (radius: 20)
[18:40:54 -136947.075022] AUTODETECT spr round 5 (radius: 25)
[18:44:07 -135995.971149] SPR radius for FAST iterations: 25 (autodetect)
[18:44:07 -135995.971149] Model parameter optimization (eps = 3.000000)
[18:44:35 -135786.554474] FAST spr round 1 (radius: 25)
[18:47:22 -121456.959073] FAST spr round 2 (radius: 25)
[18:49:29 -121035.864690] FAST spr round 3 (radius: 25)
[18:51:21 -120993.953895] FAST spr round 4 (radius: 25)
[18:53:07 -120983.395137] FAST spr round 5 (radius: 25)
[18:54:45 -120981.685984] FAST spr round 6 (radius: 25)
[18:56:22 -120981.684907] Model parameter optimization (eps = 1.000000)
[18:56:36 -120978.464078] SLOW spr round 1 (radius: 5)
[18:58:39 -120960.736810] SLOW spr round 2 (radius: 5)
[19:00:38 -120956.384635] SLOW spr round 3 (radius: 5)
[19:02:34 -120956.383789] SLOW spr round 4 (radius: 10)
[19:04:27 -120955.030903] SLOW spr round 5 (radius: 5)
[19:06:44 -120955.030590] SLOW spr round 6 (radius: 10)
[19:08:53 -120955.030366] SLOW spr round 7 (radius: 15)
[19:11:56 -120955.030366] SLOW spr round 8 (radius: 20)
[19:17:00 -120955.030366] SLOW spr round 9 (radius: 25)
[19:23:56 -120955.030366] Model parameter optimization (eps = 0.100000)

[19:24:04] ML tree search #16, logLikelihood: -120954.894780

[19:24:04 -411974.513515] Initial branch length optimization
[19:24:07 -347573.833083] Model parameter optimization (eps = 10.000000)
[19:24:33 -346815.755258] AUTODETECT spr round 1 (radius: 5)
[19:26:24 -243646.424555] AUTODETECT spr round 2 (radius: 10)
[19:28:30 -183203.967798] AUTODETECT spr round 3 (radius: 15)
[19:30:44 -158369.671038] AUTODETECT spr round 4 (radius: 20)
[19:33:20 -145651.407607] AUTODETECT spr round 5 (radius: 25)
[19:36:39 -140300.128744] SPR radius for FAST iterations: 25 (autodetect)
[19:36:39 -140300.128744] Model parameter optimization (eps = 3.000000)
[19:37:11 -139961.949753] FAST spr round 1 (radius: 25)
[19:41:03 -122122.995999] FAST spr round 2 (radius: 25)
[19:43:13 -121115.551295] FAST spr round 3 (radius: 25)
[19:45:06 -121031.931366] FAST spr round 4 (radius: 25)
[19:46:50 -121011.345836] FAST spr round 5 (radius: 25)
[19:48:29 -121000.674254] FAST spr round 6 (radius: 25)
[19:50:07 -120993.975671] FAST spr round 7 (radius: 25)
[19:51:41 -120993.975246] Model parameter optimization (eps = 1.000000)
[19:51:56 -120983.333599] SLOW spr round 1 (radius: 5)
[19:53:59 -120954.056247] SLOW spr round 2 (radius: 5)
[19:55:58 -120947.790255] SLOW spr round 3 (radius: 5)
[19:57:56 -120947.052209] SLOW spr round 4 (radius: 5)
[19:59:52 -120947.052193] SLOW spr round 5 (radius: 10)
[20:01:54 -120940.967557] SLOW spr round 6 (radius: 5)
[20:04:18 -120932.906614] SLOW spr round 7 (radius: 5)
[20:06:24 -120932.906418] SLOW spr round 8 (radius: 10)
[20:08:25 -120932.903803] SLOW spr round 9 (radius: 15)
[20:11:45 -120932.019565] SLOW spr round 10 (radius: 5)
[20:14:07 -120932.018979] SLOW spr round 11 (radius: 10)
[20:16:24 -120932.018954] SLOW spr round 12 (radius: 15)
[20:19:27 -120931.678844] SLOW spr round 13 (radius: 5)
[20:21:53 -120928.948348] SLOW spr round 14 (radius: 5)
[20:24:04 -120925.861613] SLOW spr round 15 (radius: 5)
[20:26:07 -120924.091676] SLOW spr round 16 (radius: 5)
[20:28:04 -120924.091591] SLOW spr round 17 (radius: 10)
[20:30:01 -120924.091591] SLOW spr round 18 (radius: 15)
[20:33:29 -120924.091590] SLOW spr round 19 (radius: 20)
[20:38:19 -120924.091590] SLOW spr round 20 (radius: 25)
[20:45:38 -120915.689379] SLOW spr round 21 (radius: 5)
[20:48:07 -120911.518463] SLOW spr round 22 (radius: 5)
[20:50:19 -120911.518411] SLOW spr round 23 (radius: 10)
[20:52:25 -120911.518409] SLOW spr round 24 (radius: 15)
[20:55:41 -120911.518409] SLOW spr round 25 (radius: 20)
[21:00:39 -120911.518408] SLOW spr round 26 (radius: 25)
[21:07:55 -120911.518408] Model parameter optimization (eps = 0.100000)

[21:08:03] ML tree search #17, logLikelihood: -120911.198088

[21:08:03 -411316.528207] Initial branch length optimization
[21:08:05 -347253.250902] Model parameter optimization (eps = 10.000000)
[21:08:33 -346449.202133] AUTODETECT spr round 1 (radius: 5)
[21:10:27 -234956.940816] AUTODETECT spr round 2 (radius: 10)
[21:12:37 -174204.343762] AUTODETECT spr round 3 (radius: 15)
[21:14:56 -152289.068408] AUTODETECT spr round 4 (radius: 20)
[21:17:23 -144683.320417] AUTODETECT spr round 5 (radius: 25)
[21:20:13 -138802.011164] SPR radius for FAST iterations: 25 (autodetect)
[21:20:13 -138802.011164] Model parameter optimization (eps = 3.000000)
[21:20:33 -138602.844224] FAST spr round 1 (radius: 25)
[21:23:24 -122686.026373] FAST spr round 2 (radius: 25)
[21:25:36 -121120.785965] FAST spr round 3 (radius: 25)
[21:27:26 -121030.143174] FAST spr round 4 (radius: 25)
[21:29:10 -121007.232385] FAST spr round 5 (radius: 25)
[21:30:49 -120992.816239] FAST spr round 6 (radius: 25)
[21:32:24 -120992.816136] Model parameter optimization (eps = 1.000000)
[21:32:39 -120983.149881] SLOW spr round 1 (radius: 5)
[21:34:43 -120960.995300] SLOW spr round 2 (radius: 5)
[21:36:42 -120955.617787] SLOW spr round 3 (radius: 5)
[21:38:37 -120955.617592] SLOW spr round 4 (radius: 10)
[21:40:36 -120950.482397] SLOW spr round 5 (radius: 5)
[21:42:56 -120949.566436] SLOW spr round 6 (radius: 5)
[21:45:04 -120949.566023] SLOW spr round 7 (radius: 10)
[21:47:06 -120949.566016] SLOW spr round 8 (radius: 15)
[21:50:23 -120949.402611] SLOW spr round 9 (radius: 5)
[21:52:47 -120949.402193] SLOW spr round 10 (radius: 10)
[21:55:01 -120949.402183] SLOW spr round 11 (radius: 15)
[21:58:07 -120949.402182] SLOW spr round 12 (radius: 20)
[22:03:07 -120949.070612] SLOW spr round 13 (radius: 5)
[22:05:32 -120949.070535] SLOW spr round 14 (radius: 10)
[22:07:52 -120948.543910] SLOW spr round 15 (radius: 5)
[22:10:08 -120948.543910] SLOW spr round 16 (radius: 10)
[22:12:15 -120948.543910] SLOW spr round 17 (radius: 15)
[22:15:24 -120948.543910] SLOW spr round 18 (radius: 20)
[22:20:19 -120948.543910] SLOW spr round 19 (radius: 25)
[22:27:22 -120946.860709] SLOW spr round 20 (radius: 5)
[22:29:45 -120946.860651] SLOW spr round 21 (radius: 10)
[22:32:04 -120946.860650] SLOW spr round 22 (radius: 15)
[22:35:05 -120946.294229] SLOW spr round 23 (radius: 5)
[22:37:29 -120946.293890] SLOW spr round 24 (radius: 10)
[22:39:43 -120946.293886] SLOW spr round 25 (radius: 15)
[22:42:35 -120946.293886] SLOW spr round 26 (radius: 20)
[22:47:13 -120946.293886] SLOW spr round 27 (radius: 25)
[22:54:04 -120946.293886] Model parameter optimization (eps = 0.100000)

[22:54:09] ML tree search #18, logLikelihood: -120946.240069

[22:54:09 -413746.166033] Initial branch length optimization
[22:54:12 -349121.208089] Model parameter optimization (eps = 10.000000)
[22:54:45 -348436.220413] AUTODETECT spr round 1 (radius: 5)
[22:56:41 -244279.173352] AUTODETECT spr round 2 (radius: 10)
[22:58:51 -182720.463775] AUTODETECT spr round 3 (radius: 15)
[23:01:08 -151407.727358] AUTODETECT spr round 4 (radius: 20)
[23:03:30 -140182.149838] AUTODETECT spr round 5 (radius: 25)
[23:06:27 -139407.709654] SPR radius for FAST iterations: 25 (autodetect)
[23:06:27 -139407.709654] Model parameter optimization (eps = 3.000000)
[23:06:52 -139156.066730] FAST spr round 1 (radius: 25)
[23:09:44 -121786.423861] FAST spr round 2 (radius: 25)
[23:11:49 -121071.316436] FAST spr round 3 (radius: 25)
[23:13:43 -121024.931337] FAST spr round 4 (radius: 25)
[23:15:27 -121004.110742] FAST spr round 5 (radius: 25)
[23:17:06 -121002.872898] FAST spr round 6 (radius: 25)
[23:18:41 -121002.872843] Model parameter optimization (eps = 1.000000)
[23:18:56 -120997.751610] SLOW spr round 1 (radius: 5)
[23:21:00 -120963.009182] SLOW spr round 2 (radius: 5)
[23:23:01 -120952.682737] SLOW spr round 3 (radius: 5)
[23:24:59 -120950.858663] SLOW spr round 4 (radius: 5)
[23:26:55 -120950.858183] SLOW spr round 5 (radius: 10)
[23:28:51 -120949.576287] SLOW spr round 6 (radius: 5)
[23:31:10 -120949.575701] SLOW spr round 7 (radius: 10)
[23:33:21 -120948.369076] SLOW spr round 8 (radius: 5)
[23:35:39 -120945.036801] SLOW spr round 9 (radius: 5)
[23:37:44 -120945.036471] SLOW spr round 10 (radius: 10)
[23:39:44 -120944.078557] SLOW spr round 11 (radius: 5)
[23:42:03 -120944.078426] SLOW spr round 12 (radius: 10)
[23:44:12 -120944.078418] SLOW spr round 13 (radius: 15)
[23:47:12 -120944.078417] SLOW spr round 14 (radius: 20)
[23:52:20 -120944.078416] SLOW spr round 15 (radius: 25)
[23:59:09 -120944.078416] Model parameter optimization (eps = 0.100000)

[23:59:14] ML tree search #19, logLikelihood: -120944.055419

[23:59:14 -412701.759087] Initial branch length optimization
[23:59:16 -349893.031349] Model parameter optimization (eps = 10.000000)
[23:59:44 -349042.770861] AUTODETECT spr round 1 (radius: 5)
[24:01:39 -241806.304788] AUTODETECT spr round 2 (radius: 10)
[24:03:50 -183277.334356] AUTODETECT spr round 3 (radius: 15)
[24:06:04 -149809.798491] AUTODETECT spr round 4 (radius: 20)
[24:08:32 -138711.957449] AUTODETECT spr round 5 (radius: 25)
[24:11:41 -136575.545099] SPR radius for FAST iterations: 25 (autodetect)
[24:11:41 -136575.545099] Model parameter optimization (eps = 3.000000)
[24:12:00 -136371.368352] FAST spr round 1 (radius: 25)
[24:14:51 -121681.289857] FAST spr round 2 (radius: 25)
[24:17:03 -121118.765546] FAST spr round 3 (radius: 25)
[24:18:55 -121056.153286] FAST spr round 4 (radius: 25)
[24:20:38 -121026.063250] FAST spr round 5 (radius: 25)
[24:22:16 -121024.432073] FAST spr round 6 (radius: 25)
[24:23:54 -121022.145310] FAST spr round 7 (radius: 25)
[24:25:29 -121022.139814] Model parameter optimization (eps = 1.000000)
[24:25:45 -121018.568448] SLOW spr round 1 (radius: 5)
[24:27:52 -120982.960585] SLOW spr round 2 (radius: 5)
[24:29:56 -120974.415925] SLOW spr round 3 (radius: 5)
[24:32:00 -120973.484230] SLOW spr round 4 (radius: 5)
[24:33:57 -120971.571768] SLOW spr round 5 (radius: 5)
[24:35:54 -120971.571420] SLOW spr round 6 (radius: 10)
[24:37:55 -120962.712477] SLOW spr round 7 (radius: 5)
[24:40:19 -120955.030099] SLOW spr round 8 (radius: 5)
[24:42:27 -120954.486699] SLOW spr round 9 (radius: 5)
[24:44:28 -120954.361651] SLOW spr round 10 (radius: 5)
[24:46:25 -120954.361610] SLOW spr round 11 (radius: 10)
[24:48:25 -120948.638782] SLOW spr round 12 (radius: 5)
[24:50:47 -120947.990985] SLOW spr round 13 (radius: 5)
[24:52:54 -120947.990967] SLOW spr round 14 (radius: 10)
[24:54:55 -120947.990959] SLOW spr round 15 (radius: 15)
[24:58:02 -120947.990955] SLOW spr round 16 (radius: 20)
[25:02:50 -120947.990952] SLOW spr round 17 (radius: 25)
[25:09:19 -120947.990948] Model parameter optimization (eps = 0.100000)

[25:09:31] ML tree search #20, logLikelihood: -120947.187356


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.160384,0.366523) (0.220835,0.556574) (0.381735,1.110503) (0.237045,1.663758) 
   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: -120911.198088

AIC score: 245832.396177 / AICc score: 8289892.396177 / BIC score: 254466.478127
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=548).
         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/Q96AY3/3_mltree/Q96AY3.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q96AY3/3_mltree/Q96AY3.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q96AY3/3_mltree/Q96AY3.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q96AY3/3_mltree/Q96AY3.raxml.log

Analysis started: 03-Jul-2021 04:16:11 / finished: 04-Jul-2021 05:25:43

Elapsed time: 90572.144 seconds

Consumed energy: 8332.727 Wh (= 42 km in an electric car, or 208 km with an e-scooter!)