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

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

RAxML-NG was called at 25-Jul-2021 06:36:09 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/O60658/2_msa/O60658_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/O60658/3_mltree/O60658 --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: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/O60658/2_msa/O60658_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 492 sites

WARNING: Sequences tr_B4Q398_B4Q398_DROSI_7240 and tr_B4HX83_B4HX83_DROSE_7238 are exactly identical!
WARNING: Sequences tr_F1NDU5_F1NDU5_CHICK_9031 and tr_A0A226NGA0_A0A226NGA0_CALSU_9009 are exactly identical!
WARNING: Sequences tr_F1NDU5_F1NDU5_CHICK_9031 and tr_A0A226PR46_A0A226PR46_COLVI_9014 are exactly identical!
WARNING: Sequences sp_Q01063_PDE4D_MOUSE_10090 and tr_M3Y7N4_M3Y7N4_MUSPF_9669 are exactly identical!
WARNING: Sequences sp_Q01063_PDE4D_MOUSE_10090 and tr_G1T1S6_G1T1S6_RABIT_9986 are exactly identical!
WARNING: Sequences sp_Q01063_PDE4D_MOUSE_10090 and tr_F1PKQ9_F1PKQ9_CANLF_9615 are exactly identical!
WARNING: Sequences sp_Q01063_PDE4D_MOUSE_10090 and tr_A0A2R8MAN6_A0A2R8MAN6_CALJA_9483 are exactly identical!
WARNING: Sequences sp_Q01063_PDE4D_MOUSE_10090 and tr_A0A287A603_A0A287A603_PIG_9823 are exactly identical!
WARNING: Sequences sp_Q01063_PDE4D_MOUSE_10090 and tr_G1LA56_G1LA56_AILME_9646 are exactly identical!
WARNING: Sequences sp_Q01063_PDE4D_MOUSE_10090 and tr_A0A1S3FVX2_A0A1S3FVX2_DIPOR_10020 are exactly identical!
WARNING: Sequences sp_Q01063_PDE4D_MOUSE_10090 and tr_A0A2U3WJ01_A0A2U3WJ01_ODORO_9708 are exactly identical!
WARNING: Sequences sp_Q01063_PDE4D_MOUSE_10090 and tr_A0A2U3X9A5_A0A2U3X9A5_LEPWE_9713 are exactly identical!
WARNING: Sequences sp_Q01063_PDE4D_MOUSE_10090 and tr_A0A2Y9DSW1_A0A2Y9DSW1_TRIMA_127582 are exactly identical!
WARNING: Sequences sp_Q01063_PDE4D_MOUSE_10090 and tr_A0A2Y9KJF3_A0A2Y9KJF3_ENHLU_391180 are exactly identical!
WARNING: Sequences sp_Q01063_PDE4D_MOUSE_10090 and tr_A0A384C5A4_A0A384C5A4_URSMA_29073 are exactly identical!
WARNING: Sequences sp_Q6NNF2_PDE8_DROME_7227 and tr_B4I8R1_B4I8R1_DROSE_7238 are exactly identical!
WARNING: Sequences tr_A0A2I3GA09_A0A2I3GA09_NOMLE_61853 and tr_G3QV66_G3QV66_GORGO_9595 are exactly identical!
WARNING: Sequences tr_A0A2I3GA09_A0A2I3GA09_NOMLE_61853 and tr_H2N752_H2N752_PONAB_9601 are exactly identical!
WARNING: Sequences tr_A0A2I3GA09_A0A2I3GA09_NOMLE_61853 and tr_A0A2J8NHG1_A0A2J8NHG1_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A2I3GA09_A0A2I3GA09_NOMLE_61853 and sp_Q07343_PDE4B_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2I3GA09_A0A2I3GA09_NOMLE_61853 and tr_F6QKI6_F6QKI6_MACMU_9544 are exactly identical!
WARNING: Sequences tr_A0A2I3GA09_A0A2I3GA09_NOMLE_61853 and tr_U3DD68_U3DD68_CALJA_9483 are exactly identical!
WARNING: Sequences tr_A0A2I3GA09_A0A2I3GA09_NOMLE_61853 and tr_G7NW27_G7NW27_MACFA_9541 are exactly identical!
WARNING: Sequences tr_A0A2I3GA09_A0A2I3GA09_NOMLE_61853 and tr_A0A2I3MDK2_A0A2I3MDK2_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A2I3GA09_A0A2I3GA09_NOMLE_61853 and tr_A0A2K6DQY6_A0A2K6DQY6_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A2I3GA09_A0A2I3GA09_NOMLE_61853 and tr_A0A2R9AWP0_A0A2R9AWP0_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3GAU7_A0A2I3GAU7_NOMLE_61853 and tr_A0A2I2YTP7_A0A2I2YTP7_GORGO_9595 are exactly identical!
WARNING: Sequences tr_A0A2I3GAU7_A0A2I3GAU7_NOMLE_61853 and tr_H2PFM2_H2PFM2_PONAB_9601 are exactly identical!
WARNING: Sequences tr_A0A2I3GAU7_A0A2I3GAU7_NOMLE_61853 and tr_A0A2I3RRZ5_A0A2I3RRZ5_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A2I3GAU7_A0A2I3GAU7_NOMLE_61853 and sp_Q08499_PDE4D_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2I3GAU7_A0A2I3GAU7_NOMLE_61853 and tr_F7GZT2_F7GZT2_MACMU_9544 are exactly identical!
WARNING: Sequences tr_A0A2I3GAU7_A0A2I3GAU7_NOMLE_61853 and tr_G7P7K3_G7P7K3_MACFA_9541 are exactly identical!
WARNING: Sequences tr_A0A2I3GAU7_A0A2I3GAU7_NOMLE_61853 and tr_A0A2K5LDG4_A0A2K5LDG4_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A2I3GAU7_A0A2I3GAU7_NOMLE_61853 and tr_A0A2K6BBV4_A0A2K6BBV4_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A2I3GAU7_A0A2I3GAU7_NOMLE_61853 and tr_A0A2K5XU66_A0A2K5XU66_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2I3GAU7_A0A2I3GAU7_NOMLE_61853 and tr_A0A2R9CIT7_A0A2R9CIT7_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3GCA2_A0A2I3GCA2_NOMLE_61853 and tr_K6ZBE9_K6ZBE9_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A2I3GCA2_A0A2I3GCA2_NOMLE_61853 and sp_Q13946_PDE7A_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2I3HC91_A0A2I3HC91_NOMLE_61853 and tr_A0A2I2ZSQ4_A0A2I2ZSQ4_GORGO_9595 are exactly identical!
WARNING: Sequences tr_A0A2I3HC91_A0A2I3HC91_NOMLE_61853 and sp_O95263_PDE8B_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3RN05_G3RN05_GORGO_9595 and tr_H2QA09_H2QA09_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3RN05_G3RN05_GORGO_9595 and tr_F7FU86_F7FU86_MACMU_9544 are exactly identical!
WARNING: Sequences tr_G3RN05_G3RN05_GORGO_9595 and tr_G7P9C6_G7P9C6_MACFA_9541 are exactly identical!
WARNING: Sequences tr_G3RN05_G3RN05_GORGO_9595 and tr_A0A0D9RXG6_A0A0D9RXG6_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_G3RN05_G3RN05_GORGO_9595 and tr_A0A2K6E528_A0A2K6E528_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G3RN05_G3RN05_GORGO_9595 and tr_A0A2R9CK05_A0A2R9CK05_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3TUK1_A0A2I3TUK1_PANTR_9598 and tr_F6X2P4_F6X2P4_MACMU_9544 are exactly identical!
WARNING: Sequences tr_A0A2I3TUK1_A0A2I3TUK1_PANTR_9598 and tr_A0A0A0MUQ3_A0A0A0MUQ3_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A2J8LT97_A0A2J8LT97_PANTR_9598 and sp_Q08493_PDE4C_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_F7ANH5_F7ANH5_HORSE_9796 and tr_A0A1U7TVG6_A0A1U7TVG6_TARSY_1868482 are exactly identical!
WARNING: Sequences tr_A0A158NNE0_A0A158NNE0_ATTCE_12957 and tr_F4WJP5_F4WJP5_ACREC_103372 are exactly identical!
WARNING: Sequences tr_A0A158NNE0_A0A158NNE0_ATTCE_12957 and tr_A0A195AUW3_A0A195AUW3_9HYME_520822 are exactly identical!
WARNING: Sequences tr_A0A287CVQ6_A0A287CVQ6_ICTTR_43179 and tr_A0A1S3FHT7_A0A1S3FHT7_DIPOR_10020 are exactly identical!
WARNING: Sequences tr_F7DG78_F7DG78_MACMU_9544 and tr_A0A2K5MVR4_A0A2K5MVR4_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F7DG78_F7DG78_MACMU_9544 and tr_A0A2K5ZWY9_A0A2K5ZWY9_MANLE_9568 are exactly identical!
WARNING: Sequences tr_G7MZG5_G7MZG5_MACMU_9544 and tr_G7PBY0_G7PBY0_MACFA_9541 are exactly identical!
WARNING: Sequences tr_G7MZG5_G7MZG5_MACMU_9544 and tr_A0A2K5NPA2_A0A2K5NPA2_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G7MZG5_G7MZG5_MACMU_9544 and tr_A0A2K6CUX4_A0A2K6CUX4_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G7MZG5_G7MZG5_MACMU_9544 and tr_A0A2K5YZ84_A0A2K5YZ84_MANLE_9568 are exactly identical!
WARNING: Sequences tr_H0ZLY6_H0ZLY6_TAEGU_59729 and tr_A0A091UTP6_A0A091UTP6_NIPNI_128390 are exactly identical!
WARNING: Sequences tr_F1MS27_F1MS27_BOVIN_9913 and tr_A0A091DNU1_A0A091DNU1_FUKDA_885580 are exactly identical!
WARNING: Sequences tr_U3K8Z6_U3K8Z6_FICAL_59894 and tr_A0A218V963_A0A218V963_9PASE_299123 are exactly identical!
WARNING: Sequences tr_U3KEB1_U3KEB1_FICAL_59894 and tr_A0A218UJI2_A0A218UJI2_9PASE_299123 are exactly identical!
WARNING: Sequences tr_W2R703_W2R703_PHYPN_761204 and tr_A0A0W8DWF1_A0A0W8DWF1_PHYNI_4790 are exactly identical!
WARNING: Sequences tr_W2R703_W2R703_PHYPN_761204 and tr_W2GSS7_W2GSS7_PHYPR_4792 are exactly identical!
WARNING: Sequences tr_A0A151M9D7_A0A151M9D7_ALLMI_8496 and tr_A0A3Q0H750_A0A3Q0H750_ALLSI_38654 are exactly identical!
WARNING: Sequences tr_A0A091WM67_A0A091WM67_NIPNI_128390 and tr_A0A087QWQ9_A0A087QWQ9_APTFO_9233 are exactly identical!
WARNING: Sequences tr_A0A2I0M599_A0A2I0M599_COLLI_8932 and tr_A0A1V4KRN8_A0A1V4KRN8_PATFA_372326 are exactly identical!
WARNING: Sequences tr_A0A2I0MD06_A0A2I0MD06_COLLI_8932 and tr_A0A1V4JE74_A0A1V4JE74_PATFA_372326 are exactly identical!
WARNING: Sequences tr_A0A1S3KER7_A0A1S3KER7_LINUN_7574 and tr_A0A1S3KES0_A0A1S3KES0_LINUN_7574 are exactly identical!
WARNING: Sequences tr_A0A1S3KER7_A0A1S3KER7_LINUN_7574 and tr_A0A1S3KES1_A0A1S3KES1_LINUN_7574 are exactly identical!
WARNING: Sequences tr_A0A1S3KER7_A0A1S3KER7_LINUN_7574 and tr_A0A1S3KES5_A0A1S3KES5_LINUN_7574 are exactly identical!
WARNING: Sequences tr_A0A1S3KER7_A0A1S3KER7_LINUN_7574 and tr_A0A1S3KES6_A0A1S3KES6_LINUN_7574 are exactly identical!
WARNING: Sequences tr_A0A1S3KER7_A0A1S3KER7_LINUN_7574 and tr_A0A1S3KF58_A0A1S3KF58_LINUN_7574 are exactly identical!
WARNING: Sequences tr_A0A1S3KER7_A0A1S3KER7_LINUN_7574 and tr_A0A1S3KF63_A0A1S3KF63_LINUN_7574 are exactly identical!
WARNING: Sequences tr_A0A1S3KER7_A0A1S3KER7_LINUN_7574 and tr_A0A1S3KF68_A0A1S3KF68_LINUN_7574 are exactly identical!
WARNING: Sequences tr_A0A1S3KER7_A0A1S3KER7_LINUN_7574 and tr_A0A1S3KF92_A0A1S3KF92_LINUN_7574 are exactly identical!
WARNING: Sequences tr_A0A1S3KER7_A0A1S3KER7_LINUN_7574 and tr_A0A1S3KF97_A0A1S3KF97_LINUN_7574 are exactly identical!
WARNING: Sequences tr_A0A1S3KER7_A0A1S3KER7_LINUN_7574 and tr_A0A1S3KFA2_A0A1S3KFA2_LINUN_7574 are exactly identical!
WARNING: Sequences tr_A0A1S3KER7_A0A1S3KER7_LINUN_7574 and tr_A0A1S3KFW4_A0A1S3KFW4_LINUN_7574 are exactly identical!
WARNING: Sequences tr_A0A1S3KER7_A0A1S3KER7_LINUN_7574 and tr_A0A1S3KFW9_A0A1S3KFW9_LINUN_7574 are exactly identical!
WARNING: Sequences tr_A0A1S3KER7_A0A1S3KER7_LINUN_7574 and tr_A0A1S3KFX5_A0A1S3KFX5_LINUN_7574 are exactly identical!
WARNING: Sequences tr_A0A1S3PH62_A0A1S3PH62_SALSA_8030 and tr_A0A1S3PK34_A0A1S3PK34_SALSA_8030 are exactly identical!
WARNING: Sequences tr_A0A2D0QYE2_A0A2D0QYE2_ICTPU_7998 and tr_A0A2D0QYM3_A0A2D0QYM3_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0QYE2_A0A2D0QYE2_ICTPU_7998 and tr_A0A2D0QYM8_A0A2D0QYM8_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0QYE2_A0A2D0QYE2_ICTPU_7998 and tr_A0A2D0R071_A0A2D0R071_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0QYE2_A0A2D0QYE2_ICTPU_7998 and tr_A0A2D0R0W4_A0A2D0R0W4_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0R910_A0A2D0R910_ICTPU_7998 and tr_A0A2D0R912_A0A2D0R912_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0RTK0_A0A2D0RTK0_ICTPU_7998 and tr_A0A2D0RTK9_A0A2D0RTK9_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0RTK0_A0A2D0RTK0_ICTPU_7998 and tr_A0A2D0RTL4_A0A2D0RTL4_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0RTK0_A0A2D0RTK0_ICTPU_7998 and tr_A0A2D0RV47_A0A2D0RV47_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0RTK0_A0A2D0RTK0_ICTPU_7998 and tr_A0A2D0RV52_A0A2D0RV52_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0RTK0_A0A2D0RTK0_ICTPU_7998 and tr_W5UKU3_W5UKU3_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0SPQ5_A0A2D0SPQ5_ICTPU_7998 and tr_A0A2D0SPR7_A0A2D0SPR7_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0SPQ5_A0A2D0SPQ5_ICTPU_7998 and tr_A0A2D0SQX2_A0A2D0SQX2_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0SPR2_A0A2D0SPR2_ICTPU_7998 and tr_A0A2D0SPR4_A0A2D0SPR4_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0SPR2_A0A2D0SPR2_ICTPU_7998 and tr_A0A2D0SQY3_A0A2D0SQY3_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2K5LKV4_A0A2K5LKV4_CERAT_9531 and tr_A0A2K6A3I5_A0A2K6A3I5_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2K5N4R6_A0A2K5N4R6_CERAT_9531 and tr_A0A2K5ZUQ2_A0A2K5ZUQ2_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2U4AX70_A0A2U4AX70_TURTR_9739 and tr_A0A2Y9Q5E2_A0A2Y9Q5E2_DELLE_9749 are exactly identical!
WARNING: Sequences tr_A0A2U4AX70_A0A2U4AX70_TURTR_9739 and tr_A0A2Y9SFC5_A0A2Y9SFC5_PHYCD_9755 are exactly identical!
WARNING: Sequences tr_A0A2U4AX70_A0A2U4AX70_TURTR_9739 and tr_A0A383ZLU8_A0A383ZLU8_BALAS_310752 are exactly identical!
WARNING: Duplicate sequences found: 102

NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) 
NOTE: was saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/O60658/3_mltree/O60658.raxml.reduced.phy

Alignment comprises 1 partitions and 492 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 492 / 492
Gaps: 10.64 %
Invariant sites: 0.41 %


NOTE: Binary MSA file already exists: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/O60658/3_mltree/O60658.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 / 71 / 5680
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -747949.066207] Initial branch length optimization
[00:00:03 -580610.489104] Model parameter optimization (eps = 10.000000)
[00:00:30 -577141.405345] AUTODETECT spr round 1 (radius: 5)
[00:02:24 -378250.963640] AUTODETECT spr round 2 (radius: 10)
[00:04:27 -275094.337608] AUTODETECT spr round 3 (radius: 15)
[00:06:39 -230111.786500] AUTODETECT spr round 4 (radius: 20)
[00:09:03 -205542.543034] AUTODETECT spr round 5 (radius: 25)
[00:11:59 -184480.128191] SPR radius for FAST iterations: 25 (autodetect)
[00:11:59 -184480.128191] Model parameter optimization (eps = 3.000000)
[00:12:29 -184166.305453] FAST spr round 1 (radius: 25)
[00:14:43 -151951.388772] FAST spr round 2 (radius: 25)
[00:16:27 -150135.363284] FAST spr round 3 (radius: 25)
[00:18:03 -149825.064534] FAST spr round 4 (radius: 25)
[00:19:37 -149783.813998] FAST spr round 5 (radius: 25)
[00:21:05 -149783.813377] Model parameter optimization (eps = 1.000000)
[00:21:18 -149781.734941] SLOW spr round 1 (radius: 5)
[00:23:07 -149761.221159] SLOW spr round 2 (radius: 5)
[00:24:51 -149761.220666] SLOW spr round 3 (radius: 10)
[00:26:34 -149759.303045] SLOW spr round 4 (radius: 5)
[00:28:39 -149759.065172] SLOW spr round 5 (radius: 5)
[00:30:37 -149759.065170] SLOW spr round 6 (radius: 10)
[00:32:28 -149759.065170] SLOW spr round 7 (radius: 15)
[00:34:55 -149759.065170] SLOW spr round 8 (radius: 20)
[00:38:18 -149759.065169] SLOW spr round 9 (radius: 25)
[00:42:28 -149759.065169] Model parameter optimization (eps = 0.100000)

[00:42:33] ML tree search #1, logLikelihood: -149759.036005

[00:42:33 -737802.369223] Initial branch length optimization
[00:42:36 -570708.661008] Model parameter optimization (eps = 10.000000)
[00:43:01 -567240.242797] AUTODETECT spr round 1 (radius: 5)
[00:44:55 -372822.450062] AUTODETECT spr round 2 (radius: 10)
[00:46:56 -268069.377105] AUTODETECT spr round 3 (radius: 15)
[00:49:18 -220968.895930] AUTODETECT spr round 4 (radius: 20)
[00:51:37 -196416.255914] AUTODETECT spr round 5 (radius: 25)
[00:54:21 -192342.359754] SPR radius for FAST iterations: 25 (autodetect)
[00:54:21 -192342.359754] Model parameter optimization (eps = 3.000000)
[00:54:41 -192076.524635] FAST spr round 1 (radius: 25)
[00:57:02 -155755.447969] FAST spr round 2 (radius: 25)
[00:58:54 -150792.293847] FAST spr round 3 (radius: 25)
[01:00:33 -149900.104984] FAST spr round 4 (radius: 25)
[01:02:09 -149823.834262] FAST spr round 5 (radius: 25)
[01:03:40 -149794.643903] FAST spr round 6 (radius: 25)
[01:05:11 -149790.479302] FAST spr round 7 (radius: 25)
[01:06:39 -149790.479265] Model parameter optimization (eps = 1.000000)
[01:06:55 -149786.209410] SLOW spr round 1 (radius: 5)
[01:08:41 -149753.558743] SLOW spr round 2 (radius: 5)
[01:10:28 -149752.110507] SLOW spr round 3 (radius: 5)
[01:12:14 -149752.004129] SLOW spr round 4 (radius: 5)
[01:13:58 -149752.003465] SLOW spr round 5 (radius: 10)
[01:15:42 -149752.003056] SLOW spr round 6 (radius: 15)
[01:18:14 -149752.002946] SLOW spr round 7 (radius: 20)
[01:21:34 -149752.002900] SLOW spr round 8 (radius: 25)
[01:25:43 -149752.002881] Model parameter optimization (eps = 0.100000)

[01:25:48] ML tree search #2, logLikelihood: -149751.955180

[01:25:48 -747965.207109] Initial branch length optimization
[01:25:51 -583215.048483] Model parameter optimization (eps = 10.000000)
[01:26:14 -579642.965698] AUTODETECT spr round 1 (radius: 5)
[01:28:04 -368670.730527] AUTODETECT spr round 2 (radius: 10)
[01:30:06 -266837.615440] AUTODETECT spr round 3 (radius: 15)
[01:32:23 -218834.920912] AUTODETECT spr round 4 (radius: 20)
[01:34:55 -191675.002192] AUTODETECT spr round 5 (radius: 25)
[01:37:50 -178288.053929] SPR radius for FAST iterations: 25 (autodetect)
[01:37:50 -178288.053929] Model parameter optimization (eps = 3.000000)
[01:38:11 -178104.964007] FAST spr round 1 (radius: 25)
[01:40:24 -152139.340032] FAST spr round 2 (radius: 25)
[01:42:17 -150102.115045] FAST spr round 3 (radius: 25)
[01:43:58 -149860.136384] FAST spr round 4 (radius: 25)
[01:45:32 -149810.628614] FAST spr round 5 (radius: 25)
[01:47:04 -149808.327991] FAST spr round 6 (radius: 25)
[01:48:35 -149802.650781] FAST spr round 7 (radius: 25)
[01:50:06 -149799.064449] FAST spr round 8 (radius: 25)
[01:51:36 -149798.620076] FAST spr round 9 (radius: 25)
[01:53:04 -149798.619780] Model parameter optimization (eps = 1.000000)
[01:53:17 -149789.506042] SLOW spr round 1 (radius: 5)
[01:55:05 -149767.167941] SLOW spr round 2 (radius: 5)
[01:56:53 -149760.872770] SLOW spr round 3 (radius: 5)
[01:58:40 -149757.579652] SLOW spr round 4 (radius: 5)
[02:00:29 -149757.579512] SLOW spr round 5 (radius: 10)
[02:02:20 -149757.579334] SLOW spr round 6 (radius: 15)
[02:04:54 -149757.474707] SLOW spr round 7 (radius: 5)
[02:07:07 -149757.474705] SLOW spr round 8 (radius: 10)
[02:09:08 -149757.474704] SLOW spr round 9 (radius: 15)
[02:11:32 -149757.474703] SLOW spr round 10 (radius: 20)
[02:15:02 -149757.474702] SLOW spr round 11 (radius: 25)
[02:19:19 -149757.474701] Model parameter optimization (eps = 0.100000)

[02:19:25] ML tree search #3, logLikelihood: -149757.468462

[02:19:25 -742875.249992] Initial branch length optimization
[02:19:27 -579179.485333] Model parameter optimization (eps = 10.000000)
[02:19:59 -575573.417630] AUTODETECT spr round 1 (radius: 5)
[02:21:52 -374862.167017] AUTODETECT spr round 2 (radius: 10)
[02:23:53 -259895.375263] AUTODETECT spr round 3 (radius: 15)
[02:26:02 -211859.463362] AUTODETECT spr round 4 (radius: 20)
[02:28:26 -192259.720884] AUTODETECT spr round 5 (radius: 25)
[02:31:10 -176252.735990] SPR radius for FAST iterations: 25 (autodetect)
[02:31:10 -176252.735990] Model parameter optimization (eps = 3.000000)
[02:31:31 -176044.960207] FAST spr round 1 (radius: 25)
[02:33:49 -151049.898040] FAST spr round 2 (radius: 25)
[02:35:43 -149869.017751] FAST spr round 3 (radius: 25)
[02:37:23 -149805.424151] FAST spr round 4 (radius: 25)
[02:38:56 -149798.116615] FAST spr round 5 (radius: 25)
[02:40:27 -149798.115888] Model parameter optimization (eps = 1.000000)
[02:40:44 -149786.764431] SLOW spr round 1 (radius: 5)
[02:42:35 -149764.905349] SLOW spr round 2 (radius: 5)
[02:44:24 -149760.708084] SLOW spr round 3 (radius: 5)
[02:46:08 -149760.707685] SLOW spr round 4 (radius: 10)
[02:47:53 -149760.707605] SLOW spr round 5 (radius: 15)
[02:50:25 -149760.602575] SLOW spr round 6 (radius: 5)
[02:52:33 -149760.602504] SLOW spr round 7 (radius: 10)
[02:54:36 -149760.602477] SLOW spr round 8 (radius: 15)
[02:57:04 -149760.602455] SLOW spr round 9 (radius: 20)
[03:00:44 -149759.083577] SLOW spr round 10 (radius: 5)
[03:02:58 -149759.083498] SLOW spr round 11 (radius: 10)
[03:05:02 -149759.083487] SLOW spr round 12 (radius: 15)
[03:07:26 -149759.083477] SLOW spr round 13 (radius: 20)
[03:11:04 -149759.083469] SLOW spr round 14 (radius: 25)
[03:15:26 -149759.083463] Model parameter optimization (eps = 0.100000)

[03:15:40] ML tree search #4, logLikelihood: -149758.253784

[03:15:40 -747683.092175] Initial branch length optimization
[03:15:42 -581008.362607] Model parameter optimization (eps = 10.000000)
[03:16:10 -577490.968612] AUTODETECT spr round 1 (radius: 5)
[03:18:03 -384186.985443] AUTODETECT spr round 2 (radius: 10)
[03:20:07 -278218.322912] AUTODETECT spr round 3 (radius: 15)
[03:22:23 -211001.290742] AUTODETECT spr round 4 (radius: 20)
[03:24:36 -191405.663195] AUTODETECT spr round 5 (radius: 25)
[03:27:12 -186181.018423] SPR radius for FAST iterations: 25 (autodetect)
[03:27:12 -186181.018423] Model parameter optimization (eps = 3.000000)
[03:27:35 -185883.228234] FAST spr round 1 (radius: 25)
[03:29:51 -154010.759384] FAST spr round 2 (radius: 25)
[03:31:42 -149962.277794] FAST spr round 3 (radius: 25)
[03:33:25 -149812.957183] FAST spr round 4 (radius: 25)
[03:35:00 -149797.748350] FAST spr round 5 (radius: 25)
[03:36:33 -149793.963369] FAST spr round 6 (radius: 25)
[03:38:04 -149793.951788] Model parameter optimization (eps = 1.000000)
[03:38:19 -149784.535295] SLOW spr round 1 (radius: 5)
[03:40:11 -149760.805120] SLOW spr round 2 (radius: 5)
[03:42:06 -149757.262699] SLOW spr round 3 (radius: 5)
[03:43:58 -149757.258162] SLOW spr round 4 (radius: 10)
[03:45:49 -149757.152344] SLOW spr round 5 (radius: 5)
[03:47:59 -149757.151876] SLOW spr round 6 (radius: 10)
[03:49:59 -149757.151688] SLOW spr round 7 (radius: 15)
[03:52:26 -149755.576193] SLOW spr round 8 (radius: 5)
[03:54:41 -149755.576127] SLOW spr round 9 (radius: 10)
[03:56:44 -149755.576122] SLOW spr round 10 (radius: 15)
[03:59:08 -149755.576120] SLOW spr round 11 (radius: 20)
[04:02:41 -149755.576119] SLOW spr round 12 (radius: 25)
[04:06:52 -149755.576119] Model parameter optimization (eps = 0.100000)

[04:07:04] ML tree search #5, logLikelihood: -149755.473035

[04:07:04 -739143.498938] Initial branch length optimization
[04:07:07 -571779.790079] Model parameter optimization (eps = 10.000000)
[04:07:34 -568411.820451] AUTODETECT spr round 1 (radius: 5)
[04:09:27 -375000.472781] AUTODETECT spr round 2 (radius: 10)
[04:11:27 -269999.819431] AUTODETECT spr round 3 (radius: 15)
[04:13:57 -219757.982501] AUTODETECT spr round 4 (radius: 20)
[04:16:31 -192633.926052] AUTODETECT spr round 5 (radius: 25)
[04:18:54 -186607.076182] SPR radius for FAST iterations: 25 (autodetect)
[04:18:54 -186607.076182] Model parameter optimization (eps = 3.000000)
[04:19:17 -186461.249903] FAST spr round 1 (radius: 25)
[04:21:30 -152470.315920] FAST spr round 2 (radius: 25)
[04:23:22 -149987.513451] FAST spr round 3 (radius: 25)
[04:25:01 -149874.628329] FAST spr round 4 (radius: 25)
[04:26:34 -149808.886727] FAST spr round 5 (radius: 25)
[04:28:09 -149793.798180] FAST spr round 6 (radius: 25)
[04:29:43 -149793.696128] FAST spr round 7 (radius: 25)
[04:31:17 -149793.695879] Model parameter optimization (eps = 1.000000)
[04:31:33 -149782.434952] SLOW spr round 1 (radius: 5)
[04:33:27 -149757.597633] SLOW spr round 2 (radius: 5)
[04:35:20 -149746.589770] SLOW spr round 3 (radius: 5)
[04:37:08 -149745.796327] SLOW spr round 4 (radius: 5)
[04:38:57 -149745.795329] SLOW spr round 5 (radius: 10)
[04:40:46 -149745.689706] SLOW spr round 6 (radius: 5)
[04:42:56 -149745.689218] SLOW spr round 7 (radius: 10)
[04:44:55 -149745.689200] SLOW spr round 8 (radius: 15)
[04:47:19 -149745.689190] SLOW spr round 9 (radius: 20)
[04:50:40 -149745.689186] SLOW spr round 10 (radius: 25)
[04:54:39 -149745.689183] Model parameter optimization (eps = 0.100000)

[04:54:46] ML tree search #6, logLikelihood: -149745.634164

[04:54:46 -746065.960473] Initial branch length optimization
[04:54:49 -581490.725818] Model parameter optimization (eps = 10.000000)
[04:55:17 -577945.484330] AUTODETECT spr round 1 (radius: 5)
[04:57:11 -382247.838993] AUTODETECT spr round 2 (radius: 10)
[04:59:16 -264544.173216] AUTODETECT spr round 3 (radius: 15)
[05:01:31 -218851.686928] AUTODETECT spr round 4 (radius: 20)
[05:03:59 -198291.657096] AUTODETECT spr round 5 (radius: 25)
[05:06:32 -185329.492464] SPR radius for FAST iterations: 25 (autodetect)
[05:06:32 -185329.492464] Model parameter optimization (eps = 3.000000)
[05:06:54 -185024.462336] FAST spr round 1 (radius: 25)
[05:09:16 -151872.229777] FAST spr round 2 (radius: 25)
[05:11:13 -149955.407261] FAST spr round 3 (radius: 25)
[05:12:57 -149842.756879] FAST spr round 4 (radius: 25)
[05:14:33 -149832.091418] FAST spr round 5 (radius: 25)
[05:16:04 -149829.568466] FAST spr round 6 (radius: 25)
[05:17:36 -149826.702859] FAST spr round 7 (radius: 25)
[05:19:05 -149826.702831] Model parameter optimization (eps = 1.000000)
[05:19:18 -149823.588251] SLOW spr round 1 (radius: 5)
[05:21:10 -149795.905896] SLOW spr round 2 (radius: 5)
[05:22:56 -149788.412018] SLOW spr round 3 (radius: 5)
[05:24:44 -149783.346468] SLOW spr round 4 (radius: 5)
[05:26:30 -149783.346309] SLOW spr round 5 (radius: 10)
[05:28:14 -149783.240645] SLOW spr round 6 (radius: 5)
[05:30:17 -149783.240584] SLOW spr round 7 (radius: 10)
[05:32:10 -149783.240583] SLOW spr round 8 (radius: 15)
[05:34:27 -149783.240583] SLOW spr round 9 (radius: 20)
[05:37:47 -149783.240583] SLOW spr round 10 (radius: 25)
[05:41:56 -149783.240582] Model parameter optimization (eps = 0.100000)

[05:42:03] ML tree search #7, logLikelihood: -149783.128467

[05:42:04 -743348.192262] Initial branch length optimization
[05:42:06 -574685.675684] Model parameter optimization (eps = 10.000000)
[05:42:35 -571279.985705] AUTODETECT spr round 1 (radius: 5)
[05:44:21 -375667.037725] AUTODETECT spr round 2 (radius: 10)
[05:46:14 -260716.279444] AUTODETECT spr round 3 (radius: 15)
[05:48:10 -212129.522921] AUTODETECT spr round 4 (radius: 20)
[05:50:28 -178958.033100] AUTODETECT spr round 5 (radius: 25)
[05:52:58 -175188.531040] SPR radius for FAST iterations: 25 (autodetect)
[05:52:58 -175188.531040] Model parameter optimization (eps = 3.000000)
[05:53:18 -174989.500889] FAST spr round 1 (radius: 25)
[05:55:19 -151005.672345] FAST spr round 2 (radius: 25)
[05:56:55 -149871.338214] FAST spr round 3 (radius: 25)
[05:58:25 -149819.686277] FAST spr round 4 (radius: 25)
[05:59:53 -149817.129742] FAST spr round 5 (radius: 25)
[06:01:17 -149816.652591] FAST spr round 6 (radius: 25)
[06:02:38 -149816.652313] Model parameter optimization (eps = 1.000000)
[06:02:56 -149814.208655] SLOW spr round 1 (radius: 5)
[06:04:40 -149765.610846] SLOW spr round 2 (radius: 5)
[06:06:23 -149756.800775] SLOW spr round 3 (radius: 5)
[06:08:02 -149756.160910] SLOW spr round 4 (radius: 5)
[06:09:39 -149756.159936] SLOW spr round 5 (radius: 10)
[06:11:18 -149756.159576] SLOW spr round 6 (radius: 15)
[06:13:41 -149756.159425] SLOW spr round 7 (radius: 20)
[06:16:58 -149756.159361] SLOW spr round 8 (radius: 25)
[06:20:55 -149756.159334] Model parameter optimization (eps = 0.100000)

[06:21:03] ML tree search #8, logLikelihood: -149756.001822

[06:21:03 -738716.461386] Initial branch length optimization
[06:21:05 -576940.866797] Model parameter optimization (eps = 10.000000)
[06:21:36 -573469.775613] AUTODETECT spr round 1 (radius: 5)
[06:23:21 -376137.372226] AUTODETECT spr round 2 (radius: 10)
[06:25:14 -268078.246504] AUTODETECT spr round 3 (radius: 15)
[06:27:17 -229445.074095] AUTODETECT spr round 4 (radius: 20)
[06:29:37 -204073.518996] AUTODETECT spr round 5 (radius: 25)
[06:31:54 -195890.646162] SPR radius for FAST iterations: 25 (autodetect)
[06:31:54 -195890.646162] Model parameter optimization (eps = 3.000000)
[06:32:12 -195670.546002] FAST spr round 1 (radius: 25)
[06:34:18 -162336.947469] FAST spr round 2 (radius: 25)
[06:36:04 -153020.117112] FAST spr round 3 (radius: 25)
[06:37:41 -150007.457276] FAST spr round 4 (radius: 25)
[06:39:11 -149856.213691] FAST spr round 5 (radius: 25)
[06:40:36 -149806.217054] FAST spr round 6 (radius: 25)
[06:41:58 -149801.712825] FAST spr round 7 (radius: 25)
[06:43:19 -149801.712771] Model parameter optimization (eps = 1.000000)
[06:43:31 -149798.849540] SLOW spr round 1 (radius: 5)
[06:45:16 -149760.640213] SLOW spr round 2 (radius: 5)
[06:46:56 -149759.791308] SLOW spr round 3 (radius: 5)
[06:48:33 -149759.791300] SLOW spr round 4 (radius: 10)
[06:50:11 -149759.685916] SLOW spr round 5 (radius: 5)
[06:52:09 -149759.685914] SLOW spr round 6 (radius: 10)
[06:53:57 -149759.685913] SLOW spr round 7 (radius: 15)
[06:56:10 -149759.685913] SLOW spr round 8 (radius: 20)
[06:59:33 -149759.685913] SLOW spr round 9 (radius: 25)
[07:03:40 -149759.685913] Model parameter optimization (eps = 0.100000)

[07:03:44] ML tree search #9, logLikelihood: -149759.668038

[07:03:44 -743931.676518] Initial branch length optimization
[07:03:46 -573255.710014] Model parameter optimization (eps = 10.000000)
[07:04:18 -569759.908658] AUTODETECT spr round 1 (radius: 5)
[07:06:01 -367786.914669] AUTODETECT spr round 2 (radius: 10)
[07:07:53 -264192.785161] AUTODETECT spr round 3 (radius: 15)
[07:09:59 -220616.774087] AUTODETECT spr round 4 (radius: 20)
[07:12:19 -188334.814368] AUTODETECT spr round 5 (radius: 25)
[07:14:54 -178185.374731] SPR radius for FAST iterations: 25 (autodetect)
[07:14:54 -178185.374731] Model parameter optimization (eps = 3.000000)
[07:15:12 -177970.285917] FAST spr round 1 (radius: 25)
[07:17:18 -150991.493200] FAST spr round 2 (radius: 25)
[07:19:00 -149966.805276] FAST spr round 3 (radius: 25)
[07:20:35 -149827.927525] FAST spr round 4 (radius: 25)
[07:22:04 -149804.314185] FAST spr round 5 (radius: 25)
[07:23:30 -149797.215092] FAST spr round 6 (radius: 25)
[07:24:53 -149792.957381] FAST spr round 7 (radius: 25)
[07:26:14 -149790.965013] FAST spr round 8 (radius: 25)
[07:27:34 -149790.964276] Model parameter optimization (eps = 1.000000)
[07:27:46 -149787.901556] SLOW spr round 1 (radius: 5)
[07:29:26 -149761.691258] SLOW spr round 2 (radius: 5)
[07:31:05 -149761.479004] SLOW spr round 3 (radius: 5)
[07:32:42 -149761.478883] SLOW spr round 4 (radius: 10)
[07:34:20 -149760.769220] SLOW spr round 5 (radius: 5)
[07:36:18 -149760.769186] SLOW spr round 6 (radius: 10)
[07:38:05 -149760.769185] SLOW spr round 7 (radius: 15)
[07:40:16 -149760.769185] SLOW spr round 8 (radius: 20)
[07:43:25 -149760.769184] SLOW spr round 9 (radius: 25)
[07:47:08 -149760.769184] Model parameter optimization (eps = 0.100000)

[07:47:12] ML tree search #10, logLikelihood: -149760.697192

[07:47:12 -745477.533419] Initial branch length optimization
[07:47:15 -581945.432273] Model parameter optimization (eps = 10.000000)
[07:47:40 -578376.616318] AUTODETECT spr round 1 (radius: 5)
[07:49:22 -373807.180043] AUTODETECT spr round 2 (radius: 10)
[07:51:12 -266822.317864] AUTODETECT spr round 3 (radius: 15)
[07:53:20 -226218.784534] AUTODETECT spr round 4 (radius: 20)
[07:55:29 -186989.227515] AUTODETECT spr round 5 (radius: 25)
[07:57:57 -177714.238811] SPR radius for FAST iterations: 25 (autodetect)
[07:57:57 -177714.238811] Model parameter optimization (eps = 3.000000)
[07:58:22 -177549.760007] FAST spr round 1 (radius: 25)
[08:00:26 -150782.201931] FAST spr round 2 (radius: 25)
[08:02:00 -149957.013098] FAST spr round 3 (radius: 25)
[08:03:31 -149868.493603] FAST spr round 4 (radius: 25)
[08:04:58 -149818.253587] FAST spr round 5 (radius: 25)
[08:06:21 -149813.744733] FAST spr round 6 (radius: 25)
[08:07:42 -149813.744435] Model parameter optimization (eps = 1.000000)
[08:07:58 -149808.137982] SLOW spr round 1 (radius: 5)
[08:09:41 -149754.798782] SLOW spr round 2 (radius: 5)
[08:11:22 -149747.145410] SLOW spr round 3 (radius: 5)
[08:12:59 -149747.145208] SLOW spr round 4 (radius: 10)
[08:14:37 -149747.145098] SLOW spr round 5 (radius: 15)
[08:17:03 -149745.508839] SLOW spr round 6 (radius: 5)
[08:19:04 -149745.508781] SLOW spr round 7 (radius: 10)
[08:20:55 -149745.508780] SLOW spr round 8 (radius: 15)
[08:23:10 -149745.508779] SLOW spr round 9 (radius: 20)
[08:26:35 -149745.508779] SLOW spr round 10 (radius: 25)
[08:30:38 -149745.508779] Model parameter optimization (eps = 0.100000)

[08:30:49] ML tree search #11, logLikelihood: -149744.953575

[08:30:49 -751312.265406] Initial branch length optimization
[08:30:52 -583633.595314] Model parameter optimization (eps = 10.000000)
[08:31:21 -580004.720044] AUTODETECT spr round 1 (radius: 5)
[08:33:04 -374082.304743] AUTODETECT spr round 2 (radius: 10)
[08:34:55 -276562.293247] AUTODETECT spr round 3 (radius: 15)
[08:37:09 -223426.430603] AUTODETECT spr round 4 (radius: 20)
[08:39:23 -198474.108710] AUTODETECT spr round 5 (radius: 25)
[08:41:51 -182105.773965] SPR radius for FAST iterations: 25 (autodetect)
[08:41:51 -182105.773965] Model parameter optimization (eps = 3.000000)
[08:42:12 -181902.106704] FAST spr round 1 (radius: 25)
[08:44:14 -151460.888690] FAST spr round 2 (radius: 25)
[08:45:57 -149917.798897] FAST spr round 3 (radius: 25)
[08:47:31 -149831.531515] FAST spr round 4 (radius: 25)
[08:48:58 -149793.860212] FAST spr round 5 (radius: 25)
[08:50:22 -149784.946181] FAST spr round 6 (radius: 25)
[08:51:44 -149774.611300] FAST spr round 7 (radius: 25)
[08:53:06 -149769.037760] FAST spr round 8 (radius: 25)
[08:54:26 -149769.037682] Model parameter optimization (eps = 1.000000)
[08:54:38 -149764.231996] SLOW spr round 1 (radius: 5)
[08:56:18 -149735.711496] SLOW spr round 2 (radius: 5)
[08:57:58 -149734.764313] SLOW spr round 3 (radius: 5)
[08:59:37 -149734.759842] SLOW spr round 4 (radius: 10)
[09:01:17 -149731.830478] SLOW spr round 5 (radius: 5)
[09:03:17 -149731.561110] SLOW spr round 6 (radius: 5)
[09:05:05 -149731.560863] SLOW spr round 7 (radius: 10)
[09:06:46 -149731.560648] SLOW spr round 8 (radius: 15)
[09:09:02 -149731.560618] SLOW spr round 9 (radius: 20)
[09:12:14 -149731.560606] SLOW spr round 10 (radius: 25)
[09:16:11 -149731.560600] Model parameter optimization (eps = 0.100000)

[09:16:16] ML tree search #12, logLikelihood: -149731.535104

[09:16:16 -742832.213849] Initial branch length optimization
[09:16:18 -577227.587389] Model parameter optimization (eps = 10.000000)
[09:16:45 -573772.863300] AUTODETECT spr round 1 (radius: 5)
[09:18:28 -368261.972472] AUTODETECT spr round 2 (radius: 10)
[09:20:19 -261363.484301] AUTODETECT spr round 3 (radius: 15)
[09:22:20 -213469.956802] AUTODETECT spr round 4 (radius: 20)
[09:24:29 -196526.238325] AUTODETECT spr round 5 (radius: 25)
[09:27:01 -177803.738079] SPR radius for FAST iterations: 25 (autodetect)
[09:27:01 -177803.738079] Model parameter optimization (eps = 3.000000)
[09:27:22 -177565.435840] FAST spr round 1 (radius: 25)
[09:29:30 -151028.473244] FAST spr round 2 (radius: 25)
[09:31:14 -149857.923870] FAST spr round 3 (radius: 25)
[09:32:47 -149797.530669] FAST spr round 4 (radius: 25)
[09:34:14 -149794.672224] FAST spr round 5 (radius: 25)
[09:35:37 -149794.671764] Model parameter optimization (eps = 1.000000)
[09:35:51 -149787.407664] SLOW spr round 1 (radius: 5)
[09:37:34 -149749.767552] SLOW spr round 2 (radius: 5)
[09:39:15 -149744.806141] SLOW spr round 3 (radius: 5)
[09:40:52 -149744.806022] SLOW spr round 4 (radius: 10)
[09:42:30 -149743.986093] SLOW spr round 5 (radius: 5)
[09:44:29 -149741.749771] SLOW spr round 6 (radius: 5)
[09:46:15 -149741.749740] SLOW spr round 7 (radius: 10)
[09:47:56 -149741.749739] SLOW spr round 8 (radius: 15)
[09:50:14 -149741.749738] SLOW spr round 9 (radius: 20)
[09:53:33 -149741.749736] SLOW spr round 10 (radius: 25)
[09:57:37 -149741.749735] Model parameter optimization (eps = 0.100000)

[09:57:44] ML tree search #13, logLikelihood: -149741.559122

[09:57:44 -739604.115133] Initial branch length optimization
[09:57:47 -575877.069837] Model parameter optimization (eps = 10.000000)
[09:58:10 -572442.049500] AUTODETECT spr round 1 (radius: 5)
[09:59:54 -375070.931326] AUTODETECT spr round 2 (radius: 10)
[10:01:45 -272147.597956] AUTODETECT spr round 3 (radius: 15)
[10:03:51 -223148.007602] AUTODETECT spr round 4 (radius: 20)
[10:05:57 -194407.663671] AUTODETECT spr round 5 (radius: 25)
[10:08:19 -182186.589596] SPR radius for FAST iterations: 25 (autodetect)
[10:08:19 -182186.589596] Model parameter optimization (eps = 3.000000)
[10:08:45 -181858.459975] FAST spr round 1 (radius: 25)
[10:10:50 -152752.850364] FAST spr round 2 (radius: 25)
[10:12:36 -149946.549274] FAST spr round 3 (radius: 25)
[10:14:13 -149803.413410] FAST spr round 4 (radius: 25)
[10:15:40 -149788.574852] FAST spr round 5 (radius: 25)
[10:17:04 -149786.585027] FAST spr round 6 (radius: 25)
[10:18:26 -149786.584681] Model parameter optimization (eps = 1.000000)
[10:18:42 -149778.892176] SLOW spr round 1 (radius: 5)
[10:20:25 -149760.941239] SLOW spr round 2 (radius: 5)
[10:22:03 -149760.939428] SLOW spr round 3 (radius: 10)
[10:23:42 -149758.330658] SLOW spr round 4 (radius: 5)
[10:25:40 -149758.173689] SLOW spr round 5 (radius: 5)
[10:27:26 -149758.173684] SLOW spr round 6 (radius: 10)
[10:29:07 -149758.173684] SLOW spr round 7 (radius: 15)
[10:31:22 -149758.068970] SLOW spr round 8 (radius: 5)
[10:33:23 -149758.068970] SLOW spr round 9 (radius: 10)
[10:35:14 -149758.068970] SLOW spr round 10 (radius: 15)
[10:37:25 -149758.068969] SLOW spr round 11 (radius: 20)
[10:40:39 -149756.480310] SLOW spr round 12 (radius: 5)
[10:42:42 -149756.480255] SLOW spr round 13 (radius: 10)
[10:44:35 -149756.480255] SLOW spr round 14 (radius: 15)
[10:46:45 -149756.480255] SLOW spr round 15 (radius: 20)
[10:49:59 -149756.480254] SLOW spr round 16 (radius: 25)
[10:53:57 -149756.480254] Model parameter optimization (eps = 0.100000)

[10:54:04] ML tree search #14, logLikelihood: -149756.246415

[10:54:04 -743556.589357] Initial branch length optimization
[10:54:07 -579770.710290] Model parameter optimization (eps = 10.000000)
[10:54:32 -576166.281615] AUTODETECT spr round 1 (radius: 5)
[10:56:16 -366852.138441] AUTODETECT spr round 2 (radius: 10)
[10:58:07 -260789.458511] AUTODETECT spr round 3 (radius: 15)
[11:00:14 -191955.392472] AUTODETECT spr round 4 (radius: 20)
[11:02:44 -174723.269991] AUTODETECT spr round 5 (radius: 25)
[11:05:28 -174272.475897] SPR radius for FAST iterations: 25 (autodetect)
[11:05:28 -174272.475897] Model parameter optimization (eps = 3.000000)
[11:05:44 -174047.226003] FAST spr round 1 (radius: 25)
[11:07:42 -151720.220900] FAST spr round 2 (radius: 25)
[11:09:22 -149873.950958] FAST spr round 3 (radius: 25)
[11:10:51 -149790.742426] FAST spr round 4 (radius: 25)
[11:12:16 -149784.934652] FAST spr round 5 (radius: 25)
[11:13:39 -149783.570484] FAST spr round 6 (radius: 25)
[11:14:59 -149783.569864] Model parameter optimization (eps = 1.000000)
[11:15:13 -149778.378178] SLOW spr round 1 (radius: 5)
[11:16:56 -149750.230208] SLOW spr round 2 (radius: 5)
[11:18:35 -149746.395485] SLOW spr round 3 (radius: 5)
[11:20:12 -149746.394051] SLOW spr round 4 (radius: 10)
[11:21:50 -149746.393174] SLOW spr round 5 (radius: 15)
[11:24:11 -149746.286852] SLOW spr round 6 (radius: 5)
[11:26:12 -149746.286350] SLOW spr round 7 (radius: 10)
[11:28:04 -149746.285908] SLOW spr round 8 (radius: 15)
[11:30:15 -149746.285495] SLOW spr round 9 (radius: 20)
[11:33:32 -149746.285095] SLOW spr round 10 (radius: 25)
[11:37:27 -149746.284702] Model parameter optimization (eps = 0.100000)

[11:37:34] ML tree search #15, logLikelihood: -149746.238182

[11:37:34 -738687.736952] Initial branch length optimization
[11:37:37 -576275.352035] Model parameter optimization (eps = 10.000000)
[11:37:59 -572730.141484] AUTODETECT spr round 1 (radius: 5)
[11:39:43 -370807.750461] AUTODETECT spr round 2 (radius: 10)
[11:41:33 -270321.472746] AUTODETECT spr round 3 (radius: 15)
[11:43:43 -225439.640285] AUTODETECT spr round 4 (radius: 20)
[11:45:51 -199929.862718] AUTODETECT spr round 5 (radius: 25)
[11:48:19 -187314.622410] SPR radius for FAST iterations: 25 (autodetect)
[11:48:19 -187314.622410] Model parameter optimization (eps = 3.000000)
[11:48:38 -187042.753626] FAST spr round 1 (radius: 25)
[11:50:42 -152333.985490] FAST spr round 2 (radius: 25)
[11:52:24 -150110.196126] FAST spr round 3 (radius: 25)
[11:53:57 -149915.421936] FAST spr round 4 (radius: 25)
[11:55:26 -149822.873616] FAST spr round 5 (radius: 25)
[11:56:51 -149800.658511] FAST spr round 6 (radius: 25)
[11:58:12 -149800.656340] Model parameter optimization (eps = 1.000000)
[11:58:24 -149797.298378] SLOW spr round 1 (radius: 5)
[12:00:04 -149778.455524] SLOW spr round 2 (radius: 5)
[12:01:44 -149778.403936] SLOW spr round 3 (radius: 10)
[12:03:23 -149778.402733] SLOW spr round 4 (radius: 15)
[12:05:46 -149777.785748] SLOW spr round 5 (radius: 5)
[12:07:50 -149777.785546] SLOW spr round 6 (radius: 10)
[12:09:41 -149777.785500] SLOW spr round 7 (radius: 15)
[12:11:55 -149777.785500] SLOW spr round 8 (radius: 20)
[12:15:17 -149777.785500] SLOW spr round 9 (radius: 25)
[12:19:23 -149777.785500] Model parameter optimization (eps = 0.100000)

[12:19:28] ML tree search #16, logLikelihood: -149777.748064

[12:19:28 -742428.091616] Initial branch length optimization
[12:19:30 -574690.884658] Model parameter optimization (eps = 10.000000)
[12:20:10 -571257.849991] AUTODETECT spr round 1 (radius: 5)
[12:21:54 -373883.874505] AUTODETECT spr round 2 (radius: 10)
[12:23:45 -270042.846169] AUTODETECT spr round 3 (radius: 15)
[12:25:57 -226143.471383] AUTODETECT spr round 4 (radius: 20)
[12:28:03 -194927.071440] AUTODETECT spr round 5 (radius: 25)
[12:30:35 -185323.614818] SPR radius for FAST iterations: 25 (autodetect)
[12:30:35 -185323.614818] Model parameter optimization (eps = 3.000000)
[12:30:50 -185132.068516] FAST spr round 1 (radius: 25)
[12:32:52 -151029.439216] FAST spr round 2 (radius: 25)
[12:34:28 -149956.897958] FAST spr round 3 (radius: 25)
[12:35:58 -149821.466306] FAST spr round 4 (radius: 25)
[12:37:26 -149804.149013] FAST spr round 5 (radius: 25)
[12:38:48 -149804.147244] Model parameter optimization (eps = 1.000000)
[12:38:59 -149799.663646] SLOW spr round 1 (radius: 5)
[12:40:42 -149746.313386] SLOW spr round 2 (radius: 5)
[12:42:21 -149746.312558] SLOW spr round 3 (radius: 10)
[12:44:00 -149746.206775] SLOW spr round 4 (radius: 5)
[12:45:57 -149746.206745] SLOW spr round 5 (radius: 10)
[12:47:44 -149746.206728] SLOW spr round 6 (radius: 15)
[12:49:56 -149746.206719] SLOW spr round 7 (radius: 20)
[12:53:11 -149746.206713] SLOW spr round 8 (radius: 25)
[12:57:05 -149746.206710] Model parameter optimization (eps = 0.100000)

[12:57:09] ML tree search #17, logLikelihood: -149746.170525

[12:57:09 -742913.505570] Initial branch length optimization
[12:57:12 -576472.712346] Model parameter optimization (eps = 10.000000)
[12:57:36 -573044.292654] AUTODETECT spr round 1 (radius: 5)
[12:59:19 -374216.301613] AUTODETECT spr round 2 (radius: 10)
[13:01:11 -275182.726298] AUTODETECT spr round 3 (radius: 15)
[13:03:16 -225548.102852] AUTODETECT spr round 4 (radius: 20)
[13:05:26 -188996.086442] AUTODETECT spr round 5 (radius: 25)
[13:08:13 -177389.039412] SPR radius for FAST iterations: 25 (autodetect)
[13:08:13 -177389.039412] Model parameter optimization (eps = 3.000000)
[13:08:31 -177129.563094] FAST spr round 1 (radius: 25)
[13:10:37 -151151.739628] FAST spr round 2 (radius: 25)
[13:12:16 -149966.698130] FAST spr round 3 (radius: 25)
[13:13:47 -149857.680447] FAST spr round 4 (radius: 25)
[13:15:15 -149834.423626] FAST spr round 5 (radius: 25)
[13:16:36 -149834.066106] FAST spr round 6 (radius: 25)
[13:17:57 -149834.064441] Model parameter optimization (eps = 1.000000)
[13:18:13 -149825.148153] SLOW spr round 1 (radius: 5)
[13:19:55 -149778.608754] SLOW spr round 2 (radius: 5)
[13:21:36 -149772.487882] SLOW spr round 3 (radius: 5)
[13:23:16 -149765.711979] SLOW spr round 4 (radius: 5)
[13:24:54 -149765.711947] SLOW spr round 5 (radius: 10)
[13:26:33 -149763.805282] SLOW spr round 6 (radius: 5)
[13:28:31 -149763.805256] SLOW spr round 7 (radius: 10)
[13:30:20 -149763.805253] SLOW spr round 8 (radius: 15)
[13:32:35 -149763.805253] SLOW spr round 9 (radius: 20)
[13:35:53 -149763.805253] SLOW spr round 10 (radius: 25)
[13:39:50 -149763.805252] Model parameter optimization (eps = 0.100000)

[13:39:58] ML tree search #18, logLikelihood: -149763.709624

[13:39:58 -738056.501553] Initial branch length optimization
[13:40:00 -575301.311501] Model parameter optimization (eps = 10.000000)
[13:40:28 -571838.394351] AUTODETECT spr round 1 (radius: 5)
[13:42:11 -373102.500365] AUTODETECT spr round 2 (radius: 10)
[13:44:02 -264284.356241] AUTODETECT spr round 3 (radius: 15)
[13:46:09 -217894.084411] AUTODETECT spr round 4 (radius: 20)
[13:48:23 -193550.263418] AUTODETECT spr round 5 (radius: 25)
[13:51:11 -177805.604563] SPR radius for FAST iterations: 25 (autodetect)
[13:51:11 -177805.604563] Model parameter optimization (eps = 3.000000)
[13:51:33 -177570.280066] FAST spr round 1 (radius: 25)
[13:53:37 -150722.866708] FAST spr round 2 (radius: 25)
[13:55:13 -149905.368882] FAST spr round 3 (radius: 25)
[13:56:44 -149868.098705] FAST spr round 4 (radius: 25)
[13:58:10 -149865.217352] FAST spr round 5 (radius: 25)
[13:59:33 -149865.215730] Model parameter optimization (eps = 1.000000)
[13:59:47 -149857.204461] SLOW spr round 1 (radius: 5)
[14:01:32 -149815.526910] SLOW spr round 2 (radius: 5)
[14:03:13 -149803.038671] SLOW spr round 3 (radius: 5)
[14:04:52 -149783.413289] SLOW spr round 4 (radius: 5)
[14:06:31 -149775.121879] SLOW spr round 5 (radius: 5)
[14:08:08 -149773.673311] SLOW spr round 6 (radius: 5)
[14:09:44 -149773.673049] SLOW spr round 7 (radius: 10)
[14:11:21 -149773.568306] SLOW spr round 8 (radius: 5)
[14:13:18 -149773.568306] SLOW spr round 9 (radius: 10)
[14:15:05 -149773.568306] SLOW spr round 10 (radius: 15)
[14:17:18 -149772.105363] SLOW spr round 11 (radius: 5)
[14:19:20 -149772.105313] SLOW spr round 12 (radius: 10)
[14:21:10 -149772.105313] SLOW spr round 13 (radius: 15)
[14:23:21 -149772.105313] SLOW spr round 14 (radius: 20)
[14:26:39 -149772.105313] SLOW spr round 15 (radius: 25)
[14:30:38 -149772.105313] Model parameter optimization (eps = 0.100000)

[14:30:47] ML tree search #19, logLikelihood: -149771.760555

[14:30:47 -744900.151986] Initial branch length optimization
[14:30:49 -580036.595319] Model parameter optimization (eps = 10.000000)
[14:31:18 -576453.475753] AUTODETECT spr round 1 (radius: 5)
[14:32:59 -384709.497699] AUTODETECT spr round 2 (radius: 10)
[14:34:54 -264341.799081] AUTODETECT spr round 3 (radius: 15)
[14:36:52 -206714.088493] AUTODETECT spr round 4 (radius: 20)
[14:39:14 -178643.853456] AUTODETECT spr round 5 (radius: 25)
[14:42:16 -174554.983249] SPR radius for FAST iterations: 25 (autodetect)
[14:42:16 -174554.983249] Model parameter optimization (eps = 3.000000)
[14:42:36 -174346.599986] FAST spr round 1 (radius: 25)
[14:44:36 -151370.274908] FAST spr round 2 (radius: 25)
[14:46:15 -149889.328379] FAST spr round 3 (radius: 25)
[14:47:46 -149788.031365] FAST spr round 4 (radius: 25)
[14:49:13 -149778.590562] FAST spr round 5 (radius: 25)
[14:50:37 -149777.505969] FAST spr round 6 (radius: 25)
[14:51:58 -149777.310797] FAST spr round 7 (radius: 25)
[14:53:20 -149777.306998] Model parameter optimization (eps = 1.000000)
[14:53:35 -149776.170671] SLOW spr round 1 (radius: 5)
[14:55:17 -149751.942596] SLOW spr round 2 (radius: 5)
[14:56:56 -149751.892861] SLOW spr round 3 (radius: 10)
[14:58:35 -149749.317269] SLOW spr round 4 (radius: 5)
[15:00:34 -149749.317256] SLOW spr round 5 (radius: 10)
[15:02:22 -149749.317255] SLOW spr round 6 (radius: 15)
[15:04:34 -149749.211642] SLOW spr round 7 (radius: 5)
[15:06:37 -149749.211642] SLOW spr round 8 (radius: 10)
[15:08:29 -149749.211642] SLOW spr round 9 (radius: 15)
[15:10:40 -149749.211642] SLOW spr round 10 (radius: 20)
[15:13:54 -149749.211642] SLOW spr round 11 (radius: 25)
[15:17:52 -149749.211642] Model parameter optimization (eps = 0.100000)

[15:17:58] ML tree search #20, logLikelihood: -149749.182218


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.158260,0.382637) (0.210969,0.438015) (0.416196,1.022823) (0.214574,1.963614) 
   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: -149731.535104

AIC score: 303473.070207 / AICc score: 8347533.070207 / BIC score: 311891.020034
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=492).
         This might lead to overfitting and compromise tree inference results!


Best ML tree saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/O60658/3_mltree/O60658.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/O60658/3_mltree/O60658.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/O60658/3_mltree/O60658.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/O60658/3_mltree/O60658.raxml.log

Analysis started: 25-Jul-2021 06:36:09 / finished: 25-Jul-2021 21:54:07

Elapsed time: 55078.304 seconds