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 04-Jul-2021 18:14:48 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O14936/2_msa/O14936_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O14936/3_mltree/O14936 --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/O14936/2_msa/O14936_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 548 sites

WARNING: Sequences tr_E1BS31_E1BS31_CHICK_9031 and tr_U3J4M7_U3J4M7_ANAPL_8839 are exactly identical!
WARNING: Sequences sp_P11798_KCC2A_MOUSE_10090 and tr_F1PB67_F1PB67_CANLF_9615 are exactly identical!
WARNING: Sequences sp_P11798_KCC2A_MOUSE_10090 and tr_W5PAI9_W5PAI9_SHEEP_9940 are exactly identical!
WARNING: Sequences sp_P11798_KCC2A_MOUSE_10090 and sp_P11275_KCC2A_RAT_10116 are exactly identical!
WARNING: Sequences sp_P11798_KCC2A_MOUSE_10090 and tr_Q08E45_Q08E45_BOVIN_9913 are exactly identical!
WARNING: Sequences sp_Q6PHZ2_KCC2D_MOUSE_10090 and sp_Q13557_KCC2D_HUMAN_9606 are exactly identical!
WARNING: Sequences sp_Q6PHZ2_KCC2D_MOUSE_10090 and tr_G7P650_G7P650_MACFA_9541 are exactly identical!
WARNING: Sequences tr_M3YMI8_M3YMI8_MUSPF_9669 and tr_G1SMP3_G1SMP3_RABIT_9986 are exactly identical!
WARNING: Sequences tr_M3YMI8_M3YMI8_MUSPF_9669 and tr_G1LJM6_G1LJM6_AILME_9646 are exactly identical!
WARNING: Sequences tr_M3YMI8_M3YMI8_MUSPF_9669 and tr_A0A1S3GBV8_A0A1S3GBV8_DIPOR_10020 are exactly identical!
WARNING: Sequences sp_Q00168_KCC2A_DROME_7227 and tr_B4IKQ9_B4IKQ9_DROSE_7238 are exactly identical!
WARNING: Sequences tr_A0A2I3H8G5_A0A2I3H8G5_NOMLE_61853 and tr_G3S8D3_G3S8D3_GORGO_9595 are exactly identical!
WARNING: Sequences tr_A0A2I3H8G5_A0A2I3H8G5_NOMLE_61853 and tr_F7H6F9_F7H6F9_CALJA_9483 are exactly identical!
WARNING: Sequences tr_A0A2I3H8G5_A0A2I3H8G5_NOMLE_61853 and tr_A0A2K5MKI0_A0A2K5MKI0_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A2I3H8G5_A0A2I3H8G5_NOMLE_61853 and tr_A0A2K6ED16_A0A2K6ED16_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G1RXR4_G1RXR4_NOMLE_61853 and tr_A0A2I2YQS5_A0A2I2YQS5_GORGO_9595 are exactly identical!
WARNING: Sequences tr_G1RXR4_G1RXR4_NOMLE_61853 and tr_A0A2I3SMG7_A0A2I3SMG7_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G1RXR4_G1RXR4_NOMLE_61853 and sp_Q9NZW5_MPP6_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G1RXR4_G1RXR4_NOMLE_61853 and tr_G5BCX9_G5BCX9_HETGA_10181 are exactly identical!
WARNING: Sequences tr_G1RXR4_G1RXR4_NOMLE_61853 and tr_A0A2I3LY71_A0A2I3LY71_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_G1RXR4_G1RXR4_NOMLE_61853 and tr_A0A2K5MMM4_A0A2K5MMM4_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G1RXR4_G1RXR4_NOMLE_61853 and tr_A0A2K5Y9G3_A0A2K5Y9G3_MANLE_9568 are exactly identical!
WARNING: Sequences tr_G1RXR4_G1RXR4_NOMLE_61853 and tr_A0A2R9BIJ8_A0A2R9BIJ8_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I2Y6I6_A0A2I2Y6I6_GORGO_9595 and tr_A0A2I3STB7_A0A2I3STB7_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A2I2Y6I6_A0A2I2Y6I6_GORGO_9595 and tr_U3E1F8_U3E1F8_CALJA_9483 are exactly identical!
WARNING: Sequences tr_A0A2I2Y6I6_A0A2I2Y6I6_GORGO_9595 and tr_A0A096N2J8_A0A096N2J8_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A2I2Y6I6_A0A2I2Y6I6_GORGO_9595 and tr_A0A2K5MDN6_A0A2K5MDN6_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A2I2Y6I6_A0A2I2Y6I6_GORGO_9595 and tr_A0A2K6E5G5_A0A2K6E5G5_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A2I2Y6I6_A0A2I2Y6I6_GORGO_9595 and tr_A0A2K5ZWB6_A0A2K5ZWB6_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2I2Y6I6_A0A2I2Y6I6_GORGO_9595 and tr_A0A2R9CAT1_A0A2R9CAT1_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I2Z2Z7_A0A2I2Z2Z7_GORGO_9595 and tr_K7CVG7_K7CVG7_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A2I2Z2Z7_A0A2I2Z2Z7_GORGO_9595 and sp_Q00013_EM55_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2I2Z2Z7_A0A2I2Z2Z7_GORGO_9595 and tr_A0A2R9C400_A0A2R9C400_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I2ZHQ2_A0A2I2ZHQ2_GORGO_9595 and sp_O14936_CSKP_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2I2ZHQ2_A0A2I2ZHQ2_GORGO_9595 and tr_A0A1D5QVF6_A0A1D5QVF6_MACMU_9544 are exactly identical!
WARNING: Sequences tr_A0A2I2ZHQ2_A0A2I2ZHQ2_GORGO_9595 and tr_U3CM89_U3CM89_CALJA_9483 are exactly identical!
WARNING: Sequences tr_A0A2I2ZHQ2_A0A2I2ZHQ2_GORGO_9595 and tr_A0A2I2UBK1_A0A2I2UBK1_FELCA_9685 are exactly identical!
WARNING: Sequences tr_A0A2I2ZHQ2_A0A2I2ZHQ2_GORGO_9595 and tr_A0A2I3LXC9_A0A2I3LXC9_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A2I2ZHQ2_A0A2I2ZHQ2_GORGO_9595 and tr_A0A1S2ZLD9_A0A1S2ZLD9_ERIEU_9365 are exactly identical!
WARNING: Sequences tr_A0A2I2ZHQ2_A0A2I2ZHQ2_GORGO_9595 and tr_A0A2K5P101_A0A2K5P101_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A2I2ZHQ2_A0A2I2ZHQ2_GORGO_9595 and tr_A0A2K6D560_A0A2K6D560_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A2I2ZHQ2_A0A2I2ZHQ2_GORGO_9595 and tr_A0A2K5YGA4_A0A2K5YGA4_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2I2ZHQ2_A0A2I2ZHQ2_GORGO_9595 and tr_A0A2R9C8L1_A0A2R9C8L1_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I2ZHQ2_A0A2I2ZHQ2_GORGO_9595 and tr_A0A2U3ZF03_A0A2U3ZF03_ODORO_9708 are exactly identical!
WARNING: Sequences sp_Q5RCC4_KCC2A_PONAB_9601 and sp_Q9UQM7_KCC2A_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_E2RR74_E2RR74_CANLF_9615 and tr_A0A337S4F5_A0A337S4F5_FELCA_9685 are exactly identical!
WARNING: Sequences tr_A0A2I3TJX3_A0A2I3TJX3_PANTR_9598 and tr_A0A2R9AY36_A0A2R9AY36_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2J8MNA2_A0A2J8MNA2_PANTR_9598 and tr_A0A2R9AP32_A0A2R9AP32_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2R4R8_H2R4R8_PANTR_9598 and tr_I3M703_I3M703_ICTTR_43179 are exactly identical!
WARNING: Sequences tr_F7CJA9_F7CJA9_HORSE_9796 and tr_H0WQA2_H0WQA2_OTOGA_30611 are exactly identical!
WARNING: Sequences tr_F7CJA9_F7CJA9_HORSE_9796 and tr_L5L0V1_L5L0V1_PTEAL_9402 are exactly identical!
WARNING: Sequences tr_F7CJA9_F7CJA9_HORSE_9796 and tr_A0A1S3FWM4_A0A1S3FWM4_DIPOR_10020 are exactly identical!
WARNING: Sequences tr_F7CJA9_F7CJA9_HORSE_9796 and tr_A0A2U3W4A5_A0A2U3W4A5_ODORO_9708 are exactly identical!
WARNING: Sequences tr_I3MCL2_I3MCL2_ICTTR_43179 and tr_H0V888_H0V888_CAVPO_10141 are exactly identical!
WARNING: Sequences tr_I3MCL2_I3MCL2_ICTTR_43179 and tr_F1RL74_F1RL74_PIG_9823 are exactly identical!
WARNING: Sequences tr_I3MCL2_I3MCL2_ICTTR_43179 and tr_M3W0P7_M3W0P7_FELCA_9685 are exactly identical!
WARNING: Sequences tr_I3MCL2_I3MCL2_ICTTR_43179 and tr_A0A1S2ZAN5_A0A1S2ZAN5_ERIEU_9365 are exactly identical!
WARNING: Sequences tr_I3MCL2_I3MCL2_ICTTR_43179 and tr_A0A3Q0E287_A0A3Q0E287_TARSY_1868482 are exactly identical!
WARNING: Sequences tr_I3MCL2_I3MCL2_ICTTR_43179 and tr_A0A2Y9IKI9_A0A2Y9IKI9_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_A0A1D5QCZ3_A0A1D5QCZ3_MACMU_9544 and tr_A0A2K5N8T4_A0A2K5N8T4_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A1D5QCZ3_A0A1D5QCZ3_MACMU_9544 and tr_A0A2K6CIE2_A0A2K6CIE2_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A1D5QCZ3_A0A1D5QCZ3_MACMU_9544 and tr_A0A2K5ZL15_A0A2K5ZL15_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F6W130_F6W130_MACMU_9544 and tr_G7Q231_G7Q231_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F6W130_F6W130_MACMU_9544 and sp_A9CB74_EM55_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F6W130_F6W130_MACMU_9544 and tr_A0A2K5N407_A0A2K5N407_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F6W130_F6W130_MACMU_9544 and tr_A0A2K6DEM8_A0A2K6DEM8_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F6W130_F6W130_MACMU_9544 and tr_A0A2K5ZAE7_A0A2K5ZAE7_MANLE_9568 are exactly identical!
WARNING: Sequences tr_K7G522_K7G522_PELSI_13735 and tr_A0A151PEV2_A0A151PEV2_ALLMI_8496 are exactly identical!
WARNING: Sequences tr_K7GD09_K7GD09_PELSI_13735 and tr_U3J2V9_U3J2V9_ANAPL_8839 are exactly identical!
WARNING: Sequences tr_K7GD09_K7GD09_PELSI_13735 and tr_A0A2I0M5M4_A0A2I0M5M4_COLLI_8932 are exactly identical!
WARNING: Sequences sp_Q95266_KCC2D_PIG_9823 and tr_G1LRM2_G1LRM2_AILME_9646 are exactly identical!
WARNING: Sequences sp_Q95266_KCC2D_PIG_9823 and tr_A0A2Y9E2S8_A0A2Y9E2S8_TRIMA_127582 are exactly identical!
WARNING: Sequences tr_D0Z795_D0Z795_DROVI_7244 and tr_A0A0Q9XG85_A0A0Q9XG85_DROMO_7230 are exactly identical!
WARNING: Sequences tr_G7PEN8_G7PEN8_MACFA_9541 and tr_A0A0D9RH38_A0A0D9RH38_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_G7PEN8_G7PEN8_MACFA_9541 and tr_A0A2K6DSZ8_A0A2K6DSZ8_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G8F325_G8F325_MACFA_9541 and tr_A0A2K6AXD8_A0A2K6AXD8_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A0Q3QYY1_A0A0Q3QYY1_AMAAE_12930 and tr_A0A093PNN4_A0A093PNN4_9PASS_328815 are exactly identical!
WARNING: Sequences tr_A0A0Q3QYY1_A0A0Q3QYY1_AMAAE_12930 and tr_A0A091G8H7_A0A091G8H7_9AVES_55661 are exactly identical!
WARNING: Sequences tr_A0A091VD08_A0A091VD08_NIPNI_128390 and tr_A0A087R9B8_A0A087R9B8_APTFO_9233 are exactly identical!
WARNING: Sequences tr_A0A091VD08_A0A091VD08_NIPNI_128390 and tr_A0A091X4P4_A0A091X4P4_OPIHO_30419 are exactly identical!
WARNING: Sequences tr_A0A091VD08_A0A091VD08_NIPNI_128390 and tr_A0A099Z1U9_A0A099Z1U9_TINGU_94827 are exactly identical!
WARNING: Sequences tr_A0A091VD08_A0A091VD08_NIPNI_128390 and tr_A0A091FKW4_A0A091FKW4_9AVES_55661 are exactly identical!
WARNING: Sequences tr_A0A091VD08_A0A091VD08_NIPNI_128390 and tr_A0A0A0B127_A0A0A0B127_CHAVO_50402 are exactly identical!
WARNING: Sequences tr_A0A091VD08_A0A091VD08_NIPNI_128390 and tr_A0A093G558_A0A093G558_DRYPU_118200 are exactly identical!
WARNING: Sequences tr_A0A091VD08_A0A091VD08_NIPNI_128390 and tr_A0A091ICG7_A0A091ICG7_CALAN_9244 are exactly identical!
WARNING: Sequences tr_A0A0V1DG99_A0A0V1DG99_TRIBR_45882 and tr_A0A0V1NZV5_A0A0V1NZV5_9BILA_92180 are exactly identical!
WARNING: Sequences tr_A0A0V1DG99_A0A0V1DG99_TRIBR_45882 and tr_A0A0V0U1T6_A0A0V0U1T6_9BILA_144512 are exactly identical!
WARNING: Sequences tr_A0A0V0XA41_A0A0V0XA41_9BILA_92179 and tr_A0A0V1L2Q3_A0A0V1L2Q3_9BILA_6335 are exactly identical!
WARNING: Sequences tr_A0A151WZ20_A0A151WZ20_9HYME_64791 and tr_A0A195EZ91_A0A195EZ91_9HYME_34720 are exactly identical!
WARNING: Sequences tr_A0A151WZ20_A0A151WZ20_9HYME_64791 and tr_A0A195CDG3_A0A195CDG3_9HYME_456900 are exactly identical!
WARNING: Sequences tr_A0A2D0QFA1_A0A2D0QFA1_ICTPU_7998 and tr_A0A2D0QG94_A0A2D0QG94_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0S0D0_A0A2D0S0D0_ICTPU_7998 and tr_A0A2D0S0F1_A0A2D0S0F1_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0SQB6_A0A2D0SQB6_ICTPU_7998 and tr_A0A2D0SQB7_A0A2D0SQB7_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0SQB6_A0A2D0SQB6_ICTPU_7998 and tr_A0A2D0SQC1_A0A2D0SQC1_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0SQB6_A0A2D0SQB6_ICTPU_7998 and tr_A0A2D0SQW6_A0A2D0SQW6_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0SQC0_A0A2D0SQC0_ICTPU_7998 and tr_A0A2D0SQX7_A0A2D0SQX7_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0SQC0_A0A2D0SQC0_ICTPU_7998 and tr_W5UQH7_W5UQH7_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0SQC6_A0A2D0SQC6_ICTPU_7998 and tr_A0A2D0SQX1_A0A2D0SQX1_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0SQC6_A0A2D0SQC6_ICTPU_7998 and tr_A0A2D0SRH6_A0A2D0SRH6_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0SQD1_A0A2D0SQD1_ICTPU_7998 and tr_A0A2D0SQY2_A0A2D0SQY2_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0SQD9_A0A2D0SQD9_ICTPU_7998 and tr_A0A2D0SQE1_A0A2D0SQE1_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0SQD9_A0A2D0SQD9_ICTPU_7998 and tr_A0A2D0SQY6_A0A2D0SQY6_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0SQD9_A0A2D0SQD9_ICTPU_7998 and tr_A0A2D0SRJ1_A0A2D0SRJ1_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2U3V0N8_A0A2U3V0N8_TURTR_9739 and tr_A0A2Y9P3I5_A0A2Y9P3I5_DELLE_9749 are exactly identical!
WARNING: Sequences tr_A0A2U3V0N8_A0A2U3V0N8_TURTR_9739 and tr_A0A2Y9TG99_A0A2Y9TG99_PHYCD_9755 are exactly identical!
WARNING: Sequences tr_A0A2U4C112_A0A2U4C112_TURTR_9739 and tr_A0A2Y9LTT7_A0A2Y9LTT7_DELLE_9749 are exactly identical!
WARNING: Sequences tr_A0A2U4C112_A0A2U4C112_TURTR_9739 and tr_A0A2Y9EJ11_A0A2Y9EJ11_PHYCD_9755 are exactly identical!
WARNING: Sequences tr_A0A2Y9EVL3_A0A2Y9EVL3_PHYCD_9755 and tr_A0A384AND8_A0A384AND8_BALAS_310752 are exactly identical!
WARNING: Duplicate sequences found: 108

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/O14936/3_mltree/O14936.raxml.reduced.phy

Alignment comprises 1 partitions and 548 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 548 / 548
Gaps: 26.21 %
Invariant sites: 0.18 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O14936/3_mltree/O14936.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 -708197.335231] Initial branch length optimization
[00:00:03 -589347.118926] Model parameter optimization (eps = 10.000000)
[00:00:32 -586767.611554] AUTODETECT spr round 1 (radius: 5)
[00:02:16 -336534.984512] AUTODETECT spr round 2 (radius: 10)
[00:04:01 -229855.591657] AUTODETECT spr round 3 (radius: 15)
[00:05:57 -185173.402623] AUTODETECT spr round 4 (radius: 20)
[00:08:05 -161677.487915] AUTODETECT spr round 5 (radius: 25)
[00:10:20 -157250.928265] SPR radius for FAST iterations: 25 (autodetect)
[00:10:20 -157250.928265] Model parameter optimization (eps = 3.000000)
[00:10:44 -156933.493348] FAST spr round 1 (radius: 25)
[00:12:56 -131703.706799] FAST spr round 2 (radius: 25)
[00:14:37 -130245.432538] FAST spr round 3 (radius: 25)
[00:16:11 -130169.249020] FAST spr round 4 (radius: 25)
[00:17:40 -130159.642386] FAST spr round 5 (radius: 25)
[00:19:08 -130149.370362] FAST spr round 6 (radius: 25)
[00:20:32 -130149.369025] Model parameter optimization (eps = 1.000000)
[00:20:47 -130143.517693] SLOW spr round 1 (radius: 5)
[00:22:32 -130105.785056] SLOW spr round 2 (radius: 5)
[00:24:15 -130104.598453] SLOW spr round 3 (radius: 5)
[00:25:57 -130104.546316] SLOW spr round 4 (radius: 10)
[00:27:40 -130104.545395] SLOW spr round 5 (radius: 15)
[00:30:10 -130104.544689] SLOW spr round 6 (radius: 20)
[00:33:30 -130104.544086] SLOW spr round 7 (radius: 25)
[00:37:51 -130104.543544] Model parameter optimization (eps = 0.100000)

[00:37:56] ML tree search #1, logLikelihood: -130104.499100

[00:37:56 -708896.264738] Initial branch length optimization
[00:38:00 -588471.025476] Model parameter optimization (eps = 10.000000)
[00:38:24 -586134.431760] AUTODETECT spr round 1 (radius: 5)
[00:40:10 -346320.087916] AUTODETECT spr round 2 (radius: 10)
[00:42:00 -239403.393441] AUTODETECT spr round 3 (radius: 15)
[00:43:56 -189360.757424] AUTODETECT spr round 4 (radius: 20)
[00:46:03 -164939.346998] AUTODETECT spr round 5 (radius: 25)
[00:48:26 -158304.542721] SPR radius for FAST iterations: 25 (autodetect)
[00:48:26 -158304.542721] Model parameter optimization (eps = 3.000000)
[00:48:50 -157905.496861] FAST spr round 1 (radius: 25)
[00:51:01 -133536.679484] FAST spr round 2 (radius: 25)
[00:52:48 -130692.142646] FAST spr round 3 (radius: 25)
[00:54:23 -130294.337906] FAST spr round 4 (radius: 25)
[00:55:59 -130217.722330] FAST spr round 5 (radius: 25)
[00:57:30 -130207.384781] FAST spr round 6 (radius: 25)
[00:58:58 -130174.093195] FAST spr round 7 (radius: 25)
[01:00:25 -130166.415974] FAST spr round 8 (radius: 25)
[01:01:51 -130163.019864] FAST spr round 9 (radius: 25)
[01:03:15 -130163.019732] Model parameter optimization (eps = 1.000000)
[01:03:30 -130157.300062] SLOW spr round 1 (radius: 5)
[01:05:13 -130135.104995] SLOW spr round 2 (radius: 5)
[01:06:57 -130130.583635] SLOW spr round 3 (radius: 5)
[01:08:42 -130130.564155] SLOW spr round 4 (radius: 10)
[01:10:30 -130125.667582] SLOW spr round 5 (radius: 5)
[01:12:36 -130123.208060] SLOW spr round 6 (radius: 5)
[01:14:28 -130123.207052] SLOW spr round 7 (radius: 10)
[01:16:18 -130123.206528] SLOW spr round 8 (radius: 15)
[01:18:47 -130103.559004] SLOW spr round 9 (radius: 5)
[01:20:56 -130103.556037] SLOW spr round 10 (radius: 10)
[01:22:55 -130103.555601] SLOW spr round 11 (radius: 15)
[01:25:19 -130103.555531] SLOW spr round 12 (radius: 20)
[01:28:41 -130103.555515] SLOW spr round 13 (radius: 25)
[01:32:58 -130103.555508] Model parameter optimization (eps = 0.100000)

[01:33:03] ML tree search #2, logLikelihood: -130103.501279

[01:33:03 -701654.651213] Initial branch length optimization
[01:33:07 -583568.443599] Model parameter optimization (eps = 10.000000)
[01:33:34 -581193.793196] AUTODETECT spr round 1 (radius: 5)
[01:35:17 -347093.126214] AUTODETECT spr round 2 (radius: 10)
[01:37:10 -229988.379456] AUTODETECT spr round 3 (radius: 15)
[01:39:06 -192452.190939] AUTODETECT spr round 4 (radius: 20)
[01:41:12 -173842.596002] AUTODETECT spr round 5 (radius: 25)
[01:43:53 -158423.561930] SPR radius for FAST iterations: 25 (autodetect)
[01:43:53 -158423.561930] Model parameter optimization (eps = 3.000000)
[01:44:11 -158168.061258] FAST spr round 1 (radius: 25)
[01:46:21 -132321.388268] FAST spr round 2 (radius: 25)
[01:48:10 -130247.982283] FAST spr round 3 (radius: 25)
[01:49:45 -130150.884914] FAST spr round 4 (radius: 25)
[01:51:18 -130140.490943] FAST spr round 5 (radius: 25)
[01:52:44 -130140.490515] Model parameter optimization (eps = 1.000000)
[01:52:57 -130136.090493] SLOW spr round 1 (radius: 5)
[01:54:45 -130103.111808] SLOW spr round 2 (radius: 5)
[01:56:31 -130100.413265] SLOW spr round 3 (radius: 5)
[01:58:16 -130099.802383] SLOW spr round 4 (radius: 5)
[01:59:58 -130099.801841] SLOW spr round 5 (radius: 10)
[02:01:43 -130099.801827] SLOW spr round 6 (radius: 15)
[02:04:10 -130098.499700] SLOW spr round 7 (radius: 5)
[02:06:19 -130096.590641] SLOW spr round 8 (radius: 5)
[02:08:16 -130091.476139] SLOW spr round 9 (radius: 5)
[02:10:03 -130091.454919] SLOW spr round 10 (radius: 10)
[02:11:50 -130091.454334] SLOW spr round 11 (radius: 15)
[02:14:14 -130091.453634] SLOW spr round 12 (radius: 20)
[02:17:15 -130091.453062] SLOW spr round 13 (radius: 25)
[02:21:13 -130091.452496] Model parameter optimization (eps = 0.100000)

[02:21:19] ML tree search #3, logLikelihood: -130091.358234

[02:21:19 -704187.289605] Initial branch length optimization
[02:21:23 -581327.184702] Model parameter optimization (eps = 10.000000)
[02:22:01 -578964.753587] AUTODETECT spr round 1 (radius: 5)
[02:23:48 -352787.765588] AUTODETECT spr round 2 (radius: 10)
[02:25:38 -243486.757582] AUTODETECT spr round 3 (radius: 15)
[02:27:37 -185446.628544] AUTODETECT spr round 4 (radius: 20)
[02:29:52 -164652.257774] AUTODETECT spr round 5 (radius: 25)
[02:32:27 -154930.385277] SPR radius for FAST iterations: 25 (autodetect)
[02:32:27 -154930.385277] Model parameter optimization (eps = 3.000000)
[02:32:51 -154623.158851] FAST spr round 1 (radius: 25)
[02:35:02 -132431.086041] FAST spr round 2 (radius: 25)
[02:36:53 -130784.583691] FAST spr round 3 (radius: 25)
[02:38:33 -130613.053466] FAST spr round 4 (radius: 25)
[02:40:10 -130519.182843] FAST spr round 5 (radius: 25)
[02:41:39 -130215.204520] FAST spr round 6 (radius: 25)
[02:43:07 -130195.853968] FAST spr round 7 (radius: 25)
[02:44:34 -130185.769167] FAST spr round 8 (radius: 25)
[02:45:58 -130185.769109] Model parameter optimization (eps = 1.000000)
[02:46:16 -130143.361493] SLOW spr round 1 (radius: 5)
[02:48:02 -130104.009062] SLOW spr round 2 (radius: 5)
[02:49:45 -130103.525725] SLOW spr round 3 (radius: 5)
[02:51:29 -130103.523807] SLOW spr round 4 (radius: 10)
[02:53:15 -130103.523342] SLOW spr round 5 (radius: 15)
[02:55:40 -130084.873569] SLOW spr round 6 (radius: 5)
[02:57:50 -130084.873232] SLOW spr round 7 (radius: 10)
[02:59:47 -130084.294200] SLOW spr round 8 (radius: 5)
[03:01:48 -130084.293277] SLOW spr round 9 (radius: 10)
[03:03:42 -130084.292776] SLOW spr round 10 (radius: 15)
[03:05:59 -130084.292492] SLOW spr round 11 (radius: 20)
[03:09:04 -130084.292329] SLOW spr round 12 (radius: 25)
[03:13:10 -130084.292234] Model parameter optimization (eps = 0.100000)

[03:13:19] ML tree search #4, logLikelihood: -130083.955703

[03:13:19 -700623.869515] Initial branch length optimization
[03:13:23 -578745.312147] Model parameter optimization (eps = 10.000000)
[03:13:45 -576378.248338] AUTODETECT spr round 1 (radius: 5)
[03:15:32 -350613.027959] AUTODETECT spr round 2 (radius: 10)
[03:17:22 -238175.993907] AUTODETECT spr round 3 (radius: 15)
[03:19:25 -191432.770452] AUTODETECT spr round 4 (radius: 20)
[03:21:54 -168932.472066] AUTODETECT spr round 5 (radius: 25)
[03:24:25 -156102.758512] SPR radius for FAST iterations: 25 (autodetect)
[03:24:25 -156102.758512] Model parameter optimization (eps = 3.000000)
[03:24:45 -155793.081056] FAST spr round 1 (radius: 25)
[03:26:52 -131543.042527] FAST spr round 2 (radius: 25)
[03:28:35 -130257.319359] FAST spr round 3 (radius: 25)
[03:30:12 -130165.344437] FAST spr round 4 (radius: 25)
[03:31:43 -130154.613081] FAST spr round 5 (radius: 25)
[03:33:08 -130154.612312] Model parameter optimization (eps = 1.000000)
[03:33:26 -130144.785288] SLOW spr round 1 (radius: 5)
[03:35:11 -130103.090343] SLOW spr round 2 (radius: 5)
[03:36:56 -130099.366681] SLOW spr round 3 (radius: 5)
[03:38:40 -130098.746030] SLOW spr round 4 (radius: 5)
[03:40:20 -130098.745914] SLOW spr round 5 (radius: 10)
[03:42:03 -130098.619623] SLOW spr round 6 (radius: 5)
[03:44:05 -130098.619524] SLOW spr round 7 (radius: 10)
[03:45:59 -130098.619523] SLOW spr round 8 (radius: 15)
[03:48:22 -130098.619522] SLOW spr round 9 (radius: 20)
[03:51:47 -130098.619522] SLOW spr round 10 (radius: 25)
[03:56:00 -130098.619522] Model parameter optimization (eps = 0.100000)

[03:56:08] ML tree search #5, logLikelihood: -130098.525265

[03:56:08 -709876.227656] Initial branch length optimization
[03:56:11 -585714.205626] Model parameter optimization (eps = 10.000000)
[03:56:53 -583311.085060] AUTODETECT spr round 1 (radius: 5)
[03:58:40 -352872.721763] AUTODETECT spr round 2 (radius: 10)
[04:00:31 -241523.538019] AUTODETECT spr round 3 (radius: 15)
[04:02:33 -185580.608675] AUTODETECT spr round 4 (radius: 20)
[04:04:50 -164235.471096] AUTODETECT spr round 5 (radius: 25)
[04:07:12 -155135.838918] SPR radius for FAST iterations: 25 (autodetect)
[04:07:12 -155135.838918] Model parameter optimization (eps = 3.000000)
[04:07:37 -154829.200042] FAST spr round 1 (radius: 25)
[04:09:49 -131622.969636] FAST spr round 2 (radius: 25)
[04:11:39 -130601.412871] FAST spr round 3 (radius: 25)
[04:13:20 -130512.074593] FAST spr round 4 (radius: 25)
[04:14:55 -130503.426875] FAST spr round 5 (radius: 25)
[04:16:22 -130503.426176] Model parameter optimization (eps = 1.000000)
[04:16:39 -130480.388608] SLOW spr round 1 (radius: 5)
[04:18:27 -130438.709996] SLOW spr round 2 (radius: 5)
[04:20:16 -130424.298881] SLOW spr round 3 (radius: 5)
[04:22:02 -130420.950695] SLOW spr round 4 (radius: 5)
[04:23:48 -130420.392031] SLOW spr round 5 (radius: 5)
[04:25:32 -130420.391114] SLOW spr round 6 (radius: 10)
[04:27:19 -130420.297400] SLOW spr round 7 (radius: 15)
[04:29:45 -130413.693524] SLOW spr round 8 (radius: 5)
[04:31:59 -130410.867164] SLOW spr round 9 (radius: 5)
[04:33:57 -130409.967573] SLOW spr round 10 (radius: 5)
[04:35:47 -130409.966939] SLOW spr round 11 (radius: 10)
[04:37:35 -130409.966481] SLOW spr round 12 (radius: 15)
[04:39:59 -130409.966034] SLOW spr round 13 (radius: 20)
[04:43:17 -130409.965592] SLOW spr round 14 (radius: 25)
[04:47:47 -130409.965155] Model parameter optimization (eps = 0.100000)

[04:47:59] ML tree search #6, logLikelihood: -130409.530555

[04:47:59 -697489.704726] Initial branch length optimization
[04:48:02 -581349.136245] Model parameter optimization (eps = 10.000000)
[04:48:38 -578870.854073] AUTODETECT spr round 1 (radius: 5)
[04:50:23 -338364.094889] AUTODETECT spr round 2 (radius: 10)
[04:52:12 -229547.580150] AUTODETECT spr round 3 (radius: 15)
[04:54:09 -184573.836780] AUTODETECT spr round 4 (radius: 20)
[04:56:20 -159652.633945] AUTODETECT spr round 5 (radius: 25)
[04:58:43 -150925.872830] SPR radius for FAST iterations: 25 (autodetect)
[04:58:43 -150925.872830] Model parameter optimization (eps = 3.000000)
[04:59:05 -150644.046194] FAST spr round 1 (radius: 25)
[05:01:04 -131276.570245] FAST spr round 2 (radius: 25)
[05:02:45 -130359.545086] FAST spr round 3 (radius: 25)
[05:04:18 -130260.306971] FAST spr round 4 (radius: 25)
[05:05:48 -130242.352686] FAST spr round 5 (radius: 25)
[05:07:14 -130242.349674] Model parameter optimization (eps = 1.000000)
[05:07:28 -130235.874279] SLOW spr round 1 (radius: 5)
[05:09:11 -130197.245851] SLOW spr round 2 (radius: 5)
[05:10:54 -130189.612161] SLOW spr round 3 (radius: 5)
[05:12:37 -130189.182761] SLOW spr round 4 (radius: 5)
[05:14:18 -130189.182554] SLOW spr round 5 (radius: 10)
[05:16:01 -130189.064348] SLOW spr round 6 (radius: 5)
[05:18:01 -130189.064252] SLOW spr round 7 (radius: 10)
[05:19:51 -130189.064181] SLOW spr round 8 (radius: 15)
[05:22:12 -130181.685365] SLOW spr round 9 (radius: 5)
[05:24:22 -130180.458832] SLOW spr round 10 (radius: 5)
[05:26:15 -130180.453275] SLOW spr round 11 (radius: 10)
[05:28:03 -130180.452870] SLOW spr round 12 (radius: 15)
[05:30:26 -130180.452425] SLOW spr round 13 (radius: 20)
[05:33:43 -130180.452294] SLOW spr round 14 (radius: 25)
[05:37:58 -130180.452220] Model parameter optimization (eps = 0.100000)

[05:38:03] ML tree search #7, logLikelihood: -130180.406856

[05:38:03 -697186.314432] Initial branch length optimization
[05:38:07 -576574.360571] Model parameter optimization (eps = 10.000000)
[05:38:34 -574298.881766] AUTODETECT spr round 1 (radius: 5)
[05:40:19 -358434.794926] AUTODETECT spr round 2 (radius: 10)
[05:42:08 -250956.074275] AUTODETECT spr round 3 (radius: 15)
[05:44:04 -187271.815015] AUTODETECT spr round 4 (radius: 20)
[05:46:13 -160076.559422] AUTODETECT spr round 5 (radius: 25)
[05:48:33 -154940.605426] SPR radius for FAST iterations: 25 (autodetect)
[05:48:33 -154940.605426] Model parameter optimization (eps = 3.000000)
[05:48:55 -154631.884836] FAST spr round 1 (radius: 25)
[05:51:05 -131512.824808] FAST spr round 2 (radius: 25)
[05:52:51 -130296.517011] FAST spr round 3 (radius: 25)
[05:54:25 -130230.100349] FAST spr round 4 (radius: 25)
[05:55:55 -130210.594700] FAST spr round 5 (radius: 25)
[05:57:23 -130198.330522] FAST spr round 6 (radius: 25)
[05:58:49 -130197.898534] FAST spr round 7 (radius: 25)
[06:00:13 -130197.898093] Model parameter optimization (eps = 1.000000)
[06:00:28 -130157.664078] SLOW spr round 1 (radius: 5)
[06:02:09 -130119.226856] SLOW spr round 2 (radius: 5)
[06:03:52 -130104.008347] SLOW spr round 3 (radius: 5)
[06:05:35 -130103.224962] SLOW spr round 4 (radius: 5)
[06:07:16 -130103.224914] SLOW spr round 5 (radius: 10)
[06:09:00 -130103.224878] SLOW spr round 6 (radius: 15)
[06:11:20 -130103.119158] SLOW spr round 7 (radius: 5)
[06:13:25 -130103.118912] SLOW spr round 8 (radius: 10)
[06:15:23 -130103.118903] SLOW spr round 9 (radius: 15)
[06:17:38 -130103.118896] SLOW spr round 10 (radius: 20)
[06:20:40 -130103.118889] SLOW spr round 11 (radius: 25)
[06:24:34 -130092.565801] SLOW spr round 12 (radius: 5)
[06:26:45 -130089.748312] SLOW spr round 13 (radius: 5)
[06:28:42 -130089.134562] SLOW spr round 14 (radius: 5)
[06:30:30 -130089.134501] SLOW spr round 15 (radius: 10)
[06:32:15 -130089.134494] SLOW spr round 16 (radius: 15)
[06:34:31 -130089.134487] SLOW spr round 17 (radius: 20)
[06:37:23 -130089.134480] SLOW spr round 18 (radius: 25)
[06:41:13 -130089.134473] Model parameter optimization (eps = 0.100000)

[06:41:21] ML tree search #8, logLikelihood: -130089.001878

[06:41:21 -699347.601177] Initial branch length optimization
[06:41:25 -580042.164491] Model parameter optimization (eps = 10.000000)
[06:41:51 -577620.709363] AUTODETECT spr round 1 (radius: 5)
[06:43:36 -355568.699876] AUTODETECT spr round 2 (radius: 10)
[06:45:24 -248599.221467] AUTODETECT spr round 3 (radius: 15)
[06:47:24 -186477.606743] AUTODETECT spr round 4 (radius: 20)
[06:49:31 -157623.181743] AUTODETECT spr round 5 (radius: 25)
[06:51:43 -153682.530441] SPR radius for FAST iterations: 25 (autodetect)
[06:51:43 -153682.530441] Model parameter optimization (eps = 3.000000)
[06:52:07 -153366.611581] FAST spr round 1 (radius: 25)
[06:54:15 -130998.480888] FAST spr round 2 (radius: 25)
[06:56:03 -130252.069767] FAST spr round 3 (radius: 25)
[06:57:41 -130161.537497] FAST spr round 4 (radius: 25)
[06:59:13 -130156.888722] FAST spr round 5 (radius: 25)
[07:00:41 -130153.371437] FAST spr round 6 (radius: 25)
[07:02:05 -130152.701773] FAST spr round 7 (radius: 25)
[07:03:30 -130152.678017] Model parameter optimization (eps = 1.000000)
[07:03:43 -130143.659413] SLOW spr round 1 (radius: 5)
[07:05:28 -130102.712495] SLOW spr round 2 (radius: 5)
[07:07:13 -130092.304261] SLOW spr round 3 (radius: 5)
[07:08:55 -130092.301416] SLOW spr round 4 (radius: 10)
[07:10:38 -130092.081396] SLOW spr round 5 (radius: 5)
[07:12:40 -130092.080625] SLOW spr round 6 (radius: 10)
[07:14:30 -130092.080601] SLOW spr round 7 (radius: 15)
[07:16:47 -130091.602862] SLOW spr round 8 (radius: 5)
[07:18:54 -130086.050537] SLOW spr round 9 (radius: 5)
[07:20:48 -130086.050525] SLOW spr round 10 (radius: 10)
[07:22:36 -130086.050524] SLOW spr round 11 (radius: 15)
[07:24:55 -130086.050524] SLOW spr round 12 (radius: 20)
[07:28:02 -130086.050524] SLOW spr round 13 (radius: 25)
[07:32:04 -130086.050522] Model parameter optimization (eps = 0.100000)

[07:32:10] ML tree search #9, logLikelihood: -130085.995118

[07:32:10 -702007.452602] Initial branch length optimization
[07:32:15 -582178.075431] Model parameter optimization (eps = 10.000000)
[07:32:49 -579782.948466] AUTODETECT spr round 1 (radius: 5)
[07:34:34 -343590.053108] AUTODETECT spr round 2 (radius: 10)
[07:36:21 -240032.843404] AUTODETECT spr round 3 (radius: 15)
[07:38:14 -197137.096336] AUTODETECT spr round 4 (radius: 20)
[07:40:16 -168135.700171] AUTODETECT spr round 5 (radius: 25)
[07:42:35 -159286.809716] SPR radius for FAST iterations: 25 (autodetect)
[07:42:35 -159286.809716] Model parameter optimization (eps = 3.000000)
[07:43:02 -158967.816902] FAST spr round 1 (radius: 25)
[07:45:12 -131725.758739] FAST spr round 2 (radius: 25)
[07:46:59 -130293.208086] FAST spr round 3 (radius: 25)
[07:48:37 -130179.010094] FAST spr round 4 (radius: 25)
[07:50:07 -130162.520199] FAST spr round 5 (radius: 25)
[07:51:33 -130152.653316] FAST spr round 6 (radius: 25)
[07:52:58 -130143.708673] FAST spr round 7 (radius: 25)
[07:54:21 -130142.555170] FAST spr round 8 (radius: 25)
[07:55:44 -130142.554755] Model parameter optimization (eps = 1.000000)
[07:55:59 -130133.146211] SLOW spr round 1 (radius: 5)
[07:57:43 -130091.280121] SLOW spr round 2 (radius: 5)
[07:59:29 -130087.720801] SLOW spr round 3 (radius: 5)
[08:01:14 -130084.017705] SLOW spr round 4 (radius: 5)
[08:02:53 -130084.017627] SLOW spr round 5 (radius: 10)
[08:04:36 -130083.808602] SLOW spr round 6 (radius: 5)
[08:06:37 -130083.808050] SLOW spr round 7 (radius: 10)
[08:08:29 -130083.808026] SLOW spr round 8 (radius: 15)
[08:10:47 -130083.707671] SLOW spr round 9 (radius: 5)
[08:12:52 -130083.707531] SLOW spr round 10 (radius: 10)
[08:14:48 -130083.707519] SLOW spr round 11 (radius: 15)
[08:17:02 -130083.707512] SLOW spr round 12 (radius: 20)
[08:20:06 -130083.707506] SLOW spr round 13 (radius: 25)
[08:24:09 -130083.707499] Model parameter optimization (eps = 0.100000)

[08:24:18] ML tree search #10, logLikelihood: -130083.464160

[08:24:18 -701741.146429] Initial branch length optimization
[08:24:22 -581440.094104] Model parameter optimization (eps = 10.000000)
[08:24:47 -579293.357359] AUTODETECT spr round 1 (radius: 5)
[08:26:32 -339469.416498] AUTODETECT spr round 2 (radius: 10)
[08:28:21 -233389.910460] AUTODETECT spr round 3 (radius: 15)
[08:30:19 -185772.313748] AUTODETECT spr round 4 (radius: 20)
[08:32:38 -156694.434104] AUTODETECT spr round 5 (radius: 25)
[08:35:15 -152302.830623] SPR radius for FAST iterations: 25 (autodetect)
[08:35:15 -152302.830623] Model parameter optimization (eps = 3.000000)
[08:35:38 -152070.501081] FAST spr round 1 (radius: 25)
[08:37:44 -131568.092924] FAST spr round 2 (radius: 25)
[08:39:27 -130264.222219] FAST spr round 3 (radius: 25)
[08:41:01 -130178.168734] FAST spr round 4 (radius: 25)
[08:42:32 -130171.032707] FAST spr round 5 (radius: 25)
[08:43:57 -130168.493003] FAST spr round 6 (radius: 25)
[08:45:21 -130168.492835] Model parameter optimization (eps = 1.000000)
[08:45:34 -130157.580566] SLOW spr round 1 (radius: 5)
[08:47:17 -130126.334747] SLOW spr round 2 (radius: 5)
[08:49:00 -130124.071466] SLOW spr round 3 (radius: 5)
[08:50:39 -130124.070847] SLOW spr round 4 (radius: 10)
[08:52:24 -130117.698358] SLOW spr round 5 (radius: 5)
[08:54:31 -130105.963513] SLOW spr round 6 (radius: 5)
[08:56:20 -130105.493040] SLOW spr round 7 (radius: 5)
[08:58:04 -130105.492903] SLOW spr round 8 (radius: 10)
[08:59:49 -130105.492889] SLOW spr round 9 (radius: 15)
[09:02:18 -130099.070600] SLOW spr round 10 (radius: 5)
[09:04:27 -130097.456443] SLOW spr round 11 (radius: 5)
[09:06:20 -130097.447660] SLOW spr round 12 (radius: 10)
[09:08:09 -130097.447394] SLOW spr round 13 (radius: 15)
[09:10:33 -130097.447346] SLOW spr round 14 (radius: 20)
[09:13:54 -130097.447329] SLOW spr round 15 (radius: 25)
[09:18:20 -130097.447317] Model parameter optimization (eps = 0.100000)

[09:18:28] ML tree search #11, logLikelihood: -130097.203840

[09:18:28 -702540.655160] Initial branch length optimization
[09:18:32 -585582.850624] Model parameter optimization (eps = 10.000000)
[09:18:59 -583017.375570] AUTODETECT spr round 1 (radius: 5)
[09:20:42 -338130.064683] AUTODETECT spr round 2 (radius: 10)
[09:22:30 -234274.038899] AUTODETECT spr round 3 (radius: 15)
[09:24:23 -192379.082342] AUTODETECT spr round 4 (radius: 20)
[09:26:25 -167773.457343] AUTODETECT spr round 5 (radius: 25)
[09:28:41 -158668.400441] SPR radius for FAST iterations: 25 (autodetect)
[09:28:41 -158668.400441] Model parameter optimization (eps = 3.000000)
[09:29:02 -158332.537487] FAST spr round 1 (radius: 25)
[09:31:14 -135545.065917] FAST spr round 2 (radius: 25)
[09:33:00 -130760.835043] FAST spr round 3 (radius: 25)
[09:34:39 -130143.552544] FAST spr round 4 (radius: 25)
[09:36:09 -130117.401615] FAST spr round 5 (radius: 25)
[09:37:36 -130116.929764] FAST spr round 6 (radius: 25)
[09:39:00 -130116.929224] Model parameter optimization (eps = 1.000000)
[09:39:13 -130109.159748] SLOW spr round 1 (radius: 5)
[09:40:57 -130076.460370] SLOW spr round 2 (radius: 5)
[09:42:41 -130074.417134] SLOW spr round 3 (radius: 5)
[09:44:24 -130074.416390] SLOW spr round 4 (radius: 10)
[09:46:07 -130074.301260] SLOW spr round 5 (radius: 5)
[09:48:07 -130074.300859] SLOW spr round 6 (radius: 10)
[09:50:01 -130074.300829] SLOW spr round 7 (radius: 15)
[09:52:18 -130074.300813] SLOW spr round 8 (radius: 20)
[09:55:23 -130074.300795] SLOW spr round 9 (radius: 25)
[09:59:26 -130074.300786] Model parameter optimization (eps = 0.100000)

[09:59:34] ML tree search #12, logLikelihood: -130074.198522

[09:59:34 -701048.393881] Initial branch length optimization
[09:59:39 -577825.478831] Model parameter optimization (eps = 10.000000)
[10:00:04 -575450.610612] AUTODETECT spr round 1 (radius: 5)
[10:01:49 -345658.881761] AUTODETECT spr round 2 (radius: 10)
[10:03:37 -233625.250186] AUTODETECT spr round 3 (radius: 15)
[10:05:33 -185915.599717] AUTODETECT spr round 4 (radius: 20)
[10:07:53 -163183.497121] AUTODETECT spr round 5 (radius: 25)
[10:10:11 -152387.911594] SPR radius for FAST iterations: 25 (autodetect)
[10:10:11 -152387.911594] Model parameter optimization (eps = 3.000000)
[10:10:34 -152141.793327] FAST spr round 1 (radius: 25)
[10:12:34 -131111.272139] FAST spr round 2 (radius: 25)
[10:14:18 -130248.901552] FAST spr round 3 (radius: 25)
[10:15:51 -130166.635687] FAST spr round 4 (radius: 25)
[10:17:22 -130146.524421] FAST spr round 5 (radius: 25)
[10:18:49 -130141.607007] FAST spr round 6 (radius: 25)
[10:20:13 -130140.324696] FAST spr round 7 (radius: 25)
[10:21:37 -130140.324129] Model parameter optimization (eps = 1.000000)
[10:21:50 -130129.634775] SLOW spr round 1 (radius: 5)
[10:23:33 -130095.062199] SLOW spr round 2 (radius: 5)
[10:25:16 -130093.551387] SLOW spr round 3 (radius: 5)
[10:26:58 -130093.284599] SLOW spr round 4 (radius: 5)
[10:28:40 -130093.283878] SLOW spr round 5 (radius: 10)
[10:30:24 -130093.283282] SLOW spr round 6 (radius: 15)
[10:32:49 -130093.155094] SLOW spr round 7 (radius: 5)
[10:34:55 -130093.154490] SLOW spr round 8 (radius: 10)
[10:36:52 -130093.153906] SLOW spr round 9 (radius: 15)
[10:39:08 -130093.153327] SLOW spr round 10 (radius: 20)
[10:42:33 -130093.152748] SLOW spr round 11 (radius: 25)
[10:46:53 -130093.152258] Model parameter optimization (eps = 0.100000)

[10:46:58] ML tree search #13, logLikelihood: -130093.124761

[10:46:58 -699299.978629] Initial branch length optimization
[10:47:01 -581045.131040] Model parameter optimization (eps = 10.000000)
[10:47:24 -578627.730417] AUTODETECT spr round 1 (radius: 5)
[10:49:09 -338167.540233] AUTODETECT spr round 2 (radius: 10)
[10:50:56 -231013.437328] AUTODETECT spr round 3 (radius: 15)
[10:52:53 -183064.518376] AUTODETECT spr round 4 (radius: 20)
[10:55:02 -158754.050349] AUTODETECT spr round 5 (radius: 25)
[10:57:19 -152635.266912] SPR radius for FAST iterations: 25 (autodetect)
[10:57:19 -152635.266912] Model parameter optimization (eps = 3.000000)
[10:57:46 -152315.169354] FAST spr round 1 (radius: 25)
[10:59:58 -131925.032703] FAST spr round 2 (radius: 25)
[11:01:44 -130905.374327] FAST spr round 3 (radius: 25)
[11:03:19 -130823.318475] FAST spr round 4 (radius: 25)
[11:04:50 -130807.108631] FAST spr round 5 (radius: 25)
[11:06:15 -130807.108470] Model parameter optimization (eps = 1.000000)
[11:06:26 -130801.281374] SLOW spr round 1 (radius: 5)
[11:08:10 -130765.958011] SLOW spr round 2 (radius: 5)
[11:09:54 -130755.394531] SLOW spr round 3 (radius: 5)
[11:11:38 -130754.525662] SLOW spr round 4 (radius: 5)
[11:13:17 -130754.525251] SLOW spr round 5 (radius: 10)
[11:15:01 -130752.785273] SLOW spr round 6 (radius: 5)
[11:17:04 -130752.023463] SLOW spr round 7 (radius: 5)
[11:18:54 -130752.021716] SLOW spr round 8 (radius: 10)
[11:20:40 -130752.021675] SLOW spr round 9 (radius: 15)
[11:23:02 -130751.886249] SLOW spr round 10 (radius: 5)
[11:25:07 -130751.886222] SLOW spr round 11 (radius: 10)
[11:27:03 -130751.886203] SLOW spr round 12 (radius: 15)
[11:29:21 -130751.886188] SLOW spr round 13 (radius: 20)
[11:32:26 -130751.886177] SLOW spr round 14 (radius: 25)
[11:36:24 -130751.886167] Model parameter optimization (eps = 0.100000)

[11:36:33] ML tree search #14, logLikelihood: -130751.619064

[11:36:33 -706267.105862] Initial branch length optimization
[11:36:36 -586691.011803] Model parameter optimization (eps = 10.000000)
[11:36:56 -584303.695847] AUTODETECT spr round 1 (radius: 5)
[11:38:40 -345470.525446] AUTODETECT spr round 2 (radius: 10)
[11:40:30 -236010.934896] AUTODETECT spr round 3 (radius: 15)
[11:42:25 -184331.898324] AUTODETECT spr round 4 (radius: 20)
[11:44:33 -160285.043360] AUTODETECT spr round 5 (radius: 25)
[11:46:54 -155222.058257] SPR radius for FAST iterations: 25 (autodetect)
[11:46:54 -155222.058257] Model parameter optimization (eps = 3.000000)
[11:47:16 -154820.897344] FAST spr round 1 (radius: 25)
[11:49:12 -131407.182664] FAST spr round 2 (radius: 25)
[11:50:36 -130291.929909] FAST spr round 3 (radius: 25)
[11:51:50 -130192.108592] FAST spr round 4 (radius: 25)
[11:53:02 -130188.659783] FAST spr round 5 (radius: 25)
[11:54:12 -130188.659435] Model parameter optimization (eps = 1.000000)
[11:54:22 -130178.412351] SLOW spr round 1 (radius: 5)
[11:55:46 -130115.628912] SLOW spr round 2 (radius: 5)
[11:57:09 -130107.856036] SLOW spr round 3 (radius: 5)
[11:58:32 -130107.099999] SLOW spr round 4 (radius: 5)
[11:59:54 -130107.097844] SLOW spr round 5 (radius: 10)
[12:01:18 -130107.016427] SLOW spr round 6 (radius: 15)
[12:03:08 -130107.016307] SLOW spr round 7 (radius: 20)
[12:05:35 -130104.683063] SLOW spr round 8 (radius: 5)
[12:07:17 -130104.679876] SLOW spr round 9 (radius: 10)
[12:08:51 -130104.679707] SLOW spr round 10 (radius: 15)
[12:10:36 -130104.678926] SLOW spr round 11 (radius: 20)
[12:13:04 -130104.678922] SLOW spr round 12 (radius: 25)
[12:16:21 -130104.678918] Model parameter optimization (eps = 0.100000)

[12:16:28] ML tree search #15, logLikelihood: -130104.209416

[12:16:28 -699480.657167] Initial branch length optimization
[12:16:31 -583902.044977] Model parameter optimization (eps = 10.000000)
[12:16:54 -581381.648405] AUTODETECT spr round 1 (radius: 5)
[12:18:19 -340609.895019] AUTODETECT spr round 2 (radius: 10)
[12:19:45 -221922.878988] AUTODETECT spr round 3 (radius: 15)
[12:21:15 -182078.760016] AUTODETECT spr round 4 (radius: 20)
[12:22:54 -165656.369284] AUTODETECT spr round 5 (radius: 25)
[12:24:50 -156202.980585] SPR radius for FAST iterations: 25 (autodetect)
[12:24:50 -156202.980585] Model parameter optimization (eps = 3.000000)
[12:25:15 -155917.664105] FAST spr round 1 (radius: 25)
[12:26:48 -131749.068802] FAST spr round 2 (radius: 25)
[12:28:07 -130278.363547] FAST spr round 3 (radius: 25)
[12:29:22 -130159.110513] FAST spr round 4 (radius: 25)
[12:30:33 -130155.702160] FAST spr round 5 (radius: 25)
[12:31:42 -130155.691037] Model parameter optimization (eps = 1.000000)
[12:31:53 -130141.228775] SLOW spr round 1 (radius: 5)
[12:33:14 -130100.756998] SLOW spr round 2 (radius: 5)
[12:34:36 -130099.448318] SLOW spr round 3 (radius: 5)
[12:35:58 -130098.946695] SLOW spr round 4 (radius: 5)
[12:37:18 -130098.945841] SLOW spr round 5 (radius: 10)
[12:38:41 -130096.025248] SLOW spr round 6 (radius: 5)
[12:40:19 -130093.905992] SLOW spr round 7 (radius: 5)
[12:41:49 -130091.955377] SLOW spr round 8 (radius: 5)
[12:43:13 -130091.951788] SLOW spr round 9 (radius: 10)
[12:44:38 -130083.844664] SLOW spr round 10 (radius: 5)
[12:46:15 -130082.772533] SLOW spr round 11 (radius: 5)
[12:47:42 -130082.770230] SLOW spr round 12 (radius: 10)
[12:49:07 -130082.769293] SLOW spr round 13 (radius: 15)
[12:51:02 -130082.768851] SLOW spr round 14 (radius: 20)
[12:53:40 -130082.768640] SLOW spr round 15 (radius: 25)
[12:57:08 -130082.768537] Model parameter optimization (eps = 0.100000)

[12:57:15] ML tree search #16, logLikelihood: -130082.324360

[12:57:15 -702074.575522] Initial branch length optimization
[12:57:17 -584709.792842] Model parameter optimization (eps = 10.000000)
[12:57:38 -582540.660061] AUTODETECT spr round 1 (radius: 5)
[12:59:02 -346918.160308] AUTODETECT spr round 2 (radius: 10)
[13:00:28 -237608.722869] AUTODETECT spr round 3 (radius: 15)
[13:02:01 -190923.935497] AUTODETECT spr round 4 (radius: 20)
[13:03:47 -165534.420322] AUTODETECT spr round 5 (radius: 25)
[13:05:58 -162144.105338] SPR radius for FAST iterations: 25 (autodetect)
[13:05:58 -162144.105338] Model parameter optimization (eps = 3.000000)
[13:06:16 -161755.979857] FAST spr round 1 (radius: 25)
[13:07:55 -134780.339637] FAST spr round 2 (radius: 25)
[13:09:17 -133909.318400] FAST spr round 3 (radius: 25)
[13:10:31 -133819.277713] FAST spr round 4 (radius: 25)
[13:11:46 -133413.512426] FAST spr round 5 (radius: 25)
[13:12:57 -131249.459896] FAST spr round 6 (radius: 25)
[13:14:07 -130166.508492] FAST spr round 7 (radius: 25)
[13:15:18 -130124.475320] FAST spr round 8 (radius: 25)
[13:16:25 -130124.474335] Model parameter optimization (eps = 1.000000)
[13:16:34 -130120.545647] SLOW spr round 1 (radius: 5)
[13:17:56 -130088.387818] SLOW spr round 2 (radius: 5)
[13:19:18 -130087.981047] SLOW spr round 3 (radius: 5)
[13:20:38 -130087.980316] SLOW spr round 4 (radius: 10)
[13:22:00 -130087.860270] SLOW spr round 5 (radius: 5)
[13:23:36 -130087.859823] SLOW spr round 6 (radius: 10)
[13:25:06 -130087.859381] SLOW spr round 7 (radius: 15)
[13:26:58 -130087.858942] SLOW spr round 8 (radius: 20)
[13:29:32 -130087.062985] SLOW spr round 9 (radius: 5)
[13:31:14 -130087.061563] SLOW spr round 10 (radius: 10)
[13:32:50 -130087.061215] SLOW spr round 11 (radius: 15)
[13:34:40 -130087.061179] SLOW spr round 12 (radius: 20)
[13:37:15 -130087.061149] SLOW spr round 13 (radius: 25)
[13:40:37 -130087.061120] Model parameter optimization (eps = 0.100000)

[13:40:43] ML tree search #17, logLikelihood: -130086.947522

[13:40:43 -701521.226035] Initial branch length optimization
[13:40:46 -580017.769178] Model parameter optimization (eps = 10.000000)
[13:41:07 -577783.024224] AUTODETECT spr round 1 (radius: 5)
[13:42:32 -355731.301888] AUTODETECT spr round 2 (radius: 10)
[13:44:00 -239340.893733] AUTODETECT spr round 3 (radius: 15)
[13:45:37 -178878.641138] AUTODETECT spr round 4 (radius: 20)
[13:47:21 -157110.978735] AUTODETECT spr round 5 (radius: 25)
[13:49:10 -154887.869660] SPR radius for FAST iterations: 25 (autodetect)
[13:49:10 -154887.869660] Model parameter optimization (eps = 3.000000)
[13:49:28 -154650.763456] FAST spr round 1 (radius: 25)
[13:51:03 -131069.160386] FAST spr round 2 (radius: 25)
[13:52:23 -130258.780926] FAST spr round 3 (radius: 25)
[13:53:39 -130183.281693] FAST spr round 4 (radius: 25)
[13:54:50 -130183.112468] FAST spr round 5 (radius: 25)
[13:56:00 -130183.111218] Model parameter optimization (eps = 1.000000)
[13:56:12 -130169.800881] SLOW spr round 1 (radius: 5)
[13:57:34 -130101.682440] SLOW spr round 2 (radius: 5)
[13:58:56 -130088.307306] SLOW spr round 3 (radius: 5)
[14:00:20 -130084.019432] SLOW spr round 4 (radius: 5)
[14:01:40 -130084.018965] SLOW spr round 5 (radius: 10)
[14:03:03 -130080.196028] SLOW spr round 6 (radius: 5)
[14:04:42 -130078.646992] SLOW spr round 7 (radius: 5)
[14:06:13 -130076.963651] SLOW spr round 8 (radius: 5)
[14:07:41 -130073.067730] SLOW spr round 9 (radius: 5)
[14:09:03 -130072.975759] SLOW spr round 10 (radius: 10)
[14:10:26 -130072.974686] SLOW spr round 11 (radius: 15)
[14:12:19 -130072.846195] SLOW spr round 12 (radius: 5)
[14:14:00 -130072.846156] SLOW spr round 13 (radius: 10)
[14:15:34 -130072.846144] SLOW spr round 14 (radius: 15)
[14:17:22 -130072.846133] SLOW spr round 15 (radius: 20)
[14:19:49 -130072.846122] SLOW spr round 16 (radius: 25)
[14:22:55 -130072.846112] Model parameter optimization (eps = 0.100000)

[14:23:02] ML tree search #18, logLikelihood: -130072.733168

[14:23:02 -701593.554187] Initial branch length optimization
[14:23:05 -584549.636656] Model parameter optimization (eps = 10.000000)
[14:23:26 -582307.581066] AUTODETECT spr round 1 (radius: 5)
[14:24:51 -348392.653514] AUTODETECT spr round 2 (radius: 10)
[14:26:20 -236961.968109] AUTODETECT spr round 3 (radius: 15)
[14:27:55 -192350.074363] AUTODETECT spr round 4 (radius: 20)
[14:29:45 -167561.701113] AUTODETECT spr round 5 (radius: 25)
[14:31:44 -159466.008797] SPR radius for FAST iterations: 25 (autodetect)
[14:31:44 -159466.008797] Model parameter optimization (eps = 3.000000)
[14:32:00 -159179.847688] FAST spr round 1 (radius: 25)
[14:33:40 -132403.363483] FAST spr round 2 (radius: 25)
[14:35:08 -130433.689989] FAST spr round 3 (radius: 25)
[14:36:26 -130305.234287] FAST spr round 4 (radius: 25)
[14:37:39 -130255.812241] FAST spr round 5 (radius: 25)
[14:38:50 -130183.671460] FAST spr round 6 (radius: 25)
[14:40:00 -130171.751341] FAST spr round 7 (radius: 25)
[14:41:07 -130171.751327] Model parameter optimization (eps = 1.000000)
[14:41:21 -130153.747626] SLOW spr round 1 (radius: 5)
[14:42:43 -130113.843530] SLOW spr round 2 (radius: 5)
[14:44:06 -130089.688391] SLOW spr round 3 (radius: 5)
[14:45:28 -130089.311430] SLOW spr round 4 (radius: 5)
[14:46:48 -130088.651253] SLOW spr round 5 (radius: 5)
[14:48:08 -130088.651179] SLOW spr round 6 (radius: 10)
[14:49:32 -130084.062140] SLOW spr round 7 (radius: 5)
[14:51:10 -130083.295837] SLOW spr round 8 (radius: 5)
[14:52:39 -130083.295807] SLOW spr round 9 (radius: 10)
[14:54:05 -130083.295563] SLOW spr round 10 (radius: 15)
[14:56:05 -130081.025205] SLOW spr round 11 (radius: 5)
[14:57:47 -130079.101837] SLOW spr round 12 (radius: 5)
[14:59:18 -130079.091308] SLOW spr round 13 (radius: 10)
[15:00:44 -130079.090273] SLOW spr round 14 (radius: 15)
[15:02:42 -130079.090139] SLOW spr round 15 (radius: 20)
[15:05:22 -130079.090115] SLOW spr round 16 (radius: 25)
[15:08:49 -130079.090104] Model parameter optimization (eps = 0.100000)

[15:08:57] ML tree search #19, logLikelihood: -130078.566632

[15:08:57 -699092.108382] Initial branch length optimization
[15:09:00 -579266.358841] Model parameter optimization (eps = 10.000000)
[15:09:19 -576925.615314] AUTODETECT spr round 1 (radius: 5)
[15:10:47 -343727.522241] AUTODETECT spr round 2 (radius: 10)
[15:12:18 -232976.225570] AUTODETECT spr round 3 (radius: 15)
[15:13:57 -189670.893888] AUTODETECT spr round 4 (radius: 20)
[15:15:46 -172896.062418] AUTODETECT spr round 5 (radius: 25)
[15:17:43 -158501.867504] SPR radius for FAST iterations: 25 (autodetect)
[15:17:43 -158501.867504] Model parameter optimization (eps = 3.000000)
[15:18:04 -158247.717890] FAST spr round 1 (radius: 25)
[15:19:50 -135812.772007] FAST spr round 2 (radius: 25)
[15:21:17 -134162.533019] FAST spr round 3 (radius: 25)
[15:22:37 -133680.928737] FAST spr round 4 (radius: 25)
[15:23:50 -130686.609359] FAST spr round 5 (radius: 25)
[15:25:09 -130240.669387] FAST spr round 6 (radius: 25)
[15:26:23 -130189.046790] FAST spr round 7 (radius: 25)
[15:27:34 -130170.711410] FAST spr round 8 (radius: 25)
[15:28:42 -130170.708002] Model parameter optimization (eps = 1.000000)
[15:28:54 -130154.755499] SLOW spr round 1 (radius: 5)
[15:30:19 -130103.654970] SLOW spr round 2 (radius: 5)
[15:31:42 -130084.272790] SLOW spr round 3 (radius: 5)
[15:33:05 -130080.421538] SLOW spr round 4 (radius: 5)
[15:34:27 -130079.626052] SLOW spr round 5 (radius: 5)
[15:35:46 -130079.624462] SLOW spr round 6 (radius: 10)
[15:37:09 -130077.411745] SLOW spr round 7 (radius: 5)
[15:38:45 -130077.409909] SLOW spr round 8 (radius: 10)
[15:40:14 -130077.409851] SLOW spr round 9 (radius: 15)
[15:42:04 -130077.289279] SLOW spr round 10 (radius: 5)
[15:43:45 -130077.288960] SLOW spr round 11 (radius: 10)
[15:45:17 -130077.288947] SLOW spr round 12 (radius: 15)
[15:47:06 -130077.288937] SLOW spr round 13 (radius: 20)
[15:49:43 -130077.288936] SLOW spr round 14 (radius: 25)
[15:53:11 -130077.288935] Model parameter optimization (eps = 0.100000)

[15:53:18] ML tree search #20, logLikelihood: -130077.133640


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.233920,0.669983) (0.143769,0.722526) (0.390768,0.834317) (0.231542,1.785315) 
   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: -130072.733168

AIC score: 264155.466336 / AICc score: 8308215.466336 / BIC score: 272789.548286
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!


WARNING: Best ML tree contains 239 near-zero branches!

Best ML tree with collapsed near-zero branches saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O14936/3_mltree/O14936.raxml.bestTreeCollapsed
Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O14936/3_mltree/O14936.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O14936/3_mltree/O14936.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O14936/3_mltree/O14936.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O14936/3_mltree/O14936.raxml.log

Analysis started: 04-Jul-2021 18:14:48 / finished: 05-Jul-2021 10:08:07

Elapsed time: 57199.044 seconds

Consumed energy: 5092.450 Wh (= 25 km in an electric car, or 127 km with an e-scooter!)