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 6258R CPU @ 2.70GHz, 56 cores, 187 GB RAM

RAxML-NG was called at 26-Jul-2021 00:10:20 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/A6PVY3/2_msa/A6PVY3_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/A6PVY3/3_mltree/A6PVY3 --seed 2 --threads 1 --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), NONE/sequential

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/A6PVY3/2_msa/A6PVY3_trimmed_msa.fasta
[00:00:00] Loaded alignment with 219 taxa and 35 sites

WARNING: Sequences tr_F1N8A6_F1N8A6_CHICK_9031 and tr_G1NIP4_G1NIP4_MELGA_9103 are exactly identical!
WARNING: Sequences tr_F1N8A6_F1N8A6_CHICK_9031 and tr_G1KWQ2_G1KWQ2_ANOCA_28377 are exactly identical!
WARNING: Sequences tr_F1N8A6_F1N8A6_CHICK_9031 and tr_H1A146_H1A146_TAEGU_59729 are exactly identical!
WARNING: Sequences tr_F1N8A6_F1N8A6_CHICK_9031 and tr_U3JU02_U3JU02_FICAL_59894 are exactly identical!
WARNING: Sequences tr_F1N8A6_F1N8A6_CHICK_9031 and tr_A0A151NKF3_A0A151NKF3_ALLMI_8496 are exactly identical!
WARNING: Sequences tr_F1N8A6_F1N8A6_CHICK_9031 and tr_A0A0Q3XAF6_A0A0Q3XAF6_AMAAE_12930 are exactly identical!
WARNING: Sequences tr_F1N8A6_F1N8A6_CHICK_9031 and tr_A0A091FR29_A0A091FR29_CORBR_85066 are exactly identical!
WARNING: Sequences tr_F1N8A6_F1N8A6_CHICK_9031 and tr_A0A091JPE6_A0A091JPE6_EGRGA_188379 are exactly identical!
WARNING: Sequences tr_F1N8A6_F1N8A6_CHICK_9031 and tr_A0A093SGQ2_A0A093SGQ2_9PASS_328815 are exactly identical!
WARNING: Sequences tr_F1N8A6_F1N8A6_CHICK_9031 and tr_A0A091UYU5_A0A091UYU5_NIPNI_128390 are exactly identical!
WARNING: Sequences tr_F1N8A6_F1N8A6_CHICK_9031 and tr_A0A087QMH2_A0A087QMH2_APTFO_9233 are exactly identical!
WARNING: Sequences tr_F1N8A6_F1N8A6_CHICK_9031 and tr_A0A093HC51_A0A093HC51_STRCA_441894 are exactly identical!
WARNING: Sequences tr_F1N8A6_F1N8A6_CHICK_9031 and tr_A0A091VFW7_A0A091VFW7_OPIHO_30419 are exactly identical!
WARNING: Sequences tr_F1N8A6_F1N8A6_CHICK_9031 and tr_A0A099Z675_A0A099Z675_TINGU_94827 are exactly identical!
WARNING: Sequences tr_F1N8A6_F1N8A6_CHICK_9031 and tr_A0A091G8D4_A0A091G8D4_9AVES_55661 are exactly identical!
WARNING: Sequences tr_F1N8A6_F1N8A6_CHICK_9031 and tr_A0A0A0AK59_A0A0A0AK59_CHAVO_50402 are exactly identical!
WARNING: Sequences tr_F1N8A6_F1N8A6_CHICK_9031 and tr_A0A2I0MPW5_A0A2I0MPW5_COLLI_8932 are exactly identical!
WARNING: Sequences tr_F1N8A6_F1N8A6_CHICK_9031 and tr_A0A093GJ14_A0A093GJ14_DRYPU_118200 are exactly identical!
WARNING: Sequences tr_F1N8A6_F1N8A6_CHICK_9031 and tr_A0A091HMQ7_A0A091HMQ7_CALAN_9244 are exactly identical!
WARNING: Sequences tr_F1N8A6_F1N8A6_CHICK_9031 and tr_A0A3Q0GCN1_A0A3Q0GCN1_ALLSI_38654 are exactly identical!
WARNING: Sequences tr_F1N8A6_F1N8A6_CHICK_9031 and tr_A0A1V4KFC7_A0A1V4KFC7_PATFA_372326 are exactly identical!
WARNING: Sequences tr_F1N8A6_F1N8A6_CHICK_9031 and tr_A0A218VEN1_A0A218VEN1_9PASE_299123 are exactly identical!
WARNING: Sequences tr_F1N8A6_F1N8A6_CHICK_9031 and tr_A0A226MDC1_A0A226MDC1_CALSU_9009 are exactly identical!
WARNING: Sequences tr_F1N8A6_F1N8A6_CHICK_9031 and tr_A0A226PWR1_A0A226PWR1_COLVI_9014 are exactly identical!
WARNING: Sequences sp_Q8BR63_F177A_MOUSE_10090 and tr_M3YXY1_M3YXY1_MUSPF_9669 are exactly identical!
WARNING: Sequences sp_Q8BR63_F177A_MOUSE_10090 and tr_G1PFD8_G1PFD8_MYOLU_59463 are exactly identical!
WARNING: Sequences sp_Q8BR63_F177A_MOUSE_10090 and tr_G1SPL3_G1SPL3_RABIT_9986 are exactly identical!
WARNING: Sequences sp_Q8BR63_F177A_MOUSE_10090 and tr_E2RD87_E2RD87_CANLF_9615 are exactly identical!
WARNING: Sequences sp_Q8BR63_F177A_MOUSE_10090 and tr_W5PBB1_W5PBB1_SHEEP_9940 are exactly identical!
WARNING: Sequences sp_Q8BR63_F177A_MOUSE_10090 and tr_I3MQS7_I3MQS7_ICTTR_43179 are exactly identical!
WARNING: Sequences sp_Q8BR63_F177A_MOUSE_10090 and tr_H0WYK8_H0WYK8_OTOGA_30611 are exactly identical!
WARNING: Sequences sp_Q8BR63_F177A_MOUSE_10090 and sp_Q8N128_F177A_HUMAN_9606 are exactly identical!
WARNING: Sequences sp_Q8BR63_F177A_MOUSE_10090 and tr_G5B114_G5B114_HETGA_10181 are exactly identical!
WARNING: Sequences sp_Q8BR63_F177A_MOUSE_10090 and tr_G3TN64_G3TN64_LOXAF_9785 are exactly identical!
WARNING: Sequences sp_Q8BR63_F177A_MOUSE_10090 and tr_A0A287AMV6_A0A287AMV6_PIG_9823 are exactly identical!
WARNING: Sequences sp_Q8BR63_F177A_MOUSE_10090 and tr_G1MAQ7_G1MAQ7_AILME_9646 are exactly identical!
WARNING: Sequences sp_Q8BR63_F177A_MOUSE_10090 and tr_G7PA29_G7PA29_MACFA_9541 are exactly identical!
WARNING: Sequences sp_Q8BR63_F177A_MOUSE_10090 and sp_A6QLZ5_F177A_BOVIN_9913 are exactly identical!
WARNING: Sequences sp_Q8BR63_F177A_MOUSE_10090 and tr_A0A337SJU3_A0A337SJU3_FELCA_9685 are exactly identical!
WARNING: Sequences sp_Q8BR63_F177A_MOUSE_10090 and tr_A0A091E2K9_A0A091E2K9_FUKDA_885580 are exactly identical!
WARNING: Sequences sp_Q8BR63_F177A_MOUSE_10090 and tr_A0A0D9RSR8_A0A0D9RSR8_CHLSB_60711 are exactly identical!
WARNING: Sequences sp_Q8BR63_F177A_MOUSE_10090 and tr_A0A1S3ETQ6_A0A1S3ETQ6_DIPOR_10020 are exactly identical!
WARNING: Sequences sp_Q8BR63_F177A_MOUSE_10090 and tr_A0A2U4AF43_A0A2U4AF43_TURTR_9739 are exactly identical!
WARNING: Sequences sp_Q8BR63_F177A_MOUSE_10090 and tr_A0A2U4AF57_A0A2U4AF57_TURTR_9739 are exactly identical!
WARNING: Sequences sp_Q8BR63_F177A_MOUSE_10090 and tr_A0A2U4AFK7_A0A2U4AFK7_TURTR_9739 are exactly identical!
WARNING: Sequences sp_Q8BR63_F177A_MOUSE_10090 and tr_A0A2U3VWJ9_A0A2U3VWJ9_ODORO_9708 are exactly identical!
WARNING: Sequences sp_Q8BR63_F177A_MOUSE_10090 and tr_A0A2U3XLE5_A0A2U3XLE5_LEPWE_9713 are exactly identical!
WARNING: Sequences sp_Q8BR63_F177A_MOUSE_10090 and tr_A0A2Y9DL64_A0A2Y9DL64_TRIMA_127582 are exactly identical!
WARNING: Sequences sp_Q8BR63_F177A_MOUSE_10090 and tr_A0A2Y9L8B3_A0A2Y9L8B3_ENHLU_391180 are exactly identical!
WARNING: Sequences sp_Q8BR63_F177A_MOUSE_10090 and tr_A0A2Y9NB30_A0A2Y9NB30_DELLE_9749 are exactly identical!
WARNING: Sequences sp_Q8BR63_F177A_MOUSE_10090 and tr_A0A2Y9EZP7_A0A2Y9EZP7_PHYCD_9755 are exactly identical!
WARNING: Sequences sp_Q8BR63_F177A_MOUSE_10090 and tr_A0A384CD92_A0A384CD92_URSMA_29073 are exactly identical!
WARNING: Sequences sp_Q8BR63_F177A_MOUSE_10090 and tr_A0A384A0A5_A0A384A0A5_BALAS_310752 are exactly identical!
WARNING: Sequences tr_H2MMD9_H2MMD9_ORYLA_8090 and tr_A0A3B5RB37_A0A3B5RB37_XIPMA_8083 are exactly identical!
WARNING: Sequences tr_H2MMD9_H2MMD9_ORYLA_8090 and tr_I3IY07_I3IY07_ORENI_8128 are exactly identical!
WARNING: Sequences tr_H2MMD9_H2MMD9_ORYLA_8090 and tr_A0A087Y266_A0A087Y266_POEFO_48698 are exactly identical!
WARNING: Sequences tr_H2MMD9_H2MMD9_ORYLA_8090 and tr_A0A2I4AL41_A0A2I4AL41_9TELE_52670 are exactly identical!
WARNING: Sequences tr_H2MMD9_H2MMD9_ORYLA_8090 and tr_A0A2I4C8Q4_A0A2I4C8Q4_9TELE_52670 are exactly identical!
WARNING: Sequences tr_H2MMD9_H2MMD9_ORYLA_8090 and tr_A0A2U9CSZ8_A0A2U9CSZ8_SCOMX_52904 are exactly identical!
WARNING: Sequences tr_M3ZA05_M3ZA05_NOMLE_61853 and tr_A0A1D5QF89_A0A1D5QF89_MACMU_9544 are exactly identical!
WARNING: Sequences tr_M3ZA05_M3ZA05_NOMLE_61853 and tr_H0ZNZ4_H0ZNZ4_TAEGU_59729 are exactly identical!
WARNING: Sequences tr_M3ZA05_M3ZA05_NOMLE_61853 and tr_F7GMY3_F7GMY3_CALJA_9483 are exactly identical!
WARNING: Sequences tr_M3ZA05_M3ZA05_NOMLE_61853 and tr_U3IRN0_U3IRN0_ANAPL_8839 are exactly identical!
WARNING: Sequences tr_M3ZA05_M3ZA05_NOMLE_61853 and tr_A0A2I3NHF6_A0A2I3NHF6_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_M3ZA05_M3ZA05_NOMLE_61853 and tr_A0A2K5M6E1_A0A2K5M6E1_CERAT_9531 are exactly identical!
WARNING: Sequences tr_M3ZA05_M3ZA05_NOMLE_61853 and tr_A0A2K6AR01_A0A2K6AR01_MACNE_9545 are exactly identical!
WARNING: Sequences tr_M3ZA05_M3ZA05_NOMLE_61853 and tr_A0A2K6A873_A0A2K6A873_MANLE_9568 are exactly identical!
WARNING: Sequences tr_G3IGB1_G3IGB1_CRIGR_10029 and tr_A0A1U7QK10_A0A1U7QK10_MESAU_10036 are exactly identical!
WARNING: Sequences tr_H2N3M5_H2N3M5_PONAB_9601 and tr_H2R1E7_H2R1E7_PANTR_9598 are exactly identical!
WARNING: Sequences tr_H2N3M5_H2N3M5_PONAB_9601 and sp_A6PVY3_F177B_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_H2N3M5_H2N3M5_PONAB_9601 and tr_F6V538_F6V538_MACMU_9544 are exactly identical!
WARNING: Sequences tr_H2N3M5_H2N3M5_PONAB_9601 and tr_F7IAC9_F7IAC9_CALJA_9483 are exactly identical!
WARNING: Sequences tr_H2N3M5_H2N3M5_PONAB_9601 and tr_G7NTX4_G7NTX4_MACFA_9541 are exactly identical!
WARNING: Sequences tr_H2N3M5_H2N3M5_PONAB_9601 and tr_A0A096N7V5_A0A096N7V5_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_H2N3M5_H2N3M5_PONAB_9601 and tr_A0A0D9RTX9_A0A0D9RTX9_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_H2N3M5_H2N3M5_PONAB_9601 and tr_A0A2K5MWR1_A0A2K5MWR1_CERAT_9531 are exactly identical!
WARNING: Sequences tr_H2N3M5_H2N3M5_PONAB_9601 and tr_A0A2K6CDU9_A0A2K6CDU9_MACNE_9545 are exactly identical!
WARNING: Sequences tr_H2N3M5_H2N3M5_PONAB_9601 and tr_A0A2K5YQE1_A0A2K5YQE1_MANLE_9568 are exactly identical!
WARNING: Sequences tr_H2N3M5_H2N3M5_PONAB_9601 and tr_A0A2R9CFX6_A0A2R9CFX6_PANPA_9597 are exactly identical!
WARNING: Sequences tr_E2RFU0_E2RFU0_CANLF_9615 and tr_A0A2U3WI32_A0A2U3WI32_ODORO_9708 are exactly identical!
WARNING: Sequences tr_E2RFU0_E2RFU0_CANLF_9615 and tr_A0A2U3YH47_A0A2U3YH47_LEPWE_9713 are exactly identical!
WARNING: Sequences tr_B0WZK3_B0WZK3_CULQU_7176 and tr_Q17H54_Q17H54_AEDAE_7159 are exactly identical!
WARNING: Sequences tr_M4A4J1_M4A4J1_XIPMA_8083 and tr_A0A087Y6I9_A0A087Y6I9_POEFO_48698 are exactly identical!
WARNING: Sequences tr_M4A4J1_M4A4J1_XIPMA_8083 and tr_A0A2I4D2U5_A0A2I4D2U5_9TELE_52670 are exactly identical!
WARNING: Sequences tr_A0A158NVA3_A0A158NVA3_ATTCE_12957 and tr_F4X2K8_F4X2K8_ACREC_103372 are exactly identical!
WARNING: Sequences tr_A0A158NVA3_A0A158NVA3_ATTCE_12957 and tr_A0A151WFT5_A0A151WFT5_9HYME_64791 are exactly identical!
WARNING: Sequences tr_A0A158NVA3_A0A158NVA3_ATTCE_12957 and tr_A0A195DRQ1_A0A195DRQ1_9HYME_471704 are exactly identical!
WARNING: Sequences tr_A0A158NVA3_A0A158NVA3_ATTCE_12957 and tr_A0A195BS76_A0A195BS76_9HYME_520822 are exactly identical!
WARNING: Sequences tr_A0A158NVA3_A0A158NVA3_ATTCE_12957 and tr_A0A195FXP5_A0A195FXP5_9HYME_34720 are exactly identical!
WARNING: Sequences tr_A0A158NVA3_A0A158NVA3_ATTCE_12957 and tr_A0A151IBE1_A0A151IBE1_9HYME_456900 are exactly identical!
WARNING: Sequences tr_H2SL08_H2SL08_TAKRU_31033 and tr_H3CWF7_H3CWF7_TETNG_99883 are exactly identical!
WARNING: Sequences tr_A0A286XR80_A0A286XR80_CAVPO_10141 and tr_L5KI17_L5KI17_PTEAL_9402 are exactly identical!
WARNING: Sequences tr_G3NMR3_G3NMR3_GASAC_69293 and tr_A0A1S3M945_A0A1S3M945_SALSA_8030 are exactly identical!
WARNING: Sequences tr_G3NMR3_G3NMR3_GASAC_69293 and tr_A0A060XLF3_A0A060XLF3_ONCMY_8022 are exactly identical!
WARNING: Sequences tr_B3RYV8_B3RYV8_TRIAD_10228 and tr_A0A369SE80_A0A369SE80_9METZ_287889 are exactly identical!
WARNING: Sequences tr_R7UHJ4_R7UHJ4_CAPTE_283909 and tr_R7VCF9_R7VCF9_CAPTE_283909 are exactly identical!
WARNING: Sequences tr_A0A151P3B8_A0A151P3B8_ALLMI_8496 and tr_A0A1U7RU09_A0A1U7RU09_ALLSI_38654 are exactly identical!
WARNING: Sequences tr_A0A194QST0_A0A194QST0_PAPMA_76193 and tr_A0A194PCF3_A0A194PCF3_PAPXU_66420 are exactly identical!
WARNING: Sequences tr_A0A1S3HM54_A0A1S3HM54_LINUN_7574 and tr_A0A2R2MPY3_A0A2R2MPY3_LINUN_7574 are exactly identical!
WARNING: Sequences tr_A0A1S3P0L4_A0A1S3P0L4_SALSA_8030 and tr_A0A1S3R8C9_A0A1S3R8C9_SALSA_8030 are exactly identical!
WARNING: Sequences tr_A0A1S3P0L4_A0A1S3P0L4_SALSA_8030 and tr_A0A060WBV2_A0A060WBV2_ONCMY_8022 are exactly identical!
WARNING: Sequences tr_A0A1S3SQJ7_A0A1S3SQJ7_SALSA_8030 and tr_A0A060WTE8_A0A060WTE8_ONCMY_8022 are exactly identical!
WARNING: Sequences tr_A0A1L8EZR0_A0A1L8EZR0_XENLA_8355 and tr_Q6DD80_Q6DD80_XENLA_8355 are exactly identical!
WARNING: Sequences tr_A0A2U4A4E6_A0A2U4A4E6_TURTR_9739 and tr_A0A2Y9NUY3_A0A2Y9NUY3_DELLE_9749 are exactly identical!
WARNING: Duplicate sequences found: 104

NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) 
NOTE: was saved to: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/A6PVY3/3_mltree/A6PVY3.raxml.reduced.phy

Alignment comprises 1 partitions and 35 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 35 / 35
Gaps: 0.57 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/A6PVY3/3_mltree/A6PVY3.raxml.rba

Parallelization scheme autoconfig: 1 worker(s) x 1 thread(s)

Parallel reduction/worker buffer size: 1 KB  / 0 KB

[00:00:00] Generating 20 random starting tree(s) with 219 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 35 / 2800
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -9606.042265] Initial branch length optimization
[00:00:00 -7490.657127] Model parameter optimization (eps = 10.000000)
[00:00:05 -7401.282864] AUTODETECT spr round 1 (radius: 5)
[00:00:11 -4958.470330] AUTODETECT spr round 2 (radius: 10)
[00:00:20 -3732.763062] AUTODETECT spr round 3 (radius: 15)
[00:00:30 -3109.537138] AUTODETECT spr round 4 (radius: 20)
[00:00:40 -3002.310238] AUTODETECT spr round 5 (radius: 25)
[00:00:51 -2975.326809] SPR radius for FAST iterations: 25 (autodetect)
[00:00:51 -2975.326809] Model parameter optimization (eps = 3.000000)
[00:00:57 -2964.928102] FAST spr round 1 (radius: 25)
[00:01:05 -2780.785678] FAST spr round 2 (radius: 25)
[00:01:13 -2729.433912] FAST spr round 3 (radius: 25)
[00:01:21 -2714.397560] FAST spr round 4 (radius: 25)
[00:01:28 -2714.290848] FAST spr round 5 (radius: 25)
[00:01:36 -2714.290514] Model parameter optimization (eps = 1.000000)
[00:01:38 -2713.922112] SLOW spr round 1 (radius: 5)
[00:01:47 -2713.760987] SLOW spr round 2 (radius: 5)
[00:01:56 -2713.760812] SLOW spr round 3 (radius: 10)
[00:02:06 -2704.946442] SLOW spr round 4 (radius: 5)
[00:02:18 -2704.341270] SLOW spr round 5 (radius: 5)
[00:02:27 -2703.762503] SLOW spr round 6 (radius: 5)
[00:02:37 -2699.684682] SLOW spr round 7 (radius: 5)
[00:02:45 -2699.372848] SLOW spr round 8 (radius: 5)
[00:02:53 -2699.372845] SLOW spr round 9 (radius: 10)
[00:03:03 -2698.988271] SLOW spr round 10 (radius: 5)
[00:03:14 -2698.988269] SLOW spr round 11 (radius: 10)
[00:03:24 -2692.549077] SLOW spr round 12 (radius: 5)
[00:03:34 -2692.549075] SLOW spr round 13 (radius: 10)
[00:03:44 -2692.549075] SLOW spr round 14 (radius: 15)
[00:03:57 -2692.549075] SLOW spr round 15 (radius: 20)
[00:04:10 -2692.549075] SLOW spr round 16 (radius: 25)
[00:04:23 -2692.549075] Model parameter optimization (eps = 0.100000)

[00:04:25] ML tree search #1, logLikelihood: -2692.377134

[00:04:25 -9696.827466] Initial branch length optimization
[00:04:25 -7514.643942] Model parameter optimization (eps = 10.000000)
[00:04:33 -7390.211418] AUTODETECT spr round 1 (radius: 5)
[00:04:39 -5021.298973] AUTODETECT spr round 2 (radius: 10)
[00:04:47 -3915.124714] AUTODETECT spr round 3 (radius: 15)
[00:04:57 -3229.365995] AUTODETECT spr round 4 (radius: 20)
[00:05:09 -3125.956524] AUTODETECT spr round 5 (radius: 25)
[00:05:21 -3097.463858] SPR radius for FAST iterations: 25 (autodetect)
[00:05:21 -3097.463858] Model parameter optimization (eps = 3.000000)
[00:05:25 -3085.672205] FAST spr round 1 (radius: 25)
[00:05:35 -2743.028077] FAST spr round 2 (radius: 25)
[00:05:43 -2674.483551] FAST spr round 3 (radius: 25)
[00:05:51 -2671.235197] FAST spr round 4 (radius: 25)
[00:05:58 -2671.234057] Model parameter optimization (eps = 1.000000)
[00:06:02 -2668.870845] SLOW spr round 1 (radius: 5)
[00:06:12 -2666.376957] SLOW spr round 2 (radius: 5)
[00:06:21 -2666.302763] SLOW spr round 3 (radius: 10)
[00:06:31 -2662.382207] SLOW spr round 4 (radius: 5)
[00:06:42 -2657.273412] SLOW spr round 5 (radius: 5)
[00:06:51 -2657.273311] SLOW spr round 6 (radius: 10)
[00:07:01 -2657.273286] SLOW spr round 7 (radius: 15)
[00:07:14 -2652.233050] SLOW spr round 8 (radius: 5)
[00:07:26 -2652.233024] SLOW spr round 9 (radius: 10)
[00:07:36 -2652.233023] SLOW spr round 10 (radius: 15)
[00:07:49 -2652.233023] SLOW spr round 11 (radius: 20)
[00:08:02 -2650.425808] SLOW spr round 12 (radius: 5)
[00:08:15 -2650.128128] SLOW spr round 13 (radius: 5)
[00:08:25 -2650.128127] SLOW spr round 14 (radius: 10)
[00:08:35 -2650.128115] SLOW spr round 15 (radius: 15)
[00:08:48 -2650.128115] SLOW spr round 16 (radius: 20)
[00:09:01 -2650.128115] SLOW spr round 17 (radius: 25)
[00:09:14 -2650.128115] Model parameter optimization (eps = 0.100000)

[00:09:17] ML tree search #2, logLikelihood: -2649.838112

[00:09:17 -9587.913824] Initial branch length optimization
[00:09:17 -7515.371764] Model parameter optimization (eps = 10.000000)
[00:09:21 -7421.324246] AUTODETECT spr round 1 (radius: 5)
[00:09:28 -4995.704276] AUTODETECT spr round 2 (radius: 10)
[00:09:36 -3903.137344] AUTODETECT spr round 3 (radius: 15)
[00:09:46 -3121.849473] AUTODETECT spr round 4 (radius: 20)
[00:09:56 -2950.652364] AUTODETECT spr round 5 (radius: 25)
[00:10:07 -2935.360552] SPR radius for FAST iterations: 25 (autodetect)
[00:10:07 -2935.360552] Model parameter optimization (eps = 3.000000)
[00:10:10 -2922.922043] FAST spr round 1 (radius: 25)
[00:10:19 -2702.857367] FAST spr round 2 (radius: 25)
[00:10:26 -2701.293437] FAST spr round 3 (radius: 25)
[00:10:33 -2701.293096] Model parameter optimization (eps = 1.000000)
[00:10:36 -2700.554954] SLOW spr round 1 (radius: 5)
[00:10:45 -2700.405637] SLOW spr round 2 (radius: 5)
[00:10:53 -2700.404180] SLOW spr round 3 (radius: 10)
[00:11:04 -2681.935908] SLOW spr round 4 (radius: 5)
[00:11:16 -2674.968256] SLOW spr round 5 (radius: 5)
[00:11:25 -2673.247353] SLOW spr round 6 (radius: 5)
[00:11:34 -2673.246999] SLOW spr round 7 (radius: 10)
[00:11:44 -2672.784068] SLOW spr round 8 (radius: 5)
[00:11:55 -2671.914171] SLOW spr round 9 (radius: 5)
[00:12:05 -2671.710654] SLOW spr round 10 (radius: 5)
[00:12:13 -2671.338901] SLOW spr round 11 (radius: 5)
[00:12:22 -2671.338901] SLOW spr round 12 (radius: 10)
[00:12:32 -2671.338896] SLOW spr round 13 (radius: 15)
[00:12:45 -2659.514631] SLOW spr round 14 (radius: 5)
[00:12:57 -2658.387728] SLOW spr round 15 (radius: 5)
[00:13:07 -2658.387708] SLOW spr round 16 (radius: 10)
[00:13:17 -2658.387708] SLOW spr round 17 (radius: 15)
[00:13:30 -2658.261731] SLOW spr round 18 (radius: 5)
[00:13:42 -2658.261695] SLOW spr round 19 (radius: 10)
[00:13:52 -2658.261695] SLOW spr round 20 (radius: 15)
[00:14:04 -2658.261695] SLOW spr round 21 (radius: 20)
[00:14:17 -2658.261695] SLOW spr round 22 (radius: 25)
[00:14:32 -2658.261695] Model parameter optimization (eps = 0.100000)

[00:14:33] ML tree search #3, logLikelihood: -2658.219644

[00:14:33 -9541.800643] Initial branch length optimization
[00:14:33 -7422.154587] Model parameter optimization (eps = 10.000000)
[00:14:45 -7312.668192] AUTODETECT spr round 1 (radius: 5)
[00:14:52 -4858.249792] AUTODETECT spr round 2 (radius: 10)
[00:15:00 -3936.980438] AUTODETECT spr round 3 (radius: 15)
[00:15:11 -3092.250384] AUTODETECT spr round 4 (radius: 20)
[00:15:22 -2996.362764] AUTODETECT spr round 5 (radius: 25)
[00:15:33 -2996.362391] SPR radius for FAST iterations: 20 (autodetect)
[00:15:33 -2996.362391] Model parameter optimization (eps = 3.000000)
[00:15:38 -2978.921052] FAST spr round 1 (radius: 20)
[00:15:46 -2761.046856] FAST spr round 2 (radius: 20)
[00:15:55 -2725.091464] FAST spr round 3 (radius: 20)
[00:16:02 -2700.123034] FAST spr round 4 (radius: 20)
[00:16:09 -2700.121775] Model parameter optimization (eps = 1.000000)
[00:16:13 -2699.713541] SLOW spr round 1 (radius: 5)
[00:16:22 -2698.978494] SLOW spr round 2 (radius: 5)
[00:16:30 -2698.978491] SLOW spr round 3 (radius: 10)
[00:16:40 -2688.928852] SLOW spr round 4 (radius: 5)
[00:16:51 -2688.771675] SLOW spr round 5 (radius: 5)
[00:17:01 -2688.771473] SLOW spr round 6 (radius: 10)
[00:17:11 -2687.287441] SLOW spr round 7 (radius: 5)
[00:17:22 -2687.149587] SLOW spr round 8 (radius: 5)
[00:17:31 -2687.149441] SLOW spr round 9 (radius: 10)
[00:17:41 -2687.149441] SLOW spr round 10 (radius: 15)
[00:17:52 -2684.008657] SLOW spr round 11 (radius: 5)
[00:18:06 -2658.741436] SLOW spr round 12 (radius: 5)
[00:18:16 -2658.741223] SLOW spr round 13 (radius: 10)
[00:18:25 -2658.741215] SLOW spr round 14 (radius: 15)
[00:18:37 -2658.741215] SLOW spr round 15 (radius: 20)
[00:18:49 -2658.741213] SLOW spr round 16 (radius: 25)
[00:19:01 -2658.741213] Model parameter optimization (eps = 0.100000)

[00:19:06] ML tree search #4, logLikelihood: -2658.634781

[00:19:06 -9524.570961] Initial branch length optimization
[00:19:06 -7452.215294] Model parameter optimization (eps = 10.000000)
[00:19:13 -7347.560983] AUTODETECT spr round 1 (radius: 5)
[00:19:20 -5132.438590] AUTODETECT spr round 2 (radius: 10)
[00:19:29 -3836.796308] AUTODETECT spr round 3 (radius: 15)
[00:19:40 -3129.111318] AUTODETECT spr round 4 (radius: 20)
[00:19:52 -2983.551422] AUTODETECT spr round 5 (radius: 25)
[00:20:03 -2959.741117] SPR radius for FAST iterations: 25 (autodetect)
[00:20:03 -2959.741117] Model parameter optimization (eps = 3.000000)
[00:20:15 -2942.234152] FAST spr round 1 (radius: 25)
[00:20:24 -2716.912222] FAST spr round 2 (radius: 25)
[00:20:33 -2695.780214] FAST spr round 3 (radius: 25)
[00:20:40 -2695.554971] FAST spr round 4 (radius: 25)
[00:20:47 -2695.554949] Model parameter optimization (eps = 1.000000)
[00:20:51 -2694.873568] SLOW spr round 1 (radius: 5)
[00:21:00 -2694.115949] SLOW spr round 2 (radius: 5)
[00:21:09 -2694.115633] SLOW spr round 3 (radius: 10)
[00:21:19 -2685.971423] SLOW spr round 4 (radius: 5)
[00:21:30 -2683.251701] SLOW spr round 5 (radius: 5)
[00:21:39 -2683.250991] SLOW spr round 6 (radius: 10)
[00:21:49 -2683.250971] SLOW spr round 7 (radius: 15)
[00:22:02 -2666.311910] SLOW spr round 8 (radius: 5)
[00:22:14 -2663.700438] SLOW spr round 9 (radius: 5)
[00:22:24 -2663.700407] SLOW spr round 10 (radius: 10)
[00:22:33 -2663.644832] SLOW spr round 11 (radius: 15)
[00:22:46 -2663.644831] SLOW spr round 12 (radius: 20)
[00:22:58 -2662.983627] SLOW spr round 13 (radius: 5)
[00:23:11 -2662.933262] SLOW spr round 14 (radius: 10)
[00:23:22 -2661.735633] SLOW spr round 15 (radius: 5)
[00:23:33 -2661.735601] SLOW spr round 16 (radius: 10)
[00:23:42 -2661.735599] SLOW spr round 17 (radius: 15)
[00:23:54 -2661.735599] SLOW spr round 18 (radius: 20)
[00:24:07 -2661.735599] SLOW spr round 19 (radius: 25)
[00:24:20 -2656.151838] SLOW spr round 20 (radius: 5)
[00:24:33 -2656.151830] SLOW spr round 21 (radius: 10)
[00:24:44 -2656.151830] SLOW spr round 22 (radius: 15)
[00:24:56 -2656.151830] SLOW spr round 23 (radius: 20)
[00:25:09 -2656.151830] SLOW spr round 24 (radius: 25)
[00:25:22 -2656.151830] Model parameter optimization (eps = 0.100000)

[00:25:25] ML tree search #5, logLikelihood: -2655.946901

[00:25:26 -9670.036462] Initial branch length optimization
[00:25:26 -7564.433639] Model parameter optimization (eps = 10.000000)
[00:25:30 -7475.811160] AUTODETECT spr round 1 (radius: 5)
[00:25:37 -4860.171515] AUTODETECT spr round 2 (radius: 10)
[00:25:45 -4010.155557] AUTODETECT spr round 3 (radius: 15)
[00:25:55 -3549.875969] AUTODETECT spr round 4 (radius: 20)
[00:26:05 -3128.578403] AUTODETECT spr round 5 (radius: 25)
[00:26:17 -3071.029816] SPR radius for FAST iterations: 25 (autodetect)
[00:26:17 -3071.029816] Model parameter optimization (eps = 3.000000)
[00:26:24 -3054.769272] FAST spr round 1 (radius: 25)
[00:26:32 -2727.966840] FAST spr round 2 (radius: 25)
[00:26:41 -2675.492873] FAST spr round 3 (radius: 25)
[00:26:48 -2671.799554] FAST spr round 4 (radius: 25)
[00:26:55 -2671.799199] Model parameter optimization (eps = 1.000000)
[00:27:00 -2670.272975] SLOW spr round 1 (radius: 5)
[00:27:09 -2669.168685] SLOW spr round 2 (radius: 5)
[00:27:18 -2669.168464] SLOW spr round 3 (radius: 10)
[00:27:27 -2669.168435] SLOW spr round 4 (radius: 15)
[00:27:40 -2663.223793] SLOW spr round 5 (radius: 5)
[00:27:53 -2662.812812] SLOW spr round 6 (radius: 5)
[00:28:03 -2661.657464] SLOW spr round 7 (radius: 5)
[00:28:12 -2661.349949] SLOW spr round 8 (radius: 5)
[00:28:20 -2661.349935] SLOW spr round 9 (radius: 10)
[00:28:29 -2661.349934] SLOW spr round 10 (radius: 15)
[00:28:42 -2661.349934] SLOW spr round 11 (radius: 20)
[00:28:53 -2661.349934] SLOW spr round 12 (radius: 25)
[00:29:07 -2659.521000] SLOW spr round 13 (radius: 5)
[00:29:20 -2658.206998] SLOW spr round 14 (radius: 5)
[00:29:31 -2658.206986] SLOW spr round 15 (radius: 10)
[00:29:40 -2658.206985] SLOW spr round 16 (radius: 15)
[00:29:53 -2658.206984] SLOW spr round 17 (radius: 20)
[00:30:04 -2658.206984] SLOW spr round 18 (radius: 25)
[00:30:18 -2658.206984] Model parameter optimization (eps = 0.100000)

[00:30:21] ML tree search #6, logLikelihood: -2658.070497

[00:30:21 -9623.004548] Initial branch length optimization
[00:30:21 -7491.361885] Model parameter optimization (eps = 10.000000)
[00:30:25 -7399.127746] AUTODETECT spr round 1 (radius: 5)
[00:30:32 -4941.970213] AUTODETECT spr round 2 (radius: 10)
[00:30:40 -3927.178476] AUTODETECT spr round 3 (radius: 15)
[00:30:50 -3459.738619] AUTODETECT spr round 4 (radius: 20)
[00:31:00 -3140.209377] AUTODETECT spr round 5 (radius: 25)
[00:31:11 -3110.047881] SPR radius for FAST iterations: 25 (autodetect)
[00:31:11 -3110.047881] Model parameter optimization (eps = 3.000000)
[00:31:22 -3093.902089] FAST spr round 1 (radius: 25)
[00:31:31 -2766.827492] FAST spr round 2 (radius: 25)
[00:31:39 -2751.360207] FAST spr round 3 (radius: 25)
[00:31:47 -2750.368992] FAST spr round 4 (radius: 25)
[00:31:54 -2750.368954] Model parameter optimization (eps = 1.000000)
[00:31:57 -2750.001598] SLOW spr round 1 (radius: 5)
[00:32:06 -2748.852785] SLOW spr round 2 (radius: 5)
[00:32:15 -2748.340157] SLOW spr round 3 (radius: 5)
[00:32:24 -2748.064749] SLOW spr round 4 (radius: 5)
[00:32:33 -2748.064735] SLOW spr round 5 (radius: 10)
[00:32:43 -2743.733023] SLOW spr round 6 (radius: 5)
[00:32:55 -2738.462636] SLOW spr round 7 (radius: 5)
[00:33:05 -2738.449258] SLOW spr round 8 (radius: 10)
[00:33:15 -2738.449232] SLOW spr round 9 (radius: 15)
[00:33:28 -2719.699541] SLOW spr round 10 (radius: 5)
[00:33:41 -2695.480602] SLOW spr round 11 (radius: 5)
[00:33:51 -2695.480294] SLOW spr round 12 (radius: 10)
[00:34:01 -2694.601064] SLOW spr round 13 (radius: 5)
[00:34:12 -2694.600935] SLOW spr round 14 (radius: 10)
[00:34:21 -2694.600926] SLOW spr round 15 (radius: 15)
[00:34:34 -2694.600922] SLOW spr round 16 (radius: 20)
[00:34:47 -2694.600921] SLOW spr round 17 (radius: 25)
[00:34:59 -2694.453142] SLOW spr round 18 (radius: 5)
[00:35:12 -2694.373204] SLOW spr round 19 (radius: 10)
[00:35:23 -2694.202721] SLOW spr round 20 (radius: 5)
[00:35:34 -2692.919475] SLOW spr round 21 (radius: 5)
[00:35:43 -2692.919464] SLOW spr round 22 (radius: 10)
[00:35:52 -2692.919458] SLOW spr round 23 (radius: 15)
[00:36:05 -2692.919456] SLOW spr round 24 (radius: 20)
[00:36:19 -2692.919455] SLOW spr round 25 (radius: 25)
[00:36:32 -2692.919454] Model parameter optimization (eps = 0.100000)

[00:36:35] ML tree search #7, logLikelihood: -2692.665185

[00:36:35 -9597.147540] Initial branch length optimization
[00:36:35 -7459.278258] Model parameter optimization (eps = 10.000000)
[00:36:40 -7370.420156] AUTODETECT spr round 1 (radius: 5)
[00:36:47 -5144.928743] AUTODETECT spr round 2 (radius: 10)
[00:36:55 -3988.131744] AUTODETECT spr round 3 (radius: 15)
[00:37:06 -3374.482356] AUTODETECT spr round 4 (radius: 20)
[00:37:16 -3125.054874] AUTODETECT spr round 5 (radius: 25)
[00:37:28 -3113.447492] SPR radius for FAST iterations: 25 (autodetect)
[00:37:28 -3113.447492] Model parameter optimization (eps = 3.000000)
[00:37:33 -3100.741107] FAST spr round 1 (radius: 25)
[00:37:41 -2795.707335] FAST spr round 2 (radius: 25)
[00:37:49 -2740.390380] FAST spr round 3 (radius: 25)
[00:37:57 -2732.413568] FAST spr round 4 (radius: 25)
[00:38:05 -2731.261981] FAST spr round 5 (radius: 25)
[00:38:12 -2731.261935] Model parameter optimization (eps = 1.000000)
[00:38:14 -2730.363797] SLOW spr round 1 (radius: 5)
[00:38:23 -2729.609871] SLOW spr round 2 (radius: 5)
[00:38:33 -2729.609646] SLOW spr round 3 (radius: 10)
[00:38:43 -2700.895862] SLOW spr round 4 (radius: 5)
[00:38:55 -2673.232620] SLOW spr round 5 (radius: 5)
[00:39:05 -2672.460015] SLOW spr round 6 (radius: 5)
[00:39:14 -2672.458424] SLOW spr round 7 (radius: 10)
[00:39:24 -2672.004997] SLOW spr round 8 (radius: 5)
[00:39:35 -2671.394332] SLOW spr round 9 (radius: 5)
[00:39:44 -2671.394329] SLOW spr round 10 (radius: 10)
[00:39:53 -2671.394326] SLOW spr round 11 (radius: 15)
[00:40:06 -2664.160002] SLOW spr round 12 (radius: 5)
[00:40:19 -2663.950074] SLOW spr round 13 (radius: 5)
[00:40:28 -2663.949659] SLOW spr round 14 (radius: 10)
[00:40:38 -2661.937931] SLOW spr round 15 (radius: 5)
[00:40:49 -2661.937914] SLOW spr round 16 (radius: 10)
[00:40:59 -2661.937913] SLOW spr round 17 (radius: 15)
[00:41:11 -2661.937913] SLOW spr round 18 (radius: 20)
[00:41:24 -2657.798014] SLOW spr round 19 (radius: 5)
[00:41:37 -2657.369043] SLOW spr round 20 (radius: 5)
[00:41:47 -2657.369036] SLOW spr round 21 (radius: 10)
[00:41:57 -2656.735751] SLOW spr round 22 (radius: 5)
[00:42:08 -2656.734488] SLOW spr round 23 (radius: 10)
[00:42:18 -2656.734428] SLOW spr round 24 (radius: 15)
[00:42:30 -2656.734427] SLOW spr round 25 (radius: 20)
[00:42:43 -2656.734427] SLOW spr round 26 (radius: 25)
[00:42:56 -2656.734427] Model parameter optimization (eps = 0.100000)

[00:42:57] ML tree search #8, logLikelihood: -2656.710607

[00:42:57 -9450.000586] Initial branch length optimization
[00:42:58 -7378.374190] Model parameter optimization (eps = 10.000000)
[00:43:03 -7284.547488] AUTODETECT spr round 1 (radius: 5)
[00:43:09 -5178.283687] AUTODETECT spr round 2 (radius: 10)
[00:43:18 -3735.153181] AUTODETECT spr round 3 (radius: 15)
[00:43:29 -2967.874853] AUTODETECT spr round 4 (radius: 20)
[00:43:39 -2958.881812] AUTODETECT spr round 5 (radius: 25)
[00:43:50 -2953.476736] SPR radius for FAST iterations: 25 (autodetect)
[00:43:50 -2953.476736] Model parameter optimization (eps = 3.000000)
[00:43:53 -2942.706773] FAST spr round 1 (radius: 25)
[00:44:03 -2703.413309] FAST spr round 2 (radius: 25)
[00:44:11 -2682.286812] FAST spr round 3 (radius: 25)
[00:44:19 -2680.572363] FAST spr round 4 (radius: 25)
[00:44:26 -2680.572115] Model parameter optimization (eps = 1.000000)
[00:44:29 -2680.250371] SLOW spr round 1 (radius: 5)
[00:44:38 -2680.250243] SLOW spr round 2 (radius: 10)
[00:44:47 -2674.092739] SLOW spr round 3 (radius: 5)
[00:44:59 -2671.832811] SLOW spr round 4 (radius: 5)
[00:45:08 -2671.832694] SLOW spr round 5 (radius: 10)
[00:45:17 -2670.638752] SLOW spr round 6 (radius: 5)
[00:45:29 -2669.611143] SLOW spr round 7 (radius: 5)
[00:45:38 -2669.610765] SLOW spr round 8 (radius: 10)
[00:45:47 -2669.610616] SLOW spr round 9 (radius: 15)
[00:45:58 -2668.896150] SLOW spr round 10 (radius: 5)
[00:46:11 -2668.896050] SLOW spr round 11 (radius: 10)
[00:46:21 -2668.896011] SLOW spr round 12 (radius: 15)
[00:46:32 -2667.611984] SLOW spr round 13 (radius: 5)
[00:46:44 -2666.504459] SLOW spr round 14 (radius: 5)
[00:46:54 -2666.504288] SLOW spr round 15 (radius: 10)
[00:47:03 -2666.504220] SLOW spr round 16 (radius: 15)
[00:47:14 -2666.504192] SLOW spr round 17 (radius: 20)
[00:47:26 -2666.504181] SLOW spr round 18 (radius: 25)
[00:47:38 -2666.504176] Model parameter optimization (eps = 0.100000)

[00:47:40] ML tree search #9, logLikelihood: -2666.461068

[00:47:40 -9479.930001] Initial branch length optimization
[00:47:40 -7413.789171] Model parameter optimization (eps = 10.000000)
[00:47:49 -7301.049798] AUTODETECT spr round 1 (radius: 5)
[00:47:56 -4773.012834] AUTODETECT spr round 2 (radius: 10)
[00:48:04 -3952.537013] AUTODETECT spr round 3 (radius: 15)
[00:48:14 -3490.011206] AUTODETECT spr round 4 (radius: 20)
[00:48:24 -3137.386592] AUTODETECT spr round 5 (radius: 25)
[00:48:34 -3040.323026] SPR radius for FAST iterations: 25 (autodetect)
[00:48:34 -3040.323026] Model parameter optimization (eps = 3.000000)
[00:48:40 -3023.850031] FAST spr round 1 (radius: 25)
[00:48:49 -2732.693709] FAST spr round 2 (radius: 25)
[00:48:57 -2708.380650] FAST spr round 3 (radius: 25)
[00:49:04 -2705.537395] FAST spr round 4 (radius: 25)
[00:49:11 -2705.536999] Model parameter optimization (eps = 1.000000)
[00:49:17 -2703.844131] SLOW spr round 1 (radius: 5)
[00:49:26 -2703.483784] SLOW spr round 2 (radius: 5)
[00:49:35 -2703.482341] SLOW spr round 3 (radius: 10)
[00:49:45 -2693.451946] SLOW spr round 4 (radius: 5)
[00:49:57 -2660.113881] SLOW spr round 5 (radius: 5)
[00:50:07 -2653.592226] SLOW spr round 6 (radius: 5)
[00:50:16 -2653.592205] SLOW spr round 7 (radius: 10)
[00:50:26 -2653.592202] SLOW spr round 8 (radius: 15)
[00:50:38 -2652.124743] SLOW spr round 9 (radius: 5)
[00:50:51 -2651.188237] SLOW spr round 10 (radius: 5)
[00:51:01 -2650.451789] SLOW spr round 11 (radius: 5)
[00:51:10 -2650.450955] SLOW spr round 12 (radius: 10)
[00:51:19 -2650.450953] SLOW spr round 13 (radius: 15)
[00:51:31 -2650.150356] SLOW spr round 14 (radius: 5)
[00:51:43 -2650.150321] SLOW spr round 15 (radius: 10)
[00:51:53 -2650.150321] SLOW spr round 16 (radius: 15)
[00:52:06 -2650.150321] SLOW spr round 17 (radius: 20)
[00:52:18 -2650.150321] SLOW spr round 18 (radius: 25)
[00:52:32 -2650.150321] Model parameter optimization (eps = 0.100000)

[00:52:35] ML tree search #10, logLikelihood: -2649.990120

[00:52:36 -9602.452294] Initial branch length optimization
[00:52:36 -7595.330907] Model parameter optimization (eps = 10.000000)
[00:52:41 -7485.730316] AUTODETECT spr round 1 (radius: 5)
[00:52:48 -4752.918444] AUTODETECT spr round 2 (radius: 10)
[00:52:56 -3947.407352] AUTODETECT spr round 3 (radius: 15)
[00:53:06 -3278.182332] AUTODETECT spr round 4 (radius: 20)
[00:53:16 -3143.414121] AUTODETECT spr round 5 (radius: 25)
[00:53:28 -3143.401140] SPR radius for FAST iterations: 20 (autodetect)
[00:53:28 -3143.401140] Model parameter optimization (eps = 3.000000)
[00:53:32 -3127.834826] FAST spr round 1 (radius: 20)
[00:53:40 -2735.260280] FAST spr round 2 (radius: 20)
[00:53:48 -2689.556425] FAST spr round 3 (radius: 20)
[00:53:56 -2685.127453] FAST spr round 4 (radius: 20)
[00:54:03 -2684.024259] FAST spr round 5 (radius: 20)
[00:54:10 -2684.024245] Model parameter optimization (eps = 1.000000)
[00:54:12 -2683.622943] SLOW spr round 1 (radius: 5)
[00:54:21 -2678.988818] SLOW spr round 2 (radius: 5)
[00:54:30 -2676.990372] SLOW spr round 3 (radius: 5)
[00:54:40 -2676.827729] SLOW spr round 4 (radius: 5)
[00:54:49 -2676.827693] SLOW spr round 5 (radius: 10)
[00:54:58 -2676.827685] SLOW spr round 6 (radius: 15)
[00:55:10 -2676.322301] SLOW spr round 7 (radius: 5)
[00:55:23 -2672.733363] SLOW spr round 8 (radius: 5)
[00:55:33 -2672.718358] SLOW spr round 9 (radius: 10)
[00:55:43 -2672.718245] SLOW spr round 10 (radius: 15)
[00:55:55 -2672.256035] SLOW spr round 11 (radius: 5)
[00:56:07 -2672.255998] SLOW spr round 12 (radius: 10)
[00:56:17 -2672.255993] SLOW spr round 13 (radius: 15)
[00:56:29 -2672.255992] SLOW spr round 14 (radius: 20)
[00:56:42 -2672.255992] SLOW spr round 15 (radius: 25)
[00:56:54 -2672.255992] Model parameter optimization (eps = 0.100000)

[00:56:55] ML tree search #11, logLikelihood: -2672.224571

[00:56:55 -9492.035120] Initial branch length optimization
[00:56:56 -7401.129775] Model parameter optimization (eps = 10.000000)
[00:57:02 -7311.467343] AUTODETECT spr round 1 (radius: 5)
[00:57:08 -5131.825895] AUTODETECT spr round 2 (radius: 10)
[00:57:17 -3852.903476] AUTODETECT spr round 3 (radius: 15)
[00:57:28 -3178.648915] AUTODETECT spr round 4 (radius: 20)
[00:57:40 -3119.867344] AUTODETECT spr round 5 (radius: 25)
[00:57:51 -3119.860637] SPR radius for FAST iterations: 20 (autodetect)
[00:57:51 -3119.860637] Model parameter optimization (eps = 3.000000)
[00:57:54 -3101.962994] FAST spr round 1 (radius: 20)
[00:58:03 -2732.140793] FAST spr round 2 (radius: 20)
[00:58:11 -2682.823954] FAST spr round 3 (radius: 20)
[00:58:19 -2675.916426] FAST spr round 4 (radius: 20)
[00:58:26 -2675.321911] FAST spr round 5 (radius: 20)
[00:58:33 -2673.019189] FAST spr round 6 (radius: 20)
[00:58:40 -2673.018771] Model parameter optimization (eps = 1.000000)
[00:58:42 -2672.390427] SLOW spr round 1 (radius: 5)
[00:58:51 -2671.527437] SLOW spr round 2 (radius: 5)
[00:59:00 -2666.191162] SLOW spr round 3 (radius: 5)
[00:59:08 -2666.191110] SLOW spr round 4 (radius: 10)
[00:59:17 -2664.279920] SLOW spr round 5 (radius: 5)
[00:59:29 -2664.279909] SLOW spr round 6 (radius: 10)
[00:59:38 -2661.202149] SLOW spr round 7 (radius: 5)
[00:59:49 -2661.202146] SLOW spr round 8 (radius: 10)
[00:59:58 -2661.202145] SLOW spr round 9 (radius: 15)
[01:00:11 -2660.085154] SLOW spr round 10 (radius: 5)
[01:00:23 -2660.085141] SLOW spr round 11 (radius: 10)
[01:00:33 -2660.085140] SLOW spr round 12 (radius: 15)
[01:00:46 -2660.085139] SLOW spr round 13 (radius: 20)
[01:00:59 -2660.085139] SLOW spr round 14 (radius: 25)
[01:01:13 -2660.085139] Model parameter optimization (eps = 0.100000)

[01:01:14] ML tree search #12, logLikelihood: -2660.055221

[01:01:14 -9505.761424] Initial branch length optimization
[01:01:14 -7416.675276] Model parameter optimization (eps = 10.000000)
[01:01:20 -7326.819584] AUTODETECT spr round 1 (radius: 5)
[01:01:26 -4673.169619] AUTODETECT spr round 2 (radius: 10)
[01:01:34 -3769.232768] AUTODETECT spr round 3 (radius: 15)
[01:01:44 -3343.518919] AUTODETECT spr round 4 (radius: 20)
[01:01:56 -3018.449060] AUTODETECT spr round 5 (radius: 25)
[01:02:07 -3018.436097] SPR radius for FAST iterations: 20 (autodetect)
[01:02:07 -3018.436097] Model parameter optimization (eps = 3.000000)
[01:02:12 -3002.265845] FAST spr round 1 (radius: 20)
[01:02:20 -2754.959596] FAST spr round 2 (radius: 20)
[01:02:28 -2725.276073] FAST spr round 3 (radius: 20)
[01:02:35 -2721.436773] FAST spr round 4 (radius: 20)
[01:02:42 -2721.436744] Model parameter optimization (eps = 1.000000)
[01:02:44 -2720.719324] SLOW spr round 1 (radius: 5)
[01:02:54 -2720.718867] SLOW spr round 2 (radius: 10)
[01:03:04 -2671.837770] SLOW spr round 3 (radius: 5)
[01:03:16 -2663.634558] SLOW spr round 4 (radius: 5)
[01:03:26 -2662.147950] SLOW spr round 5 (radius: 5)
[01:03:35 -2659.169216] SLOW spr round 6 (radius: 5)
[01:03:44 -2659.113983] SLOW spr round 7 (radius: 10)
[01:03:53 -2659.112535] SLOW spr round 8 (radius: 15)
[01:04:06 -2659.111686] SLOW spr round 9 (radius: 20)
[01:04:19 -2659.111208] SLOW spr round 10 (radius: 25)
[01:04:33 -2659.110940] Model parameter optimization (eps = 0.100000)

[01:04:36] ML tree search #13, logLikelihood: -2658.733668

[01:04:36 -9498.981673] Initial branch length optimization
[01:04:36 -7384.252411] Model parameter optimization (eps = 10.000000)
[01:04:42 -7294.491753] AUTODETECT spr round 1 (radius: 5)
[01:04:48 -5120.470862] AUTODETECT spr round 2 (radius: 10)
[01:04:57 -3935.320948] AUTODETECT spr round 3 (radius: 15)
[01:05:08 -3388.953096] AUTODETECT spr round 4 (radius: 20)
[01:05:20 -3099.820819] AUTODETECT spr round 5 (radius: 25)
[01:05:31 -3088.192844] SPR radius for FAST iterations: 25 (autodetect)
[01:05:31 -3088.192844] Model parameter optimization (eps = 3.000000)
[01:05:39 -3064.360829] FAST spr round 1 (radius: 25)
[01:05:47 -2798.228726] FAST spr round 2 (radius: 25)
[01:05:55 -2770.469789] FAST spr round 3 (radius: 25)
[01:06:02 -2768.266764] FAST spr round 4 (radius: 25)
[01:06:09 -2768.266037] Model parameter optimization (eps = 1.000000)
[01:06:13 -2767.820947] SLOW spr round 1 (radius: 5)
[01:06:22 -2767.236578] SLOW spr round 2 (radius: 5)
[01:06:31 -2764.705083] SLOW spr round 3 (radius: 5)
[01:06:39 -2764.704862] SLOW spr round 4 (radius: 10)
[01:06:48 -2764.704840] SLOW spr round 5 (radius: 15)
[01:07:02 -2667.952207] SLOW spr round 6 (radius: 5)
[01:07:15 -2663.755945] SLOW spr round 7 (radius: 5)
[01:07:25 -2662.089511] SLOW spr round 8 (radius: 5)
[01:07:34 -2662.089313] SLOW spr round 9 (radius: 10)
[01:07:43 -2662.089311] SLOW spr round 10 (radius: 15)
[01:07:55 -2657.191805] SLOW spr round 11 (radius: 5)
[01:08:08 -2654.536837] SLOW spr round 12 (radius: 5)
[01:08:18 -2654.536825] SLOW spr round 13 (radius: 10)
[01:08:27 -2654.536825] SLOW spr round 14 (radius: 15)
[01:08:40 -2654.260710] SLOW spr round 15 (radius: 5)
[01:08:52 -2654.260709] SLOW spr round 16 (radius: 10)
[01:09:02 -2654.260709] SLOW spr round 17 (radius: 15)
[01:09:15 -2654.260709] SLOW spr round 18 (radius: 20)
[01:09:28 -2654.260709] SLOW spr round 19 (radius: 25)
[01:09:40 -2654.260709] Model parameter optimization (eps = 0.100000)

[01:09:44] ML tree search #14, logLikelihood: -2654.049963

[01:09:44 -9504.084045] Initial branch length optimization
[01:09:44 -7325.315732] Model parameter optimization (eps = 10.000000)
[01:09:48 -7237.101394] AUTODETECT spr round 1 (radius: 5)
[01:09:55 -4794.332891] AUTODETECT spr round 2 (radius: 10)
[01:10:03 -3999.689115] AUTODETECT spr round 3 (radius: 15)
[01:10:13 -3383.108028] AUTODETECT spr round 4 (radius: 20)
[01:10:24 -3052.790949] AUTODETECT spr round 5 (radius: 25)
[01:10:36 -3050.767749] SPR radius for FAST iterations: 25 (autodetect)
[01:10:36 -3050.767749] Model parameter optimization (eps = 3.000000)
[01:10:41 -3040.099701] FAST spr round 1 (radius: 25)
[01:10:49 -2769.872638] FAST spr round 2 (radius: 25)
[01:10:57 -2698.036790] FAST spr round 3 (radius: 25)
[01:11:05 -2689.733479] FAST spr round 4 (radius: 25)
[01:11:12 -2689.732256] Model parameter optimization (eps = 1.000000)
[01:11:14 -2689.522397] SLOW spr round 1 (radius: 5)
[01:11:23 -2688.869249] SLOW spr round 2 (radius: 5)
[01:11:32 -2688.868772] SLOW spr round 3 (radius: 10)
[01:11:42 -2676.975834] SLOW spr round 4 (radius: 5)
[01:11:54 -2667.784849] SLOW spr round 5 (radius: 5)
[01:12:04 -2667.688585] SLOW spr round 6 (radius: 10)
[01:12:13 -2666.039411] SLOW spr round 7 (radius: 5)
[01:12:24 -2666.038698] SLOW spr round 8 (radius: 10)
[01:12:34 -2665.408311] SLOW spr round 9 (radius: 5)
[01:12:45 -2665.408270] SLOW spr round 10 (radius: 10)
[01:12:54 -2665.408267] SLOW spr round 11 (radius: 15)
[01:13:06 -2664.862625] SLOW spr round 12 (radius: 5)
[01:13:19 -2662.991222] SLOW spr round 13 (radius: 5)
[01:13:29 -2662.973264] SLOW spr round 14 (radius: 10)
[01:13:38 -2662.972161] SLOW spr round 15 (radius: 15)
[01:13:50 -2662.971544] SLOW spr round 16 (radius: 20)
[01:14:03 -2662.971201] SLOW spr round 17 (radius: 25)
[01:14:16 -2662.601737] SLOW spr round 18 (radius: 5)
[01:14:30 -2662.599703] SLOW spr round 19 (radius: 10)
[01:14:41 -2659.820914] SLOW spr round 20 (radius: 5)
[01:14:52 -2659.494705] SLOW spr round 21 (radius: 5)
[01:15:02 -2659.494600] SLOW spr round 22 (radius: 10)
[01:15:11 -2659.494544] SLOW spr round 23 (radius: 15)
[01:15:22 -2659.494516] SLOW spr round 24 (radius: 20)
[01:15:34 -2659.494501] SLOW spr round 25 (radius: 25)
[01:15:47 -2659.494493] Model parameter optimization (eps = 0.100000)

[01:15:50] ML tree search #15, logLikelihood: -2658.817594

[01:15:50 -9621.792873] Initial branch length optimization
[01:15:50 -7529.804384] Model parameter optimization (eps = 10.000000)
[01:15:54 -7432.575629] AUTODETECT spr round 1 (radius: 5)
[01:16:01 -5053.110402] AUTODETECT spr round 2 (radius: 10)
[01:16:09 -4011.255513] AUTODETECT spr round 3 (radius: 15)
[01:16:18 -3453.906686] AUTODETECT spr round 4 (radius: 20)
[01:16:29 -3354.328860] AUTODETECT spr round 5 (radius: 25)
[01:16:40 -3255.058050] SPR radius for FAST iterations: 25 (autodetect)
[01:16:40 -3255.058050] Model parameter optimization (eps = 3.000000)
[01:16:46 -3246.402057] FAST spr round 1 (radius: 25)
[01:16:55 -2753.276959] FAST spr round 2 (radius: 25)
[01:17:03 -2713.206854] FAST spr round 3 (radius: 25)
[01:17:11 -2683.787693] FAST spr round 4 (radius: 25)
[01:17:18 -2680.884198] FAST spr round 5 (radius: 25)
[01:17:25 -2680.703139] FAST spr round 6 (radius: 25)
[01:17:32 -2680.702769] Model parameter optimization (eps = 1.000000)
[01:17:34 -2680.632636] SLOW spr round 1 (radius: 5)
[01:17:44 -2679.238622] SLOW spr round 2 (radius: 5)
[01:17:52 -2679.238304] SLOW spr round 3 (radius: 10)
[01:18:01 -2679.238008] SLOW spr round 4 (radius: 15)
[01:18:14 -2677.208773] SLOW spr round 5 (radius: 5)
[01:18:27 -2669.093957] SLOW spr round 6 (radius: 5)
[01:18:37 -2669.093657] SLOW spr round 7 (radius: 10)
[01:18:46 -2668.642925] SLOW spr round 8 (radius: 5)
[01:18:58 -2668.380659] SLOW spr round 9 (radius: 5)
[01:19:07 -2668.380658] SLOW spr round 10 (radius: 10)
[01:19:16 -2668.380658] SLOW spr round 11 (radius: 15)
[01:19:29 -2666.726224] SLOW spr round 12 (radius: 5)
[01:19:42 -2666.249686] SLOW spr round 13 (radius: 5)
[01:19:51 -2666.249488] SLOW spr round 14 (radius: 10)
[01:20:01 -2661.534186] SLOW spr round 15 (radius: 5)
[01:20:12 -2661.534153] SLOW spr round 16 (radius: 10)
[01:20:22 -2661.534153] SLOW spr round 17 (radius: 15)
[01:20:35 -2660.949664] SLOW spr round 18 (radius: 5)
[01:20:47 -2658.199691] SLOW spr round 19 (radius: 5)
[01:20:57 -2658.199576] SLOW spr round 20 (radius: 10)
[01:21:07 -2658.199576] SLOW spr round 21 (radius: 15)
[01:21:20 -2658.199576] SLOW spr round 22 (radius: 20)
[01:21:33 -2658.199576] SLOW spr round 23 (radius: 25)
[01:21:47 -2656.853981] SLOW spr round 24 (radius: 5)
[01:22:01 -2656.336006] SLOW spr round 25 (radius: 5)
[01:22:12 -2656.335999] SLOW spr round 26 (radius: 10)
[01:22:21 -2655.722411] SLOW spr round 27 (radius: 5)
[01:22:32 -2655.720983] SLOW spr round 28 (radius: 10)
[01:22:42 -2655.720928] SLOW spr round 29 (radius: 15)
[01:22:55 -2655.720926] SLOW spr round 30 (radius: 20)
[01:23:09 -2655.720926] SLOW spr round 31 (radius: 25)
[01:23:23 -2655.720926] Model parameter optimization (eps = 0.100000)

[01:23:25] ML tree search #16, logLikelihood: -2655.091590

[01:23:25 -9560.172899] Initial branch length optimization
[01:23:25 -7502.719925] Model parameter optimization (eps = 10.000000)
[01:23:31 -7414.448925] AUTODETECT spr round 1 (radius: 5)
[01:23:37 -5140.671492] AUTODETECT spr round 2 (radius: 10)
[01:23:46 -3705.340816] AUTODETECT spr round 3 (radius: 15)
[01:23:56 -3377.692361] AUTODETECT spr round 4 (radius: 20)
[01:24:06 -3151.970758] AUTODETECT spr round 5 (radius: 25)
[01:24:16 -3110.322111] SPR radius for FAST iterations: 25 (autodetect)
[01:24:16 -3110.322111] Model parameter optimization (eps = 3.000000)
[01:24:24 -3087.669375] FAST spr round 1 (radius: 25)
[01:24:33 -2768.584715] FAST spr round 2 (radius: 25)
[01:24:41 -2750.968229] FAST spr round 3 (radius: 25)
[01:24:49 -2750.951856] Model parameter optimization (eps = 1.000000)
[01:24:53 -2749.709761] SLOW spr round 1 (radius: 5)
[01:25:02 -2748.729704] SLOW spr round 2 (radius: 5)
[01:25:11 -2748.729472] SLOW spr round 3 (radius: 10)
[01:25:21 -2748.729472] SLOW spr round 4 (radius: 15)
[01:25:34 -2745.340733] SLOW spr round 5 (radius: 5)
[01:25:46 -2741.252348] SLOW spr round 6 (radius: 5)
[01:25:56 -2737.185572] SLOW spr round 7 (radius: 5)
[01:26:05 -2736.740374] SLOW spr round 8 (radius: 5)
[01:26:14 -2736.739748] SLOW spr round 9 (radius: 10)
[01:26:23 -2736.739734] SLOW spr round 10 (radius: 15)
[01:26:36 -2736.688215] SLOW spr round 11 (radius: 20)
[01:26:49 -2736.686283] SLOW spr round 12 (radius: 25)
[01:27:03 -2733.711781] SLOW spr round 13 (radius: 5)
[01:27:16 -2723.325985] SLOW spr round 14 (radius: 5)
[01:27:28 -2704.807309] SLOW spr round 15 (radius: 5)
[01:27:38 -2682.421596] SLOW spr round 16 (radius: 5)
[01:27:47 -2682.421536] SLOW spr round 17 (radius: 10)
[01:27:56 -2672.940123] SLOW spr round 18 (radius: 5)
[01:28:08 -2672.852297] SLOW spr round 19 (radius: 10)
[01:28:17 -2672.852287] SLOW spr round 20 (radius: 15)
[01:28:29 -2672.852287] SLOW spr round 21 (radius: 20)
[01:28:42 -2672.852287] SLOW spr round 22 (radius: 25)
[01:28:55 -2672.852287] Model parameter optimization (eps = 0.100000)

[01:29:00] ML tree search #17, logLikelihood: -2672.005594

[01:29:00 -9416.195907] Initial branch length optimization
[01:29:00 -7342.346650] Model parameter optimization (eps = 10.000000)
[01:29:08 -7235.755831] AUTODETECT spr round 1 (radius: 5)
[01:29:14 -4987.554805] AUTODETECT spr round 2 (radius: 10)
[01:29:23 -4065.808049] AUTODETECT spr round 3 (radius: 15)
[01:29:34 -3520.108134] AUTODETECT spr round 4 (radius: 20)
[01:29:44 -3424.937317] AUTODETECT spr round 5 (radius: 25)
[01:29:55 -3332.430912] SPR radius for FAST iterations: 25 (autodetect)
[01:29:55 -3332.430912] Model parameter optimization (eps = 3.000000)
[01:30:02 -3318.672905] FAST spr round 1 (radius: 25)
[01:30:11 -2920.598488] FAST spr round 2 (radius: 25)
[01:30:18 -2848.476760] FAST spr round 3 (radius: 25)
[01:30:26 -2845.971220] FAST spr round 4 (radius: 25)
[01:30:33 -2845.970306] Model parameter optimization (eps = 1.000000)
[01:30:36 -2845.384202] SLOW spr round 1 (radius: 5)
[01:30:45 -2845.313801] SLOW spr round 2 (radius: 10)
[01:30:55 -2840.631016] SLOW spr round 3 (radius: 5)
[01:31:06 -2840.630741] SLOW spr round 4 (radius: 10)
[01:31:16 -2839.885684] SLOW spr round 5 (radius: 5)
[01:31:27 -2839.885683] SLOW spr round 6 (radius: 10)
[01:31:36 -2839.885679] SLOW spr round 7 (radius: 15)
[01:31:49 -2837.450702] SLOW spr round 8 (radius: 5)
[01:32:01 -2834.515141] SLOW spr round 9 (radius: 5)
[01:32:11 -2834.476747] SLOW spr round 10 (radius: 10)
[01:32:21 -2827.203064] SLOW spr round 11 (radius: 5)
[01:32:33 -2821.339232] SLOW spr round 12 (radius: 5)
[01:32:42 -2821.337519] SLOW spr round 13 (radius: 10)
[01:32:52 -2821.337329] SLOW spr round 14 (radius: 15)
[01:33:04 -2821.337298] SLOW spr round 15 (radius: 20)
[01:33:17 -2819.371241] SLOW spr round 16 (radius: 5)
[01:33:31 -2759.483067] SLOW spr round 17 (radius: 5)
[01:33:42 -2660.352651] SLOW spr round 18 (radius: 5)
[01:33:52 -2654.786556] SLOW spr round 19 (radius: 5)
[01:34:01 -2654.786525] SLOW spr round 20 (radius: 10)
[01:34:10 -2654.786519] SLOW spr round 21 (radius: 15)
[01:34:23 -2654.786519] SLOW spr round 22 (radius: 20)
[01:34:37 -2654.786519] SLOW spr round 23 (radius: 25)
[01:34:52 -2654.786519] Model parameter optimization (eps = 0.100000)

[01:34:56] ML tree search #18, logLikelihood: -2653.637714

[01:34:56 -9499.596468] Initial branch length optimization
[01:34:56 -7411.567781] Model parameter optimization (eps = 10.000000)
[01:35:02 -7316.639522] AUTODETECT spr round 1 (radius: 5)
[01:35:08 -4831.244156] AUTODETECT spr round 2 (radius: 10)
[01:35:17 -3894.345926] AUTODETECT spr round 3 (radius: 15)
[01:35:26 -3722.430987] AUTODETECT spr round 4 (radius: 20)
[01:35:38 -3402.767598] AUTODETECT spr round 5 (radius: 25)
[01:35:49 -3399.932712] SPR radius for FAST iterations: 25 (autodetect)
[01:35:49 -3399.932712] Model parameter optimization (eps = 3.000000)
[01:35:54 -3381.852883] FAST spr round 1 (radius: 25)
[01:36:02 -2874.911677] FAST spr round 2 (radius: 25)
[01:36:10 -2726.832281] FAST spr round 3 (radius: 25)
[01:36:18 -2681.508506] FAST spr round 4 (radius: 25)
[01:36:26 -2670.195536] FAST spr round 5 (radius: 25)
[01:36:33 -2670.195227] Model parameter optimization (eps = 1.000000)
[01:36:41 -2662.095756] SLOW spr round 1 (radius: 5)
[01:36:50 -2660.803190] SLOW spr round 2 (radius: 5)
[01:36:59 -2659.714502] SLOW spr round 3 (radius: 5)
[01:37:08 -2659.395939] SLOW spr round 4 (radius: 5)
[01:37:17 -2659.306293] SLOW spr round 5 (radius: 10)
[01:37:27 -2657.493809] SLOW spr round 6 (radius: 5)
[01:37:38 -2656.236700] SLOW spr round 7 (radius: 5)
[01:37:46 -2656.236656] SLOW spr round 8 (radius: 10)
[01:37:56 -2656.236630] SLOW spr round 9 (radius: 15)
[01:38:08 -2656.236628] SLOW spr round 10 (radius: 20)
[01:38:21 -2656.236627] SLOW spr round 11 (radius: 25)
[01:38:35 -2656.236627] Model parameter optimization (eps = 0.100000)

[01:38:36] ML tree search #19, logLikelihood: -2656.196972

[01:38:36 -9448.726860] Initial branch length optimization
[01:38:37 -7363.930228] Model parameter optimization (eps = 10.000000)
[01:38:42 -7262.561778] AUTODETECT spr round 1 (radius: 5)
[01:38:49 -5069.124798] AUTODETECT spr round 2 (radius: 10)
[01:38:57 -3687.926684] AUTODETECT spr round 3 (radius: 15)
[01:39:07 -3085.185176] AUTODETECT spr round 4 (radius: 20)
[01:39:18 -3001.308767] AUTODETECT spr round 5 (radius: 25)
[01:39:28 -2982.441159] SPR radius for FAST iterations: 25 (autodetect)
[01:39:28 -2982.441159] Model parameter optimization (eps = 3.000000)
[01:39:32 -2969.531619] FAST spr round 1 (radius: 25)
[01:39:41 -2738.093931] FAST spr round 2 (radius: 25)
[01:39:49 -2703.021503] FAST spr round 3 (radius: 25)
[01:39:56 -2698.155594] FAST spr round 4 (radius: 25)
[01:40:04 -2697.741981] FAST spr round 5 (radius: 25)
[01:40:11 -2697.741968] Model parameter optimization (eps = 1.000000)
[01:40:13 -2697.531077] SLOW spr round 1 (radius: 5)
[01:40:22 -2697.406703] SLOW spr round 2 (radius: 5)
[01:40:31 -2697.406645] SLOW spr round 3 (radius: 10)
[01:40:42 -2685.259721] SLOW spr round 4 (radius: 5)
[01:40:54 -2682.492479] SLOW spr round 5 (radius: 5)
[01:41:03 -2682.492384] SLOW spr round 6 (radius: 10)
[01:41:13 -2665.411609] SLOW spr round 7 (radius: 5)
[01:41:24 -2662.450891] SLOW spr round 8 (radius: 5)
[01:41:33 -2662.450877] SLOW spr round 9 (radius: 10)
[01:41:43 -2662.450877] SLOW spr round 10 (radius: 15)
[01:41:56 -2661.744190] SLOW spr round 11 (radius: 5)
[01:42:08 -2661.744188] SLOW spr round 12 (radius: 10)
[01:42:18 -2661.744187] SLOW spr round 13 (radius: 15)
[01:42:31 -2661.704437] SLOW spr round 14 (radius: 20)
[01:42:44 -2661.704437] SLOW spr round 15 (radius: 25)
[01:42:56 -2661.704437] Model parameter optimization (eps = 0.100000)

[01:42:59] ML tree search #20, logLikelihood: -2661.196353


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.109370,0.258000) (0.277437,0.620693) (0.510000,1.279508) (0.103192,1.424820) 
   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: -2649.838112

AIC score: 6181.676223 / AICc score: 396025.676223 / BIC score: 6867.584718
Free parameters (model + branch lengths): 441

WARNING: Number of free parameters (K=441) is larger than alignment size (n=35).
         This might lead to overfitting and compromise tree inference results!


Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/A6PVY3/3_mltree/A6PVY3.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/A6PVY3/3_mltree/A6PVY3.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/A6PVY3/3_mltree/A6PVY3.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/250721_run/phylogeny-snakemake/results/A6PVY3/3_mltree/A6PVY3.raxml.log

Analysis started: 26-Jul-2021 00:10:20 / finished: 26-Jul-2021 01:53:19

Elapsed time: 6179.124 seconds

Consumed energy: 409.561 Wh (= 2 km in an electric car, or 10 km with an e-scooter!)