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

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

RAxML-NG was called at 12-Jul-2021 12:49:54 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8NCF0/2_msa/Q8NCF0_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8NCF0/3_mltree/Q8NCF0 --seed 2 --threads 7 --tree rand{20} pars{20}

Analysis options:
  run mode: ML tree search
  start tree(s): random (20)
  random seed: 2
  tip-inner: OFF
  pattern compression: ON
  per-rate scalers: OFF
  site repeats: ON
  fast spr radius: AUTO
  spr subtree cutoff: 1.000000
  branch lengths: proportional (ML estimate, algorithm: NR-FAST)
  SIMD kernels: AVX2
  parallelization: coarse-grained (auto), PTHREADS (7 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8NCF0/2_msa/Q8NCF0_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 575 sites

WARNING: Sequences tr_A0A2I2Z403_A0A2I2Z403_GORGO_9595 and sp_O43692_PI15_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3SC07_G3SC07_GORGO_9595 and tr_A0A2J8M9V0_A0A2J8M9V0_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3SC07_G3SC07_GORGO_9595 and tr_A0A2R9BDU4_A0A2R9BDU4_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3RX55_A0A2I3RX55_PANTR_9598 and tr_A0A2R9AJD5_A0A2R9AJD5_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2Q6I0_H2Q6I0_PANTR_9598 and sp_P48060_GLIP1_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_H2Q6I0_H2Q6I0_PANTR_9598 and tr_A0A2R9BRE0_A0A2R9BRE0_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2QSX2_H2QSX2_PANTR_9598 and tr_A0A2R9BJ53_A0A2R9BJ53_PANPA_9597 are exactly identical!
WARNING: Sequences tr_K7A8K8_K7A8K8_PANTR_9598 and sp_Q9H0B8_CRLD2_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_F7GPA7_F7GPA7_MACMU_9544 and tr_G7PC22_G7PC22_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7GPA7_F7GPA7_MACMU_9544 and tr_A0A2K6D6C5_A0A2K6D6C5_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7GZU6_F7GZU6_MACMU_9544 and tr_G8F5A2_G8F5A2_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7GZU6_F7GZU6_MACMU_9544 and tr_A0A096N9D7_A0A096N9D7_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F7GZU6_F7GZU6_MACMU_9544 and tr_A0A0D9RM12_A0A0D9RM12_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_F7GZU6_F7GZU6_MACMU_9544 and tr_A0A2K5XRL6_A0A2K5XRL6_MANLE_9568 are exactly identical!
WARNING: Sequences tr_G7P3C5_G7P3C5_MACFA_9541 and tr_A0A2K6B571_A0A2K6B571_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G7P4U1_G7P4U1_MACFA_9541 and tr_A0A2K6CKD5_A0A2K6CKD5_MACNE_9545 are exactly identical!
WARNING: Sequences tr_M4F7C1_M4F7C1_BRARP_51351 and tr_A0A078IJX4_A0A078IJX4_BRANA_3708 are exactly identical!
WARNING: Sequences tr_M4F7C8_M4F7C8_BRARP_51351 and tr_A0A078I8C5_A0A078I8C5_BRANA_3708 are exactly identical!
WARNING: Sequences tr_A0A096NEQ2_A0A096NEQ2_PAPAN_9555 and tr_A0A2K5XA39_A0A2K5XA39_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A1S3XBU5_A0A1S3XBU5_TOBAC_4097 and sp_P09042_PR1C_TOBAC_4097 are exactly identical!
WARNING: Sequences tr_A0A1S3XBU5_A0A1S3XBU5_TOBAC_4097 and tr_A0A1U7VS72_A0A1U7VS72_NICSY_4096 are exactly identical!
WARNING: Sequences tr_A0A1S4AM21_A0A1S4AM21_TOBAC_4097 and tr_A0A1U7XML8_A0A1U7XML8_NICSY_4096 are exactly identical!
WARNING: Sequences tr_A0A2D0SKW7_A0A2D0SKW7_ICTPU_7998 and tr_A0A2D0SLH1_A0A2D0SLH1_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A1U8HM42_A0A1U8HM42_CAPAN_4072 and tr_A0A2G3BV51_A0A2G3BV51_CAPCH_80379 are exactly identical!
WARNING: Duplicate sequences found: 24

NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) 
NOTE: was saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8NCF0/3_mltree/Q8NCF0.raxml.reduced.phy

Alignment comprises 1 partitions and 575 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 575 / 575
Gaps: 50.27 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8NCF0/3_mltree/Q8NCF0.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 / 83 / 6640
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -582454.060349] Initial branch length optimization
[00:00:03 -476536.811740] Model parameter optimization (eps = 10.000000)
[00:00:26 -476359.257427] AUTODETECT spr round 1 (radius: 5)
[00:02:19 -362143.556787] AUTODETECT spr round 2 (radius: 10)
[00:04:30 -273539.272086] AUTODETECT spr round 3 (radius: 15)
[00:06:52 -229478.524394] AUTODETECT spr round 4 (radius: 20)
[00:09:28 -217831.395615] AUTODETECT spr round 5 (radius: 25)
[00:12:42 -215314.312953] SPR radius for FAST iterations: 25 (autodetect)
[00:12:42 -215314.312953] Model parameter optimization (eps = 3.000000)
[00:12:49 -215288.641044] FAST spr round 1 (radius: 25)
[00:16:04 -196252.566480] FAST spr round 2 (radius: 25)
[00:18:31 -195329.964024] FAST spr round 3 (radius: 25)
[00:20:37 -195218.947330] FAST spr round 4 (radius: 25)
[00:22:32 -195166.847015] FAST spr round 5 (radius: 25)
[00:24:08 -195166.845835] Model parameter optimization (eps = 1.000000)
[00:24:45 -194676.820428] SLOW spr round 1 (radius: 5)
[00:26:55 -194606.979256] SLOW spr round 2 (radius: 5)
[00:29:00 -194592.445307] SLOW spr round 3 (radius: 5)
[00:30:56 -194591.370977] SLOW spr round 4 (radius: 5)
[00:32:49 -194591.370944] SLOW spr round 5 (radius: 10)
[00:34:50 -194582.508333] SLOW spr round 6 (radius: 5)
[00:37:12 -194574.177295] SLOW spr round 7 (radius: 5)
[00:39:18 -194573.836567] SLOW spr round 8 (radius: 5)
[00:41:17 -194573.836296] SLOW spr round 9 (radius: 10)
[00:43:18 -194573.281069] SLOW spr round 10 (radius: 5)
[00:45:36 -194566.410609] SLOW spr round 11 (radius: 5)
[00:47:42 -194565.354272] SLOW spr round 12 (radius: 5)
[00:49:39 -194565.354161] SLOW spr round 13 (radius: 10)
[00:51:39 -194561.671866] SLOW spr round 14 (radius: 5)
[00:53:56 -194559.978231] SLOW spr round 15 (radius: 5)
[00:55:59 -194559.789695] SLOW spr round 16 (radius: 5)
[00:57:55 -194559.789455] SLOW spr round 17 (radius: 10)
[00:59:55 -194559.271016] SLOW spr round 18 (radius: 5)
[01:02:11 -194556.309504] SLOW spr round 19 (radius: 5)
[01:04:13 -194556.308182] SLOW spr round 20 (radius: 10)
[01:06:15 -194555.928546] SLOW spr round 21 (radius: 5)
[01:08:30 -194555.402857] SLOW spr round 22 (radius: 5)
[01:10:32 -194555.402057] SLOW spr round 23 (radius: 10)
[01:12:33 -194555.402029] SLOW spr round 24 (radius: 15)
[01:15:45 -194555.402027] SLOW spr round 25 (radius: 20)
[01:20:42 -194555.402026] SLOW spr round 26 (radius: 25)
[01:27:06 -194555.402026] Model parameter optimization (eps = 0.100000)

[01:27:19] ML tree search #1, logLikelihood: -194552.890050

[01:27:20 -584252.325151] Initial branch length optimization
[01:27:23 -478060.903353] Model parameter optimization (eps = 10.000000)
[01:27:50 -477836.355810] AUTODETECT spr round 1 (radius: 5)
[01:29:45 -359582.908770] AUTODETECT spr round 2 (radius: 10)
[01:31:51 -278777.483688] AUTODETECT spr round 3 (radius: 15)
[01:34:13 -235354.145719] AUTODETECT spr round 4 (radius: 20)
[01:36:42 -218485.305067] AUTODETECT spr round 5 (radius: 25)
[01:39:26 -214973.473852] SPR radius for FAST iterations: 25 (autodetect)
[01:39:26 -214973.473852] Model parameter optimization (eps = 3.000000)
[01:40:00 -214376.082936] FAST spr round 1 (radius: 25)
[01:42:47 -195594.327436] FAST spr round 2 (radius: 25)
[01:44:59 -194747.268371] FAST spr round 3 (radius: 25)
[01:46:56 -194634.956663] FAST spr round 4 (radius: 25)
[01:48:44 -194605.665402] FAST spr round 5 (radius: 25)
[01:50:21 -194596.637018] FAST spr round 6 (radius: 25)
[01:51:53 -194596.635564] Model parameter optimization (eps = 1.000000)
[01:52:10 -194586.892732] SLOW spr round 1 (radius: 5)
[01:54:13 -194556.624214] SLOW spr round 2 (radius: 5)
[01:56:10 -194555.317487] SLOW spr round 3 (radius: 5)
[01:58:06 -194554.247117] SLOW spr round 4 (radius: 5)
[02:00:01 -194552.349850] SLOW spr round 5 (radius: 5)
[02:01:55 -194551.763085] SLOW spr round 6 (radius: 5)
[02:03:50 -194550.263469] SLOW spr round 7 (radius: 5)
[02:05:44 -194549.993481] SLOW spr round 8 (radius: 5)
[02:07:36 -194549.993453] SLOW spr round 9 (radius: 10)
[02:09:36 -194548.325474] SLOW spr round 10 (radius: 5)
[02:11:55 -194544.269461] SLOW spr round 11 (radius: 5)
[02:13:58 -194544.267888] SLOW spr round 12 (radius: 10)
[02:16:03 -194543.983389] SLOW spr round 13 (radius: 5)
[02:18:17 -194543.969858] SLOW spr round 14 (radius: 10)
[02:20:30 -194543.810099] SLOW spr round 15 (radius: 5)
[02:22:43 -194543.809125] SLOW spr round 16 (radius: 10)
[02:24:53 -194543.809096] SLOW spr round 17 (radius: 15)
[02:28:07 -194543.809093] SLOW spr round 18 (radius: 20)
[02:33:31 -194543.809093] SLOW spr round 19 (radius: 25)
[02:40:19 -194543.809093] Model parameter optimization (eps = 0.100000)

[02:40:26] ML tree search #2, logLikelihood: -194543.699322

[02:40:27 -586287.329390] Initial branch length optimization
[02:40:30 -479034.476354] Model parameter optimization (eps = 10.000000)
[02:40:53 -478843.901828] AUTODETECT spr round 1 (radius: 5)
[02:42:47 -358942.922866] AUTODETECT spr round 2 (radius: 10)
[02:44:56 -277387.787675] AUTODETECT spr round 3 (radius: 15)
[02:47:18 -234256.105413] AUTODETECT spr round 4 (radius: 20)
[02:49:48 -223093.900538] AUTODETECT spr round 5 (radius: 25)
[02:52:41 -218157.789006] SPR radius for FAST iterations: 25 (autodetect)
[02:52:41 -218157.789006] Model parameter optimization (eps = 3.000000)
[02:53:23 -217422.018202] FAST spr round 1 (radius: 25)
[02:56:13 -195674.404550] FAST spr round 2 (radius: 25)
[02:58:28 -194710.884265] FAST spr round 3 (radius: 25)
[03:00:26 -194639.496792] FAST spr round 4 (radius: 25)
[03:02:09 -194626.615746] FAST spr round 5 (radius: 25)
[03:03:44 -194625.325430] FAST spr round 6 (radius: 25)
[03:05:17 -194625.325089] Model parameter optimization (eps = 1.000000)
[03:05:30 -194618.610403] SLOW spr round 1 (radius: 5)
[03:07:32 -194585.631477] SLOW spr round 2 (radius: 5)
[03:09:31 -194578.647482] SLOW spr round 3 (radius: 5)
[03:11:24 -194578.084502] SLOW spr round 4 (radius: 5)
[03:13:17 -194578.084446] SLOW spr round 5 (radius: 10)
[03:15:11 -194574.896744] SLOW spr round 6 (radius: 5)
[03:17:27 -194573.877638] SLOW spr round 7 (radius: 5)
[03:19:31 -194571.285644] SLOW spr round 8 (radius: 5)
[03:21:28 -194571.285642] SLOW spr round 9 (radius: 10)
[03:23:25 -194570.682476] SLOW spr round 10 (radius: 5)
[03:25:40 -194567.663899] SLOW spr round 11 (radius: 5)
[03:27:42 -194567.662900] SLOW spr round 12 (radius: 10)
[03:29:42 -194564.987873] SLOW spr round 13 (radius: 5)
[03:31:57 -194561.587818] SLOW spr round 14 (radius: 5)
[03:33:59 -194559.347405] SLOW spr round 15 (radius: 5)
[03:35:55 -194559.346676] SLOW spr round 16 (radius: 10)
[03:37:51 -194559.346669] SLOW spr round 17 (radius: 15)
[03:41:01 -194559.346668] SLOW spr round 18 (radius: 20)
[03:45:31 -194559.346668] SLOW spr round 19 (radius: 25)
[03:51:35 -194559.346668] Model parameter optimization (eps = 0.100000)

[03:51:39] ML tree search #3, logLikelihood: -194559.258299

[03:51:40 -585194.934184] Initial branch length optimization
[03:51:42 -476970.892103] Model parameter optimization (eps = 10.000000)
[03:52:07 -476778.243574] AUTODETECT spr round 1 (radius: 5)
[03:54:01 -365597.177649] AUTODETECT spr round 2 (radius: 10)
[03:56:10 -282442.194174] AUTODETECT spr round 3 (radius: 15)
[03:58:31 -257906.680011] AUTODETECT spr round 4 (radius: 20)
[04:01:41 -238335.902374] AUTODETECT spr round 5 (radius: 25)
[04:04:59 -223934.879095] SPR radius for FAST iterations: 25 (autodetect)
[04:04:59 -223934.879095] Model parameter optimization (eps = 3.000000)
[04:05:36 -223297.182609] FAST spr round 1 (radius: 25)
[04:08:45 -196188.057450] FAST spr round 2 (radius: 25)
[04:11:03 -194763.129428] FAST spr round 3 (radius: 25)
[04:13:00 -194662.140863] FAST spr round 4 (radius: 25)
[04:14:42 -194645.832749] FAST spr round 5 (radius: 25)
[04:16:17 -194645.814004] Model parameter optimization (eps = 1.000000)
[04:16:34 -194635.381088] SLOW spr round 1 (radius: 5)
[04:18:37 -194591.174346] SLOW spr round 2 (radius: 5)
[04:20:36 -194585.240637] SLOW spr round 3 (radius: 5)
[04:22:30 -194585.239740] SLOW spr round 4 (radius: 10)
[04:24:29 -194570.524665] SLOW spr round 5 (radius: 5)
[04:26:47 -194567.120224] SLOW spr round 6 (radius: 5)
[04:28:52 -194562.142780] SLOW spr round 7 (radius: 5)
[04:30:48 -194562.140954] SLOW spr round 8 (radius: 10)
[04:32:47 -194561.042301] SLOW spr round 9 (radius: 5)

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

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

RAxML-NG was called at 19-Jul-2021 17:28:20 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8NCF0/2_msa/Q8NCF0_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8NCF0/3_mltree/Q8NCF0 --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

WARNING: The model you specified on the command line (LG4X) will be ignored 
         since the binary MSA file already contains a model definition.
         If you want to change the model, please re-run RAxML-NG 
         with the original PHYLIP/FASTA alignment and --redo option.

[00:00:00] Loading binary alignment from file: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8NCF0/3_mltree/Q8NCF0.raxml.rba
[00:00:00] Alignment comprises 1001 taxa, 1 partitions and 575 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 575 / 575
Gaps: 50.27 %
Invariant sites: 0.00 %


Parallelization scheme autoconfig: 1 worker(s) x 7 thread(s)

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

[00:00:00] NOTE: Resuming execution from checkpoint (logLH: -194561.04, ML trees: 3, bootstraps: 0)
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 83 / 6640
[00:00:00] Data distribution: max. searches per worker: 17

Starting ML tree search with 20 distinct starting trees

[00:00:00 -194561.042301] SPR radius for FAST iterations: 25 (autodetect)
[00:00:00 -194561.042301] SLOW spr round 9 (radius: 5)
[00:02:16 -194558.878144] SLOW spr round 10 (radius: 5)
[00:04:19 -194556.181080] SLOW spr round 11 (radius: 5)
[00:06:15 -194556.180872] SLOW spr round 12 (radius: 10)
[00:08:12 -194555.543520] SLOW spr round 13 (radius: 5)
[00:10:25 -194553.106131] SLOW spr round 14 (radius: 5)
[00:12:27 -194553.104954] SLOW spr round 15 (radius: 10)
[00:14:26 -194553.104855] SLOW spr round 16 (radius: 15)
[00:17:42 -194552.143866] SLOW spr round 17 (radius: 5)
[00:20:00 -194552.143368] SLOW spr round 18 (radius: 10)
[00:22:15 -194552.143330] SLOW spr round 19 (radius: 15)
[00:25:20 -194552.143326] SLOW spr round 20 (radius: 20)
[00:30:26 -194552.143326] SLOW spr round 21 (radius: 25)
[00:37:07 -194552.143326] Model parameter optimization (eps = 0.100000)

[00:37:11] ML tree search #4, logLikelihood: -194552.103036

[00:37:11 -585368.052849] Initial branch length optimization
[00:37:15 -479769.404733] Model parameter optimization (eps = 10.000000)
[00:37:47 -479441.193175] AUTODETECT spr round 1 (radius: 5)
[00:39:37 -361910.095236] AUTODETECT spr round 2 (radius: 10)
[00:41:42 -277363.509931] AUTODETECT spr round 3 (radius: 15)
[00:44:01 -227114.244688] AUTODETECT spr round 4 (radius: 20)
[00:46:39 -214681.649178] AUTODETECT spr round 5 (radius: 25)
[00:49:38 -213696.501797] SPR radius for FAST iterations: 25 (autodetect)
[00:49:38 -213696.501797] Model parameter optimization (eps = 3.000000)
[00:49:46 -213670.385624] FAST spr round 1 (radius: 25)
[00:52:35 -196416.845796] FAST spr round 2 (radius: 25)
[00:54:54 -195623.698038] FAST spr round 3 (radius: 25)
[00:56:53 -195532.624559] FAST spr round 4 (radius: 25)
[00:58:40 -195511.256975] FAST spr round 5 (radius: 25)
[01:00:17 -195507.190837] FAST spr round 6 (radius: 25)
[01:01:50 -195507.190607] Model parameter optimization (eps = 1.000000)
[01:02:30 -194744.430415] SLOW spr round 1 (radius: 5)
[01:04:37 -194640.096999] SLOW spr round 2 (radius: 5)
[01:06:37 -194599.533287] SLOW spr round 3 (radius: 5)
[01:08:35 -194592.908893] SLOW spr round 4 (radius: 5)
[01:10:32 -194587.688945] SLOW spr round 5 (radius: 5)
[01:12:26 -194586.249113] SLOW spr round 6 (radius: 5)
[01:14:21 -194585.026497] SLOW spr round 7 (radius: 5)
[01:16:14 -194585.025879] SLOW spr round 8 (radius: 10)
[01:18:13 -194581.860749] SLOW spr round 9 (radius: 5)
[01:20:29 -194581.859730] SLOW spr round 10 (radius: 10)
[01:22:43 -194580.848708] SLOW spr round 11 (radius: 5)
[01:24:58 -194577.734381] SLOW spr round 12 (radius: 5)
[01:27:00 -194577.734219] SLOW spr round 13 (radius: 10)
[01:29:03 -194577.518088] SLOW spr round 14 (radius: 5)
[01:31:19 -194573.810741] SLOW spr round 15 (radius: 5)
[01:33:22 -194573.498570] SLOW spr round 16 (radius: 5)
[01:35:19 -194573.498434] SLOW spr round 17 (radius: 10)
[01:37:19 -194573.498431] SLOW spr round 18 (radius: 15)
[01:40:43 -194572.925431] SLOW spr round 19 (radius: 5)
[01:43:04 -194572.925354] SLOW spr round 20 (radius: 10)
[01:45:22 -194572.925354] SLOW spr round 21 (radius: 15)
[01:48:33 -194572.925354] SLOW spr round 22 (radius: 20)
[01:53:42 -194572.925354] SLOW spr round 23 (radius: 25)
[02:00:18 -194572.925354] Model parameter optimization (eps = 0.100000)

[02:00:30] ML tree search #5, logLikelihood: -194571.934685

[02:00:30 -582498.160917] Initial branch length optimization
[02:00:33 -476619.658977] Model parameter optimization (eps = 10.000000)
[02:01:04 -476429.423580] AUTODETECT spr round 1 (radius: 5)
[02:02:58 -355043.736064] AUTODETECT spr round 2 (radius: 10)
[02:05:06 -282558.667725] AUTODETECT spr round 3 (radius: 15)
[02:07:27 -248449.451640] AUTODETECT spr round 4 (radius: 20)
[02:10:14 -220881.075211] AUTODETECT spr round 5 (radius: 25)
[02:12:52 -218537.690938] SPR radius for FAST iterations: 25 (autodetect)
[02:12:52 -218537.690938] Model parameter optimization (eps = 3.000000)
[02:13:30 -217894.509611] FAST spr round 1 (radius: 25)
[02:16:11 -195390.187748] FAST spr round 2 (radius: 25)
[02:18:27 -194690.679872] FAST spr round 3 (radius: 25)
[02:20:22 -194622.002026] FAST spr round 4 (radius: 25)
[02:22:04 -194610.431641] FAST spr round 5 (radius: 25)
[02:23:38 -194607.895977] FAST spr round 6 (radius: 25)
[02:25:10 -194607.895869] Model parameter optimization (eps = 1.000000)
[02:25:24 -194599.155447] SLOW spr round 1 (radius: 5)
[02:27:28 -194559.986119] SLOW spr round 2 (radius: 5)
[02:29:27 -194555.067827] SLOW spr round 3 (radius: 5)
[02:31:24 -194553.327486] SLOW spr round 4 (radius: 5)
[02:33:20 -194550.516871] SLOW spr round 5 (radius: 5)
[02:35:15 -194548.349323] SLOW spr round 6 (radius: 5)
[02:37:10 -194545.263725] SLOW spr round 7 (radius: 5)
[02:39:04 -194545.262111] SLOW spr round 8 (radius: 10)
[02:41:03 -194545.261967] SLOW spr round 9 (radius: 15)
[02:44:39 -194544.453061] SLOW spr round 10 (radius: 5)
[02:46:59 -194544.452723] SLOW spr round 11 (radius: 10)
[02:49:17 -194544.452718] SLOW spr round 12 (radius: 15)
[02:52:35 -194544.452718] SLOW spr round 13 (radius: 20)
[02:57:58 -194544.452718] SLOW spr round 14 (radius: 25)
[03:04:45 -194544.452718] Model parameter optimization (eps = 0.100000)

[03:04:56] ML tree search #6, logLikelihood: -194543.602318

[03:04:56 -583681.565982] Initial branch length optimization
[03:04:59 -478589.094352] Model parameter optimization (eps = 10.000000)
[03:05:32 -478335.023711] AUTODETECT spr round 1 (radius: 5)
[03:07:25 -364148.473099] AUTODETECT spr round 2 (radius: 10)
[03:09:32 -279019.330037] AUTODETECT spr round 3 (radius: 15)
[03:11:53 -227579.750862] AUTODETECT spr round 4 (radius: 20)
[03:14:31 -217677.380652] AUTODETECT spr round 5 (radius: 25)
[03:16:57 -215773.769822] SPR radius for FAST iterations: 25 (autodetect)
[03:16:57 -215773.769822] Model parameter optimization (eps = 3.000000)
[03:17:05 -215748.929142] FAST spr round 1 (radius: 25)
[03:19:54 -196343.111423] FAST spr round 2 (radius: 25)
[03:22:26 -195526.797226] FAST spr round 3 (radius: 25)
[03:24:33 -195441.800214] FAST spr round 4 (radius: 25)
[03:26:26 -195424.222698] FAST spr round 5 (radius: 25)
[03:28:09 -195416.380013] FAST spr round 6 (radius: 25)
[03:29:45 -195416.379987] Model parameter optimization (eps = 1.000000)
[03:30:08 -194710.922782] SLOW spr round 1 (radius: 5)
[03:32:25 -194618.904064] SLOW spr round 2 (radius: 5)
[03:34:32 -194604.669546] SLOW spr round 3 (radius: 5)
[03:36:30 -194604.426499] SLOW spr round 4 (radius: 5)
[03:38:27 -194604.426205] SLOW spr round 5 (radius: 10)
[03:40:33 -194595.450947] SLOW spr round 6 (radius: 5)
[03:43:01 -194584.406258] SLOW spr round 7 (radius: 5)
[03:45:08 -194584.405118] SLOW spr round 8 (radius: 10)
[03:47:13 -194584.405005] SLOW spr round 9 (radius: 15)
[03:50:36 -194584.404981] SLOW spr round 10 (radius: 20)
[03:56:04 -194584.404973] SLOW spr round 11 (radius: 25)
[04:03:36 -194584.404969] Model parameter optimization (eps = 0.100000)

[04:04:00] ML tree search #7, logLikelihood: -194571.197932

[04:04:00 -582961.303599] Initial branch length optimization
[04:04:04 -479641.636978] Model parameter optimization (eps = 10.000000)
[04:04:29 -479441.708357] AUTODETECT spr round 1 (radius: 5)
[04:06:21 -360527.575277] AUTODETECT spr round 2 (radius: 10)
[04:08:30 -275183.627951] AUTODETECT spr round 3 (radius: 15)
[04:10:48 -234226.240226] AUTODETECT spr round 4 (radius: 20)
[04:13:35 -220249.986902] AUTODETECT spr round 5 (radius: 25)
[04:16:35 -216921.274403] SPR radius for FAST iterations: 25 (autodetect)
[04:16:35 -216921.274403] Model parameter optimization (eps = 3.000000)
[04:17:21 -216228.235984] FAST spr round 1 (radius: 25)
[04:20:20 -195661.251825] FAST spr round 2 (radius: 25)
[04:22:47 -194762.766187] FAST spr round 3 (radius: 25)
[04:24:47 -194713.629976] FAST spr round 4 (radius: 25)
[04:26:31 -194690.886548] FAST spr round 5 (radius: 25)
[04:28:09 -194689.380453] FAST spr round 6 (radius: 25)
[04:29:44 -194689.380285] Model parameter optimization (eps = 1.000000)
[04:30:01 -194678.064341] SLOW spr round 1 (radius: 5)
[04:32:04 -194633.567292] SLOW spr round 2 (radius: 5)
[04:34:04 -194615.495840] SLOW spr round 3 (radius: 5)
[04:35:58 -194613.768901] SLOW spr round 4 (radius: 5)
[04:37:51 -194613.768828] SLOW spr round 5 (radius: 10)
[04:39:54 -194602.525593] SLOW spr round 6 (radius: 5)
[04:42:14 -194585.440445] SLOW spr round 7 (radius: 5)
[04:44:20 -194584.279081] SLOW spr round 8 (radius: 5)
[04:46:21 -194579.073666] SLOW spr round 9 (radius: 5)
[04:48:19 -194573.874832] SLOW spr round 10 (radius: 5)
[04:50:17 -194569.996585] SLOW spr round 11 (radius: 5)
[04:52:12 -194568.975545] SLOW spr round 12 (radius: 5)
[04:54:07 -194568.457182] SLOW spr round 13 (radius: 5)
[04:56:03 -194565.625819] SLOW spr round 14 (radius: 5)
[04:57:57 -194564.583779] SLOW spr round 15 (radius: 5)
[04:59:51 -194564.253604] SLOW spr round 16 (radius: 5)
[05:01:44 -194564.253529] SLOW spr round 17 (radius: 10)
[05:03:41 -194563.883691] SLOW spr round 18 (radius: 5)
[05:05:58 -194561.912073] SLOW spr round 19 (radius: 5)
[05:08:01 -194561.911440] SLOW spr round 20 (radius: 10)
[05:10:03 -194561.656659] SLOW spr round 21 (radius: 5)
[05:12:18 -194561.372855] SLOW spr round 22 (radius: 5)
[05:14:20 -194561.372368] SLOW spr round 23 (radius: 10)
[05:16:22 -194560.886978] SLOW spr round 24 (radius: 5)
[05:18:36 -194559.593557] SLOW spr round 25 (radius: 5)
[05:20:38 -194559.593538] SLOW spr round 26 (radius: 10)
[05:22:40 -194559.593538] SLOW spr round 27 (radius: 15)
[05:25:53 -194559.593538] SLOW spr round 28 (radius: 20)
[05:30:55 -194559.593538] SLOW spr round 29 (radius: 25)
[05:37:49 -194559.593538] Model parameter optimization (eps = 0.100000)

[05:37:59] ML tree search #8, logLikelihood: -194558.640516

[05:37:59 -583481.529544] Initial branch length optimization
[05:38:02 -478120.468967] Model parameter optimization (eps = 10.000000)
[05:38:24 -477901.739666] AUTODETECT spr round 1 (radius: 5)
[05:40:16 -364443.156741] AUTODETECT spr round 2 (radius: 10)
[05:42:25 -277119.392536] AUTODETECT spr round 3 (radius: 15)
[05:44:41 -234683.138703] AUTODETECT spr round 4 (radius: 20)
[05:47:18 -215756.862894] AUTODETECT spr round 5 (radius: 25)
[05:50:23 -214383.764739] SPR radius for FAST iterations: 25 (autodetect)
[05:50:23 -214383.764739] Model parameter optimization (eps = 3.000000)
[05:50:31 -214359.711759] FAST spr round 1 (radius: 25)
[05:53:38 -196067.427231] FAST spr round 2 (radius: 25)
[05:56:08 -195313.176087] FAST spr round 3 (radius: 25)
[05:58:13 -195222.948957] FAST spr round 4 (radius: 25)
[06:00:00 -195205.802528] FAST spr round 5 (radius: 25)
[06:01:40 -195192.801338] FAST spr round 6 (radius: 25)
[06:03:16 -195191.196105] FAST spr round 7 (radius: 25)
[06:04:49 -195191.194075] Model parameter optimization (eps = 1.000000)
[06:05:28 -194633.438133] SLOW spr round 1 (radius: 5)
[06:07:32 -194578.264209] SLOW spr round 2 (radius: 5)
[06:09:32 -194567.369323] SLOW spr round 3 (radius: 5)
[06:11:28 -194565.731000] SLOW spr round 4 (radius: 5)
[06:13:20 -194565.730800] SLOW spr round 5 (radius: 10)
[06:15:18 -194561.109008] SLOW spr round 6 (radius: 5)
[06:17:33 -194561.108264] SLOW spr round 7 (radius: 10)
[06:19:45 -194560.711112] SLOW spr round 8 (radius: 5)
[06:21:58 -194560.066871] SLOW spr round 9 (radius: 5)
[06:24:01 -194558.194581] SLOW spr round 10 (radius: 5)
[06:25:56 -194558.194232] SLOW spr round 11 (radius: 10)
[06:27:56 -194557.746495] SLOW spr round 12 (radius: 5)
[06:30:10 -194557.636880] SLOW spr round 13 (radius: 5)
[06:32:13 -194557.635977] SLOW spr round 14 (radius: 10)
[06:34:16 -194557.635961] SLOW spr round 15 (radius: 15)
[06:37:27 -194555.226963] SLOW spr round 16 (radius: 5)
[06:39:49 -194554.481508] SLOW spr round 17 (radius: 5)
[06:41:56 -194554.480447] SLOW spr round 18 (radius: 10)
[06:44:00 -194554.480406] SLOW spr round 19 (radius: 15)
[06:47:09 -194554.480404] SLOW spr round 20 (radius: 20)
[06:51:58 -194554.480403] SLOW spr round 21 (radius: 25)
[06:58:16 -194554.480403] Model parameter optimization (eps = 0.100000)

[06:58:31] ML tree search #9, logLikelihood: -194553.650911

[06:58:31 -584364.626415] Initial branch length optimization
[06:58:34 -477610.095167] Model parameter optimization (eps = 10.000000)
[06:59:08 -477324.566531] AUTODETECT spr round 1 (radius: 5)
[07:01:00 -364255.165925] AUTODETECT spr round 2 (radius: 10)
[07:03:07 -284426.706479] AUTODETECT spr round 3 (radius: 15)
[07:05:34 -231533.137894] AUTODETECT spr round 4 (radius: 20)
[07:08:11 -217828.502545] AUTODETECT spr round 5 (radius: 25)
[07:10:55 -216647.597279] SPR radius for FAST iterations: 25 (autodetect)
[07:10:55 -216647.597279] Model parameter optimization (eps = 3.000000)
[07:11:35 -215763.212448] FAST spr round 1 (radius: 25)
[07:14:34 -195466.372739] FAST spr round 2 (radius: 25)
[07:16:56 -194753.549548] FAST spr round 3 (radius: 25)
[07:18:54 -194647.296968] FAST spr round 4 (radius: 25)
[07:20:37 -194642.015856] FAST spr round 5 (radius: 25)
[07:22:12 -194642.015723] Model parameter optimization (eps = 1.000000)
[07:22:31 -194633.253996] SLOW spr round 1 (radius: 5)
[07:24:36 -194595.429400] SLOW spr round 2 (radius: 5)
[07:26:37 -194592.150109] SLOW spr round 3 (radius: 5)
[07:28:34 -194588.183219] SLOW spr round 4 (radius: 5)
[07:30:29 -194587.640403] SLOW spr round 5 (radius: 5)
[07:32:24 -194583.195043] SLOW spr round 6 (radius: 5)
[07:34:17 -194583.194982] SLOW spr round 7 (radius: 10)
[07:36:17 -194580.423184] SLOW spr round 8 (radius: 5)
[07:38:34 -194580.422349] SLOW spr round 9 (radius: 10)
[07:40:51 -194576.435972] SLOW spr round 10 (radius: 5)
[07:43:05 -194575.703916] SLOW spr round 11 (radius: 5)
[07:45:07 -194575.703835] SLOW spr round 12 (radius: 10)
[07:47:12 -194574.771087] SLOW spr round 13 (radius: 5)
[07:49:33 -194560.093815] SLOW spr round 14 (radius: 5)
[07:51:40 -194555.886793] SLOW spr round 15 (radius: 5)
[07:53:38 -194555.886033] SLOW spr round 16 (radius: 10)
[07:55:38 -194555.395305] SLOW spr round 17 (radius: 5)
[07:57:54 -194553.969916] SLOW spr round 18 (radius: 5)
[07:59:59 -194549.565672] SLOW spr round 19 (radius: 5)
[08:01:57 -194549.565435] SLOW spr round 20 (radius: 10)
[08:03:58 -194549.130421] SLOW spr round 21 (radius: 5)
[08:06:18 -194546.632683] SLOW spr round 22 (radius: 5)
[08:08:22 -194546.370962] SLOW spr round 23 (radius: 5)
[08:10:20 -194546.370704] SLOW spr round 24 (radius: 10)
[08:12:20 -194546.370666] SLOW spr round 25 (radius: 15)
[08:15:35 -194546.010793] SLOW spr round 26 (radius: 5)
[08:17:56 -194546.010717] SLOW spr round 27 (radius: 10)
[08:20:12 -194545.979592] SLOW spr round 28 (radius: 15)
[08:23:16 -194545.978671] SLOW spr round 29 (radius: 20)
[08:28:08 -194545.978662] SLOW spr round 30 (radius: 25)
[08:34:13 -194545.978662] Model parameter optimization (eps = 0.100000)

[08:34:23] ML tree search #10, logLikelihood: -194545.668342

[08:34:23 -586103.162273] Initial branch length optimization
[08:34:26 -479959.362199] Model parameter optimization (eps = 10.000000)
[08:34:55 -479745.449922] AUTODETECT spr round 1 (radius: 5)
[08:36:49 -363011.415257] AUTODETECT spr round 2 (radius: 10)
[08:38:56 -282118.142580] AUTODETECT spr round 3 (radius: 15)
[08:41:25 -235787.367946] AUTODETECT spr round 4 (radius: 20)
[08:44:22 -217949.166293] AUTODETECT spr round 5 (radius: 25)
[08:47:10 -216458.057690] SPR radius for FAST iterations: 25 (autodetect)
[08:47:10 -216458.057690] Model parameter optimization (eps = 3.000000)
[08:47:18 -216431.935886] FAST spr round 1 (radius: 25)
[08:50:04 -196232.829628] FAST spr round 2 (radius: 25)
[08:52:22 -195350.309113] FAST spr round 3 (radius: 25)
[08:54:22 -195280.506792] FAST spr round 4 (radius: 25)
[08:56:07 -195271.991385] FAST spr round 5 (radius: 25)
[08:57:43 -195271.988883] Model parameter optimization (eps = 1.000000)
[08:58:26 -194700.077034] SLOW spr round 1 (radius: 5)
[09:00:31 -194622.628480] SLOW spr round 2 (radius: 5)
[09:02:32 -194606.921134] SLOW spr round 3 (radius: 5)
[09:04:30 -194605.190388] SLOW spr round 4 (radius: 5)
[09:06:23 -194605.189800] SLOW spr round 5 (radius: 10)
[09:08:23 -194600.470360] SLOW spr round 6 (radius: 5)
[09:10:40 -194596.170524] SLOW spr round 7 (radius: 5)
[09:12:43 -194595.678559] SLOW spr round 8 (radius: 5)
[09:14:40 -194595.678557] SLOW spr round 9 (radius: 10)
[09:16:41 -194595.635926] SLOW spr round 10 (radius: 15)
[09:20:00 -194592.221349] SLOW spr round 11 (radius: 5)
[09:22:22 -194589.826115] SLOW spr round 12 (radius: 5)
[09:24:31 -194588.625482] SLOW spr round 13 (radius: 5)
[09:26:33 -194582.503924] SLOW spr round 14 (radius: 5)
[09:28:31 -194581.500065] SLOW spr round 15 (radius: 5)
[09:30:25 -194581.421789] SLOW spr round 16 (radius: 10)
[09:32:26 -194580.525738] SLOW spr round 17 (radius: 5)
[09:34:43 -194579.807901] SLOW spr round 18 (radius: 5)
[09:36:46 -194579.807722] SLOW spr round 19 (radius: 10)
[09:38:52 -194579.807720] SLOW spr round 20 (radius: 15)
[09:42:06 -194579.807720] SLOW spr round 21 (radius: 20)
[09:47:07 -194579.807720] SLOW spr round 22 (radius: 25)
[09:54:10 -194579.807720] Model parameter optimization (eps = 0.100000)

[09:54:22] ML tree search #11, logLikelihood: -194578.650566

[09:54:22 -583237.720452] Initial branch length optimization
[09:54:25 -478662.746177] Model parameter optimization (eps = 10.000000)
[09:54:52 -478477.638471] AUTODETECT spr round 1 (radius: 5)
[09:56:46 -357117.307035] AUTODETECT spr round 2 (radius: 10)
[09:59:01 -279708.372214] AUTODETECT spr round 3 (radius: 15)
[10:01:22 -244298.592557] AUTODETECT spr round 4 (radius: 20)
[10:04:09 -223403.285484] AUTODETECT spr round 5 (radius: 25)
[10:07:01 -217250.607641] SPR radius for FAST iterations: 25 (autodetect)
[10:07:01 -217250.607641] Model parameter optimization (eps = 3.000000)
[10:07:15 -217225.527738] FAST spr round 1 (radius: 25)
[10:10:19 -196592.901488] FAST spr round 2 (radius: 25)
[10:12:39 -195397.779045] FAST spr round 3 (radius: 25)
[10:14:36 -195266.354987] FAST spr round 4 (radius: 25)
[10:16:19 -195259.716105] FAST spr round 5 (radius: 25)
[10:17:56 -195258.784980] FAST spr round 6 (radius: 25)
[10:19:32 -195258.784242] Model parameter optimization (eps = 1.000000)
[10:20:12 -194684.305997] SLOW spr round 1 (radius: 5)
[10:22:17 -194613.528122] SLOW spr round 2 (radius: 5)
[10:24:20 -194597.610938] SLOW spr round 3 (radius: 5)
[10:26:18 -194595.151919] SLOW spr round 4 (radius: 5)
[10:28:13 -194595.149127] SLOW spr round 5 (radius: 10)
[10:30:13 -194591.074774] SLOW spr round 6 (radius: 5)
[10:32:34 -194582.854442] SLOW spr round 7 (radius: 5)
[10:34:40 -194578.154458] SLOW spr round 8 (radius: 5)
[10:36:38 -194578.154293] SLOW spr round 9 (radius: 10)
[10:38:39 -194577.647387] SLOW spr round 10 (radius: 5)
[10:40:55 -194577.646045] SLOW spr round 11 (radius: 10)
[10:43:09 -194577.646006] SLOW spr round 12 (radius: 15)
[10:46:18 -194577.646005] SLOW spr round 13 (radius: 20)
[10:51:19 -194577.646005] SLOW spr round 14 (radius: 25)
[10:57:50 -194577.646005] Model parameter optimization (eps = 0.100000)

[10:58:03] ML tree search #12, logLikelihood: -194577.100973

[10:58:03 -582956.341933] Initial branch length optimization
[10:58:06 -477598.002362] Model parameter optimization (eps = 10.000000)
[10:58:37 -477386.701936] AUTODETECT spr round 1 (radius: 5)
[11:00:33 -357791.803641] AUTODETECT spr round 2 (radius: 10)
[11:02:43 -275895.350278] AUTODETECT spr round 3 (radius: 15)
[11:05:11 -230383.611428] AUTODETECT spr round 4 (radius: 20)
[11:07:58 -218120.542620] AUTODETECT spr round 5 (radius: 25)
[11:10:44 -214923.379574] SPR radius for FAST iterations: 25 (autodetect)
[11:10:44 -214923.379574] Model parameter optimization (eps = 3.000000)
[11:11:21 -214262.435736] FAST spr round 1 (radius: 25)
[11:14:00 -195408.659529] FAST spr round 2 (radius: 25)
[11:16:21 -194724.867230] FAST spr round 3 (radius: 25)
[11:18:18 -194641.724254] FAST spr round 4 (radius: 25)
[11:20:02 -194634.225047] FAST spr round 5 (radius: 25)
[11:21:39 -194634.224049] Model parameter optimization (eps = 1.000000)
[11:21:55 -194630.443752] SLOW spr round 1 (radius: 5)
[11:24:00 -194569.519401] SLOW spr round 2 (radius: 5)
[11:26:02 -194555.674329] SLOW spr round 3 (radius: 5)
[11:27:59 -194555.673981] SLOW spr round 4 (radius: 10)
[11:30:02 -194551.118250] SLOW spr round 5 (radius: 5)
[11:32:25 -194547.272374] SLOW spr round 6 (radius: 5)
[11:34:32 -194546.742546] SLOW spr round 7 (radius: 5)
[11:36:31 -194546.741996] SLOW spr round 8 (radius: 10)
[11:38:33 -194546.291203] SLOW spr round 9 (radius: 5)
[11:40:50 -194546.279257] SLOW spr round 10 (radius: 10)
[11:43:04 -194546.277623] SLOW spr round 11 (radius: 15)
[11:46:19 -194546.277389] SLOW spr round 12 (radius: 20)
[11:51:46 -194546.277364] SLOW spr round 13 (radius: 25)
[11:58:48 -194546.277362] Model parameter optimization (eps = 0.100000)

[11:58:56] ML tree search #13, logLikelihood: -194546.160554

[11:58:56 -581961.848648] Initial branch length optimization
[11:58:59 -474030.457350] Model parameter optimization (eps = 10.000000)
[11:59:23 -473852.364539] AUTODETECT spr round 1 (radius: 5)
[12:01:18 -355960.068893] AUTODETECT spr round 2 (radius: 10)
[12:03:28 -280122.848094] AUTODETECT spr round 3 (radius: 15)
[12:05:49 -241025.209682] AUTODETECT spr round 4 (radius: 20)
[12:08:47 -217818.267982] AUTODETECT spr round 5 (radius: 25)
[12:11:47 -214519.360225] SPR radius for FAST iterations: 25 (autodetect)
[12:11:47 -214519.360225] Model parameter optimization (eps = 3.000000)
[12:12:20 -213924.710342] FAST spr round 1 (radius: 25)
[12:15:11 -195316.890425] FAST spr round 2 (radius: 25)
[12:17:34 -194727.713545] FAST spr round 3 (radius: 25)
[12:19:33 -194664.473582] FAST spr round 4 (radius: 25)
[12:21:19 -194653.046835] FAST spr round 5 (radius: 25)
[12:23:00 -194637.755436] FAST spr round 6 (radius: 25)
[12:24:36 -194634.884730] FAST spr round 7 (radius: 25)
[12:26:11 -194633.982100] FAST spr round 8 (radius: 25)
[12:27:45 -194633.982076] Model parameter optimization (eps = 1.000000)
[12:28:10 -194622.771283] SLOW spr round 1 (radius: 5)
[12:30:14 -194566.881206] SLOW spr round 2 (radius: 5)
[12:32:13 -194556.258828] SLOW spr round 3 (radius: 5)
[12:34:10 -194554.789284] SLOW spr round 4 (radius: 5)
[12:36:06 -194554.789171] SLOW spr round 5 (radius: 10)
[12:38:05 -194553.827507] SLOW spr round 6 (radius: 5)
[12:40:23 -194553.827390] SLOW spr round 7 (radius: 10)
[12:42:36 -194553.827388] SLOW spr round 8 (radius: 15)
[12:45:44 -194553.827388] SLOW spr round 9 (radius: 20)
[12:50:41 -194553.827388] SLOW spr round 10 (radius: 25)
[12:57:09 -194553.827388] Model parameter optimization (eps = 0.100000)

[12:57:17] ML tree search #14, logLikelihood: -194553.697808

[12:57:17 -588564.219185] Initial branch length optimization
[12:57:20 -480234.192866] Model parameter optimization (eps = 10.000000)
[12:57:59 -479989.719428] AUTODETECT spr round 1 (radius: 5)
[12:59:55 -365603.774790] AUTODETECT spr round 2 (radius: 10)
[13:02:06 -283880.578388] AUTODETECT spr round 3 (radius: 15)
[13:04:27 -239744.584574] AUTODETECT spr round 4 (radius: 20)
[13:07:08 -217546.258646] AUTODETECT spr round 5 (radius: 25)
[13:10:05 -215348.000709] SPR radius for FAST iterations: 25 (autodetect)
[13:10:05 -215348.000709] Model parameter optimization (eps = 3.000000)
[13:10:43 -214550.797387] FAST spr round 1 (radius: 25)
[13:13:32 -195402.051451] FAST spr round 2 (radius: 25)
[13:15:52 -194778.457502] FAST spr round 3 (radius: 25)
[13:17:50 -194671.474271] FAST spr round 4 (radius: 25)
[13:19:34 -194656.158274] FAST spr round 5 (radius: 25)
[13:21:11 -194656.157838] Model parameter optimization (eps = 1.000000)
[13:21:31 -194643.495206] SLOW spr round 1 (radius: 5)
[13:23:40 -194605.281194] SLOW spr round 2 (radius: 5)
[13:25:39 -194601.663024] SLOW spr round 3 (radius: 5)
[13:27:40 -194581.149884] SLOW spr round 4 (radius: 5)
[13:29:38 -194579.018612] SLOW spr round 5 (radius: 5)
[13:31:33 -194579.017924] SLOW spr round 6 (radius: 10)
[13:33:34 -194574.086994] SLOW spr round 7 (radius: 5)
[13:35:51 -194574.085604] SLOW spr round 8 (radius: 10)
[13:38:04 -194573.314287] SLOW spr round 9 (radius: 5)
[13:40:19 -194573.313555] SLOW spr round 10 (radius: 10)
[13:42:28 -194571.754183] SLOW spr round 11 (radius: 5)
[13:44:46 -194566.799777] SLOW spr round 12 (radius: 5)
[13:46:50 -194566.605165] SLOW spr round 13 (radius: 5)
[13:48:48 -194566.604801] SLOW spr round 14 (radius: 10)
[13:50:49 -194564.932055] SLOW spr round 15 (radius: 5)
[13:53:06 -194564.609545] SLOW spr round 16 (radius: 5)
[13:55:11 -194564.608929] SLOW spr round 17 (radius: 10)
[13:57:14 -194564.608867] SLOW spr round 18 (radius: 15)
[14:00:32 -194564.165604] SLOW spr round 19 (radius: 5)
[14:02:56 -194563.558963] SLOW spr round 20 (radius: 5)
[14:05:03 -194563.558614] SLOW spr round 21 (radius: 10)
[14:07:08 -194563.558599] SLOW spr round 22 (radius: 15)
[14:10:25 -194563.558598] SLOW spr round 23 (radius: 20)
[14:15:45 -194563.558598] SLOW spr round 24 (radius: 25)
[14:22:49 -194563.558598] Model parameter optimization (eps = 0.100000)

[14:23:05] ML tree search #15, logLikelihood: -194563.242259

[14:23:05 -584487.291052] Initial branch length optimization
[14:23:08 -478743.388043] Model parameter optimization (eps = 10.000000)
[14:23:41 -478518.449582] AUTODETECT spr round 1 (radius: 5)
[14:25:34 -359758.177277] AUTODETECT spr round 2 (radius: 10)
[14:27:44 -282584.163765] AUTODETECT spr round 3 (radius: 15)
[14:30:02 -243745.619540] AUTODETECT spr round 4 (radius: 20)
[14:33:05 -224058.188120] AUTODETECT spr round 5 (radius: 25)
[14:35:51 -217919.936274] SPR radius for FAST iterations: 25 (autodetect)
[14:35:51 -217919.936274] Model parameter optimization (eps = 3.000000)
[14:36:30 -217230.530896] FAST spr round 1 (radius: 25)
[14:39:31 -195483.943617] FAST spr round 2 (radius: 25)
[14:41:49 -194725.284107] FAST spr round 3 (radius: 25)
[14:43:43 -194673.495961] FAST spr round 4 (radius: 25)
[14:45:29 -194652.727760] FAST spr round 5 (radius: 25)
[14:47:07 -194648.573392] FAST spr round 6 (radius: 25)
[14:48:43 -194638.822402] FAST spr round 7 (radius: 25)
[14:50:16 -194638.822264] Model parameter optimization (eps = 1.000000)
[14:50:33 -194627.382686] SLOW spr round 1 (radius: 5)
[14:52:37 -194588.712371] SLOW spr round 2 (radius: 5)
[14:54:38 -194580.132451] SLOW spr round 3 (radius: 5)
[14:56:36 -194577.245452] SLOW spr round 4 (radius: 5)
[14:58:31 -194577.245371] SLOW spr round 5 (radius: 10)
[15:00:33 -194573.934228] SLOW spr round 6 (radius: 5)
[15:02:52 -194571.747876] SLOW spr round 7 (radius: 5)
[15:04:55 -194571.746559] SLOW spr round 8 (radius: 10)
[15:07:01 -194571.746443] SLOW spr round 9 (radius: 15)
[15:10:16 -194569.579471] SLOW spr round 10 (radius: 5)
[15:12:41 -194568.492750] SLOW spr round 11 (radius: 5)
[15:14:48 -194568.465555] SLOW spr round 12 (radius: 10)
[15:16:55 -194568.465239] SLOW spr round 13 (radius: 15)
[15:20:06 -194568.465223] SLOW spr round 14 (radius: 20)
[15:25:13 -194568.465223] SLOW spr round 15 (radius: 25)
[15:32:07 -194568.465223] Model parameter optimization (eps = 0.100000)

[15:32:13] ML tree search #16, logLikelihood: -194568.322361

[15:32:13 -585376.256001] Initial branch length optimization
[15:32:17 -479833.050930] Model parameter optimization (eps = 10.000000)
[15:32:50 -479632.167852] AUTODETECT spr round 1 (radius: 5)
[15:34:45 -354305.385396] AUTODETECT spr round 2 (radius: 10)
[15:36:55 -273336.225449] AUTODETECT spr round 3 (radius: 15)
[15:39:17 -226865.519625] AUTODETECT spr round 4 (radius: 20)
[15:41:42 -214730.481903] AUTODETECT spr round 5 (radius: 25)
[15:44:43 -213289.585726] SPR radius for FAST iterations: 25 (autodetect)
[15:44:43 -213289.585726] Model parameter optimization (eps = 3.000000)
[15:45:19 -212669.691046] FAST spr round 1 (radius: 25)
[15:48:13 -195620.340460] FAST spr round 2 (radius: 25)
[15:50:33 -194775.285110] FAST spr round 3 (radius: 25)
[15:52:30 -194673.636603] FAST spr round 4 (radius: 25)
[15:54:13 -194657.294348] FAST spr round 5 (radius: 25)
[15:55:50 -194653.593001] FAST spr round 6 (radius: 25)
[15:57:24 -194650.012958] FAST spr round 7 (radius: 25)
[15:58:58 -194649.773995] FAST spr round 8 (radius: 25)
[16:00:30 -194649.773205] Model parameter optimization (eps = 1.000000)
[16:00:48 -194643.647508] SLOW spr round 1 (radius: 5)
[16:02:53 -194591.380799] SLOW spr round 2 (radius: 5)
[16:04:52 -194584.778035] SLOW spr round 3 (radius: 5)
[16:06:50 -194581.702552] SLOW spr round 4 (radius: 5)
[16:08:49 -194578.219042] SLOW spr round 5 (radius: 5)
[16:10:44 -194577.818879] SLOW spr round 6 (radius: 5)
[16:12:38 -194577.818535] SLOW spr round 7 (radius: 10)
[16:14:37 -194577.818522] SLOW spr round 8 (radius: 15)
[16:18:04 -194577.818521] SLOW spr round 9 (radius: 20)
[16:23:11 -194577.818520] SLOW spr round 10 (radius: 25)
[16:29:51 -194577.818520] Model parameter optimization (eps = 0.100000)

[16:30:00] ML tree search #17, logLikelihood: -194577.409070

[16:30:00 -585695.644002] Initial branch length optimization
[16:30:03 -479107.947038] Model parameter optimization (eps = 10.000000)
[16:30:50 -478831.302170] AUTODETECT spr round 1 (radius: 5)
[16:32:42 -363309.520804] AUTODETECT spr round 2 (radius: 10)
[16:34:50 -271864.789652] AUTODETECT spr round 3 (radius: 15)
[16:37:09 -232294.976275] AUTODETECT spr round 4 (radius: 20)
[16:39:59 -216651.037947] AUTODETECT spr round 5 (radius: 25)
[16:43:19 -215778.749329] SPR radius for FAST iterations: 25 (autodetect)
[16:43:19 -215778.749329] Model parameter optimization (eps = 3.000000)
[16:44:02 -214855.881420] FAST spr round 1 (radius: 25)
[16:47:11 -195571.614265] FAST spr round 2 (radius: 25)
[16:49:30 -194775.260596] FAST spr round 3 (radius: 25)
[16:51:29 -194672.403557] FAST spr round 4 (radius: 25)
[16:53:13 -194658.003747] FAST spr round 5 (radius: 25)
[16:54:50 -194656.076144] FAST spr round 6 (radius: 25)
[16:56:25 -194653.169319] FAST spr round 7 (radius: 25)
[16:57:59 -194652.506772] FAST spr round 8 (radius: 25)
[16:59:32 -194652.506602] Model parameter optimization (eps = 1.000000)
[16:59:45 -194648.387798] SLOW spr round 1 (radius: 5)
[17:01:50 -194602.851412] SLOW spr round 2 (radius: 5)
[17:03:54 -194589.736302] SLOW spr round 3 (radius: 5)
[17:05:52 -194587.741861] SLOW spr round 4 (radius: 5)
[17:07:49 -194587.735618] SLOW spr round 5 (radius: 10)
[17:09:52 -194580.255704] SLOW spr round 6 (radius: 5)
[17:12:17 -194567.781293] SLOW spr round 7 (radius: 5)
[17:14:23 -194565.909883] SLOW spr round 8 (radius: 5)
[17:16:21 -194565.906753] SLOW spr round 9 (radius: 10)
[17:18:23 -194565.906272] SLOW spr round 10 (radius: 15)
[17:21:47 -194565.906199] SLOW spr round 11 (radius: 20)
[17:26:51 -194565.906187] SLOW spr round 12 (radius: 25)
[17:33:33 -194565.906185] Model parameter optimization (eps = 0.100000)

[17:33:40] ML tree search #18, logLikelihood: -194565.374433

[17:33:40 -586363.894874] Initial branch length optimization
[17:33:43 -479986.531917] Model parameter optimization (eps = 10.000000)
[17:34:36 -479712.667777] AUTODETECT spr round 1 (radius: 5)
[17:36:30 -359670.050739] AUTODETECT spr round 2 (radius: 10)
[17:38:37 -278979.961987] AUTODETECT spr round 3 (radius: 15)
[17:41:05 -230554.974062] AUTODETECT spr round 4 (radius: 20)
[17:43:49 -219758.469731] AUTODETECT spr round 5 (radius: 25)
[17:47:09 -216910.392938] SPR radius for FAST iterations: 25 (autodetect)
[17:47:09 -216910.392938] Model parameter optimization (eps = 3.000000)
[17:47:48 -216000.993356] FAST spr round 1 (radius: 25)
[17:50:49 -195424.965357] FAST spr round 2 (radius: 25)
[17:53:13 -194695.938179] FAST spr round 3 (radius: 25)
[17:55:14 -194643.534797] FAST spr round 4 (radius: 25)
[17:57:03 -194625.945228] FAST spr round 5 (radius: 25)
[17:58:39 -194619.797859] FAST spr round 6 (radius: 25)
[18:00:14 -194618.026176] FAST spr round 7 (radius: 25)
[18:01:46 -194618.025053] Model parameter optimization (eps = 1.000000)
[18:02:00 -194606.414623] SLOW spr round 1 (radius: 5)
[18:04:04 -194573.895796] SLOW spr round 2 (radius: 5)
[18:06:05 -194564.055920] SLOW spr round 3 (radius: 5)
[18:08:01 -194564.055332] SLOW spr round 4 (radius: 10)
[18:09:59 -194562.494133] SLOW spr round 5 (radius: 5)
[18:12:19 -194556.463168] SLOW spr round 6 (radius: 5)
[18:14:23 -194556.462837] SLOW spr round 7 (radius: 10)
[18:16:26 -194556.462831] SLOW spr round 8 (radius: 15)
[18:19:43 -194554.563243] SLOW spr round 9 (radius: 5)
[18:22:06 -194551.706141] SLOW spr round 10 (radius: 5)
[18:24:15 -194549.769664] SLOW spr round 11 (radius: 5)
[18:26:15 -194548.674886] SLOW spr round 12 (radius: 5)
[18:28:12 -194548.674885] SLOW spr round 13 (radius: 10)
[18:30:12 -194548.674885] SLOW spr round 14 (radius: 15)
[18:33:36 -194548.674885] SLOW spr round 15 (radius: 20)
[18:38:32 -194548.674885] SLOW spr round 16 (radius: 25)
[18:45:03 -194548.674885] Model parameter optimization (eps = 0.100000)

[18:45:09] ML tree search #19, logLikelihood: -194548.647392

[18:45:09 -585737.507222] Initial branch length optimization
[18:45:12 -477785.567393] Model parameter optimization (eps = 10.000000)
[18:45:41 -477347.524343] AUTODETECT spr round 1 (radius: 5)
[18:47:34 -361818.389857] AUTODETECT spr round 2 (radius: 10)
[18:49:43 -280383.819481] AUTODETECT spr round 3 (radius: 15)
[18:52:10 -239645.752760] AUTODETECT spr round 4 (radius: 20)
[18:55:01 -221018.745026] AUTODETECT spr round 5 (radius: 25)
[18:58:13 -215609.487309] SPR radius for FAST iterations: 25 (autodetect)
[18:58:13 -215609.487309] Model parameter optimization (eps = 3.000000)
[18:58:48 -214818.872987] FAST spr round 1 (radius: 25)
[19:01:38 -195542.888427] FAST spr round 2 (radius: 25)
[19:03:52 -194736.896765] FAST spr round 3 (radius: 25)
[19:05:46 -194689.266141] FAST spr round 4 (radius: 25)
[19:07:30 -194676.606621] FAST spr round 5 (radius: 25)
[19:09:07 -194675.187852] FAST spr round 6 (radius: 25)
[19:10:41 -194673.167911] FAST spr round 7 (radius: 25)
[19:12:13 -194673.167882] Model parameter optimization (eps = 1.000000)
[19:12:31 -194663.904880] SLOW spr round 1 (radius: 5)
[19:14:32 -194620.467448] SLOW spr round 2 (radius: 5)
[19:16:32 -194598.160537] SLOW spr round 3 (radius: 5)
[19:18:29 -194594.854151] SLOW spr round 4 (radius: 5)
[19:20:23 -194593.508424] SLOW spr round 5 (radius: 5)
[19:22:16 -194593.508123] SLOW spr round 6 (radius: 10)
[19:24:18 -194591.138595] SLOW spr round 7 (radius: 5)
[19:26:38 -194588.141907] SLOW spr round 8 (radius: 5)
[19:28:42 -194586.625668] SLOW spr round 9 (radius: 5)
[19:30:39 -194586.625199] SLOW spr round 10 (radius: 10)
[19:32:40 -194586.364490] SLOW spr round 11 (radius: 5)
[19:34:56 -194585.023360] SLOW spr round 12 (radius: 5)
[19:36:59 -194585.023170] SLOW spr round 13 (radius: 10)
[19:39:04 -194585.023163] SLOW spr round 14 (radius: 15)
[19:42:17 -194584.272828] SLOW spr round 15 (radius: 5)
[19:44:39 -194582.662762] SLOW spr round 16 (radius: 5)
[19:46:45 -194582.662761] SLOW spr round 17 (radius: 10)
[19:48:50 -194582.662761] SLOW spr round 18 (radius: 15)
[19:52:02 -194582.662761] SLOW spr round 19 (radius: 20)
[19:57:05 -194582.662761] SLOW spr round 20 (radius: 25)
[20:03:31 -194582.662761] Model parameter optimization (eps = 0.100000)

[20:03:37] ML tree search #20, logLikelihood: -194582.590410


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.098899,0.274747) (0.064859,0.351732) (0.489676,0.894919) (0.346565,1.476760) 
   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: -194543.602318

AIC score: 393097.204635 / AICc score: 8437157.204635 / BIC score: 401827.716567
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=575).
         This might lead to overfitting and compromise tree inference results!


Best ML tree saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8NCF0/3_mltree/Q8NCF0.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8NCF0/3_mltree/Q8NCF0.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8NCF0/3_mltree/Q8NCF0.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q8NCF0/3_mltree/Q8NCF0.raxml.log

Analysis started: 19-Jul-2021 17:28:20 / finished: 20-Jul-2021 13:31:57

Elapsed time: 72217.499 seconds (this run) / 88585.040 seconds (total with restarts)