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

System: Intel(R) Xeon(R) Gold 6148 CPU @ 2.40GHz, 40 cores, 376 GB RAM

RAxML-NG was called at 06-Jul-2021 00:14:39 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q11203/2_msa/Q11203_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q11203/3_mltree/Q11203 --seed 2 --threads 7 --tree rand{20} pars{20}

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

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q11203/2_msa/Q11203_trimmed_msa.fasta
[00:00:00] Loaded alignment with 851 taxa and 480 sites

WARNING: Sequences tr_M3YQD8_M3YQD8_MUSPF_9669 and tr_A0A2I2U8L2_A0A2I2U8L2_FELCA_9685 are exactly identical!
WARNING: Sequences tr_M3YQD8_M3YQD8_MUSPF_9669 and tr_A0A2Y9DC86_A0A2Y9DC86_TRIMA_127582 are exactly identical!
WARNING: Sequences tr_M3YQD8_M3YQD8_MUSPF_9669 and tr_A0A2Y9J1M2_A0A2Y9J1M2_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_M3YQD8_M3YQD8_MUSPF_9669 and tr_A0A384CSS7_A0A384CSS7_URSMA_29073 are exactly identical!
WARNING: Sequences tr_G3SDW7_G3SDW7_GORGO_9595 and tr_H2Q535_H2Q535_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A2J8R114_A0A2J8R114_PONAB_9601 and sp_Q9Y274_SIA10_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2J8R114_A0A2J8R114_PONAB_9601 and tr_G7NZ81_G7NZ81_MACFA_9541 are exactly identical!
WARNING: Sequences tr_A0A2I3S5I3_A0A2I3S5I3_PANTR_9598 and tr_A0A2R9C5E6_A0A2R9C5E6_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2J8LZP5_A0A2J8LZP5_PANTR_9598 and sp_P61132_SIAT6_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A2J8LZP5_A0A2J8LZP5_PANTR_9598 and sp_Q11203_SIAT6_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2J8LZP5_A0A2J8LZP5_PANTR_9598 and tr_G7NUX6_G7NUX6_MACFA_9541 are exactly identical!
WARNING: Sequences tr_A0A2J8LZP5_A0A2J8LZP5_PANTR_9598 and tr_A0A2K5P3Z2_A0A2K5P3Z2_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A2J8LZP5_A0A2J8LZP5_PANTR_9598 and tr_A0A2K6DPH9_A0A2K6DPH9_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A2J8LZP5_A0A2J8LZP5_PANTR_9598 and tr_A0A2K5YDH9_A0A2K5YDH9_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2J8LZP5_A0A2J8LZP5_PANTR_9598 and tr_A0A2R9C335_A0A2R9C335_PANPA_9597 are exactly identical!
WARNING: Sequences tr_K7B413_K7B413_PANTR_9598 and tr_A0A2R9CAF5_A0A2R9CAF5_PANPA_9597 are exactly identical!
WARNING: Sequences sp_Q6KB54_SIA10_PANTR_9598 and tr_A0A2R8Z6P2_A0A2R8Z6P2_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A1D5RE99_A0A1D5RE99_MACMU_9544 and tr_G7PD04_G7PD04_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F6TW24_F6TW24_MACMU_9544 and tr_A0A096N7D3_A0A096N7D3_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F6TW24_F6TW24_MACMU_9544 and tr_A0A2K5P6T2_A0A2K5P6T2_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F7A1D7_F7A1D7_MACMU_9544 and tr_G7PMN0_G7PMN0_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7A1D7_F7A1D7_MACMU_9544 and tr_A0A2I3N623_A0A2I3N623_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F7A1D7_F7A1D7_MACMU_9544 and tr_A0A2K5ZHM5_A0A2K5ZHM5_MANLE_9568 are exactly identical!
WARNING: Sequences tr_H9FYK1_H9FYK1_MACMU_9544 and tr_A0A096MNC5_A0A096MNC5_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_H9FYK1_H9FYK1_MACMU_9544 and tr_A0A2K6CLM3_A0A2K6CLM3_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A096N896_A0A096N896_PAPAN_9555 and tr_A0A2K5ZHQ2_A0A2K5ZHQ2_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A091VD20_A0A091VD20_NIPNI_128390 and tr_A0A087RHI0_A0A087RHI0_APTFO_9233 are exactly identical!
WARNING: Sequences tr_A0A226NLF4_A0A226NLF4_CALSU_9009 and tr_A0A226PJ01_A0A226PJ01_COLVI_9014 are exactly identical!
WARNING: Sequences tr_A0A2D0QNQ7_A0A2D0QNQ7_ICTPU_7998 and tr_A0A2D0QRK9_A0A2D0QRK9_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0T888_A0A2D0T888_ICTPU_7998 and tr_A0A2D0T8B3_A0A2D0T8B3_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2K5L7V5_A0A2K5L7V5_CERAT_9531 and tr_A0A2K5YXI8_A0A2K5YXI8_MANLE_9568 are exactly identical!
WARNING: Duplicate sequences found: 31

NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) 
NOTE: was saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q11203/3_mltree/Q11203.raxml.reduced.phy

Alignment comprises 1 partitions and 480 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 480 / 480
Gaps: 38.13 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q11203/3_mltree/Q11203.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 851 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 69 / 5520
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -582493.380049] Initial branch length optimization
[00:00:03 -482152.145013] Model parameter optimization (eps = 10.000000)
[00:00:55 -481298.862880] AUTODETECT spr round 1 (radius: 5)
[00:02:05 -331819.995482] AUTODETECT spr round 2 (radius: 10)
[00:03:20 -262148.409393] AUTODETECT spr round 3 (radius: 15)
[00:04:49 -218475.995907] AUTODETECT spr round 4 (radius: 20)
[00:06:27 -201804.145353] AUTODETECT spr round 5 (radius: 25)
[00:08:26 -186583.105080] SPR radius for FAST iterations: 25 (autodetect)
[00:08:26 -186583.105080] Model parameter optimization (eps = 3.000000)
[00:08:39 -186379.377948] FAST spr round 1 (radius: 25)
[00:10:08 -158373.963252] FAST spr round 2 (radius: 25)
[00:11:22 -156968.817175] FAST spr round 3 (radius: 25)
[00:12:34 -156850.907068] FAST spr round 4 (radius: 25)
[00:13:39 -156847.497425] FAST spr round 5 (radius: 25)
[00:14:40 -156846.050269] FAST spr round 6 (radius: 25)
[00:15:39 -156846.049532] Model parameter optimization (eps = 1.000000)
[00:15:51 -156835.639029] SLOW spr round 1 (radius: 5)
[00:17:11 -156811.310658] SLOW spr round 2 (radius: 5)
[00:18:29 -156803.527572] SLOW spr round 3 (radius: 5)
[00:19:44 -156803.148840] SLOW spr round 4 (radius: 5)
[00:20:59 -156803.148651] SLOW spr round 5 (radius: 10)
[00:22:15 -156803.148559] SLOW spr round 6 (radius: 15)
[00:24:19 -156803.148491] SLOW spr round 7 (radius: 20)
[00:27:27 -156803.148434] SLOW spr round 8 (radius: 25)
[00:31:39 -156803.148386] Model parameter optimization (eps = 0.100000)

[00:31:47] ML tree search #1, logLikelihood: -156801.912942

[00:31:47 -583104.605573] Initial branch length optimization
[00:31:51 -478689.423179] Model parameter optimization (eps = 10.000000)
[00:32:39 -477917.434868] AUTODETECT spr round 1 (radius: 5)
[00:33:52 -337146.066965] AUTODETECT spr round 2 (radius: 10)
[00:35:11 -250684.882733] AUTODETECT spr round 3 (radius: 15)
[00:36:38 -212923.535768] AUTODETECT spr round 4 (radius: 20)
[00:38:11 -191905.820698] AUTODETECT spr round 5 (radius: 25)
[00:40:02 -183188.768279] SPR radius for FAST iterations: 25 (autodetect)
[00:40:02 -183188.768279] Model parameter optimization (eps = 3.000000)
[00:40:16 -182983.098756] FAST spr round 1 (radius: 25)
[00:41:49 -157738.141000] FAST spr round 2 (radius: 25)
[00:43:06 -156933.222562] FAST spr round 3 (radius: 25)
[00:44:18 -156844.723595] FAST spr round 4 (radius: 25)
[00:45:24 -156840.470290] FAST spr round 5 (radius: 25)
[00:46:27 -156836.372584] FAST spr round 6 (radius: 25)
[00:47:27 -156836.371647] Model parameter optimization (eps = 1.000000)
[00:47:41 -156832.084612] SLOW spr round 1 (radius: 5)
[00:49:00 -156805.858859] SLOW spr round 2 (radius: 5)
[00:50:19 -156798.017859] SLOW spr round 3 (radius: 5)
[00:51:35 -156796.295516] SLOW spr round 4 (radius: 5)
[00:52:49 -156796.295468] SLOW spr round 5 (radius: 10)
[00:54:06 -156796.295437] SLOW spr round 6 (radius: 15)
[00:56:07 -156796.295410] SLOW spr round 7 (radius: 20)
[00:59:06 -156796.295385] SLOW spr round 8 (radius: 25)
[01:03:15 -156796.295363] Model parameter optimization (eps = 0.100000)

[01:03:25] ML tree search #2, logLikelihood: -156795.979984

[01:03:25 -581373.469085] Initial branch length optimization
[01:03:29 -479639.795777] Model parameter optimization (eps = 10.000000)
[01:04:04 -478854.556398] AUTODETECT spr round 1 (radius: 5)
[01:05:19 -332630.525731] AUTODETECT spr round 2 (radius: 10)
[01:06:43 -238284.434068] AUTODETECT spr round 3 (radius: 15)
[01:08:11 -196975.000334] AUTODETECT spr round 4 (radius: 20)
[01:09:53 -183272.819420] AUTODETECT spr round 5 (radius: 25)
[01:12:19 -179302.303507] SPR radius for FAST iterations: 25 (autodetect)
[01:12:19 -179302.303507] Model parameter optimization (eps = 3.000000)
[01:12:36 -179104.277185] FAST spr round 1 (radius: 25)
[01:14:07 -158063.505253] FAST spr round 2 (radius: 25)
[01:15:22 -156934.051300] FAST spr round 3 (radius: 25)
[01:16:36 -156853.290040] FAST spr round 4 (radius: 25)
[01:17:41 -156826.704898] FAST spr round 5 (radius: 25)
[01:18:44 -156826.701284] Model parameter optimization (eps = 1.000000)
[01:18:58 -156823.736435] SLOW spr round 1 (radius: 5)
[01:20:19 -156802.234884] SLOW spr round 2 (radius: 5)
[01:21:37 -156801.595663] SLOW spr round 3 (radius: 5)
[01:22:55 -156800.491867] SLOW spr round 4 (radius: 5)
[01:24:11 -156800.491780] SLOW spr round 5 (radius: 10)
[01:25:28 -156800.491722] SLOW spr round 6 (radius: 15)
[01:27:30 -156800.491678] SLOW spr round 7 (radius: 20)
[01:30:28 -156800.491642] SLOW spr round 8 (radius: 25)
[01:34:31 -156800.491610] Model parameter optimization (eps = 0.100000)

[01:34:36] ML tree search #3, logLikelihood: -156800.460954

[01:34:36 -585055.711608] Initial branch length optimization
[01:34:39 -482339.569216] Model parameter optimization (eps = 10.000000)
[01:35:16 -481516.668180] AUTODETECT spr round 1 (radius: 5)
[01:36:30 -336880.843393] AUTODETECT spr round 2 (radius: 10)
[01:37:53 -251767.207039] AUTODETECT spr round 3 (radius: 15)
[01:39:23 -209104.226748] AUTODETECT spr round 4 (radius: 20)
[01:41:08 -191665.341527] AUTODETECT spr round 5 (radius: 25)
[01:43:23 -183144.513726] SPR radius for FAST iterations: 25 (autodetect)
[01:43:23 -183144.513726] Model parameter optimization (eps = 3.000000)
[01:43:43 -182884.817812] FAST spr round 1 (radius: 25)
[01:45:18 -158604.513078] FAST spr round 2 (radius: 25)
[01:46:37 -156993.746565] FAST spr round 3 (radius: 25)
[01:47:47 -156869.300392] FAST spr round 4 (radius: 25)
[01:48:52 -156849.779833] FAST spr round 5 (radius: 25)
[01:49:55 -156845.664042] FAST spr round 6 (radius: 25)
[01:50:56 -156845.664004] Model parameter optimization (eps = 1.000000)
[01:51:08 -156837.295185] SLOW spr round 1 (radius: 5)
[01:52:27 -156806.805744] SLOW spr round 2 (radius: 5)
[01:53:48 -156805.695794] SLOW spr round 3 (radius: 5)
[01:55:06 -156805.694625] SLOW spr round 4 (radius: 10)
[01:56:22 -156801.074557] SLOW spr round 5 (radius: 5)
[01:57:56 -156801.072881] SLOW spr round 6 (radius: 10)
[01:59:20 -156801.072321] SLOW spr round 7 (radius: 15)
[02:01:15 -156801.072072] SLOW spr round 8 (radius: 20)
[02:04:22 -156801.071920] SLOW spr round 9 (radius: 25)
[02:08:30 -156801.071806] Model parameter optimization (eps = 0.100000)

[02:08:37] ML tree search #4, logLikelihood: -156800.932083

[02:08:38 -585787.837948] Initial branch length optimization
[02:08:41 -481471.756874] Model parameter optimization (eps = 10.000000)
[02:09:25 -480657.349067] AUTODETECT spr round 1 (radius: 5)
[02:10:37 -334893.942654] AUTODETECT spr round 2 (radius: 10)
[02:11:57 -252677.914521] AUTODETECT spr round 3 (radius: 15)
[02:13:26 -218047.293649] AUTODETECT spr round 4 (radius: 20)
[02:15:14 -186046.077658] AUTODETECT spr round 5 (radius: 25)
[02:17:10 -180839.023693] SPR radius for FAST iterations: 25 (autodetect)
[02:17:10 -180839.023693] Model parameter optimization (eps = 3.000000)
[02:17:31 -180640.380862] FAST spr round 1 (radius: 25)
[02:19:09 -157776.890657] FAST spr round 2 (radius: 25)
[02:20:28 -156906.465456] FAST spr round 3 (radius: 25)
[02:21:40 -156857.909488] FAST spr round 4 (radius: 25)
[02:22:44 -156852.840798] FAST spr round 5 (radius: 25)
[02:23:45 -156852.839720] Model parameter optimization (eps = 1.000000)
[02:23:56 -156842.513495] SLOW spr round 1 (radius: 5)
[02:25:18 -156801.940054] SLOW spr round 2 (radius: 5)
[02:26:36 -156799.968132] SLOW spr round 3 (radius: 5)
[02:27:53 -156799.966959] SLOW spr round 4 (radius: 10)
[02:29:08 -156799.966781] SLOW spr round 5 (radius: 15)
[02:31:13 -156799.966681] SLOW spr round 6 (radius: 20)
[02:34:25 -156799.610324] SLOW spr round 7 (radius: 5)
[02:36:05 -156799.610164] SLOW spr round 8 (radius: 10)
[02:37:35 -156799.610114] SLOW spr round 9 (radius: 15)
[02:39:33 -156799.610074] SLOW spr round 10 (radius: 20)
[02:42:49 -156799.610038] SLOW spr round 11 (radius: 25)
[02:47:10 -156799.610006] Model parameter optimization (eps = 0.100000)

[02:47:17] ML tree search #5, logLikelihood: -156799.398517

[02:47:17 -581925.857439] Initial branch length optimization
[02:47:20 -481316.400516] Model parameter optimization (eps = 10.000000)
[02:48:09 -480269.263812] AUTODETECT spr round 1 (radius: 5)
[02:49:22 -331635.638141] AUTODETECT spr round 2 (radius: 10)
[02:50:41 -238661.094191] AUTODETECT spr round 3 (radius: 15)
[02:52:13 -200745.164568] AUTODETECT spr round 4 (radius: 20)
[02:53:45 -184528.410612] AUTODETECT spr round 5 (radius: 25)
[02:55:29 -180757.942002] SPR radius for FAST iterations: 25 (autodetect)
[02:55:29 -180757.942002] Model parameter optimization (eps = 3.000000)
[02:55:45 -180531.766017] FAST spr round 1 (radius: 25)
[02:57:18 -158250.281327] FAST spr round 2 (radius: 25)
[02:58:34 -156967.788078] FAST spr round 3 (radius: 25)
[02:59:44 -156877.124899] FAST spr round 4 (radius: 25)
[03:00:50 -156860.829462] FAST spr round 5 (radius: 25)
[03:01:52 -156860.828694] Model parameter optimization (eps = 1.000000)
[03:02:03 -156856.512051] SLOW spr round 1 (radius: 5)
[03:03:24 -156815.486566] SLOW spr round 2 (radius: 5)
[03:04:42 -156812.656950] SLOW spr round 3 (radius: 5)
[03:05:59 -156812.656878] SLOW spr round 4 (radius: 10)
[03:07:17 -156812.656832] SLOW spr round 5 (radius: 15)
[03:09:19 -156812.656799] SLOW spr round 6 (radius: 20)
[03:12:19 -156812.311514] SLOW spr round 7 (radius: 5)
[03:14:02 -156812.311433] SLOW spr round 8 (radius: 10)
[03:15:34 -156812.311407] SLOW spr round 9 (radius: 15)
[03:17:33 -156812.311384] SLOW spr round 10 (radius: 20)
[03:20:52 -156812.311363] SLOW spr round 11 (radius: 25)
[03:24:56 -156812.311343] Model parameter optimization (eps = 0.100000)

[03:25:03] ML tree search #6, logLikelihood: -156811.869081

[03:25:03 -584447.718645] Initial branch length optimization
[03:25:07 -482650.696317] Model parameter optimization (eps = 10.000000)
[03:25:48 -481560.161019] AUTODETECT spr round 1 (radius: 5)
[03:27:01 -341129.849982] AUTODETECT spr round 2 (radius: 10)
[03:28:19 -256753.810396] AUTODETECT spr round 3 (radius: 15)
[03:29:44 -217109.733853] AUTODETECT spr round 4 (radius: 20)
[03:31:24 -194129.025070] AUTODETECT spr round 5 (radius: 25)
[03:33:18 -181824.592971] SPR radius for FAST iterations: 25 (autodetect)
[03:33:18 -181824.592971] Model parameter optimization (eps = 3.000000)
[03:33:36 -181684.755463] FAST spr round 1 (radius: 25)
[03:35:12 -157886.833783] FAST spr round 2 (radius: 25)
[03:36:31 -156967.461137] FAST spr round 3 (radius: 25)
[03:37:41 -156856.816474] FAST spr round 4 (radius: 25)
[03:38:44 -156848.876428] FAST spr round 5 (radius: 25)
[03:39:46 -156848.875271] Model parameter optimization (eps = 1.000000)
[03:39:58 -156836.270215] SLOW spr round 1 (radius: 5)
[03:41:20 -156804.000780] SLOW spr round 2 (radius: 5)
[03:42:41 -156802.567037] SLOW spr round 3 (radius: 5)
[03:43:56 -156802.566185] SLOW spr round 4 (radius: 10)
[03:45:12 -156802.566108] SLOW spr round 5 (radius: 15)
[03:47:12 -156802.566085] SLOW spr round 6 (radius: 20)
[03:50:15 -156801.217107] SLOW spr round 7 (radius: 5)
[03:51:55 -156801.216053] SLOW spr round 8 (radius: 10)
[03:53:24 -156801.216030] SLOW spr round 9 (radius: 15)
[03:55:17 -156801.216013] SLOW spr round 10 (radius: 20)
[03:58:25 -156801.215996] SLOW spr round 11 (radius: 25)
[04:02:33 -156801.215979] Model parameter optimization (eps = 0.100000)

[04:02:37] ML tree search #7, logLikelihood: -156801.123314

[04:02:37 -585624.225973] Initial branch length optimization
[04:02:41 -485861.609875] Model parameter optimization (eps = 10.000000)
[04:03:13 -484742.693276] AUTODETECT spr round 1 (radius: 5)
[04:04:25 -324819.784102] AUTODETECT spr round 2 (radius: 10)
[04:05:44 -244899.608212] AUTODETECT spr round 3 (radius: 15)
[04:07:15 -207814.557797] AUTODETECT spr round 4 (radius: 20)
[04:09:01 -180156.186920] AUTODETECT spr round 5 (radius: 25)
[04:10:47 -175721.157708] SPR radius for FAST iterations: 25 (autodetect)
[04:10:47 -175721.157708] Model parameter optimization (eps = 3.000000)
[04:11:03 -175513.951977] FAST spr round 1 (radius: 25)
[04:12:37 -157732.419209] FAST spr round 2 (radius: 25)
[04:13:56 -156895.487131] FAST spr round 3 (radius: 25)
[04:15:07 -156839.932437] FAST spr round 4 (radius: 25)
[04:16:11 -156834.084877] FAST spr round 5 (radius: 25)
[04:17:12 -156834.083798] Model parameter optimization (eps = 1.000000)
[04:17:24 -156829.229757] SLOW spr round 1 (radius: 5)
[04:18:47 -156803.581656] SLOW spr round 2 (radius: 5)
[04:20:07 -156803.426388] SLOW spr round 3 (radius: 5)
[04:21:20 -156803.425876] SLOW spr round 4 (radius: 10)
[04:22:35 -156803.425656] SLOW spr round 5 (radius: 15)
[04:24:32 -156803.425558] SLOW spr round 6 (radius: 20)
[04:27:32 -156803.425508] SLOW spr round 7 (radius: 25)
[04:31:37 -156803.425478] Model parameter optimization (eps = 0.100000)

[04:31:41] ML tree search #8, logLikelihood: -156803.380585

[04:31:41 -584600.940036] Initial branch length optimization
[04:31:45 -483544.206631] Model parameter optimization (eps = 10.000000)
[04:32:19 -482705.164811] AUTODETECT spr round 1 (radius: 5)
[04:33:31 -352128.690388] AUTODETECT spr round 2 (radius: 10)
[04:34:50 -264102.957065] AUTODETECT spr round 3 (radius: 15)
[04:36:20 -213787.842046] AUTODETECT spr round 4 (radius: 20)
[04:38:02 -198484.578325] AUTODETECT spr round 5 (radius: 25)
[04:40:05 -185937.499453] SPR radius for FAST iterations: 25 (autodetect)
[04:40:05 -185937.499453] Model parameter optimization (eps = 3.000000)
[04:40:21 -185732.326078] FAST spr round 1 (radius: 25)
[04:41:56 -158298.823269] FAST spr round 2 (radius: 25)
[04:43:11 -157026.320474] FAST spr round 3 (radius: 25)
[04:44:21 -156853.805960] FAST spr round 4 (radius: 25)
[04:45:26 -156841.331970] FAST spr round 5 (radius: 25)
[04:46:28 -156841.331714] Model parameter optimization (eps = 1.000000)
[04:46:40 -156835.101909] SLOW spr round 1 (radius: 5)
[04:47:59 -156815.012435] SLOW spr round 2 (radius: 5)
[04:49:18 -156813.322050] SLOW spr round 3 (radius: 5)
[04:50:34 -156813.320528] SLOW spr round 4 (radius: 10)
[04:51:49 -156813.320023] SLOW spr round 5 (radius: 15)
[04:53:49 -156813.319783] SLOW spr round 6 (radius: 20)
[04:56:47 -156813.319650] SLOW spr round 7 (radius: 25)
[05:00:54 -156813.319564] Model parameter optimization (eps = 0.100000)

[05:00:59] ML tree search #9, logLikelihood: -156813.254090

[05:00:59 -583955.251709] Initial branch length optimization
[05:01:02 -482765.702612] Model parameter optimization (eps = 10.000000)
[05:01:46 -481851.529639] AUTODETECT spr round 1 (radius: 5)
[05:02:58 -332118.580117] AUTODETECT spr round 2 (radius: 10)
[05:04:18 -252717.162218] AUTODETECT spr round 3 (radius: 15)
[05:05:48 -200367.386732] AUTODETECT spr round 4 (radius: 20)
[05:07:25 -179275.683610] AUTODETECT spr round 5 (radius: 25)
[05:09:28 -177091.994403] SPR radius for FAST iterations: 25 (autodetect)
[05:09:28 -177091.994403] Model parameter optimization (eps = 3.000000)
[05:09:45 -176892.876131] FAST spr round 1 (radius: 25)
[05:11:21 -157640.534617] FAST spr round 2 (radius: 25)
[05:12:33 -156896.904202] FAST spr round 3 (radius: 25)
[05:13:41 -156859.972354] FAST spr round 4 (radius: 25)
[05:14:44 -156854.282228] FAST spr round 5 (radius: 25)
[05:15:47 -156851.652398] FAST spr round 6 (radius: 25)
[05:16:48 -156851.155757] FAST spr round 7 (radius: 25)
[05:17:53 -156851.155420] Model parameter optimization (eps = 1.000000)
[05:18:05 -156839.900894] SLOW spr round 1 (radius: 5)
[05:19:27 -156810.029298] SLOW spr round 2 (radius: 5)
[05:20:44 -156808.278476] SLOW spr round 3 (radius: 5)
[05:22:04 -156802.862610] SLOW spr round 4 (radius: 5)
[05:23:19 -156802.862296] SLOW spr round 5 (radius: 10)
[05:24:37 -156802.862097] SLOW spr round 6 (radius: 15)
[05:26:43 -156802.862009] SLOW spr round 7 (radius: 20)
[05:29:52 -156802.505106] SLOW spr round 8 (radius: 5)
[05:31:33 -156802.504992] SLOW spr round 9 (radius: 10)
[05:33:04 -156802.504941] SLOW spr round 10 (radius: 15)
[05:35:03 -156802.504898] SLOW spr round 11 (radius: 20)
[05:38:14 -156802.504860] SLOW spr round 12 (radius: 25)
[05:42:23 -156802.504827] Model parameter optimization (eps = 0.100000)

[05:42:31] ML tree search #10, logLikelihood: -156802.019924

[05:42:31 -583501.559602] Initial branch length optimization
[05:42:35 -484616.285594] Model parameter optimization (eps = 10.000000)
[05:43:12 -483609.151253] AUTODETECT spr round 1 (radius: 5)
[05:44:24 -332388.124633] AUTODETECT spr round 2 (radius: 10)
[05:45:43 -258911.444850] AUTODETECT spr round 3 (radius: 15)
[05:47:10 -224064.788341] AUTODETECT spr round 4 (radius: 20)
[05:48:48 -199845.089437] AUTODETECT spr round 5 (radius: 25)
[05:50:31 -185936.123299] SPR radius for FAST iterations: 25 (autodetect)
[05:50:31 -185936.123299] Model parameter optimization (eps = 3.000000)
[05:50:46 -185765.485435] FAST spr round 1 (radius: 25)
[05:52:26 -158128.072290] FAST spr round 2 (radius: 25)
[05:53:46 -157005.090039] FAST spr round 3 (radius: 25)
[05:54:59 -156889.204012] FAST spr round 4 (radius: 25)
[05:56:06 -156882.311094] FAST spr round 5 (radius: 25)
[05:57:09 -156882.288057] Model parameter optimization (eps = 1.000000)
[05:57:20 -156856.636752] SLOW spr round 1 (radius: 5)
[05:58:45 -156813.307393] SLOW spr round 2 (radius: 5)
[06:00:03 -156802.772050] SLOW spr round 3 (radius: 5)
[06:01:20 -156801.104045] SLOW spr round 4 (radius: 5)
[06:02:34 -156801.103927] SLOW spr round 5 (radius: 10)
[06:03:52 -156800.269271] SLOW spr round 6 (radius: 5)
[06:05:24 -156800.253654] SLOW spr round 7 (radius: 10)
[06:06:48 -156800.253565] SLOW spr round 8 (radius: 15)
[06:08:43 -156800.253509] SLOW spr round 9 (radius: 20)
[06:11:54 -156799.893227] SLOW spr round 10 (radius: 5)
[06:13:35 -156799.893132] SLOW spr round 11 (radius: 10)
[06:15:06 -156799.893092] SLOW spr round 12 (radius: 15)
[06:17:01 -156799.893058] SLOW spr round 13 (radius: 20)
[06:20:14 -156799.893027] SLOW spr round 14 (radius: 25)
[06:24:24 -156799.892999] Model parameter optimization (eps = 0.100000)

[06:24:29] ML tree search #11, logLikelihood: -156799.738244

[06:24:29 -582488.898574] Initial branch length optimization
[06:24:33 -482133.656239] Model parameter optimization (eps = 10.000000)
[06:25:07 -481119.496869] AUTODETECT spr round 1 (radius: 5)
[06:26:19 -331956.102778] AUTODETECT spr round 2 (radius: 10)
[06:27:38 -236902.476397] AUTODETECT spr round 3 (radius: 15)
[06:29:04 -203601.272359] AUTODETECT spr round 4 (radius: 20)
[06:30:45 -186914.221427] AUTODETECT spr round 5 (radius: 25)
[06:32:35 -180820.223899] SPR radius for FAST iterations: 25 (autodetect)
[06:32:35 -180820.223899] Model parameter optimization (eps = 3.000000)
[06:32:52 -180604.040048] FAST spr round 1 (radius: 25)
[06:34:25 -157969.638025] FAST spr round 2 (radius: 25)
[06:35:42 -156922.497930] FAST spr round 3 (radius: 25)
[06:36:52 -156854.542384] FAST spr round 4 (radius: 25)
[06:37:58 -156835.778265] FAST spr round 5 (radius: 25)
[06:39:02 -156835.776878] Model parameter optimization (eps = 1.000000)
[06:39:11 -156833.683393] SLOW spr round 1 (radius: 5)
[06:40:35 -156816.036850] SLOW spr round 2 (radius: 5)
[06:41:53 -156811.291087] SLOW spr round 3 (radius: 5)
[06:43:07 -156811.290863] SLOW spr round 4 (radius: 10)
[06:44:23 -156811.069418] SLOW spr round 5 (radius: 5)
[06:45:57 -156811.069282] SLOW spr round 6 (radius: 10)
[06:47:18 -156811.069237] SLOW spr round 7 (radius: 15)
[06:49:11 -156811.069197] SLOW spr round 8 (radius: 20)
[06:52:10 -156809.747208] SLOW spr round 9 (radius: 5)
[06:53:51 -156809.745981] SLOW spr round 10 (radius: 10)
[06:55:20 -156809.745950] SLOW spr round 11 (radius: 15)
[06:57:12 -156809.745925] SLOW spr round 12 (radius: 20)
[07:00:11 -156809.745903] SLOW spr round 13 (radius: 25)
[07:04:03 -156809.745882] Model parameter optimization (eps = 0.100000)

[07:04:08] ML tree search #12, logLikelihood: -156809.718173

[07:04:08 -585394.264349] Initial branch length optimization
[07:04:12 -482226.396451] Model parameter optimization (eps = 10.000000)
[07:04:52 -481141.328442] AUTODETECT spr round 1 (radius: 5)
[07:06:04 -327650.295207] AUTODETECT spr round 2 (radius: 10)
[07:07:20 -246469.829894] AUTODETECT spr round 3 (radius: 15)
[07:08:46 -214275.512730] AUTODETECT spr round 4 (radius: 20)
[07:10:31 -192897.030019] AUTODETECT spr round 5 (radius: 25)
[07:12:46 -186095.077735] SPR radius for FAST iterations: 25 (autodetect)
[07:12:46 -186095.077735] Model parameter optimization (eps = 3.000000)
[07:13:01 -185888.557253] FAST spr round 1 (radius: 25)
[07:14:34 -158301.605951] FAST spr round 2 (radius: 25)
[07:15:47 -156924.592210] FAST spr round 3 (radius: 25)
[07:16:55 -156843.502588] FAST spr round 4 (radius: 25)
[07:17:59 -156834.399499] FAST spr round 5 (radius: 25)
[07:19:02 -156832.219032] FAST spr round 6 (radius: 25)
[07:20:03 -156832.218639] Model parameter optimization (eps = 1.000000)
[07:20:14 -156824.910896] SLOW spr round 1 (radius: 5)
[07:21:34 -156801.622588] SLOW spr round 2 (radius: 5)
[07:22:50 -156799.520840] SLOW spr round 3 (radius: 5)
[07:24:04 -156799.519667] SLOW spr round 4 (radius: 10)
[07:25:19 -156799.518979] SLOW spr round 5 (radius: 15)
[07:27:17 -156799.518459] SLOW spr round 6 (radius: 20)
[07:30:20 -156799.518042] SLOW spr round 7 (radius: 25)
[07:34:29 -156799.517700] Model parameter optimization (eps = 0.100000)

[07:34:35] ML tree search #13, logLikelihood: -156799.363236

[07:34:36 -583640.753304] Initial branch length optimization
[07:34:40 -483559.293227] Model parameter optimization (eps = 10.000000)
[07:35:21 -482543.451761] AUTODETECT spr round 1 (radius: 5)
[07:36:35 -327389.427356] AUTODETECT spr round 2 (radius: 10)
[07:37:52 -238043.002110] AUTODETECT spr round 3 (radius: 15)
[07:39:16 -209429.560558] AUTODETECT spr round 4 (radius: 20)
[07:40:57 -186788.768779] AUTODETECT spr round 5 (radius: 25)
[07:42:52 -181262.387846] SPR radius for FAST iterations: 25 (autodetect)
[07:42:52 -181262.387846] Model parameter optimization (eps = 3.000000)
[07:43:07 -180998.591946] FAST spr round 1 (radius: 25)
[07:44:42 -158028.206054] FAST spr round 2 (radius: 25)
[07:45:58 -156955.903087] FAST spr round 3 (radius: 25)
[07:47:10 -156866.855222] FAST spr round 4 (radius: 25)
[07:48:13 -156864.772486] FAST spr round 5 (radius: 25)
[07:49:13 -156864.772277] Model parameter optimization (eps = 1.000000)
[07:49:24 -156859.679029] SLOW spr round 1 (radius: 5)
[07:50:44 -156810.013043] SLOW spr round 2 (radius: 5)
[07:52:00 -156809.986308] SLOW spr round 3 (radius: 10)
[07:53:16 -156809.634961] SLOW spr round 4 (radius: 5)
[07:54:48 -156809.634880] SLOW spr round 5 (radius: 10)
[07:56:12 -156809.634857] SLOW spr round 6 (radius: 15)
[07:58:06 -156809.634841] SLOW spr round 7 (radius: 20)
[08:01:04 -156809.634826] SLOW spr round 8 (radius: 25)
[08:04:59 -156809.634811] Model parameter optimization (eps = 0.100000)

[08:05:10] ML tree search #14, logLikelihood: -156809.362550

[08:05:10 -588711.026127] Initial branch length optimization
[08:05:14 -486673.244969] Model parameter optimization (eps = 10.000000)
[08:06:05 -485661.893168] AUTODETECT spr round 1 (radius: 5)
[08:07:20 -334603.499104] AUTODETECT spr round 2 (radius: 10)
[08:08:39 -251686.346509] AUTODETECT spr round 3 (radius: 15)
[08:10:03 -212523.253795] AUTODETECT spr round 4 (radius: 20)
[08:11:39 -188646.344499] AUTODETECT spr round 5 (radius: 25)
[08:13:42 -184832.272306] SPR radius for FAST iterations: 25 (autodetect)
[08:13:42 -184832.272306] Model parameter optimization (eps = 3.000000)
[08:14:00 -184635.558714] FAST spr round 1 (radius: 25)
[08:15:41 -157942.174740] FAST spr round 2 (radius: 25)
[08:16:57 -156943.576818] FAST spr round 3 (radius: 25)
[08:18:06 -156849.676906] FAST spr round 4 (radius: 25)
[08:19:09 -156838.871406] FAST spr round 5 (radius: 25)
[08:20:10 -156832.849651] FAST spr round 6 (radius: 25)
[08:21:12 -156832.848926] Model parameter optimization (eps = 1.000000)
[08:21:19 -156827.390494] SLOW spr round 1 (radius: 5)
[08:22:37 -156811.776169] SLOW spr round 2 (radius: 5)
[08:23:54 -156809.330581] SLOW spr round 3 (radius: 5)
[08:25:08 -156809.008209] SLOW spr round 4 (radius: 5)
[08:26:21 -156809.008165] SLOW spr round 5 (radius: 10)
[08:27:37 -156808.650221] SLOW spr round 6 (radius: 5)
[08:29:09 -156808.650134] SLOW spr round 7 (radius: 10)
[08:30:30 -156808.650082] SLOW spr round 8 (radius: 15)
[08:32:22 -156808.650059] SLOW spr round 9 (radius: 20)
[08:35:25 -156808.650037] SLOW spr round 10 (radius: 25)
[08:39:25 -156808.650016] Model parameter optimization (eps = 0.100000)

[08:39:30] ML tree search #15, logLikelihood: -156808.396276

[08:39:30 -581782.011720] Initial branch length optimization
[08:39:34 -479907.716485] Model parameter optimization (eps = 10.000000)
[08:40:22 -479165.286542] AUTODETECT spr round 1 (radius: 5)
[08:41:34 -332361.266883] AUTODETECT spr round 2 (radius: 10)
[08:42:54 -242944.648191] AUTODETECT spr round 3 (radius: 15)
[08:44:21 -192879.209629] AUTODETECT spr round 4 (radius: 20)
[08:45:55 -180296.847947] AUTODETECT spr round 5 (radius: 25)
[08:47:50 -177551.510009] SPR radius for FAST iterations: 25 (autodetect)
[08:47:50 -177551.510009] Model parameter optimization (eps = 3.000000)
[08:48:04 -177356.349696] FAST spr round 1 (radius: 25)
[08:49:36 -157803.490908] FAST spr round 2 (radius: 25)
[08:50:53 -156908.413413] FAST spr round 3 (radius: 25)
[08:52:03 -156851.261184] FAST spr round 4 (radius: 25)
[08:53:07 -156846.099322] FAST spr round 5 (radius: 25)
[08:54:08 -156846.096846] Model parameter optimization (eps = 1.000000)
[08:54:17 -156837.925315] SLOW spr round 1 (radius: 5)
[08:55:38 -156806.034986] SLOW spr round 2 (radius: 5)
[08:56:58 -156799.268038] SLOW spr round 3 (radius: 5)
[08:58:12 -156799.267602] SLOW spr round 4 (radius: 10)
[08:59:28 -156799.267473] SLOW spr round 5 (radius: 15)
[09:01:25 -156799.267381] SLOW spr round 6 (radius: 20)
[09:04:16 -156797.911083] SLOW spr round 7 (radius: 5)
[09:05:56 -156797.909993] SLOW spr round 8 (radius: 10)
[09:07:23 -156797.909932] SLOW spr round 9 (radius: 15)
[09:09:11 -156797.909882] SLOW spr round 10 (radius: 20)
[09:12:09 -156797.909836] SLOW spr round 11 (radius: 25)
[09:15:59 -156797.909796] Model parameter optimization (eps = 0.100000)

[09:16:04] ML tree search #16, logLikelihood: -156797.882246

[09:16:04 -584718.949493] Initial branch length optimization
[09:16:08 -483055.617339] Model parameter optimization (eps = 10.000000)
[09:16:59 -482087.380040] AUTODETECT spr round 1 (radius: 5)
[09:18:13 -338763.829299] AUTODETECT spr round 2 (radius: 10)
[09:19:32 -244435.568065] AUTODETECT spr round 3 (radius: 15)
[09:20:58 -198265.434467] AUTODETECT spr round 4 (radius: 20)
[09:22:34 -179378.266469] AUTODETECT spr round 5 (radius: 25)
[09:24:38 -178157.706724] SPR radius for FAST iterations: 25 (autodetect)
[09:24:38 -178157.706724] Model parameter optimization (eps = 3.000000)
[09:24:57 -177912.706735] FAST spr round 1 (radius: 25)
[09:26:34 -157684.971505] FAST spr round 2 (radius: 25)
[09:27:52 -156875.431254] FAST spr round 3 (radius: 25)
[09:29:02 -156838.613600] FAST spr round 4 (radius: 25)
[09:30:04 -156837.197531] FAST spr round 5 (radius: 25)
[09:31:05 -156837.196967] Model parameter optimization (eps = 1.000000)
[09:31:16 -156834.095211] SLOW spr round 1 (radius: 5)
[09:32:38 -156812.225796] SLOW spr round 2 (radius: 5)
[09:33:54 -156806.265856] SLOW spr round 3 (radius: 5)
[09:35:07 -156804.059795] SLOW spr round 4 (radius: 5)
[09:36:20 -156804.059646] SLOW spr round 5 (radius: 10)
[09:37:36 -156802.885503] SLOW spr round 6 (radius: 5)
[09:39:09 -156802.883985] SLOW spr round 7 (radius: 10)
[09:40:31 -156802.883638] SLOW spr round 8 (radius: 15)
[09:42:23 -156802.883535] SLOW spr round 9 (radius: 20)
[09:45:27 -156802.883490] SLOW spr round 10 (radius: 25)
[09:49:26 -156802.883463] Model parameter optimization (eps = 0.100000)

[09:49:32] ML tree search #17, logLikelihood: -156802.785344

[09:49:32 -582827.583386] Initial branch length optimization
[09:49:34 -480024.766138] Model parameter optimization (eps = 10.000000)
[09:50:23 -479224.322329] AUTODETECT spr round 1 (radius: 5)
[09:51:35 -328568.990386] AUTODETECT spr round 2 (radius: 10)
[09:52:55 -246475.542562] AUTODETECT spr round 3 (radius: 15)
[09:54:20 -212520.537167] AUTODETECT spr round 4 (radius: 20)
[09:56:01 -181619.779330] AUTODETECT spr round 5 (radius: 25)
[09:57:49 -176313.624583] SPR radius for FAST iterations: 25 (autodetect)
[09:57:49 -176313.624583] Model parameter optimization (eps = 3.000000)
[09:58:05 -176113.173768] FAST spr round 1 (radius: 25)
[09:59:30 -157692.379136] FAST spr round 2 (radius: 25)
[10:00:47 -156900.207928] FAST spr round 3 (radius: 25)
[10:01:54 -156878.165538] FAST spr round 4 (radius: 25)
[10:02:57 -156878.124348] Model parameter optimization (eps = 1.000000)
[10:03:09 -156869.728878] SLOW spr round 1 (radius: 5)
[10:04:30 -156817.536671] SLOW spr round 2 (radius: 5)
[10:05:47 -156810.972415] SLOW spr round 3 (radius: 5)
[10:07:02 -156810.939048] SLOW spr round 4 (radius: 10)
[10:08:18 -156804.807738] SLOW spr round 5 (radius: 5)
[10:09:53 -156804.805664] SLOW spr round 6 (radius: 10)
[10:11:15 -156804.805381] SLOW spr round 7 (radius: 15)
[10:13:11 -156804.805228] SLOW spr round 8 (radius: 20)
[10:16:25 -156804.805115] SLOW spr round 9 (radius: 25)
[10:20:33 -156804.805025] Model parameter optimization (eps = 0.100000)

[10:20:42] ML tree search #18, logLikelihood: -156804.679615

[10:20:42 -579492.780907] Initial branch length optimization
[10:20:47 -478459.810134] Model parameter optimization (eps = 10.000000)
[10:21:31 -477498.503359] AUTODETECT spr round 1 (radius: 5)
[10:22:43 -326818.317891] AUTODETECT spr round 2 (radius: 10)
[10:23:49 -248396.919228] AUTODETECT spr round 3 (radius: 15)
[10:25:03 -209134.545831] AUTODETECT spr round 4 (radius: 20)
[10:26:27 -193637.925020] AUTODETECT spr round 5 (radius: 25)
[10:28:04 -183915.182041] SPR radius for FAST iterations: 25 (autodetect)
[10:28:04 -183915.182041] Model parameter optimization (eps = 3.000000)
[10:28:17 -183777.664594] FAST spr round 1 (radius: 25)
[10:29:36 -158224.645566] FAST spr round 2 (radius: 25)
[10:30:40 -156958.116716] FAST spr round 3 (radius: 25)
[10:31:37 -156848.574152] FAST spr round 4 (radius: 25)
[10:32:29 -156845.318643] FAST spr round 5 (radius: 25)
[10:33:20 -156845.306988] Model parameter optimization (eps = 1.000000)
[10:33:30 -156839.568406] SLOW spr round 1 (radius: 5)
[10:34:38 -156805.859172] SLOW spr round 2 (radius: 5)
[10:35:43 -156797.799331] SLOW spr round 3 (radius: 5)
[10:36:46 -156797.799189] SLOW spr round 4 (radius: 10)
[10:37:48 -156797.799104] SLOW spr round 5 (radius: 15)
[10:39:30 -156797.799064] SLOW spr round 6 (radius: 20)
[10:42:06 -156797.799028] SLOW spr round 7 (radius: 25)
[10:45:37 -156797.798996] Model parameter optimization (eps = 0.100000)

[10:45:41] ML tree search #19, logLikelihood: -156797.753373

[10:45:41 -581908.970875] Initial branch length optimization
[10:45:45 -482012.328465] Model parameter optimization (eps = 10.000000)
[10:46:14 -480821.396907] AUTODETECT spr round 1 (radius: 5)
[10:47:14 -328272.245983] AUTODETECT spr round 2 (radius: 10)
[10:48:19 -250747.651774] AUTODETECT spr round 3 (radius: 15)
[10:49:27 -212682.136629] AUTODETECT spr round 4 (radius: 20)
[10:50:47 -192339.964083] AUTODETECT spr round 5 (radius: 25)
[10:52:20 -185804.557533] SPR radius for FAST iterations: 25 (autodetect)
[10:52:20 -185804.557533] Model parameter optimization (eps = 3.000000)
[10:52:33 -185545.385316] FAST spr round 1 (radius: 25)
[10:53:50 -158053.363057] FAST spr round 2 (radius: 25)
[10:54:51 -156953.067622] FAST spr round 3 (radius: 25)
[10:55:48 -156872.330298] FAST spr round 4 (radius: 25)
[10:56:41 -156845.246686] FAST spr round 5 (radius: 25)
[10:57:31 -156845.246322] Model parameter optimization (eps = 1.000000)
[10:57:41 -156833.699190] SLOW spr round 1 (radius: 5)
[10:58:47 -156808.746826] SLOW spr round 2 (radius: 5)
[10:59:51 -156798.902785] SLOW spr round 3 (radius: 5)
[11:00:53 -156798.766008] SLOW spr round 4 (radius: 5)
[11:01:55 -156798.765599] SLOW spr round 5 (radius: 10)
[11:02:57 -156798.765385] SLOW spr round 6 (radius: 15)
[11:04:37 -156798.765247] SLOW spr round 7 (radius: 20)
[11:07:10 -156798.765147] SLOW spr round 8 (radius: 25)
[11:10:40 -156798.765068] Model parameter optimization (eps = 0.100000)

[11:10:47] ML tree search #20, logLikelihood: -156798.634351


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.089019,0.247592) (0.097686,0.359646) (0.400375,0.793985) (0.412920,1.513453) 
   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: -156795.979984

AIC score: 317001.959969 / AICc score: 6134461.959969 / BIC score: 324118.265276
Free parameters (model + branch lengths): 1705

WARNING: Number of free parameters (K=1705) is larger than alignment size (n=480).
         This might lead to overfitting and compromise tree inference results!


WARNING: Best ML tree contains 96 near-zero branches!

Best ML tree with collapsed near-zero branches saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q11203/3_mltree/Q11203.raxml.bestTreeCollapsed
Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q11203/3_mltree/Q11203.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q11203/3_mltree/Q11203.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q11203/3_mltree/Q11203.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q11203/3_mltree/Q11203.raxml.log

Analysis started: 06-Jul-2021 00:14:39 / finished: 06-Jul-2021 11:25:27

Elapsed time: 40247.230 seconds

Consumed energy: 3708.342 Wh (= 19 km in an electric car, or 93 km with an e-scooter!)