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 14-Jul-2021 23:16:16 as follows:

raxml-ng --msa /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q08397/2_msa/Q08397_trimmed_msa.fasta --data-type AA --model LG4X --prefix /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q08397/3_mltree/Q08397 --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/Q08397/2_msa/Q08397_trimmed_msa.fasta
[00:00:00] Loaded alignment with 652 taxa and 713 sites

WARNING: Sequences tr_G1RMU7_G1RMU7_NOMLE_61853 and tr_G3RNM2_G3RNM2_GORGO_9595 are exactly identical!
WARNING: Sequences tr_G3RD94_G3RD94_GORGO_9595 and tr_A0A2R8ZNC1_A0A2R8ZNC1_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2QRE0_H2QRE0_PANTR_9598 and tr_A0A2R9B5X9_A0A2R9B5X9_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G7PCW1_G7PCW1_MACFA_9541 and tr_A0A2K6DNI1_A0A2K6DNI1_MACNE_9545 are exactly identical!
WARNING: Sequences tr_U3I7V3_U3I7V3_ANAPL_8839 and tr_A0A093Q1Z6_A0A093Q1Z6_9PASS_328815 are exactly identical!
WARNING: Sequences tr_U3I7V3_U3I7V3_ANAPL_8839 and tr_A0A091ULB4_A0A091ULB4_NIPNI_128390 are exactly identical!
WARNING: Sequences tr_U3I7V3_U3I7V3_ANAPL_8839 and tr_A0A087QK62_A0A087QK62_APTFO_9233 are exactly identical!
WARNING: Sequences tr_U3I7V3_U3I7V3_ANAPL_8839 and tr_A0A093I4N8_A0A093I4N8_STRCA_441894 are exactly identical!
WARNING: Sequences tr_U3I7V3_U3I7V3_ANAPL_8839 and tr_A0A091W1X6_A0A091W1X6_OPIHO_30419 are exactly identical!
WARNING: Sequences tr_U3I7V3_U3I7V3_ANAPL_8839 and tr_A0A099YXA7_A0A099YXA7_TINGU_94827 are exactly identical!
WARNING: Sequences tr_A0A096MYG8_A0A096MYG8_PAPAN_9555 and tr_A0A2K5NIT0_A0A2K5NIT0_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A096NMP2_A0A096NMP2_PAPAN_9555 and tr_A0A0D9RNM5_A0A0D9RNM5_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_A0A096NMP2_A0A096NMP2_PAPAN_9555 and tr_A0A2K5KRR2_A0A2K5KRR2_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A0D9RQ69_A0A0D9RQ69_CHLSB_60711 and tr_A0A2K6DR75_A0A2K6DR75_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A0Q3UTL5_A0A0Q3UTL5_AMAAE_12930 and tr_A0A091G906_A0A091G906_9AVES_55661 are exactly identical!
WARNING: Sequences tr_A0A0Q3UTL5_A0A0Q3UTL5_AMAAE_12930 and tr_A0A093GE77_A0A093GE77_DRYPU_118200 are exactly identical!
WARNING: Sequences tr_A0A0Q3UTL5_A0A0Q3UTL5_AMAAE_12930 and tr_A0A1V4KCX1_A0A1V4KCX1_PATFA_372326 are exactly identical!
WARNING: Sequences tr_A0A2D0QLH0_A0A2D0QLH0_ICTPU_7998 and tr_A0A2D0QLS2_A0A2D0QLS2_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0QLH0_A0A2D0QLH0_ICTPU_7998 and tr_A0A2D0QM29_A0A2D0QM29_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0QLH0_A0A2D0QLH0_ICTPU_7998 and tr_A0A2D0QPG4_A0A2D0QPG4_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2K5MWL6_A0A2K5MWL6_CERAT_9531 and tr_A0A2K5YMC4_A0A2K5YMC4_MANLE_9568 are exactly identical!
WARNING: Duplicate sequences found: 21

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/Q08397/3_mltree/Q08397.raxml.reduced.phy

Alignment comprises 1 partitions and 713 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 713 / 713
Gaps: 31.69 %
Invariant sites: 0.14 %


NOTE: Binary MSA file created: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q08397/3_mltree/Q08397.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 652 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 102 / 8160
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -510219.529551] Initial branch length optimization
[00:00:03 -429331.353898] Model parameter optimization (eps = 10.000000)
[00:00:25 -429043.657908] AUTODETECT spr round 1 (radius: 5)
[00:30:42 -276687.861694] AUTODETECT spr round 2 (radius: 10)
[01:45:14 -206125.889843] AUTODETECT spr round 3 (radius: 15)
[02:52:08 -175060.523299] AUTODETECT spr round 4 (radius: 20)
[04:19:41 -168052.479144] AUTODETECT spr round 5 (radius: 25)
[06:23:15 -163342.702623] SPR radius for FAST iterations: 25 (autodetect)
[06:23:15 -163342.702623] Model parameter optimization (eps = 3.000000)
[06:27:19 -163138.792368] FAST spr round 1 (radius: 25)
[08:49:10 -146681.318513] FAST spr round 2 (radius: 25)
[10:41:45 -146152.529509] FAST spr round 3 (radius: 25)
[11:47:12 -146084.676112] FAST spr round 4 (radius: 25)
[11:49:12 -146076.974140] FAST spr round 5 (radius: 25)
[11:51:17 -146076.970073] Model parameter optimization (eps = 1.000000)
[11:51:28 -146074.911807] SLOW spr round 1 (radius: 5)
[11:52:41 -146034.350078] SLOW spr round 2 (radius: 5)
[11:53:48 -146028.477090] SLOW spr round 3 (radius: 5)
[11:54:54 -146028.474933] SLOW spr round 4 (radius: 10)
[11:55:57 -146028.474629] SLOW spr round 5 (radius: 15)
[11:57:47 -146028.474586] SLOW spr round 6 (radius: 20)
[12:02:20 -146028.474554] SLOW spr round 7 (radius: 25)
[12:38:07 -146028.474525] Model parameter optimization (eps = 0.100000)

[12:38:14] ML tree search #1, logLikelihood: -146028.351339

[12:38:14 -506397.413619] Initial branch length optimization
[12:38:48 -426999.229193] Model parameter optimization (eps = 10.000000)
[12:39:07 -426706.824439] AUTODETECT spr round 1 (radius: 5)
[12:46:49 -267133.820178] AUTODETECT spr round 2 (radius: 10)
[13:09:36 -194489.532413] AUTODETECT spr round 3 (radius: 15)
[13:41:45 -169104.704235] AUTODETECT spr round 4 (radius: 20)
[13:43:13 -160654.085344] AUTODETECT spr round 5 (radius: 25)
[14:04:51 -160521.061742] SPR radius for FAST iterations: 25 (autodetect)
[14:04:51 -160521.061742] Model parameter optimization (eps = 3.000000)
[14:05:12 -160320.524704] FAST spr round 1 (radius: 25)
[14:06:33 -146621.434499] FAST spr round 2 (radius: 25)
[14:07:37 -146128.908964] FAST spr round 3 (radius: 25)
[14:08:36 -146092.526065] FAST spr round 4 (radius: 25)
[14:09:27 -146083.364233] FAST spr round 5 (radius: 25)
[14:10:13 -146083.363518] Model parameter optimization (eps = 1.000000)
[14:10:23 -146075.344339] SLOW spr round 1 (radius: 5)
[14:11:36 -146030.566343] SLOW spr round 2 (radius: 5)
[14:12:45 -146027.890018] SLOW spr round 3 (radius: 5)
[14:13:50 -146024.534188] SLOW spr round 4 (radius: 5)
[14:14:56 -146024.534079] SLOW spr round 5 (radius: 10)
[14:16:01 -146023.443665] SLOW spr round 6 (radius: 5)
[14:17:27 -146023.443203] SLOW spr round 7 (radius: 10)
[14:18:41 -146023.442846] SLOW spr round 8 (radius: 15)
[14:20:21 -146023.442482] SLOW spr round 9 (radius: 20)
[14:22:48 -146023.442442] SLOW spr round 10 (radius: 25)
[14:25:44 -146023.442424] Model parameter optimization (eps = 0.100000)

[14:25:49] ML tree search #2, logLikelihood: -146023.398712

[14:25:49 -508685.089884] Initial branch length optimization
[14:25:52 -426115.125395] Model parameter optimization (eps = 10.000000)
[14:26:16 -425811.048660] AUTODETECT spr round 1 (radius: 5)
[14:27:17 -275555.010194] AUTODETECT spr round 2 (radius: 10)
[14:28:24 -203086.629464] AUTODETECT spr round 3 (radius: 15)
[14:29:44 -178765.298660] AUTODETECT spr round 4 (radius: 20)
[14:31:29 -166559.676091] AUTODETECT spr round 5 (radius: 25)
[14:33:01 -165716.427683] SPR radius for FAST iterations: 25 (autodetect)
[14:33:01 -165716.427683] Model parameter optimization (eps = 3.000000)
[14:33:17 -165451.782299] FAST spr round 1 (radius: 25)
[14:34:35 -146845.625563] FAST spr round 2 (radius: 25)
[14:35:38 -146183.177361] FAST spr round 3 (radius: 25)
[14:36:34 -146137.296610] FAST spr round 4 (radius: 25)
[14:37:26 -146130.912157] FAST spr round 5 (radius: 25)
[14:38:15 -146130.813814] Model parameter optimization (eps = 1.000000)
[14:38:29 -146125.583289] SLOW spr round 1 (radius: 5)
[14:39:39 -146077.013758] SLOW spr round 2 (radius: 5)
[14:40:49 -146066.203736] SLOW spr round 3 (radius: 5)
[14:41:55 -146062.721939] SLOW spr round 4 (radius: 5)
[14:43:00 -146062.721723] SLOW spr round 5 (radius: 10)
[14:44:06 -146061.270621] SLOW spr round 6 (radius: 5)
[14:45:30 -146061.270525] SLOW spr round 7 (radius: 10)
[14:46:44 -146061.154838] SLOW spr round 8 (radius: 5)
[14:48:07 -146061.149619] SLOW spr round 9 (radius: 10)
[14:49:19 -146061.148781] SLOW spr round 10 (radius: 15)
[14:51:03 -146061.148479] SLOW spr round 11 (radius: 20)
[14:53:46 -146060.585402] SLOW spr round 12 (radius: 5)
[14:55:16 -146060.584371] SLOW spr round 13 (radius: 10)
[14:56:38 -146060.583846] SLOW spr round 14 (radius: 15)
[14:58:22 -146059.460056] SLOW spr round 15 (radius: 5)
[14:59:55 -146059.459697] SLOW spr round 16 (radius: 10)
[15:01:16 -146059.459617] SLOW spr round 17 (radius: 15)
[15:02:58 -146059.459572] SLOW spr round 18 (radius: 20)
[15:05:41 -146059.459536] SLOW spr round 19 (radius: 25)
[15:08:54 -146059.459503] Model parameter optimization (eps = 0.100000)

[15:09:03] ML tree search #3, logLikelihood: -146059.030950

[15:09:03 -511722.834573] Initial branch length optimization
[15:09:06 -427517.265404] Model parameter optimization (eps = 10.000000)
[15:09:26 -427257.566492] AUTODETECT spr round 1 (radius: 5)
[15:10:28 -273973.883113] AUTODETECT spr round 2 (radius: 10)
[15:11:33 -198274.108762] AUTODETECT spr round 3 (radius: 15)
[15:12:48 -169876.901860] AUTODETECT spr round 4 (radius: 20)
[15:14:10 -162778.240306] AUTODETECT spr round 5 (radius: 25)
[15:15:54 -161182.737263] SPR radius for FAST iterations: 25 (autodetect)
[15:15:54 -161182.737263] Model parameter optimization (eps = 3.000000)
[15:16:11 -160929.769968] FAST spr round 1 (radius: 25)
[15:17:31 -146823.840985] FAST spr round 2 (radius: 25)
[15:18:37 -146155.534674] FAST spr round 3 (radius: 25)
[15:19:32 -146107.402290] FAST spr round 4 (radius: 25)
[15:20:24 -146077.902173] FAST spr round 5 (radius: 25)
[15:21:11 -146070.601654] FAST spr round 6 (radius: 25)
[15:21:58 -146068.327852] FAST spr round 7 (radius: 25)
[15:22:44 -146068.327820] Model parameter optimization (eps = 1.000000)
[15:22:56 -146064.084885] SLOW spr round 1 (radius: 5)
[15:24:07 -146034.441428] SLOW spr round 2 (radius: 5)
[15:25:15 -146028.247152] SLOW spr round 3 (radius: 5)
[15:26:19 -146027.250614] SLOW spr round 4 (radius: 5)
[15:27:23 -146027.250336] SLOW spr round 5 (radius: 10)
[15:28:27 -146027.250296] SLOW spr round 6 (radius: 15)
[15:30:11 -146027.250287] SLOW spr round 7 (radius: 20)
[15:32:50 -146025.812237] SLOW spr round 8 (radius: 5)
[15:34:19 -146025.808910] SLOW spr round 9 (radius: 10)
[15:35:39 -146025.808068] SLOW spr round 10 (radius: 15)
[15:37:19 -146025.807756] SLOW spr round 11 (radius: 20)
[15:40:03 -146025.807637] SLOW spr round 12 (radius: 25)
[15:43:10 -146025.807591] Model parameter optimization (eps = 0.100000)

[15:43:14] ML tree search #4, logLikelihood: -146025.735910

[15:43:14 -509922.502177] Initial branch length optimization
[15:43:17 -426457.255931] Model parameter optimization (eps = 10.000000)
[15:43:39 -426160.780748] AUTODETECT spr round 1 (radius: 5)
[15:44:39 -276221.393729] AUTODETECT spr round 2 (radius: 10)
[15:45:45 -197903.989431] AUTODETECT spr round 3 (radius: 15)
[15:47:02 -167119.108078] AUTODETECT spr round 4 (radius: 20)
[15:48:33 -158816.228256] AUTODETECT spr round 5 (radius: 25)
[15:50:17 -158415.161113] SPR radius for FAST iterations: 25 (autodetect)
[15:50:17 -158415.161113] Model parameter optimization (eps = 3.000000)
[15:50:37 -158147.941944] FAST spr round 1 (radius: 25)
[15:51:56 -146468.263974] FAST spr round 2 (radius: 25)
[15:53:00 -146098.057680] FAST spr round 3 (radius: 25)
[15:53:55 -146085.007311] FAST spr round 4 (radius: 25)
[15:54:47 -146069.672544] FAST spr round 5 (radius: 25)
[15:55:36 -146069.670839] Model parameter optimization (eps = 1.000000)
[15:55:47 -146063.958601] SLOW spr round 1 (radius: 5)
[15:56:59 -146036.250585] SLOW spr round 2 (radius: 5)
[15:58:06 -146031.861001] SLOW spr round 3 (radius: 5)
[15:59:10 -146031.860010] SLOW spr round 4 (radius: 10)
[16:00:17 -146030.740691] SLOW spr round 5 (radius: 5)
[16:01:43 -146030.739393] SLOW spr round 6 (radius: 10)
[16:02:57 -146030.738959] SLOW spr round 7 (radius: 15)
[16:04:39 -146030.738677] SLOW spr round 8 (radius: 20)
[16:07:20 -146030.738653] SLOW spr round 9 (radius: 25)
[16:10:32 -146030.738635] Model parameter optimization (eps = 0.100000)

[16:10:35] ML tree search #5, logLikelihood: -146030.708124

[16:10:35 -514421.525621] Initial branch length optimization
[16:10:39 -430507.080951] Model parameter optimization (eps = 10.000000)
[16:10:57 -430250.411165] AUTODETECT spr round 1 (radius: 5)
[16:11:57 -274411.484764] AUTODETECT spr round 2 (radius: 10)
[16:13:04 -214447.373558] AUTODETECT spr round 3 (radius: 15)
[16:14:19 -176886.985120] AUTODETECT spr round 4 (radius: 20)
[16:15:40 -165814.123196] AUTODETECT spr round 5 (radius: 25)
[16:17:28 -161958.204588] SPR radius for FAST iterations: 25 (autodetect)
[16:17:28 -161958.204588] Model parameter optimization (eps = 3.000000)
[16:17:44 -161661.878347] FAST spr round 1 (radius: 25)
[16:19:03 -146812.678610] FAST spr round 2 (radius: 25)
[16:20:06 -146118.892061] FAST spr round 3 (radius: 25)
[16:21:04 -146098.638009] FAST spr round 4 (radius: 25)
[16:21:58 -146098.229418] FAST spr round 5 (radius: 25)
[16:22:47 -146098.229038] Model parameter optimization (eps = 1.000000)
[16:22:59 -146095.671794] SLOW spr round 1 (radius: 5)
[16:24:11 -146031.146585] SLOW spr round 2 (radius: 5)
[16:25:20 -146025.047659] SLOW spr round 3 (radius: 5)
[16:26:26 -146025.046119] SLOW spr round 4 (radius: 10)
[16:27:32 -146025.045526] SLOW spr round 5 (radius: 15)
[16:29:21 -146025.045194] SLOW spr round 6 (radius: 20)
[16:32:03 -146025.044991] SLOW spr round 7 (radius: 25)
[16:35:10 -146025.044853] Model parameter optimization (eps = 0.100000)

[16:35:14] ML tree search #6, logLikelihood: -146024.948632

[16:35:14 -510989.246955] Initial branch length optimization
[16:35:17 -428501.274745] Model parameter optimization (eps = 10.000000)
[16:35:37 -428214.130673] AUTODETECT spr round 1 (radius: 5)
[16:36:39 -269755.908565] AUTODETECT spr round 2 (radius: 10)
[16:37:47 -196480.202089] AUTODETECT spr round 3 (radius: 15)
[16:38:56 -169911.302206] AUTODETECT spr round 4 (radius: 20)
[16:40:28 -161716.287976] AUTODETECT spr round 5 (radius: 25)
[16:42:08 -161143.701230] SPR radius for FAST iterations: 25 (autodetect)
[16:42:08 -161143.701230] Model parameter optimization (eps = 3.000000)
[16:42:25 -160896.862215] FAST spr round 1 (radius: 25)
[16:43:44 -147116.469079] FAST spr round 2 (radius: 25)
[16:44:47 -146158.287266] FAST spr round 3 (radius: 25)
[16:45:46 -146095.892755] FAST spr round 4 (radius: 25)
[16:46:37 -146086.316943] FAST spr round 5 (radius: 25)
[16:47:25 -146086.316563] Model parameter optimization (eps = 1.000000)
[16:47:36 -146083.712456] SLOW spr round 1 (radius: 5)
[16:48:47 -146044.215360] SLOW spr round 2 (radius: 5)
[16:49:56 -146028.614570] SLOW spr round 3 (radius: 5)
[16:51:02 -146026.616688] SLOW spr round 4 (radius: 5)
[16:52:06 -146026.616361] SLOW spr round 5 (radius: 10)
[16:53:11 -146026.616290] SLOW spr round 6 (radius: 15)
[16:55:01 -146026.616270] SLOW spr round 7 (radius: 20)
[16:57:34 -146026.616259] SLOW spr round 8 (radius: 25)
[17:00:36 -146026.616249] Model parameter optimization (eps = 0.100000)

[17:00:40] ML tree search #7, logLikelihood: -146026.553615

[17:00:40 -507023.386567] Initial branch length optimization
[17:00:43 -425785.813078] Model parameter optimization (eps = 10.000000)
[17:01:01 -425535.030811] AUTODETECT spr round 1 (radius: 5)
[17:02:01 -270405.994992] AUTODETECT spr round 2 (radius: 10)
[17:03:06 -199006.553858] AUTODETECT spr round 3 (radius: 15)
[17:04:15 -180774.079491] AUTODETECT spr round 4 (radius: 20)
[17:05:31 -168597.393929] AUTODETECT spr round 5 (radius: 25)
[17:07:02 -162231.670525] SPR radius for FAST iterations: 25 (autodetect)
[17:07:02 -162231.670525] Model parameter optimization (eps = 3.000000)
[17:07:17 -162104.475219] FAST spr round 1 (radius: 25)
[17:08:33 -146702.010015] FAST spr round 2 (radius: 25)
[17:09:39 -146142.432608] FAST spr round 3 (radius: 25)
[17:10:36 -146092.744755] FAST spr round 4 (radius: 25)
[17:11:28 -146087.630893] FAST spr round 5 (radius: 25)
[17:12:19 -146087.599283] Model parameter optimization (eps = 1.000000)
[17:12:31 -146080.210568] SLOW spr round 1 (radius: 5)
[17:13:42 -146038.637499] SLOW spr round 2 (radius: 5)
[17:14:51 -146029.710910] SLOW spr round 3 (radius: 5)
[17:15:57 -146028.202283] SLOW spr round 4 (radius: 5)
[17:17:03 -146028.201846] SLOW spr round 5 (radius: 10)
[17:18:10 -146025.272129] SLOW spr round 6 (radius: 5)
[17:19:36 -146024.601182] SLOW spr round 7 (radius: 5)
[17:20:51 -146024.600235] SLOW spr round 8 (radius: 10)
[17:22:00 -146024.599927] SLOW spr round 9 (radius: 15)
[17:23:46 -146024.599795] SLOW spr round 10 (radius: 20)
[17:26:25 -146024.599712] SLOW spr round 11 (radius: 25)
[17:29:32 -146024.599646] Model parameter optimization (eps = 0.100000)

[17:29:37] ML tree search #8, logLikelihood: -146024.429285

[17:29:37 -505786.399446] Initial branch length optimization
[17:29:40 -420614.070788] Model parameter optimization (eps = 10.000000)
[17:29:58 -420376.045135] AUTODETECT spr round 1 (radius: 5)
[17:30:59 -266721.105603] AUTODETECT spr round 2 (radius: 10)
[17:32:02 -198162.291235] AUTODETECT spr round 3 (radius: 15)
[17:33:14 -163891.863202] AUTODETECT spr round 4 (radius: 20)
[17:34:46 -160810.990094] AUTODETECT spr round 5 (radius: 25)
[17:36:37 -160458.370256] SPR radius for FAST iterations: 25 (autodetect)
[17:36:37 -160458.370256] Model parameter optimization (eps = 3.000000)
[17:36:56 -160177.682836] FAST spr round 1 (radius: 25)
[17:38:17 -146758.351805] FAST spr round 2 (radius: 25)
[17:39:20 -146141.632193] FAST spr round 3 (radius: 25)
[17:40:22 -146100.258664] FAST spr round 4 (radius: 25)
[17:41:15 -146093.983118] FAST spr round 5 (radius: 25)
[17:42:04 -146093.982269] Model parameter optimization (eps = 1.000000)
[17:42:16 -146088.994740] SLOW spr round 1 (radius: 5)
[17:43:29 -146044.346068] SLOW spr round 2 (radius: 5)
[17:44:39 -146033.326420] SLOW spr round 3 (radius: 5)
[17:45:46 -146033.059914] SLOW spr round 4 (radius: 5)
[17:46:53 -146033.059417] SLOW spr round 5 (radius: 10)
[17:47:59 -146033.052980] SLOW spr round 6 (radius: 15)
[17:49:47 -146033.042073] SLOW spr round 7 (radius: 20)
[17:52:22 -146033.041715] SLOW spr round 8 (radius: 25)
[17:55:28 -146033.041428] Model parameter optimization (eps = 0.100000)

[17:55:35] ML tree search #9, logLikelihood: -146032.782496

[17:55:35 -506377.235332] Initial branch length optimization
[17:55:39 -425777.916332] Model parameter optimization (eps = 10.000000)
[17:55:58 -425560.035168] AUTODETECT spr round 1 (radius: 5)
[17:56:58 -269834.090014] AUTODETECT spr round 2 (radius: 10)
[17:58:04 -205588.488978] AUTODETECT spr round 3 (radius: 15)
[17:59:15 -170153.266649] AUTODETECT spr round 4 (radius: 20)
[18:00:54 -162016.811041] AUTODETECT spr round 5 (radius: 25)
[18:02:47 -161421.479446] SPR radius for FAST iterations: 25 (autodetect)
[18:02:47 -161421.479446] Model parameter optimization (eps = 3.000000)
[18:03:05 -161177.969574] FAST spr round 1 (radius: 25)
[18:04:24 -146605.012420] FAST spr round 2 (radius: 25)
[18:05:28 -146115.021670] FAST spr round 3 (radius: 25)
[18:06:25 -146077.592037] FAST spr round 4 (radius: 25)
[18:07:16 -146075.712182] FAST spr round 5 (radius: 25)
[18:08:03 -146075.566098] FAST spr round 6 (radius: 25)
[18:08:49 -146075.566056] Model parameter optimization (eps = 1.000000)
[18:09:01 -146066.504247] SLOW spr round 1 (radius: 5)
[18:10:13 -146023.983458] SLOW spr round 2 (radius: 5)
[18:11:20 -146021.872054] SLOW spr round 3 (radius: 5)
[18:12:24 -146021.871502] SLOW spr round 4 (radius: 10)
[18:13:28 -146021.320544] SLOW spr round 5 (radius: 5)
[18:14:52 -146021.301391] SLOW spr round 6 (radius: 10)
[18:16:04 -146021.299104] SLOW spr round 7 (radius: 15)
[18:17:43 -146021.298759] SLOW spr round 8 (radius: 20)
[18:20:18 -146021.298627] SLOW spr round 9 (radius: 25)
[18:23:20 -146021.298525] Model parameter optimization (eps = 0.100000)

[18:23:23] ML tree search #10, logLikelihood: -146021.285264

[18:23:23 -507346.991469] Initial branch length optimization
[18:23:26 -425956.782686] Model parameter optimization (eps = 10.000000)
[18:23:47 -425714.392294] AUTODETECT spr round 1 (radius: 5)
[18:24:47 -265176.677915] AUTODETECT spr round 2 (radius: 10)
[18:25:55 -201961.264975] AUTODETECT spr round 3 (radius: 15)
[18:27:08 -173936.449499] AUTODETECT spr round 4 (radius: 20)
[18:28:36 -161807.229291] AUTODETECT spr round 5 (radius: 25)
[18:30:27 -161599.507141] SPR radius for FAST iterations: 25 (autodetect)
[18:30:27 -161599.507141] Model parameter optimization (eps = 3.000000)
[18:30:45 -161323.677580] FAST spr round 1 (radius: 25)
[18:32:02 -146725.247123] FAST spr round 2 (radius: 25)
[18:33:05 -146087.792868] FAST spr round 3 (radius: 25)
[18:34:02 -146065.346320] FAST spr round 4 (radius: 25)
[18:34:55 -146054.904000] FAST spr round 5 (radius: 25)
[18:35:44 -146048.078765] FAST spr round 6 (radius: 25)
[18:36:32 -146048.078657] Model parameter optimization (eps = 1.000000)
[18:36:41 -146046.413143] SLOW spr round 1 (radius: 5)
[18:37:52 -146026.764480] SLOW spr round 2 (radius: 5)
[18:38:59 -146023.131572] SLOW spr round 3 (radius: 5)
[18:40:03 -146023.131025] SLOW spr round 4 (radius: 10)
[18:41:09 -146023.130760] SLOW spr round 5 (radius: 15)
[18:42:58 -146023.130623] SLOW spr round 6 (radius: 20)
[18:45:34 -146023.130548] SLOW spr round 7 (radius: 25)
[18:48:41 -146023.130502] Model parameter optimization (eps = 0.100000)

[18:48:45] ML tree search #11, logLikelihood: -146023.116370

[18:48:45 -511307.033757] Initial branch length optimization
[18:48:48 -429555.069018] Model parameter optimization (eps = 10.000000)
[18:49:07 -429313.089088] AUTODETECT spr round 1 (radius: 5)
[18:50:08 -267856.313973] AUTODETECT spr round 2 (radius: 10)
[18:51:14 -197411.657941] AUTODETECT spr round 3 (radius: 15)
[18:52:26 -174245.931926] AUTODETECT spr round 4 (radius: 20)
[18:54:06 -163123.667282] AUTODETECT spr round 5 (radius: 25)
[18:55:45 -162112.574001] SPR radius for FAST iterations: 25 (autodetect)
[18:55:45 -162112.574001] Model parameter optimization (eps = 3.000000)
[18:56:06 -161886.166330] FAST spr round 1 (radius: 25)
[18:57:20 -146878.814456] FAST spr round 2 (radius: 25)
[18:58:27 -146213.423718] FAST spr round 3 (radius: 25)
[18:59:27 -146103.947818] FAST spr round 4 (radius: 25)
[19:00:22 -146089.485817] FAST spr round 5 (radius: 25)
[19:01:10 -146089.071610] FAST spr round 6 (radius: 25)
[19:01:58 -146089.071571] Model parameter optimization (eps = 1.000000)
[19:02:09 -146085.294392] SLOW spr round 1 (radius: 5)
[19:03:19 -146045.608208] SLOW spr round 2 (radius: 5)
[19:04:27 -146038.818361] SLOW spr round 3 (radius: 5)
[19:05:32 -146038.818323] SLOW spr round 4 (radius: 10)
[19:06:37 -146038.818321] SLOW spr round 5 (radius: 15)
[19:08:25 -146038.687786] SLOW spr round 6 (radius: 5)
[19:09:56 -146038.676164] SLOW spr round 7 (radius: 10)
[19:11:13 -146038.675111] SLOW spr round 8 (radius: 15)
[19:12:55 -146038.675017] SLOW spr round 9 (radius: 20)
[19:15:34 -146038.128561] SLOW spr round 10 (radius: 5)
[19:17:05 -146038.122250] SLOW spr round 11 (radius: 10)
[19:18:23 -146038.121977] SLOW spr round 12 (radius: 15)
[19:20:03 -146038.121752] SLOW spr round 13 (radius: 20)
[19:22:41 -146037.008211] SLOW spr round 14 (radius: 5)
[19:24:09 -146037.007898] SLOW spr round 15 (radius: 10)
[19:25:26 -146037.007859] SLOW spr round 16 (radius: 15)
[19:27:06 -146037.007854] SLOW spr round 17 (radius: 20)
[19:29:42 -146037.007852] SLOW spr round 18 (radius: 25)
[19:32:44 -146037.007851] Model parameter optimization (eps = 0.100000)

[19:32:48] ML tree search #12, logLikelihood: -146036.949749

[19:32:48 -509343.044582] Initial branch length optimization
[19:32:51 -423555.848500] Model parameter optimization (eps = 10.000000)
[19:33:12 -423280.613232] AUTODETECT spr round 1 (radius: 5)
[19:34:12 -269790.482259] AUTODETECT spr round 2 (radius: 10)
[19:35:21 -191729.814518] AUTODETECT spr round 3 (radius: 15)
[19:36:39 -166658.314243] AUTODETECT spr round 4 (radius: 20)
[19:38:21 -161441.927907] AUTODETECT spr round 5 (radius: 25)
[19:40:23 -160815.056192] SPR radius for FAST iterations: 25 (autodetect)
[19:40:23 -160815.056192] Model parameter optimization (eps = 3.000000)
[19:40:40 -160524.497873] FAST spr round 1 (radius: 25)
[19:41:59 -146995.861069] FAST spr round 2 (radius: 25)
[19:43:05 -146169.725382] FAST spr round 3 (radius: 25)
[19:44:06 -146088.863422] FAST spr round 4 (radius: 25)
[19:44:56 -146083.803826] FAST spr round 5 (radius: 25)
[19:45:44 -146083.803732] Model parameter optimization (eps = 1.000000)
[19:45:55 -146080.951553] SLOW spr round 1 (radius: 5)
[19:47:04 -146050.927415] SLOW spr round 2 (radius: 5)
[19:48:14 -146041.786848] SLOW spr round 3 (radius: 5)
[19:49:20 -146041.419066] SLOW spr round 4 (radius: 5)
[19:50:25 -146041.418443] SLOW spr round 5 (radius: 10)
[19:51:31 -146038.273248] SLOW spr round 6 (radius: 5)
[19:52:58 -146038.054400] SLOW spr round 7 (radius: 5)
[19:54:13 -146038.054399] SLOW spr round 8 (radius: 10)
[19:55:22 -146038.054330] SLOW spr round 9 (radius: 15)
[19:57:08 -146038.054329] SLOW spr round 10 (radius: 20)
[19:59:47 -146038.054328] SLOW spr round 11 (radius: 25)
[20:02:58 -146038.054327] Model parameter optimization (eps = 0.100000)

[20:03:06] ML tree search #13, logLikelihood: -146037.697414

[20:03:06 -510844.637168] Initial branch length optimization
[20:03:09 -425511.378824] Model parameter optimization (eps = 10.000000)
[20:03:29 -425263.495172] AUTODETECT spr round 1 (radius: 5)
[20:04:30 -271418.117320] AUTODETECT spr round 2 (radius: 10)
[20:05:38 -204443.230704] AUTODETECT spr round 3 (radius: 15)
[20:06:49 -174305.548792] AUTODETECT spr round 4 (radius: 20)
[20:08:06 -164074.736440] AUTODETECT spr round 5 (radius: 25)
[20:09:39 -162234.176369] SPR radius for FAST iterations: 25 (autodetect)
[20:09:39 -162234.176369] Model parameter optimization (eps = 3.000000)
[20:09:55 -161977.993109] FAST spr round 1 (radius: 25)
[20:11:13 -146880.158401] FAST spr round 2 (radius: 25)
[20:12:18 -146147.792710] FAST spr round 3 (radius: 25)
[20:13:18 -146079.377162] FAST spr round 4 (radius: 25)
[20:14:09 -146069.446246] FAST spr round 5 (radius: 25)
[20:14:57 -146069.398619] Model parameter optimization (eps = 1.000000)
[20:15:08 -146065.880825] SLOW spr round 1 (radius: 5)
[20:16:19 -146031.922186] SLOW spr round 2 (radius: 5)
[20:17:26 -146026.139641] SLOW spr round 3 (radius: 5)
[20:18:31 -146026.112469] SLOW spr round 4 (radius: 10)
[20:19:36 -146026.111316] SLOW spr round 5 (radius: 15)
[20:21:23 -146026.110760] SLOW spr round 6 (radius: 20)
[20:23:57 -146025.959355] SLOW spr round 7 (radius: 5)
[20:25:27 -146025.958254] SLOW spr round 8 (radius: 10)
[20:26:48 -146025.958015] SLOW spr round 9 (radius: 15)
[20:28:28 -146025.957833] SLOW spr round 10 (radius: 20)
[20:31:08 -146025.957832] SLOW spr round 11 (radius: 25)
[20:34:14 -146025.957832] Model parameter optimization (eps = 0.100000)

[20:34:18] ML tree search #14, logLikelihood: -146025.920923

[20:34:18 -509814.265284] Initial branch length optimization
[20:34:21 -427640.507525] Model parameter optimization (eps = 10.000000)
[20:34:40 -427353.088739] AUTODETECT spr round 1 (radius: 5)
[20:35:40 -269363.548771] AUTODETECT spr round 2 (radius: 10)
[20:36:45 -204851.301565] AUTODETECT spr round 3 (radius: 15)
[20:37:54 -180166.649053] AUTODETECT spr round 4 (radius: 20)
[20:39:18 -168234.459002] AUTODETECT spr round 5 (radius: 25)
[20:40:59 -162576.701032] SPR radius for FAST iterations: 25 (autodetect)
[20:40:59 -162576.701032] Model parameter optimization (eps = 3.000000)
[20:41:12 -162286.855945] FAST spr round 1 (radius: 25)
[20:42:31 -146906.181661] FAST spr round 2 (radius: 25)
[20:43:36 -146153.554984] FAST spr round 3 (radius: 25)
[20:44:35 -146093.140035] FAST spr round 4 (radius: 25)
[20:45:23 -146092.801337] FAST spr round 5 (radius: 25)
[20:46:10 -146092.792617] Model parameter optimization (eps = 1.000000)
[20:46:21 -146086.595549] SLOW spr round 1 (radius: 5)
[20:47:33 -146050.585089] SLOW spr round 2 (radius: 5)
[20:48:40 -146050.071868] SLOW spr round 3 (radius: 5)
[20:49:46 -146050.071724] SLOW spr round 4 (radius: 10)
[20:50:53 -146047.676193] SLOW spr round 5 (radius: 5)
[20:52:21 -146047.114155] SLOW spr round 6 (radius: 5)
[20:53:36 -146047.114132] SLOW spr round 7 (radius: 10)
[20:54:45 -146047.114129] SLOW spr round 8 (radius: 15)
[20:56:29 -146047.114127] SLOW spr round 9 (radius: 20)
[20:59:02 -146047.114127] SLOW spr round 10 (radius: 25)
[21:02:07 -146047.114126] Model parameter optimization (eps = 0.100000)

[21:02:10] ML tree search #15, logLikelihood: -146047.110123

[21:02:10 -508660.254401] Initial branch length optimization
[21:02:13 -425268.303138] Model parameter optimization (eps = 10.000000)
[21:02:33 -425027.422149] AUTODETECT spr round 1 (radius: 5)
[21:03:35 -273136.850811] AUTODETECT spr round 2 (radius: 10)
[21:04:42 -204944.924838] AUTODETECT spr round 3 (radius: 15)
[21:05:54 -177390.204432] AUTODETECT spr round 4 (radius: 20)
[21:07:12 -162845.845226] AUTODETECT spr round 5 (radius: 25)
[21:08:43 -162472.624766] SPR radius for FAST iterations: 25 (autodetect)
[21:08:43 -162472.624766] Model parameter optimization (eps = 3.000000)
[21:09:01 -162189.430227] FAST spr round 1 (radius: 25)
[21:10:20 -146719.731038] FAST spr round 2 (radius: 25)
[21:11:23 -146103.216522] FAST spr round 3 (radius: 25)
[21:12:18 -146082.836438] FAST spr round 4 (radius: 25)
[21:13:10 -146073.419066] FAST spr round 5 (radius: 25)
[21:14:01 -146072.458068] FAST spr round 6 (radius: 25)
[21:14:49 -146072.457571] Model parameter optimization (eps = 1.000000)
[21:14:57 -146070.865502] SLOW spr round 1 (radius: 5)
[21:16:08 -146031.448304] SLOW spr round 2 (radius: 5)
[21:17:15 -146026.590111] SLOW spr round 3 (radius: 5)
[21:18:22 -146026.589765] SLOW spr round 4 (radius: 10)
[21:19:29 -146026.589566] SLOW spr round 5 (radius: 15)
[21:21:17 -146025.468009] SLOW spr round 6 (radius: 5)
[21:22:48 -146025.467676] SLOW spr round 7 (radius: 10)
[21:24:08 -146025.467635] SLOW spr round 8 (radius: 15)
[21:25:49 -146025.467627] SLOW spr round 9 (radius: 20)
[21:28:26 -146025.467624] SLOW spr round 10 (radius: 25)
[21:31:28 -146025.467622] Model parameter optimization (eps = 0.100000)

[21:31:33] ML tree search #16, logLikelihood: -146025.372441

[21:31:33 -506079.125329] Initial branch length optimization
[21:31:35 -425753.574460] Model parameter optimization (eps = 10.000000)
[21:31:57 -425524.889715] AUTODETECT spr round 1 (radius: 5)
[21:32:57 -278196.489554] AUTODETECT spr round 2 (radius: 10)
[21:34:06 -204893.885769] AUTODETECT spr round 3 (radius: 15)
[21:35:20 -179346.149045] AUTODETECT spr round 4 (radius: 20)
[21:36:46 -169851.678553] AUTODETECT spr round 5 (radius: 25)
[21:38:25 -166242.534984] SPR radius for FAST iterations: 25 (autodetect)
[21:38:25 -166242.534984] Model parameter optimization (eps = 3.000000)
[21:38:43 -165989.871279] FAST spr round 1 (radius: 25)
[21:40:02 -147046.320711] FAST spr round 2 (radius: 25)
[21:41:06 -146156.600513] FAST spr round 3 (radius: 25)
[21:42:03 -146075.864454] FAST spr round 4 (radius: 25)
[21:42:53 -146070.859793] FAST spr round 5 (radius: 25)
[21:43:41 -146070.857224] Model parameter optimization (eps = 1.000000)
[21:43:54 -146061.724698] SLOW spr round 1 (radius: 5)
[21:45:05 -146034.886100] SLOW spr round 2 (radius: 5)
[21:46:12 -146029.582936] SLOW spr round 3 (radius: 5)
[21:47:17 -146029.582756] SLOW spr round 4 (radius: 10)
[21:48:22 -146029.573535] SLOW spr round 5 (radius: 15)
[21:50:12 -146029.546645] SLOW spr round 6 (radius: 20)
[21:52:48 -146029.546402] SLOW spr round 7 (radius: 25)
[21:55:52 -146029.546252] Model parameter optimization (eps = 0.100000)

[21:55:56] ML tree search #17, logLikelihood: -146029.524094

[21:55:56 -513932.333564] Initial branch length optimization
[21:55:59 -432060.247232] Model parameter optimization (eps = 10.000000)
[21:56:24 -431801.670340] AUTODETECT spr round 1 (radius: 5)
[21:57:25 -271739.253445] AUTODETECT spr round 2 (radius: 10)
[21:58:29 -206882.869720] AUTODETECT spr round 3 (radius: 15)
[21:59:46 -175114.073251] AUTODETECT spr round 4 (radius: 20)
[22:01:22 -164099.768494] AUTODETECT spr round 5 (radius: 25)
[22:03:01 -161932.055354] SPR radius for FAST iterations: 25 (autodetect)
[22:03:01 -161932.055354] Model parameter optimization (eps = 3.000000)
[22:03:19 -161680.144516] FAST spr round 1 (radius: 25)
[22:04:35 -146708.568412] FAST spr round 2 (radius: 25)
[22:05:38 -146125.131264] FAST spr round 3 (radius: 25)
[22:06:35 -146082.683955] FAST spr round 4 (radius: 25)
[22:07:25 -146080.766348] FAST spr round 5 (radius: 25)
[22:08:12 -146080.766070] Model parameter optimization (eps = 1.000000)
[22:08:22 -146075.417367] SLOW spr round 1 (radius: 5)
[22:09:32 -146032.811925] SLOW spr round 2 (radius: 5)
[22:10:40 -146029.983720] SLOW spr round 3 (radius: 5)
[22:11:45 -146029.983277] SLOW spr round 4 (radius: 10)
[22:12:50 -146029.054224] SLOW spr round 5 (radius: 5)
[22:14:16 -146028.390658] SLOW spr round 6 (radius: 5)
[22:15:31 -146028.389065] SLOW spr round 7 (radius: 10)
[22:16:40 -146028.388621] SLOW spr round 8 (radius: 15)
[22:18:26 -146028.388499] SLOW spr round 9 (radius: 20)
[22:21:04 -146028.388460] SLOW spr round 10 (radius: 25)
[22:24:04 -146028.388443] Model parameter optimization (eps = 0.100000)

[22:24:07] ML tree search #18, logLikelihood: -146028.364923

[22:24:08 -511949.789371] Initial branch length optimization
[22:24:11 -429475.652676] Model parameter optimization (eps = 10.000000)
[22:24:33 -429201.756468] AUTODETECT spr round 1 (radius: 5)
[22:25:34 -275517.855711] AUTODETECT spr round 2 (radius: 10)
[22:26:42 -200538.055919] AUTODETECT spr round 3 (radius: 15)
[22:27:56 -174150.060500] AUTODETECT spr round 4 (radius: 20)
[22:29:22 -163661.452611] AUTODETECT spr round 5 (radius: 25)
[22:31:14 -162547.461926] SPR radius for FAST iterations: 25 (autodetect)
[22:31:14 -162547.461926] Model parameter optimization (eps = 3.000000)
[22:31:33 -162294.069611] FAST spr round 1 (radius: 25)
[22:32:51 -147036.301439] FAST spr round 2 (radius: 25)
[22:33:53 -146103.917433] FAST spr round 3 (radius: 25)
[22:34:48 -146075.594082] FAST spr round 4 (radius: 25)
[22:35:39 -146071.975548] FAST spr round 5 (radius: 25)
[22:36:31 -146070.172122] FAST spr round 6 (radius: 25)
[22:37:23 -146070.171890] Model parameter optimization (eps = 1.000000)
[22:37:35 -146064.577367] SLOW spr round 1 (radius: 5)
[22:38:48 -146034.114446] SLOW spr round 2 (radius: 5)
[22:39:56 -146033.753499] SLOW spr round 3 (radius: 5)
[22:41:03 -146033.753223] SLOW spr round 4 (radius: 10)
[22:42:10 -146030.737206] SLOW spr round 5 (radius: 5)
[22:43:37 -146030.069495] SLOW spr round 6 (radius: 5)
[22:44:52 -146030.062805] SLOW spr round 7 (radius: 10)
[22:46:00 -146030.062538] SLOW spr round 8 (radius: 15)
[22:47:45 -146030.062455] SLOW spr round 9 (radius: 20)
[22:50:22 -146030.062423] SLOW spr round 10 (radius: 25)
[22:53:26 -146030.062407] Model parameter optimization (eps = 0.100000)

[22:53:29] ML tree search #19, logLikelihood: -146030.007556

[22:53:29 -510183.352834] Initial branch length optimization
[22:53:33 -428051.529052] Model parameter optimization (eps = 10.000000)
[22:53:59 -427784.365060] AUTODETECT spr round 1 (radius: 5)
[22:55:00 -281895.940546] AUTODETECT spr round 2 (radius: 10)
[22:56:08 -200118.127421] AUTODETECT spr round 3 (radius: 15)
[22:57:20 -178457.725188] AUTODETECT spr round 4 (radius: 20)
[22:58:41 -168681.193432] AUTODETECT spr round 5 (radius: 25)
[23:00:05 -164656.277607] SPR radius for FAST iterations: 25 (autodetect)
[23:00:05 -164656.277607] Model parameter optimization (eps = 3.000000)
[23:00:25 -164356.208536] FAST spr round 1 (radius: 25)
[23:01:45 -147043.348856] FAST spr round 2 (radius: 25)
[23:02:49 -146124.408352] FAST spr round 3 (radius: 25)
[23:03:47 -146067.333397] FAST spr round 4 (radius: 25)
[23:04:38 -146063.622058] FAST spr round 5 (radius: 25)
[23:05:26 -146063.620134] Model parameter optimization (eps = 1.000000)
[23:05:36 -146054.312816] SLOW spr round 1 (radius: 5)
[23:06:46 -146022.623824] SLOW spr round 2 (radius: 5)
[23:07:53 -146018.356788] SLOW spr round 3 (radius: 5)
[23:08:56 -146018.356608] SLOW spr round 4 (radius: 10)
[23:10:00 -146018.356584] SLOW spr round 5 (radius: 15)
[23:11:49 -146018.347785] SLOW spr round 6 (radius: 20)
[23:14:21 -146017.798091] SLOW spr round 7 (radius: 5)
[23:15:52 -146016.592236] SLOW spr round 8 (radius: 5)
[23:17:09 -146016.591540] SLOW spr round 9 (radius: 10)
[23:18:17 -146016.591335] SLOW spr round 10 (radius: 15)
[23:20:01 -146016.591210] SLOW spr round 11 (radius: 20)
[23:22:37 -146016.591103] SLOW spr round 12 (radius: 25)
[23:25:45 -146016.591005] Model parameter optimization (eps = 0.100000)

[23:25:52] ML tree search #20, logLikelihood: -146016.398146


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.169309,0.292749) (0.148610,0.475507) (0.400779,0.824384) (0.281302,1.952970) 
   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: -146016.398146

AIC score: 294646.796292 / AICc score: 3713758.796292 / BIC score: 300619.108509
Free parameters (model + branch lengths): 1307

WARNING: Number of free parameters (K=1307) is larger than alignment size (n=713).
         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/Q08397/3_mltree/Q08397.raxml.bestTree
All ML trees saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q08397/3_mltree/Q08397.raxml.mlTrees
Optimized model saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q08397/3_mltree/Q08397.raxml.bestModel

Execution log saved to: /cta/users/eakkoyun/WORKFOLDER/PROD/run_300621/phylogeny-snakemake/results/Q08397/3_mltree/Q08397.raxml.log

Analysis started: 14-Jul-2021 23:16:16 / finished: 15-Jul-2021 22:42:08

Elapsed time: 84352.491 seconds