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 30-Jun-2021 17:54:00 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9BZK7/2_msa/Q9BZK7_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9BZK7/3_mltree/Q9BZK7 --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/Q9BZK7/2_msa/Q9BZK7_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 461 sites

WARNING: Sequences tr_B4Q636_B4Q636_DROSI_7240 and tr_B4ICW6_B4ICW6_DROSE_7238 are exactly identical!
WARNING: Sequences tr_A0A1D5NXL1_A0A1D5NXL1_CHICK_9031 and tr_G1NC30_G1NC30_MELGA_9103 are exactly identical!
WARNING: Sequences tr_A0A1D5NXL1_A0A1D5NXL1_CHICK_9031 and tr_G1LW28_G1LW28_AILME_9646 are exactly identical!
WARNING: Sequences tr_A0A1D5NXL1_A0A1D5NXL1_CHICK_9031 and tr_U3K169_U3K169_FICAL_59894 are exactly identical!
WARNING: Sequences tr_A0A1D5NXL1_A0A1D5NXL1_CHICK_9031 and tr_A0A0Q3R8H8_A0A0Q3R8H8_AMAAE_12930 are exactly identical!
WARNING: Sequences tr_A0A1D5NXL1_A0A1D5NXL1_CHICK_9031 and tr_A0A2I0MBA6_A0A2I0MBA6_COLLI_8932 are exactly identical!
WARNING: Sequences tr_A0A1D5NXL1_A0A1D5NXL1_CHICK_9031 and tr_A0A1V4K3I7_A0A1V4K3I7_PATFA_372326 are exactly identical!
WARNING: Sequences tr_A0A1D5NXL1_A0A1D5NXL1_CHICK_9031 and tr_A0A218V4C3_A0A218V4C3_9PASE_299123 are exactly identical!
WARNING: Sequences tr_A0A1D5NXL1_A0A1D5NXL1_CHICK_9031 and tr_A0A384D911_A0A384D911_URSMA_29073 are exactly identical!
WARNING: Sequences tr_A0A1D5PXG9_A0A1D5PXG9_CHICK_9031 and tr_G1NPE9_G1NPE9_MELGA_9103 are exactly identical!
WARNING: Sequences tr_A0A1D5PXG9_A0A1D5PXG9_CHICK_9031 and tr_H0ZDX5_H0ZDX5_TAEGU_59729 are exactly identical!
WARNING: Sequences tr_A0A1D5PXG9_A0A1D5PXG9_CHICK_9031 and tr_U3JPM6_U3JPM6_FICAL_59894 are exactly identical!
WARNING: Sequences tr_A0A1D5PXG9_A0A1D5PXG9_CHICK_9031 and tr_A0A2I0MKZ1_A0A2I0MKZ1_COLLI_8932 are exactly identical!
WARNING: Sequences tr_A0A1D5PXG9_A0A1D5PXG9_CHICK_9031 and tr_A0A1V4JBJ8_A0A1V4JBJ8_PATFA_372326 are exactly identical!
WARNING: Sequences sp_Q9QXE7_TBL1X_MOUSE_10090 and tr_G3V6G5_G3V6G5_RAT_10116 are exactly identical!
WARNING: Sequences tr_M3Z0I2_M3Z0I2_MUSPF_9669 and tr_E2R263_E2R263_CANLF_9615 are exactly identical!
WARNING: Sequences tr_M3Z0I2_M3Z0I2_MUSPF_9669 and tr_W5QHR7_W5QHR7_SHEEP_9940 are exactly identical!
WARNING: Sequences tr_M3Z0I2_M3Z0I2_MUSPF_9669 and tr_I3MMK4_I3MMK4_ICTTR_43179 are exactly identical!
WARNING: Sequences tr_M3Z0I2_M3Z0I2_MUSPF_9669 and tr_F6VCR5_F6VCR5_CALJA_9483 are exactly identical!
WARNING: Sequences tr_M3Z0I2_M3Z0I2_MUSPF_9669 and tr_F1SGD0_F1SGD0_PIG_9823 are exactly identical!
WARNING: Sequences tr_M3Z0I2_M3Z0I2_MUSPF_9669 and tr_A0A1S2ZEE0_A0A1S2ZEE0_ERIEU_9365 are exactly identical!
WARNING: Sequences tr_M3Z0I2_M3Z0I2_MUSPF_9669 and tr_A0A1S3F4Y3_A0A1S3F4Y3_DIPOR_10020 are exactly identical!
WARNING: Sequences tr_M3Z0I2_M3Z0I2_MUSPF_9669 and tr_A0A2U4C8F9_A0A2U4C8F9_TURTR_9739 are exactly identical!
WARNING: Sequences tr_M3Z0I2_M3Z0I2_MUSPF_9669 and tr_A0A2U3VSY7_A0A2U3VSY7_ODORO_9708 are exactly identical!
WARNING: Sequences tr_M3Z0I2_M3Z0I2_MUSPF_9669 and tr_A0A2Y9JMM6_A0A2Y9JMM6_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_M3Z0I2_M3Z0I2_MUSPF_9669 and tr_A0A2Y9N079_A0A2Y9N079_DELLE_9749 are exactly identical!
WARNING: Sequences tr_M3Z0I2_M3Z0I2_MUSPF_9669 and tr_A0A2Y9SRE1_A0A2Y9SRE1_PHYCD_9755 are exactly identical!
WARNING: Sequences tr_G1R0W6_G1R0W6_NOMLE_61853 and tr_G3R271_G3R271_GORGO_9595 are exactly identical!
WARNING: Sequences tr_G1R0W6_G1R0W6_NOMLE_61853 and tr_H2PC25_H2PC25_PONAB_9601 are exactly identical!
WARNING: Sequences tr_G1R0W6_G1R0W6_NOMLE_61853 and sp_Q9BZK7_TBL1R_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G1R0W6_G1R0W6_NOMLE_61853 and tr_F7B9D1_F7B9D1_MACMU_9544 are exactly identical!
WARNING: Sequences tr_G1R0W6_G1R0W6_NOMLE_61853 and tr_G7NZ35_G7NZ35_MACFA_9541 are exactly identical!
WARNING: Sequences tr_G1R0W6_G1R0W6_NOMLE_61853 and tr_A0A096NXK0_A0A096NXK0_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_G1R0W6_G1R0W6_NOMLE_61853 and tr_A0A0D9RKG3_A0A0D9RKG3_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_G1R0W6_G1R0W6_NOMLE_61853 and tr_A0A2K5M6C8_A0A2K5M6C8_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G1R0W6_G1R0W6_NOMLE_61853 and tr_A0A2K5YIC2_A0A2K5YIC2_MANLE_9568 are exactly identical!
WARNING: Sequences tr_G3QX50_G3QX50_GORGO_9595 and sp_O60907_TBL1X_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_Q29N39_Q29N39_DROPS_46245 and tr_B4G8A4_B4G8A4_DROPE_7234 are exactly identical!
WARNING: Sequences tr_F7G392_F7G392_MONDO_13616 and tr_G3VTP6_G3VTP6_SARHA_9305 are exactly identical!
WARNING: Sequences tr_F6TT77_F6TT77_HORSE_9796 and tr_I3MMN1_I3MMN1_ICTTR_43179 are exactly identical!
WARNING: Sequences tr_F6TT77_F6TT77_HORSE_9796 and tr_F1SG23_F1SG23_PIG_9823 are exactly identical!
WARNING: Sequences tr_D3ZNF4_D3ZNF4_RAT_10116 and tr_A0A1U7R4X6_A0A1U7R4X6_MESAU_10036 are exactly identical!
WARNING: Sequences tr_A0A088ABG0_A0A088ABG0_APIME_7460 and tr_A0A0N0U2W8_A0A0N0U2W8_9HYME_166423 are exactly identical!
WARNING: Sequences tr_A0A088ABG0_A0A088ABG0_APIME_7460 and tr_A0A2A3E8Z3_A0A2A3E8Z3_APICC_94128 are exactly identical!
WARNING: Sequences tr_A0A158NMP9_A0A158NMP9_ATTCE_12957 and tr_F4X308_F4X308_ACREC_103372 are exactly identical!
WARNING: Sequences tr_A0A158NMP9_A0A158NMP9_ATTCE_12957 and tr_A0A151JTE1_A0A151JTE1_9HYME_34720 are exactly identical!
WARNING: Sequences tr_A0A0E0HZA9_A0A0E0HZA9_ORYNI_4536 and tr_B8B598_B8B598_ORYSI_39946 are exactly identical!
WARNING: Sequences tr_A0A0E0HZA9_A0A0E0HZA9_ORYNI_4536 and tr_I1Q9Z7_I1Q9Z7_ORYGL_4538 are exactly identical!
WARNING: Sequences tr_A0A0E0HZA9_A0A0E0HZA9_ORYNI_4536 and tr_A0A0E0AIJ5_A0A0E0AIJ5_9ORYZ_40148 are exactly identical!
WARNING: Sequences tr_A0A0E0HZA9_A0A0E0HZA9_ORYNI_4536 and tr_Q0D730_Q0D730_ORYSJ_39947 are exactly identical!
WARNING: Sequences tr_F4P212_F4P212_BATDJ_684364 and tr_A0A177WP67_A0A177WP67_BATDE_403673 are exactly identical!
WARNING: Sequences tr_L0PDA0_L0PDA0_PNEJ8_1209962 and tr_A0A0W4ZPZ3_A0A0W4ZPZ3_PNEJ7_1408657 are exactly identical!
WARNING: Sequences tr_A0A0A1NRC2_A0A0A1NRC2_9FUNG_58291 and tr_A0A2G4T7R3_A0A2G4T7R3_9FUNG_1340429 are exactly identical!
WARNING: Sequences tr_A0A151M6C2_A0A151M6C2_ALLMI_8496 and tr_A0A3Q0HCS9_A0A3Q0HCS9_ALLSI_38654 are exactly identical!
WARNING: Sequences tr_A0A151N0N2_A0A151N0N2_ALLMI_8496 and tr_A0A1U7S9M1_A0A1U7S9M1_ALLSI_38654 are exactly identical!
WARNING: Sequences tr_A0A091ECC6_A0A091ECC6_CORBR_85066 and tr_A0A087RIZ8_A0A087RIZ8_APTFO_9233 are exactly identical!
WARNING: Sequences tr_A0A091IL81_A0A091IL81_EGRGA_188379 and tr_A0A091HLU2_A0A091HLU2_CALAN_9244 are exactly identical!
WARNING: Sequences tr_A0A093PXA4_A0A093PXA4_9PASS_328815 and tr_A0A093G526_A0A093G526_DRYPU_118200 are exactly identical!
WARNING: Sequences tr_A0A091UP76_A0A091UP76_NIPNI_128390 and tr_A0A0A0AM37_A0A0A0AM37_CHAVO_50402 are exactly identical!
WARNING: Sequences tr_A0A091UP76_A0A091UP76_NIPNI_128390 and tr_A0A093IT63_A0A093IT63_DRYPU_118200 are exactly identical!
WARNING: Sequences tr_A0A091GLH8_A0A091GLH8_9AVES_55661 and tr_A0A0A0A2C0_A0A0A0A2C0_CHAVO_50402 are exactly identical!
WARNING: Sequences tr_A0A166P6R7_A0A166P6R7_9HOMO_436010 and tr_A0A167WWX5_A0A167WWX5_9HOMO_436010 are exactly identical!
WARNING: Sequences tr_A0A1S3XQ41_A0A1S3XQ41_TOBAC_4097 and tr_A0A1U7V082_A0A1U7V082_NICSY_4096 are exactly identical!
WARNING: Sequences tr_A0A1S3PBB8_A0A1S3PBB8_SALSA_8030 and tr_A0A060WX49_A0A060WX49_ONCMY_8022 are exactly identical!
WARNING: Sequences tr_A0A1S3TY00_A0A1S3TY00_VIGRR_3916 and tr_A0A3Q0EY38_A0A3Q0EY38_VIGRR_3916 are exactly identical!
WARNING: Sequences tr_A0A1S3VM44_A0A1S3VM44_VIGRR_3916 and tr_A0A3Q0EH17_A0A3Q0EH17_VIGRR_3916 are exactly identical!
WARNING: Sequences tr_A0A1U8GBW5_A0A1U8GBW5_CAPAN_4072 and tr_A0A2G3CPV9_A0A2G3CPV9_CAPCH_80379 are exactly identical!
WARNING: Duplicate sequences found: 67

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/Q9BZK7/3_mltree/Q9BZK7.raxml.reduced.phy

Alignment comprises 1 partitions and 461 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 461 / 461
Gaps: 13.51 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9BZK7/3_mltree/Q9BZK7.raxml.rba

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

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

[00:00:00] Generating 20 random starting tree(s) with 1001 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 66 / 5280
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -704826.690541] Initial branch length optimization
[00:00:03 -548920.396999] Model parameter optimization (eps = 10.000000)
[00:00:33 -546393.717001] AUTODETECT spr round 1 (radius: 5)
[00:02:00 -445311.206814] AUTODETECT spr round 2 (radius: 10)
[00:03:33 -385567.054096] AUTODETECT spr round 3 (radius: 15)
[00:05:23 -343123.593250] AUTODETECT spr round 4 (radius: 20)
[00:07:18 -331515.650415] AUTODETECT spr round 5 (radius: 25)
[00:09:31 -324153.066961] SPR radius for FAST iterations: 25 (autodetect)
[00:09:31 -324153.066961] Model parameter optimization (eps = 3.000000)
[00:09:51 -322212.554076] FAST spr round 1 (radius: 25)
[00:12:30 -266905.458637] FAST spr round 2 (radius: 25)
[00:14:25 -263498.889903] FAST spr round 3 (radius: 25)
[00:15:59 -263281.529638] FAST spr round 4 (radius: 25)
[00:17:24 -263238.413838] FAST spr round 5 (radius: 25)
[00:18:43 -263235.560050] FAST spr round 6 (radius: 25)
[00:19:58 -263235.558482] Model parameter optimization (eps = 1.000000)
[00:20:02 -263235.418909] SLOW spr round 1 (radius: 5)
[00:21:39 -263161.466813] SLOW spr round 2 (radius: 5)
[00:23:13 -263144.822051] SLOW spr round 3 (radius: 5)
[00:24:47 -263139.312836] SLOW spr round 4 (radius: 5)
[00:26:21 -263135.120713] SLOW spr round 5 (radius: 5)
[00:27:52 -263129.948147] SLOW spr round 6 (radius: 5)
[00:29:26 -263121.520687] SLOW spr round 7 (radius: 5)
[00:31:01 -263109.751678] SLOW spr round 8 (radius: 5)
[00:32:30 -263109.337376] SLOW spr round 9 (radius: 5)
[00:33:59 -263109.337210] SLOW spr round 10 (radius: 10)
[00:35:38 -263094.847833] SLOW spr round 11 (radius: 5)
[00:37:22 -263093.047900] SLOW spr round 12 (radius: 5)
[00:38:58 -263093.047165] SLOW spr round 13 (radius: 10)
[00:40:36 -263093.047126] SLOW spr round 14 (radius: 15)
[00:42:59 -263057.365760] SLOW spr round 15 (radius: 5)
[00:44:48 -263044.393341] SLOW spr round 16 (radius: 5)
[00:46:26 -263042.553132] SLOW spr round 17 (radius: 5)
[00:47:56 -263042.552147] SLOW spr round 18 (radius: 10)
[00:49:32 -263042.552113] SLOW spr round 19 (radius: 15)
[00:51:48 -263042.552107] SLOW spr round 20 (radius: 20)
[00:54:32 -263042.374171] SLOW spr round 21 (radius: 5)
[00:56:22 -263041.860651] SLOW spr round 22 (radius: 5)
[00:58:01 -263041.860645] SLOW spr round 23 (radius: 10)
[00:59:45 -262980.835553] SLOW spr round 24 (radius: 5)
[01:01:30 -262941.925805] SLOW spr round 25 (radius: 5)
[01:03:03 -262941.925692] SLOW spr round 26 (radius: 10)
[01:04:40 -262941.925687] SLOW spr round 27 (radius: 15)
[01:06:55 -262941.925683] SLOW spr round 28 (radius: 20)
[01:09:42 -262941.925678] SLOW spr round 29 (radius: 25)
[01:12:47 -262941.925673] Model parameter optimization (eps = 0.100000)

[01:12:49] ML tree search #1, logLikelihood: -262941.922880

[01:12:49 -700118.532831] Initial branch length optimization
[01:12:52 -547907.446015] Model parameter optimization (eps = 10.000000)
[01:13:27 -545564.378280] AUTODETECT spr round 1 (radius: 5)
[01:14:53 -448951.262172] AUTODETECT spr round 2 (radius: 10)
[01:16:31 -382009.570460] AUTODETECT spr round 3 (radius: 15)
[01:18:12 -343246.532213] AUTODETECT spr round 4 (radius: 20)
[01:20:08 -307272.249716] AUTODETECT spr round 5 (radius: 25)
[01:22:17 -296751.183454] SPR radius for FAST iterations: 25 (autodetect)
[01:22:17 -296751.183454] Model parameter optimization (eps = 3.000000)
[01:22:39 -295097.869533] FAST spr round 1 (radius: 25)
[01:24:56 -264705.966154] FAST spr round 2 (radius: 25)
[01:26:42 -263239.708222] FAST spr round 3 (radius: 25)
[01:28:14 -263046.793872] FAST spr round 4 (radius: 25)
[01:29:39 -263003.975116] FAST spr round 5 (radius: 25)
[01:31:02 -262999.779939] FAST spr round 6 (radius: 25)
[01:32:21 -262989.657540] FAST spr round 7 (radius: 25)
[01:33:36 -262985.839616] FAST spr round 8 (radius: 25)
[01:34:50 -262985.839419] Model parameter optimization (eps = 1.000000)
[01:35:01 -262975.185186] SLOW spr round 1 (radius: 5)
[01:36:32 -262894.570695] SLOW spr round 2 (radius: 5)
[01:38:04 -262889.129735] SLOW spr round 3 (radius: 5)
[01:39:34 -262889.077567] SLOW spr round 4 (radius: 10)
[01:41:09 -262881.069070] SLOW spr round 5 (radius: 5)
[01:42:53 -262881.068702] SLOW spr round 6 (radius: 10)
[01:44:35 -262881.068645] SLOW spr round 7 (radius: 15)
[01:46:49 -262878.735939] SLOW spr round 8 (radius: 5)
[01:48:37 -262878.734816] SLOW spr round 9 (radius: 10)
[01:50:22 -262878.734772] SLOW spr round 10 (radius: 15)
[01:52:34 -262878.734743] SLOW spr round 11 (radius: 20)
[01:55:29 -262875.619009] SLOW spr round 12 (radius: 5)
[01:57:20 -262875.618977] SLOW spr round 13 (radius: 10)
[01:59:09 -262875.618949] SLOW spr round 14 (radius: 15)
[02:01:22 -262875.618921] SLOW spr round 15 (radius: 20)
[02:04:17 -262875.618892] SLOW spr round 16 (radius: 25)
[02:07:31 -262874.470468] SLOW spr round 17 (radius: 5)
[02:09:23 -262873.509864] SLOW spr round 18 (radius: 5)
[02:11:02 -262873.509832] SLOW spr round 19 (radius: 10)
[02:12:41 -262873.509768] SLOW spr round 20 (radius: 15)
[02:14:55 -262873.509739] SLOW spr round 21 (radius: 20)
[02:17:49 -262873.509712] SLOW spr round 22 (radius: 25)
[02:21:03 -262873.509684] Model parameter optimization (eps = 0.100000)

[02:21:09] ML tree search #2, logLikelihood: -262873.273266

[02:21:10 -699663.724614] Initial branch length optimization
[02:21:12 -544475.480763] Model parameter optimization (eps = 10.000000)
[02:21:40 -542252.136657] AUTODETECT spr round 1 (radius: 5)
[02:23:05 -451636.134272] AUTODETECT spr round 2 (radius: 10)
[02:24:39 -385749.854696] AUTODETECT spr round 3 (radius: 15)
[02:26:22 -347369.087744] AUTODETECT spr round 4 (radius: 20)
[02:28:16 -326254.137575] AUTODETECT spr round 5 (radius: 25)
[02:30:27 -310679.959490] SPR radius for FAST iterations: 25 (autodetect)
[02:30:27 -310679.959490] Model parameter optimization (eps = 3.000000)
[02:30:45 -309421.720741] FAST spr round 1 (radius: 25)
[02:33:11 -265309.291423] FAST spr round 2 (radius: 25)
[02:34:56 -263231.020997] FAST spr round 3 (radius: 25)
[02:36:27 -263074.530159] FAST spr round 4 (radius: 25)
[02:37:52 -263038.329382] FAST spr round 5 (radius: 25)
[02:39:11 -263029.522324] FAST spr round 6 (radius: 25)
[02:40:27 -263029.522256] Model parameter optimization (eps = 1.000000)
[02:40:38 -263019.432900] SLOW spr round 1 (radius: 5)
[02:42:10 -262933.539485] SLOW spr round 2 (radius: 5)
[02:43:44 -262903.591471] SLOW spr round 3 (radius: 5)
[02:45:16 -262895.196871] SLOW spr round 4 (radius: 5)
[02:46:46 -262895.196407] SLOW spr round 5 (radius: 10)
[02:48:22 -262887.879753] SLOW spr round 6 (radius: 5)
[02:50:05 -262887.879249] SLOW spr round 7 (radius: 10)
[02:51:47 -262887.879198] SLOW spr round 8 (radius: 15)
[02:54:00 -262887.879167] SLOW spr round 9 (radius: 20)
[02:56:48 -262886.512368] SLOW spr round 10 (radius: 5)
[02:58:38 -262886.512319] SLOW spr round 11 (radius: 10)
[03:00:26 -262886.512288] SLOW spr round 12 (radius: 15)
[03:02:38 -262886.512257] SLOW spr round 13 (radius: 20)
[03:05:21 -262886.512227] SLOW spr round 14 (radius: 25)
[03:08:29 -262886.512196] Model parameter optimization (eps = 0.100000)

[03:08:38] ML tree search #3, logLikelihood: -262885.702648

[03:08:38 -702174.566994] Initial branch length optimization
[03:08:40 -548702.433311] Model parameter optimization (eps = 10.000000)
[03:09:13 -546274.009096] AUTODETECT spr round 1 (radius: 5)
[03:10:39 -444564.580892] AUTODETECT spr round 2 (radius: 10)
[03:12:14 -375474.405517] AUTODETECT spr round 3 (radius: 15)
[03:14:01 -322821.424868] AUTODETECT spr round 4 (radius: 20)
[03:16:00 -297313.206906] AUTODETECT spr round 5 (radius: 25)
[03:18:29 -289495.622818] SPR radius for FAST iterations: 25 (autodetect)
[03:18:29 -289495.622818] Model parameter optimization (eps = 3.000000)
[03:18:36 -289472.314337] FAST spr round 1 (radius: 25)
[03:21:09 -265112.837283] FAST spr round 2 (radius: 25)
[03:22:54 -263983.668380] FAST spr round 3 (radius: 25)
[03:24:25 -263901.825412] FAST spr round 4 (radius: 25)
[03:25:47 -263878.804103] FAST spr round 5 (radius: 25)
[03:27:05 -263878.323168] FAST spr round 6 (radius: 25)
[03:28:20 -263878.323119] Model parameter optimization (eps = 1.000000)
[03:28:35 -263000.840287] SLOW spr round 1 (radius: 5)
[03:30:08 -262886.933361] SLOW spr round 2 (radius: 5)
[03:31:37 -262867.278178] SLOW spr round 3 (radius: 5)
[03:33:04 -262867.105249] SLOW spr round 4 (radius: 5)
[03:34:31 -262867.104956] SLOW spr round 5 (radius: 10)
[03:36:07 -262850.823644] SLOW spr round 6 (radius: 5)
[03:37:52 -262841.133018] SLOW spr round 7 (radius: 5)
[03:39:27 -262841.132993] SLOW spr round 8 (radius: 10)
[03:41:04 -262841.132967] SLOW spr round 9 (radius: 15)
[03:43:21 -262837.965348] SLOW spr round 10 (radius: 5)
[03:45:09 -262837.965193] SLOW spr round 11 (radius: 10)
[03:46:56 -262837.964762] SLOW spr round 12 (radius: 15)
[03:49:08 -262837.964737] SLOW spr round 13 (radius: 20)
[03:51:56 -262837.739154] SLOW spr round 14 (radius: 5)
[03:53:45 -262837.739128] SLOW spr round 15 (radius: 10)
[03:55:35 -262837.739097] SLOW spr round 16 (radius: 15)
[03:57:47 -262837.739070] SLOW spr round 17 (radius: 20)
[04:00:35 -262837.739043] SLOW spr round 18 (radius: 25)
[04:03:49 -262837.739015] Model parameter optimization (eps = 0.100000)

[04:03:56] ML tree search #4, logLikelihood: -262837.250464

[04:03:56 -702428.836396] Initial branch length optimization
[04:03:59 -545772.507215] Model parameter optimization (eps = 10.000000)
[04:04:24 -543433.308981] AUTODETECT spr round 1 (radius: 5)
[04:05:50 -450066.698044] AUTODETECT spr round 2 (radius: 10)
[04:07:23 -379365.858148] AUTODETECT spr round 3 (radius: 15)
[04:09:15 -328155.155395] AUTODETECT spr round 4 (radius: 20)
[04:11:12 -305284.233520] AUTODETECT spr round 5 (radius: 25)
[04:13:18 -292428.464908] SPR radius for FAST iterations: 25 (autodetect)
[04:13:18 -292428.464908] Model parameter optimization (eps = 3.000000)
[04:13:24 -292394.289588] FAST spr round 1 (radius: 25)
[04:16:09 -265755.679536] FAST spr round 2 (radius: 25)
[04:18:04 -264442.506872] FAST spr round 3 (radius: 25)
[04:19:33 -264293.983312] FAST spr round 4 (radius: 25)
[04:20:55 -264259.300806] FAST spr round 5 (radius: 25)
[04:22:10 -264259.297281] Model parameter optimization (eps = 1.000000)
[04:22:13 -264259.177815] SLOW spr round 1 (radius: 5)
[04:23:46 -264187.074061] SLOW spr round 2 (radius: 5)
[04:25:15 -264182.833959] SLOW spr round 3 (radius: 5)
[04:26:45 -264180.220949] SLOW spr round 4 (radius: 5)
[04:28:11 -264176.105769] SLOW spr round 5 (radius: 5)
[04:29:36 -264176.104954] SLOW spr round 6 (radius: 10)
[04:31:06 -264169.840233] SLOW spr round 7 (radius: 5)
[04:32:51 -264167.115208] SLOW spr round 8 (radius: 5)
[04:34:35 -264164.336860] SLOW spr round 9 (radius: 5)
[04:36:10 -264164.335626] SLOW spr round 10 (radius: 10)
[04:37:46 -264164.335611] SLOW spr round 11 (radius: 15)
[04:40:02 -264164.332164] SLOW spr round 12 (radius: 20)
[04:42:54 -264159.459242] SLOW spr round 13 (radius: 5)
[04:44:43 -264159.459241] SLOW spr round 14 (radius: 10)
[04:46:31 -264159.459240] SLOW spr round 15 (radius: 15)
[04:48:41 -264159.459239] SLOW spr round 16 (radius: 20)
[04:51:31 -264159.459239] SLOW spr round 17 (radius: 25)
[04:54:41 -264159.459239] Model parameter optimization (eps = 0.100000)

[04:55:01] ML tree search #5, logLikelihood: -262928.872756

[04:55:01 -698787.969349] Initial branch length optimization
[04:55:03 -545411.237608] Model parameter optimization (eps = 10.000000)
[04:55:32 -543057.496922] AUTODETECT spr round 1 (radius: 5)
[04:56:59 -450491.293812] AUTODETECT spr round 2 (radius: 10)
[04:58:32 -385873.930681] AUTODETECT spr round 3 (radius: 15)
[05:00:17 -348055.239236] AUTODETECT spr round 4 (radius: 20)
[05:02:09 -334934.103071] AUTODETECT spr round 5 (radius: 25)
[05:04:16 -317843.719165] SPR radius for FAST iterations: 25 (autodetect)
[05:04:16 -317843.719165] Model parameter optimization (eps = 3.000000)
[05:04:32 -316221.749446] FAST spr round 1 (radius: 25)
[05:07:13 -266159.020897] FAST spr round 2 (radius: 25)
[05:09:10 -263233.117618] FAST spr round 3 (radius: 25)
[05:10:48 -263080.624507] FAST spr round 4 (radius: 25)
[05:12:13 -263051.106524] FAST spr round 5 (radius: 25)
[05:13:31 -263047.391081] FAST spr round 6 (radius: 25)
[05:14:49 -263047.390764] Model parameter optimization (eps = 1.000000)
[05:14:53 -263047.347454] SLOW spr round 1 (radius: 5)
[05:16:25 -262961.739693] SLOW spr round 2 (radius: 5)
[05:18:00 -262953.655866] SLOW spr round 3 (radius: 5)
[05:19:30 -262953.188616] SLOW spr round 4 (radius: 5)
[05:20:59 -262953.188020] SLOW spr round 5 (radius: 10)
[05:22:34 -262950.058856] SLOW spr round 6 (radius: 5)
[05:24:18 -262949.525476] SLOW spr round 7 (radius: 5)
[05:25:54 -262949.525462] SLOW spr round 8 (radius: 10)
[05:27:32 -262949.525460] SLOW spr round 9 (radius: 15)
[05:29:54 -262940.193487] SLOW spr round 10 (radius: 5)
[05:31:44 -262926.797328] SLOW spr round 11 (radius: 5)
[05:33:22 -262926.181776] SLOW spr round 12 (radius: 5)
[05:34:55 -262926.181541] SLOW spr round 13 (radius: 10)
[05:36:31 -262926.181538] SLOW spr round 14 (radius: 15)
[05:38:50 -262926.181537] SLOW spr round 15 (radius: 20)
[05:41:44 -262926.181537] SLOW spr round 16 (radius: 25)
[05:45:04 -262926.181536] Model parameter optimization (eps = 0.100000)

[05:45:07] ML tree search #6, logLikelihood: -262926.150760

[05:45:07 -706503.879276] Initial branch length optimization
[05:45:09 -546120.751370] Model parameter optimization (eps = 10.000000)
[05:45:28 -543819.926266] AUTODETECT spr round 1 (radius: 5)
[05:46:54 -443710.716774] AUTODETECT spr round 2 (radius: 10)
[05:48:26 -381095.256809] AUTODETECT spr round 3 (radius: 15)
[05:50:07 -347166.320604] AUTODETECT spr round 4 (radius: 20)
[05:52:02 -316812.425055] AUTODETECT spr round 5 (radius: 25)
[05:54:05 -305931.871729] SPR radius for FAST iterations: 25 (autodetect)
[05:54:05 -305931.871729] Model parameter optimization (eps = 3.000000)
[05:54:12 -305903.182309] FAST spr round 1 (radius: 25)
[05:56:57 -266793.242930] FAST spr round 2 (radius: 25)
[05:58:50 -264107.654166] FAST spr round 3 (radius: 25)
[06:00:27 -263899.656023] FAST spr round 4 (radius: 25)
[06:01:53 -263868.557514] FAST spr round 5 (radius: 25)
[06:03:13 -263858.595790] FAST spr round 6 (radius: 25)
[06:04:30 -263858.595417] Model parameter optimization (eps = 1.000000)
[06:04:35 -263857.550671] SLOW spr round 1 (radius: 5)
[06:06:08 -263779.814333] SLOW spr round 2 (radius: 5)
[06:07:40 -263776.204184] SLOW spr round 3 (radius: 5)
[06:09:09 -263775.019305] SLOW spr round 4 (radius: 5)
[06:10:35 -263775.019150] SLOW spr round 5 (radius: 10)
[06:12:07 -263761.678983] SLOW spr round 6 (radius: 5)
[06:13:47 -263755.371546] SLOW spr round 7 (radius: 5)
[06:15:19 -263755.371339] SLOW spr round 8 (radius: 10)
[06:16:51 -263755.371245] SLOW spr round 9 (radius: 15)
[06:18:58 -263755.371151] SLOW spr round 10 (radius: 20)
[06:21:38 -263755.371058] SLOW spr round 11 (radius: 25)
[06:24:52 -263755.370964] Model parameter optimization (eps = 0.100000)

[06:24:55] ML tree search #7, logLikelihood: -263755.365447

[06:24:55 -704790.700958] Initial branch length optimization
[06:24:58 -548346.891167] Model parameter optimization (eps = 10.000000)
[06:25:25 -545855.500635] AUTODETECT spr round 1 (radius: 5)
[06:26:50 -446859.237715] AUTODETECT spr round 2 (radius: 10)
[06:28:26 -369168.282102] AUTODETECT spr round 3 (radius: 15)
[06:30:17 -326852.659376] AUTODETECT spr round 4 (radius: 20)
[06:32:18 -300360.698161] AUTODETECT spr round 5 (radius: 25)
[06:34:35 -293248.386117] SPR radius for FAST iterations: 25 (autodetect)
[06:34:35 -293248.386117] Model parameter optimization (eps = 3.000000)
[06:34:41 -293219.923402] FAST spr round 1 (radius: 25)
[06:37:25 -265527.933657] FAST spr round 2 (radius: 25)
[06:39:13 -264515.644340] FAST spr round 3 (radius: 25)
[06:40:45 -264348.660405] FAST spr round 4 (radius: 25)
[06:42:07 -264339.157826] FAST spr round 5 (radius: 25)
[06:43:24 -264335.791124] FAST spr round 6 (radius: 25)
[06:44:40 -264335.791076] Model parameter optimization (eps = 1.000000)
[06:44:58 -263043.414955] SLOW spr round 1 (radius: 5)
[06:46:29 -262935.240234] SLOW spr round 2 (radius: 5)
[06:48:00 -262909.930942] SLOW spr round 3 (radius: 5)
[06:49:31 -262908.213920] SLOW spr round 4 (radius: 5)
[06:51:02 -262906.167016] SLOW spr round 5 (radius: 5)
[06:52:33 -262903.774627] SLOW spr round 6 (radius: 5)
[06:54:02 -262903.772796] SLOW spr round 7 (radius: 10)
[06:55:37 -262893.393703] SLOW spr round 8 (radius: 5)
[06:57:21 -262892.802025] SLOW spr round 9 (radius: 5)
[06:58:57 -262892.430849] SLOW spr round 10 (radius: 5)
[07:00:29 -262892.430561] SLOW spr round 11 (radius: 10)
[07:02:05 -262892.430523] SLOW spr round 12 (radius: 15)
[07:04:22 -262876.878033] SLOW spr round 13 (radius: 5)
[07:06:13 -262869.692926] SLOW spr round 14 (radius: 5)
[07:07:51 -262868.293044] SLOW spr round 15 (radius: 5)
[07:09:24 -262868.292952] SLOW spr round 16 (radius: 10)
[07:11:01 -262863.460628] SLOW spr round 17 (radius: 5)
[07:12:46 -262862.467126] SLOW spr round 18 (radius: 5)
[07:14:20 -262862.467074] SLOW spr round 19 (radius: 10)
[07:15:56 -262862.467066] SLOW spr round 20 (radius: 15)
[07:18:11 -262862.467057] SLOW spr round 21 (radius: 20)
[07:21:04 -262862.467050] SLOW spr round 22 (radius: 25)
[07:24:24 -262862.467042] Model parameter optimization (eps = 0.100000)

[07:24:34] ML tree search #8, logLikelihood: -262860.487256

[07:24:34 -701856.558758] Initial branch length optimization
[07:24:36 -547330.686317] Model parameter optimization (eps = 10.000000)
[07:24:54 -544914.922911] AUTODETECT spr round 1 (radius: 5)
[07:26:20 -447523.074179] AUTODETECT spr round 2 (radius: 10)
[07:27:54 -382208.119427] AUTODETECT spr round 3 (radius: 15)
[07:29:44 -330684.727259] AUTODETECT spr round 4 (radius: 20)
[07:31:46 -293904.720559] AUTODETECT spr round 5 (radius: 25)
[07:33:58 -290411.002308] SPR radius for FAST iterations: 25 (autodetect)
[07:33:58 -290411.002308] Model parameter optimization (eps = 3.000000)
[07:34:04 -290384.029561] FAST spr round 1 (radius: 25)
[07:36:32 -265050.716244] FAST spr round 2 (radius: 25)
[07:38:24 -264099.316697] FAST spr round 3 (radius: 25)
[07:40:01 -263973.587465] FAST spr round 4 (radius: 25)
[07:41:25 -263962.025220] FAST spr round 5 (radius: 25)
[07:42:43 -263962.025106] Model parameter optimization (eps = 1.000000)
[07:42:47 -263961.706823] SLOW spr round 1 (radius: 5)
[07:44:25 -263862.370344] SLOW spr round 2 (radius: 5)
[07:45:59 -263846.316656] SLOW spr round 3 (radius: 5)
[07:47:31 -263834.848388] SLOW spr round 4 (radius: 5)
[07:48:59 -263834.832702] SLOW spr round 5 (radius: 10)
[07:50:38 -263819.701230] SLOW spr round 6 (radius: 5)
[07:52:27 -263791.663307] SLOW spr round 7 (radius: 5)
[07:54:04 -263790.473687] SLOW spr round 8 (radius: 5)
[07:55:36 -263790.473570] SLOW spr round 9 (radius: 10)
[07:57:13 -263790.221472] SLOW spr round 10 (radius: 5)
[07:58:56 -263790.221441] SLOW spr round 11 (radius: 10)
[08:00:37 -263790.221440] SLOW spr round 12 (radius: 15)
[08:02:48 -263790.221440] SLOW spr round 13 (radius: 20)
[08:05:34 -263790.221440] SLOW spr round 14 (radius: 25)
[08:08:46 -263790.221440] Model parameter optimization (eps = 0.100000)

[08:08:51] ML tree search #9, logLikelihood: -263790.001735

[08:08:52 -709274.523276] Initial branch length optimization
[08:08:54 -549171.300930] Model parameter optimization (eps = 10.000000)
[08:09:26 -546590.469129] AUTODETECT spr round 1 (radius: 5)
[08:10:53 -445579.313705] AUTODETECT spr round 2 (radius: 10)
[08:12:28 -379054.843516] AUTODETECT spr round 3 (radius: 15)
[08:14:14 -337657.615809] AUTODETECT spr round 4 (radius: 20)
[08:16:08 -306356.431914] AUTODETECT spr round 5 (radius: 25)
[08:18:19 -298409.257261] SPR radius for FAST iterations: 25 (autodetect)
[08:18:19 -298409.257261] Model parameter optimization (eps = 3.000000)
[08:18:25 -298387.391861] FAST spr round 1 (radius: 25)
[08:20:56 -268005.109446] FAST spr round 2 (radius: 25)
[08:22:50 -265965.490433] FAST spr round 3 (radius: 25)
[08:24:28 -264520.319973] FAST spr round 4 (radius: 25)
[08:25:59 -264327.557454] FAST spr round 5 (radius: 25)
[08:27:24 -264313.014751] FAST spr round 6 (radius: 25)
[08:28:41 -264313.008606] Model parameter optimization (eps = 1.000000)
[08:28:46 -264311.184123] SLOW spr round 1 (radius: 5)
[08:30:22 -264235.830218] SLOW spr round 2 (radius: 5)
[08:31:56 -264224.777206] SLOW spr round 3 (radius: 5)
[08:33:31 -264210.940557] SLOW spr round 4 (radius: 5)
[08:35:00 -264210.940462] SLOW spr round 5 (radius: 10)
[08:36:36 -264209.143568] SLOW spr round 6 (radius: 5)
[08:38:19 -264209.143409] SLOW spr round 7 (radius: 10)
[08:40:03 -264209.143405] SLOW spr round 8 (radius: 15)
[08:42:16 -264209.143405] SLOW spr round 9 (radius: 20)
[08:45:18 -264205.320179] SLOW spr round 10 (radius: 5)
[08:47:07 -264205.320149] SLOW spr round 11 (radius: 10)
[08:48:57 -264205.320148] SLOW spr round 12 (radius: 15)
[08:51:10 -264205.320148] SLOW spr round 13 (radius: 20)
[08:54:11 -264205.320147] SLOW spr round 14 (radius: 25)
[08:57:39 -264204.315302] SLOW spr round 15 (radius: 5)
[08:59:30 -264204.314018] SLOW spr round 16 (radius: 10)
[09:01:23 -264204.313868] SLOW spr round 17 (radius: 15)
[09:03:36 -264204.313714] SLOW spr round 18 (radius: 20)
[09:06:36 -264204.313556] SLOW spr round 19 (radius: 25)
[09:10:04 -264204.313395] Model parameter optimization (eps = 0.100000)

[09:10:06] ML tree search #10, logLikelihood: -264204.309883

[09:10:07 -700570.754310] Initial branch length optimization
[09:10:08 -544919.326699] Model parameter optimization (eps = 10.000000)
[09:10:37 -542496.773712] AUTODETECT spr round 1 (radius: 5)
[09:12:06 -453854.114960] AUTODETECT spr round 2 (radius: 10)
[09:13:41 -386414.499335] AUTODETECT spr round 3 (radius: 15)
[09:15:29 -346349.765538] AUTODETECT spr round 4 (radius: 20)
[09:17:18 -316524.551806] AUTODETECT spr round 5 (radius: 25)
[09:19:38 -299111.973718] SPR radius for FAST iterations: 25 (autodetect)
[09:19:38 -299111.973718] Model parameter optimization (eps = 3.000000)
[09:19:44 -299091.933726] FAST spr round 1 (radius: 25)
[09:22:17 -265791.718615] FAST spr round 2 (radius: 25)
[09:24:11 -264304.287169] FAST spr round 3 (radius: 25)
[09:25:50 -264204.277370] FAST spr round 4 (radius: 25)
[09:27:13 -264199.293994] FAST spr round 5 (radius: 25)
[09:28:31 -264197.971016] FAST spr round 6 (radius: 25)
[09:29:47 -264197.970942] Model parameter optimization (eps = 1.000000)
[09:29:53 -264195.403928] SLOW spr round 1 (radius: 5)
[09:31:29 -264083.463459] SLOW spr round 2 (radius: 5)
[09:33:05 -264059.182387] SLOW spr round 3 (radius: 5)
[09:34:38 -264056.072233] SLOW spr round 4 (radius: 5)
[09:36:12 -264035.004859] SLOW spr round 5 (radius: 5)
[09:37:45 -264028.963523] SLOW spr round 6 (radius: 5)
[09:39:16 -264028.183327] SLOW spr round 7 (radius: 5)
[09:40:44 -264028.182165] SLOW spr round 8 (radius: 10)
[09:42:21 -264021.962987] SLOW spr round 9 (radius: 5)
[09:44:08 -264017.456166] SLOW spr round 10 (radius: 5)
[09:45:45 -264017.268784] SLOW spr round 11 (radius: 5)
[09:47:18 -264017.268379] SLOW spr round 12 (radius: 10)
[09:48:54 -264017.268369] SLOW spr round 13 (radius: 15)
[09:51:12 -264013.076844] SLOW spr round 14 (radius: 5)
[09:53:02 -264007.370417] SLOW spr round 15 (radius: 5)
[09:54:44 -264003.757160] SLOW spr round 16 (radius: 5)
[09:56:17 -264003.757068] SLOW spr round 17 (radius: 10)
[09:57:53 -264003.757066] SLOW spr round 18 (radius: 15)
[10:00:09 -264003.757066] SLOW spr round 19 (radius: 20)
[10:03:01 -264003.757065] SLOW spr round 20 (radius: 25)
[10:06:17 -264003.757065] Model parameter optimization (eps = 0.100000)

[10:06:21] ML tree search #11, logLikelihood: -264003.751622

[10:06:21 -699478.062649] Initial branch length optimization
[10:06:23 -545312.843433] Model parameter optimization (eps = 10.000000)
[10:06:42 -543016.228660] AUTODETECT spr round 1 (radius: 5)
[10:08:11 -446619.397096] AUTODETECT spr round 2 (radius: 10)
[10:09:46 -378793.203309] AUTODETECT spr round 3 (radius: 15)
[10:11:29 -338682.283432] AUTODETECT spr round 4 (radius: 20)
[10:13:28 -319249.151544] AUTODETECT spr round 5 (radius: 25)
[10:15:30 -303769.760116] SPR radius for FAST iterations: 25 (autodetect)
[10:15:30 -303769.760116] Model parameter optimization (eps = 3.000000)
[10:15:36 -303741.356631] FAST spr round 1 (radius: 25)
[10:18:16 -265543.754043] FAST spr round 2 (radius: 25)
[10:20:08 -264036.337531] FAST spr round 3 (radius: 25)
[10:21:42 -263866.012783] FAST spr round 4 (radius: 25)
[10:23:08 -263826.752925] FAST spr round 5 (radius: 25)
[10:24:28 -263821.002745] FAST spr round 6 (radius: 25)
[10:25:45 -263820.999238] Model parameter optimization (eps = 1.000000)
[10:26:01 -263010.463301] SLOW spr round 1 (radius: 5)
[10:27:34 -262912.987877] SLOW spr round 2 (radius: 5)
[10:29:07 -262899.499362] SLOW spr round 3 (radius: 5)
[10:30:38 -262898.705120] SLOW spr round 4 (radius: 5)
[10:32:08 -262897.485141] SLOW spr round 5 (radius: 5)
[10:33:37 -262897.484648] SLOW spr round 6 (radius: 10)
[10:35:13 -262885.221525] SLOW spr round 7 (radius: 5)
[10:36:59 -262878.575117] SLOW spr round 8 (radius: 5)
[10:38:36 -262877.936332] SLOW spr round 9 (radius: 5)
[10:40:09 -262875.136385] SLOW spr round 10 (radius: 5)
[10:41:38 -262875.136332] SLOW spr round 11 (radius: 10)
[10:43:13 -262875.136330] SLOW spr round 12 (radius: 15)
[10:45:31 -262875.136328] SLOW spr round 13 (radius: 20)
[10:48:24 -262873.485043] SLOW spr round 14 (radius: 5)
[10:50:17 -262865.799795] SLOW spr round 15 (radius: 5)
[10:51:58 -262865.150968] SLOW spr round 16 (radius: 5)
[10:53:32 -262865.148384] SLOW spr round 17 (radius: 10)
[10:55:09 -262863.567822] SLOW spr round 18 (radius: 5)
[10:56:53 -262862.615377] SLOW spr round 19 (radius: 5)
[10:58:30 -262856.917102] SLOW spr round 20 (radius: 5)
[11:00:02 -262856.775427] SLOW spr round 21 (radius: 5)
[11:01:32 -262856.775142] SLOW spr round 22 (radius: 10)
[11:03:08 -262855.990090] SLOW spr round 23 (radius: 5)
[11:04:51 -262855.990034] SLOW spr round 24 (radius: 10)
[11:06:34 -262855.990033] SLOW spr round 25 (radius: 15)
[11:08:48 -262855.990032] SLOW spr round 26 (radius: 20)
[11:11:41 -262855.765335] SLOW spr round 27 (radius: 5)
[11:13:31 -262855.765194] SLOW spr round 28 (radius: 10)
[11:15:21 -262855.765159] SLOW spr round 29 (radius: 15)
[11:17:34 -262855.765152] SLOW spr round 30 (radius: 20)
[11:20:28 -262855.765114] SLOW spr round 31 (radius: 25)
[11:23:46 -262855.765113] Model parameter optimization (eps = 0.100000)

[11:23:57] ML tree search #12, logLikelihood: -262854.360143

[11:23:57 -700823.765111] Initial branch length optimization
[11:23:59 -544870.395402] Model parameter optimization (eps = 10.000000)
[11:24:21 -542658.810066] AUTODETECT spr round 1 (radius: 5)
[11:25:47 -441516.267071] AUTODETECT spr round 2 (radius: 10)
[11:27:21 -384954.208867] AUTODETECT spr round 3 (radius: 15)
[11:29:04 -343530.410089] AUTODETECT spr round 4 (radius: 20)
[11:31:01 -304971.637669] AUTODETECT spr round 5 (radius: 25)
[11:33:02 -297756.110186] SPR radius for FAST iterations: 25 (autodetect)
[11:33:02 -297756.110186] Model parameter optimization (eps = 3.000000)
[11:33:08 -297722.914623] FAST spr round 1 (radius: 25)
[11:35:37 -264868.820778] FAST spr round 2 (radius: 25)
[11:37:31 -264054.046178] FAST spr round 3 (radius: 25)
[11:39:09 -263853.517886] FAST spr round 4 (radius: 25)
[11:40:37 -263830.194712] FAST spr round 5 (radius: 25)
[11:41:56 -263827.385260] FAST spr round 6 (radius: 25)
[11:43:12 -263827.385187] Model parameter optimization (eps = 1.000000)
[11:43:15 -263826.975374] SLOW spr round 1 (radius: 5)
[11:44:52 -263740.263774] SLOW spr round 2 (radius: 5)
[11:46:25 -263731.911618] SLOW spr round 3 (radius: 5)
[11:47:58 -263723.812632] SLOW spr round 4 (radius: 5)
[11:49:29 -263710.111550] SLOW spr round 5 (radius: 5)
[11:50:58 -263709.344180] SLOW spr round 6 (radius: 5)
[11:52:26 -263709.344156] SLOW spr round 7 (radius: 10)
[11:54:02 -263694.562573] SLOW spr round 8 (radius: 5)
[11:55:47 -263692.489929] SLOW spr round 9 (radius: 5)
[11:57:23 -263692.489653] SLOW spr round 10 (radius: 10)
[11:59:01 -263685.474330] SLOW spr round 11 (radius: 5)
[12:00:47 -263682.556239] SLOW spr round 12 (radius: 5)
[12:02:23 -263682.556002] SLOW spr round 13 (radius: 10)
[12:04:00 -263682.555992] SLOW spr round 14 (radius: 15)
[12:06:16 -263682.555991] SLOW spr round 15 (radius: 20)
[12:09:09 -263682.555991] SLOW spr round 16 (radius: 25)
[12:12:31 -263682.555991] Model parameter optimization (eps = 0.100000)

[12:12:35] ML tree search #13, logLikelihood: -263682.537797

[12:12:35 -700612.438721] Initial branch length optimization
[12:12:37 -546432.237964] Model parameter optimization (eps = 10.000000)
[12:13:03 -544149.549285] AUTODETECT spr round 1 (radius: 5)
[12:14:29 -447143.870625] AUTODETECT spr round 2 (radius: 10)
[12:16:03 -380433.146648] AUTODETECT spr round 3 (radius: 15)
[12:17:47 -344388.960725] AUTODETECT spr round 4 (radius: 20)
[12:19:42 -325471.609564] AUTODETECT spr round 5 (radius: 25)
[12:21:54 -306095.571239] SPR radius for FAST iterations: 25 (autodetect)
[12:21:54 -306095.571239] Model parameter optimization (eps = 3.000000)
[12:22:12 -304735.180540] FAST spr round 1 (radius: 25)
[12:24:29 -264616.532856] FAST spr round 2 (radius: 25)
[12:26:16 -263268.472637] FAST spr round 3 (radius: 25)
[12:27:49 -263064.912946] FAST spr round 4 (radius: 25)
[12:29:13 -263052.768659] FAST spr round 5 (radius: 25)
[12:30:31 -263050.407710] FAST spr round 6 (radius: 25)
[12:31:48 -263050.407671] Model parameter optimization (eps = 1.000000)
[12:32:00 -263020.950571] SLOW spr round 1 (radius: 5)
[12:33:33 -262933.030489] SLOW spr round 2 (radius: 5)
[12:35:06 -262913.732101] SLOW spr round 3 (radius: 5)
[12:36:38 -262912.246884] SLOW spr round 4 (radius: 5)
[12:38:08 -262912.246224] SLOW spr round 5 (radius: 10)
[12:39:43 -262903.914071] SLOW spr round 6 (radius: 5)
[12:41:29 -262901.036093] SLOW spr round 7 (radius: 5)
[12:43:06 -262898.614477] SLOW spr round 8 (radius: 5)
[12:44:39 -262898.613919] SLOW spr round 9 (radius: 10)
[12:46:15 -262898.613894] SLOW spr round 10 (radius: 15)
[12:48:35 -262894.626185] SLOW spr round 11 (radius: 5)
[12:50:24 -262894.624287] SLOW spr round 12 (radius: 10)
[12:52:12 -262894.624237] SLOW spr round 13 (radius: 15)
[12:54:26 -262894.624213] SLOW spr round 14 (radius: 20)
[12:57:22 -262894.624188] SLOW spr round 15 (radius: 25)
[13:00:39 -262894.624164] Model parameter optimization (eps = 0.100000)

[13:00:45] ML tree search #14, logLikelihood: -262894.542487

[13:00:45 -703380.057516] Initial branch length optimization
[13:00:47 -548791.603267] Model parameter optimization (eps = 10.000000)
[13:01:21 -546284.436473] AUTODETECT spr round 1 (radius: 5)
[13:02:49 -444487.040447] AUTODETECT spr round 2 (radius: 10)
[13:04:23 -381932.008968] AUTODETECT spr round 3 (radius: 15)
[13:06:10 -340260.017815] AUTODETECT spr round 4 (radius: 20)
[13:07:58 -314339.621839] AUTODETECT spr round 5 (radius: 25)
[13:10:07 -297750.637001] SPR radius for FAST iterations: 25 (autodetect)
[13:10:07 -297750.637001] Model parameter optimization (eps = 3.000000)
[13:10:13 -297722.594732] FAST spr round 1 (radius: 25)
[13:12:52 -265486.437565] FAST spr round 2 (radius: 25)
[13:14:46 -264339.324528] FAST spr round 3 (radius: 25)
[13:16:24 -264184.053342] FAST spr round 4 (radius: 25)
[13:17:54 -264148.049297] FAST spr round 5 (radius: 25)
[13:19:13 -264146.991362] FAST spr round 6 (radius: 25)
[13:20:29 -264146.990936] Model parameter optimization (eps = 1.000000)
[13:20:48 -262967.769269] SLOW spr round 1 (radius: 5)
[13:22:24 -262889.232783] SLOW spr round 2 (radius: 5)
[13:24:00 -262878.593485] SLOW spr round 3 (radius: 5)
[13:25:30 -262878.066289] SLOW spr round 4 (radius: 5)
[13:27:00 -262877.936212] SLOW spr round 5 (radius: 5)
[13:28:29 -262877.936157] SLOW spr round 6 (radius: 10)
[13:30:05 -262870.444894] SLOW spr round 7 (radius: 5)
[13:31:53 -262859.181913] SLOW spr round 8 (radius: 5)
[13:33:30 -262857.460701] SLOW spr round 9 (radius: 5)
[13:35:02 -262857.460108] SLOW spr round 10 (radius: 10)
[13:36:39 -262857.460063] SLOW spr round 11 (radius: 15)
[13:38:53 -262856.173166] SLOW spr round 12 (radius: 5)
[13:40:42 -262855.436227] SLOW spr round 13 (radius: 5)
[13:42:20 -262855.435657] SLOW spr round 14 (radius: 10)
[13:43:59 -262855.435610] SLOW spr round 15 (radius: 15)
[13:46:11 -262855.435574] SLOW spr round 16 (radius: 20)
[13:49:03 -262854.359408] SLOW spr round 17 (radius: 5)
[13:50:53 -262854.359269] SLOW spr round 18 (radius: 10)
[13:52:42 -262854.359233] SLOW spr round 19 (radius: 15)
[13:54:54 -262854.359197] SLOW spr round 20 (radius: 20)
[13:57:48 -262854.359161] SLOW spr round 21 (radius: 25)
[14:01:07 -262851.117753] SLOW spr round 22 (radius: 5)
[14:02:58 -262851.117717] SLOW spr round 23 (radius: 10)
[14:04:50 -262851.117680] SLOW spr round 24 (radius: 15)
[14:07:01 -262851.117643] SLOW spr round 25 (radius: 20)
[14:09:56 -262851.117606] SLOW spr round 26 (radius: 25)
[14:13:13 -262850.892378] SLOW spr round 27 (radius: 5)
[14:15:04 -262850.892339] SLOW spr round 28 (radius: 10)
[14:16:56 -262850.892299] SLOW spr round 29 (radius: 15)
[14:19:07 -262850.892260] SLOW spr round 30 (radius: 20)
[14:22:02 -262850.892220] SLOW spr round 31 (radius: 25)
[14:25:19 -262850.892180] Model parameter optimization (eps = 0.100000)

[14:25:31] ML tree search #15, logLikelihood: -262848.997814

[14:25:31 -709742.690999] Initial branch length optimization
[14:25:33 -548472.818304] Model parameter optimization (eps = 10.000000)
[14:26:01 -546012.228408] AUTODETECT spr round 1 (radius: 5)
[14:27:28 -448127.473096] AUTODETECT spr round 2 (radius: 10)
[14:29:02 -386511.542097] AUTODETECT spr round 3 (radius: 15)
[14:30:48 -340050.193370] AUTODETECT spr round 4 (radius: 20)
[14:32:36 -308037.302696] AUTODETECT spr round 5 (radius: 25)
[14:34:39 -301386.133633] SPR radius for FAST iterations: 25 (autodetect)
[14:34:39 -301386.133633] Model parameter optimization (eps = 3.000000)
[14:34:57 -299542.580643] FAST spr round 1 (radius: 25)
[14:37:24 -266666.231455] FAST spr round 2 (radius: 25)
[14:39:16 -265000.294891] FAST spr round 3 (radius: 25)
[14:40:55 -264393.787399] FAST spr round 4 (radius: 25)
[14:42:27 -263980.518883] FAST spr round 5 (radius: 25)
[14:43:48 -262980.671857] FAST spr round 6 (radius: 25)
[14:45:07 -262963.303828] FAST spr round 7 (radius: 25)
[14:46:22 -262962.146447] FAST spr round 8 (radius: 25)
[14:47:37 -262961.560975] FAST spr round 9 (radius: 25)
[14:48:51 -262961.560963] Model parameter optimization (eps = 1.000000)
[14:49:02 -262947.045283] SLOW spr round 1 (radius: 5)
[14:50:32 -262884.661811] SLOW spr round 2 (radius: 5)
[14:52:06 -262873.801981] SLOW spr round 3 (radius: 5)
[14:53:37 -262870.999839] SLOW spr round 4 (radius: 5)
[14:55:07 -262868.967642] SLOW spr round 5 (radius: 5)
[14:56:35 -262868.967591] SLOW spr round 6 (radius: 10)
[14:58:12 -262865.280085] SLOW spr round 7 (radius: 5)
[14:59:56 -262865.279381] SLOW spr round 8 (radius: 10)
[15:01:39 -262865.279340] SLOW spr round 9 (radius: 15)
[15:03:54 -262865.279332] SLOW spr round 10 (radius: 20)
[15:06:46 -262865.279326] SLOW spr round 11 (radius: 25)
[15:09:59 -262865.279320] Model parameter optimization (eps = 0.100000)

[15:10:07] ML tree search #16, logLikelihood: -262865.060757

[15:10:07 -699655.107306] Initial branch length optimization
[15:10:09 -545754.586936] Model parameter optimization (eps = 10.000000)
[15:10:40 -543440.651695] AUTODETECT spr round 1 (radius: 5)
[15:12:08 -444121.657571] AUTODETECT spr round 2 (radius: 10)
[15:13:43 -390123.633370] AUTODETECT spr round 3 (radius: 15)
[15:15:34 -334120.354883] AUTODETECT spr round 4 (radius: 20)
[15:17:39 -307093.761644] AUTODETECT spr round 5 (radius: 25)
[15:19:35 -295531.965068] SPR radius for FAST iterations: 25 (autodetect)
[15:19:35 -295531.965068] Model parameter optimization (eps = 3.000000)
[15:19:52 -294217.138643] FAST spr round 1 (radius: 25)
[15:22:07 -264722.358069] FAST spr round 2 (radius: 25)
[15:23:53 -263184.888073] FAST spr round 3 (radius: 25)
[15:25:27 -262997.452830] FAST spr round 4 (radius: 25)
[15:26:52 -262969.659106] FAST spr round 5 (radius: 25)
[15:28:12 -262952.459900] FAST spr round 6 (radius: 25)
[15:29:28 -262950.863025] FAST spr round 7 (radius: 25)
[15:30:43 -262950.860736] Model parameter optimization (eps = 1.000000)
[15:30:54 -262944.888767] SLOW spr round 1 (radius: 5)
[15:32:25 -262881.521472] SLOW spr round 2 (radius: 5)
[15:33:57 -262872.946303] SLOW spr round 3 (radius: 5)
[15:35:28 -262870.451325] SLOW spr round 4 (radius: 5)
[15:36:57 -262870.451284] SLOW spr round 5 (radius: 10)
[15:38:35 -262863.408283] SLOW spr round 6 (radius: 5)
[15:40:21 -262857.991736] SLOW spr round 7 (radius: 5)
[15:41:57 -262857.591658] SLOW spr round 8 (radius: 5)
[15:43:30 -262857.591589] SLOW spr round 9 (radius: 10)
[15:45:06 -262857.591583] SLOW spr round 10 (radius: 15)
[15:47:25 -262853.249629] SLOW spr round 11 (radius: 5)
[15:49:14 -262853.248832] SLOW spr round 12 (radius: 10)
[15:51:01 -262853.248811] SLOW spr round 13 (radius: 15)
[15:53:16 -262853.248806] SLOW spr round 14 (radius: 20)
[15:56:11 -262853.248801] SLOW spr round 15 (radius: 25)
[15:59:26 -262853.248796] Model parameter optimization (eps = 0.100000)

[15:59:35] ML tree search #17, logLikelihood: -262852.891232

[15:59:35 -704784.353432] Initial branch length optimization
[15:59:37 -546352.198472] Model parameter optimization (eps = 10.000000)
[15:59:57 -543945.485218] AUTODETECT spr round 1 (radius: 5)
[16:01:22 -447292.674351] AUTODETECT spr round 2 (radius: 10)
[16:02:59 -376541.537271] AUTODETECT spr round 3 (radius: 15)
[16:04:42 -327810.491422] AUTODETECT spr round 4 (radius: 20)
[16:06:42 -293230.888430] AUTODETECT spr round 5 (radius: 25)
[16:09:01 -290736.752493] SPR radius for FAST iterations: 25 (autodetect)
[16:09:01 -290736.752493] Model parameter optimization (eps = 3.000000)
[16:09:17 -289510.556281] FAST spr round 1 (radius: 25)
[16:11:42 -264405.135423] FAST spr round 2 (radius: 25)
[16:13:35 -263480.562810] FAST spr round 3 (radius: 25)
[16:15:12 -263386.819406] FAST spr round 4 (radius: 25)
[16:16:38 -263074.462225] FAST spr round 5 (radius: 25)
[16:17:57 -263046.036678] FAST spr round 6 (radius: 25)
[16:19:13 -263046.035968] Model parameter optimization (eps = 1.000000)
[16:19:25 -263033.783031] SLOW spr round 1 (radius: 5)
[16:21:02 -262927.865563] SLOW spr round 2 (radius: 5)
[16:22:35 -262926.494782] SLOW spr round 3 (radius: 5)
[16:24:07 -262926.483529] SLOW spr round 4 (radius: 10)
[16:25:45 -262917.702663] SLOW spr round 5 (radius: 5)
[16:27:32 -262913.020841] SLOW spr round 6 (radius: 5)
[16:29:09 -262913.020398] SLOW spr round 7 (radius: 10)
[16:30:47 -262913.020362] SLOW spr round 8 (radius: 15)
[16:33:07 -262910.887825] SLOW spr round 9 (radius: 5)
[16:34:55 -262910.886463] SLOW spr round 10 (radius: 10)
[16:36:42 -262910.886401] SLOW spr round 11 (radius: 15)
[16:38:58 -262910.886393] SLOW spr round 12 (radius: 20)
[16:41:47 -262910.886387] SLOW spr round 13 (radius: 25)
[16:44:54 -262910.886382] Model parameter optimization (eps = 0.100000)

[16:45:02] ML tree search #18, logLikelihood: -262910.388312

[16:45:02 -703976.655562] Initial branch length optimization
[16:45:04 -547276.716982] Model parameter optimization (eps = 10.000000)
[16:45:37 -545122.123326] AUTODETECT spr round 1 (radius: 5)
[16:47:04 -444077.628397] AUTODETECT spr round 2 (radius: 10)
[16:48:38 -388470.143108] AUTODETECT spr round 3 (radius: 15)
[16:50:27 -328424.895728] AUTODETECT spr round 4 (radius: 20)
[16:52:23 -308082.357000] AUTODETECT spr round 5 (radius: 25)
[16:54:22 -300847.544472] SPR radius for FAST iterations: 25 (autodetect)
[16:54:22 -300847.544472] Model parameter optimization (eps = 3.000000)
[16:54:46 -299541.906512] FAST spr round 1 (radius: 25)
[16:57:12 -267193.057933] FAST spr round 2 (radius: 25)
[16:59:09 -263800.847227] FAST spr round 3 (radius: 25)
[17:00:50 -263186.876682] FAST spr round 4 (radius: 25)
[17:02:20 -263085.373069] FAST spr round 5 (radius: 25)
[17:03:41 -263055.691629] FAST spr round 6 (radius: 25)
[17:04:58 -263055.136085] FAST spr round 7 (radius: 25)
[17:06:13 -263055.136024] Model parameter optimization (eps = 1.000000)
[17:06:21 -263044.122171] SLOW spr round 1 (radius: 5)
[17:07:58 -262967.649613] SLOW spr round 2 (radius: 5)
[17:09:33 -262950.508845] SLOW spr round 3 (radius: 5)
[17:11:08 -262925.461466] SLOW spr round 4 (radius: 5)
[17:12:40 -262923.815537] SLOW spr round 5 (radius: 5)
[17:14:11 -262914.258850] SLOW spr round 6 (radius: 5)
[17:15:41 -262912.090482] SLOW spr round 7 (radius: 5)
[17:17:10 -262912.003156] SLOW spr round 8 (radius: 10)
[17:18:48 -262897.654687] SLOW spr round 9 (radius: 5)
[17:20:36 -262887.999783] SLOW spr round 10 (radius: 5)
[17:22:12 -262887.999663] SLOW spr round 11 (radius: 10)
[17:23:51 -262887.999654] SLOW spr round 12 (radius: 15)
[17:26:08 -262887.999649] SLOW spr round 13 (radius: 20)
[17:29:00 -262887.999645] SLOW spr round 14 (radius: 25)
[17:32:19 -262887.999641] Model parameter optimization (eps = 0.100000)

[17:32:23] ML tree search #19, logLikelihood: -262887.961349

[17:32:23 -700823.027852] Initial branch length optimization
[17:32:25 -545932.391250] Model parameter optimization (eps = 10.000000)
[17:32:51 -543601.122652] AUTODETECT spr round 1 (radius: 5)
[17:34:18 -437961.483990] AUTODETECT spr round 2 (radius: 10)
[17:35:53 -373661.466311] AUTODETECT spr round 3 (radius: 15)
[17:37:34 -337282.541617] AUTODETECT spr round 4 (radius: 20)
[17:39:33 -321793.431594] AUTODETECT spr round 5 (radius: 25)
[17:41:29 -320139.405086] SPR radius for FAST iterations: 25 (autodetect)
[17:41:29 -320139.405086] Model parameter optimization (eps = 3.000000)
[17:41:51 -318912.179526] FAST spr round 1 (radius: 25)
[17:44:11 -291899.982494] FAST spr round 2 (radius: 25)
[17:46:12 -267436.328184] FAST spr round 3 (radius: 25)
[17:47:49 -263286.301645] FAST spr round 4 (radius: 25)
[17:49:16 -263055.361224] FAST spr round 5 (radius: 25)
[17:50:36 -263042.897602] FAST spr round 6 (radius: 25)
[17:51:52 -263042.896693] Model parameter optimization (eps = 1.000000)
[17:51:56 -263042.487323] SLOW spr round 1 (radius: 5)
[17:53:30 -262983.470797] SLOW spr round 2 (radius: 5)
[17:55:04 -262977.995209] SLOW spr round 3 (radius: 5)
[17:56:34 -262977.991617] SLOW spr round 4 (radius: 10)
[17:58:13 -262958.795698] SLOW spr round 5 (radius: 5)
[18:00:00 -262939.743288] SLOW spr round 6 (radius: 5)
[18:01:39 -262933.356546] SLOW spr round 7 (radius: 5)
[18:03:13 -262933.062437] SLOW spr round 8 (radius: 5)
[18:04:43 -262933.061942] SLOW spr round 9 (radius: 10)
[18:06:20 -262929.090719] SLOW spr round 10 (radius: 5)
[18:08:04 -262928.654308] SLOW spr round 11 (radius: 5)
[18:09:40 -262928.654029] SLOW spr round 12 (radius: 10)
[18:11:19 -262928.654024] SLOW spr round 13 (radius: 15)
[18:13:32 -262928.654022] SLOW spr round 14 (radius: 20)
[18:16:17 -262928.654021] SLOW spr round 15 (radius: 25)
[18:19:27 -262927.746677] SLOW spr round 16 (radius: 5)
[18:21:19 -262926.208957] SLOW spr round 17 (radius: 5)
[18:23:00 -262926.208942] SLOW spr round 18 (radius: 10)
[18:24:41 -262926.208938] SLOW spr round 19 (radius: 15)
[18:26:50 -262926.208935] SLOW spr round 20 (radius: 20)
[18:29:35 -262926.208932] SLOW spr round 21 (radius: 25)
[18:32:41 -262924.549818] SLOW spr round 22 (radius: 5)
[18:34:33 -262924.549590] SLOW spr round 23 (radius: 10)
[18:36:25 -262924.549587] SLOW spr round 24 (radius: 15)
[18:38:34 -262924.549584] SLOW spr round 25 (radius: 20)
[18:41:21 -262924.549581] SLOW spr round 26 (radius: 25)
[18:44:28 -262924.549578] Model parameter optimization (eps = 0.100000)

[18:44:44] ML tree search #20, logLikelihood: -262903.666276


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.149631,0.438294) (0.194337,0.479526) (0.394632,0.913591) (0.261400,1.838928) 
   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: -262837.250464

AIC score: 529684.500928 / AICc score: 8573744.500928 / BIC score: 537971.964005
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=461).
         This might lead to overfitting and compromise tree inference results!


WARNING: Best ML tree contains 143 near-zero branches!

Best ML tree with collapsed near-zero branches saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9BZK7/3_mltree/Q9BZK7.raxml.bestTreeCollapsed
Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9BZK7/3_mltree/Q9BZK7.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9BZK7/3_mltree/Q9BZK7.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9BZK7/3_mltree/Q9BZK7.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9BZK7/3_mltree/Q9BZK7.raxml.log

Analysis started: 30-Jun-2021 17:54:00 / finished: 01-Jul-2021 12:38:45

Elapsed time: 67484.591 seconds

Consumed energy: 4830.819 Wh (= 24 km in an electric car, or 121 km with an e-scooter!)